Artificial Intelligence and Environmental Compliance–Revisited–Part 2: IoT

More recently, big data has become more closely tied to IoT-generated streaming datasets such as Continued Air Emission Measurements (CEMS), real-time remote control and monitoring of treatment systems, water quality monitoring instrumentation, wireless sensors, and other types of wearable mobile devices. Add digitized historical records to this data streaming, and you end up with a deluge of data. (To learn more about big data and IoT trends in the EHS industry, please read this article: Keeping the Pulse on the Planet using Big Data.) 

In the 1989 Hazardous Data Explosionarticle that I mentioned earlier, we first identified the limitation of relational database technology in interpreting data and the importance that IoT (automation as it was called at the time) and AI were going to play in the EHS industry. We wrote: 

“It seems unavoidable that new or improved automated data processing techniques will be needed as the hazardous waste industry evolves. Automation (read IoT) can provide tools that help shorten the time it takes to obtain specific test results, extract the most significant findings, produce reports and display information graphically,” 

IoT - Internet of Things

We also claimed that “expert systems” (a piece of software programmed using artificial intelligence (AI) techniques. Such systems use databases of expert knowledge to offer advice or make decisions.) and AI could be possible solutions—technologies that have been a long time coming but still have a promising future in the context of big data. 

“Currently used in other technical fields, expert systems employ methods of artificial intelligence for interpreting and processing large bodies of information.” 

Although “expert systems” as a backbone for AI did not materialize as it was originally envisioned by researches, it was a necessary step that was needed to use big data to fulfil the purpose of an “expert”. 

AI can be harnessed in a wide range of EHS compliance activities and situations to contribute to managing environmental impacts and climate change. Some examples of application include AI-infused permit management, AI-based permit interpretation and response to regulatory agencies, precision sampling, predicting natural attenuation of chemicals in water, managing sustainable supply chains, automating environmental monitoring and enforcement, and enhanced sampling and analysis based on real-time weather forecasts. 

Parts one, three, and four of this blog series complete the overview of Big Data, IoT, AI and multi-tenancy. We look forward to feedback on our ideas and are interested in hearing where others see the future of AI in EHS software – contact us for more discussion or ideas!

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    Is PFAS Contamination in US Drinking Water Supply the Next Crisis?

    In most cities in the US, drinking water quality conforms with the norms of the Safe Drinking Water Act, which requires EPA to set Maximum Contaminant Levels (MCL) for potential pollutants. Besides, the EPA’s Consumer Confidence Rule (CCR) of 1998 requires most public water suppliers to provide consumer confidence reports, also known as annual water quality reports, to their customers.

    PFAS stands for “perfluoroalkyl and polyfluoroalkyl substances,” with the most important thing to know that this large group of synthetic chemicals includes perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS).

    Not Regulated by EPA

    When it comes to drinking water from the tap in the US, the phrase that fits concerning PFOA and PFOS is “caveat emptor” (buyer beware). The EPA has not regulated these chemicals. There are no federal regulations for PFOA and PFOS in drinking water in the US.

    In May 2016, the EPA established a drinking water “health advisory” of 70 parts per trillion (ppt) for the combined concentrations of PFOA and PFOS. While that was a start, there’s a big difference between a health advisory and a regulation that has teeth. Moreover, many scientists consider 70 ppt too high a limit. Reportedly, the EPA is considering turning its 70 ppt health advisory into regulation.

    Meanwhile, some states have stepped up to the plate to protect their residents and visitors better. In April 2019, for instance, the New Jersey Department of Environmental Protection (DEP) proposed maximum contamination levels (MCLs) of 14 ppt for PFOA and 13 ppt for PFOS in the state’s drinking water.

    As a water consumer, you should be aware of this crisis, as it has the potential to affect both your health and wealth.

    What are PFOA and PFOS?

    This toxic couple has contaminated the drinking water supply in areas surrounding some industrial sites and military bases. They’re the most studied of the PFAS group because they’re the ones that have been produced in the most significant quantities in the United States, according to the US Environmental Protection Agency (EPA).

    PFOA and PFOS, which repel water and stains of various types, have been used as coatings on fabrics and leather and in the production of stain-repellent carpeting and are found in firefighting foams — which have been used extensively on US military bases for decades — among other products. Moreover, some related polyfluoroalkyl compounds can be transformed into these chemicals in the environment, per the National Institutes of Health (NIH), with the Environmental Working Group (EWG) stating that some perfluorinated chemicals not only break down into PFOA in the environment but also can do so in the human body.

    While PFOA and PFOS are no longer made in the US, that hardly matters in our global economy. Both are still produced internationally, which means they end up in our country via imports of consumer goods such as carpet, apparel, textiles, and paper and packaging.

    Why all the concern about PFOA and PFOS?

    These chemicals — dubbed “forever chemicals” because they’re persistent in the environment and the human body — have been linked to cancer, thyroid disease, weakened the immune system and liver function, low infant birth weight, and other health problems, according to many sources.

    And this is what the EPA says: “There is evidence that exposure to PFAS can lead to adverse health outcomes in humans. If humans, or animals, ingest PFAS…the PFAS are absorbed and can accumulate in the body. PFAS stay in the human body for long periods. As a result, as people get exposed to PFAS from different sources over time, the level of PFAS in their bodies may increase to the point where they suffer from adverse health effects.”

    Artificial Intelligence and Environmental Compliance–Revisited

    On 12 April 2019, Locus’ Founder and CEO, Neno Duplan, received the prestigious Carnegie Mellon 2019 CEE (Civil and Environmental Engineering) Distinguished Alumni Award for outstanding accomplishments at Locus Technologies. In light of this recognition, Locus decided to dig into our blog vault, share a series of visionary blogs crafted by our Founder in 2016. These ideas are as timely and relevant today as they were three years ago, and hearken to his formative years at Carnegie Mellon, which formed the foundation for the current success of Locus Technologies as top innovator in the water and EHS compliance space.

    Artificial Intelligence (AI) for Better EHS Compliance (original blog from 2016)

    It is funny how a single acronym can take you back in time. A few weeks ago when I watched 60 Minutes’ segment on AI (Artificial Intelligence) research conducted at Carnegie Mellon University, I was taken back to the time when I was a graduate student at CMU and a member of the AI research team for geotechnical engineering. Readers who missed this program on October 9, 2016, can access it online.

    Fast forward thirty plus years and AI is finally ready for prime time television and a prominent place among the disruptive technologies that have so shaken our businesses and society. This 60 Minutes story prompted me to review the progress that has occurred in the field of AI technology, why it took so long to come to fruition, and the likely impact it will have in my field of environmental and sustainability management. I discuss these topics below. I also describe the steps that we at Locus have taken to put our customers in the position to capitalize on this exciting (but not that new) technology.

    What I could not have predicted when I was at Carnegie Mellon is that AI was going to take a long time to mature–almost the full span of one’s professional career. The reasons for this are multiple, the main one being that several other technologies were absent or needed to mature before the promises of AI could be realized. These are now in place. Before I dive into AI and its potential impact on the EHS space, let me touch on these “other” major (disruptive) technologies without which AI would not be possible today: SaaS, Big Data, and IoT (Internet of Things).

    Locus Artificial Intelligence

    As standalone technologies, each of these has brought about profound changes in both the corporate and consumer worlds. However, these impacts are small when compared to the impact all three of these will have when combined and interwoven with AI in the years to come. We are only in the earliest stages of the AI computing revolution that has been so long in the coming.

    I have written extensively about SaaS, Big Data, and IoT over the last several decades. All these technologies have been an integral part of Locus’ SaaS offering for many years now, and they have proven their usefulness by rewarding Locus with contracts from major Fortune 500 companies and the US government. Let me quickly review these before I dive into AI (as AI without them is not a commercially viable technology).


    Big Data

    Massive quantities of new information from monitoring devices, sensors, treatment systems controls and monitoring, and customer legacy databases are now pouring into companies EHS departments with few tools to analyze them on arrival. Some of the data is old information that is newly digitized, such as analytical chemistry records, but other information like streaming of monitoring wireless and wired sensor data is entirely new. At this point, most of these data streams are highly balkanized as most companies lack a single system of record to accommodate them. However, that is all about to change.

    As a graduate student at Carnegie Mellon in the early eighties, I was involved with the exciting R&D project of architecting and building the first AI-based Expert System for subsurface site characterization, not an easy task even by today’s standards and technology. AI technology at the time was in its infancy, but we were able to build a prototype system for geotechnical site characterization, to provide advice on data interpretation and on inferring depositional geometry and engineering properties of subsurface geology with a limited amount of data points. The other components of the research included a relational database to store the site data, graphics to produce “alternative stratigraphic images” and network workstations to carry out the numerical and algorithmic processing. All of this transpired before the onset of the internet revolution and before any acronyms like SaaS, AI, or IoT had entered our vocabulary. This early research led to the development of a set of commercial tools and technological improvements and ultimately to the formation of Locus Technologies in 1997.

    Part of this early research included management of big data, which is necessary for any AI undertaking. As a continuation of this work at Carnegie Mellon, Dr. Greg Buckle and I published an article in 1989 about the challenges of managing massive amounts of data generated from testing and long-term monitoring of environmental projects. This was at a time when spreadsheets and paper documents were king, and relational databases were little used for storing environmental data.

    The article, “Hazardous Data Explosion,“ published in the December 1989 issue of the ASCE Civil Engineering Magazine, was among the first of its kind to discuss the upcoming Big Data boom within the environmental space and placed us securely at the forefront of the big data craze. This article was followed by a sequel article in the same magazine in 1992, titled “Taming Environmental Data,“ that described the first prototype solution to managing environmental data using relational database technology. In the intervening years, this prototype eventually became the basis of the industry’s first multi-tenant SaaS system for environmental information management.

    Locus - Big Data - IoT - AI

    Today, the term big data has become a staple across various industries to describe the enormity and complexity of datasets that need to be captured, stored, analyzed, visualized, and reported. Although the concept may have gained public popularity relatively recently, big data has been a formidable fixture in the EHS industry for decades. Initially, big data in EHS space was almost entirely associated with the results of analytical, geotechnical, and field testing of water, groundwater, soil, and air samples in the field and laboratory. Locus’ launch of its Internet-based Environmental Information Management (EIM) system in 1999 was intended to provide companies not only with a repository to store such data, but also with the means to upload such data into the cloud and the tools to analyze, organize, and report on these data.

    In the future, companies that wish to remain competitive will have no choice but bring together their streams of (seemingly) unrelated and often siloed big data into systems such as EIM that allow them to evaluate and assess their environmental data with advanced analytics capabilities. Big data coupled with intelligent databases can offer real-time feedback for EHS compliance managers who can better track and offset company risks. Without the big data revolution, there would be no coming AI revolution.


    AI and Water Management – Looking Ahead

    There has been much talk about how artificial intelligence (AI) will affect various aspects of our lives, but little has been said to date about how the technology can help to make water quality management better. The recent growth in AI spells a big opportunity for water quality management. There is enormous potential for AI to be an essential tool for water management and decoupling water and climate change issues.

    Two disruptive megatrends of digital transformation and decarbonization of economy could come together in the future. AI could make a significant dent in global greenhouse gas (GHG) emissions by merely providing better tools to manage water. The vast majority of energy consumption is wasted on water treatment and movement. AI can help optimize both.

    AI is a collective term for technologies that can sense their environment, think, learn, and take action in response to what they’re detecting and their objectives. Applications can range from automation of routine tasks like sampling and analyses of water samples to augmenting human decision-making and beyond to automation of water treatment systems and discovery – vast amounts of data to spot, and act on patterns, which are beyond our current capabilities.

    Applying AI in water resource prediction, management and monitoring can help to ameliorate the global water crisis by reducing or eliminating waste, as well as lowering costs and lessening environmental impacts.

    Parts two, three, and four of this blog series complete the overview of Big Data, Iot, AI and multi-tenancy. We look forward to feedback on our ideas and are interested in hearing where others see the future of AI in EHS software – contact us for more discussion or ideas!

    Contact us to learn more about Locus uses IoT and AI

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      EHS Digital Transformation: Managing Drinking Water Quality Data and Compliance: CCR in the Cloud

      In most industrialized cities around the world, drinking water is readily available and safe. Safeguarding groundwater (aquifers), streams, rivers, reservoirs, and lakes is crucial to continue delivering clean water on the tap. So is testing and validated water quality data. There are several aspects of drinking water quality that is of concern in the United States, including Cryptosporidium, disinfection by-products, lead, perchlorates, and pharmaceutical substances.

      Mobile - Managing Drinking Water Quality Data and Compliance

      Recent headlines about water quality issues in cities like Flint, Pittsburgh, Asheville, or Rome and Capetown are motivating consumers to ask more questions about their water quality. Albuquerque’s groundwater is becoming seriously depleted; Fresno’s groundwater is highly susceptible to contamination; In Atlanta, Chicago, Detroit, Houston, Los Angeles, New Orleans, Newark, Philadelphia, Phoenix, San Diego and Washington, D.C., source water is threatened by runoff and industrial or sewage contamination; Water supplies in Baltimore, Fresno, Los Angeles, New Orleans, San Diego, and several other cities are vulnerable to agricultural pollution containing nitrogen, pesticides or sediment.

      Drinking water supply

      Locus Technologies IoT Monitoring. Connected at all times.

      In most cities in the US, drinking water quality is in conformity with the norms of the Safe Drinking Water Act, which requires EPA to set Maximum Contaminant Levels (MCL) for potential pollutants. In addition, the EPA’s Consumer Confidence Report (CCR) Rule of 1998 requires most public water suppliers to provide consumer confidence reports, also known as annual water quality reports, to their customers. Each year by July 1 anyone connected to a public water system should receive in the mail an annual water quality report that tells where water in a specific locality comes from and what’s in it. Locus EIM automates this reporting and allows utilities to be transparent by publishing CCR online in real time so that consumers have access to their CCR at all times. Consumers can also find out about these local reports on a map provided by EPA.

      Utilities must maintain good water quality records and manage them in a secure database with built-in alerts for any outliers so that responsible water quality managers can react quickly when there is exceedance of MCL or another regulatory limit.

      [sc_button link=”https://www.locustec.com/applications/industry/water-utilities/” text=”Learn more about our water solutions” link_target=”_self” background_color=”52a6ea” centered=”1″]

       

      A better way to manage all those ops readings

      Manage all those ops readings without spreadsheets or paper forms

      I am constantly reminded by the number of calls we receive, that no matter how robust a SCADA and HMI system is, there is always a requirement for in-field O&M verification and documentation. It’s almost universal, and spans a myriad of industries, large and small, the need to monitor and record thousands of periodic (daily/per shift/weekly, etc.) routine readings/recordings at a prescribed frequency often recorded on pen to paper field forms. The same processes sometimes use “template” spreadsheets for data collection that are then emailed/placed on shared file servers or otherwise sent to some central location for review and post processing. These processes are antiquated and subject to data quality and record keeping challenges.

      It’s time for an upgrade!

      Why simple form builders are not a good software solution for ops data

      Electronic forms are great for collecting data and almost every business entity has built such forms in spreadsheets, word processing or simple databases to collect the information. In addition, there is a software category of form builders and they can certainly build forms. The question becomes is it a good fit so solve your business process issues?
      Most customers have more sophisticated needs than simply collecting information on one or more custom forms – they want to do something with all the information collected far beyond what simple form builder tools can provide. Even customers with sophisticated spreadsheet forms, can’t manage them as they multiply exponentially or their Excel gurus retire.

      Here are some examples of where you may require software tools beyond a simple form builder:

      • Collecting equipment readings on each shift at multiple locations and report the data to centralized management, who review the data, look for trends/ issues.
      • Verifying and validating data at the point of data entry to eliminate data entry errors.
      • Automatically visualizing (charts or tables) information in near real time to make operations decisions.
      • Sharing the information with others.
      • Scheduling activities related to periodic or infrequent data collection events.
      • Receiving notifications when actions are due.
      • Automatically creating regulatory reports in prescribed formats.
      • Creating complex work flows and audited approval processes.
      • Creating intelligent forms with calculations based on past data or other criteria
      Locus Platform Mobile Summary Table

      Forms with Benefits

      Locus Platform is a configurable platform with standard applications that are easy to configure to customers unique requirements. One of its many strengths is its powerful form builder capable of creating simple or complex forms with simple or sophisticated logic. So for customers looking to move from paper and spreadsheet templates, it’s an excellent option to consider, especially if you require more than a simple “fill in the blank” form for transmittal using mobile devices. Best of all, the data are securely stored in a database structure for reporting and alternative business uses and analyses, compared to the almost impossible management of hundreds of spreadsheets or paper forms.

      Here are some examples where sophisticated forms are integrated with a flexible database:

      • Water Utilities – Tracking chlorination and aerobic digestion processes with daily inputs/outputs with a monthly summary and chart, and tracking well production across well fields.
      • Water Utilities – Tracking periodic sewer discharges and water samples for permit compliance.
      • Agriculture – Monitoring food processing equipment for compliance with optimum equipment operating parameters for air permits.
      • Pharmaceutical/Chemical Manufacturing Facilities- Tracking EHS daily, weekly, monthly, etc. investigations and in-house audits.
      • Universities – tracking chemical inventories.
      • Facility Engineering – Documenting O&M activities for groundwater treatment systems.
      • Electric Utilities – Monitoring water/energy/gas usage from old style meters for sustainability reporting with data entry validation.
      • Refineries and Terminals – Collecting O&M, usage and wastewater data.
      Locus Mobile integrates with Locus Platform

      If you still rely on paper forms and template spreadsheets and are ready to streamline your process and enhance the value of your data, give us a call and we can show you a range of options that will retire the paper forms for good!

       

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        Locus announces EIM One — a new way to streamline environmental data management for projects of all sizes and needs

        MOUNTAIN VIEW, Calif., 12 March 2019 — Locus Technologies, (Locus), the industry leader in EHS, sustainability, and environmental compliance management software, is pleased to announce EIM One is available today, enabling a range of affordable solutions to automate laboratory analytical testing, analytical data workflow process, and meet environmental information management and EHS compliance needs.

        “EIM has been a market leader since its introduction in 1999, and has a long history meeting the environmental compliance needs at a wide range of complex, technically challenging sites and enterprise deployments. However, some projects need a simpler, focused solution to manage analytical data for small sites or drinking water utilities. It’s for these projects that EIM One was created. EIM One can be deployed on hours’ notice and used for routine data collection needs often handled by spreadsheets or paper forms,” said Wes Hawthorne, President of Locus.

        With today’s current push towards digital transformation, many consultants, small firms, water utilities, and others are ready to finally move away from ad hoc data management approaches and adopt a more robust and formal software solution. However, it is important that the solution be configurable, scalable and right-sized for their needs today and be able to expand as their needs and businesses change.

        EIM One takes advantage of Locus’ 20-year history of EHS software in the cloud and includes all the essentials for environmental and analytical data management in a modular and scalable package. This means customers can start with the essentials and add functionality when and if they need it. This approach allows Locus to offer a range of attractive pricing options. With the essential EIM One configuration, customers will be loading analytical laboratory data and producing reports in record time and taking advantage of market tested SaaS-based database design, configurability, security, and accessibility.

        “EIM One is a great place to start if you’re new to digital transformation. We are excited to release EIM One and finally give customers the options they have been asking for and provide just the essentials they need so they can confidently start to digitally transform their older data management approaches at very affordable pricing” said Neno Duplan, Founder and CEO at Locus. “Today’s customer wants choice above all else, and EIM One gives them the options, including mobile, in a modern configurable SaaS solution.”

        Locus Technologies receives the prestigious EBJ Award for innovation and growth for 13 consecutive years

        Environmental Business Journal (EBJ) recognized the firm for growth and innovation in the field of Information Technology, customer diversification and IoT integration

        MOUNTAIN VIEW, Calif., 5 March 2019 — Locus Technologies, a leading provider of multi-tenant, SaaS-based EHS software, was awarded its 13th consecutive award by Environmental Business Journal (EBJ) for growth and innovation in the field of Information Technology. EBJ is a business research publication providing high-value strategic business intelligence to the environmental industry. Locus received the award for its 2018 customer diversification along with pioneering IoT integration for its various platforms and taking a leadership role in water quality management software for water utilities. Locus’ flagship products Locus EIM, Locus Platform and Locus Mobile continue to resonate with the marketplace and attract a wide range of forward thinking customers who rely on Locus software to provide innovative, secure and scalable applications to solve environmental compliance challenges.

        “Locus continues to influence the industry with its forward-thinking product set, pure SaaS architecture, and eye for customer needs,” said Grant Ferrier, president of Environmental Business International Inc. (EBI), publisher of Environmental Business Journal.

        “We are honored to receive the EBJ Information Technology award once again, and we shall continue to design robust solutions to meet diverse and complex EHS challenges with innovative cloud and mobile-based applications,” said Wes Hawthorne, President of Locus Technologies.

        Solving water utility data management challenges—one conversation at a time

        Last month I got the opportunity to attend AWWA Water Quality and Technology Conference in Toronto, Canada. I was very enthusiastic to interact first hand with end-users of different water technology tools, and interact with other water technology professionals.  It’s one thing to design software and support it, it’s a whole different thing to sit and talk with the real customers and real end users and get unfiltered feedback.

        As a Product Manager, I’m usually connected with our customers by the various email and messaging systems that provide an endless amount of documentation, but nothing can substitute for an in person conversation. I heard first-hand how there is a need to change existing business practices and stop using older, non-integrated systems that only provide part of the data solution. This scenario is not a new problem; there is a need by most water entities to centralize data, and more easily load, share, analyze and report data. I have had this general conversation many times, but the more in depth, one-on-one conversations about sample planning and data collection provided the most useful feedback. I had the opportunity to give a brief demonstration on “Scheduling and collecting routine water samples using Locus Mobile and EIM” at AWWA, which provided a great venue for candid feedback. Based on these conversations, I have summarized a list of frequent challenges that users encounter during their water sampling process and how they can be solved using the right tools or better communications.

        Challenge 1: Finding a flexible sampling planning tool

        The overall feedback I heard from attendees is their sampling is generally routine, but the planning tools need to allow flexibility in terms of different sampling intervals and date ranges, different field and analytical parameters, and account for location grouping. Using a well-designed application can pull together all of this detailed information, and can provide a summary view of the individual samples. A manager can easily view sample status, and whether the sample is complete, in process, or planned.  A well-designed application can also generate the chain of custody (COC), and lab and sample shipping date information and labels per sample, which is a huge time saver. This type of sample tracking detail seemed to be very useful to many conference attendees to help ensure they are in regulatory compliance with required sampling frequencies. A key feature to look for is an application that is flexible enough that it can allow one-time, unplanned sample events such as water main breaks, customer complaints and schedule changes, and can handle complex multi-year routine sampling with ease. As a plus, it’s easy for you or your manager to know where you stand at any time.

        EIM screenshot of sample planning edit form with email notification and calendars popouts

        Challenge 2: Eliminating data entry errors caused by hand data entry

        Everyone I talked with had dealt with data entry errors and fixing bad data when it was transcribed from field notes to Excel or other programs.  Everyone wanted a better way to streamline the error prone data collection process.  Many attendees were interested in an alternative to the pencil/paper/clipboard method and had goals to move to tablet or smartphone for data collection.   As a field data collection mobile product manager, this was my area of expertise.  The universal wish list for mobile field applications included:

        • Easy to use and set up
        • Built in data validation to catch data entry errors at the source
        • Direct upload to a data system so the end of the day all the daily samples were in the system with the push of a button
        • Prepopulating locations especially for large water systems
        • Complete field instructions for samplers on what to collect and where to collect it to eliminate missed samples
        • Smart tracking to know on a daily/weekly basis, what samples were collected and what samples were still outstanding
        • Integrated with sample planning tools (See challenge 1) to automate the sampling instructions and track the data collection activities vs plan

        Locus Mobile

        Challenge 3: Getting the most out of their software, especially regarding updates

        Everyone one is aware that software updates all the time.  Sometimes its security enhancements and sometime feature enhancements or bug fixes.  Based on feedback from attendees, a source of frustration is getting a software update and not knowing what was updated or how best to incorporate a new feature/enhancement into their established process.  There was also concern for impact to an established routine with field crews that were used to the existing way of doing things. Even if a functionality improved the workflow, enhancements are only valuable to a user if they understand how to use them and how to incorporate them into their existing process.

        Some suggestions from the attendees included:

        • Concurrent documentation updates with software updates
        • “Quick start” guides for new functionality
        • Online training on the new functionality with recording for later viewing
        • Heads up on what is coming in the next several months so they can do strategic planning (sharing the roadmap)
        • Sandbox environment to test the enhancements before going in production so they can plan how to incorporate the features into their process and train field crews

        Mobile applications, which appear very simple to the users, are in reality complex software and require careful integration with the receiving database for a range of complex use cases.  This makes rolling out new mobile features challenging for both the developers and the users.  Enhanced customer/developer communication along with a sandbox environment can go a long way towards solving some of the inherent issues with rapid innovations and updates associated with cloud and mobile software.

        Locus training and support

        Take Aways

        • In person feedback beats everything
        • Communication is key.
        • Software tools are available and can solve a lot of the common data management challenges, but know what you want, know the problem you are trying to solve, and know it will take some time and effort but the end result will significantly improve your business processes.

         


        About the author—Bill Donaldson, Locus Technologies

        Bill Donaldson, Locus Technologies

        Mr. Donaldson has 5 years experience in SaaS systems, performing Product Management and QA/QC of Locus Mobile iOS application and Locus’ Environmental Information Management system (EIM). While completing his B.S., Mr. Donaldson held several paid internships, where he configured a Relational GeoDatabase and a Database Management System (DBMS), for biological data entry.

        PennJersey Environmental Consulting selects Locus EIM SaaS-based software for its environmental compliance data

        Locus’ EIM Solution Will Streamline PennJersey Consulting’s Entire Environmental Laboratory Data Validation and Reporting

        MOUNTAIN VIEW, Calif., 11 December 2018 — Locus Technologies, (Locus), the industry leader in EHS, sustainability, and compliance management software, is pleased to announce that PennJersey Environmental Consulting (PennJersey), a leading environmental site assessment and remediation firm located in Milford, New Jersey, has selected Locus EIM SaaS-based software to more efficiently track analytical data, automate its field data collection, laboratory analyses, and overall enterprise data consolidation for its clients.

        “With Locus EIM, our professionals and staff will be positioned to manage our laboratory data more efficiently.  We were especially drawn to the ability to automate the laboratory data validation to assure the quality and usability of the data. EIM will provide our clients greater efficiency and allow us to focus on providing the timely and cost-effective solutions to their assessment and remediation challenges,” said Rodger Ferguson, President of PennJersey.

        “Our deep understanding of the EHS compliance market enables us to quickly address environmental mandates, such as PennJersey’s tracking and management of soil, air, and groundwater data, with precision,” said Neno Duplan, Founder and CEO of Locus.  “Locus EIM can indicate what levels of target compounds are in the soil, air, or water samples, how the data are trending, and provide real-time alerts to abnormalities.  Overall, our solution ensures better monitoring, real-time analysis, aggregations and reporting of data that leverages a modern SaaS-based platform.”

        Cut your monitoring costs with EIM sample planning

        Sample planning can be a valuable and necessary tool for many in highly regulated fields, including water utilities, where adherence to regulatory defined sampling schedules is essential.  Moreover, if you have reviewed the drinking water requirements, you know the regulations require complex and variable schedules ranging from monthly samples at routine locations for a set list of parameters to once every five, seven, or nine years at other locations for a completely different list of parameters.  Missing a required sampling event can mean fines and public notice to customers.

        Other industries face similar complex sampling needs and the financial and reputational impacts can be hefty for missing required samples. So if you are currently an EIM user, or considering an environmental information management system, don’t forget about sample planning components that will save you time and money.

        Here are some benefits of Sample Planning that may make you a believer.

        Streamline routine or repetitive sampling – set it up once and reuse or modify as needed

        Sample Planning in EIM excels in streamlining repetitive sampling, such as required drinking water samples, or quarterly monitoring well samples.  Any sampling events with a schedule from daily to once every 10 years can be planned in EIM’s module and reused again and again, even with tweaks to the schedule for the samples to be collected.  Imagine the time savings and the simplicity of having your regulatory requirements all lined out for the year and not have to worry about missing required samples.  For water utilities, this is especially valuable given the very strict schedules and the public health implications of missing sampling events.

        EIM screenshot of sample planning edit form with email notification and calendars popouts

         

         

        Automatically generate COCs and bottle labels

        When samples are planned in EIM, it is a few simple clicks of the mouse to generate COCs, work lists, and bottle labels for the field crew.  This saves time for the field and office staff, and helps ensure they collect the needed samples and not miss a collection or a field or laboratory parameter. Moreover, higher levels of accuracy and fewer transcription errors are ensured as sample IDs and requested analyses are printed electronically rather than entered by hand.

        Screenshots of sample planning module with form and environmental reporting output

         

        Its fully integrated with Locus Mobile  – you can send your Sample Plan to field staff to ensure they collect the samples needed

        For customer’s considering using Locus Mobile to streamline their field data collection, Sample Planning is a natural fit.  All the samples planned in the Sample Planning module can be delivered directly to Locus Mobile for one or more field staff.  You can even have multiple different events sent to the field crew so they can plan ahead in the field.  All the collected data is uploaded to EIM in real-time (if service is available) or later (if not) for review and final checks after the field event is concluded.  Imagine giving your sampling teams the weekly plan and tracking the progress each day as they sync their data.  A handy feature of Locus Mobile, it can remove all the previously collected samples from the plan each day to make your field sampler’s life much simpler.

        Larger drinking water utilities will find the integration of Sample Planning and mobile quite appealing, especially with daily sampling by multiple sampling teams and a large number of required routine samples.

        Locus Mobile

         

        Analytical Results GridAll your required field sample information is already in EIM for your sampling event.

        When lab data comes back from the lab, you no longer need to enter in the field sample information, it will already be in EIM.

        For drinking water utilities, where you may be sampling daily for chlorine at your sample locations, imagine seeing the results across your distribution system instantly, and ability to see it on a map in near real time.  Even better, you can share the results with your operations team with a simple dashboard link.

         

         

        Locus sample planning module with configurable calendars and email notifications

        Always know where you stand on your sampling activities

        By using Sample Planning, you will know exactly what samples have and have not been collected.  You will also know which ones were collected late, and which ones are yet to be collected.  This type of information can help ensure you don’t’ miss required samples, and identify schedule impacts when collection is not going according to plan.

        When missed samples are identified, its easy to add to the next day’s sampling and send that information to field teams using the integrated mobile app.

         

         

        Environmental data management and environmental reporting software- EIM screenshot in labGain ability to track receipt of laboratory results with fine precision

        For customers that need to track laboratory results down to the method and analyte level, Sample Planning will make that tedious task easy.  Therefore, if you ordered an EPA Method 6010C analysis and no result for lead is reported, you will know immediately when the results arrive back from the lab that the deliverable is incomplete.  EIM will also tell you when the lab substituted one method for another. You can then decide whether this change is acceptable or not.  Because most regulations include a long list of required analytes and acceptable methods, this type of detail is invaluable to help ensure that you remain in compliance.

         

         

        Locus EIM - Lab invoice trackingMake review of laboratory invoice easy as pie

        Trying to review laboratory invoices, especially for large sampling events or complex sampling programs, can be a chore.  With EIM’s Sample Planning module, most of the hard work is already done for you.  Once you have all your data back, EIM will tell you:

        • If the quantity invoiced is more than the order
        • If an invoiced line item has been invoiced previously
        • If an invoiced line item total cost and/or unit cost is incorrect