Benefits Of Appropriate Data Management

Here is an instance of recent application commenced by having a review with the Vice President of a company.

Over the initial few days onsite, a review of the present system was carried out. Historical data that was more than 5 years old had been archived, but had at least been grouped into folders, and labeled as waste, effluent, surface water, air and land. Opening these folders unveiled a huge number of spreadsheets and databases, which were effectively building up dust. While there was lost value in this data from the viewpoint of historical practices and so on, that was not the main problem for the Vice President.

Different types of current data were still being accumulated. They are waste production, groundwater, dust and other quality variables from the emission tracks, surface water, effluent quality, and weather and flow rates. Data was also being accumulated of water use and recycling, fuel use, and waste being recycled and land filled.

Some of this data was collected manually, some resulted from analysis by external labs and some was automatically collected from the data loggers. Due to the growth in data management had happened organically, various and different procedures had evolved in parallel to handle this. These procedures were driven in part by the data source and in part by the mannerisms of the people involved.

The net result was that many people were doing many things but working ineffectively. Regular reporting of data was vulnerable to errors and reports were frequently late. The reporting procedure was matter of cutting and pasting, sometimes for five different spreadsheets, to make a single report.

Remedial measures should be put in position, and repeated in extreme cases of fines, result in prosecution, withdrawal of permits or shutting down an amenity. The data also should be reported externally or internally in varying formats and at regular intervals.
Along with statutory permits, other legislation is in position in various jurisdictions that compel qualifying companies to gather and provide information on the release of pollution. Such legislation is driven by public pressure.

The choice of PLC data acquisition comes down to budget and specification, what do you want to accomplish and how much money is budgeted. These aspects work in tandem, and a company might accomplish a satisfactory outcome from the investment, though obviously they can spend more for a major corporate system.

Does the Data Logger Automation software have any relevant accreditation?

The volume of environmental data across companies is rapidly growing, with several companies spending hundreds of thousands every year. It is vital that the Data Logger Automation software applied is capable of capturing value from the data. The use of specialized software tools has the potential to allow companies to lessen cost, enhance environmental performance, strengthen relationships with stake holders and lessen hazard. There are necessities and then completely engage with suppliers early in the process of software procurement.