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Conforming to these 35 situations, it can be determined that online monitoring is suspected of fraud
Time：
2023-05-04
In the process of on-site law enforcement and inspection of the ecological environment, there are 35 situations that can be determined as online monitoring suspected of fraud.
How to determine whether online monitoring is suspected of fraud during on-site law enforcement inspections of the ecological environment is something that everyone is very interested in mastering. Any of the following 35 situations can be considered as suspected fraud in online monitoring:
1. The sampling system of the online wastewater monitoring facility has other bypasses outside the water supply and drainage pipelines.
2. After the online wastewater monitoring facility starts the sampling pump, no water sample enters the pipeline.
3. The sampling pipeline of the wastewater online monitoring facility is damaged or rusted, or the sampling pool is dry (except for intermittent discharge of wastewater).
4. There is no reagent in the reagent bottle of the wastewater online monitoring facility, or the reagent tube is not inserted into the reagent solution, or the reagent used has exceeded its service life.
5. The types and concentrations of reagents actually used in wastewater online monitoring facilities do not match those registered and recorded.
6. There is dilution phenomenon in the backwash pipeline of the online wastewater monitoring facility for collecting water samples.
7. The water sample pre-treatment device of the online wastewater monitoring facility is inconsistent with the acceptance documents, registration records, or the latest effectiveness review, resulting in excessive treatment.
8. The heating sampling probe inside the exhaust gas online monitoring facility and the filter element are contaminated and blocked.
The heating temperature of the sampling probe filter in the exhaust gas online monitoring facility does not meet the requirements of the instrument manual.
10. The visual heating duct of the exhaust gas online monitoring facility has straight or obvious U-shaped pipe sections.
11. There are kinks, entanglements, or fractures in the pipelines of the online exhaust gas monitoring facility.
The temperature of the heat tracing pipe in the online monitoring facility for exhaust gas is too low.
13. The backwash cycle, time, and air compressor gauge pressure of the online exhaust gas monitoring facility do not meet the requirements of the instrument manual.
14. The dilution gas flow rate and sample gas flow rate of the exhaust gas online monitoring facility are unstable.
15. The dilution ratio and flow rate of the online exhaust gas monitoring facility are inconsistent with the registration and filing.
16. The temperature of the gas-water separator condenser in the online monitoring facility for exhaust gas is inconsistent with the registration and filing.
17. The dryer filter element of the exhaust gas online monitoring facility has discolored.
18. The condenser of the waste gas online monitoring facility has no condensed water discharged.
19. No automatic monitoring data for a long time without justifiable reasons.
20. The data fluctuates above and below the detection limit of instrument analysis methods for a long time.
21. The amplitude of data changes fluctuates slightly above or below a fixed value for a long time.
22. The amplitude of data change fluctuates within 2% of the range for a long time.
23. The error between the supervised monitoring values and the automatic monitoring values during the same period exceeds the specified range of comparison monitoring indicators.
24. Data anomalies between analytical instruments, data acquisition instruments, and monitoring centers.
25. The deviation between the analysis instrument data and the data acquisition instrument data is greater than 1%.
26. The deviation between the data of the data acquisition instrument and the data of the monitoring center is greater than 1%.
27. Abnormal correlation between enterprise production conditions, pollution control facility operation, and automatic monitoring data.
28. The production conditions or pollution control facilities of the enterprise have changed, and the automatic monitoring facility data has not responded in a timely manner or the change trend is illogical.
29. The automatic online monitoring facilities are partially shut down or idle without authorization.
30. Changes in the working environment of automatic monitoring facilities have not been registered and recorded.
31. Changes in the hardware and software of automatic monitoring facilities have not been registered and recorded.
32. The range setting of the automatic online monitoring instrument is too large.
33. The actual monitoring conditions have changed, and the instrument parameters have not been adjusted accordingly or the changes have not been registered and recorded.
34. The conversion formula for automatic monitoring data is inconsistent with relevant national technical regulations.
35. The standard curve has changed without registration and filing.
Ecological and environmental law enforcement personnel who discover one of the above 35 types of abnormal situations in the enterprise can determine that the online monitoring of the enterprise is suspected of fraud, list the automatic monitoring facility as a key inspection object, and conduct in-depth investigations.
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