Verification system for environmental measurement

Abstract

The invention relates to the technical field of environment monitoring, and discloses an environment measurement verification system, which comprises a data acquisition module, a data analysis module and a data control module, and is characterized in that a data set acquired by the data acquisition module is calculated in the data analysis module; the calculation results are an air monitoring equipment optimization index, a water quality monitoring equipment optimization index, a soil monitoring equipment optimization index, a noise monitoring equipment optimization index and a sensor optimization index; the data control module is used for controlling the data according to the air monitoring equipment optimization index, the water quality monitoring equipment optimization index, the soil monitoring equipment optimization index, the noise monitoring equipment optimization index and the sensor optimization index range; maintenance frequency adjustment, equipment state parameter optimization and regular calibration are respectively carried out on corresponding monitoring equipment in the air quality unit, the water quality unit, the soil unit and the noise unit.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of environmental monitoring, specifically a calibration system for environmental measurement. BACKGROUND

[0002] In the current context of environmental governance, the calibration system for environmental measurement is particularly important. Environmental technology verification (ETV) evaluation, as an important part of the environmental technology management system, provides an important reference for domestic environmental technology verification and evaluation by systematically analyzing the sources, development history, and development situation of ETV at home and abroad. The completed ETV evaluation application cases in the medical waste field in China show that this field has a relatively mature technical foundation and practical experience, which has a positive effect on promoting the development of environmental measurement calibration technology. However, the poor dynamic measurement capability in existing technologies limits the accuracy and efficiency of environmental monitoring. This requires us not only to focus on the continuous progress and application of technology, but also to overcome the existing technical defects to better meet the needs of environmental protection and management. SUMMARY

[0003] (I) Technical problems solved In view of the shortcomings of the prior art, the present application provides a calibration system for environmental measurement, which has the advantage of strong dynamic measurement capability, solving the problem of poor dynamic measurement capability in the prior art.

[0004] (II) Technical solutions To achieve the above-mentioned purpose, the present application provides the following technical solutions: a calibration system for environmental measurement, comprising a data acquisition module, a data analysis module and a data control module; The data acquisition module comprises an air quality unit, a water quality unit, a soil unit and a noise unit, the air quality unit acquires air quality data through network connection with an air quality monitor, numbers the data, and connects with the data analysis module through network, the water quality unit acquires water quality analysis data through network connection with a water quality analysis instrument, numbers the data, and connects with the data analysis module through network, the soil unit acquires soil monitoring data through network connection with a soil monitoring device, numbers the data, and connects with the data analysis module through network, and the noise unit acquires noise measurement data through network connection with a noise measuring instrument, numbers the data, and connects with the data analysis module through network; The data analysis module comprises a monitoring device optimization unit and a sensor optimization unit, the monitoring device optimization unit calculates an air monitoring device optimization index , a water quality monitoring device optimization index , and a soil monitoring device optimization index And noise monitoring device optimization index , the sensor optimization unit calculates the sensor optimization index according to the air monitoring device optimization index , the water quality monitoring device optimization index , the soil monitoring device optimization index And noise monitoring device optimization index , , the data analysis module and the data control module are connected through a network.

[0005] Preferably, the air quality unit numbers the flue gas emission amount of pollution sources, process dust emission amount and toxic and harmful gas emission amount monitored online by the air monitoring device according to the air quality data characteristics, and the flue gas emission amount of pollution sources, process dust emission amount and toxic and harmful gas emission amount monitored online by the air monitoring device are numbered as 、 、 , the water quality unit numbers the chemical oxygen demand, biochemical oxygen demand, heavy metal detection amount and organic pollutant detection amount monitored online by the water quality monitoring device according to the water quality analysis data characteristics, and the chemical oxygen demand, biochemical oxygen demand, heavy metal detection amount and organic pollutant detection amount monitored online by the water quality monitoring device are numbered as 、 、 、 .

[0006] Preferably, the monitoring device optimization unit calculates the air monitoring device optimization index according to the air quality data, and the calculation formula is: In the formula, represents the air monitoring device optimization index, 、 、 respectively represent the flue gas emission amount of pollution sources, process dust emission amount and toxic and harmful gas emission amount monitored online by the air monitoring device, 、 、 respectively represent the flue gas emission amount of pollution sources, process dust emission amount and toxic and harmful gas emission amount actually detected by the laboratory, 、 、 respectively represent the flue gas emission amount of pollution sources, process dust emission amount and toxic and harmful gas emission amount, and the weight of the detection item in the air monitoring device and the laboratory actual detection.

[0007] Preferably, the monitoring device optimization unit calculates the water quality monitoring device optimization index , wherein the formula is: In the formula, represents the water quality monitoring equipment optimization index, , , , , respectively, represent the chemical oxygen demand, biochemical oxygen demand, heavy metal detection amount and organic pollutant detection amount monitored online by the water quality monitoring equipment, , , , , respectively, represent the chemical oxygen demand, biochemical oxygen demand, heavy metal detection amount and organic pollutant detection amount actually detected in the laboratory, , , , , respectively, represent the chemical oxygen demand, biochemical oxygen demand, heavy metal detection amount and organic pollutant detection amount, and the weight of the detection item in the water quality monitoring equipment and the actual detection in the laboratory.

[0008] Preferably, the soil monitoring data characteristic is used to number the heavy metal content, petroleum hydrocarbon content, organic pollutant content and inorganic pollutant content monitored online by the soil monitoring equipment, and the heavy metal content, petroleum hydrocarbon content, organic pollutant content and inorganic pollutant content monitored online by the soil monitoring equipment are numbered as , , , , the noise measurement data characteristic is used to number the noise source positioning point monitored online by the noise monitoring equipment, and the noise source positioning point monitored online by the noise monitoring equipment is numbered as .

[0009] Preferably, the monitoring equipment optimization unit calculates the soil monitoring equipment optimization index , wherein the formula is: In the formula, represents the soil monitoring equipment optimization index, , , , , respectively, represent the heavy metal content, petroleum hydrocarbon content, organic pollutant content and inorganic pollutant content monitored online by the soil monitoring equipment, , , , , respectively, represent the heavy metal content, petroleum hydrocarbon content, organic pollutant content and inorganic pollutant content monitored online by the soil monitoring equipment actually detected in the laboratory, 、 、 、 respectively represent the weight of heavy metal content, petroleum hydrocarbon content, organic pollutant content and inorganic pollutant content in the soil monitoring equipment and actual detection in the laboratory.

[0010] Preferably, the monitoring equipment optimization unit calculates the noise monitoring equipment optimization index according to the noise measurement data, and the calculation formula is: In the formula, represents the noise monitoring equipment optimization index, represents the noise source positioning point monitored online by the noise monitoring equipment, represents the noise source positioning point surveyed by the actual survey personnel.

[0011] Preferably, the sensor optimization unit calculates the sensor optimization index according to the air monitoring equipment optimization index , the water quality monitoring equipment optimization index , the soil monitoring equipment optimization index and the noise monitoring equipment optimization index , and the calculation formula is: represents the sensor optimization index, represents the air monitoring equipment optimization index, represents the water quality monitoring equipment optimization index, represents the soil monitoring equipment optimization index, represents the noise monitoring equipment optimization index, 、 、 、 respectively represent the weight of the air monitoring equipment, the water quality monitoring equipment, the soil monitoring equipment and the noise monitoring equipment in the sensor.

[0012] Preferably, the data control module adjusts the maintenance frequency and optimizes the equipment state parameters of the corresponding monitoring equipment in the air quality unit, the water quality unit, the soil unit and the noise unit according to the air monitoring equipment optimization index , the water quality monitoring equipment optimization index , the soil monitoring equipment optimization index and the noise monitoring equipment optimization index .

[0013] Preferably, the data control module adjusts the maintenance frequency and optimizes the equipment state parameters of the corresponding monitoring equipment in the air quality unit, the water quality unit, the soil unit and the noise unit according to the sensor optimization index The corresponding sensors in the air quality unit, the water quality unit, the soil unit and the noise unit are calibrated periodically.

[0014] Compared with the prior art, the present application provides a verification system for environmental measurement, which has the following beneficial effects: 1、The present application calculates the air monitoring equipment optimization index , compares the online monitoring data with the laboratory detection data in the calculation formula, and then according to the calculated deviation value, the monitoring equipment optimization unit can identify the systematic error and random error of the air monitoring equipment, so as to determine the number of calibrations, and the calibration instruction is issued by the data control module to ensure the accuracy of the monitoring data, thereby solving the problem of poor dynamic determination ability in the prior art.

[0015] 2、The present application calculates the noise monitoring equipment optimization index , compares the online monitoring data of the noise monitoring equipment with the noise source positioning point surveyed by the actual survey personnel, and the monitoring equipment optimization unit can evaluate the real-time accuracy of the monitoring equipment, which helps to ensure that the noise source is correctly identified and positioned, thereby providing a reliable noise parameter adjustment basis for the management control module.

[0016] 3、The present application calculates the sensor optimization index , the sensor optimization unit comprehensively evaluates the real-time state of the air, water quality, soil and noise monitoring equipment, which helps the data control module to allocate monitoring equipment resources, and at the same time, the equipment that has a great influence on the sensor optimization index is improved in priority, thereby improving the resource utilization efficiency of the monitoring equipment and the sensor. BRIEF DESCRIPTION OF DRAWINGS

[0017] Figure 1 is a structural schematic view of the present application; DETAILED DESCRIPTION The technical solutions in the embodiments of the present application will be described clearly and completely below with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0018] Please refer to Figure 1 , a verification system for environmental measurement, comprising a data acquisition module, a data analysis module and a data control module; The data acquisition module comprises an air quality unit, a water quality unit, a soil unit and a noise unit. The air quality unit acquires air quality data by connecting an air quality monitor via a network, and after numbering, connects with the data analysis module via a network. The water quality unit acquires water quality analysis data by connecting a water quality analysis instrument via a network, and after numbering, connects with the data analysis module via a network. The soil unit acquires soil monitoring data by connecting a soil monitoring device via a network, and after numbering, connects with the data analysis module via a network. The noise unit acquires noise measurement data by connecting a noise measuring instrument via a network, and after numbering, connects with the data analysis module via a network.

[0019] The air quality unit numbers the pollution source flue gas emission, process dust emission and toxic and harmful gas emission monitored by the air monitoring device online according to the air quality data characteristics. The pollution source flue gas emission, process dust emission and toxic and harmful gas emission monitored by the air monitoring device online are numbered as , , The water quality unit numbers the chemical oxygen demand, biochemical oxygen demand, heavy metal detection amount and organic pollutant detection amount monitored by the water quality monitoring device online according to the water quality analysis data characteristics. The chemical oxygen demand, biochemical oxygen demand, heavy metal detection amount and organic pollutant detection amount monitored by the water quality monitoring device online are numbered as , , , .

[0020] The monitoring device optimization unit calculates the air monitoring device optimization index according to the air quality data, and the calculation formula is: In the formula, represents the air monitoring device optimization index, , , respectively represent the pollution source flue gas emission, process dust emission and toxic and harmful gas emission monitored by the air monitoring device online, , , respectively represent the pollution source flue gas emission, process dust emission and toxic and harmful gas emission actually detected by the laboratory, , , respectively represent the pollution source flue gas emission, process dust emission and toxic and harmful gas emission, and the weight of the detection item in the air monitoring device and the laboratory actual detection.

[0021] The advantage is that the air monitoring device optimization index And compare the online monitoring data with the laboratory detection data in the calculation formula, and according to the calculated deviation value, the monitoring equipment optimization unit can identify the systematic error and random error of the air monitoring equipment, so as to determine the number of calibration, and the calibration instruction is issued by the data control module, so as to ensure the accuracy of the monitoring data, thereby solving the problem of poor dynamic determination ability in the prior art.

[0022] The monitoring equipment optimization unit calculates the water quality monitoring equipment optimization index according to the water quality analysis data , and the calculation formula is: In the formula, represents the water quality monitoring equipment optimization index, , , , respectively represent the chemical oxygen demand, biochemical oxygen demand, heavy metal detection amount and organic pollutant detection amount monitored by the water quality monitoring equipment online, , , , respectively represent the chemical oxygen demand, biochemical oxygen demand, heavy metal detection amount and organic pollutant detection amount actually detected by the laboratory, , , , respectively represent the chemical oxygen demand, biochemical oxygen demand, heavy metal detection amount and organic pollutant detection amount, and the weight of the detection item in the water quality monitoring equipment and the actual detection of the laboratory.

[0023] The advantage is that the water quality monitoring equipment optimization index is calculated, the online monitoring data is compared with the laboratory detection data, and the importance of the chemical oxygen demand, biochemical oxygen demand, heavy metal detection amount and organic pollutant detection amount monitored by the water quality monitoring equipment online in the water quality monitoring equipment is added to the calculation, which can evaluate the water quality and help the control module to issue instructions to correct the systematic error of the water quality monitoring equipment.

[0024] The soil unit numbers the heavy metal content, petroleum hydrocarbon content, organic pollutant content and inorganic pollutant content monitored by the soil monitoring equipment online according to the characteristics of the soil monitoring data, and the heavy metal content, petroleum hydrocarbon content, organic pollutant content and inorganic pollutant content monitored by the soil monitoring equipment online are numbered as , , , The noise unit numbers the noise source positioning point monitored by the noise monitoring equipment online according to the characteristics of the noise measurement data, and the noise source positioning point monitored by the noise monitoring equipment online is numbered as .

[0025] The monitoring device optimization unit calculates a soil monitoring device optimization index according to the soil monitoring data , and the calculation formula is: In the formula, represents the soil monitoring device optimization index, , , , , respectively, represent the heavy metal content, the petroleum hydrocarbon content, the organic pollutant content, and the inorganic pollutant content monitored online by the soil monitoring device, , , , , respectively, represent the heavy metal content, the petroleum hydrocarbon content, the organic pollutant content, and the inorganic pollutant content monitored online by the soil monitoring device actually detected in the laboratory, , , , , respectively, represent the heavy metal content, the petroleum hydrocarbon content, the organic pollutant content, and the inorganic pollutant content, and the weight of the detection item in the soil monitoring device and the actual detection in the laboratory.

[0026] The advantage is that the soil monitoring device optimization index is calculated , which helps the monitoring device optimization unit to find the performance decline or failure of the monitoring device in time, so as to transmit to the control module and issue an instruction for maintenance or replacement, so as to ensure the stable operation of the monitoring system.

[0027] The monitoring device optimization unit calculates a noise monitoring device optimization index according to the noise measurement data , and the calculation formula is: In the formula, represents the noise monitoring device optimization index, represents the noise source positioning point monitored online by the noise monitoring device, represents the noise source positioning point actually surveyed by the actual survey personnel.

[0028] The advantage is that the noise monitoring device optimization index is calculated , the online monitoring data of the noise monitoring device is compared with the noise source positioning point actually surveyed by the actual survey personnel, the monitoring device optimization unit can evaluate the real-time accuracy of the monitoring device, which helps to ensure that the noise source is correctly identified and positioned, so as to provide a reliable noise parameter adjustment basis for the management control module.

[0029] The sensor optimization unit calculates an air monitoring device optimization index according to the air monitoring data , water quality monitoring device optimization index , soil monitoring device optimization index , and noise monitoring device optimization index Calculate the sensor optimization index , the formula is: The sensor optimization index is represented by The air monitoring device optimization index is represented by The water quality monitoring device optimization index is represented by The soil monitoring device optimization index is represented by The noise monitoring device optimization index is represented by , , , The air monitoring device, water quality monitoring device, soil monitoring device, and noise monitoring device are respectively represented by

[0030] The advantage is that by calculating the sensor optimization index The sensor optimization unit comprehensively evaluates the real-time state of the air, water quality, soil, and noise monitoring devices, which helps the data control module to allocate monitoring device resources, and at the same time, it prioritizes improving the devices that have a large impact on the sensor optimization index, thereby improving the resource utilization efficiency of the monitoring devices and sensors.

[0031] The data control module adjusts the maintenance frequency and optimizes the device state parameters of the corresponding monitoring devices in the air quality unit, water quality unit, soil unit, and noise unit according to the air monitoring device optimization index , water quality monitoring device optimization index , soil monitoring device optimization index , and noise monitoring device optimization index .

[0032] When the air monitoring device optimization index , water quality monitoring device optimization index , soil monitoring device optimization index , and noise monitoring device optimization index are all less than 0.5, the maintenance frequency is adjusted to once every 10 days, and the device state is adjusted to a low-power mode, thereby prolonging the service life of the monitoring devices.

[0033] The data control module periodically calibrates the corresponding sensors in the air quality unit, water quality unit, soil unit, and noise unit according to the sensor optimization index range.

[0034] When the sensor optimization index Between 0.8 and 0.9, the calibration period of 6 months is changed to a regular calibration of 3 months to ensure the validity of the data monitoring.

[0035] While embodiments of the application have been shown and described, it is to be understood that the application is not limited to the details of the embodiments described, since modifications can be made by those skilled in the art, without departing from the spirit and scope of the application, which are defined by the appended claims and their equivalents.

Claims

1. A calibration system for environmental measurement, characterized in that: It includes data acquisition module, data analysis module and data control module; The data acquisition module includes an air quality unit, a water quality unit, a soil unit and a noise unit. The air quality unit is connected to an air quality monitor via a network to obtain air quality data, and after numbering, is connected to a data analysis module via a network. The water quality unit is connected to a water quality analyzer via a network to obtain water quality analysis data, and after numbering, is connected to a data analysis module via a network. The soil unit is connected to a soil monitoring device via a network to obtain soil monitoring data, and after numbering, is connected to a data analysis module via a network. The noise unit is connected to a noise measuring instrument via a network to obtain noise measurement data and number it. The data acquisition module is connected to a data analysis module via a network. The data analysis module includes a monitoring equipment optimization unit and a sensor optimization unit. The monitoring equipment optimization unit calculates the air monitoring equipment optimization index according to the air quality data, water quality analysis data, soil monitoring data and noise measurement data. , water quality monitoring equipment optimization index , soil monitoring equipment optimization index and noise monitoring equipment optimization index , the sensor optimization unit optimizes the index of air monitoring equipment according to , water quality monitoring equipment optimization index , soil monitoring equipment optimization index and noise monitoring equipment optimization index Calculating the sensor optimization index , the data analysis module and the data control module are connected through a network.

2. The environmental measurement calibration system according to claim 1, characterized in that: The air quality unit numbers the flue gas emissions, process dust emissions and toxic and harmful gas emissions monitored online by the air monitoring equipment according to the air quality data characteristics. The flue gas emissions, process dust emissions and toxic and harmful gas emissions monitored online by the air monitoring equipment are numbered as follows: 、 、 The water quality unit numbers the chemical oxygen demand, biochemical oxygen demand, heavy metal detection amount and organic pollutant detection amount monitored online by the water quality monitoring equipment according to the characteristics of the water quality analysis data. The chemical oxygen demand, biochemical oxygen demand, heavy metal detection amount and organic pollutant detection amount monitored online by the water quality monitoring equipment are numbered as follows: 、 、 、 .

3. The environmental measurement calibration system according to claim 2, characterized in that: The monitoring equipment optimization unit calculates the air monitoring equipment optimization index based on the air quality data , and its calculation formula is: In the formula, represents the air monitoring equipment optimization index, 、 、 They represent the flue gas emissions, process dust emissions and toxic and harmful gas emissions monitored online by air monitoring equipment. 、 、 They represent the actual emission of flue gas, process dust and toxic and harmful gases detected in the laboratory. 、 、 They respectively represent the flue gas emissions from pollution sources, process dust emissions and toxic and harmful gas emissions, and the weights of the detection items in the actual detection of air monitoring equipment and laboratories.

4. The environmental measurement calibration system according to claim 2, characterized in that: The monitoring equipment optimization unit calculates the water quality monitoring equipment optimization index based on the water quality analysis data , and its calculation formula is: In the formula, Indicates the water quality monitoring equipment optimization index, 、 、 、 They represent the chemical oxygen demand, biochemical oxygen demand, heavy metal detection amount and organic pollutant detection amount monitored online by water quality monitoring equipment respectively. 、 、 、 They represent the chemical oxygen demand, biochemical oxygen demand, heavy metal detection amount and organic pollutant detection amount actually detected in the laboratory. 、 、 、 They respectively represent the chemical oxygen demand, biochemical oxygen demand, heavy metal detection quantity and organic pollutant detection quantity, and the weights of the detection items in water quality monitoring equipment and actual laboratory testing.

5. The environmental measurement calibration system according to claim 1, characterized in that: The soil unit numbers the heavy metal content, petroleum hydrocarbon content, organic pollutant content and inorganic pollutant content monitored online by the soil monitoring equipment according to the characteristics of the soil monitoring data. The heavy metal content, petroleum hydrocarbon content, organic pollutant content and inorganic pollutant content monitored online by the soil monitoring equipment are numbered as follows: 、 、 、 The noise unit numbers the noise source positioning points monitored online by the noise monitoring device according to the noise measurement data characteristics. The noise source positioning points monitored online by the noise monitoring device are numbered as follows: .

6. The environmental measurement calibration system according to claim 5, characterized in that: The monitoring equipment optimization unit calculates the soil monitoring equipment optimization index based on the soil monitoring data , and its calculation formula is: In the formula, represents the soil monitoring equipment optimization index, 、 、 、 They represent the heavy metal content, petroleum hydrocarbon content, organic pollutant content and inorganic pollutant content monitored online by soil monitoring equipment respectively. 、 、 、 They represent the heavy metal content, petroleum hydrocarbon content, organic pollutant content and inorganic pollutant content monitored online by soil monitoring equipment actually tested in the laboratory. 、 、 、 They represent the heavy metal content, petroleum hydrocarbon content, organic pollutant content and inorganic pollutant content respectively, and are the weights of the test items in the actual testing of soil monitoring equipment and laboratories.

7. The environmental measurement calibration system according to claim 5, characterized in that: The monitoring equipment optimization unit calculates the noise monitoring equipment optimization index based on the noise measurement data , and its calculation formula is: In the formula, represents the optimization index of noise monitoring equipment, Indicates the noise source location point monitored online by the noise monitoring equipment. Indicates the location point of the noise source surveyed by the actual surveyors.

8. The environmental measurement calibration system according to claim 7, characterized in that: The sensor optimization unit optimizes the air monitoring equipment according to the index , water quality monitoring equipment optimization index , soil monitoring equipment optimization index and noise monitoring equipment optimization index Calculating the sensor optimization index , and its calculation formula is: represents the sensor optimization index, represents the air monitoring equipment optimization index, Indicates the water quality monitoring equipment optimization index, represents the soil monitoring equipment optimization index, represents the optimization index of noise monitoring equipment, 、 、 、 They represent the weights of air monitoring equipment, water quality monitoring equipment, soil monitoring equipment and noise monitoring equipment in the sensors respectively.

9. The environmental measurement calibration system according to claim 7, characterized in that: The data control module optimizes the index of the air monitoring equipment according to , water quality monitoring equipment optimization index , soil monitoring equipment optimization index and noise monitoring equipment optimization index The maintenance frequency of the corresponding monitoring equipment in the air quality unit, water quality unit, soil unit and noise unit is adjusted and the equipment status parameters are optimized respectively.

10. The environmental measurement calibration system according to claim 8, characterized in that: The data control module optimizes the index of the sensor Range, regularly calibrate the corresponding sensors in the air quality unit, water quality unit, soil unit and noise unit.

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