Calibration method of equipment for monitoring ambient air

Abstract

The invention discloses a method for calibrating equipment for monitoring ambient air, which belongs to the field of air detection and comprises the following steps of: selecting a standard station: selecting a representative monitoring station in a region as the standard station; equipment calibration: when the vehicle passes through the standard station, calibrating the vehicle-mounted mobile monitoring equipment passing through the site according to the reference data of the standard monitoring station; and vehicle mutual inspection: monitoring a plurality of vehicle-mounted mobile monitoring devices carrying the same sensor in the same area, comparing monitoring data of different vehicle-mounted devices at the same place, mutually verifying the accuracy of the data, and identifying devices with problems. According to the calibration method of the ambient air monitoring equipment, the accuracy of monitoring data in the operation process of the sensor method monitoring equipment can be judged, the data drift phenomenon or the equipment fault condition in the operation process of the sensor method equipment can be found in time, and the effectiveness of the monitoring data is guaranteed.

Description

Technical Field

[0001] The present invention relates to the technical field of air detection, and in particular to a calibration method for equipment for monitoring ambient air. Background Art

[0002] The vehicle-mounted mobile ambient air monitoring system is an atmospheric pollution monitoring system based on a mobile vehicle platform. It can monitor various pollutants in the air in real time and accurately, providing strong data support for environmental protection and governance. The vehicle-mounted mobile ambient air monitoring system uses the mobility of the vehicle to collect and analyze air samples along the way through the vehicle-mounted monitoring equipment. These monitoring devices usually include particle monitors, gas monitors, etc., which can monitor PM in the air. 2.5 、PM 10 , CO, NO, NO2 and other pollutant concentrations. At the same time, the system is also combined with the vehicle positioning system, which can record the time and space coordinates of the monitoring data and realize the precise positioning of the data.

[0003] The on-board mobile ambient air monitoring system uses micro sensors mounted on motor vehicles to monitor the air quality of the road environment. The sensors are easily affected by the ambient temperature and humidity. Long-term operation of the sensor monitoring equipment will cause data drift. The sensors are affected by cross-interference of pollutants. This is also the pain point in the current development of sensor monitoring technology. Therefore, in order to ensure the accuracy of the monitoring data of the on-board mobile monitoring equipment and promptly detect drift during the operation of the equipment, a calibration method for monitoring ambient air equipment was invented. Summary of the invention

[0004] The purpose of the present invention is to propose a calibration method for monitoring ambient air equipment in order to solve the problems that existing sensors are easily affected by temperature and humidity, data drift may occur in long-term operation of sensor monitoring equipment, and sensors are affected by cross-interference of pollutants.

[0005] In order to achieve the above object, the present invention adopts the following technology: a calibration method for monitoring ambient air equipment, comprising the following steps:

[0006] a. Select standard station: Select representative monitoring stations in the region as standard stations;

[0007] b. Equipment calibration: When a vehicle passes through a standard station, the vehicle-mounted mobile monitoring equipment passing through the location is calibrated using the benchmark data of the standard monitoring station;

[0008] c. Vehicle mutual inspection: Multiple vehicles equipped with on-board mobile monitoring devices composed of the same sensors conduct monitoring in the same area. By comparing the monitoring data of different on-board devices at the same location and time period, the accuracy of the data can be mutually verified and the equipment with problems can be identified.

[0009] As a further description of the above technical solution: in step a, the selected standard station can be an existing environmental monitoring station or a fixed monitoring point that has undergone strict quality control calibration.

[0010] As a further description of the above technical solution: in step b, when the standard station and the vehicle-mounted mobile monitoring device appear in the same time and space range, the big data model is used to compare and analyze the data of the two devices in the same time period, and the vehicle-mounted mobile monitoring device is calibrated with the standard station to ensure the accuracy of the data.

[0011] As a further description of the above technical solution: in step c, the data of multiple vehicle-mounted mobile monitoring devices within the same time and space range are obtained from massive real-time data through a big data model for comparative analysis.

[0012] As a further description of the above technical solution: in step c, ensure that different vehicle-mounted devices are monitored within the same time and space range to facilitate data comparison.

[0013] As a further description of the above technical solution: in step c, when different vehicle-mounted devices perform monitoring within the same space-time range, the space-time range is no more than 5 minutes or 15 minutes, and the space is the same road section or a small grid of 100m*100m.

[0014] As a further description of the above technical solution: in step b and step c, a calibration report is generated after each calibration, recording in detail the time, location and equipment information of the calibration.

[0015] In summary, due to the adoption of the above technical solution, the beneficial effects of the present invention are:

[0016] Mutual calibration between standard monitoring stations and vehicle-mounted mobile monitoring equipment is helpful in determining the accuracy of monitoring data of sensor-based vehicle-mounted mobile monitoring equipment during operation, timely discovering data drift or equipment failure during operation of sensor-based vehicle-mounted mobile monitoring equipment, and promptly recalling faulty equipment for recalibration or repair to ensure the validity of monitoring data. It also provides strong data support for the correlation between vehicle-mounted mobile monitoring and fixed-point monitoring data, improves the measurement reliability of the entire monitoring system, and provides technical support for the integrated application of big data. BRIEF DESCRIPTION OF THE DRAWINGS

[0017] Figure 1 An overall flow chart provided according to an embodiment of the present invention is shown;

[0018] Figure 2 A flowchart of step b provided according to an embodiment of the present invention is shown;

[0019] Figure 3A flow chart of step c provided according to an embodiment of the present invention is shown. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] Reference Figure 1-Figure 3 , this embodiment provides a calibration method for an ambient air monitoring device, comprising the following steps:

[0022] a. Select standard station: Select representative monitoring stations in the region as standard stations;

[0023] b. Equipment calibration: When a vehicle passes through a standard station, the vehicle-mounted mobile monitoring equipment passing through the location is calibrated using the benchmark data of the standard monitoring station;

[0024] c. Vehicle mutual inspection: Multiple vehicles equipped with on-board mobile monitoring devices composed of the same sensors conduct monitoring in the same area. By comparing the monitoring data of different on-board devices at the same location and time period, the accuracy of the data can be mutually verified and the equipment with problems can be identified.

[0025] Specifically, in step a, the standard station selected can be an existing environmental monitoring station or a fixed monitoring point that has undergone strict quality control calibration. The existing environmental monitoring station or the fixed monitoring point that has undergone strict quality control calibration usually has long-term, continuous and stable monitoring data, which can be used as a calibration benchmark. The monitoring equipment at these stations or points has been professionally calibrated and maintained to ensure the accuracy and reliability of the data. At the same time, selecting these stations or points as standard stations can minimize calibration errors caused by equipment errors, environmental interference and other factors, thereby helping to improve the calibration accuracy and reliability of vehicle-mounted mobile environmental monitoring equipment. In addition, existing environmental monitoring stations or fixed monitoring points do not require additional construction or investment and can be directly used for the calibration of vehicle-mounted mobile environmental monitoring equipment, which avoids duplication of construction and waste of resources and reduces calibration costs.

[0026] Specifically, in step b, when the standard station and the vehicle-mounted mobile monitoring device appear in the same time and space range, the big data model is used to compare and analyze the data of the two devices in the same time period, and the vehicle-mounted mobile monitoring device is calibrated with the standard station to ensure the accuracy of the data.

[0027] Specifically, in step c, the data of multiple vehicle-mounted mobile monitoring devices in the same time and space range are obtained from massive real-time data through a big data model for comparative analysis, ensuring that different vehicle-mounted mobile monitoring devices perform monitoring in the same time and space range for data comparison. When different vehicle-mounted devices perform monitoring in the same time and space range, the time of the time and space range is no more than 5 minutes or 15 minutes, and the space is the same road section or a small grid of 100m*100m. The vehicle-mounted mobile air monitoring device is started to perform real-time monitoring and data collection. The monitoring data collected by different vehicle-mounted devices in the same time period are synchronously processed to ensure that they have the same timestamp and monitoring point positioning information. The monitoring data of different vehicle-mounted devices are compared and analyzed, and the consistency and difference between them are evaluated. According to the results of the data comparison, the accuracy and reliability of the monitoring data of different vehicle-mounted devices are analyzed, the air quality status of the monitoring area is evaluated, and potential pollution sources and pollution trends are identified.

[0028] It should be noted that in step b and step c, a calibration report is generated after each calibration, recording in detail the time, location and equipment information of the calibration. By comparing the calibration data at different time points, it is possible to evaluate whether the stability and accuracy of the equipment changes over time, so that timely measures can be taken for adjustment or maintenance.

[0029] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A calibration method for monitoring ambient air equipment, characterized in that: The following steps are involved: a. Select standard station: Select representative monitoring stations in the region as standard stations; b. Equipment calibration: When a vehicle passes through a standard station, the vehicle-mounted mobile monitoring equipment passing through the location is calibrated using the benchmark data of the standard monitoring station; c. Vehicle mutual inspection: Multiple vehicles equipped with the same sensors to form on-board mobile monitoring equipment conduct monitoring in the same area. By comparing the monitoring data of different on-board equipment at the same location and time period, the accuracy of the data can be mutually verified and the equipment with problems can be identified.

2. A calibration method for monitoring ambient air equipment according to claim 1, characterized in that: In step a, the selected standard station can be an existing environmental monitoring station or a fixed monitoring point that has undergone strict quality control and calibration.

3. A calibration method for monitoring ambient air equipment according to claim 1, characterized in that: In step b, when the standard station and the vehicle-mounted mobile monitoring device appear in the same time and space range, the big data model is used to compare and analyze the data of the two devices in the same time period, and the vehicle-mounted mobile monitoring device is calibrated with the standard station to ensure the accuracy of the data.

4. A calibration method for monitoring ambient air equipment according to claim 1, characterized in that: In step c, the data of multiple vehicle-mounted mobile monitoring devices within the same time and space range are obtained from massive real-time data through a big data model for comparative analysis.

5. A calibration method for monitoring ambient air equipment according to claim 4, characterized in that: In step c, ensure that different vehicle-mounted devices perform monitoring in the same time and space range to facilitate data comparison.

6. A calibration method for monitoring ambient air equipment according to claim 5, characterized in that: In step c, when different vehicle-mounted devices perform monitoring in the same space-time range, the space-time range is no more than 5 minutes or 15 minutes, and the space is the same road section or a small grid of 100m*100m.

7. A calibration method for monitoring ambient air equipment according to claim 1, characterized in that: In step b and step c, a calibration report is generated after each calibration, recording in detail the time, location and equipment information of the calibration.

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