Zero-point inspection abnormal judgment method, system and device before and after handover of operation and maintenance unit

Abstract

The present invention belongs to the technical field of atmospheric environment monitoring quality control, and relates to a method, system and device for judging abnormal zero-point inspection before and after the handover of operation and maintenance units. The method includes: 1) determining the handover time of operation and maintenance units for each environmental monitoring site; 2) obtaining zero-point inspection data for a period of time before and after the handover of operation and maintenance units for each environmental monitoring site; 3) preprocessing the zero-point inspection data; 4) performing a t-test on the preprocessed zero-point inspection data to determine whether there are significant differences in the zero-point inspection data; 5) for environmental monitoring sites with significant differences, determining positive and negative deviations for the zero-point inspection results within a period of time after the handover of operation and maintenance units; 6) based on the positive and negative deviation determination results of multiple environmental monitoring sites belonging to the same operation and maintenance unit, judging whether the operation and maintenance unit has interfered with the zero-point inspection data. It effectively fills the gap in the prior art that there is no abnormal detection and analysis of zero-point inspection before and after the handover of operation and maintenance units.

Description

Technical Field

[0001] The present invention belongs to the technical field of air environment monitoring quality control, and relates to a method for judging abnormal zero-point inspection before and after the handover of operation and maintenance units. Specifically, it relates to a method for judging abnormal zero-point inspection of gaseous pollutants based on the two-independent-sample t-test, which is used to detect potential abnormal situations caused by the handover of operation and maintenance units in the zero-point inspection results. Background Art

[0002] Air environment monitoring continuously observes, measures, and analyzes various pollutants in the atmosphere through various monitoring devices, providing a scientific basis for evaluating air quality status, identifying pollution sources, predicting air pollution trends, and formulating and implementing environmental protection measures. The monitoring devices for continuous monitoring need to be strictly quality-controlled to ensure the accuracy and reliability of the monitoring data obtained by the monitoring devices. The monitoring devices for gaseous pollutants (NO2, SO2, CO, and O3) need to be calibrated and corrected for abnormal situations through zero-point inspection and span inspection.

[0003] Zero-point inspection is a method used to check the zero-point deviation of monitoring devices caused by long-term use or human interference, so as to improve the accuracy of measurement results. The process usually involves introducing the zero gas generated by a zero gas generator into the monitoring device, and recording the current reading of the monitoring device in real time as the zero-point deviation, and comparing whether the deviation is within the tolerance range to determine whether to perform maintenance on the monitoring device. Currently, the gaseous pollutant monitoring devices of the national-controlled automatic air quality monitoring stations (collectively referred to as environmental monitoring stations in the present invention) are generally inspected for zero points once a week.

[0004] The monitoring devices of environmental monitoring stations need to be operated and maintained by a third-party operation and maintenance unit, and the operation and maintenance unit needs to be replaced every three years. After the handover, due to the differences in objective operation and maintenance conditions of different operation and maintenance units or subjective intentions driven by interests, the monitoring results of the monitoring devices operated and maintained by the operation and maintenance unit may change, which will have an adverse impact on the accuracy of the monitoring results. How to judge whether the monitoring values of the monitoring devices have changed is a very troublesome problem.

[0005] The traditional method for judging whether the zero-point inspection value of a monitoring device is abnormal is to use whether the absolute value of a single zero-point inspection value is less than 10 ppb (for NO2, SO2, O3) or 2 ppm (for CO) as the standard for whether a single zero-point inspection is qualified. This method will miss the situation where the mean value of the zero-point inspection distribution significantly deviates but does not exceed the qualified range due to subjective or objective factors before and after the handover of the operation and maintenance unit.

[0006] Therefore, there is an urgent need for a detection method for whether the zero-point inspection results are abnormal before and after the handover of the operation and maintenance unit to ensure the reliability of the monitoring data after the handover of the operation and maintenance unit. Summary of the Invention

[0007] To overcome the defects of the prior art, the present invention proposes a method, system and device for judging abnormal zero-point inspection before and after the handover of operation and maintenance units, effectively filling the problem that there is no abnormal detection and analysis of zero-point inspection before and after the handover of operation and maintenance units in the prior art.

[0008] To achieve the above object, the present invention provides the following technical solutions:

[0009] A method for judging abnormal zero-point inspection before and after the handover of operation and maintenance units, characterized by comprising the following steps:

[0010] 1) Determine the handover time of the operation and maintenance units for each environmental monitoring site;

[0011] 2) Obtain the zero-point inspection data within a period of time before and after the handover of the operation and maintenance units for each environmental monitoring site;

[0012] 3) Preprocess the zero-point inspection data within a period of time before and after the handover of the operation and maintenance units;

[0013] 4) Perform a t-test on the preprocessed zero-point inspection data within a period of time before and after the handover of the operation and maintenance units to determine whether there are significant differences in the zero-point inspection data within a period of time before and after the handover of the operation and maintenance units;

[0014] 5) For the environmental monitoring sites with significant differences, determine the positive and negative deviations of the zero-point inspection results within a period of time after the handover of the operation and maintenance units;

[0015] 6) Based on the positive and negative deviation judgment results of multiple environmental monitoring sites belonging to the same operation and maintenance unit, judge whether the operation and maintenance unit has interfered with the zero-point inspection data.

[0016] Preferably, step 4) is specifically:

[0017] The test statistic T constructed during the t-test is:

[0018]

[0019] In the formula, It is the mean value of the zero-point inspection data within a period of time before the handover; It is the mean value of the zero-point inspection data within a period of time after the handover; It is the variance of the zero-point inspection data within a period of time before the handover; It is the variance of the zero-point inspection data within a period of time after the handover; x i is the value of the i-th zero-point inspection data within a period of time before the handover; n is the number of zero-point inspection data within a period of time before the handover; y iis the value of the zero - point inspection data of the i - th zero - point inspection within a period of time after the handover; m is the number of zero - point inspection data within a period of time after the handover;

[0020] The test statistic T follows a t - distribution with degrees of freedom n + m−2. Thus, the p - value calculated based on the t.dist.2t function is: p = t.dist.2t(|T|, n + m−2). If p < 0.05, it is considered that there are significant differences in the zero - point inspection data of the operation and maintenance unit before and after a period of time.

[0021] Preferably, step 5) is specifically: for the environmental monitoring stations with significant differences, judge the absolute value of the mean of the zero - point inspection data within a period of time before the handover of their operation and maintenance units whether it is greater than the absolute value of the mean of the zero - point inspection data within a period of time after the handover of the operation and maintenance units If then it is considered that after the handover of the operation and maintenance unit, the zero - point inspection result is more accurate; if and then it is considered that after the handover of the operation and maintenance unit, the zero - point inspection result has a positive deviation; if and then it is considered that after the handover of the operation and maintenance unit, the zero - point inspection result has a negative deviation.

[0022] Preferably, step 6) is specifically: for multiple environmental monitoring stations belonging to the same operation and maintenance unit, if there are positive deviations or negative deviations at the same time, it is determined that the operation and maintenance unit has interfered with the zero - point inspection data.

[0023] Preferably, the period of time before and after the handover of the operation and maintenance unit in step 2) refers to at least half a year before and after the handover of the operation and maintenance unit.

[0024] Preferably, the zero - point inspection data obtained in step 2) includes the zero - point inspection values of SO2, NO2, CO, and O3.

[0025] Preferably, the pre - processing in step 3) includes: deleting the missing data, as well as the data with significantly abnormal values and duplicate data in the zero - point inspection data.

[0026] In addition, the present invention also provides a system for judging zero - point inspection anomalies before and after the handover of an operation and maintenance unit, which is characterized by including:

[0027] A handover time determination module, which is used to determine the handover time of the operation and maintenance unit of each environmental monitoring station;

[0028] A zero - point inspection data acquisition module, which is used to acquire the zero - point inspection data of each environmental monitoring station within a period of time before and after the handover of the operation and maintenance unit;

[0029] A preprocessing module for preprocessing the zero - point inspection data within a period of time before and after the handover of the operation and maintenance unit;

[0030] A t - test module for performing a t - test on the preprocessed zero - point inspection data within a period of time before and after the handover of the operation and maintenance unit to determine whether there are significant differences in the zero - point inspection data within a period of time before and after the handover of the operation and maintenance unit;

[0031] A positive - negative deviation determination module, for environmental monitoring stations with significant differences, is used to determine the positive - negative deviation of the zero - point inspection results within a period of time after the handover of the operation and maintenance unit;

[0032] A multi - station inspection result verification module for judging whether the operation and maintenance unit has interfered with the zero - point inspection data based on the positive - negative deviation determination results of multiple environmental monitoring stations belonging to the same operation and maintenance unit.

[0033] Moreover, the present invention also provides a zero - point inspection anomaly judgment device before and after the handover of the operation and maintenance unit, characterized by including:

[0034] One or more processors;

[0035] A memory for storing one or more programs;

[0036] When the one or more programs are executed by the one or more processors, the one or more processors implement the zero - point inspection anomaly judgment method before and after the handover of the operation and maintenance unit as described above.

[0037] Finally, the present invention also provides a computer - readable storage medium, on which a computer program is stored, characterized in that when the program is executed by a processor, the steps of the zero - point inspection anomaly judgment method before and after the handover of the operation and maintenance unit as described above are implemented.

[0038] Compared with the prior art, the zero - point inspection anomaly judgment method, system and device before and after the handover of the operation and maintenance unit of the present invention have one or more of the following beneficial technical effects:

[0039] 1. The present invention combines the two - independent - sample t - test and the positive - negative deviation determination criterion, and proposes an efficient and accurate zero - point inspection anomaly judgment method before and after the handover of the operation and maintenance unit, effectively filling the gap in the prior art that there is no zero - point inspection anomaly detection and analysis before and after the handover of the operation and maintenance unit.

[0040] 2. The present invention regards the zero - point inspection data before and after the handover of the operation and maintenance unit as samples from two independent distributions, and uses the t - test to determine whether the distribution means of the two samples are the same, so as to determine whether there is an abnormal deviation in the zero - point inspection results before and after the handover of the operation and maintenance unit. Compared with the method of individually judging whether each single zero - point inspection exceeds the reasonable range, the present invention considers more sample points and can effectively analyze the distribution differences before and after the handover of the operation and maintenance unit.

[0041] 3. For the sites where the zero - point inspection results based on the t - test are significantly abnormal, the present invention can make further judgments to determine whether the site belongs to the types of precision improvement, positive deviation, or negative deviation. Thus, further classification analysis can be carried out on abnormal sites, which is conducive to taking different measures for sites belonging to different categories and achieving the goal of precise governance and improvement of data quality. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 is a flowchart of the method for judging zero - point inspection anomalies before and after the handover of the operation and maintenance unit of the present invention.

[0043] Figure 2 is a schematic diagram of the composition of the system for judging zero - point inspection anomalies before and after the handover of the operation and maintenance unit of the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0044] Before detailing any embodiment of the present invention, it should be understood that in its application, the present invention is not limited to the construction and arrangement details of the components described in the following description or illustrated in the following drawings. The present invention can have other embodiments and can be practiced or carried out in various ways. Additionally, it should be understood that the wording and terms used herein are for the purpose of description and should not be considered restrictive. As used herein, the terms "including" or "having" and their variants are intended to cover the listed items and their equivalents as well as additional items. Unless otherwise specified or limited, the terms "installed", "connected", "supported", and "coupled" and their variants are used broadly and cover direct installation and indirect installation, connection, support, and coupling. Further, "connected" and "coupled" are not limited to physical or mechanical connection or coupling.

[0045] Also, in the disclosure of the present invention, the term "a" should be understood as "at least one" or "one or more". That is, in one embodiment, the number of an element can be one, while in other embodiments, the number of the element can be multiple. The term "a" should not be construed as a limitation on the number.

[0046] Aiming at the defects of the prior art, the present invention combines the two - independent - sample t - test and the positive - negative deviation judgment criterion, and proposes an efficient and accurate method for judging zero - point inspection anomalies before and after the handover of the operation and maintenance unit, effectively filling the gap in the prior art that there is no zero - point inspection anomaly detection and analysis for the handover of the operation and maintenance unit.

[0047] Figure 1 shows the flowchart of the zero - point inspection anomaly judgment method before and after the handover of the operation and maintenance unit of the present invention. As Figure 1 shown, the zero - point inspection anomaly judgment method before and after the handover of the operation and maintenance unit of the present invention includes the following steps:

[0048] I. Confirm the handover time of the operation and maintenance unit.

[0049] For any environmental monitoring station in a city, the handover time of its operation and maintenance unit is determined. Only by referring to the contract or ledger can the specific time for the handover of the operation and maintenance unit of each station be determined.

[0050] II. Data collection.

[0051] Obtain historical data for a period of time from the quality inspection records of environmental monitoring equipment. The time requirement is at least historical data within half a year before and after the operation and maintenance handover to meet the requirements for inspection effectiveness. The collected data includes zero - point inspection values of SO2, NO2, CO, and O3. Uniformly process the collected data, including unit conversion and cleaning of abnormal characters, to ensure data consistency. Thus, zero - point inspection data for a period of time before and after the handover of the operation and maintenance unit of each environmental monitoring station can be obtained.

[0052] III. Data pre - processing.

[0053] Pre - process the zero - point inspection data for a period of time before and after the handover of the operation and maintenance unit, delete missing data, as well as data with significantly abnormal values and duplicate data, to ensure the authenticity of the data.

[0054] In the present invention, the zero - point inspection data before the handover of the operation and maintenance unit can be labeled as x1,...,x n and the zero - point inspection data after the handover of the operation and maintenance unit can be labeled as y1,...,y m . Thus, the number of zero - point inspection data before the handover of the operation and maintenance unit is n, and the number of zero - point inspection data after the handover of the operation and maintenance unit is m. Among them, ensure that the orders of magnitude of n and m do not differ too much. It is best to make n and m have the same order of magnitude, so that the amounts of zero - point inspection data before and after the handover are approximately the same.

[0055] IV. t - test.

[0056] Conduct a t - test on the pre - processed zero - point inspection data for a period of time before and after the handover of the operation and maintenance unit to determine whether there are significant differences in the zero - point inspection data for a period of time before and after the handover of the operation and maintenance unit.

[0057] In the present invention, let be the mean value of the zero - point inspection data for a period of time before the handover, is the mean of the zero - point inspection data for a period of time after the handover. Then, the null hypothesis of the t - test is that is, the means of the zero - point inspection data for a period of time before and after the handover are the same. The alternative hypothesis is that is, the means of the zero - point inspection data for a period of time before and after the handover are different.

[0058] Therefore, a t - test is performed on the zero - point inspection data for a period of time before and after the handover, and the test statistic T is constructed as follows:

[0059]

[0060] In the formula, it is the mean of the zero - point inspection data for a period of time before the handover; it is the mean of the zero - point inspection data for a period of time after the handover; it is the variance of the zero - point inspection data for a period of time before the handover; it is the variance of the zero - point inspection data for a period of time after the handover; x i is the value of the i - th zero - point inspection data for a period of time before the handover; n is the number of zero - point inspection data for a period of time before the handover; y i is the value of the i - th zero - point inspection data for a period of time after the handover; m is the number of zero - point inspection data for a period of time after the handover.

[0061] The test statistic T follows a t - distribution with degrees of freedom n + m−2. Therefore, based on the t.dist.2t function, the p - value is calculated as: p = t.dist.2t(|T|, n + m−2). If p < 0.05, the null hypothesis is rejected, that is, there is a 95% certainty that there are significant differences in the zero - point inspection data for a period of time before and after the handover by the operation and maintenance unit.

[0062] The present invention regards the zero - point inspection data before and after the handover by the operation and maintenance unit as samples from two independent distributions, and uses a t - test to determine whether the distribution means of the two samples are the same, so as to determine whether there is an abnormal deviation in the zero - point inspection results before and after the handover by the operation and maintenance unit. Compared with the method of individually judging whether each single zero - point inspection exceeds the reasonable range, the present invention considers more sample points and can effectively analyze the distribution differences before and after the handover by the operation and maintenance unit.

[0063] V. Positive and negative deviation determination.

[0064] For environmental monitoring stations where there are significant differences in the zero - point inspection data for a period of time before and after the handover by the operation and maintenance unit, positive and negative deviation determination is performed on the zero - point inspection results for a period of time after the handover by the operation and maintenance unit.

[0065] Specifically, for environmental monitoring stations where there are significant differences in zero - point inspection data during a period before and after the handover of the operation and maintenance unit, the absolute value of the mean of the zero - point inspection data during the period before the handover of the operation and maintenance unit is judged whether it is greater than the absolute value of the mean of the zero - point inspection data during a period after the handover of the operation and maintenance unit If then it is considered that the zero - point inspection result after the handover of the operation and maintenance unit is more accurate, and there is no problem with the operation and maintenance unit after the handover; if and then it is considered that after the handover of the operation and maintenance unit, the zero - point inspection result has a positive deviation; if and then it is considered that after the handover of the operation and maintenance unit, the zero - point inspection result has a negative deviation.

[0066] VI. Verification of inspection results of multiple stations.

[0067] Based on the positive and negative deviation determination results of multiple environmental monitoring stations affiliated to the same operation and maintenance unit, it is judged whether the operation and maintenance unit has interfered with the zero - point inspection data.

[0068] Specifically, for multiple environmental monitoring stations affiliated to the same operation and maintenance unit in the same city, the specific number can be determined according to needs. For example, for 10 or 20 environmental monitoring stations, if there are simultaneous positive deviations or simultaneous negative deviations, it is determined that the operation and maintenance unit has a suspected situation of interfering with the zero - point inspection data, and clues can be pushed for further inspection by a third - party inspection agency, and a document can be sent to the operation and maintenance unit for rectification.

[0069] For the stations where the zero - point inspection results based on the t - test are significantly abnormal, the present invention can make further judgments, identify the types of these stations as precision improvement, positive deviation, or negative deviation, so as to further classify and analyze the abnormal stations, which is conducive to taking different measures for stations belonging to different categories and achieving the goal of precise governance and improvement of data quality.

[0070] Figure 2 Shows a schematic diagram of the composition of the zero - point inspection anomaly judgment system before and after the handover of the operation and maintenance unit of the present invention. As Figure 2 shown, the zero - point inspection anomaly judgment system before and after the handover of the operation and maintenance unit of the present invention includes:

[0071] 1. Handover time determination module.

[0072] The handover time determination module is used to determine the handover time of the operation and maintenance unit for each environmental monitoring station.

[0073] 2. Zero - point inspection data acquisition module.

[0074] The zero - point inspection data acquisition module is used to acquire the zero - point inspection data of each environmental monitoring site for a period of time before and after the handover of the operation and maintenance unit.

[0075] 3. Pre - processing module.

[0076] The pre - processing module is used to pre - process the zero - point inspection data of each environmental monitoring site for a period of time before and after the handover of the operation and maintenance unit.

[0077] 4. t - test module.

[0078] The t - test module is used to perform a t - test on the zero - point inspection data of each environmental monitoring site for a period of time before and after the handover of the operation and maintenance unit after pre - processing, so as to determine whether there are significant differences in the zero - point inspection data of each environmental monitoring site for a period of time before and after the handover of the operation and maintenance unit.

[0079] 5. Positive and negative deviation determination module.

[0080] For the environmental monitoring sites where there are significant differences in the zero - point inspection data for a period of time before and after the handover of the operation and maintenance unit, the positive and negative deviation determination module is used to determine the positive and negative deviations of the zero - point inspection results for a period of time after the handover of the operation and maintenance unit.

[0081] 6. Multi - site inspection result verification module.

[0082] The multi - site inspection result verification module is used to judge whether the operation and maintenance unit has interfered with the zero - point inspection data based on the positive and negative deviation determination results of multiple environmental monitoring sites belonging to the same operation and maintenance unit.

[0083] In addition, the present invention also provides a zero - point inspection anomaly judgment device before and after the handover of the operation and maintenance unit, which includes: one or more processors; a memory for storing one or more programs; when the one or more programs are executed by the one or more processors, the one or more processors implement the zero - point inspection anomaly judgment method before and after the handover of the operation and maintenance unit as described above.

[0084] Finally, the present invention provides a computer - readable storage medium, on which a computer program is stored, and characterized in that when the program is executed by a processor, it implements the steps of the zero - point inspection anomaly judgment method before and after the handover of the operation and maintenance unit as described above.

[0085] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the protection scope of the present invention. Those skilled in the art can modify or equivalently replace the technical solutions of the present invention according to the idea of the present invention, without departing from the essence and scope of the technical solutions of the present invention.

Claims

1. A method for abnormal judgment of zero - point inspection before and after the handover of operation and maintenance units, characterized in that, It includes the following steps: 1) Determine the handover time of the operation and maintenance units for each environmental monitoring station; 2) Obtain the zero-point inspection data for a period of time before and after the handover of the operation and maintenance units for each environmental monitoring station; 3) Preprocess the zero-point inspection data for a period of time before and after the handover of the operation and maintenance units; 4) Conduct a two-sample independent t-test on the preprocessed zero-point inspection data for a period of time before and after the handover of the operation and maintenance units to determine whether there are significant differences in the zero-point inspection data for a period of time before and after the handover of the operation and maintenance units; 5) For environmental monitoring stations with significant differences, judge the positive and negative deviations of the zero-point inspection results within a certain period after the handover to the operation and maintenance unit, including: for environmental monitoring stations with significant differences, judge the absolute value of the mean of the zero-point inspection data within a certain period before the handover to the operation and maintenance unit Whether it is greater than the absolute value of the mean of the zero-point inspection data within a certain period after the handover to the operation and maintenance unit If Then it is considered that the zero-point inspection result is more accurate after the handover to the operation and maintenance unit; if And Then it is considered that the zero-point inspection result has a positive deviation after the handover to the operation and maintenance unit; if And Then it is considered that the zero-point inspection result has a negative deviation after the handover to the operation and maintenance unit; 6) Based on the positive and negative deviation determination results of multiple environmental monitoring stations belonging to the same operation and maintenance unit, determine whether the operation and maintenance unit has interfered with the zero-point inspection data, including: for multiple environmental monitoring stations belonging to the same operation and maintenance unit, if there are positive deviations or negative deviations at the same time, it is determined that the operation and maintenance unit has interfered with the zero-point inspection data.

2. The zero-point inspection abnormal judgment method before and after the handover of the operation and maintenance unit according to claim 1, characterized in that, The specific content of step 4) is as follows: The test statistic T constructed when conducting the two-sample independent t-test is: Wherein, It is the mean value of the zero - point inspection data within a period of time before handover; It is the mean value of the zero - point inspection data within a period of time after handover; It is the variance of the zero - point inspection data within a period of time before handover; It is the variance of the zero - point inspection data within a period of time after handover; x i is the value of the i - th zero - point inspection data within a period of time before handover; n is the number of zero - point inspection data within a period of time before handover; y i is the value of the i - th zero - point inspection data within a period of time after handover; m is the number of zero - point inspection data within a period of time after handover; The test statistic T follows a t-distribution with degrees of freedom n + m - 2. Thus, based on the t.dist.2t function, the p-value is calculated as: p = t.dist.2t(|T|, n + m - 2). If p < 0.05, it is considered that there are significant differences in the zero-point inspection data for a period of time before and after the handover of the operation and maintenance units.

3. The zero-point inspection abnormal judgment method before and after the handover of the operation and maintenance unit according to claim 1 or 2, characterized in that, The period of time before and after the handover of the operation and maintenance units in step 2) refers to at least half a year before and after the handover of the operation and maintenance units.

4. The zero-point inspection abnormal judgment method before and after the handover of the operation and maintenance unit according to claim 3, characterized in that The zero-point inspection data obtained in step 2) includes the zero-point inspection values of SO2, NO2, CO, and O3.

5. The zero-point inspection abnormality judgment method for the operation and maintenance unit before and after handover according to claim 4, characterized in that The preprocessing in step 3) includes: deleting the missing data, as well as the data with significantly abnormal values and duplicate data in the zero-point inspection data.

6. An abnormal judgment system for zero - point inspection before and after the handover of an operation and maintenance unit, applying the abnormal judgment method described in any one of claims 1 - 5, characterized in that, It includes: A handover time determination module, which is used to determine the handover time of the operation and maintenance units for each environmental monitoring station; A zero-point inspection data acquisition module, which is used to obtain the zero-point inspection data for a period of time before and after the handover of the operation and maintenance units for each environmental monitoring station; A preprocessing module, which is used to preprocess the zero-point inspection data for a period of time before and after the handover of the operation and maintenance units; A two-sample independent t-test module, which is used to conduct a two-sample independent t-test on the preprocessed zero-point inspection data for a period of time before and after the handover of the operation and maintenance units to determine whether there are significant differences in the zero-point inspection data for a period of time before and after the handover of the operation and maintenance units; A positive and negative deviation determination module, for the environmental monitoring stations with significant differences, it is used to determine the positive and negative deviations of the zero-point inspection results for a period of time after the handover of the operation and maintenance units; A multi-station inspection result verification module, which is used to determine whether the operation and maintenance unit has interfered with the zero-point inspection data based on the positive and negative deviation determination results of multiple environmental monitoring stations belonging to the same operation and maintenance unit.

7. An abnormal judgment device for zero-point inspection before and after the handover of an operation and maintenance unit, characterized in that, It includes: One or more processors; A memory, which is used to store one or more programs; When the one or more programs are executed by the one or more processors, the one or more processors implement the method for judging abnormal zero-point inspection before and after the handover of the operation and maintenance unit as described in any one of claims 1-5.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that, When the program is executed by a processor, it implements the steps of the zero-point inspection abnormality judgment method before and after the handover of the operation and maintenance unit as described in any one of claims 1-5.

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