CN116773756B - Monitoring and early warning method and system for content of harmful gas in atmospheric environment - Google Patents
Monitoring and early warning method and system for content of harmful gas in atmospheric environment Download PDFInfo
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 382
- 238000000034 method Methods 0.000 title claims abstract description 30
- 230000005540 biological transmission Effects 0.000 claims abstract description 59
- 238000004458 analytical method Methods 0.000 claims abstract description 44
- 238000004891 communication Methods 0.000 claims abstract description 4
- 239000007789 gas Substances 0.000 claims description 96
- 230000002159 abnormal effect Effects 0.000 claims description 41
- 238000004364 calculation method Methods 0.000 claims description 16
- 238000004073 vulcanization Methods 0.000 claims description 12
- 238000003763 carbonization Methods 0.000 claims description 11
- 238000005121 nitriding Methods 0.000 claims description 11
- 238000012216 screening Methods 0.000 claims description 5
- 238000012935 Averaging Methods 0.000 claims description 3
- UCKMPCXJQFINFW-UHFFFAOYSA-N Sulphide Chemical compound [S-2] UCKMPCXJQFINFW-UHFFFAOYSA-N 0.000 claims description 3
- 150000004767 nitrides Chemical class 0.000 claims description 3
- 238000007405 data analysis Methods 0.000 abstract description 3
- 238000005516 engineering process Methods 0.000 abstract description 2
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- 238000010586 diagram Methods 0.000 description 1
- 238000009792 diffusion process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
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Abstract
The application belongs to the field of harmful gas monitoring, relates to a data analysis technology, and is used for solving the problem that the accuracy of a monitoring result of an existing harmful gas content monitoring and early-warning method cannot be guaranteed, in particular to a harmful gas content monitoring and early-warning method and system in an atmospheric environment, wherein a monitoring and early-warning platform is in communication connection with a data acquisition module, a monitoring and analysis module, a calibration analysis module and a storage module; the data acquisition module is used for acquiring harmful gas content data of a monitored area: dividing a monitoring area into monitoring areas i, arranging a harmful gas monitoring terminal U in each monitoring area i, and acquiring a harmful coefficient YHUi of the monitoring area i through the harmful gas monitoring terminal U; the application can collect the harmful gas content data of the monitored areas, independently collect the data in each monitored area in a regional division mode, and simultaneously set the collection terminals corresponding to different transmission channels in each monitored area.
Description
Technical Field
The application belongs to the field of harmful gas monitoring, relates to a data analysis technology, and in particular relates to a method and a system for monitoring and early warning of harmful gas content in an atmospheric environment.
Background
The atmospheric pollution monitoring is to measure the type and concentration of pollutants in the atmosphere, observe the time-space distribution and change rule process, and monitor the atmospheric pollution monitoring to identify the pollutants in the atmosphere, master the distribution and diffusion rule, and monitor the emission and control conditions of the atmospheric pollution source.
The existing monitoring and early warning method for the content of the harmful gas generally collects and gathers pollution data through a plurality of distributed monitoring terminals, and then feeds back the content of the harmful gas through data analysis, but the accuracy of the measurement data and the data transmission safety of the monitoring terminals cannot be guaranteed, so that the accuracy of the monitoring result of the traditional harmful gas monitoring system cannot be guaranteed.
The application provides a solution to the technical problem.
Disclosure of Invention
The application aims to provide a method and a system for monitoring and early warning the content of harmful gas in an atmospheric environment, which are used for solving the problem that the accuracy of the monitoring result of the existing method for monitoring and early warning the content of harmful gas cannot be ensured;
the technical problems to be solved by the application are as follows: how to provide a monitoring and early warning method and a system for the content of harmful gases in the atmosphere environment, which can ensure the accuracy of a monitoring result.
The aim of the application can be achieved by the following technical scheme:
the monitoring and early warning system for the content of harmful gases in the atmospheric environment comprises a monitoring and early warning platform, wherein the monitoring and early warning platform is in communication connection with a data acquisition module, a monitoring and analysis module, a calibration and analysis module and a storage module;
the data acquisition module is used for acquiring harmful gas content data of a monitored area: dividing a monitoring area into monitoring areas i, i=1, 2, …, n and n are positive integers, arranging a harmful gas monitoring terminal U in each monitoring area i, wherein U=1, 2, …, m and m are positive integers, and acquiring a harmful coefficient YHUi of the monitoring area i through the harmful gas monitoring terminal U; transmitting the harmful coefficient YHUi of the monitoring area i monitored by the harmful gas monitoring terminal U to a monitoring analysis module through a monitoring early warning platform;
the monitoring and analyzing module comprises monitoring and analyzing units R, R=1, 2, …, m and m are positive integers, and the harmful gas monitoring terminal U sends the collected harmful coefficients YHUi to the corresponding monitoring and analyzing units R; the monitoring and analyzing module is used for monitoring and analyzing the content of harmful gases in a monitored area;
the calibration analysis module is used for carrying out calibration analysis on the monitoring precision of the harmful gas in the monitored area and marking the calibration mode as transmission calibration or terminal calibration.
As a preferred embodiment of the present application, the process of obtaining the harmful coefficient YHUi includes: obtaining vulcanization data LHUi, nitriding data DHUi and carbonization data THUi of a monitoring area i through a harmful gas monitoring terminal U; the vulcanization data LHUi is a sulfide concentration value in a monitoring area i monitored by a harmful gas monitoring terminal U; the nitriding data DHUi are nitride concentration values in a monitoring area i monitored by the harmful gas monitoring terminal U; the carbonization data THUi is a carbide concentration value in a monitoring area i monitored by a harmful gas monitoring terminal U; the damage coefficient YHUi of the monitoring area i is obtained by numerical calculation of the vulcanization data LHUi, the nitriding data DHUi and the carbonization data THUi.
As a preferred embodiment of the present application, the specific process of monitoring and analyzing the content of harmful gas in the monitored area by the monitoring and analyzing module includes: summing the harmful coefficients YHUi collected by the monitoring area i corresponding to all the harmful gas terminals U, and taking an average value to obtain a harmful representation value YBi of the monitoring area i, wherein the harmful representation values YBi of all the monitoring area i form a monitoring data set; and carrying out variance calculation on the harmful coefficients YHUi collected by the monitoring terminals U corresponding to all the harmful gases in the monitoring area i to obtain a monitoring deviation value JPi of the monitoring area i, obtaining a monitoring deviation threshold value JPmax through a storage module, comparing the monitoring deviation values JPi of all the monitoring area i with the monitoring deviation threshold value JPmax one by one, and judging whether the monitoring precision meets the requirement or not through a comparison result.
As a preferred embodiment of the present application, the specific process of comparing the monitoring deviation values JPi of all the monitoring areas i with the monitoring deviation threshold JPmax one by one includes: if the monitoring deviation values JPi of all the monitoring areas i are smaller than the monitoring deviation threshold JPmax, judging that the monitoring precision meets the requirement, sending the monitoring data set to a monitoring and early warning platform, and sending the monitoring data set to a mobile phone terminal of a manager after the monitoring and early warning platform receives the monitoring data set; otherwise, the monitoring accuracy is judged to be not satisfied, the monitoring data set is sent to a monitoring and early warning platform, and the monitoring and early warning platform sends the monitoring data set to a calibration analysis module after receiving the monitoring data set.
As a preferred embodiment of the present application, the specific process of the calibration analysis module for performing calibration analysis on the monitoring accuracy of the harmful gas in the monitored area includes: marking a monitoring area corresponding to the monitoring deviation value JPi not smaller than the monitoring deviation threshold JPmax as a deviation area, marking a difference value between a harmful coefficient YHUi and a harmful representation value YBi in the deviation area as an intra-area difference value QYUi, acquiring an intra-area difference threshold QYmax through a storage module, and comparing the intra-area difference value QYUi with the intra-area difference threshold QYmax: if the difference value QYUi in the area is smaller than the difference threshold value QYmax in the area, judging that the data is normal; if the difference value QYUi in the area is larger than or equal to the difference threshold value QYmax in the area, judging that the data is abnormal, and marking the corresponding harmful gas monitoring terminal as an abnormal terminal.
As a preferred embodiment of the present application, the specific process of marking the calibration mode includes: the abnormal set is formed by the numbers of the monitoring analysis units R corresponding to all the abnormal terminals, variance calculation is carried out on the abnormal set to obtain a transmission coefficient, a transmission threshold value is obtained through the storage module, and the transmission coefficient is compared with the transmission threshold value: if the transmission coefficient is smaller than the transmission threshold, marking the calibration mode as transmission calibration, generating a transmission calibration signal and sending the transmission calibration signal to a monitoring and early-warning platform, and sending the transmission calibration signal to a mobile phone terminal of a manager after the monitoring and early-warning platform receives the transmission calibration signal; if the transmission coefficient is greater than or equal to the transmission threshold, marking the calibration mode as terminal calibration, generating a terminal calibration signal, sending the terminal calibration signal to a monitoring and early-warning platform, and sending the terminal calibration signal to a mobile phone terminal of a manager after the monitoring and early-warning platform receives the terminal calibration signal.
A monitoring and early warning method for harmful gas content in the atmosphere environment comprises the following steps:
step one: collecting harmful gas content data of a monitored area: dividing a monitoring area into monitoring areas i, i=1, 2, … and n, arranging a harmful gas monitoring terminal U in each monitoring area i, wherein U=1, 2, … and m, acquiring vulcanization data LHUi, nitriding data DHUi and carbonization data THUi of the monitoring area i through the harmful gas monitoring terminal U, and carrying out numerical calculation to obtain a harmful coefficient YHUi;
step two: monitoring and analyzing the content of harmful gases in a monitored area: the method comprises the steps of summing and averaging harmful coefficients YHUi collected by all harmful gas terminals U corresponding to a monitoring area i to obtain a harmful representation value YBi of the monitoring area i, forming a monitoring data set by the harmful representation values YBi of all the monitoring area i, calculating variance of the harmful coefficients YHUi collected by all the harmful gas monitoring terminals U corresponding to the monitoring area i to obtain a monitoring deviation value JPi of the monitoring area i, obtaining a monitoring deviation threshold JPmax through a storage module, and comparing the monitoring deviation values JPi of all the monitoring area i with the monitoring deviation threshold JPmax one by one: if the monitoring deviation values JPi of all the monitoring areas i are smaller than the monitoring deviation threshold JPmax, judging that the monitoring precision meets the requirement, and executing the fourth step; otherwise, judging that the monitoring precision does not meet the requirement, and executing the third step;
step three: and (3) carrying out calibration analysis on the monitoring accuracy of harmful gases in the monitored area: marking a monitoring area corresponding to the monitoring deviation value JPi not smaller than the monitoring deviation threshold JPmax as a deviation area, screening abnormal terminals in the deviation area, forming an abnormal set by the numbers of the monitoring analysis units R corresponding to all the abnormal terminals, performing variance calculation on the abnormal set to obtain a transmission coefficient, and marking a calibration mode through the transmission coefficient;
step four: and sending the monitoring data set to a monitoring and early warning platform, and sending the monitoring data set to a mobile phone terminal of a manager after the monitoring and early warning platform receives the monitoring data set.
The application has the following beneficial effects:
1. the data acquisition module can acquire the harmful gas content data of the monitored area, the data in each monitored area are acquired independently in an area division mode, and meanwhile, acquisition terminals corresponding to different transmission channels are arranged in each monitored area, so that the phenomenon of abnormal data monitoring accuracy can be monitored by combining the data of all terminals in the area and the acquisition data corresponding to the same monitoring analysis unit;
2. the monitoring analysis module can monitor and analyze the content of harmful gas in the monitored area, and the accuracy of the terminal data is verified by analyzing the monitoring data of all terminals in the monitored area, so that the terminal data with abnormal monitoring accuracy is marked, and then the abnormal area is sent to the calibration analysis module for deep analysis in a data transmission mode;
3. the system and the method have the advantages that the harmful gas monitoring precision in the monitoring area can be calibrated and analyzed through the calibration analysis module, the transmission coefficient is obtained through analyzing and calculating the number of the abnormal harmful gas monitoring terminal, so that the abnormal data rule is fed back through the transmission coefficient, the calibration mode is marked, and the manager can directly calibrate the data in the corresponding calibration mode, so that the accuracy of the follow-up monitoring data is improved.
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In order to more clearly illustrate the embodiments of the application or the technical solutions in the prior art, the drawings that are required in the embodiments or the description of the prior art will be briefly described, it being obvious that the drawings in the following description are only some embodiments of the application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a system block diagram of a first embodiment of the present application;
fig. 2 is a flowchart of a method according to a second embodiment of the application.
Detailed Description
The technical solutions of the present application will be clearly and completely described in connection with the embodiments, and it is obvious that the described embodiments are only some embodiments of the present application, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
Embodiment one: as shown in FIG. 1, the monitoring and early warning system for the content of harmful gases in the atmospheric environment comprises a monitoring and early warning platform, wherein the monitoring and early warning platform is in communication connection with a data acquisition module, a monitoring and analysis module, a calibration and analysis module and a storage module.
The data acquisition module is used for acquiring harmful gas content data of a monitored area: dividing a monitoring area into monitoring areas i, i=1, 2, …, n and n are positive integers, arranging a harmful gas monitoring terminal U in each monitoring area i, wherein U=1, 2, …, m and m are positive integers, and acquiring vulcanization data LHUi, nitriding data DHUi and carbonization data THUi of the monitoring area i through the harmful gas monitoring terminal U; the vulcanization data LHUi is a sulfide concentration value in a monitoring area i monitored by a harmful gas monitoring terminal U; the nitriding data DHUi are nitride concentration values in a monitoring area i monitored by the harmful gas monitoring terminal U; the carbonization data THUi is a carbide concentration value in a monitoring area i monitored by a harmful gas monitoring terminal U; obtaining a harmful coefficient YHUi of a monitoring area i monitored by a harmful gas monitoring terminal U through a formula YHUi=α1LHUi+α2DHUi+α3THUi, wherein α1, α2 and α3 are weight coefficients, and α1 > α2 > α3 > 1; transmitting the harmful coefficient YHUi of the monitoring area i monitored by the harmful gas monitoring terminal U to a monitoring analysis module through a monitoring early warning platform; the method comprises the steps of collecting harmful gas content data of a monitoring area, independently collecting the data in each monitoring area in a regional division mode, and simultaneously setting collecting terminals corresponding to different transmission channels in each monitoring area, so that the phenomenon of abnormal data monitoring accuracy can be monitored by combining the data of all terminals in the area and the collecting data corresponding to the same monitoring analysis unit.
The monitoring and analyzing module comprises monitoring and analyzing units R, R=1, 2, …, m and m are positive integers, and the harmful gas monitoring terminal U sends the collected harmful coefficients YHUi to the corresponding monitoring and analyzing units R; the monitoring analysis module is used for monitoring and analyzing the content of harmful gases in the monitored area: summing the harmful coefficients YHUi collected by the monitoring area i corresponding to all the harmful gas terminals U, and taking an average value to obtain a harmful representation value YBi of the monitoring area i, wherein the harmful representation values YBi of all the monitoring area i form a monitoring data set; carrying out variance calculation on the harmful coefficients YHUi collected by the monitoring terminals U corresponding to all the harmful gases in the monitoring area i to obtain a monitoring deviation value JPi of the monitoring area i, obtaining a monitoring deviation threshold value JPmax through a storage module, and comparing the monitoring deviation values JPi of all the monitoring area i with the monitoring deviation threshold value JPmax one by one: if the monitoring deviation values JPi of all the monitoring areas i are smaller than the monitoring deviation threshold JPmax, judging that the monitoring precision meets the requirement, sending the monitoring data set to a monitoring and early warning platform, and sending the monitoring data set to a mobile phone terminal of a manager after the monitoring and early warning platform receives the monitoring data set; otherwise, judging that the monitoring precision does not meet the requirement, sending the monitoring data set to a monitoring and early warning platform, and sending the monitoring data set to a calibration analysis module after the monitoring and early warning platform receives the monitoring data set; and monitoring and analyzing the content of harmful gas in the monitored area, verifying the accuracy of the terminal data by analyzing the monitored data of all terminals in the monitored area, marking the terminal data with abnormal monitoring accuracy, and then sending the abnormal area to a calibration analysis module for deep analysis in a data transmission mode.
The calibration analysis module is used for carrying out calibration analysis on the monitoring precision of the harmful gas in the monitored area: marking a monitoring area corresponding to the monitoring deviation value JPi not smaller than the monitoring deviation threshold JPmax as a deviation area, marking a difference value between a harmful coefficient YHUi and a harmful representation value YBi in the deviation area as an intra-area difference value QYUi, acquiring an intra-area difference threshold QYmax through a storage module, and comparing the intra-area difference value QYUi with the intra-area difference threshold QYmax: if the difference value QYUi in the area is smaller than the difference threshold value QYmax in the area, judging that the data is normal; if the difference value QYUi in the area is larger than or equal to the difference threshold value QYmax in the area, judging that the data is abnormal, and marking the corresponding harmful gas monitoring terminal as an abnormal terminal; the abnormal set is formed by the numbers of the monitoring analysis units R corresponding to all the abnormal terminals, variance calculation is carried out on the abnormal set to obtain a transmission coefficient, a transmission threshold value is obtained through the storage module, and the transmission coefficient is compared with the transmission threshold value: if the transmission coefficient is smaller than the transmission threshold, marking the calibration mode as transmission calibration, generating a transmission calibration signal and sending the transmission calibration signal to a monitoring and early-warning platform, and sending the transmission calibration signal to a mobile phone terminal of a manager after the monitoring and early-warning platform receives the transmission calibration signal; if the transmission coefficient is greater than or equal to the transmission threshold, marking the calibration mode as terminal calibration, generating a terminal calibration signal and sending the terminal calibration signal to a monitoring and early warning platform, and sending the terminal calibration signal to a mobile phone terminal of a manager after the monitoring and early warning platform receives the terminal calibration signal; and carrying out calibration analysis on the monitoring precision of the harmful gas in the monitoring area, and analyzing and calculating the number of the abnormal harmful gas monitoring terminal to obtain a transmission coefficient, so that the abnormal rule of the data is fed back through the transmission coefficient, the calibration mode is marked, and a manager can directly carry out data calibration in a corresponding calibration mode, thereby improving the accuracy of the follow-up monitoring data.
Embodiment two: as shown in FIG. 2, the method for monitoring and early warning the content of harmful gases in the atmosphere comprises the following steps:
step one: collecting harmful gas content data of a monitored area: dividing a monitoring area into monitoring areas i, i=1, 2, … and n, arranging a harmful gas monitoring terminal U in each monitoring area i, wherein U=1, 2, … and m, acquiring vulcanization data LHUi, nitriding data DHUi and carbonization data THUi of the monitoring area i through the harmful gas monitoring terminal U, and carrying out numerical calculation to obtain a harmful coefficient YHUi;
step two: monitoring and analyzing the content of harmful gases in a monitored area: the method comprises the steps of summing and averaging harmful coefficients YHUi collected by all harmful gas terminals U corresponding to a monitoring area i to obtain a harmful representation value YBi of the monitoring area i, forming a monitoring data set by the harmful representation values YBi of all the monitoring area i, calculating variance of the harmful coefficients YHUi collected by all the harmful gas monitoring terminals U corresponding to the monitoring area i to obtain a monitoring deviation value JPi of the monitoring area i, obtaining a monitoring deviation threshold JPmax through a storage module, and comparing the monitoring deviation values JPi of all the monitoring area i with the monitoring deviation threshold JPmax one by one: if the monitoring deviation values JPi of all the monitoring areas i are smaller than the monitoring deviation threshold JPmax, judging that the monitoring precision meets the requirement, and executing the fourth step; otherwise, judging that the monitoring precision does not meet the requirement, and executing the third step;
step three: and (3) carrying out calibration analysis on the monitoring accuracy of harmful gases in the monitored area: marking a monitoring area corresponding to the monitoring deviation value JPi not smaller than the monitoring deviation threshold JPmax as a deviation area, screening abnormal terminals in the deviation area, forming an abnormal set by the numbers of the monitoring analysis units R corresponding to all the abnormal terminals, performing variance calculation on the abnormal set to obtain a transmission coefficient, and marking a calibration mode through the transmission coefficient;
step four: and sending the monitoring data set to a monitoring and early warning platform, and sending the monitoring data set to a mobile phone terminal of a manager after the monitoring and early warning platform receives the monitoring data set.
The monitoring and early warning method and system for the content of harmful gas in the atmosphere environment are characterized in that a monitoring area is divided into monitoring areas i, i=1, 2, … and n in operation, harmful gas monitoring terminals U, U=1, 2 and … m are arranged in each monitoring area i, vulcanized data LHUi, nitrided data DHUi and carbonized data THUi of the monitoring area i are obtained through the harmful gas monitoring terminals U, and numerical calculation is carried out to obtain a harmful coefficient YHUi; summing the harmful coefficients YHUi collected by the monitoring area i corresponding to all the harmful gas terminals U, and taking an average value to obtain a harmful representation value YBi of the monitoring area i, wherein the harmful representation values YBi of all the monitoring area i form a monitoring data set; marking a monitoring area corresponding to the monitoring deviation value JPi not smaller than the monitoring deviation threshold JPmax as a deviation area, screening abnormal terminals in the deviation area, forming an abnormal set by the numbers of the monitoring analysis units R corresponding to all the abnormal terminals, performing variance calculation on the abnormal set to obtain a transmission coefficient, and marking a calibration mode through the transmission coefficient.
The foregoing is merely illustrative of the structures of this application and various modifications, additions and substitutions for those skilled in the art can be made to the described embodiments without departing from the scope of the application or from the scope of the application as defined in the accompanying claims.
The formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to a true value, and coefficients in the formulas are set by a person skilled in the art according to actual conditions; such as: the formula yhui=α1 lhui+α2 dhui+α3 thui; collecting a plurality of groups of sample data by a person skilled in the art and setting a corresponding harmful coefficient for each group of sample data; substituting the set harmful coefficient and the collected sample data into a formula, forming a ternary one-time equation set by any three formulas, screening the calculated coefficient, and taking an average value to obtain values of alpha 1, alpha 2 and alpha 3 which are respectively 4.25, 3.57 and 3.16;
the size of the coefficient is a specific numerical value obtained by quantizing each parameter, so that the subsequent comparison is convenient, and the size of the coefficient depends on the number of sample data and the corresponding harmful coefficient is preliminarily set for each group of sample data by a person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected, the harmful coefficient is directly proportional to the value of the vulcanization data.
In the description of the present specification, the descriptions of the terms "one embodiment," "example," "specific example," and the like, mean that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
The preferred embodiments of the application disclosed above are intended only to assist in the explanation of the application. The preferred embodiments are not intended to be exhaustive or to limit the application to the precise form disclosed. Obviously, many modifications and variations are possible in light of the above teaching. The embodiments were chosen and described in order to best explain the principles of the application and the practical application, to thereby enable others skilled in the art to best understand and utilize the application. The application is limited only by the claims and the full scope and equivalents thereof.
Claims (4)
1. The monitoring and early warning system for the content of harmful gases in the atmospheric environment is characterized by comprising a monitoring and early warning platform, wherein the monitoring and early warning platform is in communication connection with a data acquisition module, a monitoring and analysis module, a calibration and analysis module and a storage module;
the data acquisition module is used for acquiring harmful gas content data of a monitored area: dividing a monitoring area into monitoring areas i, i=1, 2, …, n and n are positive integers, arranging a harmful gas monitoring terminal U in each monitoring area i, wherein U=1, 2, …, m and m are positive integers, and acquiring a harmful coefficient YHUi of the monitoring area i through the harmful gas monitoring terminal U; transmitting the harmful coefficient YHUi of the monitoring area i monitored by the harmful gas monitoring terminal U to a monitoring analysis module through a monitoring early warning platform;
the monitoring and analyzing module comprises monitoring and analyzing units R, R=1, 2, …, m and m are positive integers, and the harmful gas monitoring terminal U sends the collected harmful coefficients YHUi to the corresponding monitoring and analyzing units R; the monitoring and analyzing module is used for monitoring and analyzing the content of harmful gases in a monitored area;
the calibration analysis module is used for carrying out calibration analysis on the monitoring precision of the harmful gas in the monitoring area and marking the calibration mode as transmission calibration or terminal calibration;
the specific process of monitoring and analyzing the content of harmful gases in the monitored area by the monitoring and analyzing module comprises the following steps: summing the harmful coefficients YHUi collected by the monitoring area i corresponding to all the harmful gas terminals U, and taking an average value to obtain a harmful representation value YBi of the monitoring area i, wherein the harmful representation values YBi of all the monitoring area i form a monitoring data set; carrying out variance calculation on the harmful coefficients YHUi collected by the monitoring terminals U corresponding to all the harmful gases in the monitoring area i to obtain a monitoring deviation value JPi of the monitoring area i, obtaining a monitoring deviation threshold value JPmax through a storage module, comparing the monitoring deviation values JPi of all the monitoring area i with the monitoring deviation threshold value JPmax one by one, and judging whether the monitoring precision meets the requirement or not through a comparison result;
the specific process of comparing the monitoring deviation values JPi of all the monitoring areas i with the monitoring deviation threshold JPmax one by one comprises the following steps: if the monitoring deviation values JPi of all the monitoring areas i are smaller than the monitoring deviation threshold JPmax, judging that the monitoring precision meets the requirement, sending the monitoring data set to a monitoring and early warning platform, and sending the monitoring data set to a mobile phone terminal of a manager after the monitoring and early warning platform receives the monitoring data set; otherwise, judging that the monitoring precision does not meet the requirement, sending the monitoring data set to a monitoring and early warning platform, and sending the monitoring data set to a calibration analysis module after the monitoring and early warning platform receives the monitoring data set;
the specific process of the calibration analysis module for carrying out calibration analysis on the monitoring precision of the harmful gas in the monitored area comprises the following steps: marking a monitoring area corresponding to the monitoring deviation value JPi not smaller than the monitoring deviation threshold JPmax as a deviation area, marking a difference value between a harmful coefficient YHUi and a harmful representation value YBi in the deviation area as an intra-area difference value QYUi, acquiring an intra-area difference threshold QYmax through a storage module, and comparing the intra-area difference value QYUi with the intra-area difference threshold QYmax: if the difference value QYUi in the area is smaller than the difference threshold value QYmax in the area, judging that the data is normal; if the difference value QYUi in the area is larger than or equal to the difference threshold value QYmax in the area, judging that the data is abnormal, and marking the corresponding harmful gas monitoring terminal as an abnormal terminal.
2. The monitoring and early warning system for the content of harmful gases in an atmospheric environment according to claim 1, wherein the process of obtaining the harmful coefficient YHUi comprises: obtaining vulcanization data LHUi, nitriding data DHUi and carbonization data THUi of a monitoring area i through a harmful gas monitoring terminal U; the vulcanization data LHUi is a sulfide concentration value in a monitoring area i monitored by a harmful gas monitoring terminal U; the nitriding data DHUi are nitride concentration values in a monitoring area i monitored by the harmful gas monitoring terminal U; the carbonization data THUi is a carbide concentration value in a monitoring area i monitored by a harmful gas monitoring terminal U; the damage coefficient YHUi of the monitoring area i is obtained by numerical calculation of the vulcanization data LHUi, the nitriding data DHUi and the carbonization data THUi.
3. The system for monitoring and warning the content of harmful gases in an atmospheric environment according to claim 2, wherein the specific process of marking the calibration mode comprises: the abnormal set is formed by the numbers of the monitoring analysis units R corresponding to all the abnormal terminals, variance calculation is carried out on the abnormal set to obtain a transmission coefficient, a transmission threshold value is obtained through the storage module, and the transmission coefficient is compared with the transmission threshold value: if the transmission coefficient is smaller than the transmission threshold, marking the calibration mode as transmission calibration, generating a transmission calibration signal and sending the transmission calibration signal to a monitoring and early-warning platform, and sending the transmission calibration signal to a mobile phone terminal of a manager after the monitoring and early-warning platform receives the transmission calibration signal; if the transmission coefficient is greater than or equal to the transmission threshold, marking the calibration mode as terminal calibration, generating a terminal calibration signal, sending the terminal calibration signal to a monitoring and early-warning platform, and sending the terminal calibration signal to a mobile phone terminal of a manager after the monitoring and early-warning platform receives the terminal calibration signal.
4. The monitoring and early warning method for the content of harmful gas in the atmosphere environment is characterized by comprising the following steps of:
step one: collecting harmful gas content data of a monitored area: dividing a monitoring area into monitoring areas i, i=1, 2, … and n, arranging a harmful gas monitoring terminal U in each monitoring area i, wherein U=1, 2, … and m, acquiring vulcanization data LHUi, nitriding data DHUi and carbonization data THUi of the monitoring area i through the harmful gas monitoring terminal U, and carrying out numerical calculation to obtain a harmful coefficient YHUi;
step two: monitoring and analyzing the content of harmful gases in a monitored area: the method comprises the steps of summing and averaging harmful coefficients YHUi collected by all harmful gas terminals U corresponding to a monitoring area i to obtain a harmful representation value YBi of the monitoring area i, forming a monitoring data set by the harmful representation values YBi of all the monitoring area i, calculating variance of the harmful coefficients YHUi collected by all the harmful gas monitoring terminals U corresponding to the monitoring area i to obtain a monitoring deviation value JPi of the monitoring area i, obtaining a monitoring deviation threshold JPmax through a storage module, and comparing the monitoring deviation values JPi of all the monitoring area i with the monitoring deviation threshold JPmax one by one: if the monitoring deviation values JPi of all the monitoring areas i are smaller than the monitoring deviation threshold JPmax, judging that the monitoring precision meets the requirement, and executing the fourth step; otherwise, judging that the monitoring precision does not meet the requirement, and executing the third step;
step three: and (3) carrying out calibration analysis on the monitoring accuracy of harmful gases in the monitored area: marking a monitoring area corresponding to the monitoring deviation value JPi not smaller than the monitoring deviation threshold JPmax as a deviation area, screening abnormal terminals in the deviation area, forming an abnormal set by the numbers of the monitoring analysis units R corresponding to all the abnormal terminals, performing variance calculation on the abnormal set to obtain a transmission coefficient, and marking a calibration mode through the transmission coefficient;
step four: and sending the monitoring data set to a monitoring and early warning platform, and sending the monitoring data set to a mobile phone terminal of a manager after the monitoring and early warning platform receives the monitoring data set.
Priority Applications (1)
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