Instrument data management and control system for environmental protection monitoring based on Internet of Things

Abstract

The invention relates to the technical field of environmental protection data analysis, and discloses an Internet of Things-based instrument data management and control system for environmental protection monitoring, which comprises an instrument end, a cloud database and an application end, the application end comprises a data acquisition module, a data preprocessing module, an environment quality analysis module, an environment data matching module, a spatial redundancy analysis module, an auxiliary evaluation module and a man-machine interaction module; through the arrangement of the auxiliary evaluation module, the auxiliary evaluation of the environmental protection scheme is facilitated, the execution strength, the applicability and the supervision strength of the environmental protection scheme are evaluated through scientific and reliable data, the environmental data of a monitoring instrument are fully utilized, the potential meaning of the data is deeply mined while the environmental quality is analyzed, and the data quality is analyzed. The implementation condition of the environmental protection scheme is effectively supervised and urged, an auxiliary basis is provided for evaluating the effect of the environmental protection scheme, a direction is pointed out for environmental governance, and the environmental governance capability and effect are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of environmental data analysis, and more specifically to an environmental monitoring instrument data management and control system based on the Internet of Things. Background Art

[0002] With the acceleration of industrialization, environmental pollution problems are becoming increasingly serious, and the importance of environmental monitoring in environmental management is becoming increasingly prominent; traditional environmental monitoring instruments can usually only realize local data collection and storage, lack of remote data management and analysis capabilities, resulting in the inability to timely and accurately process and analyze environmental monitoring data.

[0003] A public document with publication number CN116977146B discloses an instrument data management and control system for environmental monitoring based on the Internet of Things, including an information collection node, a management and control center, a data classification module and a threat analysis module; the information collection node is used to collect environmental data in each monitoring area; the data classification module is used to perform management and control index analysis on the environmental data, and classify the environmental data according to the management and control index; if it is core data, the transmission path is a primary transit path; if it is ordinary data, the transmission path is a multi-level transit path; it effectively avoids network congestion, improves communication efficiency, and makes data transmission more hierarchical; the management and control center is used to pre-process the received environmental data, and transmit the pre-processed environmental data to the threat analysis module for threat coefficient analysis, determine the pollution status of each monitoring area, so as to remind the management personnel of the management center to timely manage the monitoring area; improve environmental management efficiency.

[0004] However, there are governance standards for environmental governance, and the governance standards are stipulated by environmental protection plans. The environmental data of environmental monitoring instruments can reflect not only the environmental conditions, but also whether the environmental data meets the standards. Therefore, the data of environmental monitoring instruments can be used to evaluate the effectiveness of environmental protection plans and judge the improvement of environmental quality by the plans. At the same time, it can supervise areas or regions that have not implemented environmental protection plans, thereby promoting the development of environmental protection. In view of this, the present invention provides a data management and control system for environmental monitoring instruments based on the Internet of Things, which makes full use of the environmental data of monitoring instruments, analyzes the environmental quality, and effectively supervises and urges the implementation of environmental protection plans. Summary of the invention

[0005] In order to overcome the above-mentioned defects of the prior art, the present invention provides an instrument data management and control system for environmental monitoring based on the Internet of Things to solve the problems existing in the above-mentioned background technology.

[0006] The present invention provides the following technical solutions: an environmental monitoring instrument data management and control system based on the Internet of Things, comprising an instrument terminal, a cloud database and an application terminal; The instrument end is an environmental monitoring instrument, which is responsible for collecting real-time environmental data and uploading it to a cloud database; the cloud database is used to receive the real-time environmental data transmitted by the instrument end, classify the real-time environmental data, and assign the classified real-time environmental data to corresponding environmental factor categories and store them, and at the same time set the corresponding collection time in the form of a timestamp; The application end is used to perform specific analysis on the target environmental data. The data acquisition module of the application end is used to acquire the target environmental data, the target text data and the cloud data, including an environmental data acquisition unit, a text data acquisition unit and a cloud data acquisition unit; the data preprocessing module is used to perform preprocessing operations on the data of the data acquisition module, including an environmental data preprocessing unit, a text data preprocessing unit and a cloud data preprocessing unit; the environmental quality analysis module is used to analyze the environmental quality before the separation point and the environmental quality after the separation point respectively, and obtain the environmental quality gain; the environmental data matching module is used to acquire the marked data items in the target text data, and match the target environmental data with them, construct a constraint function to acquire the environmental compliance factor and the non-environmental compliance factor, and then transmit them to the spatial redundancy analysis module. If there is no non-environmental compliance factor, the data is directly transmitted to the auxiliary evaluation module; the spatial redundancy analysis module acquires the spatial redundancy based on the non-environmental compliance factor and the constructed constraint function; the auxiliary evaluation module is used to receive the data of the environmental quality analysis module and the spatial redundancy analysis module, and acquire the auxiliary evaluation content of the environmental protection plan; the human-computer interaction module is used to display the data in a human-computer interactive manner.

[0007] Preferably, the target environmental data is obtained from a cloud database, the target text data is the text content and implementation time of the environmental protection plan that needs to be evaluated for effectiveness, and the cloud data is the data stored in the cloud database; the text content of the target text data can be obtained through web crawler technology; the target environmental data is the environmental data collected each time from the implementation time of the target text data; the cloud data is environmental data collected the same number of times as the target environmental data, and the environmental data is the data closest to the implementation time before the implementation time of the target text data.

[0008] Preferably, the environmental data acquisition unit is used to collect target environmental data and transmit it to the environmental data preprocessing unit, and the text data acquisition unit is used to collect target text data and transmit it to the text data preprocessing unit; the cloud data acquisition unit is used to collect cloud data from a cloud database; the environmental data preprocessing unit is used to receive data from the environmental data acquisition unit, and transmit it to the environmental quality analysis module and the environmental data matching module after preprocessing, and the text data preprocessing unit is used to receive data from the text data acquisition unit, and transmit it to the environmental data matching module after preprocessing; the cloud data preprocessing unit is used to receive data from the cloud data acquisition unit, and transmit it to the environmental quality analysis module after preprocessing.

[0009] Preferably, the environmental quality before the separation point is calculated from the environmental data before the separation point, which is the cloud data; the environmental quality after the separation point is calculated from the environmental data after the separation point, which is the target environmental data; the separation point is the implementation time of the environmental protection plan in the target text data; the environmental data before the separation point is marked as comparison data, and the environmental data after the separation point is marked as supervision data, then the environmental quality before the separation point is expressed as comparison environmental quality, and the environmental quality after the separation point is expressed as supervision environmental quality.

[0010] Preferably, the cloud database classifies the environmental data by using a clustering algorithm to divide the environmental data stored in the cloud database into m data categories, each data category corresponds to an environmental factor, that is, m environmental factor categories; the number of data categories is the same as the number of environmental factors, the cluster center of each data category is obtained, and the distance between the real-time environmental data received by the cloud database and the cluster center of each data category is calculated. If the environmental data is a combination of multiple environmental data, the distance between each element in the set, i.e., each environmental data, and the cluster center of each data category is calculated in turn, and each environmental data is assigned to the data category corresponding to the cluster center closest to it, thereby completing the data classification of the real-time environmental data.

[0011] Preferably, the environmental quality analysis module obtains the environmental quality gain by the following steps: Step S01: Calculate the supervision environment quality, i.e., the environment quality after the separation point: The supervision data is expressed as , where F 后 is the supervision data, i.e., the environmental data after the separation point, T 后i is the supervision data collected for the i-th time, and n is the total number of supervision data collection times; , where H ij is the data value of the jth environmental factor category in the i-th collected supervision data; i=1, 2, 3, ..., n, j=1, 2, 3, ..., m; the calculation formula for the supervision environment quality is expressed as: , where ZL_H is the quality of the monitored environment; , where ZL_Hj is the supervisory environmental quality parameter corresponding to the jth environmental factor category; Step S02: Calculate the comparative environmental quality, i.e., the environmental quality before the separation point: the comparative data is expressed as , where F 前 is the comparison data, i.e. the environmental data before the separation point, T 前i is the comparison data collected for the i-th time, n is the total number of collections of the comparison data, which is the same as the number of collections of the supervision data and is the n collections closest to the separation point; , where Q ij is the data value of the jth environmental factor category in the comparative data collected for the i-th time; i=1, 2, 3, ..., n, j=1, 2, 3, ..., m; the comparative environmental quality calculation formula is expressed as: , where ZL_Q is the comparative environmental quality; , where ZL_Qj is the comparative environmental quality parameter corresponding to the jth environmental factor category; Step S03: Obtaining environmental quality gain: , among which ZL + For environmental quality gains.

[0012] Preferably, the environmental data matching module performs text extraction on the target text data to obtain the advertised data items, sets digital labels for the advertised data items, the digital labels of each advertised data item are the same as the serial number of the environmental factor category, and converts the content of the advertised data item into the form of a constraint function, which is expressed as: or , where C j is the data value of the jth environmental factor category, YS j is the constraint value of the jth environmental factor category.

[0013] Preferably, the environmental compliance factor and the non-environmental compliance factor are obtained in the following manner: The real-time environmental data in the target environmental data is matched with the advertised data item. The matching method is: obtain the environmental factor category name after the real-time environmental data is classified by the cloud database, and match it with the advertised data item. The matching method adopts string exact matching; exact matching is to compare the string corresponding to the environmental factor category name with the string corresponding to the advertised data item, and match them if they are exactly the same; the environmental data corresponding to the successfully matched environmental factor category name is subjected to constraint function screening. If the environmental data value satisfies the constraint function corresponding to the successfully matched advertised data item, the environmental factor corresponding to the environmental data is recorded as the environmental compliance factor, otherwise it is recorded as the non-environmental compliance factor.

[0014] Preferably, the specific manner in which the space redundancy analysis module obtains the space redundancy is: The constraint value of the constraint function corresponding to the non-environmental compliance factor is taken as the assumed value, the assumed environmental quality is calculated, and the spatial margin is obtained by subtracting the supervised environmental quality from the assumed environmental quality; the calculation formula of the assumed environmental quality is expressed as: , where ZL_jd is the assumed environmental quality, H r is the data value of the rth environmental compliance factor in the real-time environmental data, YS u is the constraint value of the u-th non-environmental compliance factor, R is the total number of environmental compliance factors, U is the total number of non-environmental compliance factors, r=1, 2, 3, …, R, u=1, 2, 3, …, U, R+U=m.

[0015] Preferably, the specific method for the auxiliary evaluation module to obtain the auxiliary evaluation content of the environmental protection plan is: The supervised environment quality gain and space margin are divided into levels, and the gain threshold YU1 and the improvement threshold YU2 are set; if the supervised environment quality gain does not reach the gain threshold, it is divided into a low level, and if it reaches the gain threshold, it is divided into a high level; if the space margin does not exceed the improvement threshold, it is divided into a high level, and if the space margin exceeds the improvement threshold, it is divided into a low level; When the supervisory environment quality gain and spatial margin are both at a low level, the auxiliary evaluation content is: poor program implementation and poor improvement effect; When the supervisory environment quality gain and spatial margin are both at a high level, the auxiliary evaluation content is: good implementation of the program and good improvement effect; When the supervisory environmental quality gain is at a low level and the spatial margin is at a high level, the auxiliary evaluation content is: the implementation of the plan is good and the environmental governance has been good; When the monitored environmental quality gain is at a high level and the spatial margin is at a low level, the auxiliary evaluation content is: the implementation of the plan is good and needs to be maintained or strengthened.

[0016] Technical effects and advantages of the present invention: (1) The present invention is provided with an environmental quality analysis module, which is conducive to distinguishing and analyzing the data before and after the separation point, that is, the implementation time of the environmental protection plan. The difference between the environmental protection quality before the separation point and the environmental protection quality after the separation point can be obtained, thereby indirectly reflecting the impact of the environmental protection plan on the environmental quality. If the difference between the environmental quality before and after the separation point is too large, that is, the environmental quality gain is too large, it means that the environmental quality has been significantly improved after the release of the environmental protection plan, that is, the applicability of the environmental protection plan is strong. If the difference between the environmental quality before and after the separation point is too small, that is, the environmental quality gain is too small, there are two possible situations. One is that the improvement effect of the environmental quality after the release of the environmental protection plan is not significant, and the applicability of the environmental protection plan is weak; the other is that the original environmental quality of the monitoring area or region corresponding to the environmental protection data is very high, and there is little room for improvement, so further analysis is needed; therefore, by analyzing the environmental quality data before and after the separation point, a foundation is laid for the subsequent evaluation of the environmental protection plan and a reliable scientific basis is provided.

[0017] (2) The present invention is provided with an environmental data matching module and a spatial redundancy analysis module, which is beneficial for obtaining environmental factors that do not meet the conditions of the environmental protection plan by obtaining environmental compliance factors and non-environmental compliance factors, and can know whether the monitoring area or region corresponding to the environmental data meets the requirements of the environmental protection plan. If not, it means that it can be improved to meet the requirements of the environmental protection plan, which lays the foundation for the spatial analysis module to calculate the spatial redundancy. The spatial redundancy can indirectly reflect the degree to which the environmental quality of the monitoring area or region corresponding to the environmental data can be improved, and can further analyze the situation where the environmental gain in the environmental quality analysis module is too small. The two are combined to obtain a more comprehensive analysis result, which lays the foundation for the auxiliary evaluation module to perform auxiliary evaluation on the environmental protection plan.

[0018] (3) The present invention is provided with an auxiliary evaluation module, which is conducive to auxiliary evaluation of environmental protection plans through the data of the environmental quality analysis module and the spatial analysis module, and evaluates the execution strength, applicability and supervision strength of the environmental protection plan through scientific and reliable data. It makes full use of the environmental data of the monitoring instrument. While analyzing the environmental quality, it deeply explores the potential meaning of the data, effectively supervises and urges the implementation of the environmental protection plan, and provides auxiliary basis for evaluating the effectiveness of the environmental protection plan, which can further promote the development of environmental protection, point out the direction for environmental governance, and improve environmental governance capabilities and effects. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] Figure 1 This is a flow chart of the data management and control system for environmental monitoring instruments based on the Internet of Things of the present invention.

[0020] Figure 2 This is a flow chart of the application end of the present invention.

[0021] Figure 3 This is a structural diagram of the data acquisition module of the present invention.

[0022] Figure 4 This is a structural diagram of the data preprocessing module of the present invention. DETAILED DESCRIPTION

[0023] The technical solution of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the present invention. In addition, the forms of the various structures recorded in the following embodiments are only examples. The instrument data management and control system for environmental monitoring based on the Internet of Things involved in the present invention is not limited to the various structures recorded in the following embodiments. All other implementations obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0024] like Figure 1 As shown, the present invention provides an instrument data management and control system for environmental monitoring based on the Internet of Things, including an instrument end, a cloud database and an application end; the instrument end is an environmental monitoring instrument, which is responsible for collecting real-time environmental data and uploading it to the cloud database; the uploaded content includes each environmental data value and the corresponding collection time; the environmental data is the pollutant content in the environment, including but not limited to the concentration of each particulate matter in the air, sulfur dioxide content, nitrogen oxide content, dissolved oxygen content in water quality, chemical oxygen demand content, ammonia nitrogen content and total phosphorus content and other environmental data values ​​for evaluating environmental quality; the environmental data is one environmental data or a combination of multiple environmental data, and the upload form is the environmental data name plus a percentage value. For example, the sulfur dioxide content in the air is expressed as one percent of sulfur dioxide when uploading; if the environmental data is a combination of multiple environmental data, it is expressed in the form of a collection; The cloud database is used to receive real-time environmental data transmitted by the instrument end, classify the real-time environmental data, and assign the classified real-time environmental data to corresponding environmental factor categories and store them, and set the corresponding collection time in the form of a timestamp; the environmental factors are data categories of environmental data, including but not limited to various particulate matter in the air, sulfur dioxide, nitrogen oxides, dissolved oxygen in water quality, ammonia nitrogen and total phosphorus, etc.; illustratively, if the data collected by the environmental monitoring instrument is the content of sulfur dioxide in the air and the content of dissolved oxygen in water quality, the data is classified into corresponding sulfur dioxide categories and dissolved oxygen categories for storage; the data in each environmental factor category are the collected data of the environmental factor at each collection time; its purpose is to improve the convenience of subsequent data analysis. If you want to analyze the data of a certain environmental factor, you can directly obtain the data in the corresponding environmental factor category; at the same time, classifying the environmental data can more clearly and intuitively see the data changes of different environmental factors at different times; The application end is used to perform specific analysis on the target environmental data, including a data acquisition module, a data preprocessing module, an environmental quality analysis module, an environmental data matching module, a spatial redundancy analysis module, an auxiliary evaluation module and a human-computer interaction module; The data acquisition module is used to acquire target environment data, target text data and cloud data. The target environment data is acquired from a cloud database. The target text data is the text content and implementation time of the environmental protection plan that needs to be evaluated for effect. The cloud data is the data stored in the cloud database. The text content of the target text data can be acquired through web crawler technology. The target environment data is the environmental data collected each time from the implementation time of the target text data. The cloud data is the environmental data collected the same number of times as the target environment data. The environmental data is the data closest to the implementation time before the implementation time of the target text data. For example, if a total of a environmental data is collected within the range from the implementation time of the target text data to the current time, the number of target environment data collection is a times, and the cloud data selects the environmental data collected a times closest to the implementation time of the target text data. The data acquisition module includes an environment data acquisition unit, a text data acquisition unit and a cloud data acquisition unit. The environment data acquisition unit is used to collect the target environment data and transmit it to the environment data preprocessing unit. The text data acquisition unit is used to collect the target text data and transmit it to the text data preprocessing unit. The cloud data acquisition unit is used to collect cloud data from a cloud database. The data preprocessing module is used to perform preprocessing operations on the data of the data acquisition module to obtain data that can be directly used. The data preprocessing module includes an environmental data preprocessing unit, a text data preprocessing unit and a cloud data preprocessing unit. The environmental data preprocessing unit is used to receive the data of the environmental data acquisition unit, and transmit it to the environmental quality analysis module and the environmental data matching module after preprocessing. The text data preprocessing unit is used to receive the data of the text data acquisition unit, and transmit it to the environmental data matching module after preprocessing; the cloud data preprocessing unit is used to receive the data of the cloud data acquisition unit, and transmit it to the environmental quality analysis module after preprocessing; the preprocessing operation includes but is not limited to cleaning, denoising and normalizing the data; The environmental quality analysis module is used to receive data from the environmental data preprocessing unit and the cloud data preprocessing unit in the data preprocessing module, and analyze the environmental quality before the separation point and the environmental quality after the separation point respectively to obtain the environmental quality gain; the environmental quality before the separation point is calculated from the environmental data before the separation point, the environmental data before the separation point is the cloud data, the environmental quality after the separation point is calculated from the environmental data after the separation point, the environmental data after the separation point is the target environmental data, and the separation point is the implementation time of the environmental protection plan in the target text data; the environmental data before the separation point is marked as comparison data, and the environmental data after the separation point is marked as supervision data, then the environmental quality before the separation point is represented as comparison environmental quality, and the environmental quality after the separation point is represented as supervision environmental quality; its purpose is to compare the environmental quality before and after the separation point, that is, the implementation time of the environmental protection plan. By distinguishing and analyzing the data, we can obtain the difference between the environmental quality before the separation point and the environmental quality after the separation point, which can indirectly reflect the impact of the environmental protection plan on the environmental quality. If the difference between the environmental quality before and after the separation point is too large, that is, the environmental quality gain is too large, it means that the environmental quality has been significantly improved after the release of the environmental protection plan, that is, the applicability of the environmental protection plan is strong. If the difference between the environmental quality before and after the separation point is too small, that is, the environmental quality gain is too small, there are two possible situations. One is that the improvement effect of the environmental quality after the release of the environmental protection plan is not significant, and the applicability of the environmental protection plan is weak; the other is that the original environmental quality of the monitoring area or region corresponding to the environmental protection data is very high, and there is little room for improvement, so further analysis is needed; therefore, by analyzing the environmental quality data before and after the separation point, it lays the foundation for the subsequent evaluation of the environmental protection plan and provides a reliable scientific basis; The environmental data matching module is used to receive data from the text data preprocessing unit and the environmental data preprocessing unit in the data preprocessing module, obtain the marked data items in the target text data, match the target environmental data with the target text data, construct a constraint function to obtain the environmental compliance factor and the non-environmental compliance factor, and then transmit them to the spatial redundancy analysis module. If there is no non-environmental compliance factor, the data is directly transmitted to the auxiliary evaluation module; its purpose is to obtain the environmental compliance factor and the non-environmental compliance factor to obtain the environmental factor that does not meet the conditions of the environmental protection plan, and to know whether the monitoring area or region corresponding to the environmental data meets the requirements of the environmental protection plan. If not, it means that it can be improved to meet the requirements of the environmental protection plan, which lays the foundation for the spatial analysis module to calculate the spatial redundancy; The spatial redundancy analysis module obtains the spatial redundancy based on the non-environmental compliance factors and the constructed constraint function; if the spatial redundancy is too large, it means that there are still multiple environmental data in the monitoring area or region corresponding to the environmental data that do not meet the requirements of the environmental protection plan, so there is still a lot of remaining space for supervision and environmental quality improvement; if the spatial redundancy is too small, it means that the monitoring area or region corresponding to the environmental data mostly meets the requirements of the environmental protection plan, and only needs to continue to maintain it. Therefore, the spatial redundancy can indirectly reflect the degree to which the environmental quality of the monitoring area or region corresponding to the environmental data can be improved, and can further analyze the situation where the environmental gain in the environmental quality analysis module is too small. The two are combined to obtain a more comprehensive analysis result, which lays the foundation for the auxiliary evaluation module to perform auxiliary evaluation on the environmental protection plan; The auxiliary evaluation module is used to receive data from the environmental quality analysis module and the space redundancy analysis module to obtain auxiliary evaluation content of the environmental protection plan; The human-computer interaction module is used to perform human-computer interaction display on the data.

[0025] In the present embodiment, it should be specifically explained that the cloud database classifies the environmental data by using a clustering algorithm to divide the environmental data stored in the cloud database into m data categories, each data category corresponds to an environmental factor, that is, m environmental factor categories; the number of data categories is the same as the number of environmental factors, the cluster center of each data category is obtained, and the distance between the real-time environmental data received by the cloud database and the cluster center of each data category is calculated. If the environmental data is a combination of multiple environmental data, the distance between each element in the set, i.e., each environmental data, and the cluster center of each data category is calculated in turn, and each environmental data is assigned to the data category corresponding to the cluster center closest to it, thereby completing the data classification of the real-time environmental data.

[0026] In this embodiment, it should be specifically explained that the environmental quality analysis module obtains the environmental quality gain by the following steps: Step S01: Calculate the supervision environment quality, i.e., the environment quality after the separation point: The supervision data is expressed as , where F 后 is the supervision data, i.e., the environmental data after the separation point, T 后i is the supervision data collected for the i-th time, and n is the total number of supervision data collection times; , where H ij is the data value of the jth environmental factor category in the i-th collected supervision data; i=1, 2, 3, ..., n, j=1, 2, 3, ..., m; the calculation formula for the supervision environment quality is expressed as: , where ZL_H is the quality of the monitored environment; , where ZL_Hj is the supervisory environmental quality parameter corresponding to the jth environmental factor category, indicating the mean proportion of pollutants corresponding to the jth environmental factor in the supervisory data. The higher the proportion of pollutants, the worse the environmental quality within the time range after the separation point. Step S02: Calculate the comparative environmental quality, i.e., the environmental quality before the separation point: the comparative data is expressed as , where F 前 is the comparison data, i.e. the environmental data before the separation point, T 前i is the comparison data collected for the i-th time, n is the total number of collections of the comparison data, which is the same as the number of collections of the supervision data and is the n collections closest to the separation point; , where Q ij is the data value of the jth environmental factor category in the comparative data collected for the i-th time; i=1, 2, 3, ..., n, j=1, 2, 3, ..., m; the comparative environmental quality calculation formula is expressed as: , where ZL_Q is the comparative environmental quality; , where ZL_Qj is the comparative environmental quality parameter corresponding to the j-th environmental factor category, indicating the mean proportion of pollutants corresponding to the j-th environmental factor in the comparative data; Step S03: Obtaining environmental quality gain: , among which ZL + It is the environmental quality gain; the larger the environmental quality gain value is, the better the improvement in environmental quality is; the smaller the environmental quality gain value is, there are two situations: one is that the improvement in environmental quality needs to be improved; the other is that the original environmental quality is very good and there is little room for improvement, resulting in a smaller environmental quality gain value.

[0027] In this embodiment, it should be specifically explained that the environmental data matching module performs text extraction on the target text data to obtain the advertised data item, which is the data name of the environmental pollutant concentration mentioned in the target text data, and sets a digital label for the advertised data item. The digital label of each advertised data item is the same as the serial number of the environmental factor category, and the content of the advertised data item is converted into the form of a constraint function, which is expressed as: or ; Specifically set by the target text data content, if the text data content is less than, select the less than sign, if the text data content is not greater than or must not exceed the words, then select the less than or equal to sign; the C j is the data value of the jth environmental factor category, YS j is the constraint value of the jth environmental factor category, that is, the limit value of the content range that must not be exceeded mentioned in the target text data; For example, if the target text data mentions that the sulfur dioxide content in the air must be less than 1% and the PM2.5 content must be less than 2%, then sulfur dioxide and PM2.5 are both labeled data items. If sulfur dioxide is the first environmental factor category and PM2.5 is the second environmental factor category, then the expression converted into the form of a constraint function is: , where C1 is the data value of the first environmental factor category, i.e., the content of sulfur dioxide, and C2 is the data value of the second environmental factor category, i.e., the content of PM2.5; The real-time environmental data in the target environmental data is matched with the advertised data item. The matching method is: obtain the environmental factor category name after the real-time environmental data is classified by the cloud database, and match it with the advertised data item. The matching method adopts string exact matching; exact matching is to compare the string corresponding to the environmental factor category name with the string corresponding to the advertised data item. If they are exactly the same, they are matched; the environmental data corresponding to the successfully matched environmental factor category name is subjected to constraint function screening. If the environmental data value satisfies the constraint function corresponding to the successfully matched advertised data item, the environmental factor corresponding to the environmental data is recorded as an environmental compliance factor, otherwise it is recorded as a non-environmental compliance factor; illustratively, if the advertised data item is sulfur dioxide and PM2.5, the real-time environmental data in the target environmental data is sulfur dioxide 0.5%, PM2.5 1.1% and PM10 0.5%, after matching, the successfully matched environmental factor category name is sulfur dioxide and PM2.5, and the corresponding environmental data is the content of sulfur dioxide and PM2.5, and then the constraint function screening is performed. If the expression of the constraint function is: , after the constraint function is screened, if the sulfur dioxide content satisfies the constraint function and the PM2.5 content does not satisfy the constraint function, then sulfur dioxide is the environmental compliance factor and PM2.5 is the non-environmental compliance factor.

[0028] In this embodiment, it should be specifically explained that the specific manner in which the space margin analysis module obtains the space margin is: The constraint value of the constraint function corresponding to the non-environmental compliance factor is taken as the assumed value, the assumed environmental quality is calculated, and the spatial margin is obtained by subtracting the supervised environmental quality from the assumed environmental quality; the calculation formula of the assumed environmental quality is expressed as: , where ZL_jd is the assumed environmental quality, H r is the data value of the rth environmental compliance factor in the real-time environmental data, YS u is the constraint value of the u-th non-environmental compliance factor, R is the total number of environmental compliance factors, U is the total number of non-environmental compliance factors, r=1, 2, 3, ..., R, u=1, 2, 3, ..., U, R+U=m; An auxiliary evaluation of the environmental protection plan is performed based on the value of the spatial margin. If the spatial margin is larger, it means that there is more room for improvement, which means that the implementation of the environmental protection plan can also increase the supervision to obtain better environmental quality results. Otherwise, it means that the implementation of the environmental protection plan tends to the optimal level and there is less room for improvement.

[0029] In this embodiment, it should be specifically explained that the specific manner in which the auxiliary evaluation module obtains the auxiliary evaluation content of the environmental protection plan is: The supervised environment quality gain and space margin are divided into levels, and the gain threshold YU1 and the improvement threshold YU2 are set; if the supervised environment quality gain does not reach the gain threshold, it is divided into a low level, and if it reaches the gain threshold, it is divided into a high level; if the space margin does not exceed the improvement threshold, it is divided into a high level, and if the space margin exceeds the improvement threshold, it is divided into a low level; When both the environmental quality gain and spatial margin are at a low level, it means that the environmental quality gain has not reached the gain threshold, that is, the environmental quality improvement effect is not significant, and the spatial margin exceeds the improvement threshold, that is, there is a lot of room for environmental quality improvement, and it rarely meets the requirements of the plan. Therefore, it shows that the supervision of the monitoring area or region is not strong enough, resulting in the environmental quality improvement effect is not obvious, that is, the implementation of the environmental protection plan is poor; the auxiliary evaluation content is: the implementation of the plan is poor, and the improvement effect is poor; When both the environmental quality gain and spatial margin of supervision are at a high level, it means that the environmental quality gain of supervision has reached the gain threshold, that is, the environmental quality improvement effect is significant, and the spatial margin has not exceeded the improvement threshold, that is, there is less room for improvement of environmental quality, which basically meets the requirements of the plan. Therefore, it shows that the environmental protection plan is highly applicable to the monitored area or region, and the supervision and enforcement are strong, and the environmental governance effect is significant; the auxiliary evaluation content is: the implementation of the plan is good and the improvement effect is good; When the supervisory environmental quality gain is at a low level and the spatial margin is at a high level, it means that the supervisory environmental quality gain has not reached the gain threshold, that is, the environmental quality improvement effect is not significant, and the spatial margin has not exceeded the improvement threshold, that is, there is little room for improvement in environmental quality, and the requirements of the plan are basically met. Therefore, it shows that the environmental governance level of the monitored area or region has always been very good, so there is little room for improvement in environmental quality and the improvement effect is not significant; the auxiliary evaluation content is: the implementation of the plan is good, and the environmental governance has been good; When the supervisory environmental quality gain is at a high level and the spatial margin is at a low level, it means that the supervisory environmental quality gain has reached the gain threshold, that is, the environmental quality improvement effect is significant, and the spatial margin exceeds the improvement threshold, that is, there is a lot of room for improvement in environmental quality and it rarely meets the requirements of the plan. Therefore, it shows that the plan implementation and supervision efforts in the monitored area or region are good, but the environmental governance situation in the area or region has been very poor, and it is still necessary to continue to maintain or increase the plan implementation and supervision efforts to continuously improve the environmental governance effect; the auxiliary evaluation content is: the plan implementation is good and needs to be maintained or strengthened.

[0030] Finally: The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

[0031] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. An environmental monitoring instrument data management and control system based on the Internet of Things, characterized by: Including instrument side, cloud database and application side; The instrument end is an environmental monitoring instrument, which is responsible for collecting real-time environmental data and uploading it to the cloud database; The cloud database is used to receive the real-time environmental data transmitted by the instrument end, classify the real-time environmental data, and assign the classified real-time environmental data to corresponding environmental factor categories and store them, and at the same time set the corresponding collection time in the form of a timestamp; The application end is used to perform specific analysis on the target environmental data. The data acquisition module of the application end is used to acquire the target environmental data, the target text data and the cloud data, including an environmental data acquisition unit, a text data acquisition unit and a cloud data acquisition unit; the data preprocessing module is used to perform preprocessing operations on the data of the data acquisition module, including an environmental data preprocessing unit, a text data preprocessing unit and a cloud data preprocessing unit; the environmental quality analysis module is used to analyze the environmental quality before the separation point and the environmental quality after the separation point respectively, and obtain the environmental quality gain; the environmental data matching module is used to acquire the marked data items in the target text data, and match the target environmental data with them, construct a constraint function to acquire the environmental compliance factor and the non-environmental compliance factor, and then transmit them to the spatial redundancy analysis module. If there is no non-environmental compliance factor, the data is directly transmitted to the auxiliary evaluation module; the spatial redundancy analysis module acquires the spatial redundancy based on the non-environmental compliance factor and the constructed constraint function; the auxiliary evaluation module is used to receive the data of the environmental quality analysis module and the spatial redundancy analysis module, and acquire the auxiliary evaluation content of the environmental protection plan; the human-computer interaction module is used to display the data in a human-computer interactive manner.

2. According to the Internet of Things-based environmental monitoring instrument data management and control system of claim 1, it is characterized by: The target environmental data is obtained from a cloud database, the target text data is the text content and implementation time of the environmental protection plan that needs to be evaluated for effectiveness, and the cloud data is the data stored in the cloud database; the text content of the target text data can be obtained through web crawler technology; the target environmental data is the environmental data collected each time from the implementation time of the target text data; the cloud data is environmental data collected the same number of times as the target environmental data, and the environmental data is the data before the implementation time of the target text data and closest to the implementation time.

3. According to the Internet of Things-based environmental monitoring instrument data management and control system of claim 2, it is characterized by: The environmental data acquisition unit is used to collect target environmental data and transmit it to the environmental data preprocessing unit, and the text data acquisition unit is used to collect target text data and transmit it to the text data preprocessing unit; the cloud data acquisition unit is used to collect cloud data from a cloud database; the environmental data preprocessing unit is used to receive data from the environmental data acquisition unit, and transmit it to the environmental quality analysis module and the environmental data matching module after preprocessing, and the text data preprocessing unit is used to receive data from the text data acquisition unit, and transmit it to the environmental data matching module after preprocessing; the cloud data preprocessing unit is used to receive data from the cloud data acquisition unit, and transmit it to the environmental quality analysis module after preprocessing.

4. According to the Internet of Things-based environmental monitoring instrument data management and control system of claim 3, it is characterized by: The environmental quality before the separation point is calculated from the environmental data before the separation point, which is the cloud data; the environmental quality after the separation point is calculated from the environmental data after the separation point, which is the target environmental data; the separation point is the implementation time of the environmental protection plan in the target text data; the environmental data before the separation point is marked as comparison data, and the environmental data after the separation point is marked as supervision data, then the environmental quality before the separation point is expressed as comparison environmental quality, and the environmental quality after the separation point is expressed as supervision environmental quality.

5. According to the Internet of Things-based environmental monitoring instrument data management and control system of claim 4, it is characterized by: The cloud database classifies the environmental data by using a clustering algorithm to divide the environmental data stored in the cloud database into m data categories, each data category corresponds to an environmental factor, that is, m environmental factor categories; the number of data categories is the same as the number of environmental factors, the cluster center of each data category is obtained, and the distance between the real-time environmental data received by the cloud database and the cluster center of each data category is calculated. If the environmental data is a combination of multiple environmental data, the distance between each element in the set, that is, each environmental data, and the cluster center of each data category is calculated in turn, and each environmental data is assigned to the data category corresponding to the cluster center closest to it, thereby completing the data classification of the real-time environmental data.

6. The data management and control system for environmental monitoring instruments based on the Internet of Things according to claim 5 is characterized by: The environmental quality analysis module obtains the environmental quality gain by the following steps: Step S01: Calculate the supervision environment quality, i.e., the environment quality after the separation point: The supervision data is expressed as , where F 后 is the supervision data, i.e., the environmental data after the separation point, T 后i is the supervision data collected for the i-th time, and n is the total number of supervision data collection times; , where H ij is the data value of the jth environmental factor category in the i-th collected supervision data; i=1, 2, 3, ..., n, j=1, 2, 3, ..., m; the calculation formula for the supervision environment quality is expressed as: , where ZL_H is the quality of the monitored environment; , where ZL_Hj is the supervisory environmental quality parameter corresponding to the jth environmental factor category; Step S02: Calculate the comparative environmental quality, i.e., the environmental quality before the separation point: the comparative data is expressed as , where F 前 is the comparative data, i.e. the environmental data before the separation point, T 前i is the comparison data collected for the i-th time, n is the total number of collections of the comparison data, which is the same as the number of collections of the supervision data and is the n collections closest to the separation point; , where Q ij is the data value of the jth environmental factor category in the comparative data collected for the i-th time; i=1, 2, 3, ..., n, j=1, 2, 3, ..., m; the comparative environmental quality calculation formula is expressed as: , where ZL_Q is the comparative environmental quality; , where ZL_Qj is the comparative environmental quality parameter corresponding to the jth environmental factor category; Step S03: Obtaining environmental quality gain: , among which ZL + For environmental quality gains.

7. The data management and control system for environmental monitoring instruments based on the Internet of Things according to claim 6 is characterized by: The environmental data matching module extracts text from the target text data, obtains the advertised data items, sets digital labels for the advertised data items, and the digital labels of each advertised data item are the same as the serial number of the environmental factor category, and converts the content of the advertised data item into the form of a constraint function, which is expressed as: or , where C j is the data value of the jth environmental factor category, YS j is the constraint value of the jth environmental factor category.

8. The data management and control system for environmental monitoring instruments based on the Internet of Things according to claim 7 is characterized by: The environmental compliance factors and non-environmental compliance factors are obtained as follows: The real-time environmental data in the target environmental data is matched with the advertised data item. The matching method is: obtain the environmental factor category name after the real-time environmental data is classified by the cloud database, and match it with the advertised data item. The matching method adopts string exact matching; exact matching is to compare the string corresponding to the environmental factor category name with the string corresponding to the advertised data item, and match them if they are exactly the same; the environmental data corresponding to the successfully matched environmental factor category name is subjected to constraint function screening. If the environmental data value satisfies the constraint function corresponding to the successfully matched advertised data item, the environmental factor corresponding to the environmental data is recorded as the environmental compliance factor, otherwise it is recorded as the non-environmental compliance factor.

9. The data management and control system for environmental monitoring instruments based on the Internet of Things according to claim 8 is characterized by: The specific method for the spatial redundancy analysis module to obtain the spatial redundancy is: The constraint value of the constraint function corresponding to the non-environmental compliance factor is taken as the assumed value, the assumed environmental quality is calculated, and the spatial margin is obtained by subtracting the supervised environmental quality from the assumed environmental quality; the calculation formula of the assumed environmental quality is expressed as: , where ZL_jd is the assumed environmental quality, H r is the data value of the rth environmental compliance factor in the real-time environmental data, YS u is the constraint value of the u-th non-environmental compliance factor, R is the total number of environmental compliance factors, U is the total number of non-environmental compliance factors, r=1, 2, 3, …, R, u=1, 2, 3, …, U, R+U=m.

10. The data management and control system for environmental monitoring instruments based on the Internet of Things according to claim 9 is characterized in that: The specific method for the auxiliary evaluation module to obtain the auxiliary evaluation content of the environmental protection plan is: The supervised environment quality gain and space margin are divided into levels, and the gain threshold YU1 and the improvement threshold YU2 are set; if the supervised environment quality gain does not reach the gain threshold, it is divided into a low level, and if it reaches the gain threshold, it is divided into a high level; if the space margin does not exceed the improvement threshold, it is divided into a high level, and if the space margin exceeds the improvement threshold, it is divided into a low level; When the supervisory environment quality gain and spatial margin are both at a low level, the auxiliary evaluation content is: poor program implementation and poor improvement effect; When the supervisory environment quality gain and spatial margin are both at a high level, the auxiliary evaluation content is: good implementation of the program and good improvement effect; When the supervisory environmental quality gain is at a low level and the spatial margin is at a high level, the auxiliary evaluation content is: the implementation of the plan is good and the environmental governance has been good; When the monitored environmental quality gain is at a high level and the spatial margin is at a low level, the auxiliary evaluation content is: the implementation of the plan is good and needs to be maintained or strengthened.

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