A fusion accounting system and method for atmospheric pollutants

Abstract

The present invention relates to the field of pollutant accounting technology, and in particular to a system and method for fusion accounting of atmospheric pollutants, comprising: an accounting App sends a data acquisition request instruction to a host computer; after receiving the data acquisition request instruction, the host computer obtains accounting data from a local database and sends the pollutant emission data to the accounting App; the accounting data includes pollutant emission monitoring data obtained by automatic monitoring equipment and pollutant emission monitoring data obtained by manual monitoring equipment; the accounting App divides the accounting data into a plurality of different accounting data sets according to recognition results; the accounting App calls a plurality of pre-stored accounting models according to the recognition results; the accounting App grabs accounting guidance data from the website of the environmental protection department; the accounting App generates an accounting method table according to the accounting task, calls the corresponding accounting model through the accounting method table, and then calculates the pollutant data in the corresponding accounting data set in combination with the accounting guidance data.

Description

Technical Field

[0001] The present invention relates to the field of pollutant accounting technology, and in particular to a system and method for fusion accounting of atmospheric pollutants. Background Art

[0002] With the rapid development of industrialization and urbanization, air pollution has become increasingly serious and has become one of the main factors affecting public health and the ecological environment. Traditional environmental monitoring mainly relies on decentralized monitoring sites and manual data collection, which has problems such as data acquisition delays, low monitoring efficiency, and untimely data processing. In addition, due to the single data source, the comprehensiveness and accuracy of the data are difficult to guarantee, which has brought limitations to the prediction of pollution trends and the accurate identification of pollution sources.

[0003] The accounting of atmospheric pollutants is a key step in environmental protection and pollution control. It involves the quantitative analysis of pollutants and the assessment of their impact on the environment. Accurate pollutant accounting can not only provide a scientific basis for policy making, but also improve the efficiency and effectiveness of pollution control. However, traditional accounting methods usually rely on static data sets and fixed calculation models, which are difficult to flexibly respond to the dynamic changes in pollutant emissions and the differentiation of local environmental standards.

[0004] Real-time collection of environmental data through automatic monitoring equipment and sensor networks, as well as storage, processing and analysis of data using cloud platforms and mobile applications, has become a trend to enhance the level of intelligence and informatization of environmental monitoring. Summary of the invention

[0005] The present invention combines automatic and manual equipment monitoring data, and uses the local database system and accounting APP to process and analyze data. By directly obtaining the latest accounting guidance data from the environmental protection department website and using multiple pre-loaded accounting models for data analysis, it not only improves the accuracy and timeliness of accounting, but also enhances the adaptability of accounting methods to different pollutants and pollution conditions.

[0006] The technical solution proposed by the present invention is: a method for fusion accounting of atmospheric pollutants, the method comprising:

[0007] Obtaining an accounting task, the accounting App generates an accounting method table according to the accounting task; the accounting task includes the selection of an accounting method, the determination of an accounting scope, and the types of pollutants, and the determination of a time range and a spatial range for the accounting;

[0008] The accounting app sends a data acquisition request instruction to the host computer;

[0009] After receiving the data acquisition request instruction, the host computer obtains the accounting data from the local database and sends the pollutant emission data to the accounting App; the accounting data includes the pollutant emission monitoring data obtained by the automatic monitoring equipment and the pollutant emission monitoring data obtained by the manual monitoring equipment;

[0010] The accounting app pre-processes the acquired accounting data, then identifies pollution sources and pollutants, and divides the accounting data into multiple different accounting data sets based on the identification results;

[0011] The accounting app calls multiple pre-stored accounting models based on the recognition results;

[0012] The accounting app grabs accounting guidance data from the environmental protection department’s website;

[0013] The accounting app calls the corresponding accounting model through the accounting method table, and then calculates the pollutant data in the corresponding accounting data set in combination with the accounting guidance data;

[0014] The pollutant emission data includes particulate matter emission data, nitrogen oxide emission data, sulfur dioxide emission data and VOCs emission data. The accounting App stores a pollution table, which includes pollution sources, multiple pollutant names corresponding to the pollution sources, and numbers uniquely corresponding to the pollutant names.

[0015] Preferably, after receiving the data acquisition request instruction, the host computer acquires the accounting data from the local database and sends the pollutant emission data to the accounting App, including:

[0016] The host computer detects whether the automatic monitoring device is in the automatic data collection cycle to determine whether the automatic monitoring device is collecting data. If so, it will feed back the waiting prompt information to the accounting app;

[0017] After receiving the pollutant emission data sent back by the automatic monitoring equipment, the host computer organizes it into pollutant emission monitoring data 1 and stores it in the local database;

[0018] Parse the data acquisition request instruction to obtain the start and end time of the accounting data;

[0019] Obtain the pollutant emission detection data from the start time to the end time from the local database and send it to the accounting app.

[0020] Preferably, after receiving the data acquisition request instruction, the host computer acquires the accounting data from the local database and sends the pollutant emission data to the accounting App, further comprising:

[0021] Establish data connection between the host computer and manual monitoring equipment;

[0022] Get the ID information of the manual monitoring device;

[0023] Obtaining manual monitoring equipment location information;

[0024] Receive pollutant emission data sent back by manual monitoring equipment and determine whether the pollutant data duration meets the preset time length;

[0025] If yes, the pollutant emission data transmitted back is sorted to form pollutant emission detection data 2, which is stored in the local database; otherwise, an unqualified instruction is sent to the manual detection device, and after receiving the unqualified instruction, the manual monitoring device analyzes it and drives the manual monitoring device to collect data again;

[0026] Parse the data acquisition request instruction to obtain the accounting period, where the accounting period includes the start time and end time of the accounting data;

[0027] Obtain pollutant emission detection data 2 from the start time to the end time from the local database and send it to the accounting app.

[0028] Preferably, the host computer detects whether the automatic monitoring device is in the automatic data collection cycle to determine whether the automatic monitoring device is performing data collection. If yes, the host computer feeds back waiting prompt information to the accounting app, including:

[0029] Set the data collection cycle and number of times through the host computer;

[0030] The automatic monitoring equipment installed at different pollution sources automatically collects pollutant emission data according to the data collection cycle and collection times, and sends status feedback values ​​to the upper computer;

[0031] If the state feedback value is 1, it is judged that the automatic monitoring device is transmitting pollutant emission data; if the state value is 0, it is judged that the automatic monitoring device is not transmitting pollutant emission data;

[0032] After obtaining the status feedback value, the host computer checks whether the data acquisition instruction is received;

[0033] If the data acquisition instruction is received when the feedback value is 1, a waiting prompt message is generated and sent to the accounting app;

[0034] If a data acquisition instruction is received when the feedback value is 0, the data acquisition instruction is parsed.

[0035] Preferably, after receiving the pollutant emission data sent back by the automatic monitoring equipment, the host computer organizes and forms pollutant emission monitoring data 1, including:

[0036] The host computer obtains the positioning data and ID information of the automatic monitoring equipment;

[0037] The location data and ID information of the automatic monitoring equipment are added to the pollutant emission data sent back by the automatic monitoring equipment to form the pollutant emission detection data. , Indicates The automatic monitoring equipment corresponds to the Pollutants in the data collection period Emission monitoring data 1;

[0038] in, Respectively represent the The dry exhaust volume of each pollutant during the data collection period, the The average emission concentration of each pollutant during the data collection period, automatic monitoring equipment ID coding, automatic monitoring equipment The coordinates of

[0039] Multiple pollutant emission monitoring data are combined into a pollution emission monitoring data set. ,in, Indicates the number of automatic monitoring devices.

[0040] Preferably, the step of collating the returned pollutant emission data to form pollutant emission detection data 2 and storing the data in a local database includes:

[0041] The host computer obtains the positioning data and ID information of the manual monitoring device;

[0042] Add the location data and ID information of the manual monitoring equipment to the pollutant emission data collected by the manual monitoring equipment to form the pollutant emission detection data II. ;

[0043] Indicates Two pollutant emission monitoring data corresponding to the manual monitoring equipment;

[0044] in, Respectively represent the The measured dry exhaust volume of each pollutant in one collection cycle, the The average emission concentration of a pollutant in a collection period, manual monitoring equipment ID code, manual monitoring equipment The coordinates of

[0045] Multiple pollutant emission monitoring data 2 are combined into a pollution emission monitoring data set 2 ,in Indicates the number of manually monitored devices;

[0046] The accounting app pre-processes the acquired accounting data and then identifies pollution sources and pollutants, including:

[0047] Get the The pollutant emission monitoring data corresponding to each automatic monitoring device and The pollutant emission monitoring data corresponding to the manual monitoring equipment ;

[0048] Extraction pollutant number , call the accounting method table, query the pollutant name according to the pollutant number, and obtain the pollution source through the pollutant name.

[0049] Preferably, the method of dividing the accounting data into a plurality of different accounting data sets according to the recognition results includes:

[0050] According to the pollutant name, the data collected by the automatic monitoring equipment and the data collected by the manual monitoring equipment for the same pollutant are extracted from the pollutant monitoring data set 1 and the pollutant monitoring data set 2 to form the first The calculation vector of a data acquisition cycle is:

[0051] ,in, Indicates the first Minimum number of monitoring times for each pollutant;

[0052] Constructing the calculation data set: ;

[0053] in, ;

[0054] in, Indicates the number of pollutant types, Indicates the number of acquisition cycles, .

[0055] Preferably, the accounting App generates an accounting method table according to the accounting task, calls the corresponding accounting model through the accounting method table, and then calculates the pollutant data in the corresponding accounting data set in combination with the accounting guidance data, including:

[0056] According to the accounting method items in the accounting method table, the accounting model corresponding to the accounting method items is called; the accounting method items include actual measurement method and analogy method;

[0057] No. When the actual measurement method is used to calculate each pollutant, the corresponding calculation model is:

[0058] ;

[0059] in, Indicates the weight of automatic monitoring equipment monitoring and manual monitoring equipment monitoring.

[0060] No. When the analogy method is used to calculate each pollutant, the corresponding accounting model is:

[0061] ,in, is the analogy coefficient, .

[0062] The present invention also provides an atmospheric pollutant fusion accounting system, which is used to execute the atmospheric pollutant fusion accounting method, including a host computer, an intelligent terminal for running an accounting App, a positioning module arranged in an automatic detection device and a manual detection device, a microcontroller arranged in the manual detection device, and a communication module connected to the microcontroller, wherein the communication module is used to connect to the host computer, and the microcontroller is used to drive the manual detection device to collect data.

[0063] The present invention also provides a computer-readable storage medium, which stores a computer program. The computer program is executed by a processor to implement the atmospheric pollutant fusion accounting method.

[0064] Beneficial effects of the present invention:

[0065] 1. In the present invention, after receiving the data acquisition request instruction sent by the accounting App, the host computer first detects whether the automatic monitoring device is in the collection cycle. If the device is collecting data, it will feedback the waiting information to the host computer, which optimizes the data processing process, avoids invalid data processing requests, and ensures the timeliness and accuracy of data collection. The data transmitted back by the automatic monitoring device is organized into pollutant emission monitoring data 1 and stored in the local database. Data connection between the host computer and the manual monitoring device and acquisition of device information. The acquisition of ID information and location of the automatic monitoring device and the manual monitoring device facilitates the classification and subsequent analysis of the data and determines the location of the pollution source. For pollutant data that does not meet the preset time length, re-collection is triggered by sending an unqualified instruction. The present invention combines automatic monitoring and manual monitoring to improve the overall monitoring quality. The introduction of a feedback mechanism for unqualified instructions enhances the accuracy of manual monitoring data.

[0066] 2. In the present invention, the accounting App automatically generates an accounting method table according to specific accounting tasks (industry type, pollution source type, etc.), so that the selected accounting model matches the actual needs. The corresponding accounting model is dynamically called through the accounting method table to adapt to the changing accounting conditions and standards. The actual measurement method accounting model combines the data of automatic monitoring and manual monitoring, and integrates the two types of data through weights, comprehensively utilizing data from different sources, and improving the accuracy and reliability of data accounting. BRIEF DESCRIPTION OF THE DRAWINGS

[0067] Figure 1 The present invention is a flow chart of a method for fusion accounting of atmospheric pollutants. DETAILED DESCRIPTION

[0068] The following description is used to disclose the present invention so that those skilled in the art can implement the present invention. The preferred embodiments described below are only examples, and those skilled in the art can think of other obvious variations. The basic principles of the present invention defined in the following description can be applied to other embodiments, variations, improvements, equivalents, and other technical solutions that do not deviate from the spirit and scope of the present invention.

[0069] It is to be understood that the term "one" should be understood as "at least one" or "one or more", that is, in one embodiment, the number of an element may be one, while in another embodiment, the number of the element may be multiple, and the term "one" should not be understood as a limitation on the quantity.

[0070] refer to Figure 1 The technical solution provided by the present invention is: a method for fusion accounting of atmospheric pollutants, comprising the following steps:

[0071] 1. Obtain the accounting task. The accounting App generates an accounting method table based on the accounting task, and then sends a data acquisition request instruction to the host computer. The accounting App communicates with the host computer through a standard communication protocol.

[0072] The tasks of air pollutant accounting include quantitative analysis, evaluation and control of the emissions of major pollutants, as well as evaluation and data reporting of emission reduction effects, including the following:

[0073] Determination of accounting methods;

[0074] Identification of pollutant types, such as sulfur dioxide (SO2), nitrogen oxides (NOx), carbon monoxide (CO), volatile organic compounds (VOCs), and ammonia (NH3);

[0075] Determine the time and space scope of the accounting, including annual, monthly and daily accounting; the area of ​​accounting, which helps to accurately evaluate the effect of pollution reduction.

[0076] 2. After receiving the data acquisition request instruction, the host computer obtains the accounting data from the local database and sends the pollutant emission data to the accounting App; the accounting data here includes the pollutant emission monitoring data obtained by the automatic monitoring equipment and the pollutant emission monitoring data obtained by the manual monitoring equipment, mainly including obtaining the data of the automatic monitoring equipment and the data of the manual monitoring equipment. The specific steps are as follows:

[0077] 2.1. The host computer detects whether the automatic monitoring equipment is in the automatic collection cycle to determine whether the automatic monitoring equipment is collecting data. If so, it will feedback the waiting prompt information to the accounting App; after receiving the pollutant emission data sent back by the automatic monitoring equipment, the host computer will organize it to form pollutant emission monitoring data 1 and store it in the local database; parse the data acquisition request instruction to obtain the start time and end time of the accounting data; obtain the pollutant emission detection data 1 from the start time to the end time from the local database, and send it to the accounting App.

[0078] 2.2. Establish a data connection between the host computer and the manual monitoring device, and then obtain the ID information and location information of the manual monitoring device; after receiving the pollutant emission data sent back by the manual monitoring device, determine whether the pollutant data duration meets the preset time length. The preset time length here can be determined according to the collection cycle. If the data collection cycle is once every 1 hour, the time length can be set to 1 hour.

[0079] If yes (meets the duration requirement), the returned pollutant emission data will be sorted out to form pollutant emission detection data 2, which will be stored in the local database; otherwise, an unqualified instruction will be sent to the manual detection device, and the manual monitoring device will parse the unqualified instruction after receiving it, and drive the manual monitoring device to re-collect data; finally, the data acquisition request instruction will be parsed to obtain the accounting time period, which includes the start time and end time of the accounting data; the pollutant emission detection data 2 from the start time to the end time will be obtained from the local database, and sent to the accounting App.

[0080] In step 1, when receiving the data acquisition instruction, before sending the data to the accounting app, the following steps need to be performed:

[0081] The collection cycle and collection times are set by the host computer. The automatic monitoring equipment installed at different pollution sources automatically collects the emission data of pollutants according to the collection cycle and collection times, and sends the status feedback value to the host computer;

[0082] If the state feedback value is 1, it is judged that the automatic monitoring device is transmitting pollutant emission data; if the state value is 0, it is judged that the automatic monitoring device is not transmitting pollutant emission data;

[0083] After obtaining the status feedback value, the upper computer checks whether the data acquisition instruction is received; if the data acquisition instruction is received when the feedback value is 1, a waiting prompt message is generated and sent to the accounting app; if the data acquisition instruction is received when the feedback value is 0, the data acquisition instruction is parsed.

[0084] 3. The accounting app pre-processes the acquired accounting data, then identifies pollution sources and pollutants, and divides the accounting data into multiple different accounting data sets based on the identification results. Specifically, the steps include:

[0085] 3.1. Establishing the first pollutant emission monitoring data set: After receiving the pollutant emission data sent back by the automatic monitoring equipment, the host computer organizes and forms the first pollutant emission monitoring data set, including:

[0086] The host computer obtains the positioning data and ID information of the automatic monitoring equipment;

[0087] The location data and ID information of the automatic monitoring equipment are added to the pollutant emission data sent back by the automatic monitoring equipment to form the pollutant emission detection data. , Indicates The automatic monitoring equipment corresponds to the Pollutants in the data collection period Emission monitoring data 1;

[0088] in, Respectively represent the The dry exhaust volume of each pollutant during the data collection period, the The average emission concentration of each pollutant during the data collection period, automatic monitoring equipment ID coding, automatic monitoring equipment The coordinates of

[0089] Multiple pollutant emission monitoring data are combined into a pollution emission monitoring data set. .

[0090] 3.2. Establishing the second pollution emission monitoring data set:

[0091] The host computer obtains the positioning data and ID information of the manual monitoring device;

[0092] Add the location data and ID information of the manual monitoring equipment to the pollutant emission data collected by the manual monitoring equipment to form the pollutant emission detection data II. ;

[0093] Indicates Two pollutant emission monitoring data corresponding to the manual monitoring equipment;

[0094] in, Respectively represent the The measured dry exhaust volume of each pollutant in one collection cycle, the The average emission concentration of a pollutant in a collection period, manual monitoring equipment ID code, manual monitoring equipment The coordinates of

[0095] Multiple pollutant emission monitoring data 2 are combined into a pollution emission monitoring data set 2 ,in Indicates the number of manually monitored devices.

[0096] 3.3. Constructing the accounting data set:

[0097] According to the pollutant name, the data collected by the automatic monitoring equipment and the data collected by the manual monitoring equipment for the same pollutant are extracted from the pollutant monitoring data set 1 and the pollutant monitoring data set 2 to form the first The calculation vector of a data acquisition cycle is:

[0098] ,in, Indicates the first Minimum number of monitoring times for each pollutant;

[0099] Constructing the calculation data set: ;

[0100] in, ;

[0101] in, Indicates the number of pollutant types, Indicates the number of acquisition cycles, .

[0102] 4. The accounting app calls multiple pre-stored accounting models based on the recognition results;

[0103] 5. The accounting app grabs accounting guidance data from the environmental protection department’s website, including pollution source strength accounting guidelines.

[0104] 6. The accounting app generates an accounting method table according to the accounting task, calls the corresponding accounting model through the accounting method table, and then calculates the pollutant data in the corresponding accounting data set in combination with the accounting guidance data, which specifically includes the following steps:

[0105] According to the accounting method items in the accounting method table, the accounting model corresponding to the accounting method items is called; the accounting method items include actual measurement method and analogy method;

[0106] No. When the actual measurement method is used to calculate each pollutant, the corresponding calculation model is:

[0107] ;

[0108] in, It represents the weight of automatic monitoring equipment and manual monitoring equipment. By fusing the manual monitoring data with the automatic detection data, the error of a single data source can be corrected and the accuracy of the accounting data can be improved.

[0109] No. When the analogy method is used to calculate each pollutant, the corresponding accounting model is:

[0110] ,in, is the analogy coefficient, .

[0111] This model is applicable to the analogy method, which is used when the pollutant emission situation can be calculated by analogy with the effective measured data of existing projects that meet the conditions. The specific conditions that need to be met are:

[0112] The fuel, auxiliary materials and by-products are of the same type (in principle, the difference in composition shall not exceed 20%);

[0113] The boiler type and size are the same (in principle, the size difference shall not exceed 30%);

[0114] The pollution control measures are similar, and the designed pollutant removal efficiency is not lower than that of the analogous object.

[0115] The calculation method table refers to Table 1. This embodiment takes the pollution emission of the boiler as an example. Abnormal operating conditions refer to the boiler startup, shutdown and other operating conditions, as well as the pollution prevention and control facilities caused by failures, etc. cannot be put into operation simultaneously or cannot achieve the expected control efficiency. The pollutant emission data includes particulate matter emission data, nitrogen oxide emission data, sulfur dioxide emission data and VOCs emission data. The calculation App stores a pollution table, which includes pollution sources, multiple pollutant names corresponding to the pollution sources, and numbers uniquely corresponding to the pollutant names.

[0116] The present invention also provides an atmospheric pollutant fusion accounting system, which is used to execute the atmospheric pollutant fusion accounting method, including a host computer, an intelligent terminal for running an accounting App, a positioning module arranged in an automatic detection device and a manual detection device, a microcontroller arranged in the manual detection device, and a communication module connected to the microcontroller, wherein the communication module is used to connect to the host computer, and the microcontroller is used to drive the manual detection device to collect data.

[0117] The present invention also provides a computer-readable storage medium, which stores a computer program. The computer program is executed by a processor to implement the atmospheric pollutant fusion accounting method.

[0118] Table 1 Calculation Method

[0119]

[0120] The embodiments disclosed in the present invention, the process described above with reference to the flowchart can be implemented as a computer software program. The embodiments disclosed in the present invention include a computer program product, which includes a computer program carried on a computer-readable medium, and the computer program contains a program code for executing the method shown in the flowchart. In such an embodiment, the computer program can be downloaded and installed from the network through the communication part, and / or installed from a removable medium. When the computer program is executed by the central processing unit (CPU), the above-mentioned functions defined in the method of the present application are executed. It should be noted that the above-mentioned computer-readable medium of the present application can be a computer-readable signal medium or a computer-readable storage medium or any combination of the above two. The computer-readable storage medium can be, for example, but not limited to, a system, device or device of an electrical, magnetic, optical, electromagnetic, infrared segment, or semiconductor, or any combination of the above. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection with one or more wire segments, a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the above. In the present application, a computer-readable storage medium may be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In the present application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, which carries a computer-readable program code. Such propagated data signals may take a variety of forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination of the above. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium, which may send, propagate, or transmit a program for use by or in conjunction with an instruction execution system, apparatus, or device. The program code embodied on the computer readable medium may be transmitted using any appropriate medium, including but not limited to wireless, electrical wire, optical cable, RF, etc., or any suitable combination of the foregoing.

[0121] The flow chart and block diagram in the accompanying drawings illustrate the possible architecture, function and operation of the system, method and computer program product according to various embodiments of the present invention. In this regard, each square box in the flow chart or block diagram can represent a module, a program segment or a part of a code, and the module, the program segment or a part of the code contains one or more executable instructions for realizing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the square box can also occur in a sequence different from that marked in the accompanying drawings. For example, two square boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each square box in the block diagram and / or flow chart, and the combination of the square boxes in the block diagram and / or flow chart can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0122] Those skilled in the art should understand that the embodiments of the present invention described above and shown in the accompanying drawings are only examples and do not limit the present invention. The objectives of the present invention have been fully and effectively achieved. The functional and structural principles of the present invention have been demonstrated and explained in the embodiments. Without departing from the principles, the implementation methods of the present invention may be deformed or modified in any way.

Claims

1. A method for fusion accounting of atmospheric pollutants, characterized in that: The method comprises: Obtaining an accounting task, the accounting App generates an accounting method table according to the accounting task; the accounting task includes the selection of an accounting method, the determination of an accounting scope, and the types of pollutants, and the determination of a time range and a spatial range for the accounting; The accounting app sends a data acquisition request instruction to the host computer; After receiving the data acquisition request instruction, the host computer obtains the accounting data from the local database and sends the pollutant emission data to the accounting App; the accounting data includes the pollutant emission monitoring data obtained by the automatic monitoring equipment and the pollutant emission monitoring data obtained by the manual monitoring equipment; The accounting app pre-processes the acquired accounting data, then identifies pollution sources and pollutants, and divides the accounting data into multiple different accounting data sets based on the identification results; The accounting app calls multiple pre-stored accounting models based on the recognition results; The accounting app grabs accounting guidance data from the environmental protection department’s website; The accounting app calls the corresponding accounting model through the accounting method table, and then calculates the pollutant data in the corresponding accounting data set in combination with the accounting guidance data; specifically: According to the accounting method items in the accounting method table, the accounting model corresponding to the accounting method items is called; the accounting method items include actual measurement method and analogy method; No. When the actual measurement method is used to calculate each pollutant, the corresponding calculation model is: ; in, Indicates the weight of automatic monitoring equipment monitoring and manual monitoring equipment monitoring; Respectively represent the pollutants in one collection cycle Internal automatic monitoring equipment The measured dry exhaust volume and the standard state pollutants in one collection cycle Internal automatic monitoring equipment The average emission concentration measured; Indicates the number of automatic monitoring devices, Indicates the number of acquisition cycles; Respectively represent the pollutants in the data collection period Internal manual monitoring equipment Measured dry exhaust volume, standard state pollutants in the data collection period Internal manual monitoring equipment The average emission concentration measured; Indicates the number of manually monitored devices; No. When the analogy method is used to calculate each pollutant, the corresponding accounting model is: ,in, is the analogy coefficient, ; Indicates The output value of the accounting model corresponding to each pollutant when the analogy method is used for accounting; The pollutant emission data includes particulate matter emission data, nitrogen oxide emission data, sulfur dioxide emission data and VOCs emission data. The accounting App stores a pollution table, which includes pollution sources, multiple pollutant names corresponding to the pollution sources, and numbers uniquely corresponding to the pollutant names.

2. The method for fusion accounting of atmospheric pollutants according to claim 1 is characterized in that: After receiving the data acquisition request instruction, the host computer obtains the accounting data from the local database and sends the pollutant emission data to the accounting App, including: The host computer detects whether the automatic monitoring device is in the automatic data collection cycle to determine whether the automatic monitoring device is collecting data. If so, it will feed back the waiting prompt information to the accounting app; After receiving the pollutant emission data sent back by the automatic monitoring equipment, the host computer organizes it into pollutant emission monitoring data 1 and stores it in the local database; Parse the data acquisition request instruction to obtain the start and end time of the accounting data; Obtain the pollutant emission detection data from the start time to the end time from the local database and send it to the accounting app.

3. The method for fusion accounting of atmospheric pollutants according to claim 2 is characterized in that: After receiving the data acquisition request instruction, the host computer acquires the accounting data from the local database and sends the pollutant emission data to the accounting App, which also includes: Establish data connection between the host computer and manual monitoring equipment; Get the ID information of the manual monitoring device; Get the location information of manual monitoring equipment; Receive pollutant emission data sent back by manual monitoring equipment and determine whether the pollutant data duration meets the preset time length; If yes, the pollutant emission data transmitted back is sorted to form pollutant emission detection data 2, which is stored in the local database; otherwise, an unqualified instruction is sent to the manual detection device, and after receiving the unqualified instruction, the manual monitoring device analyzes it and drives the manual monitoring device to collect data again; Parse the data acquisition request instruction to obtain the accounting period, where the accounting period includes the start time and end time of the accounting data; Obtain pollutant emission detection data 2 from the start time to the end time from the local database and send it to the accounting app.

4. The method for fusion accounting of atmospheric pollutants according to claim 3 is characterized in that: The host computer detects whether the automatic monitoring device is in the automatic data collection cycle to determine whether the automatic monitoring device is performing data collection. If yes, the host computer feeds back waiting prompt information to the accounting app, including: Set the data collection cycle and number of times through the host computer; The automatic monitoring equipment installed at different pollution sources automatically collects pollutant emission data according to the data collection cycle and collection times, and sends status feedback values ​​to the upper computer; If the state feedback value is 1, it is judged that the automatic monitoring device is transmitting pollutant emission data; if the state value is 0, it is judged that the automatic monitoring device is not transmitting pollutant emission data; After obtaining the status feedback value, the host computer checks whether the data acquisition instruction is received; If the data acquisition instruction is received when the feedback value is 1, a waiting prompt message is generated and sent to the accounting app; If a data acquisition instruction is received when the feedback value is 0, the data acquisition instruction is parsed.

5. The method for fusion accounting of atmospheric pollutants according to claim 4 is characterized in that: After receiving the pollutant emission data sent back by the automatic monitoring equipment, the host computer organizes the pollutant emission monitoring data to form pollutant emission monitoring data 1, including: The host computer obtains the positioning data and ID information of the automatic monitoring equipment; The location data and ID information of the automatic monitoring equipment are added to the pollutant emission data sent back by the automatic monitoring equipment to form the pollutant emission detection data. , Indicates The automatic monitoring equipment corresponds to the Pollutants in the data collection period Emission monitoring data 1; in, Respectively represent automatic monitoring equipment ID coding, automatic monitoring equipment The coordinates of Multiple pollutant emission monitoring data are combined into a pollution emission monitoring data set. ,in Indicates the number of automatic monitoring devices.

6. The method for fusion accounting of atmospheric pollutants according to claim 5 is characterized in that: The pollutant emission data transmitted back is sorted to form pollutant emission detection data 2, which is stored in a local database, including: The host computer obtains the positioning data and ID information of the manual monitoring device; Add the location data and ID information of the manual monitoring equipment to the pollutant emission data collected by the manual monitoring equipment to form the pollutant emission detection data II. ; Indicates Two pollutant emission monitoring data corresponding to the manual monitoring equipment; in, Respectively represent manual monitoring equipment ID code, manual monitoring equipment The coordinates of Multiple pollutant emission monitoring data 2 are combined into a pollution emission monitoring data set 2 ,in Indicates the number of manually monitored devices; The accounting app pre-processes the acquired accounting data and then identifies pollution sources and pollutants, including: Get the The pollutant emission monitoring data corresponding to each automatic monitoring device and The pollutant emission monitoring data corresponding to the manual monitoring equipment ; Extraction pollutant number , call the accounting method table, query the pollutant name according to the pollutant number, and obtain the pollution source through the pollutant name.

7. The method for fusion accounting of atmospheric pollutants according to claim 6 is characterized in that: The accounting data is divided into a plurality of different accounting data sets according to the recognition results, including: According to the pollutant name, the data collected by the automatic monitoring equipment and the data collected by the manual monitoring equipment for the same pollutant are extracted from the pollutant monitoring data set 1 and the pollutant monitoring data set 2 to form the first The calculation vector of a data acquisition cycle is: ,in, Indicates the first Minimum number of monitoring times for each pollutant; Constructing the calculation data set: ; in, ; in, Indicates the number of pollutant types, Indicates the number of acquisition cycles, .

8. A fusion accounting system for atmospheric pollutants, the system being used to execute a fusion accounting method for atmospheric pollutants as described in any one of claims 1 to 7, characterized in that: It includes a host computer, an intelligent terminal for running a calculation app, a positioning module arranged in an automatic detection device and a manual detection device, a microcontroller arranged in the manual detection device, and a communication module connected to the microcontroller. The communication module is used to connect to the host computer, and the microcontroller is used to drive the manual detection device to collect data.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, and the computer program is executed by a processor to implement an atmospheric pollutant fusion accounting method as described in any one of claims 1 to 7.

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