Graph-based environment monitoring parameter generation method and device, equipment and medium

Abstract

The invention discloses a graph-based environmental monitoring parameter generation method and device, equipment and a medium, and relates to the technical field of environmental monitoring, and the method comprises the steps: obtaining pollution monitoring information, and determining pollution classification information according to the pollution monitoring information; according to the pollution classification information, acceptance standard information is determined; on the basis of the acceptance standard information, carrying out acceptance on the pollution monitoring information, and determining actual environment parameters; acquiring industrial solid waste information, and determining ideal environmental parameters based on the industrial solid waste information; determining final environment parameters according to the ideal environment parameters and the actual environment parameters; and obtaining personalized information, and determining an environmental parameter graph based on the personalized information and the final environmental parameters. The monitoring parameter generation accuracy can be improved.

Description

Technical Field

[0001] The present application relates to the field of environmental monitoring technology, and in particular to a method, device, equipment and medium for generating environmental monitoring parameters based on graphics. Background Art

[0002] With the development of the construction industry and the rise of environmental awareness, reducing and reusing industrial solid waste generated after construction projects is a key measure to reduce environmental burdens. At the same time, environmental protection acceptance monitoring after the completion of environmental protection projects is an important step in ensuring that projects meet environmental protection requirements and safeguard the ecological environment. Therefore, how to automatically generate environmental monitoring parameters has become a hot topic of current research.

[0003] The traditional method of generating environmental monitoring parameters mainly relies on manual experience. Technical personnel analyze and process the monitoring data, compile an acceptance report based on the analysis results, and determine the final environmental parameters.

[0004] However, traditional environmental monitoring parameter generation methods mainly rely on manual labor and the technicians' own work experience, which affects the accuracy of monitoring parameter generation, and the drawn graphics are difficult to meet the personalized needs of different users for interpreting environmental information. Summary of the Invention

[0005] In order to improve the accuracy of monitoring parameter generation, the present application provides a method, device, equipment and medium for generating environmental monitoring parameters based on graphics.

[0006] In a first aspect, the present application provides a method for generating environmental monitoring parameters based on graphics, which adopts the following technical solutions:

[0007] A method for generating environmental monitoring parameters based on graphics, comprising:

[0008] Obtaining pollution monitoring information, and determining pollution classification information based on the pollution monitoring information;

[0009] Determining acceptance criteria information based on the pollution classification information;

[0010] Based on the acceptance standard information, the pollution monitoring information is accepted to determine the actual environmental parameters;

[0011] obtaining industrial solid waste information, and determining ideal environmental parameters based on the industrial solid waste information;

[0012] Determining final environmental parameters according to the ideal environmental parameters and the actual environmental parameters;

[0013] Personalized information is acquired, and an environmental parameter graph is determined based on the personalized information and the final environmental parameters.

[0014] By adopting the above technical solution, the acquired pollution monitoring information is analyzed and processed to determine the corresponding pollution classification information, thereby achieving a systematic and accurate sorting of different types of pollution; then, based on the pollution classification information, the acceptance standard information is determined; based on the acceptance standard information, the pollution monitoring information is accepted and the actual environmental parameters are determined, thereby accurately evaluating the current actual environmental parameters of industrial solid waste after the two-chemical treatment; at the same time, the acquired industrial solid waste information is simulated and evaluated to determine the ideal environmental parameters corresponding to the ideal state; then, by combining the ideal environmental parameters and the actual environmental parameters, the final environmental parameters are determined, thereby achieving verification of the actual environmental parameters and improving the accuracy of the monitoring parameters; based on the acquired personalized information and the final environmental parameters, the parameter graph is personalized and drawn to obtain the environmental parameter graph; thereby improving the accuracy of the monitoring parameter generation.

[0015] In a possible implementation, determining acceptance criteria information based on the pollution classification information includes:

[0016] Determining classification keywords based on the pollution classification information;

[0017] Determining quantity information of each of the classification keywords;

[0018] Determining weight information of each of the classification keywords based on the quantity information;

[0019] If the weight information is greater than the preset weight information, determining the classification keyword as the keyword to be compared;

[0020] Obtaining acceptance criteria information, and determining acceptance keywords based on the acceptance criteria information;

[0021] Determining the degree of repetition based on the keywords to be compared and the acceptance keywords;

[0022] If the repetition degree is greater than a preset repetition degree, the acceptance criterion information is determined to be the acceptance standard information.

[0023] In one possible implementation, based on the acceptance standard information, the pollution monitoring information is accepted to determine the actual environmental parameters, including:

[0024] Determining acceptance data information based on the acceptance standard information;

[0025] Determine a pollutant acceptance plan based on the acceptance data information;

[0026] Determining the completeness of the monitoring information based on the pollution monitoring information;

[0027] If the completeness of the monitoring information is greater than the preset completeness of the monitoring information, the actual environmental parameters are determined based on the pollutant acceptance plan.

[0028] In a possible implementation, determining ideal environmental parameters based on the industrial solid waste information includes:

[0029] Acquire industrial solid waste treatment information, and determine two-industry transformation plans based on the industrial solid waste treatment information;

[0030] Based on the two-industry solutions, build a two-industry simulation model;

[0031] Inputting the industrial solid waste information into the two-industry simulation model to determine ideal pollutant information;

[0032] The ideal environmental parameters are determined according to the ideal pollutant information.

[0033] In a possible implementation, determining the final environmental parameters according to the ideal environmental parameters and the actual environmental parameters includes:

[0034] Based on the ideal environmental parameters, determining ideal parameter details;

[0035] Drawing an ideal parameter image according to the ideal parameter details;

[0036] Based on the actual environmental parameters, determining actual parameter details;

[0037] Drawing an actual parameter image according to the actual parameter details;

[0038] determining an image coincidence degree based on the ideal parameter image and the actual parameter image;

[0039] If the image overlap is greater than a preset image overlap, the actual environmental parameter is determined to be the final environmental parameter.

[0040] In a possible implementation, the determining of the final environmental parameters further includes:

[0041] Obtain local environmental information;

[0042] Building a verification model based on the local environmental information;

[0043] Inputting the final environmental parameters into the verification model to determine the simulation success rate;

[0044] If the simulation success rate is greater than the preset success rate, a verification result is generated and fed back for display.

[0045] In a possible implementation, determining an environmental parameter graph based on the personalized information and the final environmental parameter includes:

[0046] The personalized information is the specific demand information of different staff members for the environmental parameter graph;

[0047] Determining user preference information, key focus information, and usage scenario information based on the personalized information;

[0048] Determining the marked environmental parameters according to the user preference information, the key attention information, and the final environmental parameters;

[0049] Determining a graphic type according to the usage scenario information;

[0050] The environmental parameter graph is drawn according to the marked environmental parameter and the graph type.

[0051] In a second aspect, the present application provides a device for generating environmental monitoring parameters based on graphics, which adopts the following technical solution:

[0052] A device for generating environmental monitoring parameters based on graphics includes: a pollution classification information determination module, an acceptance standard information determination module, an actual environmental parameter determination module, an ideal environmental parameter determination module, a final environmental parameter determination module, and an environmental parameter graphics determination module, wherein:

[0053] A pollution classification information determination module is used to obtain pollution monitoring information and determine pollution classification information based on the pollution monitoring information;

[0054] An acceptance standard information determination module, configured to determine acceptance standard information based on the pollution classification information;

[0055] An actual environmental parameter determination module, configured to accept the pollution monitoring information based on the acceptance standard information and determine actual environmental parameters;

[0056] an ideal environmental parameter determination module, configured to obtain industrial solid waste information and determine ideal environmental parameters based on the industrial solid waste information;

[0057] A final environmental parameter determination module, configured to determine final environmental parameters based on the ideal environmental parameters and the actual environmental parameters;

[0058] The environmental parameter graph determination module is used to obtain personalized information and determine the environmental parameter graph based on the personalized information and the final environmental parameters.

[0059] By adopting the above technical solution, the pollution classification information determination module analyzes and processes the acquired pollution monitoring information to determine the corresponding pollution classification information, thereby achieving systematic and accurate sorting of different types of pollution; then the acceptance standard information determination module determines the acceptance standard information based on the pollution classification information; the actual environmental parameter determination module accepts the pollution monitoring information based on the acceptance standard information and determines the actual environmental parameters, thereby accurately evaluating the current actual environmental parameters of industrial solid waste after two-chemical treatment; at the same time, the ideal environmental parameter determination module simulates and evaluates the acquired industrial solid waste information to determine the ideal environmental parameters corresponding to the ideal state; then the final environmental parameter determination module determines the final environmental parameters by combining the ideal environmental parameters and the actual environmental parameters, thereby achieving verification of the actual environmental parameters and improving the accuracy of the monitoring parameters; the environmental parameter graphic determination module draws personalized graphic parameters based on the acquired personalized information and the final environmental parameters to obtain the environmental parameter graphic, thereby improving the accuracy of monitoring parameter generation.

[0060] In a possible implementation, the acceptance standard information determination module includes: a classification keyword determination unit, a quantity information determination unit, a weight information determination unit, a to-be-compared keyword determination unit, an acceptance keyword determination unit, a repetition determination unit, and an acceptance standard information determination unit, wherein:

[0061] a classification keyword determining unit, configured to determine a classification keyword based on the pollution classification information;

[0062] a quantity information determining unit, configured to determine the quantity information of each of the classification keywords;

[0063] a weight information determining unit, configured to determine weight information of each of the classification keywords based on the quantity information;

[0064] a to-be-compared keyword determining unit, configured to determine the classification keyword as a to-be-compared keyword if the weight information is greater than the preset weight information;

[0065] an acceptance keyword determination unit, configured to obtain acceptance criteria information and determine acceptance keywords based on the acceptance criteria information;

[0066] a repetition determination unit, configured to determine a repetition based on the keywords to be compared and the acceptance keywords;

[0067] The acceptance standard information determining unit is configured to determine that the acceptance criterion information is the acceptance standard information if the repetition degree is greater than a preset repetition degree.

[0068] In a possible implementation, the actual environmental parameter determination module includes: an acceptance data information determination unit, a pollutant acceptance plan determination unit, a monitoring information integrity determination unit, and an actual environmental parameter determination unit, wherein:

[0069] an acceptance data information determining unit, configured to determine the acceptance data information based on the acceptance standard information;

[0070] A pollutant acceptance plan determination unit, configured to determine a pollutant acceptance plan based on the acceptance data information;

[0071] a monitoring information integrity determination unit, configured to determine the integrity of the monitoring information based on the pollution monitoring information;

[0072] The actual environmental parameter determination unit is used to determine the actual environmental parameters based on the pollutant acceptance plan if the monitoring information integrity is greater than the preset monitoring information integrity.

[0073] In a possible implementation, the ideal environmental parameter determination module includes: a two-industry solution determination unit, a two-industry simulation model building unit, an ideal pollutant information determination unit, and an ideal environmental parameter determination unit, wherein:

[0074] A two-industry waste treatment plan determination unit, configured to obtain industrial solid waste treatment information and determine two-industry waste treatment plans based on the industrial solid waste treatment information;

[0075] A two-industry simulation model building unit, used to build a two-industry simulation model based on the two-industry solution;

[0076] an ideal pollutant information determining unit, configured to input the industrial solid waste information into the two-industry simulation model to determine ideal pollutant information;

[0077] The ideal environmental parameter determination unit is configured to determine the ideal environmental parameter according to the ideal pollutant information.

[0078] In a possible implementation, the final environmental parameter determination module includes: an ideal parameter detail determination unit, an ideal parameter image drawing unit, an actual parameter detail determination unit, an actual parameter image drawing unit, an image coincidence determination unit, and a final environmental parameter determination unit, wherein:

[0079] an ideal parameter detail determining unit, configured to determine an ideal parameter detail based on the ideal environmental parameters;

[0080] an ideal parameter image drawing unit, configured to draw an ideal parameter image according to the ideal parameter details;

[0081] an actual parameter detail determining unit, configured to determine actual parameter details based on the actual environment parameters;

[0082] An actual parameter image drawing unit, configured to draw an actual parameter image according to the actual parameter details;

[0083] an image coincidence determination unit, configured to determine an image coincidence based on the ideal parameter image and the actual parameter image;

[0084] The final environmental parameter determining unit is configured to determine the actual environmental parameter as the final environmental parameter if the image overlap is greater than a preset image overlap.

[0085] In a possible implementation, the graphic-based environment monitoring parameter generation device further includes: a local environment information acquisition module, a verification model construction module, a simulation success rate determination module, and a feedback module, wherein:

[0086] Local environment information acquisition module, used to obtain local environment information;

[0087] A verification model building module, configured to build a verification model based on the local environment information;

[0088] a simulation success rate determination module, configured to input the final environmental parameters into the verification model to determine a simulation success rate;

[0089] The feedback module is used to generate a verification result and display the feedback if the simulation success rate is greater than a preset success rate.

[0090] In a possible implementation, the environment parameter graphic determination module includes: a first information determination unit, a marked environment parameter determination unit, a graphic type determination unit, and an environment parameter graphic drawing unit, wherein:

[0091] The personalized information is the specific demand information of different staff members for the environmental parameter graph;

[0092] a first information determining unit, configured to determine user preference information, key information, and usage scenario information based on the personalized information;

[0093] a marking environment parameter determining unit, configured to determine the marking environment parameters according to the user preference information, the key attention information, and the final environment parameters;

[0094] a graphic type determining unit, configured to determine a graphic type according to the usage scenario information;

[0095] The environmental parameter graph drawing unit is used to draw the environmental parameter graph according to the marked environmental parameter and the graph type.

[0096] In a third aspect, the present application provides an electronic device, which adopts the following technical solution:

[0097] An electronic device, comprising:

[0098] at least one processor;

[0099] Memory;

[0100] At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute the above-mentioned graphic-based environment monitoring parameter generation method.

[0101] In a fourth aspect, the present application provides a computer-readable storage medium, which adopts the following technical solution:

[0102] A computer-readable storage medium includes: a computer program that can be loaded by a processor and execute the above-mentioned graphic-based environmental monitoring parameter generation method.

[0103] In summary, this application has the following beneficial technical effects:

[0104] By analyzing and processing the acquired pollution monitoring information, the corresponding pollution classification information is determined, thereby achieving a systematic and accurate sorting of different types of pollution; then, based on the pollution classification information, the acceptance standard information is determined; based on the acceptance standard information, the pollution monitoring information is accepted and the actual environmental parameters are determined, thereby accurately evaluating the current actual environmental parameters of industrial solid waste after the two-chemical treatment; at the same time, the acquired industrial solid waste information is simulated and evaluated to determine the ideal environmental parameters corresponding to the ideal state; then, by combining the ideal environmental parameters and the actual environmental parameters, the final environmental parameters are determined, thereby achieving verification of the actual environmental parameters and improving the accuracy of the monitoring parameters; based on the acquired personalized information and the final environmental parameters, the parameter graph is personalized and drawn to obtain the environmental parameter graph; thereby improving the accuracy of the monitoring parameter generation. BRIEF DESCRIPTION OF THE DRAWINGS

[0105] Figure 1 It is a flowchart of the method for generating environmental monitoring parameters based on graphics of the present application;

[0106] Figure 2 It is a block diagram of the device for generating environmental monitoring parameters based on graphics of the present application;

[0107] Figure 3 It is a schematic diagram of an electronic device according to an embodiment of the present application. DETAILED DESCRIPTION

[0108] The following is combined with Figure 1-3 This application is described in further detail.

[0109] To make the purpose, technical solutions, and advantages of the embodiments of this application more clear, the technical solutions in the embodiments of this application will be clearly and completely described below in conjunction with the drawings in the embodiments of this application. Obviously, the described embodiments are part of the embodiments of this application, not all of the embodiments. Based on the embodiments in this application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0110] The embodiments of the present application provide a method for generating environmental monitoring parameters based on a graph, which is executed by an electronic device, which may be a server or a terminal device. The server may be an independent physical server, a server cluster or distributed device composed of multiple physical servers, or a cloud server providing cloud computing services. The terminal device may be a smartphone, a tablet computer, a laptop computer, a desktop computer, etc., but is not limited thereto. The terminal device and the server may be directly or indirectly connected via wired or wireless communication, which is not limited in the embodiments of the present application.

[0111] Reference Figure 1 The method includes: step S101, step S102, step S103, step S104, step S105 and step S106, wherein:

[0112] Step S101: Acquire pollution monitoring information, and determine pollution classification information based on the pollution monitoring information.

[0113] Specifically, after the reduction and resource utilization of industrial solid waste, the staff will install corresponding monitoring equipment at the corresponding locations where environmental protection acceptance monitoring is required. When the industrial solid waste is reduced and resourced, the monitoring equipment will transmit the pollution monitoring information to the electronic equipment; after receiving the pollution monitoring information, the electronic equipment will classify the pollution monitoring information according to the specific requirements of the acceptance and determine the pollution classification information.

[0114] Step S102: Determine acceptance criteria information based on pollution classification information.

[0115] Specifically, after the electronic device determines the pollution classification information, the electronic device establishes a classification repository based on the pollution classification information, and stores each pollution classification information in the corresponding classification repository; after the electronic device receives the acceptance criteria information transmitted by the staff, the electronic device then extracts keywords from the pollution classification information and the acceptance criteria information, and compares the extracted keywords to determine the acceptance standard information corresponding to each pollution classification information.

[0116] Step S103: Based on the acceptance standard information, the pollution monitoring information is accepted to determine the actual environmental parameters.

[0117] Specifically, the electronic device analyzes and organizes the acceptance standard information to verify its completeness and accuracy. It then categorizes and organizes the acceptance standard information by pollutant type, emission source, and monitoring location to facilitate subsequent analysis and comparison. For example, the electronic device categorizes different pollutants in exhaust gas and compiles separate statistics for emissions from different production plants or treatment facilities. The electronic device calculates key indicators such as the average emission concentration, total emissions, and resource recovery rate for each type of pollutant. The electronic device also stores the calculated key indicators in a time series, analyzing their changing trends and observing any abnormal fluctuations. The electronic device compares the analyzed pollution monitoring information with the corresponding indicators in the acceptance standard information, determining whether each pollutant's emissions exceed the limit and whether the resource recovery indicators meet the specified requirements. The electronic device then accepts the pollution monitoring information and generates the corresponding actual environmental parameters. The electronic device compiles the pollution monitoring information, analysis results, and determined actual environmental parameters during the acceptance process into an acceptance report, which is then fed back to the staff on a display device.

[0118] Step S104: Acquire industrial solid waste information, and determine ideal environmental parameters based on the industrial solid waste information.

[0119] In the embodiments of the present application, the two types of processing are abbreviations of reduction processing and resource processing.

[0120] Specifically, when the environmental protection acceptance of the completion of the intelligent reduction and resource utilization project of industrial solid waste is initiated, the monitoring equipment will transmit the industrial solid waste information to the electronic equipment, such as the type, composition, physical properties and chemical properties of the waste; after receiving the industrial solid waste information, the electronic equipment will calculate the environmental parameters for the current industrial solid waste information, and at the same time build a two-in-one simulation model based on the current situation, and input the industrial solid waste information into the built two-in-one simulation model, so as to output the corresponding environmental parameters under ideal conditions after two-in-one treatment for acceptance, and obtain the ideal environmental parameters.

[0121] Step S105: Determine final environmental parameters based on the ideal environmental parameters and the actual environmental parameters.

[0122] Specifically, the electronic device matches the ideal environmental parameters with the actual environmental parameters respectively, and compares the successfully matched ideal environmental parameters and the actual environmental parameters to clarify the degree of difference of each indicator; then the electronic device compares the degree of difference with the preset standard. If the degree of difference is greater than the preset standard, it means that the actual environmental parameters are significantly different from the ideal environmental parameters at this time. Then the electronic device repeats steps S101 to S103 until the degree of difference is less than or equal to the preset standard; if the degree of difference is less than or equal to the preset standard, the electronic device will determine the corresponding actual environmental parameters as the final environmental parameters.

[0123] Step S106: Obtain personalized information, and determine an environmental parameter graph based on the personalized information and the final environmental parameters.

[0124] In the embodiment of the present application, the personalized information is the specific demand information of different staff members for environmental parameter graphics.

[0125] Specifically, after receiving the personalized information transmitted by the staff, the electronic device selects the appropriate graphic type based on the personalized information; at the same time, the electronic device draws the final environmental parameters, draws the parameter graphic corresponding to the graphic type selected in the early stage, and sets it as the environmental parameter graphic.

[0126] The embodiment of the present application provides a graphic-based environmental monitoring parameter generation method, which analyzes and processes the acquired pollution monitoring information to determine the corresponding pollution classification information, thereby achieving systematic and accurate sorting of different types of pollution; then, based on the pollution classification information, the acceptance standard information is determined; based on the acceptance standard information, the pollution monitoring information is accepted and the actual environmental parameters are determined, thereby accurately evaluating the current actual environmental parameters of industrial solid waste after two-chemical treatment; at the same time, the acquired industrial solid waste information is simulated and evaluated to determine the ideal environmental parameters corresponding to the ideal state; then, by combining the ideal environmental parameters and the actual environmental parameters, the final environmental parameters are determined, thereby achieving verification of the actual environmental parameters and improving the accuracy of the monitoring parameters; based on the acquired personalized information and the final environmental parameters, the parameter graph is personalized and drawn to obtain the environmental parameter graph; thereby improving the accuracy of monitoring parameter generation.

[0127] According to the pollution classification information, the acceptance standard information is determined, including: determining the classification keywords according to the pollution classification information; determining the quantity information of each classification keyword; determining the weight information of each classification keyword based on the quantity information; if the weight information is greater than the preset weight information, determining the classification keyword as the keyword to be compared; obtaining the acceptance criteria information, and determining the acceptance keywords according to the acceptance criteria information; determining the repetition based on the keyword to be compared and the acceptance keyword; if the repetition is greater than the preset repetition, determining the acceptance criteria information as the acceptance standard information.

[0128] In the embodiment of the present application, repetition includes quantitative repetition and semantic repetition.

[0129] Specifically, after receiving the pollution classification information, the electronic device extracts keywords from the pollutant classification information based on the pollutant nouns to obtain classification keywords; then the electronic device counts the number of times the classification keywords appear in the pollution classification information to determine the quantity information corresponding to each classification keyword; then the electronic device divides the quantity information corresponding to each classification keyword by the quantity information corresponding to all the classification keywords of the pollution classification information to calculate the weight information corresponding to each classification keyword; if the weight information of the classification keywords corresponding to the pollutant classification information is consistent, the electronic device deletes the classification keyword.

[0130] Furthermore, the electronic device calculates the preset weight information based on the historical project reports that have successfully passed the acceptance; then the electronic device compares the weight information with the preset weight information. If the weight information is greater than the preset weight information, then the electronic device sets the classification keyword corresponding to the weight information as the keyword to be compared; if the weight information is less than or equal to the preset weight information, it means that although the classification keyword appears many times in the pollution classification information, it cannot be used as a representative to enter the subsequent comparison link, thereby realizing the screening of the classification keyword; then the electronic device extracts the acceptance criteria information from the relevant documents, standards and regulations transmitted by the staff, and at the same time, the electronic device uses text analysis and keyword extraction methods to compare the acceptance criteria information according to the pollutant nouns Keyword extraction is performed, and the electronic device sets the keyword as the acceptance keyword; the electronic device counts the number of repeated keywords, divides the total number of the keywords to be compared and the acceptance keywords (after deduplication) to obtain the quantitative repetition, and at the same time the electronic device performs semantic analysis on the keywords to be compared and the acceptance keywords to determine the semantic repetition between the keywords to be compared and the acceptance keywords; then the electronic device combines the quantitative repetition and the semantic repetition to determine the repetition between the keywords to be compared and the acceptance keywords; the electronic device compares the repetition with the preset repetition. If the repetition is greater than the preset repetition, it means that the acceptance criterion information has a high correlation with the pollution classification information, and then the electronic device sets it as the acceptance standard information.

[0131] Based on the acceptance standard information, the pollution monitoring information is accepted to determine the actual environmental parameters, including: determining the acceptance data information based on the acceptance standard information; determining the pollutant acceptance plan based on the acceptance data information; determining the completeness of the monitoring information based on the pollution monitoring information; if the completeness of the monitoring information is greater than the preset monitoring information completeness, then determining the actual environmental parameters based on the pollutant acceptance plan.

[0132] In the embodiment of the present application, the acceptance standard information package includes emission limits of pollutants, environmental quality standards, monitoring methods and other regulations.

[0133] Specifically, the electronic device interprets the acceptance criteria information, identifies the data items that need to be monitored and evaluated, and sets them as acceptance data. Based on this acceptance data, the electronic device then develops a specific pollutant acceptance plan. This pollutant acceptance plan includes the placement of monitoring points to ensure they comprehensively and accurately reflect the distribution of pollutants in the acceptance area. For example, during a factory air pollution acceptance, monitoring points should be located upwind and downwind of the factory, as well as in sensitive surrounding areas. During noise pollution acceptance, due to noise interference between adjacent factory buildings, the company has signed a noise waiver agreement with businesses to the east and north (since no businesses have yet moved into the north building, a waiver was signed with the landlord). Therefore, monitoring points are set at the south and west boundaries of the factory building. Furthermore, considering the noise impact on the north side of the factory, a monitoring point is also set at the north boundary of the factory. The electronic device also determines the corresponding monitoring frequency based on the acceptance data information, arranging the monitoring interval appropriately according to the pollutant emission characteristics and the acceptance criteria. For pollutants with relatively stable emissions, the monitoring frequency can be appropriately reduced; for pollutants with larger emission fluctuations, the monitoring frequency should be increased. Electronic equipment selects appropriate monitoring methods and instruments to ensure the accuracy and reliability of monitoring data.

[0134] Furthermore, the electronic device analyzes and processes the existing pollution monitoring information to assess its completeness. It analyzes whether the pollution monitoring information covers all pollutant items specified in the acceptance criteria and whether there is any missing data for monitoring periods or monitoring points. The electronic device then calculates the completeness of the monitoring information. For example, the actual amount of valid monitoring data obtained is divided by the total amount of monitoring data that should be obtained, resulting in a percentage value as a measure of the completeness of the monitoring information. Assuming that 100 data points should be monitored and 80 valid data points are actually obtained, the monitoring information completeness is 80%. The electronic device compares the monitoring information completeness with the preset monitoring information completeness. If the monitoring information completeness is greater than the preset monitoring information completeness, it indicates that the existing pollution monitoring information is relatively complete and can be further analyzed and processed based on the pollutant acceptance plan. The electronic device then uses the pollutant acceptance plan to perform data acceptance on the pollution monitoring information and determine the actual environmental parameters.

[0135] Based on industrial solid waste information, ideal environmental parameters are determined, including: obtaining industrial solid waste treatment information, and determining the two-industry plan based on the industrial solid waste treatment information; building a two-industry simulation model based on the two-industry plan; inputting industrial solid waste information into the two-industry simulation model to determine ideal pollutant information; and determining ideal environmental parameters based on the ideal pollutant information.

[0136] Specifically, when the environmental protection acceptance of the completion of the intelligent reduction and resource utilization project of industrial solid waste is initiated, the monitoring equipment will transmit the industrial solid waste information to the electronic equipment, such as the type, composition, physical properties and chemical properties of the waste; the electronic equipment determines the two-in-one scheme by analyzing and processing the industrial solid waste treatment information; the electronic equipment determines the basic framework of the two-in-one simulation model based on the process flow and key links of the two-in-one scheme, including input module, processing module, output module, etc. At the same time, the electronic equipment sets the parameters of the two-in-one simulation model based on historical data and historical experience in the actual treatment process, and calibrates and verifies the model by comparing it with historical actual operation data, so as to ensure that the two-in-one simulation model can accurately reflect the actual operation of the two-in-one scheme; then the electronic equipment inputs the industrial solid waste information into the two-in-one simulation model, conducts a simulation experiment, and sets the pollutant information finally input by the experiment as the ideal pollutant information; the electronic equipment simulates and accepts the ideal pollutant information to determine the final ideal environmental parameters.

[0137] The final environmental parameters are determined based on the ideal environmental parameters and the actual environmental parameters, including: determining the ideal parameter details based on the ideal environmental parameters; drawing the ideal parameter image based on the ideal parameter details; determining the actual parameter details based on the actual environmental parameters; drawing the actual parameter image based on the actual parameter details; determining the image coincidence based on the ideal parameter image and the actual parameter image; if the image coincidence is greater than the preset image coincidence, determining the actual environmental parameters as the final environmental parameters.

[0138] Specifically, the electronic device disassembles and classifies the ideal environmental parameters to determine the corresponding ideal parameter details; at the same time, the electronic device draws an image of the ideal parameter details to determine the ideal parameter image; at the same time, the electronic device uses the above method to obtain the actual parameter details and the actual parameter image; then the electronic device overlaps the ideal parameter image with the actual parameter image, and calculates the image overlap between the ideal parameter image and the actual parameter image; the electronic device compares the image overlap with the preset overlap, and the preset overlap can be determined according to the specific application scenario and requirements. For example, in some cases where the requirements for environmental parameters are relatively strict, the preset overlap can be set higher (such as above 80%), and in some cases where the accuracy requirements are relatively low, the preset overlap can be appropriately reduced; if the image overlap is greater than the preset image overlap, it means that the actual environmental parameters are close to the ideal environmental parameters, and the actual environmental parameters can meet the requirements under the ideal state, and then the electronic device sets the actual environmental parameters as the final environmental parameters.

[0139] After determining the final environmental parameters, the following steps are also included: obtaining local environmental information; building a verification model based on the local environmental information; inputting the final environmental parameters into the verification model to determine the simulation success rate; if the simulation success rate is greater than the preset success rate, generating a verification result and displaying the feedback.

[0140] Specifically, after receiving the local environmental information transmitted by the monitoring device, the electronic device builds a simulation model to verify the final environmental parameters based on the local environmental information, and sets it as the verification model; the electronic device then inputs the final environmental parameters into the verification model, verifies the final environmental parameters, and determines the simulation success rate through preset evaluation results; the electronic device compares the simulation success rate with the preset success rate. If the simulation success rate is greater than the preset success rate, it means that the final environmental parameters are feasible under local environmental conditions, and no abnormalities occurred when verifying the environmental parameters. The electronic device then generates a corresponding verification result and transmits it to the technician's display device.

[0141] Based on the personalized information and the final environmental parameters, the environmental parameter graphics are determined, including: based on the personalized information, determining the user preference information, key focus information and usage scenario information; determining the labeled environmental parameters according to the user preference information, key focus information and the final environmental parameters; determining the graphic type according to the usage scenario information; and drawing the environmental parameter graphics according to the labeled environmental parameters and the graphic type.

[0142] In the embodiment of the present application, the personalized information is the specific demand information of different staff members for environmental parameter graphics.

[0143] Specifically, after receiving the personalized information belonging to itself transmitted by the staff, the electronic device then analyzes and extracts the personalized information to determine the corresponding user preference information, key information and usage scenario information; the electronic device then combines the user preference information and key information to filter out the labeled environmental parameters that need to be labeled in the graph from the final environmental parameters, and gives priority to labeling the parameters that the user focuses on, and determines the labeling method and level of detail based on the user's preferences. At the same time, the electronic device selects the appropriate graphic type based on the usage scenario information. For example, if it is used in a professional report to show the trend of changes in the final environmental parameters over time, a data table and a line graph are drawn to clearly present the fluctuations of the parameters; if it is used for public publicity, a bar chart will be more intuitive and easy to understand when comparing the indicators of different environmental factors; to show the proportion of each part in the whole, the proportion of different pollutants in the total pollution load, a pie chart is drawn; if the geographical location is related, such as the degree of soil pollution in different regions, the map is color-coded or symbolized, and the restrictions and requirements of the platform or media on the graphic type need to be considered. For example, when displaying graphics on a mobile phone screen, one should try to avoid overly complex graphic types and choose simple and clear graphics to ensure that they can be displayed clearly on a smaller screen. The electronic device draws the environmental parameter graphics based on the determined graphic type, and marks the environmental parameters with the drawn parameter graphics. The electronic device then sets the marked parameter graphics as the environmental parameter graphics.

[0144] Reference Figure 2 The graphic-based environmental monitoring parameter generation device 20 may specifically include: a pollution classification information determination module 201, an acceptance standard information determination module 202, an actual environmental parameter determination module 203, an ideal environmental parameter determination module 204, a final environmental parameter determination module 205, and an environmental parameter graphic determination module 206, wherein:

[0145] The pollution classification information determination module 201 is used to obtain pollution monitoring information and determine pollution classification information based on the pollution monitoring information;

[0146] The acceptance standard information determination module 202 is used to determine the acceptance standard information according to the pollution classification information;

[0147] The actual environmental parameter determination module 203 is used to accept the pollution monitoring information based on the acceptance standard information and determine the actual environmental parameters;

[0148] The ideal environmental parameter determination module 204 is used to obtain industrial solid waste information and determine ideal environmental parameters based on the industrial solid waste information;

[0149] The final environmental parameter determination module 205 is used to determine the final environmental parameters according to the ideal environmental parameters and the actual environmental parameters;

[0150] The environmental parameter graph determination module 206 is configured to obtain personalized information and determine an environmental parameter graph based on the personalized information and the final environmental parameters.

[0151] In a possible implementation of the embodiment of the present application, the acceptance standard information determination module 202 includes: a classification keyword determination unit, a quantity information determination unit, a weight information determination unit, a to-be-compared keyword determination unit, an acceptance keyword determination unit, a repetition determination unit, and an acceptance standard information determination unit, wherein:

[0152] A classification keyword determination unit, used to determine classification keywords based on pollution classification information;

[0153] a quantity information determining unit, configured to determine the quantity information of each classification keyword;

[0154] A weight information determination unit, configured to determine weight information of each classification keyword based on the quantity information;

[0155] a to-be-compared keyword determining unit, configured to determine the classification keyword as the to-be-compared keyword if the weight information is greater than the preset weight information;

[0156] An acceptance keyword determination unit, used to obtain acceptance criteria information and determine acceptance keywords based on the acceptance criteria information;

[0157] A repetition determination unit, configured to determine repetition based on the keywords to be compared and the acceptance keywords;

[0158] The acceptance standard information determining unit is configured to determine the acceptance criterion information as the acceptance standard information if the repetition degree is greater than a preset repetition degree.

[0159] In a possible implementation of the embodiment of the present application, the actual environment parameter determination module 203 includes: an acceptance data information determination unit, a pollutant acceptance plan determination unit, a monitoring information integrity determination unit, and an actual environment parameter determination unit, wherein:

[0160] An acceptance data information determining unit, configured to determine the acceptance data information based on the acceptance standard information;

[0161] A pollutant acceptance plan determination unit is used to determine a pollutant acceptance plan based on the acceptance data information;

[0162] A monitoring information integrity determination unit, configured to determine the integrity of the monitoring information based on the pollution monitoring information;

[0163] The actual environmental parameter determination unit is used to determine the actual environmental parameters based on the pollutant acceptance plan if the monitoring information integrity is greater than the preset monitoring information integrity.

[0164] In a possible implementation of the embodiment of the present application, the ideal environmental parameter determination module 204 includes: a two-industry solution determination unit, a two-industry simulation model building unit, an ideal pollutant information determination unit, and an ideal environmental parameter determination unit, wherein:

[0165] A two-industry waste treatment plan determination unit is used to obtain industrial solid waste treatment information and determine the two-industry waste treatment plan based on the industrial solid waste treatment information;

[0166] The two-industry simulation model building unit is used to build the two-industry simulation model based on the two-industry scheme;

[0167] The ideal pollutant information determination unit is used to input industrial solid waste information into the two-industry simulation model to determine the ideal pollutant information;

[0168] The ideal environmental parameter determination unit is used to determine the ideal environmental parameters according to the ideal pollutant information.

[0169] In a possible implementation of the embodiment of the present application, the final environmental parameter determination module 205 includes: an ideal parameter detail determination unit, an ideal parameter image drawing unit, an actual parameter detail determination unit, an actual parameter image drawing unit, an image coincidence determination unit, and a final environmental parameter determination unit, wherein:

[0170] An ideal parameter detail determining unit, configured to determine an ideal parameter detail based on an ideal environmental parameter;

[0171] An ideal parameter image drawing unit, used for drawing an ideal parameter image according to the ideal parameter details;

[0172] An actual parameter detail determination unit, configured to determine actual parameter details based on actual environmental parameters;

[0173] An actual parameter image drawing unit, used for drawing an actual parameter image according to the actual parameter details;

[0174] an image coincidence determination unit, configured to determine the image coincidence based on the ideal parameter image and the actual parameter image;

[0175] The final environmental parameter determining unit is configured to determine the actual environmental parameter as the final environmental parameter if the image overlap is greater than a preset image overlap.

[0176] In a possible implementation of the embodiment of the present application, the graphically based environmental monitoring parameter generation device 20 further includes: a local environmental information acquisition module, a verification model construction module, a simulation success rate determination module, and a feedback module, wherein:

[0177] Local environment information acquisition module, used to obtain local environment information;

[0178] Verification model building module, used to build a verification model based on local environment information;

[0179] A simulation success rate determination module is used to input the final environmental parameters into the verification model to determine the simulation success rate;

[0180] The feedback module is used to generate a verification result and display the feedback if the simulation success rate is greater than the preset success rate.

[0181] In a possible implementation of the embodiment of the present application, the environment parameter graphic determination module 206 includes: a first information determination unit, a marked environment parameter determination unit, a graphic type determination unit, and an environment parameter graphic drawing unit, wherein:

[0182] Personalized information refers to the specific requirements of different staff members for environmental parameter graphics;

[0183] A first information determination unit, configured to determine user preference information, key information, and usage scenario information based on the personalized information;

[0184] A marking environment parameter determination unit, configured to determine the marking environment parameters according to the user preference information, the key information and the final environment parameters;

[0185] A graphic type determination unit, configured to determine a graphic type based on usage scenario information;

[0186] The environmental parameter graph drawing unit is used to draw the environmental parameter graph according to the marked environmental parameters and the graph type.

[0187] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0188] The embodiment of the present application also introduces an electronic device from the perspective of a physical device, such as Figure 3 As shown, Figure 3 The electronic device 30 shown includes a processor 301 and a memory 303. The processor 301 and the memory 303 are connected, for example, via a bus 302. Optionally, the electronic device 30 may further include a transceiver 304. It should be noted that in actual applications, the number of transceivers 304 is not limited to one, and the structure of the electronic device 30 does not constitute a limitation on the embodiments of the present application.

[0189] The processor 301 may be a CPU (Central Processing Unit), a general-purpose processor, a DSP (Digital Signal Processor), an ASIC (Application Specific Integrated Circuit), an FPGA (Field Programmable Gate Array), or other programmable logic devices, transistor logic devices, hardware components, or any combination thereof. It may implement or execute the various exemplary logic blocks, modules, and circuits described in conjunction with the disclosure of this application. The processor 301 may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of a DSP and a microprocessor, and the like.

[0190] The bus 302 may include a path for transmitting information between the above components. The bus 302 may be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus. The bus 302 may be divided into an address bus, a data bus, a control bus, etc. For ease of representation, Figure 3 Only one thick line is used in the diagram, but this does not mean that there is only one bus or one type of bus.

[0191] The memory 303 may be a ROM (Read Only Memory) or other type of static storage device that can store static information and instructions, a RAM (Random Access Memory) or other type of dynamic storage device that can store information and instructions, or an EEPROM (Electrically Erasable Programmable Read Only Memory), a CD-ROM (Compact Disc Read Only Memory) or other optical disk storage, optical disk storage (including compact discs, laser discs, optical discs, digital versatile discs, Blu-ray discs, etc.), a magnetic disk storage medium or other magnetic storage device, or any other medium that can be used to carry or store desired program code in the form of instructions or data structures and can be accessed by a computer, but is not limited thereto.

[0192] The memory 303 is used to store application code for executing the solution of the present application, and the execution is controlled by the processor 301. The processor 301 is used to execute the application code stored in the memory 303 to implement the content shown in the above method embodiment.

[0193] The electronic devices include, but are not limited to, mobile terminals such as mobile phones, laptop computers, digital broadcast receivers, PDAs (personal digital assistants), PADs (tablet computers), PMPs (portable multimedia players), and in-vehicle terminals (e.g., in-vehicle navigation terminals), as well as fixed terminals such as digital TVs and desktop computers. Servers and the like are also possible. Figure 3 The electronic device shown is merely an example and should not limit the functions and scope of use of the embodiments of the present application.

[0194] It should be understood that although the steps in the flowcharts of the accompanying drawings are shown in sequence as indicated by the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless otherwise specified herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some of the steps in the flowcharts of the accompanying drawings may include multiple sub-steps or multiple stages, and these sub-steps or stages are not necessarily executed at the same time, but can be executed at different times, and their execution order is not necessarily sequential, but can be executed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.

[0195] The above are only some of the implementation methods of the present application. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present application. These improvements and modifications should also be regarded as the scope of protection of the present application.

Claims

1. A method for generating environmental monitoring parameters based on graphics, characterized in that: include: Obtaining pollution monitoring information, and determining pollution classification information based on the pollution monitoring information; Determining acceptance criteria information based on the pollution classification information; Based on the acceptance standard information, the pollution monitoring information is accepted to determine the actual environmental parameters; obtaining industrial solid waste information, and determining ideal environmental parameters based on the industrial solid waste information; Determining final environmental parameters according to the ideal environmental parameters and the actual environmental parameters; Personalized information is acquired, and an environmental parameter graph is determined based on the personalized information and the final environmental parameters.

2. The method for generating environmental monitoring parameters based on graphics according to claim 1, characterized in that: Determining acceptance criteria information based on the pollution classification information includes: Determining classification keywords based on the pollution classification information; Determining quantity information of each of the classification keywords; Determining weight information of each of the classification keywords based on the quantity information; If the weight information is greater than the preset weight information, determining the classification keyword as the keyword to be compared; Obtaining acceptance criteria information, and determining acceptance keywords based on the acceptance criteria information; Determining the degree of repetition based on the keywords to be compared and the acceptance keywords; If the repetition degree is greater than a preset repetition degree, the acceptance criterion information is determined to be the acceptance standard information.

3. The method for generating environmental monitoring parameters based on graphics according to claim 1, characterized in that: The step of accepting the pollution monitoring information based on the acceptance standard information and determining actual environmental parameters includes: Determining acceptance data information based on the acceptance standard information; Determine a pollutant acceptance plan based on the acceptance data information; Determining the completeness of the monitoring information based on the pollution monitoring information; If the completeness of the monitoring information is greater than the preset completeness of the monitoring information, the actual environmental parameters are determined based on the pollutant acceptance plan.

4. The method for generating environmental monitoring parameters based on graphics according to claim 1, characterized in that: Determining ideal environmental parameters based on the industrial solid waste information includes: Acquire industrial solid waste treatment information, and determine two-industry transformation plans based on the industrial solid waste treatment information; Based on the two-industry solutions, build a two-industry simulation model; Inputting the industrial solid waste information into the two-industry simulation model to determine ideal pollutant information; The ideal environmental parameters are determined according to the ideal pollutant information.

5. The method for generating environmental monitoring parameters based on graphics according to claim 1, characterized in that: The determining of the final environmental parameters according to the ideal environmental parameters and the actual environmental parameters includes: Based on the ideal environmental parameters, determining ideal parameter details; Drawing an ideal parameter image according to the ideal parameter details; Based on the actual environmental parameters, determining actual parameter details; Drawing an actual parameter image according to the actual parameter details; determining an image coincidence degree based on the ideal parameter image and the actual parameter image; If the image overlap is greater than a preset image overlap, the actual environmental parameter is determined to be the final environmental parameter.

6. The method for generating environmental monitoring parameters based on graphics according to claim 1, characterized in that: The final environmental parameters are determined, and then further include: Obtain local environmental information; Building a verification model based on the local environmental information; Inputting the final environmental parameters into the verification model to determine the simulation success rate; If the simulation success rate is greater than the preset success rate, a verification result is generated and fed back for display.

7. The method for generating environmental monitoring parameters based on graphics according to claim 1, characterized in that: The determining of an environmental parameter graph based on the personalized information and the final environmental parameter includes: The personalized information is the specific demand information of different staff members for the environmental parameter graph; Determining user preference information, key focus information, and usage scenario information based on the personalized information; Determining the marked environmental parameters according to the user preference information, the key attention information, and the final environmental parameters; Determining a graphic type according to the usage scenario information; The environmental parameter graph is drawn according to the marked environmental parameter and the graph type.

8. A device for generating environmental monitoring parameters based on graphics, characterized in that: include: A pollution classification information determination module is used to obtain pollution monitoring information and determine pollution classification information based on the pollution monitoring information; An acceptance standard information determination module, configured to determine acceptance standard information based on the pollution classification information; An actual environmental parameter determination module, configured to accept the pollution monitoring information based on the acceptance standard information and determine actual environmental parameters; an ideal environmental parameter determination module, configured to obtain industrial solid waste information and determine ideal environmental parameters based on the industrial solid waste information; A final environmental parameter determination module, configured to determine final environmental parameters based on the ideal environmental parameters and the actual environmental parameters; The environmental parameter graph determination module is used to obtain personalized information and determine the environmental parameter graph based on the personalized information and the final environmental parameters.

9. An electronic device, characterized in that: The electronic device includes: at least one processor; Memory; At least one application, wherein the at least one application is stored in a memory and configured to be executed by at least one processor, and the at least one application is configured to: execute a graphics-based environmental monitoring parameter generation method according to any one of claims 1 to 7.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed in a computer, the computer is caused to execute the method for generating environmental monitoring parameters based on graphics according to any one of claims 1 to 7.

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