Pollution control equipment operation and maintenance alarm method and system based on wireless remote technology

Abstract

The invention relates to the technical field of industrial pollution control, in particular to a pollution control equipment operation and maintenance alarm method and system based on a wireless remote technology, and the method comprises the steps: collecting pollution accident types corresponding to historical pollution accidents of a pollution discharge enterprise, a pollution control equipment operation parameter set and an enterprise production process set; performing correlation analysis on the pollution accident type, the pollution control equipment operation parameter set and the enterprise production process set to obtain a pollution equipment process correlation matrix; a pollution control equipment operation parameter set and an enterprise production process set of the pollution discharge enterprise are remotely obtained in real time and are positioned in the pollution equipment process correlation matrix, and the correlation degree of various pollution accident types is extracted; independent statistics is carried out on the correlation degree of the extracted various pollution accident types, and the correlation total amount of the various pollution accident types is obtained; and acquiring the real-time environment state of the place where the pollution discharge enterprise is located, and performing environment influence assignment on the related total amount of various pollution accident types by considering the real-time environment state.

Description

Technical Field

[0001] The present invention relates to the technical field of industrial pollution control, and in particular to a pollution control equipment operation and maintenance alarm method and system based on wireless remote technology. Background Art

[0003] Among the existing pollution control equipment operation and maintenance alarm methods, most are based on monitoring and analysis of data generated during the actual operation of the pollution control equipment. For example, by monitoring the real-time operating parameters of the pollution control equipment, such as flow, pressure, pollutant removal rate and other indicators, the alarm mechanism is triggered only when these parameters exceed the set normal range; however, the alarm method based on post-event data has obvious limitations.

[0004] For polluting enterprises, at the beginning of production or before production starts, although the pollution control equipment may be on standby or in debugging status, the existing alarm methods cannot effectively warn of pollution risks due to the lack of data accumulation in the actual production process. At this stage, many potential pollution risk factors are often hidden. For example, new pollution control equipment may not fully match the company's specific production process, or the company may underestimate the production process and pollution control during the production planning stage, resulting in serious pollution accidents when actual production starts even if the equipment is installed and initially debugged normally. Therefore, the lag of existing methods makes it difficult to effectively prevent the occurrence of pollution accidents, and there is a lack of effective early warning mechanism for potential risks at the beginning of production or before production starts. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides a pollution control equipment operation and maintenance alarm method and system based on wireless remote technology, which can effectively solve the limitations of existing alarm methods and improve the efficiency and accuracy of environmental pollution prevention and control.

[0006] In a first aspect, the present invention provides a pollution control equipment operation and maintenance alarm method based on wireless remote technology, the method comprising: Collect pollution accident types, pollution control equipment operation parameter sets and enterprise production process sets corresponding to historical pollution accidents of pollutant-discharging enterprises; Conduct correlation analysis on pollution accident types, pollution control equipment operating parameter sets, and enterprise production process sets to obtain the pollution equipment process correlation matrix; Remotely and in real time obtain the pollution control equipment operation parameter set and the enterprise production process set of the pollutant discharge enterprise, and locate the two in the pollution equipment process correlation matrix to extract the correlation of various types of pollution accidents; Independently count the correlations of the various types of pollution accidents extracted to obtain the total correlations of the various types of pollution accidents; Obtaining the real-time environmental status of the location of the pollutant-discharging enterprise, and considering the real-time environmental status, assigning environmental impacts to the relevant total amounts of the various types of pollution accidents, and obtaining the relevant assigned total amounts of the various types of pollution accidents; Identify whether there is a total amount of the related assigned values ​​that exceeds a preset pollution accident related threshold, and issue a pollution control alarm based on the identification result.

[0007] Furthermore, the pollution accident type, the pollution control equipment operation parameter set and the enterprise production process set correspond to each other in the time and space dimensions.

[0008] Furthermore, if there are m types of pollution accidents, n operating parameters of pollution control equipment, and k production processes of enterprises; the pollution equipment process correlation matrix is:

[0009] Among them, r mnk It indicates the correlation between the operating parameters of the nth pollution control equipment and the production process of the kth enterprise and the occurrence of the mth pollution accident type.

[0010] Furthermore, the method for extracting the correlation between the types of pollution accidents includes: At the production site of the pollutant-discharging enterprise, the operating parameter set of the pollution control equipment and the production process set of the enterprise are obtained through sensors and monitoring equipment; Sending the collected pollution control equipment operation parameter set and the enterprise production process set of the pollutant discharge enterprise to the remote monitoring center; After receiving the data, the remote monitoring center will analyze and organize the data; match and locate the acquired pollution control equipment operating parameters and enterprise production process data with the dimensional information in the pollution equipment process related matrix; After completing the positioning, the element value of the corresponding position is extracted from the pollution equipment process correlation matrix. The element value is the correlation between the occurrence of various types of pollution accidents under the operating parameters of this pollution control equipment and the production process status of the enterprise.

[0011] Furthermore, if there are x relevant data for a certain type of pollution accident, the corresponding weights are w x , the formula for obtaining the relevant total amount of each type of pollution accident is: Among them, R represents the relevant total amount of pollution accident types, w i represents the weight of the i-th relevance data, r i Represents the i-th correlation data.

[0012] Furthermore, it is identified whether there is a total amount of the related assigned values ​​exceeding a preset pollution accident related threshold, and a pollution control alarm is issued based on the identification result: Compare the calculated total values ​​of various pollution accident types with the preset pollution accident related thresholds one by one; In response to the total amount of the relevant assigned values ​​of a certain pollution accident type exceeding the corresponding preset threshold, it is determined that the pollution accident type has a high risk of occurrence; Generate alarm information, including the name of the pollution accident type, risk level, impact scope and recommended response measures; According to the preset alarm strategy, the alarm information is warned.

[0013] Furthermore, the influencing factors for setting the preset pollution accident related thresholds include historical pollution accident data analysis, pollution control equipment operating parameter standards, enterprise production process characteristics, real-time environmental status changes and risk assessment.

[0014] On the other hand, the present application also provides a pollution control equipment operation and maintenance alarm system based on wireless remote technology, the system comprising: The data collection module is used to collect pollution accident types, pollution control equipment operation parameter sets and enterprise production process sets corresponding to historical pollution accidents of pollutant-discharging enterprises; The correlation analysis module is used to perform correlation analysis on pollution accident types, pollution control equipment operation parameter sets, and enterprise production process sets to obtain the pollution equipment process correlation matrix; The parameter process acquisition and positioning module is used to remotely and in real time acquire the pollution control equipment operation parameter set and the enterprise production process set of the pollutant discharge enterprise, and locate the two in the pollution equipment process correlation matrix to extract the correlation of various types of pollution accidents; A correlation statistics module is used to independently count the correlations of the various types of pollution accidents extracted to obtain the total correlation amounts of the various types of pollution accidents; An environmental impact assignment module is used to obtain the real-time environmental status of the location of the pollutant-discharging enterprise, and consider the real-time environmental status to assign environmental impacts to the relevant total amounts of the various types of pollution accidents, so as to obtain the relevant assigned total amounts of the various types of pollution accidents; The alarm identification module is used to identify whether the total amount of the relevant assignment exceeds the preset pollution accident related threshold, and to issue a pollution control alarm based on the identification result.

[0015] In a third aspect, the present application provides an electronic device, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, and the computer program, when executed by the processor, implements the steps of any one of the above methods.

[0016] In a fourth aspect, the present application further provides a computer-readable storage medium having a computer program stored thereon, wherein the computer program implements the steps in any one of the above-mentioned methods when executed by a processor.

[0017] Compared with the prior art, the present invention has the following beneficial effects: by collecting historical pollution data of pollutant-discharging enterprises, even when there is no actual production data, the potential pollution risks can be discovered in advance by analyzing the relationship between historical data and current equipment operating parameters and production processes, which effectively solves the problem that the existing methods are difficult to warn in advance; by warning of potential risks in advance, enterprises can adjust the production process and optimize the configuration of pollution control equipment in time before production starts, thus avoiding serious pollution accidents during actual production and reducing the possibility of pollution accidents; Comprehensively consider the three dimensions of pollution accident type, pollution control equipment operating parameter set and enterprise production process set, and construct a three-dimensional pollution equipment process correlation matrix; break the limitation of traditional methods that only focus on real-time equipment operating parameters, and comprehensively consider the relationship between equipment, process and accident type, making the analysis more in-depth and comprehensive; require the collected data to correspond in time and space dimensions to ensure the consistency and accuracy of the analyzed data; can more accurately reflect the relationship between pollution accidents and equipment and processes in different time periods and different production scenarios, avoid analysis errors caused by data time and space mismatch, and improve the reliability of the method; Wireless remote technology is used to obtain the pollution control equipment operating parameter set and enterprise production process set of the pollutant-discharging enterprise in real time, and locate and analyze them in the relevant matrix in a timely manner; the system can track the production status of the enterprise in real time. Once the equipment operating parameters or production process change, it can quickly analyze the type and relevance of the pollution accident that may be caused, and issue early warnings in time, ensuring the timeliness and effectiveness of the early warning; this method does not analyze data statically, but continuously updates the relevance of pollution accidents and the total amount of related assignments based on the real-time data; as the enterprise's production process progresses and the environmental status changes, the system can dynamically adjust the assessment of pollution risks and always maintain an accurate grasp of pollution risks; When assessing the risk of pollution accidents, the real-time environmental status of the location of the pollutant-discharging enterprise is obtained, and the environmental impact value of the relevant total amount is assigned; different environmental conditions will have different impacts on the occurrence and spread of pollution accidents. Considering environmental factors makes the risk assessment more in line with the actual situation and improves the accuracy of early warning; By setting preset pollution accident thresholds, a pollution control alarm will be issued when the total amount of the relevant assigned value exceeds the threshold, providing a clear decision-making basis for enterprises and environmental protection regulatory departments, so that relevant personnel can take timely measures; In summary, the pollution control equipment operation and maintenance alarm method can effectively solve the limitations of existing alarm methods and improve the efficiency and accuracy of environmental pollution prevention and control. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 is a flow chart of the present invention; Figure 2 This is the structural diagram of the pollution control equipment operation and maintenance alarm system based on wireless remote technology. DETAILED DESCRIPTION

[0019] In the description of this application, those skilled in the art should know that this application can be implemented as a method, an apparatus, an electronic device, and a computer-readable storage medium. Therefore, this application can be specifically implemented in the following forms: complete hardware, complete software (including firmware, resident software, microcode, etc.), a combination of hardware and software. In addition, in some embodiments, this application can also be implemented in the form of a computer program product in one or more computer-readable storage media, and the computer-readable storage medium contains computer program code.

[0020] The above-mentioned computer-readable storage medium may adopt any combination of one or more computer-readable storage media. Computer-readable storage media include: electrical, magnetic, optical, electromagnetic, infrared or semiconductor systems, devices or devices, or any combination of the above. More specific examples of computer-readable storage media include: portable computer disks, hard disks, random access memories, read-only memories, erasable programmable read-only memories, flash memories, optical fibers, optical disc read-only memories, optical storage devices, magnetic storage devices, or any combination of the above. In the present application, computer-readable storage media can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, device, or device.

[0021] The acquisition, storage, use, and processing of data in the technical solution of this application comply with the relevant provisions of national laws.

[0022] The present application describes the provided methods, devices, and electronic devices through flowcharts and / or block diagrams.

[0023] It should be understood that each box in the flowchart and / or block diagram and the combination of boxes in the flowchart and / or block diagram can be implemented by computer-readable program instructions. These computer-readable program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer or other programmable data processing device to produce a machine, and these computer-readable program instructions are executed by a computer or other programmable data processing device to produce a device that implements the functions / operations specified by the boxes in the flowchart and / or block diagram.

[0024] These computer-readable program instructions may also be stored in a computer-readable storage medium that enables a computer or other programmable data processing device to work in a specific manner. In this way, the instructions stored in the computer-readable storage medium produce an instruction device product including functions / operations specified in the blocks in the flowchart and / or block diagram.

[0025] Computer-readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other device, so that a series of operational steps are performed on the computer, other programmable data processing apparatus, or other device to produce a computer-implemented process, thereby enabling the instructions executed on the computer or other programmable data processing apparatus to provide a process for implementing the functions / operations specified in the blocks in the flowchart and / or block diagram.

[0026] The present application is described below in conjunction with the drawings in the present application.

[0027] Embodiment 1: Figure 1 As shown, the pollution control equipment operation and maintenance alarm method based on wireless remote technology of the present invention specifically includes the following steps: S1. Collect pollution accident types, pollution control equipment operation parameter sets and enterprise production process sets corresponding to historical pollution accidents of pollutant-discharging enterprises; the pollution accident types, pollution control equipment operation parameter sets and enterprise production process sets correspond to each other in the time and space dimensions; Collect pollution accident types: Comprehensively collect information on pollution accidents that have occurred in the history of polluting enterprises through various channels; on the one hand, obtain relevant data from the accident reports and environmental management records within the enterprises. The accident reports and environmental management records record in detail the time, location, type of pollutants, scope of pollution, and impact on the environment of the accident, and can intuitively present the specific circumstances of the pollution accident; on the other hand, with the help of the supervision files of the ecological environment department, the supervision files cover the pollution accident data of many polluting enterprises in the region, which are more representative and authoritative; Collecting the operating parameter set of pollution control equipment: For the operating parameters of pollution control equipment, it is necessary to determine the key monitoring parameters for different types of pollution control equipment; for example, for sewage treatment equipment, focus on collecting parameters such as flow rate, pressure, pollutant removal rate, pH value, etc.; for waste gas treatment equipment, pay attention to parameters such as air volume, air pressure, pollutant concentration, purification efficiency, etc.; the collection method mainly relies on the sensors and monitoring instruments carried by the equipment itself, which can monitor and record the operating parameters in real time; at the same time, with the help of the data acquisition system, the parameters of pollution control equipment distributed in different locations are centrally collected and integrated to ensure the integrity and timeliness of the data; in addition, it is also necessary to collect information such as the operating time and start and stop status of the equipment, which can reflect the operating conditions of the equipment; Collect enterprise production process collection: Go deep into the production site of the pollutant-discharging enterprise to understand the enterprise's production process; draw a production process flow chart to clarify the input raw materials, production conditions, intermediate products and final products of each production link, and clearly present the overall picture of the production process; record the adjustment and changes of the production process, including the introduction of new processes, optimization of production parameters and other information. Changes in production processes will affect the operation of pollution control equipment and the risk of pollution accidents; it is also necessary to collect information such as the production scale and production plan of the enterprise. The production scale and production plan of the enterprise are closely related to the amount of pollutants generated in the production process and the load of pollution control equipment; When collecting pollution accident types, pollution control equipment operating parameter sets and enterprise production process sets, ensure the correspondence in the time and space dimensions; in the time dimension, accurately record the time point or time period when each data is generated, clarify the specific time of the pollution accident, as well as the operating parameters of the pollution control equipment and the status of the enterprise's production process at the same time or in a similar time period, so that the data has coherence and correlation in the time series; in the spatial dimension, clarify the location information of the specific production workshop, production equipment and pollution control equipment corresponding to each data, and ensure the accuracy and consistency of the data in space, so as to be able to accurately analyze the intrinsic connection between different factors and pollution accidents under the interweaving of time and space in the future.

[0028] In this step, pollution accident information is comprehensively collected through multiple channels to ensure the wide coverage and accuracy of the data; the collection of pollution control equipment operating parameters not only relies on the sensors and monitoring instruments built into the equipment, but also realizes the centralized integration of data through the data acquisition system, ensuring the integrity and timeliness of the data; the production process is understood in depth at the enterprise production site, flow charts are drawn and adjustments and changes are recorded to ensure the accuracy and exhaustiveness of the production process data; in the time dimension, the time point or time period when each data is generated is accurately recorded, so that the pollution accidents, pollution control equipment operating parameters and enterprise production process data have coherence and correlation in the time series, which is helpful for the subsequent analysis of the occurrence patterns and influencing factors of pollution accidents; in the spatial dimension, the specific location information corresponding to the data is clarified to ensure the accuracy and consistency of the data in space, which is helpful to locate the risk points of pollution accidents and the operating status of pollution control equipment; through in-depth analysis of these data, potential pollution risk factors can be identified, preventive measures can be taken in advance, and the occurrence of pollution accidents can be reduced, thereby improving the efficiency of pollution control.

[0029] S2. Conduct correlation analysis on pollution accident types, pollution control equipment operation parameter sets, and enterprise production process sets to obtain a pollution equipment process correlation matrix; The collected data are standardized. For missing data, mean filling, interpolation or model-based prediction methods are used to supplement it according to the characteristics and distribution of the data; duplicate data are directly deleted; In this step, a variety of correlation analysis methods can be used, such as the Pearson correlation coefficient method, the Spearman rank correlation coefficient method, etc.; the Pearson correlation coefficient method is suitable for analyzing the linear correlation between two continuous variables, and is more suitable for the correlation analysis between the operating parameters of pollution control equipment; the Spearman rank correlation coefficient method is mainly used to analyze the correlation between the ranks of variables, and is more suitable for some data that do not meet the normal distribution or have a hierarchical nature; select a suitable correlation analysis method according to the characteristics of the data and the purpose of analysis; if the data approximately obeys the normal distribution, and it is hoped to analyze the strength of the linear relationship between the variables, the Pearson correlation coefficient method is a better choice; if the data distribution is unknown or does not meet the normal distribution, or the focus is on the monotonic relationship between the variables rather than the strict linear relationship, the Spearman rank correlation coefficient method is more appropriate; in actual operation, multiple methods can also be used for analysis at the same time to verify the reliability of the results; After determining the correlation analysis method, a pollution equipment process correlation matrix is ​​constructed. The pollution equipment process correlation matrix is ​​a three-dimensional matrix. The first dimension is various pollution accident types, the second dimension is various pollution control equipment operating parameters, and the third dimension is various enterprise production processes. Each point in the matrix represents the correlation between the pollution accident type under the pollution control equipment operating parameters and the enterprise production process state; For each point in the matrix, the selected correlation analysis method is used to calculate the correlation between the corresponding pollution accident type, the operating parameters of the pollution control equipment and the enterprise's production process, and the obtained correlation value is filled into the three-dimensional matrix; If there are m types of pollution accidents, n operating parameters of pollution control equipment, and k production processes of enterprises; the pollution equipment process correlation matrix is:

[0030] Among them, r mnk It indicates the correlation between the operating parameters of the nth pollution control equipment and the production process of the kth enterprise and the occurrence of the mth pollution accident type.

[0031] In this step, by conducting correlation analysis on pollution accident types, pollution control equipment operating parameter sets, and enterprise production process sets, the inherent connections between them can be systematically examined; this helps to reveal the potential causes of pollution accidents, as well as the impact of pollution control equipment operating efficiency and enterprise production processes on pollution accidents; the collected data are standardized, and appropriate missing data filling methods are used according to data characteristics and distribution, which effectively improves data quality and availability; at the same time, deleting duplicate data reduces data redundancy and improves the accuracy and efficiency of analysis; according to the distribution characteristics of the data and the purpose of analysis, a variety of correlation analysis methods such as the Pearson correlation coefficient method or the Spearman rank correlation coefficient method are flexibly selected to ensure the accuracy and applicability of the analysis results. Applicability: reliable correlation assessment can be obtained regardless of whether the data satisfies the normal distribution; a pollution equipment process correlation matrix is ​​constructed, which intuitively displays the complex relationship between the pollution accident type, pollution control equipment operating parameters and enterprise production process in three-dimensional form; it is not only easy to understand and analyze, but also provides strong data support for the subsequent formulation of pollution prevention and control strategies; in actual operation, multiple methods can be used for analysis at the same time to verify the reliability of the results; the robustness and credibility of the analysis results are further enhanced, providing a more reliable basis for decision-making; this step improves data quality through comprehensive and systematic correlation analysis, flexibly applies multiple analysis methods, constructs an intuitive three-dimensional matrix, and improves the reliability of the results through cross-validation.

[0032] S3, remotely and in real time obtain the pollution control equipment operation parameter set and the enterprise production process set of the pollutant discharge enterprise, and locate the two in the pollution equipment process correlation matrix to extract the correlation of various types of pollution accidents; The method for extracting the relevance of various types of pollution accidents includes: At the production sites of polluting enterprises, various sensors and monitoring equipment are installed at key locations of pollution control equipment and production processes; for pollution control equipment, such as flow sensors and pressure sensors of sewage treatment equipment, and online monitoring instruments for detecting pollutant removal rates, the operating parameters of pollution control equipment can be collected in real time; in the production process of enterprises, sensors installed on the production line are used to collect data reflecting the status of the production process, such as temperature, pressure, and raw material flow; these sensors convert the collected analog signals into digital signals and summarize them through data collection terminals; Using wireless transmission technologies such as 4G, 5G or Ethernet, the data collection terminal sends the aggregated set of pollution control equipment operating parameters and enterprise production process data to the remote monitoring center; taking 5G technology as an example, its high speed and low latency characteristics can ensure fast and stable data transmission to avoid data loss or delay; during the transmission process, encryption technology is used to encrypt the data to ensure the security and accuracy of the data, preventing the data from being stolen or tampered with during the transmission process; at the same time, by setting up network protocols and data verification mechanisms, the integrity of the transmitted data is checked to ensure that the data received by the receiving end is complete and correct; After receiving the data, the remote monitoring center will analyze and organize the data; match and locate the acquired pollution control equipment operating parameters and enterprise production process data with the dimensional information in the pollution equipment process related matrix; After the positioning is completed, the element value of the corresponding position is extracted from the pollution equipment process correlation matrix. The element value is the correlation between the occurrence of various types of pollution accidents under the operating parameters of the pollution control equipment and the production process status of the enterprise; In this step, by installing various sensors and monitoring equipment at the production site of the pollutant-discharging enterprise, the operating parameters of the pollution control equipment and the key data of the enterprise's production process can be collected in real time. The real-time nature of the data ensures the timeliness and accuracy of subsequent analysis; the collected data is sent to the remote monitoring center using wireless transmission technologies such as 4G, 5G or Ethernet; this remote monitoring method not only improves work efficiency, but also realizes centralized management and analysis of data, facilitating subsequent risk assessment and decision-making; during data transmission, encryption technology is used to encrypt the data to prevent the data from being stolen or tampered with; at the same time, by setting up network protocols and data verification mechanisms, the integrity of the transmitted data is checked to ensure that the data received by the receiving end is complete and correct; the security and reliability of the data are enhanced; after the remote monitoring center receives the data, through Matching positioning matches the acquired pollution control equipment operating parameters and enterprise production process data with the dimensional information in the pollution equipment process correlation matrix; realizes the precise positioning of the data, and extracts the element value of the corresponding position from the matrix, that is, the correlation of various types of pollution accidents; provides a scientific basis for subsequent pollution risk assessment and early warning; the implementation of the entire step relies on advanced sensor technology, wireless transmission technology and data processing technology; makes the operation and maintenance alarm process of pollution control equipment more intelligent and automated, reduces manual intervention and errors, and improves work efficiency and accuracy; in summary, this step realizes remote real-time acquisition and correlation analysis of the pollution control equipment operating parameters and enterprise production processes of polluting enterprises through real-time collection, remote monitoring, data encryption, precise positioning and correlation extraction, thereby improving data security and accuracy.

[0033] S4. Independently count the correlations of the various types of pollution accidents extracted to obtain the total correlations of the various types of pollution accidents; The extracted correlations of various types of pollution accidents are sorted and classified, and these data are classified according to the types of pollution accidents to ensure that the correlation data of each type of pollution accident is accurately classified; for example, all the correlation data related to air pollution accidents are classified into one category, and the data related to water pollution accidents are classified into another category, and so on; after such classification, it is convenient to perform statistical analysis on the correlation of each type of pollution accident; If there are x relevant data for a certain type of pollution accident, the corresponding weights are w x , the formula for obtaining the relevant total amount of each type of pollution accident is: Among them, R represents the relevant total amount of pollution accident types, w i represents the weight of the i-th relevance data, r i Represents the i-th correlation data.

[0034] In this step, through classification and sorting, the relevant data are organized in an orderly manner, so that the relevance data of each type of pollution accident is clear at a glance, which is convenient for subsequent analysis and processing; statistical analysis of the relevance of each type of pollution accident can more accurately reflect the risk level of different types of pollution accidents; it is helpful to identify high-risk areas and potential problems, and provide a basis for formulating targeted preventive measures; when calculating the relevant total amount of pollution accident types, a weight coefficient is introduced, which reflects the difference in importance of different relevance data in the overall assessment; by flexibly adjusting the weight coefficient, the risk level of pollution accidents can be more accurately assessed; the relevant total amount of various pollution accident types provides strong data support for subsequent pollution control alarm decisions; through the automated data sorting and classification process, the errors and omissions of manual operations are reduced, and the efficiency and accuracy of data processing are improved; S4 step independently counts and sorts the relevance data of pollution accident types, which not only improves the clarity of the data and the accuracy of statistical analysis, but also provides a strong data basis for subsequent decision-making support, thereby helping to more effectively prevent and control the occurrence of pollution accidents.

[0035] S5. Obtain the real-time environmental status of the location of the pollutant-discharging enterprise, and consider the real-time environmental status to assign environmental impacts to the relevant total amounts of the various types of pollution accidents, so as to obtain the relevant assigned total amounts of the various types of pollution accidents; Obtain real-time environmental status data of the locations of polluting enterprises through environmental monitoring stations, sensor networks or satellite remote sensing technology; environmental status data include air quality index, water pollution index, soil pollution index, meteorological data; obtain ecological sensitivity data of ecologically sensitive areas around polluting enterprises, such as nature reserves, water source protection areas, residential areas, etc.; Based on real-time environmental status data, key environmental factors that affect pollution accidents are classified. Taking meteorological factors as an example, wind speed is divided into three levels: low wind speed, medium wind speed, and high wind speed; humidity is divided into low humidity, medium humidity, and high humidity. For atmospheric pollutant concentrations, pollutant concentrations are divided into different levels such as low concentration, medium concentration, and high concentration.

[0036] Corresponding assignment rules are set for different types of pollution accidents and levels of environmental factors. For air pollution accidents, if the environment is low wind speed, high humidity and high concentration of air pollutants, the assignment of the relevant total amount can be set to multiply the original relevant total amount by 1.5 because it is not conducive to the diffusion of pollutants; if it is a medium wind speed, medium humidity, medium concentration environment, the assignment is multiplied by 1.2; and in a high wind speed, low humidity, low concentration environment, the assignment is multiplied by 0.8. For water pollution accidents, if the flow of water bodies around the enterprise is small and the self-purification capacity is poor, the assignment of the relevant total amount of water pollution accidents can be multiplied by 1.3 on the original basis; if the water flow is large and the self-purification capacity is strong, it is multiplied by 0.7.

[0037] After obtaining real-time environmental status data, determine the level of each environmental factor and assign and calculate the relevant total amounts of different types of pollution accidents according to established rules.

[0038] In this step, by real-time monitoring of environmental status data and grading the key environmental factors of pollution accidents based on these data, the potential risks and impacts of pollution accidents can be assessed more accurately; it helps to discover potential pollution problems in advance and improve the accuracy and timeliness of early warnings; the total amount of relevant assignments provided by step S5 provides more comprehensive risk information for polluting enterprises and environmental protection departments; it helps enterprises and departments to formulate more scientific and reasonable preventive measures and emergency plans, so as to more effectively respond to pollution accidents; by setting corresponding assignment rules for different types of pollution accidents and levels of environmental factors, step S5 realizes the quantitative management of environmental risks; it helps enterprises and departments to better identify, evaluate and control environmental risks, so as to protect the ecological environment Safety and sustainable development; Step S5 greatly improves the efficiency and accuracy of environmental monitoring by using modern means such as environmental monitoring stations, sensor networks or satellite remote sensing technology to obtain environmental status data in real time; it helps to discover environmental problems in a timely manner and provide strong support for environmental management; Step S5 also takes into account the ecological sensitivity data of ecologically sensitive areas around polluting enterprises, which helps to more comprehensively assess the impact of pollution accidents on the ecological environment and human society, and thus formulate more reasonable environmental protection measures; Step S5 achieves accurate assessment and quantitative management of environmental risks by comprehensively considering real-time environmental status, ecological sensitivity and pollution accident types; it helps to improve early warning accuracy, enhance decision-making support, promote environmental risk management, and improve environmental monitoring efficiency.

[0039] S6. Identify whether there is a total amount of the related assigned values ​​that exceeds a preset pollution accident related threshold, and issue a pollution control alarm based on the identification result; The factors affecting the setting of the preset pollution accident related thresholds include: Analysis of historical pollution accident data: Analyze the types, frequency, severity, etc. of pollution accidents that have occurred in the history of pollutant-discharging enterprises to understand the typical characteristics and occurrence patterns of various types of pollution accidents; determine the risk level and possible environmental impact of various types of pollution accidents based on historical data, and provide a reference for setting thresholds; Pollution control equipment operating parameter standards: refer to the pollution control equipment operating parameter standards formulated by national and local environmental protection departments to ensure that the threshold setting complies with regulatory requirements; consider factors such as the type, specification, performance of the pollution control equipment, as well as the operating characteristics of the equipment under different production process conditions, and set reasonable operating parameter thresholds; Enterprise production process characteristics: Analyze the production process flow, raw material types, product characteristics, etc. of the pollutant-discharging enterprise to understand the types and emissions of pollutants that may be generated during the production process; based on the production process characteristics, evaluate the impact of different production stages on the operating parameters of pollution control equipment and environmental conditions to provide a scientific basis for setting thresholds; Real-time environmental status changes: Consider natural factors such as climate, season, weather, etc. where the pollutant-discharging enterprises are located, as well as the sensitivity and vulnerability of the surrounding environment; assess the potential role of real-time environmental status in the spread and impact of pollution accidents, and provide data support for considering environmental impact values ​​when setting thresholds; Risk assessment: Conduct risk assessment based on the actual situation of the enterprise and the requirements of the environmental protection department, determine the acceptable risk level of different types of pollution accidents, set reasonable thresholds related to pollution accidents, and ensure that early warnings can be issued in a timely manner when the pollution risk exceeds the acceptable range; Identify whether there is a total amount of the related assignments that exceeds a preset pollution accident related threshold, and issue a pollution control alarm based on the identification result: Compare the calculated total values ​​of various pollution accident types with the preset pollution accident related thresholds one by one; In response to the total amount of the relevant assigned values ​​of a certain pollution accident type exceeding the corresponding preset threshold, it is determined that the pollution accident type has a high risk of occurrence; Generate alarm information, including the name of the pollution accident type, risk level, impact scope and recommended response measures; Alert the alarm information according to the preset alarm strategy; the alarm strategy includes SMS notification, email reminder, phone call, system pop-up window and other methods; After the alarm is issued, the system will continue to track the response to the alarm; this includes recording the time when the relevant personnel received the alarm information, the response measures taken, and the subsequent processing results; if the alarm is not responded to in time or the processing effect is not good, the system will issue a reminder again or upgrade the alarm level to ensure that the problem is properly resolved; Keep detailed records of each alarm, including alarm time, pollution accident type, total amount of related assignments, preset thresholds, alarm methods, response conditions, etc.; for subsequent analysis and summary to optimize alarm strategies and improve the accuracy and reliability of the alarm system.

[0040] In this step, by comparing the calculated total amount of relevant assigned values ​​of various pollution accident types with the preset pollution accident related thresholds, potential pollution risks can be identified; once the total amount of relevant assigned values ​​of a certain pollution accident type exceeds the preset threshold, the system can immediately trigger an alarm, thereby issuing an early warning before the pollution accident occurs, effectively reducing the pollution risk; the setting of the preset pollution accident related thresholds comprehensively considers multiple factors such as historical pollution accident data analysis, pollution control equipment operating parameter standards, enterprise production process characteristics, real-time environmental status changes, and risk assessment; ensures the rationality and accuracy of the thresholds and improves the reliability of the alarm system; and the diverse alarm methods ensure that the alarm information can be quickly and accurately conveyed to relevant personnel , so that they can take timely response measures; after the alarm is issued, the system will continue to track the response to the alarm, and record the time when the relevant personnel received the alarm information, the response measures taken, and the subsequent processing results, etc.; it helps to optimize the alarm strategy and improve the accuracy and reliability of the alarm system; at the same time, for alarms that have not received a timely response or have been poorly handled, the system will issue a reminder again or upgrade the alarm level to ensure that the problem is properly resolved; save detailed records of each alarm, including alarm time, pollution accident type, related assigned total amount, preset threshold, alarm method, response status, etc.; these records provide valuable data support for subsequent analysis and summary, which helps to continuously optimize the alarm strategy and improve the overall performance of the system.

[0041] In some embodiments of the present invention, in addition to collecting conventional operating parameters of pollution control equipment (such as key indicators such as flow rate, pressure, pollutant removal rate, pH value of sewage treatment equipment; important parameters such as air volume, air pressure, pollutant concentration, purification efficiency of waste gas treatment equipment) and enterprise production process related parameters (such as temperature, pressure, raw material flow rate and other data reflecting the process status on the production line), it is also necessary to monitor the power data of the pollution control equipment. The specific implementation method of power data monitoring is as follows: Select appropriate current transformer terminal equipment and install it accurately inside the distribution cabinet; the distribution cabinet is the core hub of power distribution and control. Installing current transformer terminal equipment here can comprehensively and accurately obtain the current information of the pollution control equipment during operation; the current sensor currently used is designed to be directly fastened to the wires belonging to the pollution control equipment. The convenient installation method is not only simple and efficient, but also can quickly realize the connection between the sensor and the wire, and can maximize the accuracy of current data collection; during operation, the current sensor can capture the current changes flowing through the wires in real time and convert them into recognizable electrical signals.

[0042] By further processing and analyzing the above electrical signals with the help of built-in calculation modules and related algorithms, key electrical information such as the power and power load of the pollution control equipment during operation can be accurately obtained; for example, by measuring the instantaneous values ​​of current and voltage and based on the power calculation formula P=UI (where P represents power, U is voltage, and I is current), the instantaneous power of the equipment can be calculated in real time, and then the power load of the equipment can be obtained by integrating the instantaneous power over a period of time.

[0043] The collected electricity data is transmitted through a specially connected signal antenna; the signal antenna has efficient signal transmission and reception capabilities, and can send the electricity data in the form of a stable wireless signal; at the same time, in order to realize remote transmission of data, the current advanced 4G, 5G or Ethernet and other wireless transmission technologies are used to integrate the power data into the pollution control equipment operating parameter set, and send it together with the enterprise production process set data to the remote monitoring center; taking 5G technology as an example, it has the significant advantages of high speed and low latency; during the data transmission process, the 5G network can quickly transmit a large amount of equipment operating parameters and production process data to the remote monitoring center at a transmission rate of up to several Gbps, greatly shortening the data transmission time; and its low latency characteristics can ensure the timeliness of data transmission and avoid the reduction of data timeliness due to transmission delays.

[0044] During the data transmission process, in order to ensure the security and accuracy of the data, safeguards need to be taken; first, the data is encrypted using advanced encryption technology; by using encryption algorithms such as AES (Advanced Encryption Standard), the original data is converted into ciphertext for transmission; even if the data is stolen by criminals during the transmission process, due to the lack of the correct decryption key, the real content of the data cannot be obtained, thereby effectively preventing the data from being stolen or tampered with; at the same time, by setting up a rigorous network protocol and data verification mechanism, the integrity of the transmitted data is verified; at the sending end, the data is encapsulated according to a specific network protocol and the corresponding check code is added; after receiving the data, the receiving end decapsulates the data according to the same network protocol and uses the check code to verify the integrity of the data; if the verification finds that the data is lost or erroneous, the receiving end will promptly ask the sending end to resend the data to ensure that the data received by the receiving end is complete and correct.

[0045] Furthermore, after receiving the pollution control equipment operating parameter set (including power data) and enterprise production process data from the production site, the remote monitoring center will conduct a comprehensive and in-depth analysis and collation of all data; in the complex process of assessing the risk of pollution accidents, in addition to the core operations such as assigning environmental impact values ​​to the relevant total amounts based on the previously carefully constructed pollution equipment process correlation matrix and taking full account of the real-time environmental status, an independent early warning analysis process is set up for the power data of the pollution control equipment; the details are as follows: Through the built-in data analysis model and algorithm, the power and power load data of the pollution control equipment are monitored and analyzed in real time. First, according to the historical data and the rated parameters of the equipment, a reasonable normal fluctuation range is set for the power and power load. For example, for a specific type of pollution control equipment, according to its product manual and a large amount of data accumulated during normal operation in the past, the normal range of its power under different working conditions is determined to be P1-P2, and the normal range of power load fluctuation rate is L1-L2. In the real-time data monitoring process, once the software detects that the power value P exceeds the P1-P2 range, or the power load value L exceeds the L1-L2 range, it is determined that an abnormal power situation has occurred.

[0046] When analysis finds that the power and power load of the pollution control equipment are abnormal, a comprehensive alarm mechanism will be triggered immediately; the alarm method covers multiple channels to ensure that relevant personnel can receive the alarm information in a timely and accurate manner; first, an alarm text message is sent to the pre-set mobile phone number of the relevant staff through the SMS platform; the text message content includes the alarm time, the name and number of the pollution control equipment with abnormal power, and the description of the abnormal situation (such as specific information such as excessive power or low power load); at the same time, the phone of the relevant personnel is automatically dialed and the alarm information is conveyed through voice prompts to ensure that even if the staff fails to check the text message in time, they can be reminded of the abnormal situation by phone; and at the site of the pollution control equipment, the sound and light alarm device will be immediately activated; the alarm light attracts the attention of on-site personnel with eye-catching flashing lights, and the alarm speaker emits a high-decibel alarm sound, alerting on-site personnel to the abnormal power of the equipment from both visual and auditory aspects.

[0047] After the alarm is issued, the response to the alarm is continuously tracked; and the time when the relevant personnel receive the alarm information is recorded in detail, such as the delivery time of the SMS feedback through the SMS platform, and the time when the phone is connected; at the same time, the response measures taken by the relevant personnel are recorded, including whether to go to the site to check the equipment, whether to try to restart or adjust the equipment, etc.; and the subsequent processing results are tracked and recorded, such as whether the equipment has resumed normal operation, if not, what is the cause of the failure, etc.; if the alarm is not responded to in time, for example, the relevant personnel have not made any feedback on the alarm within the set time (such as 15 minutes), or the processing effect is not good, and the equipment is still in an abnormal power state, the system will issue a reminder again; the reminder method can be to send a text message again, make a phone call, or even upgrade the alarm level; for example, upgrade the ordinary alarm to an emergency alarm, and increase the frequency of SMS and phone reminders to ensure that the problem is properly resolved.

[0048] At the same time, detailed records of each alarm due to abnormal power consumption are kept; the record content includes the alarm time, detailed description of the abnormal power consumption situation (such as specific power value, power load value and the degree of exceeding the normal range, etc.), alarm method (specific implementation of SMS, telephone, on-site sound and light alarm), response situation (the handling measures of relevant personnel and the final handling results), etc.; the above detailed records will be used for subsequent in-depth analysis and summary. Through data analysis of a large number of alarm records, the alarm strategy can be continuously optimized; for example, according to the frequency and characteristics of abnormal power consumption of different types of pollution control equipment, the alarm threshold is adjusted; according to the timeliness of the relevant personnel's response to the alarm and the handling effect, the priority and method of alarm notification are optimized, thereby improving the accuracy and reliability of the alarm system.

[0049] Through the above analysis and alarm process of power parameters, comprehensive and real-time monitoring of power data of pollution control equipment can be achieved, and timely alarms can be issued in various ways when the power is abnormal, ensuring the stable operation of pollution control equipment, effectively reducing the pollution risk caused by power problems, and further improving the reliability and accuracy of pollution control equipment operation and maintenance management based on wireless remote technology.

[0050] Embodiment 2: Figure 2 As shown, the pollution control equipment operation and maintenance alarm system based on wireless remote technology of the present invention specifically includes the following modules: The data collection module is used to collect pollution accident types, pollution control equipment operation parameter sets and enterprise production process sets corresponding to historical pollution accidents of pollutant-discharging enterprises; The correlation analysis module is used to perform correlation analysis on pollution accident types, pollution control equipment operation parameter sets, and enterprise production process sets to obtain the pollution equipment process correlation matrix; The parameter process acquisition and positioning module is used to remotely and in real time acquire the pollution control equipment operation parameter set and the enterprise production process set of the pollutant discharge enterprise, and locate the two in the pollution equipment process correlation matrix to extract the correlation of various types of pollution accidents; A correlation statistics module is used to independently count the correlations of the various types of pollution accidents extracted to obtain the total correlation amounts of the various types of pollution accidents; An environmental impact assignment module is used to obtain the real-time environmental status of the location of the pollutant-discharging enterprise, and consider the real-time environmental status to assign environmental impacts to the relevant total amounts of the various types of pollution accidents, so as to obtain the relevant assigned total amounts of the various types of pollution accidents; The alarm identification module is used to identify whether the total amount of the relevant assignment exceeds the preset pollution accident related threshold, and to issue a pollution control alarm based on the identification result.

[0051] By collecting and analyzing historical data, the system establishes the correlation between pollution accident types, pollution control equipment operating parameter sets and enterprise production process sets, enabling the system to effectively warn of potential pollution risks in the early stages of production or before production begins, thus achieving forward-looking risk management. By using wireless remote technology, the system can obtain the operating parameters of pollution control equipment and the production process information of enterprises in real time, ensuring the timeliness and accuracy of data; it helps the system to quickly respond to potential risks and reduce the possibility of false alarms and missed reports; the system not only considers the impact of pollution control equipment operating parameters and production processes on pollution accidents, but also combines the real-time environmental status of the location of the polluting enterprise to assign environmental impacts, which can more comprehensively and accurately reflect the risk level of pollution accidents; The system is designed flexibly and can be adjusted and optimized according to different pollutant-discharging enterprises and production processes. At the same time, with the continuous advancement of technology and the accumulation of data, the system can continuously expand and improve its functions to adapt to more complex pollution control needs. The system realizes real-time monitoring and early warning of pollution risks through automation and intelligent means, greatly reducing the burden of manual monitoring and improving work efficiency and accuracy. At the same time, the intelligent decision-making support function helps relevant personnel to quickly respond and reduce the occurrence of pollution accidents. The system helps reduce the occurrence of pollution accidents and protect the ecological environment. Through early warning and timely intervention, the system can reduce the emission of pollutants and reduce the negative impact on the environment; In summary, the pollution control equipment operation and maintenance alarm system can effectively solve the limitations of existing alarm methods and improve the efficiency and accuracy of environmental pollution prevention and control.

[0052] The various variations and specific embodiments of the pollution control equipment operation and maintenance alarm method based on wireless remote technology in the aforementioned embodiment 1 are also applicable to the pollution control equipment operation and maintenance alarm system based on wireless remote technology in this embodiment. Through the aforementioned detailed description of the pollution control equipment operation and maintenance alarm method based on wireless remote technology, those skilled in the art can clearly know the implementation method of the pollution control equipment operation and maintenance alarm system based on wireless remote technology in this embodiment, so for the sake of brevity of the specification, it will not be described in detail here.

[0053] In addition, the present application also provides an electronic device, including a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor. The transceiver, the memory, and the processor are respectively connected via a bus. When the computer program is executed by the processor, each process of the above-mentioned method for controlling output data is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be described here.

[0054] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the technical principles of the present invention. These improvements and modifications should also be regarded as the scope of protection of the present invention.

Claims

1. A pollution control equipment operation and maintenance alarm method based on wireless remote technology, characterized in that: The method comprises: Collect pollution accident types, pollution control equipment operation parameter sets and enterprise production process sets corresponding to historical pollution accidents of pollutant-discharging enterprises; Conduct correlation analysis on pollution accident types, pollution control equipment operating parameter sets, and enterprise production process sets to obtain the pollution equipment process correlation matrix; Remotely and in real time obtain the pollution control equipment operation parameter set and the enterprise production process set of the pollutant discharge enterprise, and locate the two in the pollution equipment process correlation matrix to extract the correlation of various types of pollution accidents; Independently count the correlations of the various types of pollution accidents extracted to obtain the total correlations of the various types of pollution accidents; Obtaining the real-time environmental status of the location of the pollutant-discharging enterprise, and considering the real-time environmental status, assigning environmental impacts to the relevant total amounts of the various types of pollution accidents, and obtaining the relevant assigned total amounts of the various types of pollution accidents; Identify whether there is a total amount of the related assigned values ​​that exceeds a preset pollution accident related threshold, and issue a pollution control alarm based on the identification result.

2. The pollution control equipment operation and maintenance alarm method based on wireless remote technology according to claim 1 is characterized in that: The pollution accident types, pollution control equipment operation parameter sets and enterprise production process sets correspond to each other in the time and space dimensions.

3. The pollution control equipment operation and maintenance alarm method based on wireless remote technology according to claim 1 is characterized in that: If there are m types of pollution accidents, n operating parameters of pollution control equipment, and k production processes of enterprises; the pollution equipment process correlation matrix is: Among them, r mnk It indicates the correlation between the operating parameters of the nth pollution control equipment and the production process of the kth enterprise and the occurrence of the mth pollution accident type.

4. The pollution control equipment operation and maintenance alarm method based on wireless remote technology according to claim 3 is characterized in that: The method for extracting the relevance of various types of pollution accidents includes: At the production site of the pollutant-discharging enterprise, the operating parameter set of the pollution control equipment and the production process set of the enterprise are obtained through sensors and monitoring equipment; Sending the collected pollution control equipment operation parameter set and the enterprise production process set of the pollutant discharge enterprise to the remote monitoring center; After receiving the data, the remote monitoring center will analyze and organize the data; match and locate the acquired pollution control equipment operating parameters and enterprise production process data with the dimensional information in the pollution equipment process related matrix; After completing the positioning, the element value of the corresponding position is extracted from the pollution equipment process correlation matrix. The element value is the correlation between the occurrence of various types of pollution accidents under the operating parameters of this pollution control equipment and the production process status of the enterprise.

5. The pollution control equipment operation and maintenance alarm method based on wireless remote technology according to claim 1 is characterized in that: If there are x relevant data for a certain type of pollution accident, the corresponding weights are w x , the formula for obtaining the relevant total amount of each type of pollution accident is: Among them, R represents the relevant total amount of pollution accident types, w i represents the weight of the i-th correlation data, r i Represents the i-th correlation data.

6. The pollution control equipment operation and maintenance alarm method based on wireless remote technology according to claim 1 is characterized in that: Identify whether there is a total amount of the related assigned values ​​that exceeds a preset pollution accident related threshold, and issue a pollution control alarm based on the identification result: Compare the calculated total values ​​of various pollution accident types with the preset pollution accident related thresholds one by one; In response to the total amount of the relevant assigned values ​​of a certain pollution accident type exceeding the corresponding preset threshold, it is determined that the pollution accident type has a high risk of occurrence; Generate alarm information, including the name of the pollution accident type, risk level, impact scope and recommended response measures; According to the preset alarm strategy, the alarm information is warned.

7. The pollution control equipment operation and maintenance alarm method based on wireless remote technology according to claim 6 is characterized in that: The factors affecting the setting of the preset pollution accident related thresholds include historical pollution accident data analysis, pollution control equipment operating parameter standards, enterprise production process characteristics, real-time environmental status changes and risk assessment.

8. A pollution control equipment operation and maintenance alarm system based on wireless remote technology, characterized in that: The system comprises: The data collection module is used to collect pollution accident types, pollution control equipment operation parameter sets and enterprise production process sets corresponding to historical pollution accidents of pollutant-discharging enterprises; The correlation analysis module is used to perform correlation analysis on pollution accident types, pollution control equipment operation parameter sets, and enterprise production process sets to obtain the pollution equipment process correlation matrix; The parameter process acquisition and positioning module is used to remotely and in real time acquire the pollution control equipment operation parameter set and the enterprise production process set of the pollutant discharge enterprise, and locate the two in the pollution equipment process correlation matrix to extract the correlation of various types of pollution accidents; A correlation statistics module is used to independently count the correlations of the various types of pollution accidents extracted to obtain the total correlation amounts of the various types of pollution accidents; An environmental impact assignment module is used to obtain the real-time environmental status of the location of the pollutant-discharging enterprise, and consider the real-time environmental status to assign environmental impacts to the relevant total amounts of the various types of pollution accidents, so as to obtain the relevant assigned total amounts of the various types of pollution accidents; The alarm identification module is used to identify whether the total amount of the relevant assignment exceeds the preset pollution accident related threshold, and to issue a pollution control alarm based on the identification result.

9. An electronic device, comprising a bus, a transceiver, a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the transceiver, the memory, and the processor are connected via the bus, wherein: When the computer program is executed by the processor, the steps in the method according to any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the computer program is executed by a processor, the steps in the method according to any one of claims 1 to 7 are implemented.

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