Environmental monitoring method, system and medium based on smart gas supervision Internet of Things

Abstract

This specification provides an environmental monitoring method, system and medium based on a smart gas monitoring Internet of Things, which relates to the field of gas monitoring. The method includes: determining the target enterprise users and the corresponding target monitoring points and target monitoring parameters based on gas monitoring data; obtaining ambient environment data; controlling the environmental monitoring equipment to collect target monitoring data; determining maintenance parameters based on target monitoring data and ambient environment data; generating maintenance instructions based on equipment operating status and maintenance parameters; and adjusting the frequency of gas monitoring data collection, storage space allocation parameters for gas monitoring data of different enterprise users, data cleaning parameters, and computing resource allocation parameters based on the execution results. The method can analyze the gas monitoring data of different enterprise users, dynamically evaluate the user's impact and risk on environmental protection, and perform maintenance processing when there is a risk, so as to meet the needs of effectively reducing environmental pollution.

Description

Technical Field

[0001] This specification relates to the field of gas monitoring, and in particular to environmental monitoring methods, systems and media based on smart gas monitoring Internet of Things. Background Art

[0002] After production and extraction, fuel gas or natural gas is generally filtered and purified at the gas station, but impurities such as nitrides and sulfides may still remain after filtration. These impurities may cause environmental pollution problems under inappropriate use environments / conditions. When gas-related companies use natural gas and / or fuel gas for production and processing activities, if they lack sufficient attention to environmental protection facilities, problems such as obsolescence of environmental protection facilities and improper management and maintenance may occur, thereby causing environmental pollution. While the companies themselves may face environmental penalties, it also increases the difficulty of supervision by government regulatory platforms and reduces the effectiveness of supervision.

[0003] Therefore, the aim is to provide an environmental monitoring method, system and medium based on a smart gas supervision Internet of Things, which can effectively monitor the pollution discharge of gas-related enterprises and improve the effectiveness of environmental protection facilities. Summary of the invention

[0004] One or more embodiments of the present specification provide an environmental monitoring method based on a smart gas supervision Internet of Things, the method being executed by a gas company management platform of a smart gas Internet of Things system, the method comprising: obtaining gas supervision data of at least one enterprise user based on a gas equipment object platform, and classifying the gas supervision data according to the enterprise user and storing it in an environmental data center; determining at least one target enterprise user based on the gas supervision data, and at least one target monitoring point and target monitoring parameters corresponding to the at least one target enterprise user; sending the at least one target monitoring point and the target monitoring parameters to a government gas management platform, the government gas management platform determining government environment sampling parameters based on government environment monitoring information, the at least one target monitoring point, and the target monitoring parameters, and sampling based on the government environment sampling parameters to obtain surrounding environment data, and sending the surrounding environment data to the gas company management platform; controlling the environmental monitoring equipment to sample the at least one target monitoring point according to the target monitoring parameters. The method comprises the steps of: monitoring the target monitoring data and the surrounding environment data, determining the equipment maintenance parameters of at least one target enterprise user based on the target monitoring data and the surrounding environment data, wherein the equipment maintenance parameters include the maintenance method and the maintenance time; generating at least one maintenance instruction based on the equipment operation status and the maintenance parameters, and sending the at least one maintenance instruction to the corresponding target enterprise user through the gas user platform; in response to receiving the confirmation feedback of the target enterprise user on the maintenance instruction, controlling the maintenance equipment to execute the maintenance instruction based on the gas company sensor network platform; obtaining the execution result of the at least one maintenance instruction, and adjusting the collection frequency of the gas equipment object platform to obtain the gas supervision data based on the execution result, and adjusting at least one of the storage space allocation parameters and data cleaning parameters of the gas supervision data of different enterprise users by the environmental protection data center; and adjusting the computing resource allocation parameters of the gas company management platform for supervising different enterprise users based on the collection frequency and the storage space allocation parameters.

[0005] One or more embodiments of the present specification provide an environmental monitoring system based on a smart gas monitoring Internet of Things, characterized in that the system includes a storage device and a processor, the storage device stores computer instructions; the processor is connected to the storage device; when executing the computer instructions, the processor causes the system to execute: based on the gas equipment object platform, obtain gas monitoring data of at least one enterprise user, and classify the gas monitoring data according to the enterprise user and store it in an environmental data center; based on the gas monitoring data, determine at least one target enterprise user, and at least one target monitoring point and target monitoring parameter corresponding to the at least one target enterprise user; send the at least one target monitoring point and the target monitoring parameter to the government gas management platform, the government gas management platform determines the government environment sampling parameters based on the government environment monitoring information, the at least one target monitoring point, and the target monitoring parameters, and samples and obtains surrounding environment data based on the government environment sampling parameters, and sends the surrounding environment data to the gas company management platform; control the environmental monitoring equipment to perform the following operations according to the gas monitoring data. The target monitoring parameters monitor the at least one target monitoring point to determine the target monitoring data; based on the target monitoring data and the surrounding environment data, determine the equipment maintenance parameters of the at least one target enterprise user, the equipment maintenance parameters including the maintenance method and the maintenance time; based on the equipment operation status and the maintenance parameters, generate at least one maintenance instruction, and send the at least one maintenance instruction to the corresponding target enterprise user through the gas user platform; in response to receiving the confirmation feedback of the target enterprise user on the maintenance instruction, control the maintenance equipment to execute the maintenance instruction based on the gas company sensor network platform; obtain the execution result of the at least one maintenance instruction, and adjust the collection frequency of the gas equipment object platform to obtain the gas supervision data based on the execution result, and adjust at least one of the storage space allocation parameters and data cleaning parameters of the gas supervision data of different enterprise users by the environmental protection data center; and based on the collection frequency and the storage space allocation parameters, adjust the computing resource allocation parameters of the gas company management platform for supervising different enterprise users.

[0006] One or more embodiments of the present specification provide a computer-readable storage medium, which stores computer instructions. When the computer instructions are executed by a processor, an environmental monitoring method based on a smart gas supervision Internet of Things as described in any embodiment of the present specification is implemented.

[0007] Some embodiments of the present specification include at least the following beneficial effects: by analyzing the gas supervision data of different corporate users, dynamically evaluating the user's impact and risk in environmental protection, and performing maintenance processing when risks exist, the effectiveness of environmental protection facilities can be improved to meet the needs of effectively reducing environmental pollution. BRIEF DESCRIPTION OF THE DRAWINGS

[0008] This specification will be further described in the form of exemplary embodiments, which will be described in detail by the accompanying drawings. These embodiments are not restrictive, and in these embodiments, the same number represents the same structure, wherein:

[0009] Figure 1 is an exemplary schematic diagram of a smart gas Internet of Things system according to some embodiments of this specification;

[0010] Figure 2 It is an exemplary flow chart of an environmental monitoring method based on a smart gas supervision Internet of Things according to some embodiments of this specification;

[0011] Figure 3 is an exemplary flow chart for determining target enterprise users according to some embodiments of this specification;

[0012] Figure 4 is an exemplary schematic diagram of a data evaluation model according to some embodiments of this specification;

[0013] Figure 5 This is an exemplary flow chart for determining equipment maintenance parameters according to some embodiments of this specification. DETAILED DESCRIPTION

[0014] In order to more clearly illustrate the technical solutions of the embodiments of this specification, the following is a brief introduction to the drawings required for the description of the embodiments. Obviously, the drawings described below are only some examples or embodiments of this specification. For ordinary technicians in this field, this specification can also be applied to other similar scenarios based on these drawings without creative work. Unless it is obvious from the language environment or otherwise explained, the same reference numerals in the figures represent the same structure or operation.

[0015] It should be understood that the "system", "device", "unit" and / or "module" used herein are a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, if other words can achieve the same purpose, the words can be replaced by other expressions.

[0016] As shown in this specification and claims, unless the context clearly indicates an exception, the words "a", "an", "an" and / or "the" do not refer to the singular and may also include the plural. Generally speaking, the terms "comprise" and "include" only indicate the inclusion of the steps and elements that have been clearly identified, and these steps and elements do not constitute an exclusive list. The method or device may also include other steps or elements.

[0017] Flowcharts are used in this specification to illustrate the operations performed by the system according to the embodiments of this specification. It should be understood that the preceding or following operations are not necessarily performed precisely in order. Instead, the steps may be processed in reverse order or simultaneously. At the same time, other operations may also be added to these processes, or one or more operations may be removed from these processes.

[0018] Figure 1 It is an exemplary schematic diagram of a smart gas Internet of Things system according to some embodiments of this specification. It should be noted that the following embodiments are only used to explain this specification and do not constitute a limitation of this specification.

[0019] like Figure 1 As shown, in some embodiments, the smart gas Internet of Things system 100 may include a government regulatory management platform 110, a government regulatory sensor network platform 120, a government regulatory object platform 130, a gas company sensor network platform 140, a gas equipment object platform 150, a gas user platform 160 and a gas service platform 170.

[0020] In some embodiments, one or more platforms in the smart gas IoT system 100 may exchange information and / or data through a network. In some embodiments, the network may be any one or more of a wired network or a wireless network.

[0021] The government supervision management platform 110 refers to a management platform for the government to conduct security supervision and management.

[0022] In some embodiments, the government supervision management platform 110 may include a government gas management platform 110-1 and a government safety management sub-platform 110-2. The government gas management platform 110-1 refers to a platform for the government to manage gas-related data, and the government safety management sub-platform 110-2 refers to a platform for the government to implement safety management of gas.

[0023] In some embodiments, the government gas management platform 110-1 may be configured to receive target monitoring points and target monitoring parameters. In some embodiments, the government gas management platform 110-1 may also be configured to determine government environment sampling parameters based on government environment monitoring information, target monitoring points, and target monitoring parameters, and to sample and acquire surrounding environment data based on the government environment sampling parameters, and send the surrounding environment data to the gas company management platform 130-1. For more information about the gas company management platform 130-1, see the relevant description below.

[0024] The government supervision sensor network platform 120 is a functional platform for managing sensor communication. The government supervision sensor network platform 120 can be an intermediate platform for realizing interaction between the government supervision management platform 110 and the government supervision object platform 130. In some embodiments, the government supervision sensor network platform 120 can realize the functions of sensing information sensor communication and controlling information sensor communication.

[0025] In some embodiments, the government regulatory sensor network platform 120 may include a government gas management department sensor network sub-platform 120-1 and a government safety management department sensor network sub-platform 120-2. The government gas management department sensor network sub-platform 120-1 refers to a connection platform for interaction between the government gas management platform 110-1 and the gas company management platform 130-1, and the government safety management department sensor network sub-platform 120-2 refers to a connection platform for interaction between the government safety management sub-platform 110-2 and the gas company management platform 130-1.

[0026] The government supervision object platform 130 is a platform for safety supervision of gas-related objects. In some embodiments, the government supervision object platform 130 can exchange information with the government supervision sensor network platform 120, the gas company sensor network platform 140 and the gas service platform 170.

[0027] In some embodiments, the government supervision object platform 130 may include a gas company management platform 130-1. The gas company management platform 130-1 refers to a comprehensive management platform for gas company information. In some embodiments, the gas company management platform 130-1 may interact with the gas service platform 170 and the government supervision sensor network platform 120. For example, the gas company management platform 130-1 may obtain confirmation feedback from corporate users uploaded by the gas user service 180 platform.

[0028] In some embodiments, the gas company management platform 130-1 can be configured to execute the environmental monitoring method based on the smart gas supervision Internet of Things described in any embodiment of this specification, which can be specifically referred to in Figure 2-Figure 5 .

[0029] The gas company sensor network platform 140 is a functional platform for comprehensive management of sensor communications.

[0030] In some embodiments, the gas company sensor network platform 140 may interact with the gas equipment object platform 150 and the gas company management platform 130-1. For example, the gas company sensor network platform 140 may obtain gas monitoring data through the gas equipment object platform 150 and transmit the gas monitoring data to the gas company management platform 130-1.

[0031] In some embodiments, in response to receiving the confirmation feedback of the enterprise user on the maintenance instruction uploaded by the gas service platform 170, the gas company sensor network platform 140 can control the maintenance equipment to execute the maintenance instruction. Among them, the enterprise user can input the confirmation feedback on the maintenance instruction in the gas user platform 160.

[0032] The gas equipment object platform 150 is a functional platform related to gas equipment and used for sensing information generation and controlling information execution.

[0033] In some embodiments, the gas equipment object platform 150 may be configured to interact with a variety of gas equipment. The various equipment may include at least one of gas equipment (e.g., gas meter, etc.), gas monitoring equipment (e.g., gas pressure monitoring device, temperature monitoring device, flow monitoring device), environmental protection facilities (e.g., waste gas treatment equipment, environmental monitoring equipment), maintenance equipment (e.g., repair equipment, cleaning equipment, etc.), etc.

[0034] In some embodiments, the gas equipment object platform 150 may interact with the gas company sensor network platform 140. For example, the gas equipment object platform 150 may obtain relevant data of the gas equipment (e.g., gas supervision data), and send the relevant data to the gas company management platform 130-1 through the gas company sensor network platform 140.

[0035] The gas user platform 160 is a platform for interacting with gas users. In some embodiments, the gas user platform 160 may be configured as a terminal device.

[0036] The gas user platform 160 can be used to record the usage information of gas users. Gas users may include corporate users, ordinary gas users (i.e., gas users), and the like.

[0037] In some embodiments, the gas user platform 160 may be configured to send at least one maintenance instruction to corresponding target enterprise users.

[0038] In some embodiments, the gas user platform 160 may exchange information and / or data with the gas company management platform 130-1 through the gas service platform 170. For example, the gas management platform 130-1 may send a maintenance instruction to the gas user platform 160 through the gas service platform 170, so as to send the maintenance instruction to the target enterprise user.

[0039] The gas service platform 170 is a platform for transmitting data from the gas user platform 160 , and is a connection platform for realizing interaction between the gas management platform 130 - 1 and the gas user platform 160 .

[0040] In some embodiments, the gas service platform 170 may be configured to perform data interaction with the gas management platform 130 - 1 and the gas user platform 160 .

[0041] It should be noted that the above description of the smart gas Internet of Things system 100 is only for the convenience of description and does not limit this specification to the scope of the embodiments cited.

[0042] Figure 2 This is an exemplary flow chart of an environmental monitoring method based on a smart gas monitoring Internet of Things according to some embodiments of this specification. In some embodiments, process 200 can be executed by a gas company management platform of a smart gas Internet of Things system. Figure 2 As shown, process 200 includes the following steps.

[0043] Step 210: Obtain gas supervision data of at least one corporate user based on the gas equipment object platform, and classify the gas supervision data according to the corporate user and store it in the environmental protection data center.

[0044] For more information about the gas equipment object platform, see Figure 1 The gas equipment object platform can measure the gas monitoring data of various gas equipment through gas monitoring sensors.

[0045] Corporate users may include companies that use gas for production, processing, and manufacturing activities. Corporate users may also include companies that mine and produce gas and operate and manage gas services. For example, corporate users may include gas supply companies, companies related to gas engineering construction and equipment installation, etc.

[0046] The gas supervision data is the relevant data obtained by supervising the gas usage of enterprise users. For each enterprise user, the corresponding gas supervision data can be obtained. In some embodiments, the gas supervision data may include at least one of gas usage data, exhaust gas emissions, and exhaust gas treatment equipment operation data.

[0047] In some embodiments, the gas usage data includes gas usage of different gas appliances at different time periods.

[0048] The exhaust gas emission is the amount of exhaust gas generated by the combustion of gas. The exhaust gas emission can be represented by the gas volume. In some embodiments, the exhaust gas emission can be obtained by a flow rate sensor configured by the gas equipment object platform. The flow rate sensor can measure the gas flow rate, and the exhaust gas emission can be determined based on the gas flow rate and the cross-sectional area of ​​the gas channel.

[0049] The exhaust gas treatment device operation data is the relevant data of the exhaust gas treatment device when it is in operation. In some embodiments, the exhaust gas treatment device operation data may include the operation period, operation power, etc. of the exhaust gas treatment device.

[0050] Waste gas treatment equipment is a device that uses different process technologies to treat waste gas to reduce waste gas pollution. For example, waste gas treatment equipment can include electrostatic dust removal equipment, catalytic combustion equipment, photocatalytic equipment, etc.

[0051] The environmental data center can be used to aggregate and store data. In some embodiments, the environmental data center can be set up on the gas company management platform and used to aggregate and store gas supervision data. For more information about the gas company management platform, see Figure 1 and its related description.

[0052] In some embodiments, the gas equipment object platform can classify and store gas data into different partitions of the environmental protection data center according to enterprise users. For example, the gas data of the same enterprise user is stored in the same partition, and different enterprise users are stored in different partitions.

[0053] In some embodiments, the gas equipment object platform can also store different types of data in the gas monitoring data into different partitions in the storage space according to the data type. For example, if the gas supervision data of enterprise user X is stored in the corresponding partition A, the gas usage data of enterprise user X can be stored in sub-partition A-1 under partition A, the exhaust gas emissions of enterprise user X can be stored in sub-partition A-2, and the exhaust gas treatment equipment operation data of enterprise user X can be stored in sub-partition A-3.

[0054] Step 220: Determine at least one target enterprise user, and at least one target monitoring point and target monitoring parameter corresponding to the at least one target enterprise user based on the gas supervision data.

[0055] The target enterprise user is the enterprise user that needs further environmental monitoring. If there is an abnormality in the gas supervision data of the enterprise user, it is necessary to further conduct environmental monitoring on the enterprise user, and the enterprise user can be the target enterprise user.

[0056] The target monitoring point refers to the point where the target monitoring device is activated for monitoring. The target monitoring device refers to the environmental monitoring device that is activated for environmental monitoring among multiple environmental monitoring devices configured by the enterprise user.

[0057] Environmental monitoring equipment refers to equipment used to monitor environmental pollution. In some embodiments, environmental monitoring equipment may include air and exhaust gas detection equipment, water quality detection equipment, soil detection equipment, etc.

[0058] In some embodiments, the environmental monitoring equipment includes at least one of a fixed monitoring equipment and a mobile monitoring equipment. A fixed monitoring equipment is an environmental monitoring equipment with a fixed position. A mobile monitoring equipment refers to an environmental monitoring equipment with a non-fixed position. In some embodiments, the mobile monitoring equipment may be an environmental monitoring equipment mounted on a movable device such as a drone or an environmental monitoring vehicle.

[0059] In some embodiments, the target monitoring point may include at least one of a fixed monitoring point and a mobile monitoring point. A fixed monitoring point refers to a point where a fixed monitoring device is activated for monitoring. Multiple installation locations in the area where the enterprise user is located are pre-installed with multiple fixed monitoring devices. When the installation location is determined as a fixed monitoring point (for example, the fixed monitoring device at the installation location is activated), the fixed monitoring device at the installation location performs monitoring according to the target monitoring parameters. When the installation location is not determined as a fixed monitoring point, the fixed monitoring device at the installation location does not perform monitoring, or performs monitoring at an extremely low monitoring frequency (for example, once a week, once a month, etc.).

[0060] Mobile monitoring points refer to the points where mobile monitoring equipment is started for monitoring. After the mobile monitoring points are determined, the gas company management platform can control the mobile monitoring equipment to go to the mobile monitoring points for environmental monitoring.

[0061] The target monitoring parameters are parameters for controlling the target monitoring device to monitor. In some embodiments, the target monitoring parameters may include the monitoring period of the target monitoring device, the monitoring frequency of different monitoring periods, etc. For the target monitoring device, due to the limited battery life of mobile devices such as drones, and the limited number of mobile monitoring devices themselves, continuous monitoring cannot be achieved, so it is necessary to set the monitoring period and monitoring frequency.

[0062] In some embodiments, the gas company management platform can determine at least one target enterprise user, and at least one target monitoring point and target monitoring parameter corresponding to the at least one target enterprise user based on gas supervision data and historical reference values.

[0063] In some embodiments, the gas company management platform may target enterprise users whose gas usage data and exhaust gas emissions exceed the corresponding historical reference value. In some embodiments, the gas company management platform may target enterprise users whose exhaust gas treatment equipment operation data is lower than the corresponding historical reference value.

[0064] The historical reference value is a reference value for determining whether to use the gas regulatory data as a target corporate user. In some embodiments, the gas usage data, exhaust gas emissions, and exhaust gas treatment equipment operation data may each correspond to a historical reference value. The historical reference value may be the historical average of the corresponding data. If one of the gas usage data and exhaust gas emissions exceeds the corresponding historical reference value, the corporate user may have a greater impact on the environment and requires key monitoring. If the exhaust gas treatment equipment operation data is lower than the corresponding historical reference value, the corporate user may not be strong enough in treating the gas exhaust and also requires key monitoring.

[0065] In some embodiments, the gas company management platform can determine the number of monitoring points required based on the difference between the gas supervision data of the target enterprise user and the historical reference value of the target enterprise user. The greater the difference between the gas supervision data and the historical reference value, the more monitoring points are required.

[0066] In some embodiments, the gas company management platform can enable a corresponding number of fixed monitoring points according to the required number of monitoring points, wherein the intervals between the enabled fixed monitoring points can be evenly distributed, and at most all fixed monitoring devices can be enabled.

[0067] In some embodiments, when the total number of installation locations of fixed monitoring equipment of the target enterprise user is less than the required number of monitoring points, the gas company management platform can enable mobile monitoring points to supplement them, and the positions of the mobile monitoring points can be evenly set between the gaps of the fixed monitoring points.

[0068] In some embodiments, the gas company management platform can determine the corresponding target monitoring parameters for different target monitoring points. In some embodiments, the target monitoring parameters corresponding to the fixed monitoring points can be determined based on the preset monitoring frequency. For example, the gas use period can be used as the monitoring period corresponding to the fixed monitoring point, and the preset monitoring frequency can be determined as the monitoring frequency corresponding to the fixed monitoring point. In some embodiments, the target monitoring parameters corresponding to the mobile monitoring point can be determined based on the endurance of the mobile monitoring device. For example, the gas use period can be used as the monitoring period corresponding to the mobile monitoring point, and the monitoring frequency corresponding to the mobile monitoring point can be determined according to the length of the monitoring period and the endurance of the device. The better the endurance of the device and the shorter the length of the monitoring period, the greater the monitoring frequency can be. Among them, the gas use period refers to the time period when the enterprise user uses gas.

[0069] In some embodiments, the gas company management platform can also determine the degree of match between the gas usage data and the exhaust gas emissions and the exhaust gas treatment equipment operation data, and determine at least one target enterprise user based on the degree of match. For more information on how to determine the target enterprise user by the degree of match, please refer to Figure 3 and related instructions.

[0070] Step 230, at least one target monitoring point and target monitoring parameters are sent to the government gas management platform. The government gas management platform determines the government environment sampling parameters based on the government environment monitoring information, at least one target monitoring point and target monitoring parameters, and samples to obtain surrounding environment data based on the government environment sampling parameters, and sends the surrounding environment data to the gas company management platform.

[0071] In some embodiments, the gas company management platform can send at least one target monitoring point and target monitoring parameters to the government gas management platform. For example, at least one target monitoring point and target monitoring parameters can be transmitted to the government gas management platform through the government regulatory sensor network platform. For more information about the government gas management platform, please refer to Figure 1 and related instructions.

[0072] Government environmental monitoring information is information related to environmental protection facilities set up by the government environmental monitoring department (hereinafter referred to as the environmental protection department). In some embodiments, the government environmental monitoring information includes the types of government monitoring points and government monitoring equipment arranged by the environmental protection department in the natural environment. Government monitoring points are monitoring points arranged by the environmental protection department, and government monitoring equipment is environmental monitoring equipment arranged by the environmental protection department.

[0073] Government environmental sampling parameters are parameters that control the sampling of the environment by government monitoring equipment. For example, they include the time period and frequency of the sampling of the environment by government monitoring equipment. It should be noted that the location where the government monitoring equipment monitors is not affected by the gas company, but the sampling data of the government monitoring equipment can be adjusted according to the needs of the gas company to achieve the surrounding environment data that meets the needs of the target enterprise users while meeting the government's environmental monitoring needs.

[0074] In some embodiments, the government gas management platform can match at least one surrounding monitoring device in the government environment monitoring information based on the location of at least one target monitoring point and a preset distance. The surrounding monitoring device is a government monitoring device that is close to the location of the target monitoring point. In some embodiments, the government gas management platform can use the monitoring period and monitoring frequency in the target monitoring parameters as the monitoring period and monitoring frequency of the surrounding monitoring device to obtain the government environment sampling parameters.

[0075] The surrounding environment data is the environmental monitoring data of the area where the target enterprise user is located, among the data monitored by the environmental protection department. For example, the air quality in the area, the types and contents of air pollutants (for example, sulfides, nitrides, etc.). In some embodiments, the surrounding environment data may be environmental monitoring data within a certain range around the location of the target enterprise user. For example, within a circular range with the location of the target enterprise user as the center and a radius of 100 meters, 500 meters, 1 kilometer, 3 kilometers, 5 kilometers or 10 kilometers. In some embodiments, the government gas management platform can control the surrounding monitoring equipment to sample according to the government environmental sampling parameters, obtain the surrounding environment data, and send the surrounding environment data to the gas company management platform through the government regulatory sensor network platform.

[0076] Step 240: Control the environmental monitoring equipment to monitor at least one target monitoring point according to the target monitoring parameters to determine the target monitoring data.

[0077] The target monitoring data refers to the environmental monitoring data obtained by monitoring in the area where the target enterprise user is located. In some embodiments, the target monitoring data may include the type of waste gas, the content of waste gas, etc. In some embodiments, the type of waste gas may include sulfide, nitrogen oxide, etc.

[0078] In some embodiments, the gas company management platform can control the environmental monitoring equipment at the corresponding target monitoring point to perform monitoring at the monitoring frequency during the monitoring period based on the target monitoring parameters to obtain the target monitoring data.

[0079] Step 250, determining equipment maintenance parameters of at least one target enterprise user based on the target monitoring data and the surrounding environment data.

[0080] For more information about gas equipment and exhaust gas treatment equipment, please refer to Figure 1 and Figure 2 and its related description.

[0081] Equipment maintenance parameters refer to parameters of maintenance equipment. In some embodiments, equipment maintenance parameters may include maintenance parameters of gas equipment and / or maintenance parameters of exhaust gas treatment equipment. In some embodiments, maintenance parameters may include maintenance methods and maintenance time. In some embodiments, maintenance equipment for maintenance may include cleaning equipment, maintenance equipment, etc.

[0082] The maintenance method is a method of maintaining and servicing the equipment. In some embodiments, the maintenance method may include one or any combination of equipment cleaning, consumables replacement, equipment overhaul, equipment upgrade, etc. Among them, equipment cleaning and consumables replacement are maintenance methods with lower maintenance intensity, and equipment overhaul and equipment upgrade are maintenance methods with higher maintenance intensity.

[0083] Maintenance time refers to the time it takes for equipment to be maintained and serviced. Maintenance time can correspond to maintenance methods, and different maintenance methods require different maintenance times.

[0084] In some embodiments, in response to the exhaust gas content in the target monitoring data being higher than the content threshold, and the pollutant content in the surrounding environment data being abnormally increased, the gas company management platform can determine the maintenance parameters based on the last maintenance time and the last maintenance method. If the last maintenance method was equipment cleaning or consumable replacement, and the time from the last maintenance time to the present has exceeded the equipment cleaning cycle and the consumable replacement cycle, then the maintenance method for this time is determined to be equipment cleaning and / or consumable replacement, and the maintenance time for this time is determined to be the most recent non-production time of the target enterprise user. If the time from the last maintenance time to the present does not exceed the equipment cleaning cycle and the consumable replacement cycle, then the maintenance method for this time is determined to be equipment maintenance, and whether the equipment needs to be upgraded is determined based on the maintenance results. If there is no problem with the maintenance, but the exhaust gas content is high, it means that the equipment no longer meets the requirements and the equipment needs to be replaced. At the same time, the maintenance time for this time is determined to be the most recent non-production time of the target enterprise user.

[0085] In some embodiments, the gas company management platform can also determine the equipment maintenance parameters by determining the equipment operation status. For more information on how to determine the equipment maintenance parameters based on the equipment operation status, please refer to Figure 5 and related instructions.

[0086] Step 260, based on the equipment operating status and equipment maintenance parameters, at least one maintenance instruction is generated, and the at least one maintenance instruction is sent to the corresponding target enterprise users through the gas user platform.

[0087] The equipment operation status is the degree to which the current operation effect of the equipment can reach the standard operation effect. The standard operation effect can be the operation effect of a new equipment. For example, the equipment operation status can be that the current operation effect can reach 20% of the standard operation effect.

[0088] For more information on how to determine the operating status of a device, see Figure 5 The description of machine learning will not be repeated here.

[0089] The maintenance instruction is an instruction for performing maintenance on the equipment. In some embodiments, the maintenance instruction may include performing maintenance on the equipment (eg, gas equipment and / or exhaust gas treatment equipment) according to the maintenance method and maintenance time.

[0090] In some embodiments, the gas company management platform may generate at least one maintenance instruction based on the equipment operating status and equipment maintenance parameters. For example, if the equipment operating status is poor, a maintenance instruction may be generated based on the equipment maintenance parameters.

[0091] In some embodiments, for each target enterprise user, the gas company management platform can determine the maintenance instructions corresponding to the target enterprise user, and send the maintenance instructions to the target enterprise user through the gas user platform. For more information about the gas user platform, please see Figure 1 and related instructions.

[0092] Step 270, in response to receiving confirmation feedback of the target enterprise user on the maintenance instruction, controlling the maintenance equipment to execute the maintenance instruction based on the gas company's sensor network platform.

[0093] When the target enterprise user issues a confirmation feedback on the maintenance instruction, it means that the target enterprise user agrees to perform maintenance in accordance with the maintenance instruction. The gas company management platform can receive the confirmation feedback of the target enterprise user on the maintenance instruction through the gas service platform.

[0094] For more information about the gas company sensor network platform and gas equipment object platform, please see Figure 1 and related instructions.

[0095] Step 280, obtain the execution result of at least one maintenance instruction, and based on the execution result, adjust the frequency of gas equipment object platform to obtain gas supervision data, and adjust at least one of the storage space allocation parameters and data cleaning parameters of the environmental protection data center for gas supervision data of different enterprise users.

[0096] The execution result is feedback on the execution of the maintenance instruction. The execution result may include whether the target enterprise user performs maintenance on time and whether it is executed in accordance with the maintenance method. In some embodiments, the gas company management platform can adjust the actual execution of the maintenance instruction according to the actual situation of the enterprise. For example, the execution time of the maintenance instruction can be adjusted according to the production needs of the enterprise.

[0097] In some embodiments, the same maintenance instruction may have multiple execution results. For example, when a maintenance instruction is executed for the first time, if the instruction cannot be executed due to actual circumstances, the execution result may be "delayed execution and next execution time". When the instruction is executed next time, the execution result may be updated to "execution completed and execution completion time".

[0098] In some embodiments, the gas company management platform can obtain the execution results of the maintenance instructions through the gas company sensor network platform.

[0099] The acquisition frequency is the frequency at which the gas equipment object platform acquires gas supervision data. In some embodiments, the gas equipment object platform may acquire gas supervision data at a certain acquisition frequency, for example, daily, weekly, etc.

[0100] In some embodiments, in response to the execution result that the maintenance instruction has been executed, the gas company management platform can lower the collection frequency. After the maintenance instruction is executed, it is highly likely that no problem will occur soon, so there is no need for high-frequency supervision, which can save supervision resources, such as storage resources and computing resources.

[0101] In some embodiments, in response to the execution result that the maintenance instruction has been executed, the gas company management platform can adjust the collection frequency according to the maintenance method in the maintenance instruction. For example, if the maintenance method is pipeline cleaning and consumables replacement, the collection frequency can be determined according to the equipment cleaning cycle or the consumables replacement cycle. When it is in the equipment cleaning cycle or the consumables replacement cycle, the collection frequency is adjusted to low-frequency supervision; when it is not in the equipment cleaning cycle or the consumables replacement cycle, the collection frequency is adjusted to high-frequency supervision. Among them, supervision with a collection frequency lower than the first frequency threshold can be low-frequency supervision, and supervision with a collection frequency higher than the second frequency threshold can be high-frequency supervision. The first frequency threshold is less than or equal to the second frequency threshold. The first frequency threshold and the second frequency threshold can be system default values, manually preset values, etc.

[0102] The storage space allocation parameter is the storage space size of the partition in the green data center.

[0103] In some embodiments, the gas company management platform can determine the storage space allocation parameters according to the collection frequency. For example, the data volume of gas supervision data of different enterprise users in the same time period can be calculated according to the collection frequency, and the storage space size can be allocated according to the proportion of the data volume. The higher the collection frequency, the more data is collected, and the larger the storage space is allocated.

[0104] The data cleaning parameters are parameters for the environmental protection data center to clean up the data. In some embodiments, the data cleaning parameters may include cleaning time, cleaning frequency, etc. In some embodiments, if the execution result is to confirm that the maintenance instruction has been actually executed, the gas company management platform may determine the cleaning time to immediately clean up the gas supervision data used when the maintenance parameters were last determined.

[0105] Step 290, based on the acquisition frequency and storage space allocation parameters, adjust the computing resource allocation parameters of the gas company management platform for supervising different corporate users.

[0106] The computing resource allocation parameters are related parameters used by the gas company management platform to calculate and process the gas supervision data of enterprise users.

[0107] In some embodiments, more computing resources can be allocated to enterprise users with higher collection frequency and larger partition storage space. The higher the collection frequency, the larger the amount of gas monitoring data collected; the larger the storage space, the larger the amount of gas monitoring data stored. For such enterprise users, it is more necessary to process the stored gas monitoring data in a timely manner. In general, the enterprise users with higher collection frequency are more likely to be enterprise users with higher environmental risks, and they need to process gas monitoring data in a timely manner to strengthen their environmental protection supervision.

[0108] In the embodiments of this specification, the gas supervision data of different corporate users can be analyzed, the environmental impact and risks of the users can be dynamically evaluated, and maintenance can be performed when risks exist to meet the needs of effectively reducing environmental pollution.

[0109] Figure 3 FIG. 300 is an exemplary flow chart of determining target enterprise users according to some embodiments of this specification. In some embodiments, process 300 may be executed by a company management platform. Figure 3 As shown, process 300 includes the following steps.

[0110] Step 310, for each corporate user, based on the gas supervision data corresponding to the corporate user, determine the degree of matching between the gas usage data and the exhaust gas emission and the exhaust gas treatment equipment operation data.

[0111] For more information about corporate users, gas regulatory data, gas usage data, exhaust gas emissions and exhaust gas treatment equipment operation data, please refer to Figure 2 And the related description will not be repeated here.

[0112] The matching degree is data used to characterize the conformity between the exhaust gas treatment and the gas use. In some embodiments, the matching degree may be a fusion result of a first matching degree between the gas use data and the exhaust gas treatment equipment operation data and a second matching degree between the exhaust gas emission and the exhaust gas treatment equipment operation data. For example, the matching degree may be a weighted or summed result of the first matching degree and the second matching degree. The weight may be a system preset value or a manually preset value, etc.

[0113] In some embodiments, the gas company management platform may determine the degree of matching in a variety of ways.

[0114] In some embodiments, in response to the gas usage duration in the gas usage data not exceeding the operating duration of the exhaust gas treatment device, the first matching degree can be determined based on the time difference between the gas usage duration in the gas usage data and the operating duration of the exhaust gas treatment device. For more information about the gas usage duration, please refer to the subsequent description.

[0115] In some embodiments, in response to the gas usage time in the gas usage data not exceeding the operating time of the exhaust gas treatment device, the second matching degree can be determined according to the difference between the exhaust gas emission and the operating power of the exhaust gas treatment device. For example, the exhaust gas emission power is determined according to the exhaust gas emission per unit time, and then the exhaust gas emission power is compared with the operating power of the exhaust gas treatment device to determine the difference. The smaller the difference, the higher the corresponding matching degree. If the operating time of the treatment device exceeds the gas usage time and the operating power exceeds the power specified by the exhaust gas emission, it can be regarded as no difference, and the corresponding second matching degree is the highest.

[0116] In some embodiments, the gas company management platform can divide the gas usage data and exhaust gas emissions according to continuous usage periods, determine the gas segmentation data and exhaust gas segmentation data for different continuous usage periods; based on the gas segmentation data and exhaust gas segmentation data, determine whether there is a need for exhaust gas treatment in each continuous usage period; based on the exhaust gas treatment demand and the exhaust gas treatment equipment operation data, determine the degree of matching.

[0117] The continuous use period is the period when the gas use is not interrupted. The gas company management platform can directly extract the continuous time period with gas usage in the gas use data.

[0118] The gas segmentation data refers to the gas usage data corresponding to the continuous use period. For example, the gas segmentation data includes the gas usage in the continuous use period. The exhaust gas segmentation data refers to the exhaust gas emission corresponding to the continuous use period.

[0119] The demand for waste gas treatment is whether waste gas treatment is needed. If the gas itself can be completely burned, or the gas consumption is very small (for example, only equivalent to the daily consumption of several ordinary users), then the demand for waste gas treatment may be no demand. Since the activation of waste gas treatment equipment itself consumes electricity and accelerates equipment aging, which is not conducive to environmental protection, it is not necessary to turn on the waste gas treatment equipment every time gas is used. If only a small amount of gas is used and no other production waste gas is generated, there is no need to require the waste gas treatment equipment to be turned on.

[0120] In some embodiments, the gas company management platform can set the minimum gas flow rate based on exhaust gas emission requirements and historical experience; calculate the minimum gas volume and minimum exhaust gas volume for different continuous usage periods based on the minimum gas flow rate; if the gas segment usage data exceeds the minimum gas flow rate, or the exhaust gas segment data exceeds the minimum exhaust gas volume, it can be determined that there is a demand for exhaust gas treatment.

[0121] In some embodiments, the gas company management platform can use the product of the minimum gas flow rate and the duration as the minimum gas volume, and then determine the minimum waste gas volume based on the minimum gas volume. For example, based on experience, the waste gas volume generated by the complete combustion of 1L of gas is 1.2 liters, so the minimum waste gas volume can be calculated as 120% of the minimum gas volume.

[0122] In some embodiments, the gas company management platform can determine the waste gas treatment requirements based on the degree of combustion completeness. The degree of combustion completeness refers to the degree of completeness of gas combustion. When the gas is not completely burned, waste gas will be generated to pollute the atmosphere. If the gas can be fully burned, there is no need for waste gas treatment. Therefore, the waste gas treatment requirements are related to the degree of combustion completeness.

[0123] In some embodiments, the gas company management platform can evaluate the combustion completeness of each continuous use period based on the gas segmentation data and the exhaust gas segmentation data, and determine the exhaust gas treatment requirements based on the combustion completeness and the gas segmentation data of each continuous use period.

[0124] In some embodiments, the gas company management platform can calculate the theoretical exhaust gas volume after full combustion based on the gas usage in the gas segmentation data, and determine the degree of combustion sufficiency based on the ratio of the theoretical exhaust gas volume to the exhaust gas volume in the exhaust gas segmentation data. The theoretical exhaust gas volume after full combustion can be calculated based on experience.

[0125] In some embodiments, the gas company management platform may determine that there is a need for exhaust gas treatment during continuous usage periods when the combustion completeness is lower than a preset completeness threshold (eg, 95%) and the gas usage in the gas segmentation data is lower than the minimum gas usage.

[0126] In some embodiments, the waste gas treatment demand is also related to the current atmospheric self-purification capacity. The lower the atmospheric self-purification capacity, the higher the waste gas treatment demand at the same combustion completeness. For example, it may change from no demand to demand. The atmospheric self-purification capacity is the ability of pollutants in the atmosphere to be removed from the atmosphere or the concentration to be reduced through natural processes. The atmospheric self-purification capacity can be determined by obtaining statistical data from the environmental protection department through the government supervision and management platform.

[0127] In the embodiments of the present specification, the exhaust gas treatment requirement is determined by calculating the combustion completeness, which can make the determination result of the exhaust gas treatment requirement more accurate.

[0128] In some embodiments, the gas company management platform can determine the degree of matching based on the exhaust gas treatment demand and the exhaust gas treatment equipment operation data.

[0129] In some embodiments, the gas company management platform can determine the exhaust gas treatment demand as a continuous use period with demand, determine the sub-matching degree of each continuous use period according to the above-mentioned matching degree determination process, and average the sub-matching degrees to obtain the matching degree. For example, the sub-matching degree of each continuous use period can be determined based on the difference between the duration of each continuous use period and the operating duration of the exhaust gas treatment equipment; or the sub-matching degree of each continuous use period can be determined based on the difference between the exhaust gas segmentation data of each continuous use period and the operating power of the exhaust gas treatment equipment.

[0130] In the embodiments of this specification, the gas usage data and exhaust gas emissions are segmented to determine the matching degree corresponding to each segment, and to more accurately judge whether the enterprise user needs further monitoring and evaluate its environmental risks.

[0131] Step 320: Determine at least one target enterprise user based on the matching degree.

[0132] In some embodiments, the company management platform may use enterprise users whose matching degree is lower than a matching threshold as target enterprise users. The matching threshold may be preset based on experience.

[0133] In some embodiments, the company management platform can use enterprise users whose matching degree is lower than a first matching threshold or whose matching degree is higher than a second matching threshold as target enterprise users. Both the first matching threshold and the second matching threshold can be preset, and the first matching threshold is lower than the second matching threshold.

[0134] If the matching degree is too low, it means that there are many discrepancies between the exhaust gas treatment and the gas usage and / or exhaust gas volume. It may be that the enterprise user may not perform exhaust gas treatment as required, which requires key monitoring. If the matching degree is too high, it means that the exhaust gas treatment equipment of the enterprise user is under heavy load, and there may be problems such as excessive equipment loss and poor exhaust gas treatment effect, which also requires key monitoring.

[0135] In the embodiment of the present specification, the result of determining the target enterprise user by the first matching threshold and the second matching threshold is more accurate, which is conducive to evaluating the environmental protection risk of the enterprise user.

[0136] In some embodiments, the first matching threshold and the second matching threshold can be adjusted based on the historical environmental pollution value of the enterprise user. The higher the historical environmental pollution value, the higher the possibility that the exhaust gas emissions of the enterprise user do not meet the requirements. The gas company management platform can increase the preset first matching threshold and lower the preset second matching threshold to focus on monitoring the enterprise users with higher historical environmental pollution values ​​as much as possible. For more information about environmental pollution values, please refer to Figure 5 and its related description.

[0137] In the embodiments of this specification, the result of determining the target enterprise user through historical environmental pollution values ​​is more accurate, which is conducive to evaluating the environmental protection risks of the enterprise user.

[0138] In some embodiments, the gas company management platform can determine the sub-matching degree of gas segmentation data and exhaust gas segmentation data in multiple continuous usage periods and the operating data of the exhaust gas treatment equipment; determine the environmental protection value of the corporate user based on the sub-matching degree corresponding to multiple continuous usage periods, and adjust the target corporate user based on the environmental protection value.

[0139] The environmental protection value is the environmental protection degree of the enterprise's gas use. The environmental protection value can be used to represent the numerical value of the standardization degree of the enterprise's waste gas treatment.

[0140] In some embodiments, the gas company management platform can determine the environmental protection value of the enterprise user in a variety of ways based on the sub-matching degrees corresponding to multiple continuous use periods, such as taking the mode as the environmental protection value of the enterprise user, taking the sum as the environmental protection value of the enterprise user, etc.

[0141] In some embodiments, the gas company management platform can determine the environmental protection value by weighted summation based on the sub-matching degree of multiple continuous use periods. The weight of the weighted summation can be determined based on the gas segmentation data of multiple continuous use periods. The higher the gas usage in the gas segmentation data, the more the enterprise needs to standardize gas waste gas treatment, so the continuous use period with higher gas usage has a higher corresponding weight.

[0142] In the embodiment of the present specification, adjusting the target users by the environmental protection value can accurately determine the target enterprise users with higher environmental protection risks.

[0143] Step 330: Determine at least one target monitoring point and target monitoring parameter corresponding to at least one target enterprise user based on the gas supervision data of at least one target enterprise user.

[0144] For more information about target monitoring points and target monitoring parameters, see Figure 2 And the related descriptions are not repeated here.

[0145] In some embodiments, the gas company management platform can determine environmentally sensitive areas based on the environmental information of at least one target enterprise user; based on the environmentally sensitive areas, determine at least one group of candidate monitoring points and corresponding candidate monitoring parameters; evaluate the data sufficiency of environmental monitoring data under at least one group of candidate monitoring points and corresponding candidate monitoring parameters based on a data evaluation model; based on the data sufficiency, determine at least one target monitoring point and target monitoring parameter.

[0146] Environmentally sensitive areas are areas where environmental quality is greatly affected by pollutants in exhaust gas, such as areas with surrounding lakes and rivers (pollutants such as sulfides and nitrides are easily soluble in water), areas where people gather and live (pollutants can directly affect people's health), etc.

[0147] In some embodiments, the gas company management platform can select a number of points between the environmentally sensitive area and the target enterprise user according to different monitoring densities as a group of candidate monitoring points, and Figure 2 The corresponding candidate monitoring parameters are determined by the method of determining the target monitoring parameters in . The monitoring density can be reflected as the spacing between candidate environmental monitoring points of the same type (for example, all fixed points or mobile points). The larger the spacing, the smaller the monitoring density.

[0148] Data sufficiency refers to the value of the sufficiency of environmental monitoring data used to evaluate the effect of enterprise waste gas treatment. Among them, environmental monitoring data is monitored by a set of candidate monitoring points and candidate monitoring parameters.

[0149] The data evaluation model is a model for data sufficiency. In some embodiments, the data evaluation model is a machine learning model, for example, a convolutional neural network model, a time series model, a deep neural network (DNN) model, or a combination thereof.

[0150] In some embodiments, Figure 4 As shown, the data evaluation model 420 may include a feature extraction layer 420-1 and a data evaluation layer 420-2. Both the feature extraction layer 420-1 and the data evaluation layer 420-2 may be DNN models.

[0151] In some embodiments, the input of the feature extraction layer 420 - 1 may include candidate monitoring points and candidate monitoring parameters 410 represented on the enterprise gas layout map, and the output of the feature extraction layer 420 - 1 may include monitoring features 430 .

[0152] The enterprise gas layout diagram is a layout diagram including the coordinate information of gas equipment, waste gas treatment equipment, waste gas emission points, target monitoring points, etc. in the target enterprise. Candidate monitoring points can be marked on the enterprise layout diagram based on the coordinate information.

[0153] Monitoring feature 430 can be used to characterize the monitoring strength of candidate monitoring points and candidate monitoring parameters on the enterprise. On the enterprise layout map, the more uniform and comprehensive the candidate monitoring points are, the higher the monitoring strength on the target enterprise users is.

[0154] In some embodiments, the input of the data evaluation layer 420 - 2 may include monitoring characteristics 430 and gas regulatory data 440 , and the output of the data evaluation layer 420 - 2 may include data sufficiency 450 .

[0155] In some embodiments, the feature extraction layer and the data evaluation layer of the data evaluation model can be obtained through joint training based on the first training sample and the first training label. The first training sample of the data evaluation model may include actual monitoring points and monitoring parameters in the historical data, and the first training label may be the sufficiency of the historical monitoring data obtained based on the first training sample. The sufficiency of historical monitoring data refers to the sufficiency of historical monitoring data for evaluating the operating status of the company's gas equipment and waste gas treatment equipment. The degree of consistency between the actual operating status during maintenance by maintenance personnel and the evaluated operating status is related to the data sufficiency. The higher the degree of consistency, the higher the data sufficiency.

[0156] In some embodiments, the joint training process may include: inputting the first training sample into the initial feature extraction layer to obtain the sample monitoring features output by the initial feature extraction layer; inputting the sample monitoring features as training sample data and the sample gas supervision data into the initial data evaluation layer to obtain the data sufficiency output by the initial data evaluation layer. A loss function is constructed based on the sample supervision features output by the initial feature extraction layer and the first training label, and the parameters of the initial feature extraction layer and the initial data evaluation layer are updated synchronously. By updating the parameters, a trained feature extraction layer and data evaluation layer are obtained.

[0157] In some embodiments, the gas company management platform may select a group of candidate monitoring points and candidate monitoring parameters whose data sufficiency meets the preset sufficiency requirements as target monitoring points and target monitoring parameters; or select a group of candidate monitoring points and candidate monitoring parameters with the highest data sufficiency as target monitoring points and target monitoring parameters. The preset sufficiency requirements are preset requirements for screening target monitoring points and target monitoring parameters.

[0158] In the embodiments of the present specification, the accuracy of risk assessment on target enterprise users can be improved by determining the data sufficiency through a data assessment model to determine target monitoring points and target monitoring parameters.

[0159] In the embodiments of the present specification, the target enterprise users are determined by the matching degree, so that the target enterprise users that need to be further monitored can be accurately determined, which is beneficial to the risk assessment of the target enterprise users.

[0160] Figure 5 is an exemplary flow chart of determining equipment maintenance parameters according to some embodiments of this specification. In some embodiments, process 500 can be executed by a company management platform. Figure 5 As shown, process 500 may include the following steps.

[0161] Step 510, determining the equipment operation status based on the target monitoring data, the surrounding environment data and the enterprise gas layout diagram of the target enterprise user.

[0162] For more information about target monitoring data, surrounding environment data, equipment operating status, and enterprise gas layout diagram, please refer to Figure 2 and Figure 3 And the related description will not be repeated here.

[0163] The waste gas generated by each gas device after burning gas is treated by the corresponding waste gas treatment equipment. After each waste gas treatment device has finished processing, the waste gas is discharged into the environment by the corresponding waste gas emission point. Therefore, the environmental monitoring data near the waste gas emission point can reflect the status of the gas equipment and waste gas treatment equipment.

[0164] In some embodiments, the gas company management platform can determine the influence coefficient of the exhaust gas emission point on multiple target monitoring points based on the distance between the target monitoring point and the exhaust gas emission point in the enterprise gas layout map; determine the treatment effect of the exhaust gas emitted by the exhaust gas emission point based on the target monitoring data of multiple target monitoring points and the influence coefficient corresponding to the target monitoring point; and determine the corresponding equipment operation status based on the exhaust gas treatment effect. Among them, the distance between the target monitoring point and the exhaust gas emission point is proportional to the influence coefficient, and the farther the distance, the greater the influence coefficient.

[0165] In some embodiments, the gas company management platform can determine the exhaust gas treatment effect by calculating the sum of the product of the target monitoring data of each monitoring point and the corresponding influence coefficient. The influence coefficient can be a system preset value, a manually preset value, etc. In some embodiments, the gas company management platform can determine the equipment operation state corresponding to the current exhaust gas treatment effect based on the correspondence between the exhaust gas treatment effect and the equipment operation state. The correspondence between the exhaust gas treatment effect and the equipment operation state can be that the worse the exhaust gas treatment effect, the worse the equipment operation state, etc.

[0166] In some embodiments, the gas company management platform can determine the environmental pollution value of at least one exhaust gas emission point based on the corporate gas layout map and target monitoring data of the target corporate user; and determine the equipment operating status corresponding to the exhaust gas emission point based on the environmental pollution value of the exhaust gas emission point.

[0167] The exhaust gas emission point is the point where the exhaust gas emission outlet of the target enterprise user is located. The environmental pollution value is a numerical value that characterizes the degree of environmental pollution at different exhaust gas emission points. In some embodiments, the environmental pollution value can be determined based on the total content of pollutant components in the exhaust gas emitted by the exhaust gas emission point.

[0168] In some embodiments, different exhaust gas emission points correspond to different gas equipment and exhaust gas emission equipment; the higher the pollution value of the exhaust gas emission point, the worse the equipment operation status of the corresponding gas equipment and exhaust gas treatment equipment. In some embodiments, the gas company management platform can count the historical equipment operation status corresponding to different environmental pollution values ​​based on historical data and draw a status query table; according to the environmental pollution value, query the equipment operation status corresponding to the environmental pollution value in the status query table.

[0169] In the embodiments of the present specification, by determining the environmental pollution value of the exhaust gas emission point, the equipment operation status can be determined more accurately, thereby determining the maintenance parameters.

[0170] In some embodiments, the gas company management platform can also construct a pollution analysis graph structure based on target monitoring points, exhaust emission points, environmental monitoring data, and surrounding environment data; input the pollution analysis graph structure into the pollution analysis model to determine the environmental pollution value.

[0171] The pollution analysis graph structure is a graph structure that reflects the pollution conditions of various points (for example, target monitoring points and exhaust emission points), which can be represented by different types of nodes and edges connecting the nodes.

[0172] The nodes of the pollution analysis graph structure may include nodes corresponding to target monitoring points (i.e., first-class nodes) and nodes corresponding to exhaust gas emission points (i.e., second-class nodes). In some embodiments, the node characteristics of the first-class nodes may include the properties of the target monitoring points (e.g., fixed points or mobile points) and the target monitoring data corresponding to the target monitoring points. The node characteristics of the second-class nodes may include the exhaust gas emission time corresponding to the exhaust gas emission points, etc.

[0173] In some embodiments, the edge of the pollution analysis graph structure exists between the first-class nodes and the second-class nodes. Each second-class node may have an edge with one or more first-class nodes, while there is no edge between any two first-class nodes or any two second-class nodes. In some embodiments, the characteristics of the edge may include the distance between the target monitoring point and the exhaust gas monitoring point, the relative relationship between the wind direction and the line connecting the two points (for example, the angle, direction), etc.

[0174] In some embodiments, the pollution analysis model is a machine learning model, such as a neural network model, a graph neural network model, Graph Neural Networks (GNN), etc.

[0175] In some embodiments, the input of the pollution analysis model may include a pollution analysis graph structure, and the output of the pollution analysis model may include environmental pollution values ​​of the second type of nodes. The environmental pollution values ​​may be output by the second type of nodes of the pollution analysis model.

[0176] In some embodiments, the pollution analysis model can be obtained by training based on training data.

[0177] In some embodiments, determining the training data for training the pollution analysis model may include: setting multiple groups of sample target monitoring points and corresponding sample target monitoring parameters for sample enterprises; evaluating the data adequacy of the target monitoring data under each group of sample target monitoring points and corresponding sample target monitoring parameters through a data evaluation model; selecting a group of sample target monitoring points and corresponding sample target monitoring parameters whose data adequacy meets the preset adequacy requirements to construct a sample pollution analysis graph as a second training sample, and determining the environmental pollution value corresponding to the second training sample as a training label. For example, sample exhaust gas is collected at the exhaust port of the exhaust gas emission point and the composition is determined, and the environmental pollution value is calculated in combination with the exhaust gas emission as the second training label.

[0178] In some embodiments, the training of the pollution analysis model may include inputting a plurality of second training samples with second training labels into the initial pollution analysis model, constructing a loss function through the second labels and the results of the initial pollution analysis model, and iteratively updating the parameters of the initial pollution analysis model based on the loss function. When the loss function of the initial pollution analysis model meets the preset conditions, the model training is completed and a trained pollution analysis model is obtained. The preset conditions may be that the loss function converges, the number of iterations reaches a threshold, etc.

[0179] The higher the data adequacy (such as meeting the preset adequacy requirements), the higher the accuracy of the correspondence between the sample pollution analysis diagram and the environmental pollution value, and the higher the accuracy of the trained model. At the same time, since the exhaust gas discharged from the exhaust outlet has a high temperature and may contain other impurities, the sensor cannot work properly and requires manual or mechanical sampling for measurement. However, daily real-time monitoring cannot meet such conditions, or the cost of such monitoring is too high. Therefore, this method can only be used to determine the training sample training model to determine the environmental pollution value, and the environmental pollution value cannot be obtained directly.

[0180] Since the waste gas will diffuse in the air after being discharged from the waste gas emission point, the waste gas emitted by multiple waste gas emission points will intersect at the target monitoring point, and the data of multiple waste gas emission points need to be comprehensively analyzed and evaluated by the pollution analysis model to obtain the environmental pollution value of the waste gas emission point. In some embodiments of the present invention, the environmental pollution value is determined by the pollution analysis graph structure and the pollution analysis model, which can further improve the accuracy of the determined environmental pollution value.

[0181] Step 520, determining equipment maintenance parameters based on the equipment operating status.

[0182] For equipment maintenance parameters, please refer to Figure 2 And the related description will not be repeated here.

[0183] In some embodiments, the gas company management platform can determine the type of equipment abnormality based on the rate of change of the operating status of the gas equipment and / or the exhaust gas treatment equipment in multiple consecutive time periods, and determine the maintenance method based on the type of equipment abnormality.

[0184] The operating status change rate can reflect the change in the operating status of the device. For example, the operating status change rate can be determined based on the operating status of the device in a historical period.

[0185] The device abnormality type may include normal wear and tear, device failure, etc. In some embodiments, in response to the running state change rate being small and stable (the running state of the device has basically not changed), the device abnormality type may be determined to be normal wear and tear; if the running state change rate is large and fluctuates greatly (the running state of the device changes greatly), the device abnormality type is device failure, which may be caused by the sudden change in the running state due to the device abnormality.

[0186] In some embodiments, the gas company management platform can determine the maintenance method corresponding to the current equipment abnormality type based on the correspondence between the equipment abnormality type and the maintenance method. For example, the correspondence between the equipment abnormality type and the maintenance method includes: if the equipment abnormality type is normal wear and tear, the maintenance method can be pipeline cleaning, consumables replacement, etc.; if the equipment abnormality type is equipment failure, the maintenance method can be equipment repair, equipment upgrade, etc.

[0187] In the embodiments of this specification, by determining the equipment operating status to determine the equipment maintenance parameters, gas companies can be accurately reminded to upgrade and transform exhaust gas treatment facilities to meet the needs of effectively reducing environmental pollution.

[0188] In some embodiments, the equipment maintenance parameters may also include update reminder information. The update reminder information is information used to remind the target enterprise user whether the gas equipment needs to be updated. If the equipment wear is too serious or too outdated to meet the needs, no maintenance will be performed and the equipment will be updated directly.

[0189] In some embodiments, the gas company management platform can estimate the exhaust gas treatment intensity of target corporate users based on gas supervision data; determine the reliability of continued use of exhaust gas treatment equipment in future time periods based on the exhaust gas treatment intensity; and send update reminder information to target corporate users and the government gas management platform in response to the reliability being lower than a reliable threshold.

[0190] The exhaust gas treatment intensity is the load intensity of the exhaust gas treatment equipment. In some embodiments, the gas company management platform can calculate the exhaust gas emissions per unit time during the gas use period based on the gas supervision data; and determine the exhaust gas treatment intensity based on the exhaust gas emissions per unit time and the use time of the exhaust gas treatment equipment. The exhaust gas treatment intensity can be the weighted average of the exhaust gas emissions per unit time of multiple gas use periods, and the longer the use time of the gas use period, the higher the weight.

[0191] Reliability refers to the degree of reliability of normal use of gas equipment and waste gas treatment equipment in future periods. In some embodiments, the higher the waste gas treatment intensity and the heavier the load of the waste gas treatment equipment, the lower the reliability of continued use in future periods.

[0192] In the embodiments of the present specification, the accuracy of the device is determined by determining the reliability to determine whether it is necessary to update the device, so as to accurately determine whether the device can meet the usage requirements.

[0193] In some embodiments, the gas company management platform can obtain the historical maintenance records of the target enterprise users and the historical gas usage data corresponding to the historical maintenance records; determine the performance decay rate of the waste gas treatment equipment of the target enterprise users based on the historical maintenance records and the corresponding historical gas usage data; and determine the reliability based on the performance decay rate and the waste gas treatment intensity.

[0194] Historical maintenance records refer to the maintenance time, actual maintenance results, maintenance methods, etc. in the historical records. Performance decay rate refers to the speed at which the performance of the exhaust gas treatment equipment in treating exhaust gas decreases.

[0195] In some embodiments, the gas company management platform can evaluate and reset the performance value of the exhaust gas treatment equipment before and after maintenance based on the actual maintenance results and maintenance methods of each time; determine the performance decay rate of the exhaust gas treatment equipment based on multiple reset performance values ​​and the time interval between two adjacent reset operations. The performance value is a numerical value that reflects the performance of the equipment. For example, the performance value evaluated after N maintenances can be subtracted from the performance value evaluated during N+1 maintenances, and then divided by the time interval between the two maintenances to obtain the performance decay rate.

[0196] In some embodiments, the gas company management platform can determine the future time point when the exhaust gas treatment equipment drops to the performance warning value based on the exhaust gas treatment intensity and the performance decay rate. If the future time point is after the future period, the reliability is high, and the more the future time point exceeds the future period, the higher the reliability; otherwise, the reliability is low.

[0197] The performance warning value is a threshold used to judge reliability. The performance warning value can be preset. The future period is set according to the production situation of the target enterprise, such as the next week, the next month, or the period from the current time to the end of the current production peak of the target enterprise.

[0198] In the embodiments of the present specification, determining reliability by performance decay rate can further improve the accuracy of determining whether a device needs to be updated.

[0199] In some embodiments, reliability is also related to the historical waste gas treatment needs of the target enterprise user. The greater the historical waste gas treatment needs, the higher the demand for the use of waste gas treatment equipment in the future period, which in turn increases the operating burden and loss rate of the waste gas treatment equipment, resulting in lower reliability.

[0200] In some embodiments, the gas company management platform can increase the exhaust gas treatment intensity according to the historical exhaust gas treatment demand. For example, when the historical exhaust gas treatment demand is greater than the demand threshold, the treatment intensity can be increased. The higher the historical exhaust gas treatment demand, the greater the magnitude of the corresponding increase in exhaust gas treatment intensity.

[0201] In the embodiments of the present specification, the reliability determined by historical exhaust gas treatment requirements can further improve the accuracy of determining whether the equipment needs to be updated.

[0202] One or more embodiments of this specification provide an environmental monitoring system based on a smart gas supervision Internet of Things, the system comprising a storage device and a processor, the storage device storing computer instructions; the processor is connected to the storage device; when the computer instructions are executed, the processor causes the system to execute. The environmental monitoring system based on the smart gas supervision Internet of Things can be part of a smart gas Internet of Things system.

[0203] One or more embodiments of the present specification provide a computer-readable storage medium, which stores computer instructions. When a computer reads the computer instructions in the storage medium, the computer executes an environmental monitoring method based on a smart gas supervision Internet of Things as described in any of the above embodiments.

[0204] It should be noted that the above descriptions of processes 200, 300 and 500 are only for illustration and description, and do not limit the scope of application of this specification. For those skilled in the art, various modifications and changes can be made to processes 200, 300 and 500 under the guidance of this specification. However, these modifications and changes are still within the scope of this specification.

[0205] The basic concepts have been described above. Obviously, for those skilled in the art, the above detailed disclosure is only for example and does not constitute a limitation of this specification. Although not explicitly stated here, those skilled in the art may make various modifications, improvements and corrections to this specification. Such modifications, improvements and corrections are suggested in this specification, so such modifications, improvements and corrections still belong to the spirit and scope of the exemplary embodiments of this specification.

[0206] At the same time, this specification uses specific words to describe the embodiments of this specification. For example, "one embodiment", "an embodiment", and / or "some embodiments" refer to a certain feature, structure or characteristic related to at least one embodiment of this specification. Therefore, it should be emphasized and noted that "one embodiment" or "an embodiment" or "an alternative embodiment" mentioned twice or more in different positions in this specification does not necessarily refer to the same embodiment. In addition, certain features, structures or characteristics in one or more embodiments of this specification can be appropriately combined.

[0207] In addition, unless explicitly stated in the claims, the order of the processing elements and sequences described in this specification, the use of alphanumeric characters, or the use of other names are not intended to limit the order of the processes and methods of this specification. Although the above disclosure discusses some invention embodiments that are currently considered useful through various examples, it should be understood that such details are only for illustrative purposes, and the attached claims are not limited to the disclosed embodiments. On the contrary, the claims are intended to cover all modifications and equivalent combinations that are consistent with the essence and scope of the embodiments of this specification. For example, although the system components described above can be implemented by hardware devices, they can also be implemented only by software solutions, such as installing the described system on an existing server or mobile device.

[0208] Similarly, it should be noted that in order to simplify the description disclosed in this specification and thus help understand one or more embodiments of the invention, in the above description of the embodiments of this specification, multiple features are sometimes combined into one embodiment, figure or description thereof. However, this disclosure method does not mean that the features required by the subject matter of this specification are more than the features mentioned in the claims. In fact, the features of the embodiments are less than all the features of the single embodiment disclosed above.

[0209] In some embodiments, numbers describing the number of components and attributes are used. It should be understood that such numbers used in the description of the embodiments are modified by the modifiers "about", "approximately" or "substantially" in some examples. Unless otherwise specified, "about", "approximately" or "substantially" indicate that the numbers are allowed to vary by ±20%. Accordingly, in some embodiments, the numerical parameters used in the specification and claims are approximate values, which may change according to the required features of individual embodiments. In some embodiments, the numerical parameters should take into account the specified significant digits and adopt the general method of retaining the digits. Although the numerical domains and parameters used to confirm the breadth of the range in some embodiments of this specification are approximate values, in specific embodiments, the setting of such numerical values ​​is as accurate as possible within the feasible range.

[0210] Each patent, patent application, patent application publication, and other materials, such as articles, books, specifications, publications, documents, etc., cited in this specification is hereby incorporated by reference in its entirety. Except for application history documents that are inconsistent with or conflicting with the contents of this specification, documents that limit the broadest scope of the claims of this specification (currently or later attached to this specification) are also excluded. It should be noted that if the descriptions, definitions, and / or use of terms in the materials attached to this specification are inconsistent or conflicting with the contents described in this specification, the descriptions, definitions, and / or use of terms in this specification shall prevail.

[0211] Finally, it should be understood that the embodiments described in this specification are only used to illustrate the principles of the embodiments of this specification. Other variations may also fall within the scope of this specification. Therefore, as an example and not a limitation, alternative configurations of the embodiments of this specification may be considered consistent with the teachings of this specification. Accordingly, the embodiments of this specification are not limited to the embodiments explicitly introduced and described in this specification.

Claims

1. An environmental monitoring method based on smart gas supervision Internet of Things, characterized in that: The method is executed by a gas company management platform of a smart gas Internet of Things system, and the method includes: Obtaining gas supervision data of at least one enterprise user based on the gas equipment object platform, and classifying the gas supervision data according to the enterprise user and storing it in the environmental protection data center; wherein the gas supervision data includes at least one of gas usage data, exhaust gas emission and exhaust gas treatment equipment operation data; Based on the gas supervision data, determining at least one target enterprise user, and at least one target monitoring point and target monitoring parameter corresponding to the at least one target enterprise user, including: For each of the enterprise users, based on the gas supervision data corresponding to the enterprise user, determining the degree of matching between the gas usage data and the exhaust gas emissions and the exhaust gas treatment equipment operation data; Based on the matching degree, determining the at least one target enterprise user; Based on the gas supervision data of the at least one target enterprise user, determining the at least one target monitoring point and the target monitoring parameter corresponding to the at least one target enterprise user; The at least one target monitoring point and the target monitoring parameters are sent to the government gas management platform. The government gas management platform determines the government environment sampling parameters based on the government environment monitoring information, the at least one target monitoring point and the target monitoring parameters, and performs sampling based on the government environment sampling parameters to obtain surrounding environment data, and sends the surrounding environment data to the gas company management platform; Controlling the environmental monitoring equipment to monitor the at least one target monitoring point according to the target monitoring parameters to determine target monitoring data; Determine equipment maintenance parameters of the at least one target enterprise user based on the target monitoring data and the surrounding environment data, wherein the equipment maintenance parameters include a maintenance method and a maintenance time; Based on the equipment operation status and the maintenance parameters, at least one maintenance instruction is generated, and the at least one maintenance instruction is sent to the corresponding target enterprise users through the gas user platform; In response to receiving confirmation feedback from the target enterprise user on the maintenance instruction, controlling the maintenance equipment to execute the maintenance instruction based on the gas company's sensor network platform; Obtaining the execution result of the at least one maintenance instruction, and based on the execution result, adjusting the frequency of the gas equipment object platform acquiring the gas supervision data, and adjusting at least one of the storage space allocation parameters and data cleaning parameters of the gas supervision data of different enterprise users by the environmental protection data center; and Based on the acquisition frequency and the storage space allocation parameters, the computing resource allocation parameters of the gas company management platform for supervising different corporate users are adjusted.

2. The method according to claim 1, characterized in that: The determining, based on the gas supervision data corresponding to the enterprise user, the gas usage data and the exhaust gas emission amount, and the matching degree with the exhaust gas treatment equipment operation data includes: Dividing the gas usage data and the exhaust gas emission according to the continuous usage period, and determining the gas segmentation data and the exhaust gas segmentation data of different continuous usage periods; Based on the gas segmentation data and the exhaust gas segmentation data, determining whether there is an exhaust gas treatment requirement in each of the continuous use periods; The matching degree is determined based on the exhaust gas treatment demand and the exhaust gas treatment equipment operation data.

3. The method according to claim 1, characterized in that The determining, based on the gas supervision data of the at least one target enterprise user, the at least one target monitoring point and the target monitoring parameter corresponding to the at least one target enterprise user comprises: Determining an environmentally sensitive area based on the environmental information of the at least one target enterprise user; Based on the environmentally sensitive area, determining at least one set of candidate monitoring points and corresponding candidate monitoring parameters; Evaluate the data adequacy of the environmental monitoring data under the at least one set of candidate monitoring points and corresponding candidate monitoring parameters based on a data evaluation model, wherein the data evaluation model is a machine learning model; Based on the data sufficiency, the at least one target monitoring point and the target monitoring parameter are determined.

4. The method according to claim 1, characterized in that: The method further comprises: Determining the degree of sub-matching between the gas segmented data and the exhaust segmented data in a plurality of consecutive use periods and the exhaust treatment device operation data; Determining an environmental protection value of the enterprise user based on the sub-matching degrees corresponding to the multiple continuous use time periods; Based on the environmental protection value, the target enterprise user is adjusted.

5. The method according to claim 1, characterized in that The equipment maintenance parameters include maintenance parameters of gas equipment and maintenance parameters of exhaust gas treatment equipment; the determining of equipment maintenance parameters of at least one target enterprise user based on the target monitoring data and the surrounding environment data includes: Determine the equipment operation status based on the target monitoring data, the surrounding environment data and the enterprise gas layout diagram of the target enterprise user, wherein the equipment operation status includes the operation status of the gas equipment and / or the operation status of the exhaust gas treatment equipment; Based on the operating status of the equipment, the equipment maintenance parameters are determined.

6. The method according to claim 5, characterized in that The determining of the equipment operation status based on the target monitoring data, the surrounding environment data and the enterprise gas layout diagram of the target enterprise user includes: Determine the environmental pollution value of at least one exhaust gas emission point based on the enterprise gas layout map of the target enterprise user and the target monitoring data; Based on the environmental pollution value of the exhaust gas emission point, the operating status of the equipment corresponding to the exhaust gas emission point is determined.

7. The method according to claim 5, characterized in that The equipment maintenance parameters also include update reminder information, and the determining of the equipment maintenance parameters based on the equipment operation status also includes: Based on the gas supervision data, estimate the waste gas treatment intensity of the target enterprise users; Based on the exhaust gas treatment intensity, determining the reliability of the exhaust gas treatment equipment for continued use in a future time period; In response to the reliability being lower than a reliability threshold, the update reminder information is sent to the target enterprise user and the government gas management platform.

8. An environmental monitoring system based on smart gas supervision Internet of Things, characterized in that: The system includes a storage device and a processor, wherein the storage device stores computer instructions; the processor is connected to the storage device; when executing the computer instructions, the processor causes the system to perform: Obtaining gas supervision data of at least one enterprise user based on the gas equipment object platform, and classifying the gas supervision data according to the enterprise user and storing it in the environmental protection data center; wherein the gas supervision data includes at least one of gas usage data, exhaust gas emission and exhaust gas treatment equipment operation data; Based on the gas supervision data, determining at least one target enterprise user, and at least one target monitoring point and target monitoring parameter corresponding to the at least one target enterprise user, including: For each of the enterprise users, based on the gas supervision data corresponding to the enterprise user, determining the degree of matching between the gas usage data and the exhaust gas emissions and the exhaust gas treatment equipment operation data; Based on the matching degree, determining the at least one target enterprise user; Based on the gas supervision data of the at least one target enterprise user, determining the at least one target monitoring point and the target monitoring parameter corresponding to the at least one target enterprise user; The at least one target monitoring point and the target monitoring parameters are sent to the government gas management platform. The government gas management platform determines the government environment sampling parameters based on the government environment monitoring information, the at least one target monitoring point and the target monitoring parameters, and performs sampling based on the government environment sampling parameters to obtain surrounding environment data, and sends the surrounding environment data to the gas company management platform; Controlling the environmental monitoring equipment to monitor the at least one target monitoring point according to the target monitoring parameters to determine target monitoring data; Determine equipment maintenance parameters of the at least one target enterprise user based on the target monitoring data and the surrounding environment data, wherein the equipment maintenance parameters include a maintenance method and a maintenance time; Based on the equipment operation status and the maintenance parameters, at least one maintenance instruction is generated, and the at least one maintenance instruction is sent to the corresponding target enterprise users through the gas user platform; In response to receiving confirmation feedback from the target enterprise user on the maintenance instruction, controlling the maintenance equipment to execute the maintenance instruction based on the gas company's sensor network platform; Obtaining the execution result of the at least one maintenance instruction, and based on the execution result, adjusting the frequency of the gas equipment object platform acquiring the gas supervision data, and adjusting at least one of the storage space allocation parameters and data cleaning parameters of the gas supervision data of different enterprise users by the environmental protection data center; and Based on the acquisition frequency and the storage space allocation parameters, the computing resource allocation parameters of the gas company management platform for supervising different corporate users are adjusted.

9. A computer-readable storage medium, characterized in that: The storage medium stores computer instructions, and when the computer instructions are executed by the processor, an environmental monitoring method based on a smart gas supervision Internet of Things as described in claim 1 is implemented.

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