Filling gas safety supervision method and system based on smart gas Internet of Things

Abstract

The present invention provides a method and system for safety supervision of filling gas based on a smart gas Internet of Things, and the method is executed by a gas company management platform. The system includes a people's user platform, a government safety supervision service platform, a government safety supervision management platform, a government safety supervision sensor network platform, a gas company service platform, a gas user platform, a government safety supervision object platform including a gas company management platform, a gas company sensor network platform and a device object platform. The method includes: obtaining monitoring data and usage information of gas filling containers based on the device object platform; determining the target gas user based on the usage index, and sending container replacement information to the target gas user, and sending parameter adjustment instructions to the electronic monitoring device of the gas filling container corresponding to the target gas user; and displaying container replacement information based on the people's user platform. The present invention can achieve effective supervision of filling gas and improve the safety of gas filling.

Description

Technical Field

[0001] The present invention relates to the field of gas filling technology, and in particular to a method and system for monitoring gas filling safety based on a smart gas Internet of Things. Background Art

[0002] During the gas filling process, the supervision of gas filling containers from production, filling, transportation to scrapping and recycling involves multiple departments (for example, safety management department, quality supervision department, traffic management department, etc.), and the lack of information exchange between departments may cause problems such as expired use and illegal use of gas filling containers (such as filling gas from illegal channels, etc.) to be unable to be discovered and supervised in a timely manner, creating safety hazards.

[0003] In order to solve the above safety hazards, CN106949376B discloses an intelligent liquefied gas cylinder real-time monitoring and management platform based on satellite positioning. Through satellite positioning, the quality information, annual inspection information, location management, capacity display, leakage detection and other information of the gas cylinder can be transmitted in real time to achieve real-time supervision of the filling gas. However, satellite positioning is limited by various factors, such as weather factors, the influence of buildings and terrain, equipment hardware problems, the number of satellites, etc., resulting in weak satellite signals and the inability to accurately update the relevant information of the gas filling container, affecting the accuracy of real-time supervision of the filling gas process.

[0004] Therefore, a method and system for gas filling safety supervision based on a smart gas Internet of Things is provided to achieve effective supervision of the gas filling and improve the safety of gas filling. Summary of the invention

[0005] In order to solve the problem of how to effectively supervise the filling of gas and avoid safety hazards in gas filling, this specification provides a filling gas safety supervision method and system based on a smart gas Internet of Things.

[0006] The invention content includes a method for gas filling safety supervision based on a smart gas Internet of Things, which is executed by a gas company management platform of a gas filling safety supervision system based on a smart gas Internet of Things, including: obtaining monitoring data of a gas filling container based on a device object platform, the gas filling container including an electronic monitoring device; obtaining usage information of the gas filling container based on the device object platform; determining a usage index of the gas filling container in different time periods based on the monitoring data and usage information, and sending the usage index to a gas user platform; determining a target gas user based on the usage index, and sending container replacement information to the target gas user based on the gas user platform, and sending a parameter adjustment instruction to the electronic monitoring device of the gas filling container corresponding to the target gas user, the parameter adjustment instruction being used to adjust the monitoring parameters of the electronic monitoring device; and interacting with a people's user platform based on a government safety supervision sensor network platform, a government safety supervision management platform, and a government safety supervision service platform, and displaying container replacement information based on the people's user platform.

[0007] The invention content includes a filling gas safety supervision system based on a smart gas Internet of Things, the system includes a people's user platform, a government safety supervision service platform, a government safety supervision management platform, a government safety supervision sensor network platform, a gas company service platform, a gas user platform, a government safety supervision object platform, a gas company sensor network platform and an equipment object platform, the government safety supervision object platform includes a gas company management platform, and the gas company management platform is configured to: obtain monitoring data of a gas filling container based on the equipment object platform, the gas filling container includes an electronic monitoring device; obtain usage information of the gas filling container based on the equipment object platform; determine the usage index of the gas filling container at different time periods based on the monitoring data and the usage information, and send the usage index to the gas user platform; determine the target gas user based on the usage index, and send container replacement information to the target gas user based on the gas user platform, and send parameter adjustment instructions to the electronic monitoring device of the gas filling container corresponding to the target gas user, the parameter adjustment instructions are used to adjust the monitoring parameters of the electronic monitoring device; and interact with the people's user platform based on the government safety supervision sensor network platform, the government safety supervision management platform and the government safety supervision service platform, and display the container replacement information based on the people's user platform.

[0008] The beneficial effects brought by the above invention include but are not limited to:

[0009] (1) By monitoring data and usage information, the usage index of gas filling containers at different times is determined, and then the target gas users are determined and the container replacement information is sent to the target gas users. This can achieve safety supervision of gas filling, and timely remind the target gas users to replace gas filling containers, thereby avoiding safety hazards caused by aging or improper use of gas filling containers;

[0010] (2) The second model is used to determine whether the monitoring data and / or usage information meets the preset data conditions, and then the target gas users are adjusted. The self-learning ability of machine learning can be used to find patterns from a large amount of data to more accurately and comprehensively determine and adjust the target gas users, thereby improving the flexibility and adaptability of determining the target gas users;

[0011] (3) Based on maintenance data, monitoring data, usage information and usage index, the index change trend is determined, and then the target gas users are determined. A more comprehensive target gas users can be determined by comprehensively considering multiple factors, ensuring that gas filling containers with safety hazards are replaced in a timely manner, thereby improving the safety and comprehensiveness of gas filling supervision;

[0012] (4) The intensity change trend is determined based on the second usage intensity of gas users, which can screen out gas users with abnormal intensity changes, which is conducive to expanding the scope of target gas users and improving the safety of gas filling supervision. BRIEF DESCRIPTION OF THE DRAWINGS

[0013] 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:

[0014] Figure 1 is an exemplary schematic diagram of a filling gas safety supervision system based on a smart gas Internet of Things according to some embodiments of this specification;

[0015] Figure 2 is an exemplary flow chart of a method for monitoring gas filling safety based on a smart gas Internet of Things according to some embodiments of this specification;

[0016] Figure 3 is an exemplary flow chart for determining a target gas user according to some embodiments of this specification;

[0017] Figure 4 is an exemplary schematic diagram of a first model according to some embodiments of this specification;

[0018] Figure 5 It is an exemplary schematic diagram of adjusting the target gas user according to some embodiments of this specification. DETAILED DESCRIPTION

[0019] 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.

[0020] 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.

[0021] 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 "include" and "comprise" 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.

[0022] 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.

[0023] In the process of gas filling supervision, there are potential safety hazards in gas filling containers due to the lack of information flow between the various regulatory departments. CN106949376B can achieve real-time transmission of information related to gas filling through satellite positioning, which improves the supervision effect of gas filling to a certain extent. However, when the satellite positioning signal is weak, the gas filling container cannot be updated, and the impact of gas users on the gas filling process is ignored. In view of this, some embodiments of this specification determine the usage index of the gas filling container by combining monitoring data and usage information, and then determine the target gas user who needs to replace the gas filling container and the replacement container information, which can accurately identify the scrapped gas filling container, realize comprehensive safety management of the gas filling process, and improve the accuracy of gas filling supervision and the safety of the gas filling process.

[0024] Figure 1 It is an exemplary schematic diagram of a filling gas safety supervision system based on a smart gas Internet of Things as shown in some embodiments of this specification.

[0025] like Figure 1As shown, the filling gas safety supervision system 100 based on the smart gas Internet of Things may include a people’s user platform 110, a government safety supervision service platform 120, a government safety supervision management platform 130, a government safety supervision sensor network platform 140, a gas company service platform 150, a gas user platform 160, a government safety supervision object platform 170, a gas company sensor network platform 180 and a device object platform 190.

[0026] The people's user platform 110 refers to a platform dominated by city citizens. In some embodiments, the people's user platform can be used to display container replacement information. In some embodiments, the people's user platform 110 can interact with the government security supervision service platform 120. For example, the people's user platform can receive and display container replacement information uploaded by the government security supervision service.

[0027] The government safety supervision service platform 120 is a platform that provides gas supervision services for urban citizens. In some embodiments, the government safety supervision service platform 120 can interact with the people's user platform 110 and the government safety supervision management platform 130. For example, the government safety supervision service platform can obtain the replacement container information uploaded by the government safety supervision management platform and send it to the people's user platform.

[0028] The government security supervision management platform 130 refers to a comprehensive security management platform for government management information. In some embodiments, the government security supervision management platform 130 can interact bidirectionally with the government security supervision service platform 120 and the government security supervision sensor network platform 140. For example, the government security supervision management platform 130 can obtain the replacement container information uploaded by the government security supervision sensor network platform and send it to the government security supervision service platform.

[0029] The government safety supervision sensor network platform 140 refers to a comprehensive management platform for government safety-related sensor information. For example, it may include communication base stations, routers, wireless WIFI devices, etc. In some embodiments, the government safety supervision sensor network platform 140 may interact with the government safety supervision management platform 130 and the government safety supervision object platform 170. For example, the government safety supervision sensor network platform may obtain the replacement container information uploaded by the government safety supervision object platform and send it to the government safety supervision management platform.

[0030] The gas company service platform 150 is a platform that provides gas supervision services for gas companies. In some embodiments, the gas company service platform can interact with the gas user platform 160 and the gas company management platform 170-1.

[0031] The gas user platform 160 is a platform for interacting with gas users. In some embodiments, the gas user platform can be configured as a terminal device. In some embodiments, the gas user platform 160 can interact bidirectionally with the gas company management platform through the gas company service platform 150. For example, the gas user platform can obtain the container replacement information sent by the gas company management platform.

[0032] The government security supervision object platform 170 refers to a platform for generating government supervision information and controlling information execution.

[0033] In some embodiments, the government safety supervision object platform 170 may include a gas company management platform 170-1. In some embodiments, the gas company management platform 170-1 may respectively perform two-way interaction with the government safety supervision sensor network platform 140, the gas company service platform 150, and the gas company sensor network platform 180. For example, the gas company management platform 170-1 may obtain the monitoring data, usage information, etc. uploaded by the device object platform 190 through the gas company sensor network platform 180, and send the replacement container information to the government safety supervision sensor network platform 140. For another example, the gas company management platform 170-1 may obtain the replacement container information uploaded by the gas user platform 160 through the gas company service platform 150. In some embodiments, the gas company management platform 170-1 may be configured on the gas company management server.

[0034] In some embodiments, the gas company management platform 170-1 can be configured to obtain monitoring data of a gas filling container based on the device object platform 190, where the gas filling container includes an electronic monitoring device; obtain usage information of the gas filling container based on the device object platform 190; determine a usage index of the gas filling container at different time periods based on the monitoring data and usage information, and send the usage index to the gas user platform 160; determine a target gas user based on the usage index, and send container replacement information to the target gas user based on the gas user platform 160, and send a parameter adjustment instruction to the electronic monitoring device of the gas filling container corresponding to the target gas user, where the parameter adjustment instruction is used to adjust the monitoring parameters of the electronic monitoring device; and interact with the people's user platform 110 based on the government safety supervision sensor network platform 140, the government safety supervision management platform 130 and the government safety supervision service platform 120, and display the container replacement information based on the people's user platform 110.

[0035] The gas company sensor network platform 180 refers to a platform used by the gas company to perform sensory communication with the device object platform 190. For example, it may include a communication base station, a router, a wireless WIFI device, etc. In some embodiments, the gas company sensor network platform 180 may perform two-way interaction with the gas company management platform 170-1 and the device object platform 190.

[0036] The device object platform 190 refers to a functional platform for sensing information generation and controlling information execution. In some embodiments, the device object platform 190 can be configured in a gas gate station, a gas field station, a gas pressure regulating station, a valve well, a gas filling station, or a gas network ancillary facility. In some embodiments, the device object platform 190 can interact with an electronic monitoring device of a gas filling container to obtain monitoring data monitored by the electronic monitoring device.

[0037] In some embodiments, the filling gas safety supervision system 100 based on the smart gas Internet of Things may also include multiple levels of networks, for example, a primary network and a secondary network. For example, the primary network may include a primary network user platform, a primary network service platform, a primary network management platform, a primary network sensor network platform, and a primary network object platform. For another example, the secondary network may include a secondary network user platform, a secondary network service platform, a secondary network management platform, a secondary network sensor network platform, and a secondary network object platform. The various platforms in the aforementioned filling gas safety supervision system 100 based on the smart gas Internet of Things may correspond to different functions in networks of different levels. For example, when the government safety supervision object platform 170 is in the primary network, it can realize the functions of the object platform, and when it is in the secondary network, the gas company management platform included in the government safety supervision object platform 170 can realize management functions, etc.

[0038] For more information about the functions of the filling gas safety supervision system 100 based on the smart gas Internet of Things, please refer to Figure 2-Figure 5 Related instructions.

[0039] In some embodiments of the present specification, a filling gas safety supervision system based on the smart gas Internet of Things can form an information operation closed loop between various functional platforms, coordinate and operate regularly, and realize the informatization and intelligence of filling gas supervision.

[0040] Figure 2 is an exemplary flow chart of a filling gas safety supervision method based on a smart gas Internet of Things according to some embodiments of this specification. In some embodiments, process 200 can be executed by a gas company management platform 170-1 of a filling gas safety supervision system 100 based on a smart gas Internet of Things. Figure 2 As shown, process 200 includes the following steps:

[0041] Step 210: Acquire monitoring data of the gas filling container based on the device object platform.

[0042] A gas filling container refers to a container used to store and transport gas (e.g., natural gas, liquefied petroleum gas, etc.). For example, a gas filling container may include a liquefied gas cylinder or other gas cylinders.

[0043] In some embodiments, the gas-filled container may include an electronic monitoring device.

[0044] The electronic monitoring device refers to an electronic device for monitoring the gas filling container. For example, the electronic monitoring device may include a variety of sensors such as hydraulic sensors, temperature sensors, positioning chips, data acquisition units, communication modules, etc. Among them, the data acquisition unit is a basic unit for collecting monitoring data, and the communication module is a functional module for the electronic monitoring device to communicate and transmit through the network. In some embodiments, the electronic monitoring device can be used to collect and transmit monitoring data in real time.

[0045] Monitoring data refers to data related to the state of the gas filling container. For example, the monitoring data may include but is not limited to the location information, filling pressure, and operating temperature of the gas filling container.

[0046] Positioning information refers to information related to the positioning of the gas filling container. Positioning information can be used to determine the location of the gas filling container.

[0047] Filling pressure refers to the gas pressure inside the gas filling container, which can be used to determine whether the gas filling container is overfilled. For example, when the filling pressure is greater than the maximum pressure value, it is overfilled. The maximum pressure value can be determined by the technician.

[0048] The operating temperature refers to the temperature of the gas filling container. The operating temperature can be used to determine whether the gas filling container has a situation where the temperature is too high and a safety hazard occurs. For example, when the operating temperature is greater than the maximum temperature value, a safety hazard will occur. The maximum temperature value can be determined by the technician.

[0049] In some embodiments, monitoring data may be obtained through an electronic monitoring device. For example, positioning information may be obtained through a positioning chip installed in a gas filling container. Filling pressure may be obtained through a hydraulic sensor deployed in a gas filling container. Operating temperature may be obtained through a temperature sensor deployed in a gas filling container.

[0050] In some embodiments, the gas company management platform can obtain the monitoring data of the gas filling container from the device object platform based on the gas company sensor network platform. For more information about the device object platform, see Figure 1 and its related description.

[0051] In some embodiments, the gas company management platform can interact with the device object platform based on the gas company sensor network platform to obtain monitoring data transmitted to the device object platform by the electronic monitoring device through the aforementioned communication module or other feasible Internet of Things technologies.

[0052] Step 220: Obtain usage information of the gas filling container based on the device object platform.

[0053] Usage information refers to relevant data of the gas filling container during actual use. For example, the usage data may include the use time, filling time, filling times, gas supply rate, gas alarm record, ventilation data, etc. of the gas filling container. In some embodiments, the electronic monitoring device may also include a gas alarm and a wind pressure sensor. The gas alarm record may be monitored and obtained by the gas alarm, and the ventilation data may be monitored and obtained by the wind pressure sensor.

[0054] In some embodiments, the usage information may include first usage information and second usage information. For more information, see Figure 3 and its related description.

[0055] In some embodiments, the usage information can be uploaded by gas users or collected by electronic monitoring devices. In some embodiments, the gas company management platform can interact with the device object platform based on the gas company sensor network platform to obtain the usage information uploaded by the device object platform; in some embodiments, the gas company management platform can interact with the gas user platform based on the gas company service platform to obtain the usage information uploaded by the gas user. For more information about the device object platform, see Figure 1 and its related description.

[0056] Step 230, based on the monitoring data and usage information, determine the usage index of the gas filling container at different time periods, and send the usage index to the gas user platform.

[0057] Different time periods refer to different time periods for determining the gas filling container usage index. The time lengths of different time periods can be preset by the system or manually. For example, one week, one month, etc. In some embodiments, the time lengths of different time periods can be determined based on the frequency of use of the gas filling container. For example, the higher the frequency of use, the shorter the time length.

[0058] The frequency of use of the gas filling container refers to the frequency of use of the gas filling container. In some embodiments, the gas company management platform may determine the frequency of use based on the use information. For example, the gas company management platform may determine the number of uses within a unit time period in the use information as the frequency of use. The unit time period may be preset by the system or manually, such as one week.

[0059] The usage index is a comprehensive indicator for evaluating the usage status and risk level of a gas filling container, and can be used to measure the probability of failure of the gas filling container. In some embodiments, the usage index can be represented by a numerical value, and the higher the numerical value, the more normal the usage status of the gas filling container, the lower the risk level, and the lower the probability of failure.

[0060] In some embodiments, the gas company management platform can determine the usage index of the gas filling container at different time periods in a variety of ways based on the monitoring data and usage information.

[0061] In some embodiments, the gas company management platform may determine the usage index based on monitoring data and usage information through a first preset rule.

[0062] The first preset rule refers to a preset rule for determining the usage index. Exemplarily, the first preset rule may be: the more times abnormal data appear in the monitoring data and usage information within a certain period of time, the lower the usage index of the gas filling container in the period of time.

[0063] Abnormal data refers to data with abnormalities in monitoring data and usage information. In some embodiments, the gas company management platform can determine monitoring data and usage information that meet preset abnormal conditions as abnormal data. Preset abnormal conditions refer to preset conditions for judging abnormal data, and preset abnormal conditions can be determined by technical personnel. For example, preset abnormal conditions may include filling pressure greater than the maximum pressure value, use temperature greater than the maximum temperature value, ventilation data not reaching standard ventilation data, etc. Standard ventilation data can be preset by technical personnel. For relevant instructions on maximum pressure value and maximum temperature value, please refer to Figure 2 Related description in the previous article.

[0064] For example, the first preset rule may include the following formula: usage index = usage index of the previous period − (k1×A×a+k2×B×b+…+k n ×N×n).

[0065] Among them, the usage index of the previous time period refers to the usage index of the gas filling container in the previous time period, and the previous time period refers to the time period closest to the current time period among the different time periods corresponding to the usage index. The usage index of the first time period of the gas filling container, that is, the usage index of the time period when the gas filling container is used for the first time, and its usage index of the previous time period is the initial usage index. The initial usage index refers to the usage index of the gas filling container in the initial state, and the initial usage index can be preset by the system or manually. A, B, and N are usage index reduction values ​​corresponding to different types of monitoring data and / or usage information. The usage index reduction values ​​corresponding to different types of monitoring data and / or usage information can be the same or different, and the usage index reduction values ​​can be determined based on historical experience. a, b, and n are the number of times abnormal data appears in different types of monitoring data and / or usage information. k1, k2, k n The weight coefficients corresponding to different types of monitoring data and / or usage information may be determined based on historical experience.

[0066] For example, the initial usage index is 100. In the first time period, abnormal data appears 10 times in the ventilation data, and abnormal data appears 20 times in the filling temperature. The usage index reduction value corresponding to the ventilation data is 1, and the usage index reduction value corresponding to the filling temperature is 0.5. The weight coefficient corresponding to the ventilation data is 0.5, and the weight coefficient corresponding to the filling temperature is 0.4. Then, the usage index of the first time period = 100-(0.5×1×10+0.4×0.5×20) = 91; and so on. In the next time period of the first time period (i.e., the second time period), abnormal data appears 10 times in the ventilation data, and then the usage index of the second time period = 91-0.5×1×10=86.

[0067] In some embodiments, the gas company management platform can interact with the gas user platform and send the usage index to the gas user platform. For more information about the gas user platform, see Figure 1 and its related description.

[0068] Step 240, based on the usage index, determine the target gas user, and based on the gas user platform, send container replacement information to the target gas user, and send parameter adjustment instructions to the electronic monitoring device of the gas filling container corresponding to the target gas user.

[0069] Target gas users refer to users who need to replace their gas filling containers or whose gas filling containers have safety hazards.

[0070] In some embodiments, the gas company management platform may determine target gas users in a variety of ways based on the usage index.

[0071] For example, the gas company management platform can determine the gas users corresponding to the gas filling containers whose usage index is lower than the safety threshold as target gas users. The safety threshold is a threshold condition for determining the target gas users, which can be determined by the technicians.

[0072] In some embodiments, the gas company management platform can obtain maintenance data of gas filling containers; determine the index change trend based on maintenance data, monitoring data, usage information and usage index; determine potential gas users based on the index change trend and the first change threshold; determine target gas users based on the first usage intensity of the gas filling containers corresponding to the potential gas users. For more information, please refer to Figure 3 and its related description.

[0073] Container replacement information refers to relevant information that reminds target gas users to replace the gas filling containers they use. For example, container replacement information may include operating instructions, safety tips, etc. Among them, operating instructions refer to relevant instructions on how to replace gas filling containers, which may include how to obtain new gas filling containers, how to deal with gas filling containers in use, and contact information of technicians. Safety tips refer to tips related to safety hazards of gas filling containers, which may include possible risks and suggestions on how to deal with risks, and tips on how to stay safe during the process of replacing gas filling containers.

[0074] In some embodiments, the replacement container information may be determined by a technician.

[0075] In some embodiments, the gas company management platform may interact with the gas user platform based on the gas company service platform, and send the container replacement information to the gas user platform corresponding to the target gas user.

[0076] Parameter adjustment instructions refer to relevant instructions for adjusting the monitoring parameters of electronic monitoring devices.

[0077] Monitoring parameters refer to parameters related to monitoring by electronic monitoring devices. For example, monitoring parameters may include monitoring frequency, warning intensity, etc. of the electronic monitoring device.

[0078] In some embodiments, the gas company management platform may automatically generate parameter adjustment instructions. For example, the parameter adjustment instructions generated by the gas company management platform may be: increasing the detection frequency, increasing the warning intensity, etc.

[0079] In some embodiments, the gas company management platform may interact with the electronic monitoring device and send parameter adjustment instructions to the electronic monitoring device.

[0080] Step 250, based on the interaction between the government safety supervision sensor network platform, the government safety supervision management platform and the government safety supervision service platform and the people's user platform, the container replacement information is displayed based on the people's user platform.

[0081] In some embodiments, the gas company management platform can interact with the people's user platform based on the government safety supervision sensor network platform, the government safety supervision management platform and the government safety supervision service platform. For more information about the government safety supervision sensor network platform, the government safety supervision management platform, the government safety supervision service platform and the people's user platform, please refer to Figure 1 and its related description.

[0082] In some embodiments, the gas company management platform can display the container replacement information through various feasible methods such as pictures, text, and voice based on the people's user platform.

[0083] In some embodiments, the gas company management platform can determine whether the monitoring data and / or usage information meets the preset data conditions through the second model based on the monitoring information and / or usage information; in response to the monitoring data and / or usage information meeting the preset data conditions, adjust the target gas users, and re-interact with the people's user platform based on the government safety supervision sensor network platform, the government safety supervision management platform, and the government safety supervision service platform, and display the adjusted target gas users based on the people's user platform. The adjusted target gas users refer to the target gas users after the initial target gas users are adjusted. For example, the adjusted target gas users may include target gas users after adding or deleting the initially determined target gas users.

[0084] The second model refers to a model used to determine whether the monitoring data and / or usage information meets the preset data conditions. In some embodiments, the second model can be a machine learning model, such as a neural network (NN) model.

[0085] The preset data condition refers to a judgment condition for determining whether to adjust the target gas user. In some embodiments, the preset data condition may include a preset addition condition and a preset deletion condition. The preset addition condition refers to a preset condition for determining whether to add a new target gas user. The preset deletion condition refers to a preset condition for determining whether to delete the target gas user. In some embodiments, the preset data condition may be preset by the system or manually. For example, the preset addition condition in the preset data condition may include that the number of occurrences of abnormal data of the gas filling container used by other gas users in the subsequent period is greater than the preset value, the filling pressure fluctuates abnormally, the usage index is lower than the safety threshold, etc. Other gas users refer to gas users other than the target gas user. For another example, the preset deletion condition in the preset data condition may include that the usage index of the gas filling container used by the target gas user in the subsequent period is higher than the safety threshold, the gas supply rate is continuously 0, and the filling pressure is continuously lower than the maximum pressure value, etc. The subsequent period refers to a certain period of time after the target gas user is determined, and the subsequent period may be based on the system or manually preset.

[0086] In some embodiments, the input of the second model may include monitoring information and / or usage information; the output may include a determination result of whether the monitoring information and / or usage information meets a preset data condition.

[0087] In some embodiments, the second model can be trained based on the first training sample with the first label. For example, multiple first training samples with the first label can be input into the initial second model, and the loss function can be constructed by the first label and the result of the initial second model. The parameters of the initial second model can be iteratively updated based on the loss function by gradient descent or other methods. When the preset iteration condition is met, the model training is completed and the trained first model is obtained. Among them, the preset iteration condition can be that the loss function converges or tends to be stable, etc.

[0088] In some embodiments, each group of training samples of the first training sample may include sample monitoring data and sample usage information, and the first training sample may be obtained through historical data. In some embodiments, the first label may be the actual judgment result corresponding to the first training sample. The first label may be a numerical value of 0 or 1, wherein the first label of 1 represents that the corresponding first training sample meets the preset data condition, and the first label of 0 represents that the corresponding first training sample does not meet the preset data condition. The first label may be obtained by visiting and investigating gas users (for example, investigating whether the gas user corresponding to the first training sample has been added as a target gas user or deleted from the target gas user), or may be obtained through simulation experiments or historical data.

[0089] In some embodiments, in response to the monitoring data and / or usage information satisfying the preset data conditions, the gas company management platform may adjust the target gas users. For example, the gas company management platform may delete the target gas users corresponding to the gas filling containers whose monitoring data and / or usage information satisfy the preset deletion conditions in the preset data conditions. For another example, the gas company management platform may add other gas users corresponding to the gas filling containers whose monitoring data and / or usage information satisfy the preset addition conditions in the preset data conditions as target gas users.

[0090] In some embodiments, the gas company management platform can obtain the intensity change trend of the gas filling container corresponding to the gas user based on the second usage intensity of the gas filling container corresponding to the gas user; in response to the intensity change trend meeting the preset change condition, the gas user corresponding to the intensity change trend is added as a target gas user. For more information, see Figure 5 Related description.

[0091] In some embodiments of the present specification, a second model is used to determine whether the monitoring data and / or usage information meets the preset data conditions, and then the target gas users are adjusted. The self-learning ability of machine learning can be used to find patterns from a large amount of data to more accurately and comprehensively judge and adjust the target gas users, thereby improving the flexibility and adaptability of determining the target gas users.

[0092] In some embodiments of the present specification, by monitoring data and usage information, the usage index of the gas filling container in different time periods is determined, and then the target gas user is determined and the container replacement information is sent to the target gas user. This can achieve safe supervision of the filled gas, and timely remind the target gas user to replace the gas filling container, thereby avoiding safety hazards caused by aging or improper use of the gas filling container.

[0093] Figure 3 is an exemplary flow chart for determining target gas users according to some embodiments of this specification. In some embodiments, process 300 can be executed by the gas company management platform 170-1 of the filling gas safety supervision system 100 based on the smart gas Internet of Things. Figure 3 As shown, process 300 includes the following steps:

[0094] Step 310, obtain the maintenance data of the gas filling container. For the relevant description of the gas filling container, please refer to Figure 2 and its related description.

[0095] Maintenance data refers to information related to historical maintenance data of the gas filling container. For example, the maintenance data may include but is not limited to the historical maintenance time, maintenance times, maintenance reasons, etc. of the gas filling container.

[0096] In some embodiments, the gas company management platform can obtain maintenance data in the historical data from the storage device. The maintenance data can be input by gas users and / or maintenance technicians and stored in the storage device.

[0097] Step 320, based on the first change trend, maintenance data, monitoring data and usage information, determine the index change trend, the first change trend is determined by using the index. For more information about monitoring data and usage information, see Figure 2 and its related description.

[0098] The first change trend refers to the change trend of the usage index from the previous time period to the current time period, wherein the previous time period refers to the time period closest to the current time period among the different time periods corresponding to the usage index.

[0099] In some embodiments, the gas company management platform can determine the first change trend in a variety of ways based on the usage index of different time periods. For example, the gas company management platform can determine the ratio of the usage index difference to the usage index of the previous time period as the first change trend. The usage index difference refers to the value of the usage index of the current time period minus the usage index of the previous time period. The method for determining the usage index of the current time period is similar to Figure 2 The method of determining the index to be used is similar to that in the previous article. Figure 2 In the above description, the number of times abnormal data occurs in the current time period refers to the number of times abnormal data occurs within the time range from the end of the previous time period to the current time.

[0100] Index change trend refers to the change trend of the usage index of gas filling containers. For relevant instructions on the usage index, please refer to Figure 2 and its related description.

[0101] In some embodiments, the gas company management platform can determine the index change trend in a variety of ways based on the first change trend, maintenance data, monitoring data, and usage information.

[0102] Exemplarily, the gas company management platform can determine the first change trend based on the usage index, and determine the index change trend based on the correction factors corresponding to the maintenance data, monitoring data, and usage information. For example, the gas company management platform can determine the index change trend by the following formula: Index change trend = first change trend − correction factor corresponding to maintenance data − correction factor corresponding to monitoring data − correction factor corresponding to usage information.

[0103] In some embodiments, the gas company management platform can determine the correction factor in a variety of ways based on maintenance data, monitoring data, and usage information. Exemplarily, the gas company management platform can determine the correction factor based on historical data through a second preset rule. The second preset rule refers to a pre-set rule for determining the correction factor. An exemplary second preset rule can be: the more maintenance times in the maintenance data in the historical data and the longer the historical maintenance time, the larger the correction factor corresponding to the maintenance data; the more abnormal data in the monitoring data in the historical data, the larger the correction factor corresponding to the monitoring data; the more abnormal data in the usage information in the historical data, the larger the correction factor corresponding to the monitoring data. For relevant instructions on abnormal data, please refer to Figure 2 and its related description.

[0104] Maintenance data, monitoring data, and usage information all affect the probability of a gas filling container failing. For example, the more maintenance times and the more abnormal data in the monitoring data and usage information, the greater the probability of a gas filling container failing. Therefore, in some embodiments of this specification, by introducing correction factors corresponding to maintenance data, monitoring data, and usage information, respectively, to correct the first change trend and then determine the index change trend, the change trend of the usage index can be more accurately reflected, making the index change trend more in line with the actual situation, which is conducive to improving the accuracy of subsequent determination of potential gas users.

[0105] Step 330: determine potential gas users based on the index change trend and the first change threshold.

[0106] The first change threshold refers to the first threshold condition for determining a potential gas user. In some embodiments, the first change threshold can be preset by the system or manually. A potential gas user refers to a gas user who may become a target gas user.

[0107] In some embodiments, the first change threshold may be related to a climate change characteristic within a preset period of time.

[0108] The preset time period refers to a preset time period in historical time, for example, the most recent week, etc. The preset time period can be preset by the system or manually.

[0109] Climate change characteristics refer to characteristic information related to climate change, for example, climate change characteristics may include average temperature change value, average humidity change value, average wind speed change value, etc.

[0110] In some embodiments, the gas company management platform can determine climate change characteristics by calculation based on historical climate data. The historical climate data refers to historical data related to climate, such as historical temperature, historical humidity, historical wind speed, etc. In some embodiments, the gas company management platform can obtain historical climate data through a storage device or querying a climate website.

[0111] For example, the gas company management platform can calculate the absolute value of the temperature difference between multiple adjacent historical moments and determine the average value of the temperature change as the average value of the temperature change. The calculation method of other climate change characteristics such as the average value of humidity change and the average value of wind speed change is similar to the calculation method of the average value of temperature change.

[0112] In some embodiments, the greater the average change value of each climate data (such as temperature, humidity, wind speed, etc.) in the climate change feature, the greater the climate change feature, and the smaller the first change threshold.

[0113] The greater the degree of climate change, the greater the uncertainty in the use of gas filling containers, which is more likely to cause failure and loss of gas filling containers. In some embodiments of the present invention, the first change threshold is related to the climate change characteristics, and the first change threshold can be lowered when the climate change characteristics are large, thereby comprehensively determining the potential gas users corresponding to the gas filling containers that may have safety hazards caused by failure and loss, which is conducive to more accurate determination of target gas users in the future.

[0114] In some embodiments, the gas company management platform may determine potential gas users in a variety of ways based on the index change trend and the first change threshold. For example, the gas company management platform may determine the gas user corresponding to the gas filling container whose absolute value of the index change trend exceeds the first change threshold as a potential gas user.

[0115] In some embodiments, the gas company management platform may determine a second change threshold based on the intensity change trend of multiple gas filling containers; and determine potential gas users based on the index change trend, the first change threshold and the second change threshold.

[0116] The second change threshold refers to the second threshold condition for determining a potential gas user based on the second change trend. For instructions on the second change trend and determining the second change trend, see Figure 4 and its related description.

[0117] In some embodiments, the gas company management platform may determine the second change threshold in a variety of ways based on the intensity change trend of a plurality of gas filling containers.

[0118] The intensity change trend refers to the change trend of the second usage intensity of the gas filling container corresponding to the gas user. For more information about gas users, please refer to Figure 1 For more information about the intensity change trend and the second use intensity, see Figure 5 Related description.

[0119] For example, the gas company management platform can calculate the mean of the intensity change trends of multiple gas filling containers, and determine the second change threshold value through a third preset rule based on the aforementioned mean value. The third preset rule is a pre-set rule for determining the second change threshold value. An exemplary third preset rule may be: the larger the mean of the intensity change trend, the smaller the second change threshold value.

[0120] In some embodiments, the gas company management platform may determine potential gas users in a variety of ways based on the index change trend, the first change threshold, and the second change threshold. For example, the gas company management platform may determine as potential gas users the gas users corresponding to the gas filling containers whose absolute value of the first change trend in the index change trend is higher than the first change threshold, and whose absolute value of the second change trend in the index change trend is higher than the second change threshold.

[0121] In some embodiments of the present specification, the second change threshold is determined by the intensity change trend, and potential gas users are determined based on the exponential change trend, the first change threshold and the second change threshold. When the overall second usage intensity of the gas market increases, combined with the second change trend in the future time period, more potential gas users can be determined as much as possible, thereby improving the comprehensiveness of determining the target gas users and helping to avoid more safety hazards.

[0122] Step 340: determining a target gas user based on the first usage intensity of the gas filling container corresponding to the potential gas user.

[0123] The first usage intensity refers to the intensity with which potential gas users use gas filling containers, and can be used to measure the usage of gas filling containers by potential gas users.

[0124] In some embodiments, the gas company management platform can determine the first usage intensity in a variety of ways. For example, the gas company management platform can determine the first usage intensity based on the usage information through a fourth preset rule. The fourth preset rule refers to a pre-set rule for determining the first usage intensity. An exemplary fourth preset rule may be: the longer the usage time in the usage information, the greater the gas supply rate, and the higher the degree of wear of the device on the gas filling container, the higher the first usage intensity. The degree of wear of the device can be uploaded to the gas company management platform by a potential gas user through the gas user platform.

[0125] In some embodiments, the first usage intensity may be determined based on gas consumption data.

[0126] Gas consumption data refers to data related to gas consumption. For example, gas consumption data may include the total amount of gas used, the rate of change of gas supply rate, etc.

[0127] In some embodiments, the gas consumption data can be determined in a variety of ways based on the usage information. In some embodiments, the gas company management platform can establish a gas consumption curve based on the usage information, with the horizontal axis of the gas consumption curve being the usage time and the vertical axis being the gas supply rate. In some embodiments, the gas company management platform can determine the result of the definite integral of the gas consumption curve as the total amount of gas used in the gas consumption data, and determine the rate of change of the gas supply rate in the gas consumption data by calculating the slope of the gas consumption curve. Exemplarily, the gas company management platform can divide the gas consumption curve into a preset number of sub-intervals, determine the slope of each sub-interval, and determine the variance of the slopes of all sub-intervals as the rate of change of the gas supply rate. Wherein, the sub-interval slope refers to the average value of the slope of the gas consumption curve within the sub-interval, and the preset number can be based on the system or manually preset.

[0128] In some embodiments, the gas company management platform can determine the first usage intensity based on the gas consumption data and the fifth preset rule. The fifth preset rule refers to a pre-set rule for determining the first usage intensity based on the gas consumption data. An exemplary fifth preset rule may be: the greater the total amount of gas used in the gas consumption data and the higher the rate of change of the gas supply rate, the higher the corresponding first usage intensity. For example, the fifth preset rule may be: the first usage intensity = m Total gas usage + n The rate of change of the gas supply rate. Where m and n are preset values, which can be determined based on historical experience.

[0129] In some embodiments of the present specification, the first usage intensity is determined by gas consumption data, and the accurate first usage intensity can be determined from multiple aspects such as gas usage and gas pressure regulation frequency, which is conducive to the subsequent further determination of target gas users.

[0130] In some embodiments, the gas company management platform can determine the target gas users in a variety of ways based on the first usage intensity of the gas filling container corresponding to the potential gas users. For example, the gas company management platform can sort the potential gas users from high to low based on the size of the first usage intensity, and determine the potential gas users with a preset ranking as the target gas users. The preset ranking can be preset based on historical experience.

[0131] In some embodiments of the present specification, based on maintenance data, monitoring data, usage information and usage index, the index change trend is determined, and then the target gas users are determined. A more comprehensive target gas users can be determined by comprehensively considering multiple factors, ensuring timely replacement of gas filling containers with safety hazards, thereby improving the safety and comprehensiveness of filling gas supervision.

[0132] Figure 4is an exemplary schematic diagram of a first model according to some embodiments of the present specification.

[0133] In some embodiments, the usage information may include first usage information and second usage information, the index change trend may include a second change trend, and the gas company management platform may determine the second change trend 480 through the first model 430 based on the first usage information 410 and the second usage information 420.

[0134] The first usage information 410 is the usage information actively uploaded by the gas user. For example, the first usage information may include the usage time, filling time, filling times, etc. of the gas filling container during actual use.

[0135] The second usage information 420 is the usage information of the gas filling container monitored by the electronic monitoring device. For example, the second usage information may include the filling time, usage time, gas supply rate, gas alarm record, etc. of the gas filling container monitored by the electronic monitoring device. For more information about the electronic monitoring device, usage information and its acquisition, please refer to Figure 2 The corresponding description.

[0136] The second change trend refers to the change rate of the multiple predicted usage indexes in the future time period. The future time period refers to a period of time in the future from the current time. In some embodiments, the future time period can be manually preset or set by the system default. For example, the next week, the next month, etc.

[0137] The first model 430 is a model for determining the second change trend. In some embodiments, the first model may be a machine learning model, such as a neural network model.

[0138] In some embodiments, the input of the first model 430 may include the first usage information and the second usage information, and the output may be the second change trend.

[0139] In some embodiments, the gas company management platform can train the first model based on a plurality of second training samples with second labels. The training process of the first model is similar to that of the second model, which can be seen in Figure 2 Related description.

[0140] In some embodiments, the second training sample may include sample first usage information and sample second usage information. The second label may be a rate of change of an actual usage index in a future time period corresponding to the second training sample. The second training sample and the second label may be obtained through historical data.

[0141] In some embodiments, Figure 4As shown, the first model 430 may include an evaluation layer 430-1 and a change prediction layer 430-2. The gas company management platform may determine an evaluation result 440 through the evaluation layer 430-1 based on the first usage information 410 and the second usage information 420, and determine a second change trend 480 through the change prediction layer 430-2 based on the evaluation result 440, monitoring data 450, average usage information 460, and pressure regulation frequency 470. For relevant descriptions of monitoring data, see Figure 2 and its related description.

[0142] The evaluation layer 430-1 refers to a model used to determine the evaluation result. In some embodiments, the evaluation layer can be a machine learning model, such as a deep neural network (DNN) model.

[0143] In some embodiments, the input of the evaluation layer may include the first usage information and the second usage information, and the output may include the evaluation result.

[0144] The evaluation result 440 is an evaluation result of the consistency between the first usage information and the second usage information. The evaluation result can be used to verify and / or determine whether the gas user has omitted, concealed, or misreported.

[0145] In some embodiments, the evaluation result may be a specific value within a preset interval, and a higher value of the evaluation result indicates a higher degree of consistency between the first usage information and the second usage information. The preset interval (such as 0-1, etc.) may be preset by the system or manually, and the gas company management platform may also adjust the preset interval by other feasible methods such as linear transformation.

[0146] The change prediction layer 430-2 refers to a model used to determine the second change trend. In some embodiments, the change prediction layer can be a machine learning model, such as a neural network model.

[0147] In some embodiments, the input of the change prediction layer may include the evaluation result 440 , the monitoring data 450 , the average usage information 460 , and the voltage regulation frequency 470 , and the output may include the second change trend 480 .

[0148] Average usage information 460 refers to the average of the first usage information and the second usage information. In some embodiments, the gas company management platform can average the first usage information and the second usage information of the same type to obtain the average usage information. For example, if the usage time in the first usage information is 24 hours and the usage time in the second usage information is 26 hours, then the usage time in the average usage information is 25 hours.

[0149] The pressure regulation frequency refers to the frequency of pressure regulation of the gas filling container. In some embodiments, the gas company management platform can determine the number of times the gas filling container pressure is regulated per unit time as the pressure regulation frequency. The unit time can be preset by the system or manually.

[0150] In some embodiments, the gas company management platform may obtain the first model through joint training based on multiple third training samples with third labels.

[0151] In some embodiments, the third training sample may include sample first usage information, sample second usage information, sample monitoring data, sample average usage information, and sample voltage regulation frequency. The third label may be the actual evaluation result corresponding to the third training sample and the rate of change of the actual usage index in the future time period. The third training sample may be obtained through historical data. Among them, the actual evaluation result refers to the actual evaluation result of the sample first usage information and the sample second usage information corresponding to the third training sample in the same time period, and the third label may be manually labeled. The process of joint training may include: inputting the sample first usage information and the sample second usage information in the third training sample into the evaluation layer to obtain the evaluation result output by the evaluation layer; inputting the evaluation result, sample monitoring data, sample average usage information, and sample voltage regulation frequency output by the evaluation layer into the change prediction layer to obtain the second change trend output by the change prediction layer; constructing a first loss function with the actual evaluation result in the third label and the output of the evaluation layer, and constructing a second loss function with the rate of change of the actual usage index in the future time period in the third label and the output of the change prediction layer, wherein the first loss function may include a loss function using a regression problem, such as Mean Squared Error (MSE). Iteratively update the parameters of the evaluation layer based on the first loss function, and iteratively update the parameters of the change prediction layer based on the second loss function until the first loss function and the second loss function are less than a threshold or converge, or the training cycle reaches a threshold, etc., to obtain the trained first model. The second loss function may include a root mean square error, etc.

[0152] In some embodiments, the gas company management platform can determine whether the sample evaluation results of the training samples meet the preset result conditions; in response to the sample evaluation results not meeting the preset result conditions, assign the training samples a first weight; in response to the sample evaluation results meeting the preset result conditions, assign the training samples a second weight.

[0153] The sample evaluation result refers to the evaluation result obtained after the sample first usage information and the sample second usage information in the aforementioned third training sample are input into the evaluation layer.

[0154] The preset result condition is a judgment condition used to determine the weight of the training sample. The preset result condition can be preset by the system or manually. For example, the preset result condition may include but is not limited to the sample evaluation result being less than a threshold value (such as 0.8, etc.). The weight refers to the weight proportion of the loss item corresponding to the training sample in the loss function.

[0155] The first weight is the weight corresponding to the training sample whose sample evaluation result does not meet the preset result condition.

[0156] The second weight is the weight corresponding to the training sample whose sample evaluation result meets the preset result condition. It should be noted that the second weight is higher than the first weight.

[0157] In some embodiments, the gas company management platform can randomly determine the second weight, and determine the first weight to be (1-second weight). It should be noted that the second weight can be a value greater than 0.5 and less than 1, and can be set according to actual needs. In some embodiments, the gas company management platform can also use cross-validation and other methods to continuously monitor the performance of the change prediction layer under different candidate second weight settings on the validation set, determine the candidate second weight corresponding to the change prediction layer with the best performance as the second weight, and determine the first weight to be (1-second weight). In some embodiments, the gas company management platform can also periodically adjust the first weight and the second weight to improve the robustness and generalization performance of the first model.

[0158] In some embodiments, the gas company management platform can also conduct in-depth analysis of the training samples corresponding to the sample evaluation results that meet the preset result conditions to understand the reasons for the differences between the sample first usage information and the sample second usage information in the training samples, such as user misreporting, equipment failure, environmental changes, etc., so as to improve the change prediction layer's ability to identify the causes of the differences.

[0159] In some embodiments of the present specification, by assigning different weights to training samples, special attention can be paid to training samples with poor sample evaluation results, so that the change prediction layer can more systematically process training samples with poor sample evaluation results, optimize the training effect of the first model, and improve the reliability of the first model in practical applications.

[0160] In some embodiments of the present specification, through different layers in the first model, the evaluation results and the second change trend corresponding to different usage information can be accurately and efficiently predicted, thereby improving data processing efficiency and facilitating subsequent accurate judgment of target gas users.

[0161] In some embodiments of the present specification, by using the first model to predict the second change trend, the accuracy of the predicted second change trend can be improved, which is beneficial for subsequent determination of target gas users.

[0162] Figure 5 It is an exemplary schematic diagram of adjusting the target gas user according to some embodiments of this specification.

[0163] In some embodiments, the gas company management platform can obtain the intensity change trend 530 of the gas filling container corresponding to the gas user based on the second usage intensity 520 of the gas filling container corresponding to the gas user 510; in response to the intensity change trend meeting the preset change condition, the gas user 510 corresponding to the intensity change trend is added as a target gas user 540. For relevant instructions on the gas user 510, please refer to Figure 1 For details about target gas user 540, see Figure 2 and Figure 3 Description.

[0164] The second usage intensity 520 refers to the intensity of the gas user's use of the gas filling container, which can be used to measure the usage of the gas user's gas filling container. The second usage intensity is obtained in a similar way to the first usage intensity, which can be seen in Figure 3 Relevant description of step 340.

[0165] The intensity variation trend 530 is used to characterize the trend of the second usage intensity of the gas filling container corresponding to the gas user over time. For example, the intensity variation trend can characterize the increase, decrease or stabilization of the second usage intensity.

[0166] In some embodiments, the gas company management platform may obtain the intensity change trend of the gas filling container corresponding to the gas user in a variety of ways based on the second usage intensity of the gas filling container corresponding to the gas user.

[0167] For example, the gas company management platform can determine the ratio of the second usage intensity difference to the second usage intensity of the previous period as the intensity change trend. The second usage intensity difference refers to the value of the second usage intensity of the current period minus the second usage intensity of the previous period. For relevant instructions on the previous period, see Figure 3 and its related description.

[0168] The preset change condition is a condition for determining whether a gas user can become a target gas user. The preset change condition can be preset manually or set by system default. Exemplary preset change conditions may include: the intensity change trend continues to increase within a preset period of time, etc.

[0169] In some embodiments, the preset change condition may include an intensity change trend being greater than an intensity threshold.

[0170] The intensity threshold is a threshold condition for determining whether the intensity change trend meets the preset change condition.

[0171] In some embodiments, the intensity threshold may be determined based on the historical second usage intensity. For example, the gas company management platform may determine the intensity threshold based on the historical second usage intensity and based on a sixth preset rule. The historical second usage intensity may be acquired based on historical data. The sixth preset rule refers to a pre-set rule for determining the intensity threshold. An exemplary sixth preset rule may be: the larger the standard deviation of the historical second usage intensity, the smaller the intensity threshold.

[0172] In some embodiments of the present specification, an intensity threshold is obtained based on the historical second usage intensity, and then based on this, it is judged whether the intensity change trend meets the preset change condition, which can improve the accuracy of the judgment and reduce judgment errors.

[0173] In some embodiments, in response to the intensity change trend satisfying a preset change condition, the gas company management platform may add the gas user corresponding to the intensity change trend as a target gas user.

[0174] In some embodiments of the present specification, the intensity change trend is determined based on the second usage intensity of the gas user, and gas users with abnormal intensity changes can be screened out, which is conducive to expanding the determination range of target gas users and improving the safety of filling gas supervision.

[0175] 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.

[0176] 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.

[0177] 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 laminar flow hoods in this specification. Although the above disclosure discusses some of the invention embodiments 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.

[0178] 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.

[0179] 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.

[0180] 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.

[0181] 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. A method for monitoring gas filling safety based on smart gas Internet of Things, characterized in that: The method is executed by a gas company management platform of a filling gas safety supervision system based on a smart gas Internet of Things, and the method includes: Acquiring monitoring data of a gas filling container based on a device object platform, wherein the gas filling container includes an electronic monitoring device; wherein the monitoring data refers to monitored data related to a state of the gas filling container; Based on the device object platform, obtaining usage information of the gas filling container; wherein the usage information refers to relevant data of the gas filling container during actual use; Based on the monitoring data and the usage information, a usage index of the gas filling container at different time periods is determined by a first preset rule, and the usage index is sent to a gas user platform; wherein the usage index refers to a comprehensive indicator for evaluating the usage status and risk level of the gas filling container; and the first preset rule refers to a preset rule for determining the usage index; Based on the usage index, target gas users are determined, including: Acquiring maintenance data of the gas filling container; Determine an index change trend based on a first change trend, the maintenance data, the monitoring data and the usage information, wherein the first change trend is determined by the usage index; wherein the first change trend refers to a change trend of the usage index from a previous period to a current period; Determining potential gas users based on the index change trend and the first change threshold; Determine the target gas user based on the first usage intensity of the gas filling container corresponding to the potential gas user; wherein the first usage intensity refers to the intensity of the potential gas user using the gas filling container; Based on the gas user platform, container replacement information is sent to the target gas user, and a parameter adjustment instruction is sent to the electronic monitoring device of the gas filling container corresponding to the target gas user, wherein the parameter adjustment instruction is used to adjust the monitoring parameters of the electronic monitoring device; and Based on the interaction between the government safety supervision sensor network platform, the government safety supervision management platform and the government safety supervision service platform and the people's user platform, the target gas user and the replacement container information are displayed based on the people's user platform.

2. The method according to claim 1, characterized in that The usage information includes first usage information and second usage information, the exponential change trend includes a second change trend, and determining the second change trend includes: Based on the first usage information and the second usage information, the second change trend is determined by a first model, and the first model is a machine learning model; wherein the first usage information is the usage information actively uploaded by the gas user, and the second usage information is based on the usage information of the gas filling container monitored by the electronic monitoring device, and the second change trend refers to the change rate of multiple predicted usage indexes in a future time period.

3. The method according to claim 2, characterized in that The acquiring the usage information of the gas filling container based on the device object platform includes: Acquire the first usage information based on the interaction between the gas company service platform and the gas user platform; Based on the gas company's sensor network platform interacting with the device object platform, the second usage information uploaded by the device object platform is obtained.

4. The method according to claim 1, characterized in that: The display of the target gas user based on the people's user platform includes: Based on the monitoring data and / or the usage information, determining whether the monitoring data and / or the usage information meets a preset data condition through a second model, where the second model is a machine learning model; In response to the monitoring data and / or the usage information satisfying the preset data conditions, the target gas user is adjusted, and the government safety supervision sensor network platform, the government safety supervision management platform and the government safety supervision service platform interact with the people's user platform again, and the adjusted target gas user is displayed based on the people's user platform.

5. A filling gas safety supervision system based on smart gas Internet of Things, characterized in that: The system includes a people's user platform, a government safety supervision service platform, a government safety supervision management platform, a government safety supervision sensor network platform, a gas company service platform, a gas user platform, a government safety supervision object platform, a gas company sensor network platform and an equipment object platform. The government safety supervision object platform includes a gas company management platform. The gas company management platform is configured as follows: Acquiring monitoring data of a gas filling container based on the device object platform, wherein the gas filling container includes an electronic monitoring device; wherein the monitoring data refers to monitored data related to the state of the gas filling container; Based on the device object platform, obtaining usage information of the gas filling container; wherein the usage information refers to relevant data of the gas filling container during actual use; Based on the monitoring data and the usage information, a usage index of the gas filling container at different time periods is determined by a first preset rule, and the usage index is sent to a gas user platform; wherein the usage index refers to a comprehensive indicator for evaluating the usage status and risk level of the gas filling container; and the first preset rule refers to a preset rule for determining the usage index; Based on the usage index, target gas users are determined, including: Acquiring maintenance data of the gas filling container; Determine an index change trend based on a first change trend, the maintenance data, the monitoring data and the usage information, wherein the first change trend is determined by the usage index; wherein the first change trend refers to a change trend of the usage index from a previous period to a current period; Determining potential gas users based on the index change trend and the first change threshold; Determine the target gas user based on the first usage intensity of the gas filling container corresponding to the potential gas user; wherein the first usage intensity refers to the intensity of the potential gas user using the gas filling container; Based on the gas user platform, container replacement information is sent to the target gas user, and a parameter adjustment instruction is sent to the electronic monitoring device of the gas filling container corresponding to the target gas user, wherein the parameter adjustment instruction is used to adjust the monitoring parameters of the electronic monitoring device; and Based on the interaction between the government safety supervision sensor network platform, the government safety supervision management platform and the government safety supervision service platform and the people's user platform, the target gas user and the replacement container information are displayed based on the people's user platform.

6. The filling gas safety supervision system according to claim 5, characterized in that: The usage information includes first usage information and second usage information, the index change trend includes a second change trend, and the gas company management platform is further configured as follows: Based on the first usage information and the second usage information, the second change trend is determined by a first model, and the first model is a machine learning model; wherein the first usage information is the usage information actively uploaded by the gas user, and the second usage information is based on the usage information of the gas filling container monitored by the electronic monitoring device, and the second change trend refers to the change rate of multiple predicted usage indexes in a future time period.

7. The filling gas safety monitoring system according to claim 6 is characterized in that: The gas company management platform is further configured as follows: Acquiring the first usage information based on the interaction between the gas company service platform and the gas user platform; Based on the interaction between the gas company sensor network platform and the device object platform, the second usage information uploaded by the device object platform is obtained.

8. The filling gas safety monitoring system according to claim 5, characterized in that: The gas company management platform is further configured as follows: Based on the monitoring data and / or the usage information, determining whether the monitoring data and / or the usage information meets a preset data condition through a second model, where the second model is a machine learning model; In response to the monitoring data and / or the usage information satisfying the preset data conditions, the target gas user is adjusted, and the government safety supervision sensor network platform, the government safety supervision management platform and the government safety supervision service platform interact with the people's user platform again, and the adjusted target gas user is displayed based on the people's user platform.

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