Smart gas emergency gas supply device, internet of things system, method and medium

Abstract

The embodiment of the present specification provides a smart gas emergency gas supply device, which is an emergency vehicle, the emergency vehicle comprising a skid-mounted vehicle, a gas storage tank, an extendable pipeline group, a pressure regulating device, a gasification device and a control module, wherein the control module is configured to determine the operating parameters of the pressure regulating device and the gasification device based on an emergency gas supply scheme of the smart gas emergency gas supply device, wherein the emergency gas supply scheme at least comprises a gas source selection scheme and a gas demand, and the gas source selection scheme at least comprises gas pipeline network cross connection and gas tank direct supply.

Description

Technical Field

[0001] This specification relates to the field of emergency gas supply, and in particular to a smart emergency gas supply device, Internet of Things system, method and medium. Background Technology

[0002] Currently, urban life is inseparable from gas. When emergencies such as pipeline accidents occur, users' daily lives will be greatly affected, and emergency gas supply will generally be provided.

[0003] CN112145965A provides a vehicle-mounted gas emergency device and a gas emergency vehicle. The gas emergency device in this application pre-loads gas into a gas storage device, and delivers it to the user after gasification and pressure regulation through a gasification device and a pressure regulating device. However, when the gas storage capacity of the gas storage device is insufficient, the emergency gas supply still cannot be guaranteed.

[0004] Therefore, a smart gas emergency supply device and Internet of Things system are provided to improve the reliability of gas emergency supply and the level of emergency rescue, and avoid the impact of gas outage accidents. Summary of the Invention

[0005] This specification provides one or more embodiments of a smart emergency gas supply device, which is an emergency vehicle. The emergency vehicle includes a skid-mounted vehicle, a gas storage tank, an extendable pipeline assembly, a pressure regulating device, a gasification device, and a control module. The skid-mounted vehicle is configured to install the gas storage tank, the extendable pipeline assembly, the pressure regulating device, the gasification device, and the control module via a skid-mounted method. The extendable pipeline assembly includes at least an inlet pipeline assembly and an outlet pipeline assembly, wherein the inlet pipeline assembly is configured to connect to a pipeline in a gas pipeline network or within a preset range. The emergency vehicle awaiting dispatch has an exhaust pipe assembly configured to connect to the pipeline in the gas pipeline network or the pressure regulating device; the pressure regulating device is configured to regulate the gas pressure; the gasification device is configured to gasify the gas in the gas storage tank; the control module is configured to determine the operating parameters of the pressure regulating device and the gasification device based on the emergency gas supply scheme of the intelligent gas emergency supply device, wherein the emergency gas supply scheme includes at least a gas source selection scheme and gas demand, and the gas source selection scheme includes at least gas pipeline network bridging and direct gas tank supply.

[0006] This specification provides one or more embodiments of a smart gas emergency supply IoT system. The system includes a smart gas equipment object platform and a smart gas safety management platform. The smart gas equipment object platform is configured as a smart gas emergency supply device, wherein the smart gas emergency supply device is an emergency vehicle. The emergency vehicle includes a skid-mounted vehicle, a gas storage tank, an extendable pipeline assembly, a pressure regulating device, a gasification device, and a control module. The skid-mounted vehicle is configured to install the gas storage tank, the extendable pipeline assembly, the pressure regulating device, the gasification device, and the control module via a skid-mounted method. The extendable pipeline assembly includes at least an inlet pipeline assembly and an outlet pipeline assembly, wherein the inlet pipeline assembly is configured to... The system is configured to connect to a pipeline in the gas pipeline network or to an emergency vehicle within a preset range. The gas outlet pipeline group is configured to connect to the pipeline in the gas pipeline network or to the pressure regulating device. The pressure regulating device is configured to regulate the gas pressure. The gasification device is configured to gasify the gas in the gas storage tank. The control module is configured to receive control commands issued by the smart gas safety management platform and, based on the emergency gas supply plan of the smart gas emergency gas supply device, determine the operating parameters of the pressure regulating device and the gasification device. The emergency gas supply plan includes at least a gas source selection scheme and gas demand. The gas source selection scheme includes at least gas pipeline network bridging and direct gas tank supply.

[0007] This specification provides one or more embodiments of a smart emergency gas supply method. The method is implemented by a smart emergency gas supply device, which is an emergency vehicle. The emergency vehicle includes a skid-mounted vehicle, a gas storage tank, an extendable pipeline assembly, a pressure regulating device, a gasification device, and a control module. The method is executed by the control module and includes: determining an emergency gas supply scheme for the smart emergency gas supply device; and based on the emergency gas supply scheme, determining the operating parameters of the pressure regulating device and the gasification device. The emergency gas supply scheme includes at least a gas source selection scheme and gas demand, and the gas source selection scheme includes at least gas pipeline bridging and direct supply from the gas tank.

[0008] This specification provides one or more embodiments of a computer-readable storage medium that stores computer instructions. When a computer reads the computer instructions from the storage medium, the computer executes a smart emergency gas supply method. Attached Figure Description

[0009] This specification will be further described by way of exemplary embodiments, which will be described in detail with reference to the accompanying drawings. These embodiments are not limiting; in these embodiments, the same reference numerals denote the same structures, wherein:

[0010] Figure 1These are exemplary schematic diagrams of a smart gas IoT system according to some embodiments of this specification;

[0011] Figure 2 These are exemplary schematic diagrams of a smart emergency gas supply device according to some embodiments of this specification;

[0012] Figure 3 This is an exemplary schematic diagram illustrating the determination of a gas source selection scheme according to some embodiments of this specification;

[0013] Figure 4 This is an exemplary schematic diagram illustrating the prediction of gas demand according to some embodiments of this specification;

[0014] Figure 5 This is an exemplary flowchart showing the adjustment of emergency vehicle dispatching and gas source selection schemes according to some embodiments of this specification. Detailed Implementation

[0015] To more clearly illustrate the technical solutions of the embodiments in this specification, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the drawings described below are merely some examples or embodiments of this specification. For those skilled in the art, these drawings can be applied to other similar scenarios without creative effort. Unless obvious from the context or otherwise specified, the same reference numerals in the drawings represent the same structures or operations.

[0016] It should be understood that the terms “system,” “device,” “unit,” and / or “module” used herein are one way to distinguish different components, elements, parts, sections, or assemblies at different levels. However, if other terms can achieve the same purpose, they may be replaced by other expressions.

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

[0018] Emergency gas supply via gas storage devices and gas transport vehicles suffers from limited supply capacity. Furthermore, circulating gas supply through multiple gas transport vehicles is costly and cumbersome. Therefore, it is necessary to provide a smart emergency gas supply device and an Internet of Things (IoT) system to improve the reliability of emergency gas supply and reduce emergency repair costs. Existing technologies provide emergency gas devices and vehicles, but do not address how to adjust emergency gas supply methods or predict gas demand. Therefore, some embodiments in this specification provide a smart emergency gas supply device that can achieve emergency gas supply to local gas supply points within a gas pipeline network and flexibly allocate emergency gas supply plans.

[0019] Figure 1 This is an exemplary schematic diagram of a smart gas IoT system 100 according to some embodiments of this specification.

[0020] like Figure 1 As shown, the smart gas IoT system 100 may include a smart gas user platform 110, a smart gas service platform 120, a smart gas safety management platform 130, a smart gas sensor network platform 140, and a smart gas object platform 150.

[0021] The smart gas user platform 110 can be a platform for interacting with users. In some embodiments, the smart gas user platform 110 can be configured as a terminal device.

[0022] The smart gas service platform 120 can be a platform used to transmit user needs and control information. For example, the smart gas service platform 120 can obtain gas information from the smart gas safety management platform 130 and send it to the smart gas user platform 110.

[0023] The intelligent gas safety management platform 130 can be a platform that coordinates and integrates the connections and collaborations between various functional platforms, and aggregates all information from the Internet of Things (IoT) to provide sensing, management, and control functions for the IoT operating system. In some embodiments, the intelligent gas management platform 130 may include an intelligent gas emergency repair and maintenance management sub-platform and an intelligent gas data center.

[0024] The intelligent gas emergency repair and maintenance management sub-platform can be used to manage gas emergency repairs and maintenance. In some embodiments, the intelligent gas emergency repair and maintenance management sub-platform may include an equipment safety monitoring and management module, a safety alarm management module, a work order dispatch management module, and a material management module. The equipment safety monitoring and management module can be used to query historical and current safe operation data of the intelligent gas object platform 150. The safety alarm management module can be used to query or remotely process safety alarm information uploaded by the intelligent gas object platform 150. If on-site emergency repairs (e.g., emergency gas supply) are required, the intelligent gas emergency repair and maintenance management sub-platform can directly switch to the work order dispatch management module through the safety alarm management module. The work order dispatch management module can be used to select and dispatch engineering maintenance personnel according to task requirements, and to confirm and query the work order execution progress. The material management module can be used to query the personnel, types, quantities, etc., of the materials to be received for the corresponding work order.

[0025] The smart gas data center can be used to store and manage all operational information of the smart gas data management IoT system 100. In some embodiments, the smart gas data center can be configured as a storage device for storing data related to gas information, etc.

[0026] In some embodiments, the intelligent gas emergency repair and maintenance management sub-platform can be used to transmit user information, gas demand, and other relevant data to the intelligent gas data center for analysis and processing, determine the gas source selection scheme, and execute the gas source selection scheme by the intelligent gas emergency repair and maintenance management sub-platform. In some embodiments, the intelligent gas safety management platform 130 can be used to retrieve user information and other relevant data from the intelligent gas user platform 110 to determine the gas source selection scheme.

[0027] In some embodiments, the intelligent gas safety management platform 130 can be used to retrieve user information and other relevant data from the intelligent gas user platform 110 to determine gas demand. In some embodiments, the intelligent gas safety management platform 130 can be used to determine gas demand based on data output by the safety alarm management module of the intelligent gas emergency repair and maintenance management sub-platform.

[0028] In some embodiments, the smart gas safety management platform 130 can be used to acquire monitoring data (e.g., the current location of the emergency vehicle, its idle / busy status, and the storage capacity of the gas tank) uploaded by the smart gas sensor network platform 140 from the smart gas object platform 150 in real time, and to adjust the operating parameters of the smart gas object platform 150 based on the monitoring data.

[0029] The intelligent gas sensor network platform 140 can be a functional platform for managing sensor communication. In some embodiments, the intelligent gas sensor network platform 140 may include an intelligent gas equipment sensor network sub-platform and an intelligent gas maintenance engineering sensor network sub-platform.

[0030] The smart gas object platform 150 can be a functional platform for generating sensing information and executing control information. In some embodiments, the smart gas data center can acquire monitoring data from multiple devices of the smart gas object platform 150, such as the parameters and operating status of each device.

[0031] In some embodiments, the smart gas target platform 150 may include a smart gas equipment target sub-platform and a smart gas maintenance engineering target sub-platform. In some embodiments, the smart gas equipment target sub-platform may be configured as a smart gas emergency supply device, wherein the smart gas emergency supply device is an emergency vehicle, and the emergency vehicle may include a skid-mounted vehicle, a gas storage tank, an extendable pipeline assembly, a pressure regulating device, a gasification device, and a control module.

[0032] In some embodiments, the control module and / or the intelligent gas safety management platform 130 can be used to determine the operating parameters of the pressure regulating equipment and the gasification equipment based on the emergency gas supply scheme of the intelligent gas emergency supply device. The emergency gas supply scheme includes at least a gas source selection scheme and gas demand, and the gas source selection scheme includes at least gas pipeline bridging and direct supply from gas tanks.

[0033] Some embodiments in this specification, based on the smart gas IoT system 100, can form an information operation closed loop between the smart gas object platform 150 and the smart gas user platform 110, and operate in a coordinated and regular manner under the unified management of the smart gas safety management platform 130, thereby realizing the visualization and intelligentization of gas data and gas tasks.

[0034] Figure 2 This is an exemplary schematic diagram of a smart gas emergency supply device 200 according to some embodiments of this specification.

[0035] like Figure 2 As shown, the intelligent emergency gas supply device 200 may include a skid-mounted vehicle 210, a gas storage tank 220, an extendable pipeline assembly 230, a pressure regulating device 240, a gasification device 250, and a control module 260. In some embodiments, the intelligent emergency gas supply device 200 may include an emergency vehicle.

[0036] Skid-mounted vehicle 210 refers to a frame structure used for equipment integration. Multiple devices can be installed on skid-mounted vehicle 210 simultaneously, thereby achieving overall equipment relocation. In some embodiments, skid-mounted vehicle 210 can be configured to install gas storage tank 220, extendable pipeline assembly 230, pressure regulating device 240, gasification device 250, and control module 260 in a skid-mounted manner.

[0037] An extendable pipe assembly 230 refers to one or more pipes used for inter-pipe connection. The extendable pipe assembly 230 allows for the extension of the pipes to be connected. In some embodiments, the extendable pipe assembly 230 includes at least an inlet pipe assembly 231 and an outlet pipe assembly 232.

[0038] The air intake pipe assembly 231 refers to one or more pipes used to connect to the gas source. In some embodiments, the gas source may include pipes and gas storage tanks in a gas pipeline network. In some embodiments, the gas storage tank may include the gas storage tank 220 of the smart gas emergency supply device 200 and the gas storage tanks of emergency vehicles to be dispatched within a preset range.

[0039] The preset range can be a pre-determined area of ​​a certain size. For example, the preset range can be an area centered on location information (e.g., the current location of the emergency vehicle, the gas supply point, etc.) with a preset distance as its radius. In some embodiments, the preset distance can be a system default value or can be adjusted according to actual conditions. For example, when the gas supply point is close to the gas storage station, the preset distance can be relatively small; when the gas supply point is far from the gas storage station, the preset distance can be relatively large.

[0040] An emergency vehicle awaiting dispatch refers to one or more emergency vehicles whose current location is within a preset range. For example, an emergency vehicle awaiting dispatch could be an idle emergency vehicle located within the preset range. Another example is that an emergency vehicle awaiting dispatch could be one or more emergency vehicles whose distance from the gas supply point meets a first distance threshold. The first distance threshold can be set based on experience.

[0041] Gas outlet pipe assembly 232 refers to one or more pipes used to connect a gas supply point and / or a gas supply device. In some embodiments, the gas supply point may include pipes in a gas pipeline network, and the gas supply device may include a pressure regulating device 240.

[0042] The pressure regulating device 240 refers to a device used to regulate the pressure of gas. In some embodiments, the pressure regulating device 240 can be configured to regulate the pressure of gas before it is output, and deliver the regulated gas to the gas supply point for user use through the gas outlet pipeline assembly 232.

[0043] In some embodiments, the operating parameters of the pressure regulating device 240 may include inlet pressure, outlet pressure, and pressure regulating range. For example, the inlet pressure may be 0.5~6.4 MPa, the outlet pressure may be 1.6~2.5 MPa, and the pressure regulating range may be 0.2~2 MPa.

[0044] The gasification device 250 refers to a device used to gasify the gas in the gas storage tank. In some embodiments, when the gas supply is a gas storage tank, the gas storage tank can be connected to the gasification device 250 via a gas transmission pipeline, for transporting the gas it stores to the gasification device 250 via the gas transmission pipeline. The gasification device 250 can be connected to a pressure regulating device 240 via a gas transmission pipeline, for transporting the gasified and heated gas to the pressure regulating device 240.

[0045] In some embodiments, the operating parameters of the gasification device 250 may include gasification pressure, operating temperature, etc. For example, the gasification pressure may be 0.8~40 MPa, and the operating temperature may be -40~+50°C.

[0046] The control module 260 refers to a module used to receive and execute control commands. In some embodiments, the control module 260 can determine the operating parameters of the pressure regulating device 240 and the gasification device 250 based on the emergency gas supply plan of the intelligent gas emergency supply device 200 by receiving control commands issued by the intelligent gas safety management platform 130.

[0047] An emergency gas supply plan refers to the method of supplying gas to users through a gas supply point. In some embodiments, an emergency gas supply plan includes at least a gas source selection plan and gas demand.

[0048] In some embodiments, the control module 260 can generate an emergency gas supply plan by acquiring data from the smart gas data center. In some embodiments, the smart gas safety management platform 130 can directly generate an emergency gas supply plan and send it to the control module 260.

[0049] Gas demand refers to information related to gas supply. In some embodiments, gas demand may include gas usage demand, gas flow demand, gas pressure demand, etc. For example, gas usage demand may be the total gas demand at the user end, and gas flow demand may be positively correlated with the number of users.

[0050] Gas source selection scheme refers to the selection of the gas source. In some embodiments, the gas source selection scheme includes at least gas pipeline network bridging and direct gas tank supply.

[0051] In some embodiments, when the gas source is a pipe in a gas pipeline network, the gas source selection scheme can be gas pipeline network bridging. Gas pipeline network bridging refers to using gas from the gas pipeline network as an emergency gas supply source to supply gas to users by bridging the two ends of a faulty pipe. For example, by disconnecting the connection between the faulty pipe B and the normal pipes A and C, the two ends of the gas inlet pipe group 231 can be connected to the normal pipes A and C respectively to achieve gas pipeline network bridging.

[0052] In some embodiments, when the gas source is a gas storage tank, the gas source selection scheme can be direct gas supply from the gas storage tank. Direct gas supply from the gas storage tank refers to using the gas in the storage tank as an emergency gas source to supply gas to users.

[0053] In some embodiments, the intelligent gas safety management platform 130 can directly use the gas storage tank 220 of the intelligent gas emergency supply device 200 as an emergency gas source to supply gas to users. In some embodiments, the intelligent gas safety management platform 130 can dispatch emergency vehicles within a preset range to the gas supply point and connect the gas storage tank of the emergency vehicle through the gas inlet pipe group 231 to supply gas to users.

[0054] In some embodiments, gas pipeline bridging and direct gas cylinder supply can be used simultaneously. For example, when gas pipeline bridging is not yet completed, direct gas cylinder supply can be used to supply gas to users in order to achieve a stable gas supply.

[0055] In some embodiments, the control module 260 can determine the operating parameters of the pressure regulating device 240 and the gasification device 250 based on gas demand. For example, the control module 260 can determine the operating parameters of the pressure regulating device 240 and the gasification device 250 based on the gas consumption demand, gas flow demand, and gas pressure demand of the pipeline where the gas supply point is located. For example, when the gas consumption demand and / or gas flow demand is large, the gas pressure in the pipeline fluctuates greatly, and the operating parameters of the pressure regulating device 240 and the gasification device 250 can be appropriately increased to achieve a balance of gas pressure in the pipeline.

[0056] In some embodiments, the control module 260 can determine the operating parameters of the gasification device 250 based on the gas source selection scheme. For example, when the gas source is a gas storage tank, the operating parameters of the gasification device 250 can be set according to the manufacturer's usage specifications. As another example, when the gas source is a pipeline in a gas pipeline network, the operating parameters of the gasification device 250 can be set to 0, that is, the gasification device 250 is shut down.

[0057] In some embodiments of this specification, a smart gas emergency supply device is provided, which includes a skid-mounted vehicle, a gas storage tank, an extendable pipeline assembly, a pressure regulating device, a gasification device, and a control module. This device can realize emergency gas supply to local gas supply points in the gas pipeline network and flexibly allocate emergency gas supply schemes based on the actual needs of the gas supply points, thereby largely avoiding the impact of gas outage accidents and buying time for emergency repairs.

[0058] Figure 3This is an exemplary schematic diagram illustrating the determination of a gas source selection scheme according to some embodiments of this specification. In some embodiments, the gas source selection scheme 330 may be determined based on user information 310 of the user to be supplied with gas. In some embodiments, the determination of the gas source selection scheme 330 may be performed based on the intelligent gas safety management platform 130 and / or control module 260.

[0059] like Figure 3 As shown, based on user information 310, the gas demand 320 for a future time period can be predicted.

[0060] User information 310 refers to information related to users awaiting gas supply. For example, user information 310 may include user location distribution, gas usage records, user type, etc. User type may include commercial users, residential users, etc. More information regarding gas usage records can be found in [link to relevant documentation]. Figure 4 And its related descriptions.

[0061] In some embodiments, the intelligent gas safety management platform 130 can obtain user information 310 through various means. For example, the intelligent gas safety management platform 130 can obtain user information through user input, internal or external storage devices, etc.

[0062] For more information on gas demand, please refer to [link / reference]. Figure 2 And its related descriptions.

[0063] In some embodiments, the gas demand 320 for a future time period can be predicted in various ways. For example, the gas demand 320 for a future time period can be predicted based on historical gas demand data. For instance, the intelligent gas safety management platform 130 can acquire historical gas demand data for multiple historical time periods corresponding to the future time period, perform statistical averaging on the historical gas demand data (e.g., mean, median, etc.), and use the statistical average of the historical gas demand data (e.g., historical average gas consumption, historical average gas flow, historical average gas pressure, etc.) as the gas demand 320 for that future time period.

[0064] In some embodiments, the intelligent gas safety management platform 130 can predict gas demand 320 for multiple future time periods based on user information 320.

[0065] In some embodiments, gas demand can be predicted using a demand forecasting model. For more information, please refer to [link to relevant documentation]. Figure 4 And its related descriptions.

[0066] like Figure 3 As shown, based on the gas demand 320 in the future time period, the gas source selection scheme 330 can be determined.

[0067] In some embodiments, the gas source selection scheme 330 can be determined in a variety of ways. For example, the gas source selection scheme 330 can be determined using historical gas supply data from the gas supply point.

[0068] For example, the intelligent gas safety management platform 130 can obtain the historical gas consumption of gas supply points within the same time period, calculate the average of the historical gas consumption, and use the average of the historical gas consumption as the emergency gas supply. When the emergency gas supply is lower than the preset gas consumption threshold, direct supply from gas cylinders is used; when the emergency gas supply is higher than or reaches the preset gas consumption threshold, gas pipeline bridging is used.

[0069] In some embodiments, the intelligent gas safety management platform 130 can determine the cost of gas pipeline cross-connection and the cost of direct gas tank supply based on gas demand, and determine the gas source selection scheme 330 based on the cost of gas pipeline cross-connection and the cost of direct gas tank supply.

[0070] The cost of gas pipeline crossing refers to the cost associated with completing a gas pipeline crossing. For example, the cost of gas pipeline crossing may be related to the manpower required, deployment time, and crossing length. Crossing length can refer to the length of the faulty or under-repair pipeline.

[0071] In some embodiments, manpower requirements and deployment time can be determined based on historical inspection and / or maintenance data corresponding to the jumper length. In some embodiments, manpower requirements and deployment time can also be set by the system. In some embodiments, the cost of gas pipeline jumper connections can be positively correlated with manpower requirements, deployment time, jumper length, etc.

[0072] The cost of direct gas cylinder supply refers to the cost associated with supplying gas cylinders. For example, the cost of direct gas cylinder supply may be related to the number of emergency vehicles used and the transportation distance. In some embodiments, the cost of direct gas cylinder supply may be directly related to the number of emergency vehicles used and the transportation distance.

[0073] In some embodiments, the cost of direct gas cylinder supply may also be related to the demand for emergency vehicles to be dispatched within a preset range. For example, the cost of direct gas cylinder supply may be positively related to the demand for emergency vehicles to be dispatched.

[0074] Demand level refers to a parameter used to assess the degree of demand for emergency vehicles. In some embodiments, demand level can be expressed in words, numbers, percentages, etc.

[0075] In some embodiments, the demand for emergency vehicles can be determined based on emergency vehicle information. Emergency vehicle information may include request volume, current location, idle / busy status, and gas tank capacity. More information about emergency vehicle information can be found at [link to relevant documentation]. Figure 5 And its related descriptions.

[0076] In some embodiments, the demand for emergency vehicles can be determined based on the number of requests and the number of available emergency vehicles (e.g., idle emergency vehicles). The number of requests refers to the number of times an emergency vehicle is requested to perform emergency rescue missions. For example, the demand for emergency vehicles can be the ratio of the number of requests to the number of available emergency vehicles. When the ratio is less than or equal to 1, the number of available emergency vehicles can meet the request; when the ratio is greater than 1, the number of available emergency vehicles cannot meet the request.

[0077] In some embodiments of this specification, by comprehensively considering the demand for emergency vehicles, priority can be given to dispatching emergency vehicles that can respond to emergency gas supply tasks at gas supply points in a timely manner, thereby greatly increasing the possibility of continuous gas supply and ensuring the gas supply at gas supply points.

[0078] In some embodiments, the cost of gas pipeline cross-connection can be determined based on a first equilibrium value. The first equilibrium value includes at least a manpower equilibrium value, a time equilibrium value, and a length equilibrium value. In some embodiments, the first equilibrium value can be set based on experience. For example, the intelligent gas safety management platform 130 can determine the first equilibrium value based on the manpower requirements, deployment time, and cross-connection length corresponding to the ideal cost (e.g., the cost within the emergency response budget) when supplying V cubic meters of gas.

[0079] In some embodiments, the cost of gas pipeline crossing can be determined based on the ratio of manpower demand, deployment time, and crossing length corresponding to gas demand to the corresponding first balance value. For example, the intelligent gas safety management platform 130 can determine the first ratio of manpower demand to manpower balance value, the second ratio of deployment time to time balance value, and the third ratio of crossing length to length balance value, and determine the statistical values ​​(mean, weighted average, etc.) of the first ratio, second ratio, and third ratio as the cost of gas pipeline crossing.

[0080] In some embodiments, the cost of direct gas tank supply can be determined based on a second balance value. The second balance value includes at least a trip balance value and a distance balance value. In some embodiments, the second balance value can be set based on experience. The determination of the second balance value is similar to the determination of the first balance value. The determination of the cost of direct gas tank supply is similar to the determination of the cost of gas pipeline cross-connection.

[0081] In some embodiments, the cost of gas pipeline bridging and the cost of direct gas tank supply can also be determined by machine learning models, such as neural network models.

[0082] In some embodiments, the intelligent gas safety management platform 130 can determine the gas source selection scheme by comparing the cost of gas pipeline connection and the cost of direct supply from gas tanks. For example, when the cost of gas pipeline connection is higher than the cost of direct supply from gas tanks, the gas source end of the gas source selection scheme can be a gas storage tank.

[0083] In some embodiments, the intelligent gas safety management platform 130 can determine the gas source selection scheme by adjusting the gas pipeline connection cost and the direct gas tank supply cost based on actual conditions through adjustment coefficients. The adjustment coefficient must be greater than or equal to 1. For example, when the demand of the emergency vehicle to be dispatched is greater than 1, the adjustment coefficient can be allocated to the direct gas tank supply cost to increase the direct gas tank supply cost. In this case, the gas source can be a pipeline in the gas pipeline network.

[0084] In some embodiments of this specification, by comprehensively considering the costs of gas pipeline cross-connection and direct gas tank supply, a gas source selection scheme is determined. The costs of different emergency gas supply methods can be evaluated quantitatively, thereby allowing the selection of the optimal emergency gas supply method based on actual available resources and actual gas demand.

[0085] In some embodiments of this specification, by predicting gas demand in the future time period and determining the gas source selection scheme, the emergency gas supply plan of the gas supply point can be adjusted in advance, and emergency vehicles, maintenance personnel, maintenance materials, etc. can be dispatched, thereby largely avoiding the impact of gas outages and improving the efficiency of emergency rescue.

[0086] Figure 4 This is an exemplary schematic diagram illustrating the prediction of gas demand according to some embodiments of this specification.

[0087] In some embodiments, the intelligent gas safety management platform 130 can determine a future time period 420 based on the fault repair duration 410, determine a gas demand map 450 based on user information 430 and gas usage records 440, and predict the gas demand for the future time period 470 based on the gas demand map 450 through a demand prediction model 460.

[0088] In some embodiments, the intelligent gas safety management platform 130 can determine the fault repair duration 410 based on fault information and corresponding historical maintenance data. For example, the intelligent gas safety management platform 130 can determine a statistical value (e.g., mean, median, etc.) of historical maintenance duration based on historical maintenance data, and determine the statistical value as the fault repair duration 410.

[0089] Fault information may include user-reported fault descriptions, fault images, and fault locations. Historical maintenance data may include historical maintenance durations and quantities of materials used in maintenance. The intelligent gas safety management platform 130 can obtain fault information and / or historical maintenance data through the intelligent gas object platform 150, the intelligent gas sensor network platform 140, etc.

[0090] In some embodiments, the fault repair time 410 can also be determined by staff assessment and uploaded to the smart gas safety management platform 130 via user terminal.

[0091] In some embodiments, the intelligent gas safety management platform 130 can determine the fault repair termination time based on the estimated fault repair start time and fault repair duration 410, wherein the time period from the fault repair start time to the fault repair termination time is a candidate time period. The intelligent gas safety management platform 130 can determine corresponding historical candidate time periods based on the candidate time periods, and determine historical gas demand data (e.g., number of users, historical gas consumption per unit time, and historical gas flow rate) within the corresponding historical candidate time periods based on the corresponding historical candidate time periods. The intelligent gas safety management platform 130 can determine sub-time periods within the historical candidate time periods where historical gas demand data reaches or exceeds a preset demand threshold as future time periods 420 requiring emergency gas supply within the candidate time periods.

[0092] For example, the intelligent gas safety management platform 130 can identify sub-time periods within the historical candidate time periods where historical gas consumption exceeds the consumption threshold as future time periods 420 within the candidate time period that require emergency gas supply. Similarly, the intelligent gas safety management platform 130 can identify sub-time periods within historical candidate time periods where historical gas flow exceeds the flow threshold as future time periods 420 within the candidate time period that require emergency gas supply.

[0093] In some embodiments, the intelligent gas safety management platform 130 may also directly determine the candidate time period as the future time period 420.

[0094] Gas usage record 440 refers to the gas consumption of a user awaiting gas supply within a historical time period (e.g., one week). For example, a gas usage record could be the daily gas consumption Q cubic meters of a user awaiting gas supply over the past week.

[0095] The gas demand graph 450 can be a graph used to characterize gas demand. In some embodiments, the gas demand graph 450 can be a data structure consisting of nodes 451 and edges 452, with edges 452 connecting nodes 451, and nodes 451 and edges 452 can have features.

[0096] Node 452 may include user nodes, gas pipeline branch nodes, and gas supply points. Each user node corresponds to at least one user who needs gas supply.

[0097] Node characteristics can reflect information related to user nodes, gas pipeline branch nodes, and gas supply points. For example, the node characteristics of a user node may include user information, gas usage records, and current location. Similarly, the node characteristics of a gas pipeline branch node may include gas flow rate and gas velocity. Furthermore, the node characteristics of a gas supply point may include gas flow rate, ignition gas velocity, and total gas consumption for different time periods. Gas flow rate and gas velocity can be obtained using instruments such as flow meters and velocity meters deployed in the gas pipeline.

[0098] Edge 451 can correspond to a gas pipeline. For example, there is an edge between two gas pipeline branch nodes connected by a gas pipeline, and the gas flow direction is the direction of the edge. Edge features can reflect information about the gas pipeline. For example, edge features can include gas pipeline length, gas pipeline class (e.g., main pipeline, primary branch pipeline, secondary branch pipeline, etc.).

[0099] In some embodiments, edge 451 has a direction, and a node may have outgoing edges and / or incoming edges, wherein an incoming edge is an edge pointing to the node, and an outgoing edge is an edge originating from the node and pointing to another node. That is, gas can flow in from a gas pipeline branch node, and it can also flow out from a gas pipeline branch node.

[0100] Demand forecasting model 460 can be used to predict gas demand for future periods. Demand forecasting model 460 can be a graph neural network (GNN) model or other models, or it can be a graph neural network model with added processing layers or modified processing methods.

[0101] In some embodiments, the input to the demand forecasting model 460 may include a gas demand map 450 and at least one future time period 420, wherein the gas supply nodes of the gas demand map 450 output the predicted gas demand 470 for the future time period.

[0102] In some embodiments, the demand forecasting model 460 can be trained based on training data. The training data includes training samples and training labels. For example, training samples may include sample gas demand maps for sample time periods, and labels may be the gas demand for the corresponding sample time period for each sample gas demand map. The nodes and their attributes, edges and their attributes of the sample gas demand maps are similar to those described above. Training samples can be determined based on historical data, and labels can be determined by the intelligent gas safety management platform 130 or manually. The sample time period can be a randomly selected time period.

[0103] In some embodiments, the demand forecasting model 460 can be trained based on multiple labeled training samples. The intelligent gas safety management platform 130 can input multiple labeled training samples into the initial demand forecasting model, construct a loss function using the labels and the results of the initial demand forecasting model, and iteratively update the parameters of the initial demand forecasting model based on the loss function. When the loss function of the initial demand forecasting model meets preset conditions, the model training is complete, and a trained demand forecasting model is obtained. These preset conditions may include loss function convergence, the number of iterations reaching a threshold, etc.

[0104] In some embodiments, the intelligent gas safety management platform 130 can determine the demand coefficient based on the fluctuation value of the sample gas consumption records in the training sample, and determine the tag based on the demand coefficient and the actual gas demand of the gas supply point.

[0105] The fluctuation value refers to the variance of gas consumption within the same time period in a sample gas consumption record. For example, if the gas consumption between 08:00 and 10:00 in the first sample gas consumption record is M cubic meters, and the gas consumption between 08:00 and 10:00 in the second sample gas consumption record is N cubic meters, then the fluctuation value can be the variance of M and N.

[0106] The demand coefficient is a parameter value related to the stability of gas usage. For example, for sample gas usage records with large fluctuations (i.e., greater uncertainty in gas flow), the corresponding demand coefficient is larger. In some embodiments, the demand coefficient is greater than or equal to 1. In some embodiments, the demand coefficient can be positively correlated with the fluctuation value.

[0107] In some embodiments, the label may be the product of the demand coefficient and the gas demand for the sample period.

[0108] In some embodiments of this specification, gas demand maps can be used to predict future gas demand based on complex physical relationships and demand forecasting models. Even if users in different locations consume gas at the same rate, their demands for gas flow rate, gas velocity, and gas pressure will differ. Gas demand maps can correlate users in different locations, comprehensively considering various factors affecting gas demand, and thus predict gas demand.

[0109] In some embodiments of this specification, by constructing a gas demand map based on user data and gas data, a trained demand forecasting model can be used to predict the gas demand for at least one future time period. This allows for a more accurate estimation of the gas demand at the supply point, taking into account actual conditions, and reducing the human cost and resource waste required for manual assessment.

[0110] Figure 5This is an exemplary flowchart showing adjustments to emergency vehicle dispatching and gas source selection schemes according to some embodiments of this specification. In some embodiments, in response to a direct gas source selection scheme of gas cylinder supply, process 500 can be executed based on the intelligent gas safety management platform 130 and / or control module 260. Figure 5 As shown, process 500 includes the following steps:

[0111] Step 510: Based on the smart gas IoT system 100, dynamically acquire emergency vehicle information within a preset range. In some embodiments, the smart gas IoT system 100 includes at least a smart gas safety management platform 130 and a smart gas object platform 150.

[0112] For more information on preset ranges, please refer to [link / reference]. Figure 2 And related descriptions. More information about emergency vehicles can be found at [link to relevant documentation]. Figure 3 And its related descriptions.

[0113] In some embodiments, the smart gas IoT system 100 can dynamically acquire emergency vehicle information within a preset range through various methods. Dynamic acquisition can refer to automatically capturing relevant information. For example, the smart gas IoT system 100 can dynamically acquire emergency vehicle information within a preset range through preset or statistical methods, storage devices, smart gas object platform 150, etc.

[0114] Step 520: Based on emergency vehicle information within a preset range, assess the sustainability of direct gas cylinder supply.

[0115] Sustainability duration refers to the duration during which gas cylinders can continuously supply gas. For example, sustainability duration can be the time period from the start of gas cylinder supply to the interruption of gas cylinder supply.

[0116] In some embodiments, the sustainability of direct gas supply can be assessed in multiple ways. For example, the intelligent gas safety management platform 130 can construct an assessment vector based on gas demand, gas supply point, user information, and emergency vehicle information. By searching the vector database, it can identify at least one candidate vector whose similarity to the assessment vector is higher than a preset threshold. The platform can then perform a weighted summation of the candidate sustainability durations corresponding to the at least one candidate vector to determine the sustainability of direct gas supply.

[0117] In some embodiments, the intelligent gas safety management platform 130 can obtain the dispatchable emergency vehicles for a future time period, and determine the sustainable duration of direct gas supply based on the current location of the dispatchable emergency vehicles and the gas tank storage capacity.

[0118] A dispatchable emergency vehicle refers to an emergency vehicle that is idle during off-peak hours. For example, a dispatchable emergency vehicle could be an emergency vehicle located within a preset range that has not responded to emergency gas supply.

[0119] In some embodiments, the intelligent gas safety management platform 130 can obtain dispatchable emergency vehicles within a preset range through various methods. For example, the intelligent gas safety management platform 130 can obtain dispatchable emergency vehicles within a preset range through information uploaded by the intelligent gas object platform.

[0120] In some embodiments, the intelligent gas safety management platform 130 can sort multiple dispatchable emergency vehicles from near to far based on the current location of the vehicles and the distance between the gas supply points, and for each dispatchable emergency vehicle, determine the gas supply duration based on gas demand and gas tank capacity.

[0121] For example, the intelligent gas safety management platform 130 can, based on the distance ranking and gas supply duration of multiple dispatchable emergency vehicles, identify dispatchable emergency vehicles that cannot arrive at the gas supply point in time as interrupted emergency vehicles, and identify the dispatchable emergency vehicle preceding the interrupted emergency vehicle as the target emergency vehicle. The intelligent gas safety management platform 130 can determine the time point corresponding to the depletion of the gas tank storage of the target emergency vehicle as the end time point of the sustainable supply duration, and determine the sustainable duration of direct gas tank supply based on the start and end times of gas tank supply.

[0122] In some embodiments of this specification, the duration of continuous gas supply from the gas tank can be determined by the current location of the dispatchable emergency vehicle and the gas tank's storage capacity, thus ensuring a continuous gas supply to the emergency gas supply point.

[0123] In some embodiments, the duration of continuous operation may also be related to the distance between the gas supply point and the gas storage station. In some embodiments, the intelligent gas safety management platform 130 can determine, based on the distance between the gas supply point and the gas storage station, the duration (i.e., refueling time) of a dispatchable emergency vehicle traveling from the gas supply point to the gas storage station to replenish gas and returning to the gas supply point within a preset range, and, based on the refueling time, determine whether the dispatchable emergency vehicles within the preset range meet the conditions for continuous gas supply after the gas storage tank of the dispatchable emergency vehicle is depleted, thereby determining the duration of continuous direct gas supply.

[0124] In some embodiments, the conditions for continued gas supply refer to the conditions under which emergency vehicles within a preset range can continue to supply gas within the refueling time. For example, the conditions for continued gas supply may include the distance between the emergency vehicle and the gas supply point being less than or equal to a second distance threshold, or the gas tank capacity of the emergency vehicle being dispatched being greater than or equal to a capacity threshold. The second distance threshold may be the maximum distance that the emergency vehicle being dispatched can travel to the gas supply point within the refueling time. The capacity threshold may be the minimum capacity that the emergency vehicle being dispatched can provide emergency gas supply within the refueling time.

[0125] In some embodiments, the intelligent gas safety management platform 130 can identify emergency vehicles awaiting dispatch that cannot arrive at the gas supply point in time to provide emergency gas supply within the replenishment period as interrupted emergency vehicles, and identify the previous emergency vehicle awaiting dispatch as the target emergency vehicle. The intelligent gas safety management platform 130 can determine the time point corresponding to the depletion of the gas tank storage of the target emergency vehicle as the end time point of the sustainable duration, and determine the sustainable duration of direct gas tank supply based on the start and end time points of gas tank supply.

[0126] In some embodiments of this specification, by determining the refueling time of the emergency vehicle, it is determined whether the emergency vehicle to be dispatched can meet the conditions for continuous gas supply within the refueling time, and the sustainable duration can be determined. This can realize the cyclical gas supply of the gas supply point and avoid the adverse effects of gas outage.

[0127] Step 530: Based on the duration of operation, dispatch emergency vehicles within the preset range and dynamically adjust the gas source selection scheme.

[0128] For more information on emergency vehicles awaiting dispatch and gas source selection, please refer to [link / reference]. Figure 2 And related content.

[0129] In some embodiments, the intelligent gas safety management platform 130 can determine the priority of multiple emergency vehicles to be dispatched within a preset range based on the duration of operation, and dispatch the corresponding emergency vehicles to the gas supply point based on the priority.

[0130] The priority of emergency vehicles awaiting dispatch can be related to emergency vehicle information. For example, an emergency vehicle awaiting dispatch that is idle (i.e., a dispatchable emergency vehicle) can have the highest priority, while an emergency vehicle awaiting dispatch that is busy (i.e., has responded to other tasks) can have the lowest priority. As another example, an emergency vehicle awaiting dispatch that is closest to the gas supply point and has a large gas storage tank can have the highest priority.

[0131] In some embodiments, the intelligent gas safety management platform 130 can determine the priority of the corresponding emergency vehicle to be dispatched based on the weighted sum of the current location, idle / busy status and gas tank storage capacity, and sort the priority of the emergency vehicles to be dispatched based on the weighted sum, and dispatch the emergency vehicle with the highest priority to the gas supply point.

[0132] In some embodiments, the intelligent gas safety management platform 130 can adjust the gas source selection scheme to gas pipeline cross-connection based on the end time of the sustainable duration, and send the relevant adjustment information to the intelligent gas emergency repair management sub-platform. Through the work order dispatch module and material preparation module, the platform can schedule and / or prepare personnel and / or cross-connection materials for gas pipeline cross-connection in advance.

[0133] In some embodiments of this specification, when the gas source selection scheme is direct gas cylinder supply, by evaluating the sustainability of direct gas cylinder supply, dispatching emergency vehicles, and dynamically adjusting the gas source selection scheme, the gas source supply scheme can be adjusted according to the actual situation of emergency gas supply to ensure continuous gas supply to the gas supply point.

[0134] This specification also provides a smart emergency gas supply method in one or more embodiments, which is executed by a control module. The method includes determining an emergency gas supply scheme for the smart emergency gas supply device; and based on the emergency gas supply scheme, determining the operating parameters of a pressure regulating device and a gasification device. The emergency gas supply scheme includes at least a gas source selection scheme and gas demand, and the gas source selection scheme includes at least gas pipeline bridging and direct supply from gas tanks.

[0135] One or more embodiments of this specification also provide a computer-readable storage medium that stores computer instructions. When a computer reads the computer instructions from the storage medium, the computer executes a smart gas emergency supply method.

[0136] The basic concepts have been described above. Obviously, for those skilled in the art, the detailed disclosure above is merely illustrative and does not constitute a limitation of this specification. Although not explicitly stated herein, 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 and therefore remain within the spirit and scope of the exemplary embodiments described herein.

Claims

1. A smart gas emergency gas supply device, characterized in that, The intelligent gas emergency gas supply device is an emergency vehicle, and the emergency vehicle comprises a skid-mounted vehicle, a gas storage tank, an extendable pipeline group, a pressure regulating device, a gasification device and a control module: The skid-mounted vehicle is configured to install the gas storage tank, the extendable pipeline group, the pressure regulating device, the gasification device and the control module in a skid-mounted manner; The extendable pipeline group at least comprises an inlet pipeline group and an outlet pipeline group, wherein the inlet pipeline group is configured to be connected to a pipeline in a gas pipeline network or a to-be-scheduled emergency vehicle within a preset range, and the outlet pipeline group is configured to be connected to the pipeline in the gas pipeline network or the pressure regulating device; The pressure regulating device is configured to regulate the gas pressure; The gasification device is configured to perform gasification treatment on the gas in the gas storage tank; The control module is configured to determine operation parameters of the pressure regulating device and the gasification device based on an emergency gas supply scheme of the intelligent gas emergency gas supply device, wherein the emergency gas supply scheme at least comprises a gas source selection scheme and a gas demand, and the gas source selection scheme at least comprises gas pipeline network cross connection and gas tank direct supply; The control module is further configured to predict the gas demand in a future time period based on user information of a to-be-supplied user; Based on the gas demand in the future time period, the gas source selection scheme is determined, comprising: Based on the gas demand, a gas pipeline network cross connection cost and a gas tank direct supply cost are determined; Based on the gas pipeline network cross connection cost and the gas tank direct supply cost, the gas source selection scheme is determined, wherein the gas pipeline network cross connection cost is related to human demand, deployment time length and cross connection length corresponding to gas pipeline network cross connection, the gas tank direct supply cost is related to emergency vehicle number and transportation distance corresponding to gas tank direct supply, and the gas tank direct supply cost is further related to demand degree of a to-be-scheduled emergency vehicle within the preset range, the demand degree being determined based on emergency vehicle information.

2. The smart gas emergency gas supply device according to claim 1, characterized in that, The prediction of the gas demand in the future time period based on the user information comprises: Based on a fault maintenance time length, the future time period is determined; Based on the user information and a gas use record, a gas demand graph is determined; Based on the gas demand graph, the gas demand in the future time period is predicted by a demand prediction model, wherein the demand prediction model is a machine learning model. 3.The smart gas emergency gas supply device according to claim 2, characterized in that, The demand prediction model is obtained based on a plurality of labeled training samples: The label acquisition comprises: Based on a fluctuation value of a sample gas use record in the training sample, a demand coefficient is determined; Based on the demand coefficient and an actual gas demand of a gas supply point, the label is determined, wherein the fluctuation value is a variance of gas usage in the same time period in the sample gas use record, and the demand coefficient satisfies greater than or equal to 1.

4. The smart gas emergency gas supply device according to claim 1, characterized in that, The control module is further configured to: in response to the gas source selection scheme being the gas tank direct supply, based on an intelligent gas Internet of Things platform, dynamically acquiring emergency vehicle information within the preset range, wherein the emergency vehicle information comprises at least one of a current position, an idle / busy state and a gas storage tank storage amount; based on the emergency vehicle information within the preset range, evaluating a sustainable time length of the gas tank direct supply; Based on the sustainable duration, the emergency vehicle in the preset range is scheduled, and the gas source selection scheme is dynamically adjusted.

5. A smart gas emergency gas supply Internet of Things system, characterized in that, The system comprises a smart gas equipment object platform and a smart gas safety management platform, the smart gas equipment object platform is configured to manage a smart gas emergency gas supply device, wherein the smart gas emergency gas supply device is an emergency vehicle, and the emergency vehicle comprises a skid-mounted vehicle, a gas tank, an extendable pipeline set, a pressure regulating device, a gasification device, and a control module: The skid-mounted vehicle is configured to install the gas tank, the extendable pipeline set, the pressure regulating device, the gasification device, and the control module in a skid-mounted manner; The extendable pipeline set at least comprises an inlet pipeline set and an outlet pipeline set, wherein the inlet pipeline set is configured to be connected to a pipeline in a gas pipeline network or an emergency vehicle to be scheduled in a preset range, and the outlet pipeline set is configured to be connected to the pipeline in the gas pipeline network or the pressure regulating device; The pressure regulating device is configured to regulate gas pressure; The gasification device is configured to perform gasification treatment on gas in the gas tank; The control module is configured to receive a control command issued by the smart gas safety management platform, determine operation parameters of the pressure regulating device and the gasification device based on an emergency gas supply scheme of the smart gas emergency gas supply device, wherein the emergency gas supply scheme at least comprises a gas source selection scheme and a gas demand, and the gas source selection scheme at least comprises gas pipeline network cross connection and gas tank direct supply; The control module is further configured to predict the gas demand in a future time period based on user information of a user to be supplied with gas; Based on the gas demand in the future time period, the gas source selection scheme is determined, comprising: Based on the gas demand, a gas pipeline network cross connection cost and a gas tank direct supply cost are determined; Based on the gas pipeline network cross connection cost and the gas tank direct supply cost, the gas source selection scheme is determined, wherein the gas pipeline network cross connection cost is related to human demand, deployment duration, and cross connection length corresponding to gas pipeline network cross connection, the gas tank direct supply cost is related to emergency vehicle number and transportation distance corresponding to gas tank direct supply, and the gas tank direct supply cost is further related to demand degree of an emergency vehicle to be scheduled in the preset range, the demand degree being determined based on emergency vehicle information.

6. A smart gas emergency gas supply method, characterized in that, A smart gas emergency gas supply device is implemented, the smart gas emergency gas supply device is an emergency vehicle, the emergency vehicle comprises a skid-mounted vehicle, a gas tank, an extendable pipeline set, a pressure regulating device, a gasification device, and a control module, and the method is performed by the control module, comprising: An emergency gas supply scheme of the smart gas emergency gas supply device is determined; Based on the emergency gas supply scheme, operation parameters of the pressure regulating device and the gasification device are determined, wherein the emergency gas supply scheme at least comprises a gas source selection scheme and a gas demand, and the gas source selection scheme at least comprises gas pipeline network cross connection and gas tank direct supply; Based on user information of a user to be supplied with gas, a gas demand in a future time period is predicted; Based on the gas demand in the future time period, the gas source selection scheme is determined, comprising: determine a gas pipe network cross-connection cost and a gas tank direct supply cost based on the gas demand; determine the gas source selection scheme based on the gas pipe network cross-connection cost and the gas tank direct supply cost, wherein the gas pipe network cross-connection cost is related to a human demand, a deployment time length and a cross-connection length corresponding to the gas pipe network cross-connection, the gas tank direct supply cost is related to an emergency vehicle number and a transportation distance corresponding to the gas tank direct supply, and the gas tank direct supply cost is further related to a demand degree of an emergency vehicle to be dispatched within a preset range, the demand degree being determined based on emergency vehicle information.

7. A computer readable storage medium characterized in that, The storage medium stores computer instructions, and when a computer reads the computer instructions in the storage medium, the computer executes the method in claim 6.

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