Intelligent distributed multi-energy coupling micro-pipe network gas supply system, pipe network and gas supply device

Abstract

The application discloses an intelligent distributed multi-energy coupling micro-pipe network gas supply system, a pipe network and a gas supply device, and relates to the technical field of intelligent distributed liquefied petroleum gas supply. In order to solve the problem that the existing gas supply system is difficult to realize multi-energy coupling and long-period independent operation, the system comprises a small liquefied petroleum gas storage tank installed on a base, a safety valve, a gas phase electric control emergency shut-off valve and an anti-backflow high-pressure pressure regulator are arranged on the top of the storage tank, a high-pressure pressure sensor, a liquid level meter and a self-closing liquid supply valve are arranged in the middle of the storage tank, and a low-pressure pressure sensor and an anti-backflow low-pressure pressure regulator are arranged at the bottom of the storage tank. An intelligent controller is electrically connected with the sensors and the pressure regulating components, real-time acquisition of pressure, liquid level and leakage signals is realized, and gas supply control is performed. A photovoltaic power generation device and a gas power generation device provide stable power supply for the system. The system can realize intelligent cooperation of liquefied petroleum gas storage, gas supply and energy management, and is suitable for clean, safe and independent energy supply scenes of public institutions.

Description

Technical Field

[0001] This relates to the technical field of intelligent distributed liquefied petroleum gas supply, specifically to intelligent distributed multi-energy coupled micro-pipeline gas supply systems and controls. Background Technology

[0002] In recent years, with the advancement of "dual-carbon" energy conservation and the rapid development of distributed energy technologies, clean energy and intelligent control technologies have been widely applied in urban and rural energy supply systems. Especially in rural areas, remote regions, and industrial parks where power grid supply is unstable and energy security is insufficient, distributed energy supply systems have become an important way to achieve energy self-sufficiency and multi-energy complementarity. Currently, various distributed energy system solutions exist on the market, such as energy supply systems primarily based on photovoltaic power generation, wind power generation, energy storage batteries, and liquefied petroleum gas (LPG).

[0003] In existing technologies, research on distributed energy primarily focuses on the management and dispatch of electricity. For example, some solutions employ integrated photovoltaic and energy storage control systems, using solar power generation in conjunction with energy storage batteries to achieve distributed power supply; others propose utilizing wind-solar hybridization to provide complementary power supply under different climatic conditions. However, these systems are often limited by the small capacity and low energy density of energy storage batteries, as well as unstable power output, making it difficult to meet the continuous energy demands of high-energy-consuming scenarios. Furthermore, energy storage systems have high construction and maintenance costs, poor adaptability to extreme weather, and their power supply capacity is easily affected in emergencies such as disasters or power outages.

[0004] In the field of gas-fired energy supply, rural areas and small industrial and commercial sites currently mostly use bottled liquefied petroleum gas (LPG), diesel generators, or small storage tank gas supply systems. Among these, bottled LPG requires frequent replacement, involves a lot of manual operation, and poses risks of leakage and deflagration; while diesel generators can provide some power, they suffer from high noise, severe pollution, and high operating costs; and although a single small storage tank gas supply system can alleviate the problem of frequent replacement to some extent, it lacks intelligent control and remote safety management capabilities, making it difficult to achieve long-term autonomous operation.

[0005] Furthermore, some technical documents propose a combined energy supply model of liquefied petroleum gas (LPG) and photovoltaic power generation to improve system independence through dual energy complementarity. However, these systems generally focus on simple switching at the "energy supply level" and fail to achieve integrated intelligent control in areas such as safe storage, pressure monitoring, combined gas-power scheduling, remote data analysis, and anomaly early warning. Especially in unattended or long-term operation environments, the lack of a comprehensive safety self-closing protection mechanism and multi-level monitoring system makes it difficult to avoid safety hazards caused by pipeline leaks, pressure anomalies, or energy storage failures.

[0006] In terms of intelligent management, most existing gas-fired energy supply systems only have basic pressure acquisition and remote monitoring functions. They cannot combine artificial intelligence algorithms for energy consumption prediction, automatic energy replenishment, and distributed peak-shaving management, nor have they established a complete multi-energy coupling system of gas, electricity, and control. Especially in places with extremely high requirements for energy continuity and security, such as natural disaster resettlement sites, hospitals, and schools, existing systems are unable to achieve independent operation with self-generation, self-supply, and self-management, and their reliability and safety are both insufficient.

[0007] In summary, existing technologies suffer from deficiencies such as insufficient safety protection of gas supply systems, a single energy regulation method, a lack of intelligent management and remote monitoring, weak self-generation and self-supply capabilities, and difficulty in achieving multi-energy coupling and long-term independent operation. Utility Model Content

[0008] To address the shortcomings of existing technologies, such as insufficient safety protection in gas supply systems, a single energy regulation method, a lack of intelligent management and remote monitoring, weak self-generation and self-sufficiency capabilities, and difficulty in achieving multi-energy coupling and long-term independent operation, the technical solution provided by this utility model is as follows: A smart distributed multi-energy coupled micro-pipeline gas supply system includes: The small liquefied petroleum gas storage tank is installed on the base. The top of the storage tank is equipped with a safety valve, a gas phase electronically controlled emergency shut-off valve and a backflow prevention high pressure regulator. The middle of the storage tank is equipped with a high pressure sensor, a level gauge and a self-closing liquid supply valve. The bottom of the storage tank is equipped with a low pressure sensor, a mechanical low pressure gauge and a backflow prevention low pressure regulator. The self-closing filling valve, self-closing gas supply valve, and self-closing gas phase balance valve are connected to the gas phase supply pipeline to realize the filling, gas supply and gas phase balance of liquefied petroleum gas. High-pressure sensor, low-pressure sensor, level gauge and combustible gas leak detector are connected to the intelligent controller to collect tank operating parameters and upload monitoring data. The intelligent controller is installed inside the control box, which is equipped with an IoT lock to restrict unauthorized personnel from opening it. The intelligent controller is electrically connected to the gas phase electronically controlled emergency shut-off valve, the anti-backflow high-pressure regulator, and the anti-backflow low-pressure regulator, respectively, and is used to automatically execute gas supply control based on the detection data. Photovoltaic power generation devices and gas-fired power generation devices provide power to the system.

[0009] According to the aforementioned intelligent distributed multi-energy coupled micropipeline gas supply system, it further includes: A smart controller is used to start gas-fired power generation units to maintain system operation when photovoltaic power is insufficient.

[0010] According to the aforementioned intelligent distributed multi-energy coupled micropipeline gas supply system, it further includes: Video surveillance is installed around the storage tank and communicates with the intelligent controller to monitor the site conditions in real time and upload video information to the remote monitoring platform.

[0011] According to the aforementioned intelligent distributed multi-energy coupled micro-pipeline gas supply system, the small liquefied petroleum gas storage tank has a double-layer protective structure. The outer layer is equipped with an anti-corrosion and heat insulation layer, and the inner layer is used to store room temperature liquid liquefied petroleum gas. The top of the storage tank is equipped with a self-closing filling valve with limited filling protection. When the liquid volume reaches 80% of the storage tank volume, it automatically closes to prevent overfilling.

[0012] According to the aforementioned intelligent distributed multi-energy coupled micro-pipeline gas supply system, a gas phase electrically controlled emergency shut-off valve, an anti-backflow high-pressure regulator, and an anti-backflow low-pressure regulator are sequentially installed on the gas phase gas supply pipeline. The anti-backflow high-pressure regulator is used to adjust the output pressure to below 0.2 MPa, and the anti-backflow low-pressure regulator is used to further stabilize the output pressure to below 8 kPa, and automatically closes to prevent backflow when pressure backflow is detected.

[0013] According to the aforementioned intelligent distributed multi-energy coupled micro-pipeline gas supply system, the high-pressure sensor, low-pressure sensor, level gauge, and combustible gas leak detector are all connected to the intelligent controller. The intelligent controller is equipped with a data acquisition module and a threshold determination module to realize real-time acquisition, analysis, and early warning of pressure, level, and leak signals.

[0014] According to the aforementioned intelligent distributed multi-energy coupled micro-pipeline gas supply system, the control box is located on one side of a small liquefied petroleum gas storage tank. The IoT lock is connected to the intelligent controller and remote monitoring platform. The IoT lock has a dual authentication function of one-time dynamic password and Beidou positioning, and allows the control box to be opened only within the authorized range.

[0015] According to the aforementioned intelligent distributed multi-energy coupled micro-pipeline gas supply system, photovoltaic power generation devices and gas-fired power generation devices are connected in parallel via a DC bus to form a multi-energy power supply module. The intelligent controller is used to automatically start the gas-fired power generation device when the photovoltaic power generation is insufficient or the energy storage capacity is lower than the set value.

[0016] Based on the same inventive concept, this utility model also provides a gas supply network, including the aforementioned gas supply system.

[0017] Based on the same inventive concept, this utility model also provides a liquefied petroleum gas supply device, including the aforementioned supply system.

[0018] Compared with the prior art, the advantages of the technical solution provided by this utility model are as follows: This invention achieves inherently safe control of gas storage and supply by incorporating a mechanical protection structure with limited filling capacity, a self-closing gas supply valve, and a liquid supply valve in a small liquefied petroleum gas storage tank. Compared to existing single-layer pressure regulating or manually monitored gas supply systems, this structure automatically shuts off when the tank level exceeds a set value or the flow rate abnormally increases, forming a physical self-closing protection to prevent safety accidents caused by overfilling or sudden leaks. The passive self-closing characteristic of the mechanical protection allows the system to maintain a safe state even without power, significantly improving safety and reliability in unattended or extreme environments.

[0019] This invention introduces an intelligent controller to collect and analyze multi-dimensional data from high-pressure and low-pressure sensors, level gauges, temperature sensors, and gas leak detectors in real time, enabling local AI-based judgment and tiered safety linkage control. Unlike traditional monitoring modes that rely on single pressure valves or manual inspections, this system can automatically execute gas-phase electronic emergency shut-off and report to a remote platform when abnormal outlet pressure, low liquid level, or leak signals are detected. This allows for emergency response within seconds, significantly improving accident prevention and response efficiency and reducing delays and risks associated with human operation.

[0020] This invention integrates a photovoltaic power generation device, an energy storage unit, and a gas-fired power generation device into a multi-source collaborative self-sufficient energy system, enabling the system to operate stably for a long period without relying on an external power grid. This multi-energy complementary mode supplies energy and stores electricity through photovoltaics when there is sunlight, and automatically switches between the energy storage unit and the gas-fired power generation during periods of no sunlight or cloudy / rainy weather. Compared to traditional single-power supply modes, this method effectively avoids monitoring failures caused by external power grid interruptions, achieving an independent energy cycle of self-generation, self-supply, and self-sustaining, and enhancing the system's adaptability in disaster-prone or remote areas.

[0021] This invention introduces a historical gas consumption self-learning mechanism into the intelligent control algorithm. Based on previous data, it predicts future gas reserve trends and automatically reports refueling needs, forming a dynamic energy dispatching mechanism. This method differs from existing timed gas replenishment or manual calculation methods, automatically determining refueling priorities based on actual usage patterns to prevent gas outages caused by excessively low reserves. Through data-driven predictive control, the system achieves self-optimizing management of energy reserves, significantly improving energy supply continuity and operational economy.

[0022] The utility model provides a coupling control method of combined gas-electricity supply and distributed power grid, which automatically detects the supply voltage and power status of the distributed power grid through an intelligent control device, and automatically starts gas power generation to supplement electric power when the grid power is insufficient or the voltage is lower than a threshold value. Different from the existing passive peak shaving method of power grids, this method realizes rapid linkage compensation between gas and electricity, keeps power output stable, and is particularly suitable for energy supply guarantee under rural power grid power fluctuations and high energy consumption working conditions. This method not only improves power supply quality, but also balances the proportion of clean energy and system economy.

[0023] The utility model realizes a high-low voltage double protection structure by arranging multi-stage safety detection and backflow prevention pressure regulating devices. When abnormal pressure backflow occurs in an external pipeline or a pressure regulator is damaged, the system can sequentially activate protection through the mechanical backflow prevention mechanism of the backflow preventing high-pressure regulator and the low-pressure regulator, so as to ensure that the user end pressure is kept constant within a safe range. Compared with the existing single-stage pressure regulating structure, this dual redundant design effectively prevents equipment damage or gas backflow caused by external pipeline impact, and greatly improves the intrinsic safety level of the overall system.

[0024] The utility model adopts a local data caching and communication encryption mechanism at the energy control and data transmission levels, so that the system can still maintain information integrity and closed-loop control in network interruption or weak signal coverage areas. Traditional remote monitoring systems cannot upload or execute instructions when the network is disconnected, while the system of the utility model can automatically resend offline information after network recovery, which ensures continuous and traceable data recording and improves the stability and reliability of remote monitoring.

[0025] The utility model realizes personnel authority control for filling and maintenance operations through the Beidou positioning and electronic fence functions of the intelligent control device, the handheld intelligent terminal and the Internet of Things lock. The system can automatically generate a one-time valid dynamic password according to positioning information to ensure that operation behaviors are carried out within the authorization range, and will automatically record videos and report to the platform if unauthorized entry or operation is detected. This design fills the gap in the safety traceability link of existing gas filling operations, and realizes the whole-process closed-loop management of energy equipment from equipment safety to operation safety.

[0026] Compared with traditional distributed energy supply devices, the multi-energy coupling and artificial intelligence safety control system of the utility model not only achieves significant improvement in energy supply continuity, energy storage safety and intelligent operation level, but also balances the utilization rate of clean energy and operating cost control. The system can be widely applied in scenarios such as high energy consumption industries, distributed power grid peak shaving, emergency energy supply for natural disasters and independent energy operation in remote areas, and has popularizable application value and good social and economic benefits.

[0027] The utility model is applicable to distributed energy management and intelligent gas supply work that requires clean, safe and independent energy supply in rural areas, high energy consumption industries, natural disaster resettlement sites, hospitals, schools and other places. Attached Figure Description

[0028] Figure 1 This is a schematic diagram of the main structure of the intelligent distributed multi-energy coupled micro-pipeline gas supply system of this utility model; Figure 2 This is a side view of the intelligent distributed multi-energy coupled micro-pipeline gas supply system of this utility model. Figure 3 This is a schematic diagram of the external component connections of the intelligent distributed multi-energy coupled micro-pipeline gas supply system of this utility model; Figure 4 This is a top view schematic diagram of the intelligent distributed multi-energy coupled micro-pipeline gas supply system of this utility model; Figure 5 This is a schematic diagram of the electrical control logic and multi-energy coupling control principle of the intelligent distributed multi-energy coupling micro-pipeline gas supply system of this utility model.

[0029] Among them, 1-Liquefied petroleum gas small storage tank; 2-Safety valve; 3-Self-closing safety valve base; 4-Ball valve; 5-Self-closing filling valve; 6-Self-closing gas supply valve; 7-Gas phase electrically controlled emergency shut-off valve; 8-Anti-backflow high-pressure regulator; 9-Self-closing liquid supply valve; 10-Electronic reading device; 11-Mechanical high-pressure gauge; 12-Self-closing gas phase balance valve; 13-Self-closing ball valve; 14-High-pressure sensor; 15-Level gauge; 16-Low-pressure sensor; 17-Mechanical low-pressure gauge; 18-Combustible gas leak detector; 19-Anti-backflow low-pressure regulator; 20-Operating box; 21-IoT lock; 22-Gas phase gas supply pipeline; 23-Base; 24-Intelligent controller; 25-Video surveillance; 26-Photovoltaic power generation device; 27-Gas-fired power generation device; 28-Remote monitoring platform. Detailed Implementation

[0030] To make the advantages and benefits of the technical solution provided by this utility model clearer, the technical solution provided by this utility model will now be described in further detail with reference to the accompanying drawings. Specifically: Implementation Method 1: This implementation method provides a control method for an intelligent distributed multi-energy coupled micro-pipeline gas supply system, including the following steps: A smart distributed multi-energy coupled micro-pipeline gas supply system includes: A small liquefied petroleum gas storage tank 1 is installed on a base 23. The top of the storage tank is equipped with a safety valve 2, a gas phase electrically controlled emergency shut-off valve 7, and an anti-backflow high pressure regulator 8. The middle of the storage tank is equipped with a high pressure sensor 14, a liquid level gauge 15, and a self-closing liquid supply valve 9. The bottom of the storage tank is equipped with a low pressure sensor 16, a mechanical low pressure gauge 17, and an anti-backflow low pressure regulator 19. The self-closing filling valve 5, the self-closing gas supply valve 6, and the self-closing gas phase balance valve 12 are connected to the gas phase supply pipeline 22 to realize the filling, gas supply and gas phase balance of liquefied petroleum gas. The high-pressure sensor 14, the low-pressure sensor 16, the level gauge 15, and the combustible gas leak detector 18 are connected to the intelligent controller 24 for collecting tank operating parameters and uploading monitoring data. The intelligent controller 24 is installed inside the control box 20, which is equipped with an IoT lock 21 to restrict unauthorized personnel from opening it. The intelligent controller 24 is electrically connected to the gas phase electric emergency shut-off valve 7, the anti-backflow high pressure regulator 8, and the anti-backflow low pressure regulator 19, respectively, and is used to automatically execute gas supply control based on the detection data. Photovoltaic power generation device 26 and gas-fired power generation device 27 provide power to the system.

[0031] Also includes: The intelligent controller 24 is used to start the gas-fired power generation unit 27 to maintain system operation when photovoltaic power is insufficient.

[0032] Also includes: Video surveillance 25 is installed around the storage tank and communicates with the intelligent controller 24 to monitor the site conditions in real time and upload video information to the remote monitoring platform 28.

[0033] The small liquefied petroleum gas storage tank 1 has a double-layer protective structure. The outer layer is equipped with an anti-corrosion and heat insulation layer, and the inner layer is used to store room temperature liquid liquefied petroleum gas. The top of the storage tank is equipped with a self-closing filling valve 5 with limited filling protection. When the liquid volume reaches 80% of the storage tank volume, it will automatically close to prevent overfilling.

[0034] The gas phase electrically controlled emergency shut-off valve 7, the anti-backflow high pressure regulator 8, and the anti-backflow low pressure regulator 19 are sequentially installed on the gas phase gas supply pipeline 22. The anti-backflow high pressure regulator 8 is used to adjust the output pressure to below 0.2 MPa, and the anti-backflow low pressure regulator 19 is used to further stabilize the output pressure to below 8 kPa, and automatically closes to prevent backflow when pressure backflow is detected.

[0035] The high-pressure sensor 14, the low-pressure sensor 16, the level gauge 15, and the combustible gas leak detector 18 are all connected to the intelligent controller 24. The intelligent controller 24 is equipped with a data acquisition module and a threshold determination module to realize the real-time acquisition, analysis, and early warning of pressure, level, and leak signals.

[0036] The control box 20 is located on one side of the small liquefied petroleum gas storage tank 1. The IoT lock 21 is connected to the intelligent controller 24 and the remote monitoring platform 28. The IoT lock 21 has a dual authentication function of one-time dynamic password and Beidou positioning, and allows the control box 20 to be opened only within the authorized scope.

[0037] The photovoltaic power generation device 26 and the gas power generation device 27 are connected in parallel via a DC bus to form a multi-energy power supply module. The intelligent controller 24 is used to automatically start the gas power generation device 27 when the photovoltaic power generation is insufficient or the energy storage capacity is lower than the set value.

[0038] A gas supply network is also provided, including the aforementioned gas supply system.

[0039] A liquefied petroleum gas supply device is also provided, including the aforementioned supply system.

[0040] Implementation Method Two: This implementation method provides a further detailed description of the technical solution provided in Implementation Method One. Specifically: A smart distributed multi-energy coupled micro-pipeline gas supply system is installed entirely outdoors and includes a small liquefied petroleum gas (LPG) storage tank, a safe gas supply component, a safety detection component, an intelligent control component, and a multi-energy self-powering component. The system can achieve safe storage, stable gas supply, and multi-energy coordinated power supply of LPG in environments without external power, and enables intelligent management throughout its entire lifecycle through a remote monitoring platform.

[0041] The main body of the system consists of a small LPG storage tank 1 for storing LPG. The tank adopts a double-layer protective structure, with an outer anti-corrosion and heat insulation layer, and an inner layer for storing ambient temperature liquid LPG. A self-closing filling valve 5 with limited filling protection is installed on the tank, which automatically closes when the liquid level reaches a preset 80% level to prevent overfilling. A gas phase supply pipeline 22 is connected to the top of the tank, on which a gas phase electrically controlled emergency shut-off valve 7, a backflow-preventing high-pressure regulator 8, a backflow-preventing low-pressure regulator 19, and a self-closing gas supply valve 6 are installed sequentially. The gas phase electrically controlled emergency shut-off valve 7 automatically shuts off the gas supply when abnormal pressure, leakage, or external control commands are detected; the backflow-preventing high-pressure regulator 8 and the backflow-preventing low-pressure regulator 19 respectively achieve two-stage pressure stabilization and backflow prevention protection, ensuring that the output gas pressure remains constant within a safe range.

[0042] The bottom of the storage tank is equipped with a self-closing liquid supply valve 9 and a self-closing gas phase balance valve 12. The liquid supply valve is used for the addition and recovery of liquid phase gas. It automatically closes when the liquid supply flow exceeds the set upper limit to prevent sudden external leakage. The gas phase balance valve is used for gas phase balance regulation between the two tanks to prevent unstable gas supply caused by uneven gas pressure. The storage tank is equipped with a safety valve 2 and a mechanical high-pressure gauge 11. The safety valve automatically releases pressure when the internal pressure rises abnormally to prevent overpressure in the storage tank. The high-pressure gauge is used to display the gas pressure inside the storage tank and serves as a monitoring benchmark for manual maintenance.

[0043] The small liquefied petroleum gas storage tank 1 is fixedly mounted on a base 23. The base 23 adopts an anti-slip and shock-resistant structure and integrates a grounding protection device to ensure the stability and safety of the equipment under environments such as earthquakes and impacts. An operation box 20 is installed on the outside of the storage tank, which integrates an intelligent controller 24, a power conversion module, a communication module, and signal distribution terminals. An IoT lock 21 is installed at the front of the operation box, which restricts unauthorized personnel from opening it through a dynamic password authentication mechanism to ensure system maintenance security.

[0044] The intelligent controller 24 is the core control unit of this system. It has a built-in microprocessor, storage unit, and multi-channel data acquisition module, enabling data acquisition, analysis, and control of various system sensors. The intelligent controller is wired to the high-pressure sensor 14, low-pressure sensor 16, level gauge 15, combustible gas leak detector 18, and temperature sensor to monitor the internal and external operating parameters of the storage tank in real time. The high-pressure sensor 14 monitors the gas phase pressure of the storage tank, and the low-pressure sensor 16 monitors the outlet pressure. When the detected value exceeds or falls below a preset threshold, the intelligent controller sends a control signal to activate the gas phase electronically controlled emergency shut-off valve 7, promptly interrupting the gas supply path. The level gauge 15 measures the storage level of liquefied petroleum gas and provides a basis for filling management; the combustible gas leak detector 18 is installed at the connection between the storage tank and pipelines to detect the concentration of leaked gas and upload alarm signals.

[0045] To achieve intelligent safety monitoring, the intelligent controller 24 is connected to the video monitoring device 25, which is installed around the storage tank and control box to collect real-time images of the equipment operation. When an alarm is triggered or the system is illegally opened, the video is automatically recorded and uploaded. The electronic reading device 10 is located outside the control box and is used to read equipment serial numbers, maintenance records, and refueling information, enabling full-cycle information traceability.

[0046] The system's power supply includes a photovoltaic power generation unit 26, a gas-fired power generation unit 27, and an energy storage battery module. The photovoltaic power generation unit 26 is installed near the storage tank or on the roof and is connected to the intelligent controller via an inverter, providing operating power to the system and charging the energy storage battery. When sunlight is insufficient or the stored energy is depleted, the intelligent controller automatically activates the gas-fired power generation unit 27, using liquefied petroleum gas from the storage tank as fuel to generate electricity, supplementing the system's power requirements. The gas-fired power generation unit and the photovoltaic power generation unit form a multi-energy complementary coupling structure, ensuring long-term continuous operation of the system in environments without an external power grid.

[0047] To achieve remote monitoring and operation and maintenance management, the intelligent controller 24 wirelessly connects with the intelligent handheld terminal and the remote monitoring platform 28. The intelligent handheld terminal is equipped with a Beidou / GPS positioning and communication module. When it is within 100 meters of the intelligent controller, it can automatically receive a one-time dynamic password to unlock the IoT lock 21 and perform refueling or maintenance operations. When it is outside the range, the system automatically rejects the command and records a video alarm. The remote monitoring platform 28 receives various operational data reported by the intelligent controller through a communication protocol, including pressure, liquid level, temperature, leakage, and equipment status information. It can also issue operation commands to achieve centralized operation and maintenance and visualized management of the distributed energy system.

[0048] During system operation, the intelligent controller periodically collects signals from various sensors for local calculations and uploads them to the cloud. When the outlet pressure is detected to be higher than 8 kPa, the mechanical anti-reverse mechanism of the low-pressure regulator is activated to prevent backflow. When the outlet pressure is detected to be lower than 500 Pa or the liquid level is too low, the system automatically closes the gas-phase electrically controlled emergency shut-off valve to prevent external leakage. The controller calculates gas consumption trends through algorithms, automatically reporting a refueling demand when the liquid level is below 40% and a priority refueling demand when it is below 30%, ensuring continuous energy supply.

[0049] To cope with sudden power outages or network interruptions, the intelligent controller has data caching and breakpoint resume functions. Information that has not been uploaded is temporarily stored in the local storage unit and automatically re-uploaded after communication is restored, ensuring data integrity and traceability. At the same time, all system communications use encrypted transmission protocols to prevent data leakage.

[0050] The entire system achieves integrated operation of liquefied petroleum gas supply, power supply, safety monitoring, and data management through digital safety control, mechanical self-closing protection, artificial intelligence algorithms, and the synergy of a multi-energy self-sufficiency system. This structure not only ensures the energy security of energy-intensive industries and public institutions in the event of power outages or disasters, but also significantly improves the intelligence, reliability, and low-carbon level of distributed clean energy systems.

[0051] The electrical control system, centered on an intelligent controller, integrates liquefied petroleum gas (LPG) storage, supply, and safety management through multi-source data acquisition, tiered safety control, multi-energy collaborative power supply, and remote communication. Upon power-up, the intelligent controller first connects to the photovoltaic inverter output and the energy storage DC bus. It then performs self-checks on its internal power modules, acquisition channels, execution ports, communication modules, and clock system. After confirming that sensors, high-pressure and low-pressure channels, video surveillance, and IoT locks are all online, it establishes a device list and initialization parameters, including sensor range, zero point, alarm threshold, and sampling period. After initialization, the intelligent controller sets different sampling rhythms based on the parameter set. It performs rapid sampling for safety channels such as combustible gas, high-pressure, and low-pressure, and slow sampling for non-safety channels such as liquid level and temperature, thus balancing energy consumption and response speed. When entering safety response mode, the system automatically switches safety channels to real-time sampling and uses a timestamp synchronization mechanism to ensure data consistency across channels within the same sampling window.

[0052] The collected multi-channel raw data undergoes preprocessing and validity verification. The intelligent controller eliminates noise using moving averages and extreme value removal methods. If a sample deviates significantly from the historical average, it is marked as abnormal data. Simultaneously, the system performs multi-source consistency verification. For example, a low pressure below 500 kPa accompanied by an increase in combustible gas concentration and a sudden drop in liquid level is considered a suspected leak; a high pressure exceeding 1.6 MPa accompanied by a temperature increase is considered a suspected overpressure. The verified data forms a feature parameter set, providing a basis for subsequent status identification. The intelligent controller performs status identification and operating condition determination based on the feature parameter set. When the detected data is within the normal range, it enters the operation monitoring mode; when any safety parameter exceeds the limit or the monitoring video detects illegal opening, it switches to the safety response mode. In different modes, the system dynamically adjusts the threshold table and valve action strategy.

[0053] When entering operation monitoring mode, the controller keeps the gas-phase electrically controlled emergency shut-off valve closed, opening it only when the outlet pressure exceeds 500 Pa. This allows the gasified gas from the storage tank to be reduced to below 0.2 MPa by the anti-backflow high-pressure regulator, and then stabilized to below 8 kPa by the anti-backflow low-pressure regulator before being supplied to users. When the outlet pressure is below 500 Pa, the controller immediately closes the gas-phase electrically controlled emergency shut-off valve and issues an alarm. If the outlet pressure exceeds 8 kPa, the mechanical anti-backflow mechanism of the low-pressure regulator activates to prevent backflow. If the low-pressure regulator fails and the pressure exceeds 0.2 MPa, the anti-backflow mechanism of the high-pressure regulator activates to provide secondary protection. Through this dual anti-backflow design, the gas supply path remains safe and controllable under various abnormal conditions.

[0054] The intelligent controller further manages the system's power supply status, achieving multi-energy coordination according to the principle of photovoltaic priority, energy storage follow-up, and gas-fired power generation supplementation. When there is sunlight, the photovoltaic power generation device directly supplies power and charges the energy storage unit; when sunlight is insufficient or the energy storage capacity is below a set threshold, the system assesses the gas supply path and safety status. If it is in a safe operating condition, it automatically starts the gas-fired power generation device, using liquefied petroleum gas as fuel to provide electricity, achieving bidirectional coupling between gas and electricity. During power switching, the principle of parallel connection first and then disconnection is followed to ensure a smooth load transition without power interruption.

[0055] To ensure energy continuity, the controller calculates available reserves for the next seven days and generates a forecast curve based on liquid level change curves, average daily gas consumption, and electricity usage patterns. When the forecast indicates reserves are insufficient for seven days, the system automatically generates a refueling prompt; when the liquid level is below 40%, a refueling request is generated; and when the liquid level is below 30%, a priority refueling request is reported, and relevant information is uploaded to the remote monitoring platform. All monitoring data, alarm status, and work order information are uploaded to the remote platform via an encrypted communication channel. In the event of a network interruption, the controller's local cache module temporarily stores the data and resends it in chronological order after the network is restored. Policy instructions issued by the platform are parsed by the intelligent controller and translated into specific actions, such as adjusting valve opening, modifying the sampling period, starting gas-fired power generation, or changing alarm thresholds. Execution results and fault information are recorded in logs and transmitted back to the platform, forming a closed loop.

[0056] To handle unexpected anomalies, the system has a tiered response mechanism. When continuous leakage, pressure exceeding limits, or communication interruption is detected, the controller first shuts off the gas-phase electrically controlled emergency shut-off valve, maintains power supply to the video and alarm circuits, compares data from adjacent sensors to determine the source of the fault, and performs a safe shutdown if necessary. Maintenance or refueling operations require confirmation via BeiDou positioning and an electronic fence. Only when the handheld terminal's location is within 100 meters of the intelligent controller's location can the system generate a one-time dynamic password to unlock the IoT lock, allowing the control box to be opened. If unauthorized operations or unauthorized personnel approach, the system automatically records video and uploads an alarm.

[0057] To ensure data security, all communications are encrypted. When the network is unavailable, the controller writes monitoring data, alarms, and video summaries to local non-volatile memory. Once the network is restored, the data is retransmitted in batches and the receipts are verified to ensure information integrity and traceability. During long-term system operation, the intelligent controller periodically analyzes alarm frequency, false alarm ratio, and gas consumption prediction errors. Based on historical data, it gradually adjusts threshold settings and response parameters to reduce false alarms and improve energy efficiency.

[0058] Through the above electrical control process, this utility model realizes a complete control logic of perception, judgment, linkage, power supply, scheduling, communication, closed loop and optimization, so that liquefied petroleum gas supply, power supply and safety protection form an intelligent closed loop system that supports each other, and can achieve long-term, stable and safe independent operation under the conditions of no external power grid and no human intervention.

[0059] Implementation Method 3: Combination Figure 1-5 This embodiment describes the technical solution provided above in further detail through specific examples. Specifically: Currently, in high-energy-consuming industries, natural disaster resettlement sites, public institutions such as residential hospitals and schools, and distributed power grids for coupled peak-shaving energy use, bottled liquefied petroleum gas (LPG), diesel engines, coal, biomass, and energy storage batteries are the main energy sources available on the market. Bottled LPG requires frequent replacement and has poor safety; diesel engines are costly and environmentally unfriendly; energy storage batteries generally have low power output, making it difficult to power high-power equipment and hindering industrial production; coal is the most common fuel, but it has high carbon emissions and causes significant air pollution; biomass is seasonal and its source is unstable; industrial energy use requires low-carbon energy sources that are large in reserves, highly safe, economical, and can be stored for long-term backup. The inventor of this utility model argues that existing energy supply systems and methods cannot meet the energy needs of high-energy-consuming industries, natural disaster resettlement sites, public institutions such as residential hospitals and schools, and distributed power grids for coupled peak-shaving, resulting in deficiencies in energy management methods such as insufficient intelligence, low safety, and weak adaptability.

[0060] To meet the energy needs of high-energy-consuming industries, natural disaster relief sites, public institutions such as residential hospitals and schools, and distributed power grids for peak shaving, and to explore new pathways for the application of intelligent and safe clean energy, this invention proposes an intelligent distributed multi-energy coupled micro-pipeline gas supply system and control method. This system utilizes liquefied petroleum gas (LPG) as a distributed energy source, leveraging its high energy density, ability to be stored in a liquid state at room temperature, and stable calorific value. Through digital safety management and a local mechanical safety interlock control system, it achieves distributed gas supply management of clean energy, simultaneously improving safety control, energy-saving management, energy supply control, data transmission, remote monitoring, and traceability.

[0061] The purpose of this utility model is to provide an intelligent distributed multi-energy coupled micro-pipeline gas supply system and control method to solve the problem of clean energy function guarantee for high-energy-consuming industries, natural disaster resettlement sites, public institutions such as residential hospitals and schools, and distributed power grids for coupled peak-shaving energy use. It explores new quality productivity upgrades of clean energy supply technology, and changes the energy source to liquefied petroleum gas as a distributed energy source. It utilizes the characteristics of high energy density, room temperature liquid storage, and stable calorific value. Through digital safety management and local mechanical safety interlock control system, it realizes the distributed gas supply management of clean energy, and simultaneously improves the system scheme and control method of safety prevention and control, energy-saving management, energy supply control, data transmission, remote monitoring, traceability management, and local safety self-control protection. The entire system is installed outdoors, with relevant devices mounted on the base of the small storage tank and on the photovoltaic power generation unit. It is used for local intelligent control of the gas and electricity supply, data acquisition and monitoring, and safety management of the small storage tank. This method is only applicable to liquefied petroleum gas (LPG) as a reserve energy source, serving both as a gas supply and utilizing its gas for power generation, ultimately realizing a new energy-saving energy supply technology under intelligent distributed gas-electric coupling control. Existing LPG cylinder supplies, diesel engines, and biomass alcohol-based fuels are difficult to control and are not suitable for this method.

[0062] Control methods: 1. Safe Gas Supply Method: The core requirement of this method is to utilize the physical characteristics of liquefied petroleum gas (LPG) to achieve a distributed energy supply method based on inherent safety under intelligent, automated, and self-controlled management. A small storage tank serves as the LPG storage device, utilizing the LPG pressure within the tank to achieve gas supply and mechanical safety linkage. When the intelligent controller detects an outlet pressure greater than 500 Pa via a low-pressure sensor, it automatically opens the gas-phase electrically controlled emergency shut-off valve. The gas inside the tank vaporizes at room temperature, reaching a pressure above 0.6 MPa. This gas is then output through the gas phase inlet at the top of the tank under its own pressure. After passing through an anti-backflow high-pressure regulator, the pressure drops to below 0.2 MPa, and then through an anti-backflow low-pressure regulator, the pressure drops to below 8 kPa before being supplied to users. When the intelligent controller detects an outlet pressure less than 500 Pa via the low-pressure sensor, it automatically determines that there is an external pipeline leak and immediately closes the gas-phase electrically controlled emergency shut-off valve to protect user safety. When the outlet pressure exceeds 8 kPa, the mechanical over-reverse protection of the low-pressure regulator automatically activates to prevent backflow of external pressure, ensuring user safety. If the low-pressure regulator fails due to damage from external forces such as earthquakes, the mechanical over-reverse protection of the high-pressure regulator automatically activates when the pressure exceeds 0.2 MPa, preventing backflow of external pressure and providing double protection for user safety. Simultaneously, after detecting abnormal data through the low-pressure sensor, the intelligent controller automatically closes the gas-phase electrically controlled emergency shut-off valve and uploads the data to the remote monitoring platform in real time, enabling intelligent on-site emergency response, remote online management, and traceable data recording.

[0063] 2. Safe Storage Method: The core requirement of this method is to utilize the physical characteristic of liquefied petroleum gas (LPG) having a large storage capacity in its liquid state at room temperature. Safe storage is achieved through a primary mechanical self-closing protection system, a secondary local monitoring and linkage protection system, and a tertiary remote safety monitoring and management system. The mechanical self-closing protection is implemented through a filling valve with a filling limit device, a self-closing gas supply valve with flow limiting protection, and a self-closing liquid supply valve with flow limiting protection installed on small storage tanks. When the tank level reaches 80%, the filling valve automatically closes to prevent overfilling. When the gas supply flow rate exceeds three times the set value, the mechanical mechanisms of the gas supply valve and liquid supply valve self-close under the influence of the flow rate, preventing safety accidents caused by sudden external leaks. Local monitoring and linkage protection utilizes the intelligent controller's source code algorithms to perform artificial intelligence judgment and safety management. Based on the previous month's gas consumption, it automatically calculates gas usage and storage needs. When the liquid level drops below 40%, it automatically reports a refueling request to the remote platform; when the liquid level drops below 30%, it reports a priority refueling request; when the high-pressure sensor reading exceeds 1.6 MPa, it reports a safety anomaly to the remote platform; when the low-pressure sensor reading falls below 1000 Pa, it automatically closes the gas-phase electrically controlled emergency shut-off valve and reports a safety anomaly to the remote platform; when a gas leak or abnormal temperature is detected, it automatically closes the gas-phase electrically controlled emergency shut-off valve and reports a safety anomaly to the remote platform. Through these artificial intelligence algorithms and data analysis, it autonomously manages safe storage, ensuring both the prevention of safety accidents and a stable energy supply, preventing gas outages.

[0064] 3. A method for achieving self-operation with low-carbon and clean energy sources, independent of external energy sources. To avoid the system's safety being affected by external energy interruptions due to disasters or other reasons, photovoltaic, energy storage, and self-generation methods are adopted to achieve self-operation. This system manages power consumption and monitoring energy consumption separately, optimizing the energy efficiency of intelligent controllers, monitoring cameras, level gauges, high-pressure sensors, low-pressure sensors, combustible gas leak detectors, emergency shut-off valves, temperature sensors, etc. Through mechanisms such as staggered response, the operating power is controlled below 30 watts and the action power is controlled below 60 watts, ensuring the miniaturization of solar panels and energy storage power supplies. One day of sunshine can cover more than 7 days of monitoring energy consumption, and there is sufficient power reserve even in continuous cloudy or rainy weather. To achieve energy conservation, the intelligent controller employs two energy consumption modes: operational monitoring and safety response. In operational monitoring mode, non-safety monitoring sensors such as level gauges and thermometers collect data once per hour, while safety sensors such as combustible gas leak detectors, high-pressure sensors, and low-pressure sensors collect data once every 15 seconds. Monitoring cameras use motion monitoring without data storage to minimize energy consumption. In safety response mode, safety sensors such as combustible gas leak detectors, high-pressure sensors, and low-pressure sensors collect data in real time. Monitoring cameras use local storage and real-time upload modes, and emergency shut-off valves activate with a 3-second delay. This ensures both timely safety management and long-term sustainability of local energy storage.

[0065] 4. A method for distributed combined gas and electricity supply through intelligent management. Small storage tanks serve as both energy storage and supply devices. These tanks are selected based on user energy consumption standards, with a storage capacity exceeding 7 days and energy reserve security ensured by artificial intelligence algorithms. Intelligent controllers periodically capture fluctuation data from liquid level sensors and pressure sensors installed on the tanks, uploading this data to a remote monitoring platform. The platform intelligently calculates subsequent energy consumption forecasts and peak-hour energy supply plans. If energy reserves fall below 7 days' worth of energy consumption, the system platform issues a notification, and the tank's supply personnel promptly arrange delivery to replenish energy, ensuring normal production and daily life for users. Under conditions of sufficient gas supply, instructions are sent to the intelligent controller by distributed grid operators to supplement the distributed grid's power gap through gas-fired power generation. This is particularly beneficial for users experiencing frequent natural disasters or those requiring backup energy, such as hospitals and schools, providing economical and long-term locally stored clean energy security.

[0066] 5. Multi-energy Coupling Method: For a single user, distributed multi-energy coupling can be achieved with distributed photovoltaic (PV), distributed wind power, and biomass power generation. When there is insufficient power due to factors such as insufficient sunlight, no wind, or insufficient biomass supply, the user cannot produce electricity. Therefore, the distributed grid needs a stable and reliable supplementary energy source. This method adopts a scheme that couples the power grid, new energy sources, and gas-fired power generation, which can ensure stable power supply for high-energy-consuming areas with insufficient rural power grid power. The control process is as follows: the intelligent control device prioritizes the use of new energy power according to set parameters. When the power supply of the distributed grid is lower than the threshold, or the voltage is lower than 200V, the gas-fired power generation is started in real time to supplement the power. The user's energy cost and environmental emissions are better than the traditional diesel engine power supply method.

[0067] 6. Intelligent Safety Management Method: The intelligent control device automatically performs periodic self-checks based on set parameters, including gas flow meters, pressure sensors, temperature sensors, and liquid level fluctuation status. Self-check records are automatically saved. Through artificial intelligence algorithms and database comparisons, anomalies can be detected in advance, and alarm information and auxiliary decision-making solutions can be sent to handheld terminals in a timely manner, thus coupling artificial intelligence with on-site inspections. If abnormalities such as abnormal flow, high temperature, high pressure, or leakage are detected, the local automatic control will cut off the solenoid valve and gas supply, providing real-time protection for equipment and personnel safety. At the same time, alarm information will be issued so that the gas operating unit can effectively manage and protect the safety of operators, and can also effectively avoid safety problems caused by human error.

[0068] The handheld terminal device includes a BeiDou / GPS positioning module, a core control module, and a communication module, and shares data information with the intelligent controller through a communication protocol. The intelligent controller has data caching capabilities and is an independent device with local artificial intelligence computing. It also manages all sensors and solenoid valves in the equipment monitoring system, enabling wireless communication and data transmission with the remote monitoring platform and handheld terminal devices. It features data processing, data storage, GPS / BeiDou positioning, 4G wireless data transmission, and data interconnection with management and operation platforms. It also has an emergency stop function; pressing its built-in emergency stop switch activates local emergency shutdown and other safety control devices, along with audible and visual alarms. After troubleshooting, operators can manually reset it locally. The control method includes the following steps: Step 1: Execute the local AI safety monitoring function. Power the monitoring camera, level gauge, high pressure sensor, low pressure sensor, combustible gas leak detector, emergency shut-off valve, temperature sensor, etc. through the intelligent controller. At the same time, collect all sensor data of the monitoring system, store and calculate it locally, and upload the valid data to the remote monitoring platform according to the built-in source program. Record the operation data through pressure sensors, level gauges, flow meters, etc. to ensure safe operation. Step Two: A small storage tank is used as the liquefied petroleum gas (LPG) storage device. The LPG pressure within the tank enables gas supply and mechanical safety linkage. When the intelligent controller detects an outlet pressure greater than 500 Pa via a low-pressure sensor, it automatically opens the gas-phase electrically controlled emergency shut-off valve. The gas inside the tank vaporizes at room temperature, reaching a pressure above 0.6 MPa. This gas is then output through the gas phase inlet at the top of the tank under its own pressure. After passing through an anti-backflow high-pressure regulator, the pressure drops to below 0.2 MPa, and then through an anti-backflow low-pressure regulator, the pressure drops to below 8 kPa before being supplied to the user. When the intelligent controller detects an outlet pressure less than 500 Pa via the low-pressure sensor, it automatically determines that there is an external pipeline leak and immediately closes the gas-phase electrically controlled emergency shut-off valve to protect user safety. When the outlet pressure exceeds 8 kPa, the mechanical anti-backflow mechanism of the low-pressure regulator automatically activates to prevent external pressure backflow and ensure user safety. If the low-pressure regulator fails due to damage from external forces such as earthquakes, the mechanical over-reverse protection of the high-pressure regulator will automatically activate when the pressure exceeds 0.2 MPa to prevent backflow of external pressure, providing double protection for user safety. Simultaneously, after the intelligent controller detects abnormal data through the low-pressure sensor, it automatically closes the gas-phase electrically controlled emergency shut-off valve and uploads the data to the remote monitoring platform in real time, enabling intelligent on-site emergency response, remote online management, and traceable data recording. Step 3, the core requirement of this method, lies in utilizing the physical characteristic of liquefied petroleum gas (LPG) having a large storage capacity in its liquid state at room temperature. Safe storage is achieved through a primary mechanical self-closing protection system, a secondary local monitoring and linkage protection system, and a tertiary remote safety monitoring and management system. The mechanical self-closing protection is implemented through a filling valve with a filling limit device, a self-closing gas supply valve with flow limiting protection, and a self-closing liquid supply valve with flow limiting protection, all installed on small storage tanks. When the tank level reaches 80%, the filling valve automatically closes to prevent overfilling. When the gas supply flow rate exceeds three times the set value, the mechanical mechanisms of the gas supply valve and liquid supply valve self-close under the influence of the flow rate, preventing safety accidents caused by sudden external leaks. Local monitoring and linkage protection utilizes the intelligent controller's source code algorithms to perform artificial intelligence judgment and safety management. Based on the previous month's gas consumption, it automatically calculates gas usage and storage needs. When the liquid level drops below 40%, it automatically reports a refueling request to the remote platform; when the liquid level drops below 30%, it reports a priority refueling request; when the high-pressure sensor reading exceeds 1.6 MPa, it reports a safety anomaly to the remote platform; when the low-pressure sensor reading falls below 1000 Pa, it automatically closes the gas-phase electrically controlled emergency shut-off valve and reports a safety anomaly to the remote platform; when a gas leak or abnormal temperature is detected, it automatically closes the gas-phase electrically controlled emergency shut-off valve and reports a safety anomaly to the remote platform. Through these artificial intelligence algorithms and data analysis, it autonomously manages safe storage, ensuring both the prevention of safety accidents and a stable energy supply, preventing gas outages. Step 4: To prevent external energy interruptions due to disasters or other reasons from affecting the safety of this system, photovoltaic, energy storage, and self-generated power are adopted to achieve self-operation. This system manages power consumption and monitoring energy consumption separately. Energy-saving optimizations are implemented for intelligent controllers, monitoring cameras, level gauges, high-pressure sensors, low-pressure sensors, combustible gas leak detectors, emergency shut-off valves, temperature sensors, etc. Through mechanisms such as staggered response, the operating power is controlled below 30 watts, and the action power is controlled below 60 watts. This ensures the miniaturization of solar panels and energy storage power supplies, and one day of sunshine can cover more than seven days of monitoring energy consumption. Even during continuous cloudy or rainy weather, there is sufficient power reserve. To achieve energy conservation, the intelligent controller employs two energy consumption modes: operational monitoring and safety response. In operational monitoring mode, non-safety monitoring sensors such as level gauges and thermometers collect data once per hour, while safety sensors such as combustible gas leak detectors, high-pressure sensors, and low-pressure sensors collect data once every 15 seconds. Monitoring cameras use motion monitoring without data storage to minimize energy consumption. In safety response mode, safety sensors such as combustible gas leak detectors, high-pressure sensors, and low-pressure sensors collect data in real time. Monitoring cameras use local storage and real-time upload modes, and emergency shut-off valves activate with a 3-second delay. This ensures both timely safety management and long-term sustainability of local energy storage.

[0069] Step 5: Small storage tanks serve as both energy storage and supply devices. These tanks are selected based on user energy consumption standards, with a storage capacity exceeding 7 days and energy reserve security ensured by artificial intelligence algorithms. The intelligent controller periodically captures fluctuation data from liquid level sensors and pressure sensors installed on the tanks, uploading this data to a remote monitoring platform. The platform intelligently calculates subsequent energy consumption forecasts and peak-hour energy supply plans. If energy reserves fall below 7 days' worth of energy consumption, the system platform issues a notification, and the tank's supply personnel promptly arrange delivery to replenish energy, ensuring normal production and daily life for the user. Under conditions of sufficient gas supply, instructions are sent to the intelligent controller by distributed grid operators to supplement the distributed grid's power gap through gas-fired power generation. This is particularly beneficial for users experiencing frequent natural disasters or those requiring backup energy sources, such as hospitals and schools, providing economical and long-term locally stored clean energy security.

[0070] Step Six: Multi-Energy Coupling Method: For a single user, distributed multi-energy coupling can be achieved with distributed photovoltaic (PV), distributed wind power, and biomass power generation. When there is insufficient power due to factors such as insufficient sunlight, no wind, or insufficient biomass supply, the user cannot produce electricity. Therefore, the distributed grid needs a stable and reliable supplementary energy source. This method adopts a scheme that couples the power grid, new energy sources, and gas-fired power generation, which can ensure stable power supply for high-energy-consuming areas with insufficient rural power grid power. The control process is as follows: the intelligent control device prioritizes the use of new energy power according to set parameters. When the distributed grid power supply is lower than the threshold or the voltage is lower than 200V, the gas-fired power generation is started in real time to supplement the power. The user's energy cost and environmental emissions are better than the traditional diesel engine power supply method.

[0071] Step 7: The intelligent control device automatically performs periodic self-checks based on set parameters, including gas flow meters, pressure sensors, temperature sensors, and liquid level fluctuations. Self-check records are automatically saved. Through artificial intelligence algorithms and database comparisons, anomalies can be detected in advance, and alarm information and auxiliary decision-making solutions can be sent to the handheld terminal in a timely manner, thus coupling artificial intelligence with on-site inspections. If abnormalities such as abnormal flow, high temperature, high pressure, or leakage are detected, the local automatic control will cut off the solenoid valve and gas supply, providing real-time protection for equipment and personnel safety. At the same time, alarm information will be issued so that the gas operating unit can effectively manage and protect the safety of operators, and can also effectively avoid safety problems caused by human error.

[0072] Step 8: The intelligent controller possesses data caching capabilities and is an independent device with local artificial intelligence computing. It also manages all sensors and solenoid valves in the equipment monitoring system, enabling wireless communication and data transmission with the remote monitoring platform and handheld terminal devices. It features data processing, data storage, GPS / BeiDou positioning, 4G wireless data transmission capabilities, and data interconnection with the management and operation platforms. Step 9: It has an emergency stop function. When the emergency stop switch is pressed, it can cut off the local emergency cut-off and other safety control devices and set up an audible and visual alarm. After the operators have investigated the problem, they can manually reset it locally. Step 10: Remote operation monitoring platform. The small storage tank device is interconnected with the manufacturing unit management platform. Data communication is carried out through the communication protocol of the gas unit operation monitoring platform. The device information is obtained in real time and fed back on the platform. The device can also determine whether to send an unlocking command based on the request sent by the device. Step 11: The intelligent controller has data caching capability and communication encryption technology. When it is unable to report information to the operation platform in real time due to the lack of access to the mobile network, the information can be cached in the local storage and actively resend the offline information to the relevant platform after the network is restored. Step 12: The intelligent controller, handheld intelligent terminal, and IoT lock achieve BeiDou positioning + electronic fence management capabilities. The intelligent controller reports the BeiDou positioning to the platform in real time. When the BeiDou positioning of the handheld intelligent terminal is within 100 meters of the intelligent controller's positioning, it can automatically receive the dynamic password of the IoT lock. Operators can use the valid dynamic password to open the operation box for refueling or maintenance. When the positioning of the handheld intelligent terminal is not within 100 meters of the intelligent controller's positioning, the intelligent controller determines that it is outside the electronic fence and is not an authorized person operating the device, refuses to send the dynamic password, and records the monitoring screen in real time and uploads it to the remote monitoring platform.

[0073] The above description of the technical solution provided by this utility model through several specific embodiments is intended to highlight the advantages and benefits of the technical solution provided by this utility model. However, the above-described specific embodiments are not intended to limit this utility model. Any reasonable modifications and improvements to this utility model, combinations of embodiments, and equivalent substitutions based on the spirit and principles of this utility model should be included within the protection scope of this utility model.

Claims

1. A smart distributed multi-energy coupled micro-pipeline gas supply system, characterized in that, include: A small liquefied petroleum gas storage tank (1) is installed on a base (23). The top of the storage tank is equipped with a safety valve (2), a gas phase electronically controlled emergency shut-off valve (7), and a backflow prevention high pressure regulator (8). The middle of the storage tank is equipped with a high pressure sensor (14), a liquid level gauge (15), and a self-closing liquid supply valve (9). The bottom of the storage tank is equipped with a low pressure sensor (16), a mechanical low pressure gauge (17), and a backflow prevention low pressure regulator (19). The self-closing filling valve (5), the self-closing gas supply valve (6), and the self-closing gas phase balance valve (12) are connected to the gas phase supply pipeline (22) to realize the filling, gas supply and gas phase balance of liquefied petroleum gas. The high-pressure sensor (14), low-pressure sensor (16), level gauge (15) and combustible gas leak detector (18) are connected to the intelligent controller (24) to collect tank operating parameters and upload monitoring data. The intelligent controller (24) is installed inside the control box (20), and the control box (20) is equipped with an IoT lock (21) to restrict unauthorized personnel from opening it; The intelligent controller (24) is electrically connected to the gas phase electric emergency shut-off valve (7), the anti-backflow high pressure regulator (8), and the anti-backflow low pressure regulator (19) respectively, and is used to automatically execute gas supply control based on the detection data; The photovoltaic power generation device (26) and the gas-fired power generation device (27) provide power to the system.

2. The intelligent distributed multi-energy coupled micro-pipeline gas supply system according to claim 1, characterized in that, Also includes: A smart controller (24) is used to start the gas-fired power generation unit (27) to maintain system operation when photovoltaic power is insufficient.

3. The intelligent distributed multi-energy coupled micro-pipeline gas supply system according to claim 1, characterized in that, Also includes: Video surveillance (25) is installed around the storage tank and communicates with the intelligent controller (24) to monitor the site conditions in real time and upload video information to the remote monitoring platform (28).

4. The intelligent distributed multi-energy coupled micro-pipeline gas supply system according to claim 1, characterized in that, The small liquefied petroleum gas storage tank (1) has a double-layer protective structure. The outer layer is equipped with an anti-corrosion and heat insulation layer, and the inner layer is used to store room temperature liquid liquefied petroleum gas. The top of the storage tank is equipped with a self-closing filling valve (5) for limited filling protection. When the liquid volume reaches 80% of the storage tank volume, it will automatically close to prevent overfilling.

5. The intelligent distributed multi-energy coupled micro-pipeline gas supply system according to claim 1, characterized in that, A gas phase electrically controlled emergency shut-off valve (7), a backflow prevention high-pressure regulator (8), and a backflow prevention low-pressure regulator (19) are sequentially installed on the gas phase gas supply pipeline (22). The backflow prevention high-pressure regulator (8) is used to adjust the output pressure to below 0.2 MPa, and the backflow prevention low-pressure regulator (19) is used to further stabilize the output pressure to below 8 kPa and automatically closes to prevent backflow when backflow is detected.

6. The intelligent distributed multi-energy coupled micro-pipeline gas supply system according to claim 1, characterized in that, The high-pressure sensor (14), low-pressure sensor (16), level gauge (15) and combustible gas leak detector (18) are all connected to the intelligent controller (24) via signal. The intelligent controller (24) is equipped with a data acquisition module and a threshold determination module, which are used to realize the real-time acquisition, analysis and early warning of pressure, level and leak signals.

7. The intelligent distributed multi-energy coupled micro-pipeline gas supply system according to claim 1, characterized in that, The control box (20) is located on one side of the small liquefied petroleum gas storage tank (1). The IoT lock (21) is connected to the intelligent controller (24) and the remote monitoring platform (28). The IoT lock (21) has a dual authentication function of one-time dynamic password and Beidou positioning, and the control box (20) is only allowed to be opened within the authorized scope.

8. The intelligent distributed multi-energy coupled micro-pipeline gas supply system according to claim 1, characterized in that, The photovoltaic power generation device (26) and the gas power generation device (27) are connected in parallel via a DC bus to form a multi-energy power supply module. The intelligent controller (24) is used to automatically start the gas power generation device (27) when the photovoltaic power generation is insufficient or the energy storage capacity is lower than the set value.

9. A gas supply network, characterized in that, Includes the gas supply system as described in claim 1.

10. A liquefied petroleum gas supply device, characterized in that, Includes the gas supply system as described in claim 1.

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