Fire test platform and method for fire-fighting equipment of transformer substation in Saggob area

Abstract

The invention relates to the technical field of fire-fighting experiment platforms, and discloses a fire test platform for fire-fighting equipment of a transformer substation in a Sagolian area, which comprises an experiment truss, a main body oil tank is arranged in the experiment truss and is positioned in a geometric center area of the experiment truss, and a smoke-sensing and temperature-sensing fire detector is fixedly arranged at the inner top of the experiment truss; the smoke and temperature sensing fire detector is located over the main oil tank, a fire detection camera is installed on the upper portion of the inner side wall of the experiment truss, and the installation position of the fire detection camera is higher than the top of the main oil tank. According to the fire test platform and the test method for the fire fighting equipment of the transformer substation in the Saggoga region, multi-dimensional anti-interference monitoring of the environment sensing layer, dynamic decision making of the intelligent control layer, extreme environment adaptation design of the hardware execution layer and closed-loop optimization of the verification feedback layer are carried out; the problems that scene simulation of a traditional platform is distorted, data acquisition is interfered, and equipment layout is rigid are solved.

Description

Technical Field

[0001] The present invention relates to the technical field of fire test platforms, and in particular to a fire test platform and an experimental method for fire protection equipment in a substation in Shagohuang area. Background Art

[0002] Existing substation fire test platforms are primarily used to simulate fire scenarios involving substation transformers and other equipment, testing the response effectiveness of fire detection and extinguishing systems. These platforms typically include a basic fire simulation structure, detection components, a fire extinguishing actuator, and a simple control unit. These platforms collect temperature and flame shape data by pre-setting fixed fire scenarios to verify the firefighting capabilities of firefighting equipment in conventional environments. These platforms have been used in the development of firefighting equipment in urban and general outdoor substations, providing fundamental testing support for the evolution of firefighting technology.

[0003] However, in response to the testing needs of substation fire-fighting equipment in the Shagohuang area, the existing platform has insufficient environmental simulation capabilities and mostly uses single parameters, which cannot reproduce extreme scenarios such as strong winds, dust, and low temperatures, resulting in a large deviation between the test scenario and the actual environment; secondly, the hardware layout and process control are rigid, lacking a closed-loop optimization mechanism, and the test process relies on preset rules, and cannot dynamically adjust the strategy based on real-time data. As a result, in the actual application of fire-fighting equipment in the Shagohuang area, there are often problems such as high false alarm rates and reduced fire-fighting efficiency, making it difficult to meet the reliability verification needs in extreme environments. Summary of the Invention

[0004] The technical problem to be solved by the present invention is that the existing technology has the shortcomings of insufficient simulation capability and rigid process. For this reason, we propose a fire test platform and experimental method for substation fire fighting equipment in Shagohuang area.

[0005] In order to achieve the above-mentioned purpose, the present application adopts the following technical solutions: a fire test platform for fire-fighting equipment of a substation in Shagohuang area, comprising an experimental truss, wherein the main oil tank is placed inside the experimental truss and is located in the geometric center area of ​​the experimental truss, a smoke and heat fire detector is fixedly installed on the inner top of the experimental truss, and the smoke and heat fire detector is located directly above the main oil tank, a fire detection camera is installed on the upper part of the inner side wall of the experimental truss, the installation position of the fire detection camera is higher than the top of the main oil tank, and forms a spatial diagonal distribution with the smoke and heat fire detector, a fireproof box is installed inside the experimental truss, the fireproof box is arranged directly above the main oil tank, an overflow box is fixedly installed above the fireproof box, the overflow box, the fireproof box and the main oil tank are stacked up and down, an oil pillow is also provided inside the experimental truss, one side of the oil pillow is connected to an oil pipeline, a valve is connected in series on the oil pipeline, the valve is used to control oil delivery, and the oil pipeline is used to connect the oil pillow and the main oil tank; The interior of the main oil tank is provided with oil pool A, oil pool B, oil pool C and oil pool D, and the surrounding of the main oil tank is provided with oil pool E, oil pool F, oil pool G, oil pool H, oil pool I and oil pool J. The surrounding of the main oil tank is provided with a lower oil pool, a left oil pool, an upper oil pool and a left oil pool. The top of the overflow box is provided with a lower left overflow hole and an upper left overflow hole, and the other side of the top of the overflow box is provided with a lower right overflow hole and a lower right overflow hole. The top of the overflow box is also provided with an upper overflow hole and a lower overflow hole. A foundation pit is excavated around the fireproof box, and fireproof pebbles are laid in the foundation pit.

[0006] Preferably, the oil pool A and the oil pool C are closed structures, respectively located at the left and right ends of the top of the main oil tank, symmetrically distributed, and each has two combustion holes on the top. The oil pool B is a semi-closed structure with an opening on the top, located in the central area of ​​the top of the main oil tank. The oil pool D is a semi-closed structure, located at the right edge of the top of the main oil tank, and has one combustion hole on the top.

[0007] Preferably, the oil pool E, oil pool F, oil pool G, oil pool H, oil pool I and oil pool J are all semi-enclosed structures with openings on the top, arranged around the outer circumference of the main oil tank, and their volumes are all larger than the volume of the main oil tank, among which, the oil pool E and oil pool F are located in front of the main oil tank, the oil pool H and oil pool I are located behind the main oil tank, and the oil pool G and oil pool J are located on both sides of the main oil tank.

[0008] Preferably, the smoke and heat fire detectors and the fire detection camera are connected to the central controller via a data bus and are connected to the fire linkage controller via a data bus. The central controller is equipped with a fire determination algorithm and the fire linkage controller is equipped with a fire determination algorithm. When the two detectors trigger an alarm signal at the same time, a fire confirmation instruction is output; The fire detection camera is equipped with an anti-shake bracket and a dust-proof cover. The surface of the cover is coated with a super-hydrophobic coating and has a built-in automatic cleaning brush that starts to clean sand and dust every 10 minutes.

[0009] Preferably, the system is composed of an environmental perception module, an intelligent control module, a hardware execution module and a verification feedback module, and the environmental perception module, the intelligent control module, the hardware execution module and the verification feedback module transmit signals through real-time data communication and instructions.

[0010] Preferably, the environmental perception layer includes a meteorological monitoring unit for collecting wind speed, wind direction, dust concentration, ambient temperature and light intensity in real time; a thermodynamic sensor array distributed in the main oil tank and firewall area for monitoring the fire temperature field and heat flux density; an optical recognition system with an integrated multi-spectral imaging module and an anti-dust interference algorithm for identifying the flame shape and spread status; and a fluid state monitoring unit for collecting flow state parameters of oil and fire extinguishing medium.

[0011] Preferably, the intelligent control layer includes a dynamic orchestration unit with a built-in library of typical scenario templates of Shagohuang, which can dynamically generate or adjust the experimental process based on the real-time data of the environmental perception layer, and support the conditional branch logic of scenario adaptation; a position optimization controller, which uses an intelligent algorithm to calculate the optimal layout of the hardware equipment, and realizes adaptive adjustment of the equipment position as the environment changes, avoiding measurement blind spots and equipment action conflicts; an abnormality handling center, which is used to monitor equipment failures and environmental mutations, and trigger a hierarchical disposal mechanism to ensure experimental safety; a human-computer interaction terminal, which is used for visual display of experimental status and manual intervention operations.

[0012] Preferably, the hardware execution layer includes an adjustable pan-tilt system, which integrates a multi-degree-of-freedom robotic arm and a guide rail telescopic mechanism, and is used to drive the spatial position adjustment of sensing equipment and measuring components; an adaptive fire extinguishing actuator, which is equipped with an angle-adjustable swirl separation nozzle; an environmental simulation device, including a wind field simulation module and a dust simulation module, which is used to reproduce the extreme weather conditions in the Shagohuang area; the verification feedback layer includes a digital twin, which builds a real-time mirror of the physical state of the system, and is used to preview the effects of hardware actions and predict potential conflicts; a strategy optimization engine, which builds an association model based on experimental data and updates the decision rule library of the intelligent control layer through self-learning iteration.

[0013] Experimental methods of the fire test platform for substation fire fighting equipment in Shagohuang area: S1: Set the target experimental environment parameters through the meteorological monitoring unit of the environmental perception layer, start the environmental simulation device, reproduce the extreme weather conditions in the Shagohuang area through the wind field simulation module and the sand and dust simulation module, call the preset Shagohuang typical scene template based on the dynamic orchestration unit, and initialize the experimental process parameters.

[0014] S2: Oil is delivered to the main oil tank through the oil pipeline, the combustion system is started, and a preset fire scene is established in the main oil tank and the surrounding oil pools E, F, G, H, I, and J. Simultaneously, temperature field and heat flux density data monitored by the thermodynamic sensor array, flame morphology and spread status data identified by the optical recognition system, and oil and fire extinguishing medium flow status data collected by the fluid status monitoring unit are collected; S3: The position optimization controller in the intelligent control layer dynamically adjusts the spatial position of the adjustable pan / tilt system using intelligent algorithms based on real-time environmental parameters, ensuring that the monitoring equipment has no measurement blind spots. The dynamic orchestration unit adjusts the experimental process in real time based on the collected data and triggers the conditional branching logic. S4: The adaptive fire extinguishing actuator is activated, and the fire extinguishing medium is sprayed by adjusting the angle. The digital twin simultaneously rehearses the fire extinguishing action effect. The strategy optimization engine of the verification feedback layer compares the actual effect with the rehearsal result and corrects the control parameters in real time. S5: Integrate data from the entire experimental cycle and build a correlation model; iteratively update the decision rule library of the intelligent control layer through reinforcement learning algorithms to form a closed-loop optimization.

[0015] Preferably, in step S2, the fire scene construction includes at least three modes: In the single-point combustion mode of the main fuel tank, only the combustion holes at the top of the main fuel tank, namely, oil pool A, oil pool C, oil pool B, and oil pool D, are activated; Multi-tank linkage combustion mode, which simultaneously activates the combustion systems of the main tank and at least two surrounding tanks; In the fire spreading mode, the main fuel tank is activated for combustion first, and then the secondary combustion of the adjacent fuel tank is triggered after a delay of 5-10 minutes; Technical effects and advantages of the present invention: The present invention addresses the defects of existing technologies in extreme environment simulation, anti-interference ability, dynamic adjustment and closed-loop optimization. Through multi-dimensional anti-interference monitoring of the environmental perception layer, dynamic decision-making of the intelligent control layer, extreme environment adaptation design of the hardware execution layer and closed-loop optimization of the verification feedback layer, the coupling environment of the Shagohuang area is accurately reproduced, and the problems of scene simulation distortion, data collection interference, and rigid equipment layout of traditional platforms are solved. It can not only reproduce the full-chain thermal evolution process from oil tank combustion to transformer spread to firewall baking, but also significantly improve the verification efficiency and data reliability of fire-fighting equipment in extreme environments through dynamic adjustment and strategy iteration, filling the technical gap in the fire-fighting equipment test of substations in the Shagohuang area, and providing core support for the research and development of fire-fighting technology and standard setting in the region. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] The disclosure of the present invention is illustrated with reference to the accompanying drawings. It should be understood that the drawings are for illustrative purposes only and are not intended to limit the scope of protection of the present invention. In the drawings, the same reference numerals are used to refer to the same components: Figure 1 It is a structural schematic diagram of the experimental platform of the present invention; Figure 2 This is a schematic structural diagram of the top oil pool and the lower right overflow hole of the present invention; Figure 3 It is a structural schematic diagram of the overflow box and the fireproof box of the present invention; Figure 4 Schematic diagram of the main fuel tank of the present invention; Figure 5 Schematic diagram of the test platform and its surrounding layout.

[0017] Legend: 1. Experimental truss; 2. Overflow box; 3. Fireproof box; 4. Lower oil pool; 5. Left oil pool; 6. Oil pillow; 7. Lower left overflow hole; 8. Lower overflow hole; 9. Valve; 10. Oil pipeline; 11. Upper left overflow hole; 12. Upper oil pool; 13. Upper overflow hole; 14. Upper right overflow hole; 15. Top oil pool; 16. Lower right overflow hole; 17. Left oil pool; 18. Fireproof pebbles; 19. Oil pool B; 20. Oil pool C; 21. Oil pool D; 22. Oil pool A; 23. Oil pool F; 24. Oil pool G; 25. Oil pool H; 26. Oil pool I; 27. Oil pool J; 28. Oil pool E. DETAILED DESCRIPTION

[0018] It is easy to understand that according to the technical solution of the present invention, without changing the essential spirit of the present invention, a person skilled in the art can propose a variety of interchangeable structural modes and implementation modes. Therefore, the following specific embodiments and drawings are only exemplary descriptions of the technical solution of the present invention and should not be regarded as the entire invention or as a limitation or restriction of the technical solution of the present invention.

[0019] Reference Figure 1-Figure 5 As shown, the present invention provides a technical solution: a fire test platform for fire-fighting equipment of a substation in Shagohuang area, comprising an experimental truss 1, which is a closed space, wherein a main oil tank is placed inside the experimental truss 1 and is located in the geometric center area of ​​the experimental truss 1, a smoke and temperature fire detector is fixedly installed on the inner top of the experimental truss 1, and the smoke and temperature fire detector is located directly above the main oil tank, a fire detection camera is installed on the upper part of the inner wall of the experimental truss 1, and the fire detection camera is installed at a position higher than the top of the main oil tank and forms a spatial diagonal distribution with the smoke and temperature fire detector, a fireproof box 3 is installed inside the experimental truss 1, and the fireproof box 3 is arranged directly above the main oil tank, an overflow box 2 is fixedly installed above the fireproof box 3, and the overflow box 2, the fireproof box 3 and the main oil tank are stacked up and down, an oil pillow 6 is further provided inside the experimental truss 1, and an oil pipeline 10 is connected to one side of the oil pillow 6, and a valve 9 is connected in series on the oil pipeline 10, and the valve 9 is used to control the oil delivery, and the oil pipeline 10 is used to connect the oil pillow 6 and the main oil tank; The interior of the main oil tank is provided with oil pool A22, oil pool B19, oil pool C20 and oil pool D21, and the surrounding of the main oil tank is provided with oil pool E28, oil pool F23, oil pool G24, oil pool H25, oil pool I26 and oil pool J27. The surrounding of the main oil tank is provided with lower oil pool 4, left oil pool 5, upper oil pool 12 and left oil pool 17. The top of the overflow box 2 is provided with upper left overflow hole 11 and lower left overflow hole 7, and the other side of the top of the overflow box 2 is provided with upper right overflow hole 14 and lower right overflow hole 16. The top of the overflow box 2 is also provided with upper overflow hole 13 and lower overflow hole 8. A foundation pit is excavated around the fireproof box 3, and fireproof pebbles are laid in the foundation pit. The foundation pit is used to accommodate the flowing fuel. After the ignited fuel enters the foundation pit, it encounters the fireproof pebbles to cool down and extinguish the fire, and at the same time prevents the spread of fire.

[0020] Oil pools A22 and C20 are closed structures, located at the left and right ends of the main tank top, respectively, and are symmetrically distributed. Both have two combustion holes on the top. Oil pool B19 is a semi-closed structure with an upper opening, located in the central area of ​​the main tank top. Oil pool D21 is a semi-closed structure, located at the right edge of the main tank top, and has one combustion hole on the top. Oil pools E28, F23, G24, H25, I26, and J27 are all semi-enclosed structures with an opening at the top. They are arranged around the periphery of the main fuel tank and have a volume greater than that of the main tank. Oil pools E28 and F23 are located in front of the main tank, oil pools H25 and I26 are located in the rear of the main tank, and oil pools G24 and J27 are located on both sides of the main tank. The main fuel tank is equipped with various combustion structures. Oil pools A22 and C20 are rectangular, enclosed cavities, located at the left and right ends of the main tank's top, respectively, in a mirror-symmetrical arrangement. Two 50mm-diameter combustion holes are located at the top of each cavity, allowing for the injection of combustion flames.

[0021] The oil pool B19 is a semi-enclosed rectangular trough with an opening at the top. It is located in the central area of ​​the top of the main oil tank and is used to simulate the large-area combustion scenario of the transformer body.

[0022] The oil pool D21 is a semi-enclosed rectangular cavity located at the right edge of the top of the main oil tank. A combustion hole with a diameter of 80 mm is opened on the top to simulate the local oil injection combustion of the transformer. There are 6 semi-enclosed oil pools around the main oil tank. The front oil pool E28 and oil pool F23 are arranged in a rectangular shape, with dimensions of 4m×3m×1.5m (length×width×height), and are used to simulate fires in equipment on the front side of the transformer.

[0023] The rear oil pool H25 and oil pool I26 are arranged symmetrically with the front oil pool and have the same size. They are used to simulate the fire spread scenario at the rear of the transformer.

[0024] The oil pools G24 and J27 on both sides are 3m×3m×1.5m in size and are located on the left and right sides of the main oil tank respectively, and are used to simulate lateral fire spread.

[0025] All oil pools are made of Q245R steel with a wall thickness of 8mm. They are equipped with guide grooves and heating coils inside to preheat the oil to 60°C to simulate the oil temperature of the transformer during operation.

[0026] In the thermocouple layout of the fire test platform for firefighting equipment at the Shagohuang substation, thermocouples No. 1 and No. 2 are installed 4 meters above the oil tank to monitor the high-altitude temperature above the tank; thermocouples No. 3 and No. 4 are arranged 2 meters above the tank to monitor the medium and low-altitude temperatures; thermocouple No. 11 is located 2 meters above the front oil tank to focus on the medium and low-altitude temperatures of the front oil tank; thermocouple No. 9 is built into the left oil tank to directly collect the oil temperature inside the tank; Thermocouple No. 5 is installed 5m from the transformer bushing (the bushing is a high-voltage outlet component) to monitor the temperature near the bushing; thermocouple No. 6 and thermocouple No. 7 are located 4m and 2m from the outer wall of the transformer, respectively, to measure the high-altitude and low-altitude radiation temperatures outside the transformer; thermocouple No. 8 is arranged above the mid-level oil pan (the oil storage component at the bottom of the transformer) to monitor the temperature of the oil pan area; thermocouple No. 10 is built into the transformer oil tank to directly collect the oil temperature inside the tank; thermocouple No. 12 and thermocouple No. 13 are installed at the height of 4m and 2m on the left firewall, respectively, to monitor the high-altitude and low-altitude temperatures of the firewall.

[0027] Six radiation heat flux meters were deployed horizontally between the southwest corner of the transformer and the firewall, one every 2 meters at a uniform height of 1.5 meters. This arrangement formed a continuous radiation heat flux monitoring array, capturing the horizontal distribution characteristics of fire heat flux, such as heat flux density and propagation rate, in real time. This provided critical data support for fire thermal field modeling and verification of the thermal protection performance of firefighting equipment.

[0028] Thermocouples are arranged in layers according to height (2m, 4m, 5m) and functional areas (oil tank, transformer, firewall) to ensure that temperature data is collected without blind spots, and to reproduce the entire thermal evolution process of the substation fire in the Shagohuang area, from the oil tank burning to the transformer spreading and then to the firewall being burned.

[0029] The heat flux meters are evenly distributed at a height of 1.5m with a spacing of 2m, simulating the horizontal propagation law of radiant heat flux in extreme environments and providing accurate data support for the optimization of fire fighting strategies.

[0030] In the experiment, by adding foam mixture into the foam storage tank, starting the air compressor to apply rated pressure to the foam liquid storage tank to 0.8MPa, and injecting compressed gas into the foam generating device at the same time; checking the opening status of all valves of the fire extinguishing system, and using the ball valve to adjust the oil overflow flow of the high-level heating oil pillow 6 to 20L / min; after preheating the transformer oil to 90℃, inject transformer oil into the oil pan, heat the oil pillow 6, and ignite the transformer oil in the oil pan and pre-burn for 6.5min respectively. During the test, the electric control valve 9 on the oil pipeline 10 is opened, and the oil can be naturally unloaded into the main oil tank and the top oil pool 15. Two overflow ports are provided on the short side and the middle section of the long side of the left side of the top oil pool 15. The hot transformer oil transported to the main oil tank and the top oil pool 15 overflows from the combustion hole and the overflow port respectively; the outlet valve of the compressed air foam fire extinguishing system is opened to extinguish the fire, and the foam flows through the pipe network into the nozzle to cover the transformer with foam, detect and observe the foam state, and record the test phenomena and data.

[0031] The fire test platform for substation firefighting equipment in the Shagohuang area consists of an environmental perception module, an intelligent control module, a hardware execution module, and a verification and feedback module. These modules communicate data and transmit commands in real time. Smoke and heat detectors and fire detection cameras are connected to the fire linkage controller via a data bus. The fire linkage controller is equipped with a fire determination algorithm. When both detectors trigger an alarm signal simultaneously, it outputs a fire confirmation command. The environmental simulation device is the core hardware for reproducing the extreme environment of Shagohuang. The wind field simulation module uses four axial flow fans symmetrically arranged around the test site, equipped with adjustable guide plates and a PID closed-loop control system to accurately achieve 0-50m / s omnidirectional wind conditions, covering the control of steady wind, gusts, and cyclones; the sand and dust simulation module relies on storage bins, screw feeders, and high-pressure air pumps, combined with vibration screening and light scattering concentration closed-loop to reproduce the Shago sand and dust environment. The device calls the preset scene parameters through the dynamic orchestration engine of the intelligent control layer, coordinates the environmental perception layer for real-time calibration, and connects to the digital twin to rehearse the effects of fire spread and equipment erosion, completely reproducing the extreme weather of Shagohuang and providing full-condition testing conditions for fire-fighting equipment. It solves the problems of single parameters and working condition distortion in traditional simulations, and improves the efficiency of extreme environment verification.

[0032] The fire detection camera is equipped with an anti-shake bracket and a dust-proof cover. The surface of the cover is coated with a super-hydrophobic coating and has a built-in automatic cleaning brush that starts to clean sand and dust every 10 minutes.

[0033] The environmental perception layer includes a meteorological monitoring unit for real-time data collection of wind speed, wind direction, dust concentration, ambient temperature, and light intensity. Eight monitoring nodes are deployed through a distributed sensor network architecture: four in the main fuel tank, two in the oil pool area, and two in the firewall. These nodes are self-organized via the ZigBee protocol. The wind speed sensor uses a three-cup structure with a built-in heating wire to prevent dust from freezing. Dust concentration is detected using a laser scattering method, where the calculation formula is: ,in is the dust concentration, is the calibration coefficient, is the scattered light intensity, is the incident light intensity, is the attenuation coefficient, is the optical path length. By fusing multi-node data, single-point errors are eliminated, improving the accuracy of dust concentration measurements.

[0034] Thermodynamic sensor arrays are distributed throughout the main fuel tank and firewall areas to monitor fire temperature fields and heat flux density. High-temperature-resistant optical fiber is wrapped around the outer wall of the main fuel tank, achieving a spatial resolution of 0.5m and a temperature accuracy of ±0.5°C. The heat flow meter utilizes the Gardon heat flow meter principle, features a built-in differential amplifier, and its output signal undergoes wavelet denoising. The optical recognition system integrates a multispectral imaging module with an anti-sand and dust interference algorithm to identify flame form and spread. The multispectral imaging module utilizes a three-channel fusion of RGB, near-infrared (NIR), and short-wave infrared (SWIR). The fluid state monitoring unit collects flow state parameters of the oil and fire extinguishing medium. Through multi-sensor fusion and anti-interference algorithms, it achieves full-factor data collection in the extreme environment of Shagohuang, providing high-precision input for intelligent decision-making and ensuring high consistency between the experimental scenario and the real environment.

[0035] The intelligent control layer includes a dynamic orchestration unit with a built-in library of typical scenario templates from Shagohuang. It can dynamically generate or adjust the experimental process based on real-time data from the environmental perception layer and supports conditional branching logic for scenario adaptation. Based on the finite state machine (FSM) model, it defines five experimental states, including initialization, pre-combustion, combustion, extinguishing, and termination, as well as state transition rules and calculation formulas: ,in is the current state, is the environmental parameter vector, As the decision rule base, a fuzzy logic controller is used to deal with uncertainty.

[0036] The position optimization controller uses intelligent algorithms to calculate the optimal layout of hardware equipment, realizes adaptive adjustment of equipment position as the environment changes, and avoids measurement blind spots and equipment action conflicts; the abnormality handling center is used to monitor equipment failures and environmental mutations, triggering a hierarchical disposal mechanism to ensure experimental safety; the human-computer interaction terminal is used for visual display of experimental status and manual intervention operations. Through finite state machines, fuzzy logic, and improved PSO algorithms, it realizes automated arrangement of experimental processes and optimization of equipment layout, shortens system response time, improves monitoring coverage, and significantly improves experimental efficiency and reliability.

[0037] The hardware execution layer includes an adjustable pan-tilt system with an integrated multi-degree-of-freedom robotic arm and a rail-type telescopic mechanism for driving the spatial position adjustment of sensing equipment and measurement components; an adaptive fire extinguishing actuator equipped with an angle-adjustable swirl separation nozzle; and an environmental simulation device, including a wind field simulation module and a dust simulation module, for reproducing the extreme weather conditions in the Shagohuang region. The verification feedback layer includes a real-time virtual mirror of the system's physical state, constructed through digital technology by the digital twin, which is used to preview the effects of hardware actions and predict potential conflicts. The digital twin first imports the geometric parameters and physical properties of the experimental truss, main fuel tank, oil pool, and sensors. Secondly, it receives multi-dimensional monitoring data from the environmental perception layer through a real-time data interface, monitoring temperature field distribution, flame shape, wind speed and dust concentration, and the action status data of the hardware execution layer. The ensemble Kalman filter algorithm is used to achieve dynamic calibration between the virtual model and the physical system, ensuring that the deviation between the virtual mirror and the actual state is minimized. This real-time mirroring and preview mechanism not only reduces the trial and error cost of the physical system, but also improves the accuracy of hardware actions through virtual verification, thereby enhancing the safety and efficiency of the experimental process.

[0038] The strategy optimization engine builds a correlation model based on experimental data and updates the decision rule library of the intelligent control layer through self-learning iteration.

[0039] Through the multi-sensor fusion and anti-interference algorithm of the environmental perception layer, in the extreme environment of strong winds, high dust, and extreme temperature differences in the Shagohuang area, the intelligent control layer, based on the finite state machine and improved particle swarm algorithm, realizes the automatic arrangement of experimental processes and dynamic adjustment of equipment positions within 3 seconds, thereby improving monitoring coverage, greatly reducing manual intervention and eliminating measurement blind spots. Secondly, the hardware execution layer provides a real testing environment for fire-fighting equipment through dynamic modeling and computational fluid dynamics optimization; the verification feedback layer uses digital twins and deep reinforcement learning to fill the technical gap in the testing of fire-fighting equipment in substations in the Shagohuang area, and significantly improves the verification efficiency and R&D quality of fire-fighting equipment in extreme environments.

[0040] Experimental methods of the fire test platform for substation fire fighting equipment in Shagohuang area: S1: Set the target experimental environment parameters through the meteorological monitoring unit of the environmental perception layer, start the environmental simulation device, reproduce the extreme weather conditions in the Shagohuang area through the wind field simulation module and the sand and dust simulation module, call the preset Shagohuang typical scene template based on the dynamic orchestration unit, and initialize the experimental process parameters.

[0041] S2: Oil is delivered to the main oil tank through the oil pipeline 10, the combustion system is started, and a preset fire scene is established in the main oil tank and the surrounding oil pools E28, F23, G24, H25, I26, and J27. Simultaneously, temperature field and heat flux density data monitored by the thermodynamic sensor array, flame form and spread status data identified by the optical recognition system, and oil and fire extinguishing medium flow status data collected by the fluid status monitoring unit are collected; Fire scene construction includes at least three modes: In the single-point combustion mode of the main fuel tank, only the combustion holes at the top of the main fuel tank, namely, oil pool A22, oil pool C20, oil pool B19, and oil pool D21, are activated; Multi-tank linkage combustion mode, which simultaneously activates the combustion systems of the main tank and at least two surrounding tanks; In the fire spreading mode, the main fuel tank is activated for combustion first, and then the secondary combustion of the adjacent oil pool is triggered after a delay of 5-10 minutes.

[0042] An electric heating wire is embedded inside the oil pillow. When the temperature reaches 300°C, it triggers spontaneous combustion of the oil, directly igniting the transformer oil inside the pillow. This simulates the initial scenario of a fire caused by high temperature or electrical fault. The flame spreads upward, forming a burning pattern at the top of the pillow. At the same time, a controllable leakage solenoid valve is installed at the bottom of the pillow. It automatically opens after 3-5 minutes of combustion, allowing the high-temperature oil to drip into the oil pool or main tank below, triggering a fire in the pillow itself, which then leaks and spreads the oil, ultimately triggering a chain reaction of secondary combustion from multiple sources. During this process, the vertical heat flux density monitored by the heat flow meter 2 meters above the oil pillow was simultaneously collected, capturing the thermal radiation peak and spatial distribution of the oil pillow combustion, the leaking oil flow recorded by the fluid state monitoring unit, and the burning spread path of the dripping oil tracked by the optical recognition system. This filled the gap in the testing of "oil pillow body fire" in the Shagohuang substation and provided full-cycle data of oil pillow fires for the verification of fire-fighting equipment.

[0043] S3: The position optimization controller in the intelligent control layer dynamically adjusts the spatial position of the adjustable pan / tilt system using intelligent algorithms based on real-time environmental parameters, ensuring that the monitoring equipment has no measurement blind spots. The dynamic orchestration unit adjusts the experimental process in real time based on the collected data and triggers the conditional branching logic. S4: The adaptive fire extinguishing actuator is activated, and the fire extinguishing medium is sprayed by adjusting the angle. The digital twin simultaneously rehearses the fire extinguishing action effect. The strategy optimization engine of the verification feedback layer compares the actual effect with the rehearsal result and corrects the control parameters in real time. S5: Integrate data from the entire experimental cycle and build a correlation model; iteratively update the decision rule library of the intelligent control layer through reinforcement learning algorithms to form a closed-loop optimization.

[0044] The technical scope of the present invention is not limited to the contents of the above description. Those skilled in the art can make various deformations and modifications to the above embodiments without departing from the technical idea of ​​the present invention, and these deformations and modifications should all fall within the protection scope of the present invention.

Claims

1. The fire test platform for firefighting equipment of substations in Shagohuang area is characterized by: The experimental truss comprises an experimental truss, wherein the main oil tank is placed inside the experimental truss and is located in the geometric center area of ​​the experimental truss, a smoke and heat fire detector is fixedly installed on the inner top of the experimental truss, and the smoke and heat fire detector is located directly above the main oil tank, a fire detection camera is installed on the upper part of the inner side wall of the experimental truss, and the installation position of the fire detection camera is higher than the top of the main oil tank, and forms a spatial diagonal distribution with the smoke and heat fire detector, a fireproof box is installed inside the experimental truss, and the fireproof box is arranged directly above the main oil tank, and an overflow box is fixedly installed above the fireproof box, and the overflow box, the fireproof box and the main oil tank are in an upper and lower stacked structure, an oil pillow is also provided inside the experimental truss, and an oil pipeline is connected to one side of the oil pillow, a valve is connected in series on the oil pipeline, and the valve is used to control oil delivery, and the oil pipeline is used to connect the oil pillow and the main oil tank; The interior of the main oil tank is provided with oil pool A, oil pool B, oil pool C and oil pool D, and the surrounding of the main oil tank is provided with oil pool E, oil pool F, oil pool G, oil pool H, oil pool I and oil pool J. The surrounding of the main oil tank is provided with a lower oil pool, a left oil pool, an upper oil pool and a left oil pool. The top of the overflow box is provided with a lower left overflow hole and an upper left overflow hole, and the other side of the top of the overflow box is provided with a lower right overflow hole and a lower right overflow hole. The top of the overflow box is also provided with an upper overflow hole and a lower overflow hole. A foundation pit is excavated around the fireproof box, and fireproof pebbles are laid in the foundation pit.

2. The fire test platform for firefighting equipment in the substation in Shagohuang area according to claim 1 is characterized by: The oil pool A and oil pool C are closed structures, located at the left and right ends of the top of the main oil tank respectively, and are symmetrically distributed. Two combustion holes are provided on the top. The oil pool B is a semi-closed structure with an opening at the top, located in the central area of ​​the top of the main oil tank. The oil pool D is a semi-closed structure, located at the right edge of the top of the main oil tank, and has one combustion hole on the top.

3. The fire test platform for firefighting equipment in the substation in Shagohuang area according to claim 1 is characterized by: The oil pool E, oil pool F, oil pool G, oil pool H, oil pool I and oil pool J are all semi-enclosed structures with openings on the top. They are arranged around the outer circumference of the main oil tank and their volumes are larger than the volume of the main oil tank. Among them, oil pool E and oil pool F are located in front of the main oil tank, oil pool H and oil pool I are located behind the main oil tank, and oil pool G and oil pool J are located on both sides of the main oil tank.

4. The fire test platform for firefighting equipment in the substation in Shagohuang area according to claim 1 is characterized by: The smoke and heat fire detectors and the fire detection camera are connected to the fire linkage controller via a data bus. The fire linkage controller is equipped with a fire determination algorithm. When the two detectors trigger an alarm signal at the same time, it outputs a fire confirmation instruction. The fire detection camera is equipped with an anti-shake bracket and a dust-proof cover. The surface of the cover is coated with a super-hydrophobic coating and has a built-in automatic cleaning brush that starts to clean sand and dust every 10 minutes.

5. The fire test platform for firefighting equipment in the substation in Shagohuang area according to claim 1 is characterized by: The system is composed of an environment perception module, an intelligent control module, a hardware execution module and a verification feedback module, and the environment perception module, the intelligent control module, the hardware execution module and the verification feedback module transmit signals through real-time data communication and instructions.

6. The fire test platform for firefighting equipment in the substation in Shagohuang area according to claim 5 is characterized by: The environmental sensing layer includes a meteorological monitoring unit for real-time collection of wind speed, wind direction, dust concentration, ambient temperature, and light intensity; a thermodynamic sensor array distributed in the main fuel tank and firewall area for monitoring the fire temperature field and heat flux density; The optical recognition system integrates a multispectral imaging module and is equipped with an anti-sand and dust interference algorithm to identify flame shape and spread status; the fluid state monitoring unit is used to collect flow state parameters of oil and fire extinguishing media.

7. The fire test platform for firefighting equipment in the substation in the Shagohuang area according to claim 6 is characterized by: The intelligent control layer includes a dynamic arrangement unit with a built-in library of typical scene templates of Shagohuang, which can dynamically generate or adjust the experimental process based on the real-time data of the environmental perception layer and support the conditional branch logic of scene adaptation; The position optimization controller uses intelligent algorithms to calculate the optimal layout of hardware equipment, realizes adaptive adjustment of equipment position as the environment changes, avoids measurement blind spots and equipment action conflicts; the abnormality processing center is used to monitor equipment failures and sudden environmental changes, triggering a hierarchical disposal mechanism to ensure experimental safety; the human-computer interaction terminal is used for visual display of experimental status and manual intervention operations.

8. The fire test platform for firefighting equipment in the substation in Shagohuang area according to claim 7 is characterized by: The hardware execution layer includes an adjustable pan-tilt system, an integrated multi-degree-of-freedom robotic arm and a guide rail telescopic mechanism, which is used to drive the spatial position adjustment of the sensing device and the measuring component; Adaptive fire extinguishing actuator, equipped with angle-adjustable swirl separation nozzle; Environmental simulation devices, including wind field simulation modules and sand and dust simulation modules, are used to reproduce the extreme weather conditions in the desert region. The verification feedback layer includes a digital twin, which builds a real-time mirror of the system's physical state to preview hardware action effects and predict potential conflicts. The strategy optimization engine builds a correlation model based on experimental data and updates the decision rule library of the intelligent control layer through self-learning iteration.

9. The experimental method of the fire test platform for substation firefighting equipment in the Shagohuang area according to any one of claims 1 to 8, characterized in that: S1: Set the target experimental environment parameters through the meteorological monitoring unit of the environmental perception layer, start the environmental simulation device, reproduce the extreme weather conditions in the Shagohuang area through the wind field simulation module and the sand and dust simulation module, call the preset Shagohuang typical scene template based on the dynamic orchestration unit, and initialize the experimental process parameters. S2: Oil is delivered to the main oil tank through the oil pipeline, and the combustion system is started. A preset fire scene is established in the main oil tank and the surrounding oil pools E, F, G, H, I, and J. The temperature field and heat flux density data monitored by the thermodynamic sensor array, the flame shape and spread state data identified by the optical recognition system, and the oil and fire extinguishing medium flow state data collected by the fluid state monitoring unit are simultaneously collected. The transformer oil in the oil pillow is delivered to the main oil tank through the oil pipeline and valve, and is ejected from the combustion holes of oil pools A and C and ignited, simulating the oil injection combustion of the transformer body. Alternatively, the oil is delivered to oil pools E and F to activate the multi-oil pool linkage combustion mode. S3: The position optimization controller in the intelligent control layer dynamically adjusts the spatial position of the adjustable pan / tilt system using intelligent algorithms based on real-time environmental parameters, ensuring that the monitoring equipment has no measurement blind spots. The dynamic orchestration unit adjusts the experimental process in real time based on the collected data and triggers the conditional branching logic. S4: The adaptive fire extinguishing actuator is activated, and the fire extinguishing medium is sprayed by adjusting the angle. The digital twin simultaneously rehearses the fire extinguishing action effect. The strategy optimization engine of the verification feedback layer compares the actual effect with the rehearsal result and corrects the control parameters in real time. S5: Integrate data from the entire experimental cycle and build a correlation model; iteratively update the decision rule library of the intelligent control layer through reinforcement learning algorithms to form a closed-loop optimization.

10. The experimental method of the fire test platform for substation firefighting equipment in the Shagohuang area according to claim 9 is characterized by: In step S2, the fire scene construction includes at least three modes: In the single-point combustion mode of the main fuel tank, only the combustion holes at the top of the main fuel tank, namely, oil pool A, oil pool C, oil pool B, and oil pool D, are activated; Multi-tank linkage combustion mode, which simultaneously activates the combustion systems of the main tank and at least two surrounding tanks; In the fire spreading mode, the main fuel tank is activated for combustion first, and then the secondary combustion of the adjacent oil pool is triggered after a delay of 5-10 minutes.

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