Porous medium fire parameter measurement system and method based on fixation and movement combination

Abstract

The invention provides a porous medium fire parameter measurement system and method based on fixation and movement combination, and the system comprises a data information processing module. The system comprises a data information storage module, a fire source identification and positioning algorithm detection module, a 5G communication module, a power supply device, a fire water monitor device, a mobile device, an alarm device, a camera device, a thermocouple, a temperature sensing cable and a gas sensor. The data information processing module, the data information storage module, the fire source identification and positioning algorithm detection module, the 5G communication module, the power supply device, the mobile device and the camera device are arranged in an industrial personal computer, and the output of the industrial personal computer controls the fire water monitor device and the alarm device. According to the invention, real-time fire measurement based on fixed and mobile combination is realized, multi-source data are fused based on a deep learning algorithm, then fire identification and positioning are realized, and the method has the advantages of high test precision, simple operation and the like.

Description

Technical Field

[0001] The present invention belongs to the field of design safety, and in particular relates to a porous medium fire parameter measurement system and method based on solid-movement combination. Background Art

[0002] The fire and explosion accident of oil-filled equipment in the substation is the most serious power disaster. Once a fire or even an explosion occurs, it often causes casualties and huge economic losses, and also seriously affects the operation of the power grid. The substation voltage level is different, and the scale of the oil-filled equipment in the station is quite different, and the fire development mode and danger level are also different. There are oil-filled equipment of different scales such as transformers, mutual inductors and capacitors in the substation. Fire investigation and experimental research show that transformer oil fire is a high-intensity turbulent combustion phenomenon, which has transient high-energy characteristics in the early stage and presents hidden, three-dimensional and multi-scale characteristics when fully burned. The main forms of combustion are jet fire, oil pool fire, flowing fire, etc., which bring great difficulties to fire detection and control. In the face of complex substation oil-filled equipment fires, intelligent image recognition technology can be used to classify fire patterns, and multi-source and heterogeneous fire information fusion technology such as temperature, gas and image can be used to detect fires earlier and reduce false alarms. Summary of the invention

[0003] In order to solve the deficiencies in the prior art, the present invention provides a porous medium fire parameter measurement system and method based on fixed-mobile combination, which realizes real-time fire measurement based on fixed-mobile combination, fuses multi-source data based on deep learning algorithm, and then realizes fire identification and positioning, which has the advantages of high test accuracy and simple operation. The present invention aims to provide a smart fire test platform that can be applied to the complex environment of substations, and provide a more accurate flame identification and positioning method to adapt to the development trend of digitalization, networking and integration of substation systems.

[0004] The present invention adopts the following technical solution.

[0005] The present invention provides a porous medium fire parameter measurement system based on solid-movable combination, which is characterized by comprising:

[0006] Data information processing module, data information storage module, fire source identification and positioning algorithm detection module, 5G communication module, power supply device, fire water cannon device, mobile device, alarm device, camera device, thermocouple, temperature sensing cable and gas sensor;

[0007] The data information processing module, data information storage module, fire source identification and positioning algorithm detection module, 5G communication module, power supply device, mobile device and camera device are placed in an industrial computer, and the industrial computer output controls the fire water monitor device and the alarm device;

[0008] The thermocouple and temperature sensing cable are used to monitor the temperature of the environment to be measured, and the gas sensor is used to monitor the gas composition and content in the environment to be measured;

[0009] The data information processing module is used to receive environmental monitoring information, process whether there is a fire in the environment and the fire condition, generate corresponding fire fighting strategies, and send the strategies to mobile devices, fire water cannon devices and alarm devices for execution.

[0010] Preferably, the data information processing module constructs a Segformer-BMDA model, introduces a DenseASPP module on the connection channel between the four different resolution feature maps of 1 / 4, 1 / 8, 1 / 16, and 1 / 32 in the Encoder encoding stage and the MLP Layer, obtains the Boundary GT mask by preprocessing the data, and adds the designed Boundary Module module to the MLP output decoded by the Decoder, and introduces a loss function for edge detection as supervision information.

[0011] Preferably, the fire source identification and positioning algorithm detection module is used to extract flame image feature points in real time and complete the real-time conversion of the fire source in the image and real-scene coordinates. The fire source identification and positioning module is connected to the data information processing module and the data information storage module.

[0012] Preferably, the fire water monitor can automatically spray water in a direct current column or spray pattern according to the distance of the fire point, and has on-site manual operation control and image display functions; it can be forcibly started to detect the fire source according to the linkage signal of other fire alarm systems, and uses infrared dual-band detection technology to detect the fire source.

[0013] Preferably, the mobile device adopts a wheeled mobile structure, including two front universal wheels that provide support and assist driving and steering, and two rear drive wheels that are controlled by a drive motor. During operation, the position information difference is detected based on the SLAM algorithm to achieve parking, turning, speed regulation and posture adjustment.

[0014] Preferably, the fire water monitor has three control modes: local control, remote manual control and automatic control;

[0015] The local control is deployed on the control workbench in the system detection area. The operation table includes a remote control joystick, a power switch button, a fire monitor emergency stop button, up / down, left / right control joysticks, left / right automatic buttons, left / right travel speed knobs, up / down automatic buttons, and up / down travel speed knobs.

[0016] Remote manual control includes that after the alarm device sounds an alarm, the remote operator can press the "remote control" button on the system main interface to remotely and manually control the fire monitor;

[0017] The automatic control runs 24 hours a day, monitors the operating environment in real time, and automatically extinguishes fires when there is a fire.

[0018] Preferably, the fire source identification and positioning algorithm detection module is composed of a Raspberry Pi microcomputer, into which the fire identification and positioning algorithm to be detected is placed. The development version has the following CPU attributes: VideoCore, speed 900MHz, core number 4, storage interface, microSD.

[0019] The present invention also provides a method for measuring porous medium fire parameters based on the combination of fixed and mobile, the method being a method for using the aforementioned porous medium fire parameter measurement system based on the combination of fixed and mobile, comprising:

[0020] Step 1, receiving the ambient temperature change value through the 5G communication module, if the ambient temperature change value is higher than the set threshold, executing step 2;

[0021] Step 2: The data information processing module processes the temperature signal, determines the abnormal temperature location, sends the signal to the mobile device, and the mobile device moves to the abnormal temperature location;

[0022] Step 3, using the fire source identification and positioning algorithm detection module to detect whether a flame is generated, if a flame is generated, executing step 4; if no flame is generated, executing step 5;

[0023] Step 4: Alarm and notify the substation attendant, and start the fire water monitor to carry out fire fighting operations;

[0024] Step 5: Alarm and notify the substation attendant to check the cause of the abnormal temperature.

[0025] The present invention also provides a terminal, including a processor and a storage medium; the characteristics are:

[0026] The storage medium is used to store instructions;

[0027] The processor is configured to operate according to the instructions to execute the steps according to the aforementioned method.

[0028] The present invention also provides a computer-readable storage medium on which a computer program is stored, characterized in that the program implements the steps of the above method when executed by a processor.

[0029] The beneficial effect of the present invention is that, compared with the prior art, the present invention can be applied to the detection of substation fire identification and positioning algorithms, and to evaluate the accuracy and effectiveness of the algorithms. In order to adapt to the development trend of digitalization, networking, and integration of modern unmanned substation monitoring systems, the present invention discloses a fire parameter measurement and monitoring device based on data fusion that combines fixed and mobile types for transformer fire identification and positioning, so as to solve the limitations of the prior art. The technology involved in this patent has broad application prospects in the fields of flame monitoring, fire safety, etc. Through real-time monitoring of fixed and mobile combined fire parameter data fusion, the early warning and monitoring capabilities of fires can be effectively improved, the occurrence and spread of fires can be avoided, and the safety of personnel and property can be guaranteed. At the same time, this technology can also be applied to flame detection, combustion analysis, and other aspects in the industrial field, and has broad market and application value. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] Figure 1 It is a structural schematic diagram of a porous medium fire parameter measurement system based on solid-movement combination in the present invention;

[0031] Figure 2 It is a schematic diagram of the structure of the improved Segformer model in the present invention;

[0032] Figure 3 It is a schematic diagram of the automatic fire extinguishing device in the present invention;

[0033] Figure 4 It is a schematic diagram of the automatic control logic flow in the present invention. DETAILED DESCRIPTION

[0034] In order to make the purpose, technical scheme and advantages of the present invention clearer, the technical scheme of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. The embodiments described in this application are only part of the embodiments of the present invention, not all of them. Based on the spirit of the present invention, other embodiments obtained by ordinary technicians in this field without creative work are all within the scope of protection of the present invention.

[0035] like Figure 1 As shown, embodiment 1 of the present invention provides a porous medium fire parameter measurement system based on solid-movable combination, comprising:

[0036] Data information processing module, data information storage module, fire source identification and positioning algorithm detection module, 5G communication module, power supply device, fire water cannon device, mobile device, alarm device, camera device, radar device.

[0037] The data information processing module, data information storage module, fire source identification and positioning algorithm detection module, and 5G communication module are placed in an industrial computer, and the industrial computer outputs control the fire water cannon device, mobile device, alarm device, and camera device.

[0038] like Figure 2 As shown in the figure, the data information processing module has tried the fire perception results of single parameters such as temperature, heat flow and image, as well as the fire perception results of the data fusion algorithm. It is determined that the data fusion algorithm model is advanced in the perception of porous media fire infiltrated by transformer leakage oil. Comparative experiments were conducted in several models including UNet, HRNet, PSPNet, DeepLabV3+, and Segformer. After comprehensive consideration of the performance of each model, the Segformer model was selected. However, the accuracy of the Segformer model in extracting the boundaries of flames and smoke needs to be improved. In order to further improve the accuracy of flame and smoke segmentation of power cable fires, a certain degree of improvement is made on the lightweight and efficient Segformer semantic segmentation model. The improved model is called the Segformer-BMDA model. The DenseASPP module is introduced in the connection channel between the four different resolution feature maps of 1 / 4, 1 / 8, 1 / 16, and 1 / 32 in the Encoder encoding stage and the MLP Layer to increase the receptive field. By using the multi-scale feature fusion method, the feature information of different scales is combined to enhance the perception of the object boundary, so that the model can capture contextual information of different scales. Because the boundary information of the target area is much smaller than the overall predicted information, in order to prevent the boundary prediction from being misled by too much irrelevant information, the Boundary GT mask is obtained by preprocessing the data. The model adds the designed Boundary Module module to the MLP output decoded by the Decoder to strengthen the learning of the flame and smoke boundaries. By introducing the loss function for edge detection as supervision information, the model pays more attention to the accuracy of the boundary area during the training process.

[0039] The fire source identification and positioning algorithm detection module can extract the characteristic points of the flame image in real time, complete the real-time conversion of the fire source between the image and the real scene coordinates, and realize the accurate fire source positioning function of different combustion forms of the substation oil filling equipment fire. The fire source identification and positioning module is connected to the data information processing module and the data information storage module.

[0040] The 5G communication module is used to connect data acquisition equipment such as thermocouples, temperature sensing cables, gas sensors, etc. in the substation. The 5G communication module is connected to the data information processing module and the data information storage module.

[0041] The mobile device is characterized in that it can overcome the strong magnetic interference environment of the substation and realize global optimal path planning and local obstacle avoidance path planning; it is linked to the fire source identification and positioning module to realize automatic navigation to the target location; the mobile device is connected to the data information processing module.

[0042] like Figure 3 As shown, the automatic fire extinguishing device includes a fire monitor and an alarm device.

[0043] The automatic fire extinguishing device consists of a PLC controller, an angular displacement sensor and a fire monitor. By receiving information from the digital information processing module and using the pre-programmed PLC control logic, the control signal is output to drive the external load and adjust the elevation angle of the fire monitor to achieve fire extinguishing operations.

[0044] Fire water monitor performance: Fire water monitor can automatically spray water in a direct current column or spray pattern according to the distance of the fire point, effectively extinguishing the fire while protecting the safety of people and property; it has on-site manual operation control and image display functions; it can be forced to start detecting the fire source according to the linkage signal of other fire alarm systems, such as the alarm device in the present invention, which includes an internal alarm device and an alarm device that may be installed in the application site; it uses infrared dual-band detection technology to effectively detect the fire source while improving the ability to resist environmental interference; and it can set and debug ground sensitivity parameters. Optimal technical parameters: flow rate 20-40L / S, range ≥40m, working pressure 0.8-1.4Mpa.

[0045] The control of the fire monitor is carried out after the host computer detects and identifies the occurrence of fire and issues instructions. This study sets up three control methods for fire monitors: local control, remote manual control, and automatic control.

[0046] Local control is deployed on the control workbench in the system detection area. The operation table includes the distance control joystick, power switch button, fire monitor emergency stop button, up / down / left / right control joystick, left / right automatic button, left / right travel speed knob, up / down automatic button and up / down travel speed knob. Once a fire alarm occurs, on-site staff can operate the local operation table according to the on-site fire situation to adjust the direction of the fire monitor to extinguish the fire in time.

[0047] Set up remote control for remote monitoring personnel to extinguish fires in time. Remote control has the advantages of improving efficiency, enhancing flexibility, improving safety and facilitating control. Remote control can not only ensure the safety of personnel, but also accurately control and extinguish fires. When the fire alarm sounds an alarm, the remote operator can press the "Remote Control" button on the main page, and then enter the remote control interface to control the fire monitor.

[0048] like Figure 4As shown in the figure, in order to improve the intelligence level of the system, an automatic control mode is also set. The automatic control mode can run stably and uninterruptedly for 24 hours, monitor the operating environment in real time, and promptly detect and correct abnormalities, thereby improving the reliability of equipment and production lines. The automatic control system can replace human operation in fire-hazardous situations, thereby avoiding the dangers that humans may face when extinguishing fires at the fire scene and improving the safety of the firefighting process. In order to reduce the possibility of erroneous fire extinguishing actions caused by misidentification of fires, an action logic is set for automatic control.

[0049] The mobile device adopts a wheeled mobile structure, which includes two front universal wheels, which support and assist driving and steering, and two rear drive wheels, which are controlled by a drive motor. During operation, based on the SLAM detection of position information differences, functions such as parking, turning, speed regulation, and posture adjustment are realized to meet the operation requirements. The mobile device has a stable and accurate robot navigation and positioning system. It includes global optimal path planning and local obstacle avoidance path planning. SLAM positioning is mainly used to control the operation error within ±2cm. This positioning method has the advantages of high reliability and strong anti-interference ability, and is suitable for the complex environment of strong electromagnetic interference in substations. A working path with the least turns, shortest path, and comprehensive optimization can be planned.

[0050] The strong electromagnetic complex environment of the substation makes the communication often interfered by various background noises or co-frequency signals, so the communication module must have the characteristics of strong anti-interference ability and long transmission distance. Industrial Ethernet, CAN bus, RS485 bus and RS232 serial communication are used between the internal modules. The communication with the sensor adopts the 5G self-organizing network mode, which is realized through an outdoor long-distance high-power wireless bridge. The maximum transmission distance can reach 30km in the suburbs without obstruction. By fusing multiple sensor data and realizing local intelligent judgment in the information processing module, when the data exceeds the normal range, the front-end system immediately starts the mobile device, and at the same time performs data diagnosis and early warning release to accurately reach the fault point.

[0051] The fire identification and location algorithm detection module is composed of a Raspberry Pi microcomputer, into which the fire identification and location algorithm to be detected can be placed. The module is connected to the experimental platform to perform algorithm validity detection. Development version properties CPU: -A7, VideoCore, speed 900MHz, core count 4, storage interface, microSD.

[0052] Embodiment 2 of the present invention provides a porous medium fire parameter measurement system and method based on solid-movable combination, comprising the following steps:

[0053] Step 1, receiving the ambient temperature change value through the 5G communication module, if the ambient temperature change value is higher than the set threshold, executing step 2;

[0054] Step 2: The data information processing module processes the temperature signal, determines the abnormal temperature location, sends the signal to the mobile device, and the mobile device moves to the abnormal temperature location;

[0055] Step 3, using the fire source identification and positioning algorithm detection module to detect whether a flame is generated, if a flame is generated, executing step 4; if no flame is generated, executing step 5;

[0056] Step 4: Alarm and notify the substation attendant, and start the fire water monitor to carry out fire fighting operations;

[0057] When the user clicks the "Automatic Control" button on the main page, the system will automatically control the fire monitor to perform fire extinguishing actions. When the system detects the real-time monitoring screen, if the detection does not detect flames or smoke, the system will not issue any instructions; if flames or smoke are detected, the system will issue instructions to the alarm to alarm, and determine whether flames and smoke are detected at the same time. If both are detected at the same time, an instruction is issued to the PLC controller; if only one of smoke or flame is detected, it is determined whether the area is the same for 10 consecutive frames. Since flames and smoke are both fluids after a fire occurs, and the flames will continue to flicker and shake during the burning process, if the areas are the same, it may be that the algorithm misidentifies the surrounding similar background colors; if the areas are not the same, it is determined that a fire has occurred, and an instruction is issued to the PLC controller, and then the PLC issues an instruction to the relay for power distribution, and finally the direction of the fire monitor is controlled according to the relay power distribution to perform fire extinguishing actions.

[0058] Step 5: Alarm and notify the on-duty personnel in the substation to check the cause of the abnormal temperature.

[0059] The automatic fire-fighting extinguishing device is characterized in that it can automatically aim at and calibrate the location of the fire source and automatically carry out fire-fighting operations based on image recognition technology and fire source positioning information.

[0060] S4: Based on the three-dimensional coordinates of different types of fire sources in real scenes formed by fire identification and positioning algorithms, a fire extinguishing strategy is generated, and the pre-programmed program is activated according to the size and number of flames to output and open the fire water monitor;

[0061] The beneficial effect of the present invention is that, compared with the prior art, the present invention can be applied to the detection of substation fire identification and positioning algorithms, and to evaluate the accuracy and effectiveness of the algorithms. In order to adapt to the development trend of digitalization, networking, and integration of modern unmanned substation monitoring systems, the present invention discloses a fire parameter measurement and monitoring device based on data fusion that combines fixed and mobile types for transformer fire identification and positioning, so as to solve the limitations of the prior art. The technology involved in this patent has broad application prospects in the fields of flame monitoring, fire safety, etc. Through real-time monitoring of fixed and mobile combined fire parameter data fusion, the early warning and monitoring capabilities of fires can be effectively improved, the occurrence and spread of fires can be avoided, and the safety of personnel and property can be guaranteed. At the same time, this technology can also be applied to flame detection, combustion analysis, and other aspects in the industrial field, and has broad market and application value.

[0062] The present disclosure may be a system, a method and / or a computer program product. The computer program product may include a computer-readable storage medium carrying computer-readable program instructions for causing a processor to implement various aspects of the present disclosure.

[0063] A computer-readable storage medium may be a tangible device that can hold and store instructions used by an instruction execution device. A computer-readable storage medium may be, for example, but not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples of computer-readable storage media (a non-exhaustive list) include: a portable computer disk, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a static random access memory (SRAM), a portable compact disk read-only memory (CD-ROM), a digital versatile disk (DVD), a memory stick, a floppy disk, a mechanical encoding device, such as a punch card or a raised structure in a groove on which instructions are stored, and any suitable combination of the foregoing. As used herein, a computer-readable storage medium is not to be interpreted as a transient signal per se, such as a radio wave or other freely propagating electromagnetic wave, an electromagnetic wave propagating through a waveguide or other transmission medium (e.g., a light pulse through a fiber optic cable), or an electrical signal transmitted through a wire.

[0064] The computer-readable program instructions described herein can be downloaded from a computer-readable storage medium to each computing / processing device, or downloaded to an external computer or external storage device via a network, such as the Internet, a local area network, a wide area network, and / or a wireless network. The network can include copper transmission cables, optical fiber transmissions, wireless transmissions, routers, firewalls, switches, gateway computers, and / or edge servers. The network adapter card or network interface in each computing / processing device receives the computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in the computer-readable storage medium in each computing / processing device.

[0065] The computer program instructions for performing the operation of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source code or object code written in any combination of one or more programming languages, including object-oriented programming languages, such as Smalltalk, C++, etc., and conventional procedural programming languages, such as "C" language or similar programming languages. Computer-readable program instructions may be executed completely on a user's computer, partially on a user's computer, as an independent software package, partially on a user's computer, partially on a remote computer, or completely on a remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer via any type of network, including a local area network (LAN) or a wide area network (WAN), or may be connected to an external computer (e.g., using an Internet service provider to connect via the Internet). In some embodiments, an electronic circuit, such as a programmable logic circuit, a field programmable gate array (FPGA), or a programmable logic array (PLA), may be customized by utilizing the state information of the computer-readable program instructions, and the electronic circuit may execute the computer-readable program instructions, thereby realizing various aspects of the present disclosure.

[0066] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention rather than to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the relevant field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents, and any modifications or equivalent replacements that do not depart from the spirit and scope of the present invention should be covered within the scope of protection of the claims of the present invention.

Claims

1. A porous medium fire parameter measurement system based on solid-movable combination, characterized in that: include: Data information processing module, data information storage module, fire source identification and positioning algorithm detection module, 5G communication module, power supply device, fire water cannon device, mobile device, alarm device, camera device, thermocouple, temperature sensing cable and gas sensor; The data information processing module, data information storage module, fire source identification and positioning algorithm detection module, 5G communication module, power supply device, mobile device and camera device are placed in an industrial computer, and the industrial computer output controls the fire water monitor device and the alarm device; The thermocouple and temperature sensing cable are used to monitor the temperature of the environment to be measured, and the gas sensor is used to monitor the gas composition and content in the environment to be measured; The data information processing module is used to receive environmental monitoring information, process whether there is a fire in the environment and the fire condition, generate corresponding fire fighting strategies, and send the strategies to mobile devices, fire water cannon devices and alarm devices for execution.

2. A porous medium fire parameter measurement system based on solid-movable combination according to claim 1, characterized in that: The data information processing module constructs a Segformer-BMDA model, introduces a DenseASPP module in the connection channel between the four feature maps of different resolutions of 1 / 4, 1 / 8, 1 / 16, and 1 / 32 in the Encoder encoding stage and the MLP Layer, obtains the Boundary GT mask by preprocessing the data, adds the designed BoundaryModule module to the MLP output decoded by the Decoder, and introduces a loss function for edge detection as supervision information.

3. The porous medium fire parameter measurement system based on solid-movable combination according to claim 2 is characterized by: The fire source identification and positioning algorithm detection module is used to extract flame image feature points in real time and complete the real-time conversion of the fire source between the image and the real scene coordinates. The fire source identification and positioning module is connected to the data information processing module and the data information storage module.

4. The porous medium fire parameter measurement system based on solid-movable combination according to claim 3 is characterized by: The fire-fighting water monitor can automatically spray water in a direct current column or spray pattern according to the distance of the fire point, and has on-site manual operation control and image display functions; it can be forcibly started to detect the fire source according to the linkage signal of other fire alarm systems, and uses infrared dual-band detection technology to detect the fire source.

5. The porous medium fire parameter measurement system based on solid-movable combination according to claim 4 is characterized in that: The mobile device adopts a wheeled mobile structure, including two front universal wheels that support and assist driving and steering, and two rear drive wheels that are controlled by a drive motor. During operation, the position information difference is detected based on the SLAM algorithm to achieve parking, turning, speed regulation and posture adjustment.

6. The porous medium fire parameter measurement system based on solid-movable combination according to claim 5 is characterized by: The fire water monitor has three control modes: local control, remote manual control and automatic control; The local control is deployed on the control workbench in the system detection area. The operation table includes a remote control joystick, a power switch button, a fire monitor emergency stop button, up / down, left / right control joysticks, left / right automatic buttons, left / right travel speed knobs, up / down automatic buttons, and up / down travel speed knobs. Remote manual control includes that after the alarm device sounds an alarm, the remote operator can press the "remote control" button on the system main interface to remotely and manually control the fire monitor; The automatic control runs 24 hours a day, monitors the operating environment in real time, and automatically extinguishes fires when there is a fire.

7. The porous medium fire parameter measurement system based on solid-movable combination according to claim 6 is characterized by: The fire source identification and positioning algorithm detection module is composed of a Raspberry Pi microcomputer, into which the fire identification and positioning algorithm to be detected is placed. The development version has the following CPU attributes: -A7, VideoCore, speed 900MHz, core count 4, storage interface, microSD.

8. A method for measuring fire parameters of porous media based on the combination of fixed and mobile, the method being a method for using a porous media fire parameter measurement system based on the combination of fixed and mobile as claimed in any one of claims 1 to 7, characterized in that: include: Step 1, receiving the ambient temperature change value through the 5G communication module, if the ambient temperature change value is higher than the set threshold, executing step 2; Step 2: The data information processing module processes the temperature signal, determines the abnormal temperature location, sends the signal to the mobile device, and the mobile device moves to the abnormal temperature location; Step 3, using the fire source identification and positioning algorithm detection module to detect whether a flame is generated, if a flame is generated, executing step 4; if no flame is generated, executing step 5; Step 4: Alarm and notify the substation attendant, and start the fire water monitor to carry out fire fighting operations; Step 5: Alarm and notify the substation attendant to check the cause of the abnormal temperature.

9. A terminal comprising a processor and a storage medium; characterized in that: The storage medium is used to store instructions; The processor is configured to operate according to the instructions to execute the steps of the method according to any one of claims 1-8.

10. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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