766 results about "Fire prevention" patented technology

The invention discloses a fire prevention and control method and system for battery energy storage equipment. The method comprises the following steps: collecting real-time fire characteristic parameters of the battery energy storage equipment; based on the real-time fire characteristic parameters and a preset fire control strategy, making a fire control decision and generating a fire control instruction; obtaining effect feedback after the fire-fighting instruction is executed; based on the real-time fire characteristic parameters and effect feedback, optimizing and updating a fire-fighting strategy; and applying the optimized and updated fire-fighting strategy to a subsequent fire-fighting decision of the battery energy storage equipment. According to the method, through real-time monitoring, digital twinborn simulation and a closed-loop optimization mechanism, the accuracy and adaptive capacity of fire prevention and control of the battery energy storage equipment are remarkably improved, dynamic adjustment and low-risk verification of a fire-fighting strategy are achieved, and safety and reliability are effectively enhanced.

The invention relates to the technical field of forest fire monitoring and power grid safety prevention and control, and discloses a fire scene spreading time sequence reconstruction method based on Doppler weather radar mountain fire echoes, which comprises the following steps: acquiring original data of the Doppler weather radar mountain fire echoes and carrying out quality control processing to obtain radar echo data; performing automatic segmentation of a smoke plume area on radar echo data by adopting an optimized Otsu-Unet network model, and extracting a centroid coordinate of a mountain fire echo area; a Kalman filtering algorithm is used and combined with external three-dimensional wind field data to predict a future motion trend of centroid coordinates of a forest fire echo region so as to reconstruct a continuous fire scene spreading time sequence voxel sequence; performing 3DTiles slicing processing on the fire scene spreading time sequence voxel sequence, and performing real-time rendering display on a power grid monitoring platform by using a WebGL technology; and obtaining an external expansion boundary of fire scene spreading based on the fire scene spreading time sequence voxel sequence, and calculating the distance between the external expansion boundary and the power transmission line GIS data in real time. The fire prevention and control capability of the power transmission line of the power grid is improved.

The invention discloses a safety and disinfection integrated system based on AI analysis linkage control electromagnetic valves, and relates to the technical field of intelligent fire fighting, and the safety and disinfection integrated system comprises a flame detection camera, a network input and output module, a safety and disinfection integrated machine, an execution module and an acousto-optic alarm bell. According to the security and disinfection integrated system for linkage control of the electromagnetic valve based on AI analysis, the advanced AI visual recognition technology and an electromagnetic valve linkage control mechanism are deeply fused, the efficiency and the precision degree of fire safety management are greatly improved, flame characteristics are precisely recognized by means of a deep learning model, and the safety and disinfection effect is improved. The limitation that traditional fire behavior detection is easily influenced by environmental factors is broken through, the accuracy and reliability of fire behavior recognition are greatly enhanced, the system supports multi-modal data fusion, the confidence coefficient of fire behavior judgment is further improved, adjacent electromagnetic valves can be automatically started according to the position of a fire behavior in the linkage control link, an effective fire extinguishing isolation belt is constructed, and the fire extinguishing efficiency is improved. And fire spreading is effectively restrained.

The invention discloses a community fire risk dynamic assessment method and system based on AI prediction, and belongs to the technical field of fire prevention and control, and the method comprises the steps: S1, collecting and preprocessing multi-source data of a community, and constructing a comprehensive risk factor database; s2, constructing a risk prediction model, taking the preprocessed multi-source data as input, identifying a key risk factor, and outputting a fire risk probability; s3, calculating the dynamic weight of each index by fusing the static expert experience and the real-time risk contribution degree; s4, based on the dynamic weight and the risk probability, calculating a comprehensive risk value and dividing risk levels; s5, constructing a prevention and control strategy library based on the risk level and the key risk factor; according to the community fire risk dynamic assessment method and system based on AI prediction, the change rule of the fire risk factors in the community can be captured in real time, potential fire hazards can be predicted in advance, and a targeted prevention and control strategy can be automatically generated.

The invention relates to the technical field of fire prevention, and discloses a high-and-low-voltage power distribution room fire prevention early warning system based on potassium ion aerosol fire extinguishing, which comprises a smoke fire detection module used for detecting fire related data inside and outside a high-and-low-voltage power distribution room; the fire related data comprises smoke data and temperature data; the comprehensive evaluation module is used for judging whether an adopted evaluation model is a temperature evaluation model or a smoke evaluation model according to the fire related data; the fireproof grade classification module is used for grading fireproof grades in the high and low voltage power distribution room according to the screened evaluation model; the fire prevention measure implementation module is used for starting the potassium ion aerial fog fire extinguishing equipment in the corresponding fire prevention subareas to extinguish fire according to different grades; the electrical characteristic monitoring module is used for monitoring the load current and arc signal intensity of electrical equipment in the high-low voltage power distribution room and the temperature change rate of key nodes in real time; according to the invention, multi-dimensional accurate monitoring and graded prevention and control of the fire risk of the high and low voltage power distribution room are realized.

The invention relates to the technical field of electrical fire intelligent early warning, in particular to an electrical fire intelligent early warning and handling method based on multi-source data fusion, which comprises a data acquisition system, and the output end of the data acquisition system is connected with a multi-source data fusion platform. The output end of the multi-source data fusion platform is provided with an intelligent analysis and early warning system, the output end of the intelligent analysis and early warning system is provided with a disposal decision system, the output end of the disposal decision system is provided with a feedback optimization system, and the multi-source data fusion platform, the intelligent analysis and early warning system, the disposal decision system and the feedback optimization system are integrated. The processing decision-making system and the feedback optimization system are both in communication connection with the data acquisition system. According to the invention, through the data acquisition-fusion analysis-intelligent early warning-decision processing-feedback optimization closed-loop system, the whole-process intelligent management of electrical fire prevention and control is realized, the cooperation work of each component breaks through the limitation of single parameter monitoring, and the three-dimensional acquisition of video data provides multi-dimensional data support for fire hazard identification.

The invention relates to the technical field of fire detection, in particular to a photovoltaic power station outdoor fireproof monitoring method and system, and the method comprises the following steps: obtaining a multi-source time record, screening a synchronous window, extracting gray scale distribution, forming a connected heat domain fragment, generating a survival span structure according to a gray scale sequence, and recognizing the position of a heat source based on coordinate aggregation. And generating a fire source correlation judgment structure in combination with thermal change and electrical change trends. According to the method, the cross-source synchronous window is established in the time dimension to realize matching of multi-source data in a continuous interval, so that thermal image change and electrical change are analyzed under the same time reference, and thermal domain connectivity, coverage form and gray evolutionary structure are refined in the space dimension, so that the thermal image change and the electrical change are analyzed. By introducing time consistency analysis of thermal characteristics and electrical increment trends into correlation judgment, a monitoring result is changed from static threshold judgment to dynamic recognition based on time-space consistency, and the accuracy and reliability of photovoltaic scene fire source recognition are remarkably improved.

The invention designs an environment-friendly blowout device suitable for a high-salinity gas well, and belongs to the technical field of unconventional petroleum and natural gas extraction. The device comprises a two-stage concentric liquid remover and a combustion purification system which are connected in sequence. The two-stage concentric liquid remover realizes efficient separation of gas, liquid and solid phases through two-stage centrifugal separation. And a self-adaptive liquid discharge and gas control mechanism is arranged at the bottom of the two-stage concentric liquid remover, so that flow fluctuation self-adaptive sealing can be realized. Pretreated gas enters a combustion tank, is discharged through a torch pipe and is ignited, and generated combustion gas and solid particles are sprayed and purified in all directions and sprayed liquid is recycled through a spraying and recycling device above the combustion gas and the solid particles. The device integrates multiple technical functions such as buffering and pressure stabilizing, multi-phase separation, all-directional spraying purification, fire-liquid isolation, flow fluctuation self-adaption, automatic sealing, explosion prevention and fire retardance, the three-phase separation efficiency is remarkably improved, salting-out particles entering the environment are reduced, and equipment and technical supports are provided for green development of a hypersalinity gas well.

The invention relates to an intelligent fire prevention method and system for a charging pile in the technical field of new-generation information, and the method comprises the steps: carrying out the dividing of a heat region through a heat grouping method according to an internal heat distribution diagram of the charging pile, and recognizing a high-heat-density region from a dividing result based on density and distance standards, and determining a potential overheating risk region position; the temperature change trend is monitored from the balanced heat state, the trend reflects temperature fluctuation on a time sequence, the trend is analyzed through an anomaly recognition model, and whether a fire early warning sign exists or not is judged; according to the targeted fire extinguishing operation process, inert gas is injected into the sealed environment of the charging pile to suppress the fire behavior, gas concentration distribution data is fed back in real time, and fire source suppression effect confirmation information is obtained; and analyzing the residual heat condition from the fire source inhibition effect confirmation information, and if the residual heat exceeds a preset threshold range, calling a heat management control unit to carry out cooling treatment to obtain a stable operation state.

The invention discloses an infrared thermal imaging fireproof early warning method based on a gradient algorithm, and the method comprises the steps: collecting an infrared image sequence of a monitoring region through an infrared thermal imager, and constructing temperature field data; preprocessing the temperature field data; analyzing dynamic change characteristics of the temperature field by adopting a space-time gradient algorithm; establishing an anomaly identification model based on the multi-level gradient threshold and the temperature change trend; generating early warning information according to the abnormal recognition result; and outputting early warning information and triggering corresponding early warning measures. According to the invention, fire danger hidden dangers can be found early, abnormal areas can be accurately identified, the false alarm rate is effectively reduced, and the method is suitable for fire early warning in storage, industrial places, power equipment, forest fire prevention and other scenes.

The invention belongs to the technical field of power equipment, and discloses an internal fire prevention and spontaneous combustion prevention integrated energy-saving power distribution control cabinet which comprises a power distribution cabinet, a sealing door and ventilation openings formed in the power distribution cabinet at equal intervals, and further comprises a pressure box installed at the top of a cavity of the power distribution cabinet and used for storing carbon dioxide, and an infrared flame detector and a visual sensor are fixedly mounted at the bottom of the pressure box. According to the scheme, when the infrared flame detector and the visual sensor are used for detecting that electric appliance elements in the power distribution cabinet are in fire, the electromagnet is powered off, the inner plate is pushed to move outwards under the action of pressure in the pressure box and the flow guide plate, and carbon dioxide sinks in the power distribution cabinet under the guidance of the inclined plane; and the carbon dioxide is adopted to replace a dry powder extinguishing agent, so that the protection effect of the device on electrical components in the power distribution cabinet is improved.

The invention discloses a forest fire early recognition and early warning system and method based on multi-source sensing and artificial intelligence, and belongs to the technical field of forest fire intelligent monitoring. The system comprises a gridding multi-source sensing deployment module, a multi-modal time sequence data collaborative acquisition module, a cross-modal feature coupling and state diagnosis module, a multi-source heterogeneous feature adaptive fusion and fire behavior identification module and an intelligent grading early warning and dynamic resource collaborative scheduling module. The method comprises the steps of heterogeneous grid division and sensing deployment, multi-modal time series data collaborative acquisition, cross-modal feature coupling analysis, multi-channel attention fusion recognition, and graded early warning and dynamic scheduling. Through multi-source data collaborative sensing, cross-modal feature coupling analysis, adaptive fusion recognition and intelligent scheduling response, accurate and rapid intelligent early warning of the early stage of the forest fire is realized, and the intelligent level and emergency response efficiency of forest fire prevention and control are significantly improved.

The invention discloses a smart forest fire prevention risk monitoring system based on digital twinning, and the system comprises an environment collection module which is used for collecting multi-source environment state data in a forest region, and constructing an environment state data set; the risk modeling module is used for inputting the environment state data set into the improved T-GNN model to generate a risk evolution trajectory sequence; the abrupt change recognition module is used for executing fuzzy segmentation operation and constructing an initial abrupt change point set; the early warning generation module is used for calculating the trigger frequency and the weighted score value of the abrupt change point, and screening and generating an early warning trigger point set; constructing a delay response index table; and the track calibration module is used for performing error evaluation and completing calibration operation. According to the method, accurate identification and dynamic early warning of the forest fire danger evolution trend can be realized, and the method has the advantages of timely response, controllable error, high robustness and the like, and is suitable for intelligent fire prevention application scenes in a complex forest environment.

A fire early warning method based on multi-source information fusion, a system, and a medium. The method comprises single vehicle model training, model deployment, fire risk assessment, BIM display and anomaly information notification. In the fire early warning method based on multi-source information fusion, the system, and the medium, a vehicle temperature fault mode can be quickly and accurately identified by performing deep fusion and model training on image and location and temperature information of the vehicle, thereby improving the accuracy of fire early warning; and multi-source information is acquired in real time, such that when over temperature occurs in the vehicle, workers can quickly localize the vehicle and the vicinity thereof, so that measures can be taken promptly for the over-temperature vehicle, thereby preventing the occurrence of fires or reducing the severity of fire damage, and providing strong support for fire prevention and control work. By establishing a bridge BIM model, a bridge fire risk map is displayed on a display device or a user terminal, and a command department, workers and drivers can quickly ascertain information regarding the location, cause, severity, and vehicle density of a current bridge fire by means of the bridge fire risk map; the system has high environment adaptability, fire risk assessment can be carried out in different environments, the decision-making efficiency of the command department is improved, the workers can quickly arrive at a rescue site to carry out firefighting and rescue operations, and drivers in low-risk areas can quickly evacuate from the bridge or assist the workers in evacuating others, thereby reducing casualties and economic losses caused by fires as much as possible.

The invention discloses a forest fire prevention decision support system based on a knowledge graph, and the system comprises the following modules: a multi-source heterogeneous data collection module which is used for synchronously collecting forest environment monitoring data; the forest situation knowledge graph construction module is used for performing cross-modal semantic fusion by using a graph attention network to generate a forest situation knowledge graph; the fire danger situation feature code extraction module is used for outputting forest fire danger situation feature codes based on a space-time diagram neural network; the fire evolution deduction map generation module introduces random noise by using a neural stochastic differential equation and outputs a fire evolution deduction map; the resource scheduling strategy generation module is used for generating an optimal resource scheduling strategy set based on the improved implicit quantile network model; and the visual decision support module is used for dynamically rendering and outputting a decision report on the three-dimensional digital twin map. According to the method, the fire evolution deduction precision and the decision robustness are improved.

The invention relates to the technical field of fire-fighting management, in particular to an intelligent fire-fighting closed-loop management method and system based on multistage early warning and six-stage linkage, and the method comprises the steps: firstly, obtaining multi-source sensing data, generating a comprehensive fire risk index through a fire risk analysis model, and achieving the precise risk assessment; a threshold value is dynamically adjusted by combining a real-time environment and a historical model so as to determine a multi-level early warning level, and intelligent and accurate early warning is ensured; starting a corresponding six-level linkage response scheme according to the early warning level, predicting a fire behavior and dynamically optimizing a response strategy according to a risk index change trend, and synchronizing an emergency decision and a real-time risk situation; and finally, a closed-loop management system integrating intelligent sensing, dynamic early warning, self-adaptive linkage and continuous optimization is formed by executing a feedback correction analysis model, and the fire prevention and control efficiency is comprehensively improved.

The invention discloses a coal mine goaf low-temperature nitrogen fire preventing and extinguishing technology integrating intelligent monitoring and control, and belongs to the technical field of coal mine goaf fire preventing and extinguishing. The system comprises a ground nitrogen making machine, a ground monitoring center, an underground nitrogen cooling device, an intelligent monitoring module and a PLC intelligent control module. The nitrogen cooling device comprises a plate heat exchanger, a variable-frequency single-screw compressor, an air-cooled condenser, a liquid storage tank and an electromagnetic control valve which are connected in sequence; the intelligent monitoring module comprises a sensor unit and a communication transmission module; the PLC intelligent control module comprises a core controller, a man-machine interaction unit and a remote transmission unit; and the PLC intelligent control module automatically controls the start and stop of the system according to a preset three-level fire prevention and extinguishing threshold value, and dynamically adjusts the cooling temperature and the refrigerating capacity. According to the invention, 'monitoring-regulation-feedback 'closed-loop intelligent control is realized, an efficient and safe fire prevention and extinguishing technical support is provided for a special mining period of a mine easy to spontaneously ignite, and the system adapts to an underground complex environment.

The invention relates to the technical field of forest fire prevention monitoring, and discloses an unmanned aerial vehicle forest fire prevention line patrol path optimization method comprising the following steps: S1, obtaining multi-source data of a forest area, the multi-source data comprising terrain elevation, vegetation coverage, historical fire danger points and real-time meteorological data; s2, constructing an initial line patrol path network based on the multi-source data, wherein the initial line patrol path network generates a tree topology structure by taking the key fire danger point as a center; and S3, optimizing the line patrol path by adopting a dynamic risk assessment model, wherein the dynamic risk assessment model is based on a tree topology structure. Key fire danger points are established through historical fire danger frequency and vegetation flammability classification, a tree topology path is generated by adopting a minimum spanning tree algorithm, the self-adaptive coverage density of a high-risk forest region is realized, the limitation of static uniform distribution of traditional grid line patrol is solved, and unmanned aerial vehicle line patrol resources dynamically incline towards the high-fire-danger region.

The utility model discloses a novel composite heat-insulating box board of an air-conditioning box, which belongs to the technical field of air-conditioning boxes and comprises an inner panel, an outer panel, a first frameless panel frame profile, a second frameless panel frame profile, a plurality of panel reinforcing ribs, a rock wool heat-insulating layer and a polyurethane heat-insulating layer. The inner panel is attached to the rock wool heat preservation layer, and the outer panel is attached to the polyurethane heat preservation layer. The inner layer is formed by combining the rock wool heat preservation layer with the inner panel, the outer layer is formed by combining the flame-retardant polyurethane heat preservation layer with the outer panel, the polyurethane heat preservation layer and the rock wool heat preservation layer are tightly combined and wrapped, and the panel reinforcing ribs are embedded inside, so that the panel strength is guaranteed, the outer surface is smooth, the sealing performance is high, and the interior can resist the high temperature of 90 DEG C or above; the whole meets the A-level fireproof requirement, and the installation efficiency is high.

The invention belongs to the field of satellite remote sensing fire monitoring, and discloses a satellite remote sensing forest fire initial fire point monitoring method, which comprises the following steps: acquiring satellite data as input data; reading the zenith angle of the sun in the satellite data, and judging the time period as a day time period, a night time period and a morning and night junction time period; the solar zenith angle, the sensor zenith angle and the like need to be read in daytime period data so as to filter solar flares; carrying out simple cloud detection on data in all time periods by utilizing 11-micron channel brightness temperature and 11-4-micron channel brightness temperature, expanding an adaptive window by taking a suspected initial fire point pixel as a center, and calculating 4-micron channel brightness temperature difference, 11-micron channel brightness temperature difference and 4-11-micron channel brightness temperature difference of a background pixel by utilizing a time sequence method; and counting the mean value and the standard deviation of the background pixels, and confirming and extracting a forecast initial fire point by using a normal distribution starting point algorithm. According to the method, the timeliness and accuracy of early warning of the fire disaster are improved, and important technical support is provided for forest fire prevention decision making.

The utility model discloses a fireproof self -cleaning gas ball valve, including the ball valve shell, the outer surface fixed mounting of ball valve shell has data processor, the upper surface fixed mounting of ball valve shell has the connecting seat, the upper surface fixed mounting of connecting seat has the connecting disc, the upper surface fixed mounting of connecting disc has electric drive part. The device can monitor the gas concentration in the air in real time through the gas sensor arranged on the monitoring branch plate, and the collected data can be transmitted to the data processor for analysis and processing. In addition, when the gas leaks, the flashing warning light is turned on and the voice broadcaster issues an alarm, which can remind the surrounding personnel on the spot. The wireless communication module can also send alarm information to the mobile terminal and the system terminal, which is convenient for relevant personnel to take timely measures and achieve the effect of pre-treatment fire prevention. The cleaning blade on the inner wall of the ball valve shell can contact the valve body when it rotates, and the outer surface of the valve body can be cleaned.

The invention relates to the technical field of LED displays, in particular to an intelligent LED display based on the Internet of Things, which comprises a shell, a display screen is detachably mounted on the front side of the shell, an air inlet is formed in one side, facing the road surface, of the shell, a dust removal mechanism is mounted in the air inlet, a photocatalysis mechanism is arranged above the dust removal mechanism, and the photocatalysis mechanism is arranged above the dust removal mechanism. And a condensation mechanism connected with the photocatalysis mechanism is arranged on one side of the photocatalysis mechanism, a heat dissipation mechanism is connected to the lower portion of one side of the condensation mechanism, and the heat dissipation mechanism comprises a cavity formed in the middle of the interior of the shell. According to the intelligent LED display screen, protection, purification, heat dissipation, fire prevention and insect pest control are integrated, and multi-dimensional optimization of the intelligent LED display screen of the bus station is achieved; through air purification and cyclic utilization, an automatic fireproof system and mosquito control, the service life of equipment is effectively prolonged, the operation stability is effectively improved, meanwhile, the comfort of passengers and the environment quality of a waiting area are improved, and the requirements for safety, environmental protection and humanization are met.

The utility model provides a kind of aluminium profile for building fire prevention, in the assembly process, end plate is connected together by each first screw rod and the outer wall of support cylinder sealing end. Support pipe is inserted in support cylinder, so that the bottom of support cylinder sealing end is abutted with the one end of support pipe. Inserting core column is inserted in support pipe, so that the one end of inserting core column passes through through hole and is abutted with end plate. Cover is covered in the open end of support cylinder, so that the one end of support pipe and inserting core column is abutted with the bottom of insertion slot. Every third screw rod is sequentially passed through a first threaded hole, a second threaded hole and a third threaded hole, and support cylinder, support pipe and inserting core column are connected together. The above-mentioned aluminium profile for building fire prevention is convenient to install and disassemble, whether support pipe and inserting core column are installed can be rotated according to the environment of application, so as to control the structural strength and structural stability of the aluminium profile for building fire prevention, avoid unnecessary resource waste problem.

The invention discloses a fireproof partition system, method and device of a rail vehicle energy storage system and a medium, relates to the technical field of rail traffic, and provides the fireproof partition system of the rail vehicle energy storage system in order to solve the problem that an effective fireproof scheme is lacked in a space-first application scene of the rail vehicle energy storage system at present. Fireproof protection of the energy storage system is achieved through the air door arranged at the ventilation and heat dissipation air opening of the energy storage system, and the air door and the energy storage system hardly occupy extra space. And closing control over the air door is fused with an original fault processing mechanism of the train, additional control module arrangement is omitted, and occupied space is further reduced. Therefore, the system provides an effective protection scheme for the fire prevention problem of the rail vehicle energy storage system in a scene with extremely limited space. The energy storage system can be additionally arranged on the railway vehicle on the premise that the requirement of the railway traffic for the fireproof safety level is guaranteed.

The invention discloses a coal mine fire risk evaluation method, system and device based on an AHP-FCE theory and a medium, and relates to the technical field of fire risk evaluation. The method comprises the following steps: constructing a fire risk evaluation index system; the fire risk evaluation index system comprises four first-level indexes and second-level indexes corresponding to the first-level indexes; calculating the weight of each corresponding index in the fire risk evaluation index system by adopting an analytic hierarchy process; and performing risk evaluation on the target coal mine according to a fuzzy comprehensive evaluation method and each index weight to obtain a fire risk evaluation value, and dividing fire risk grades according to the fire risk evaluation value. According to the method, the AHP and the FCE are combined, the advantages of the AHP and the FCE are brought into full play, and the scientific and reasonable mine fire risk evaluation model is constructed, so that a reference is provided for formulating the mine fire prevention and control investment cost.

The application discloses an automatic control method for fire prevention and extinguishment in a mine, which comprises the following steps: establishing an automatic control system for fire prevention and extinguishment, wherein the automatic control system for fire prevention and extinguishment comprises a nitrogen injection and grouting system, a control center and temperature sensors, oxygen concentration sensors and CO concentration sensors which are arranged in a continuous moving mode and follow a coal mining face, the temperature sensors, the oxygen concentration sensors and the CO concentration sensors are connected to the control center through a CAN data bus, the control center is connected to a nitrogen injection machine and a grouting machine of the nitrogen injection and grouting system through a PLC controller via the CAN data bus, the automatic control method for fire prevention and extinguishment is provided for unmanned operation mining of coal, and the method has the advantages of high practicability, convenient operation and safety. In the case of a spontaneous combustion sign, the method can remotely and quickly give a warning and take action to prevent a fire, the reaction time of the method is short, and the method can be completed in 5 minutes, all operations can be remotely performed, and the safety of personnel is ensured.

The invention relates to the technical field of cables, in particular to a mineral insulated fireproof cable and a take-up device matched with the mineral insulated fireproof cable for use, and the mineral insulated fireproof cable comprises a cable core, a shielding layer, an insulating layer, a fireproof aluminum tape, an insulating tape, a fireproof copper wire braid layer and an outer sheath. Comprising a take-up bottom frame, a take-up rotating column arranged on the take-up bottom frame, four limiting columns distributed in the circumferential direction with the take-up rotating column as the circle center, and a take-up top frame plate installed at the tops of the four limiting columns and matched with the take-up rotating column, and a take-up guide mechanism is arranged on the take-up bottom frame; and a driving mechanism connected with the take-up rotating column and the take-up guide mechanism is arranged at the bottom of the take-up bottom frame. According to the invention, through the arrangement of the insulating layer, the insulating tape, the fireproof aluminum tape and the fireproof copper wire braid layer, double insulation and double fire prevention are realized, and an integral aluminum pipe or copper pipe and mineral insulation are replaced, so that the cable is easy to bend and convenient to take up; and through the take-up device used in cooperation, the cable can be taken up quickly and conveniently.

The utility model provides a kind of noise reduction fire prevention fence of photovoltaic energy storage equipment, including multiple improved type enclosing mechanism;Improved type enclosing mechanism includes multiple side-by-side distribution support frame, and sound-absorbing board piece is assembled between adjacent support frame;Support frame includes first I type vertical steel frame and I type angle steel frame arranged at the top of first I type vertical, and the included angle of first I type vertical steel frame and I type angle steel frame is 120-135 °;Sound-absorbing board piece includes square frame body and sound-absorbing material filled in the inside of square frame body, and square frame body includes the inner side panel close to photovoltaic energy storage equipment, and multiple honeycomb holes are opened in the inner side panel through penetration.It is designed that the included angle of first I type vertical steel frame and I type angle steel frame of improved type enclosing mechanism is 120 °-135 °, and cooperate sound-absorbing board piece;Make sound wave multiple scattering after impact, reduce the noise peak of single direction strong reflection in sensitive area (such as residential area).

This invention relates to the field of cable monitoring technology, specifically disclosing a cable fire monitoring system and method based on distributed optical fiber sensing. The distributed optical fiber sensing unit is attached to the cable or its surroundings, simultaneously collecting temperature, vibration, and smoke signals and converting them into optical signals. After signal demodulation processing, an intelligent early warning and positioning unit, combined with algorithms, diagnoses the status and accurately locates the cable. A coordinated response unit automatically executes alarm, fire extinguishing, and power-off operations, while a remote monitoring unit enables multi-terminal visual control. This invention overcomes the limitations of single-parameter monitoring, offering high monitoring accuracy and fast response, effectively reducing false alarms and missed alarms. It is adaptable to various complex environments, possesses advantages such as high stability, low maintenance costs, and no need for on-site supervision, and can be widely applied to various cable fire monitoring scenarios to achieve early detection and early handling of potential hazards.

The utility model belongs to the technical field of coal mine disaster prevention and control, and particularly relates to a coal mine goaf disaster control system which comprises a discharge unit, an extraction unit, a fire preventing and extinguishing unit and a control unit. The discharging unit comprises a discharging pipeline, one end of an inlet of the discharging pipeline penetrates through the closed wall to enter the goaf, one end of an outlet of the discharging pipeline is connected with a check valve and arranged in the return airway, the extraction unit comprises an extraction pipeline, and one end of the extraction pipeline is connected with the discharging pipeline through a three-way valve. The other end is sequentially connected with the filter pump, the filter compressor and the storage part; the fire preventing and extinguishing unit comprises a nitrogen injection pipeline, one end of the nitrogen injection pipeline is connected with the nitrogen supply component, and the other end penetrates through the closed wall and is inserted into the goaf; the control unit comprises a processing module and a gas detection assembly and is used for work conversion among the discharging unit, the extraction unit and the fire preventing and extinguishing unit. The device can be used for carrying out self-adaptive adjustment treatment on gas in various modes, and is high in safety performance and better in treatment effect.