127 results about "Fire detection" patented technology

Methods, apparatuses and systems for fire detection are disclosed herein. An example apparatus may comprise a first infrared camera comprising a first filter, a second infrared camera comprising a second filter. In some examples the apparatus comprises a controller electronically coupled to the first and second infrared cameras, the controller having processing circuitry and a memory, the controller may be configured to generate a first indicator signal using a first camera output signal corresponding to the first bandwidth and a second camera output signal corresponding to the second bandwidth, compare the first indicator signal with a first threshold, and generate a fire alarm signal using the comparison of the first indicator signal with the first threshold.

The utility model relates to fire control detection technical field, and disclose a kind of smoke alarm remote triggering device for fire detection, including protective cover, the inside of protective cover is installed with smoke alarm, the outer edge of smoke alarm is installed with smoke making storehouse, the inside of smoke making storehouse is opened with cavity, the inner bottom of cavity is installed with heating pipe, the inner wall of cavity is connected with thread ring with thread, the top of thread ring is installed with pressing plate, the inner wall of pressing plate is installed with extension ring, the bottom of extension ring is opened with four recesses;By smoke alarm, it can be remotely controlled heating pipe operation to heat the smoke oil inside cavity, further can generate smoke, so that smoke can be discharged to the inside of protective cover through smoke exhaust pipe, and can be directly sprayed outside smoke alarm, for actively triggering smoke alarm to carry out smoke detection, without manually igniting combustible to produce smoke, more environmentally friendly.

This invention discloses a fire detection device for satellites, belonging to the field of aerospace remote sensing technology. The method includes: a first detection device and a second detection device installed on the satellite; the first detection device is communicatively connected to the satellite's control computer, and the second detection device is communicatively connected to the satellite's data management computer; the first detection device has a first field of view and a first resolution, used to determine the location of a fire point and send the fire point location to the control computer, so that the control computer can determine a maneuvering target based on the fire point location and send the maneuvering target to the data management computer; the data management computer is used to control the working state of the second detection device based on the maneuvering target; the second detection device has a second field of view and a second resolution, used to image the fire point under the control of the data management computer; wherein, the first field of view is larger than the second field of view, and the first resolution is lower than the second resolution. This invention, through the collaborative mechanism of the first and second detection devices, enables rapid detection and precise detailed investigation of global fire points by satellites, significantly improving observation efficiency and resource utilization.

The present application relates to a kind of fire detection methods for intelligent operation and maintenance fire patrol robot, belong to computer vision field.It includes the following steps: obtaining fire scene image, constructs fire detection dataset;Fire detection model is constructed, the fire detection model takes YOLOv5s as benchmark model, including input layer, backbone network, neck network and detection head;The C3 module of the end in the backbone network of YOLOv5s model is replaced as DenseC3 module;Multidimensional cooperation attention module MCA is embedded in the output end of neck network;Group convolution module is introduced in neck network, and the CBS module of neck network is replaced as GSCBS module;Fire detection model is trained using dataset, and the trained model is obtained;The image to be detected is input into the trained model, and the fire detection result is obtained.The present application can improve the precision of flame detection while ensuring real-time.

It is installed in an indoor parking lot equipped with an electric vehicle charging system and comprises: a water supply unit having a structure that can be deployed by external force and simultaneously spraying fire extinguishing liquid onto the bottom and sides of the electric vehicle; a fire extinguishing equipment unit for storing and supplying the fire extinguishing liquid supplied to the water supply unit; a valve unit for controlling the movement of the fire extinguishing liquid supplied from the fire extinguishing equipment unit to the water supply unit; a fire detection unit installed on the ceiling of the indoor parking lot to detect a fire; and a control unit connected to the fire detection unit to control the operation of the fire extinguishing equipment unit and the valve unit, wherein, in the event of a fire in the electric vehicle, the fire extinguishing liquid is supplied to the water supply unit manually or automatically, and the fire is suppressed by deploying the water supply unit by the pressure of the supplied fire extinguishing liquid.

The application relates to a fire hose sealing detection device for fire detection, and relates to the technical field of fire hose detection. The device comprises a main body, a cleaning brush is rotationally connected in a moving seat, a cleaning assembly is arranged at the bottom end of a fixing seat, a contact lever is slidably connected on one side of a base, an anti-deviation assembly is arranged in the base, a limiting assembly is arranged on both sides of the base, and a guide plate is rotationally connected to the limiting assembly. When the water hose is wound, the contact lever is extruded, a parallelogram cavity and a linkage structure formed by the cooperation of the slope drive the pressing plate to be pressed and limited, after the water hose is inflated, the contact lever is reset, the pressing plate is lifted and suspended, automatic limiting is realized by relying on the natural extrusion force of the water hose winding, the structure is simple and reliable, energy consumption is low, the water hose winding height can be limited, the pressing plate can be automatically lifted when the water hose is inflated, the normal inflation and deformation of the water hose are not affected, the limiting effect and detection compliance are considered, and pressure detection distortion caused by improper limiting is avoided.

The utility model discloses a cotton comb dust removal pipeline fire detection device, including the pipeline body, the lateral wall of pipeline body is equipped with the threaded hole, and the threaded hole is connected with detection subassembly in screw thread, detection subassembly includes the threaded hole in screw thread connection screw thread cylinder, the top of screw thread cylinder is installed the disc, and the inside of screw thread cylinder and disc bottom recess jointly install the detector, and the detection head of detector bottom passes through screw thread cylinder bottom and is located the inside of pipeline body. The utility model effectively solved the fire hazard problem of cotton comb dust removal pipeline, avoided the risk of the fire caused by the cotton combustion in the compactor because of the cotton combustion caused by the spark produced by the untimely cleaning of the cotton comb cover plate, tin forest component aging or abnormal distance, and the overall structure can be matched with the factory design, overcomes the signal transmission not to be smooth, is easily interfered with by the impurity and the malpractice such as the dismounting complicated of user's installation detection device.

1. Name of the product in this design: AI Smoke Detection Camera. 2. Purpose of this design: For real-time monitoring and fire detection of safety hazards such as smoke and fire. 3. The key design features of this product are the combination of shape and pattern. 4. The image or photograph that best illustrates the design's key points: 3D view 1.

This invention relates to the field of spacecraft fire prevention technology, and discloses a fire prevention and control system and extinguishing method for hypergravity environments. The system includes: a cabin with an external accelerometer and internal smoke detectors, temperature sensors, and flame image detectors; and an extinguishing system housed within the cabin and electrically connected to a controller. The controller controls the extinguishing system to extinguish fires and / or trigger alarms based on detection data from the accelerometer, smoke detector, temperature sensor, and flame image detector. This invention couples the accelerometer to the extinguishing system, allowing the controller to control the extinguishing system based on the hypergravity multiple of the cabin, particularly adjusting the spray pressure of the air curtain nozzles and jet nozzles. This enables the extinguishing system to adapt to hypergravity environments, solving the technical problems of inaccurate initial fire detection, delayed response, and low extinguishing efficiency in hypergravity environments.

This invention discloses a fire extinguishing assembly and battery pack for fire suppression of battery cells, relating to the field of new energy battery technology. The fire extinguishing assembly for fire suppression of battery cells includes: a fire detection tube; connecting components arranged at both ends of the fire detection tube for connecting the fire detection tube to a refrigerant channel for conveying refrigerant; and a shield, fixedly connected to the fire detection tube, for shielding a portion of the outer peripheral wall of the fire detection tube so that the refrigerant inside the fire detection tube has a fixed spray direction after the fire detection tube ruptures. This fire extinguishing assembly and battery pack for fire suppression of battery cells can effectively solve the problems of delayed response and low refrigerant utilization in fire suppression systems.

This invention discloses a wireless network-based intelligent fire monitoring method and system, relating to the field of fire detection. The method includes: deploying infrared thermal imaging monitoring nodes based on a wireless mesh network; periodically monitoring through these nodes to obtain infrared image data; acquiring temperature data from the infrared image data and calculating surface humidity data; obtaining a two-dimensional image of fire hazard level distribution based on the surface humidity and temperature data; and conducting manual or robotic patrols based on the two-dimensional fire hazard level distribution image. This invention uses infrared remote sensing to calculate the surface humidity and ground temperature of combustible materials within the detection area, combined with multi-node collaborative monitoring via a wireless mesh network and a quasi-effective timing correction algorithm. This fundamentally transforms fire prevention from a passive response to proactive prevention, significantly improving early warning accuracy and the efficiency of resource utilization in fire control.

The application provides an integrated intelligent electric power fire monitoring and rapid disposal device, and belongs to the technical field of electric power fire safety, and is used for solving the problem that fire detection and fire extinguishing decision are independent and lack continuous adaptive control in the prior art. The device comprises an edge computing gateway, and a physical information deep Bayesian controller is stored in the gateway. The controller receives multi-modal sensor data at each time step, performs state prediction based on a differentiable physical prior model, performs state posterior update based on a deep Bayesian observation model, and generates a continuous value fire extinguishing action through a policy network to control the partition valve to spray foam. The device integrates state estimation and fire extinguishing decision into a unified recursive framework, realizes end-to-end joint optimization and online Bayesian adaptation, and has the advantages of fast response, high precision and strong adaptation.

The utility model discloses a kind of multi-gear adjustable hemispherical cover type electronic temperature test instrument, including hand pole, the upper end of the hand pole is fixedly connected shell, shell is equipped with hemispherical heating cover, the inner wall of the hemispherical heating cover is fixedly connected with two ceramic skeletons symmetrically, the outer wall of two ceramic skeletons is spirally wound with heating wire, the heating wire is nickel-chromium alloy wire, the inner bottom of the hemispherical heating cover is equipped with thermocouple, the outer wall of the hand pole is fixedly connected with control assembly. The utility model can realize accurate temperature control, multi-gear adjustment and have safety protection function, to meet the actual demand of fire detection work.

The application discloses a fire detection method and device with light weight and high robustness in a diversified environment, and relates to the technical field of artificial intelligence vision and fire safety. The method comprises the following steps: constructing a fire detection model; the model comprises a heterogeneous multi-branch network structure module and a flame frequency domain perception module; obtaining a fire and smoke detection dataset to train the fire detection model; the heterogeneous multi-branch network structure module is used to extract features of different receptive fields; the features of different receptive fields are input into the flame frequency domain perception module to extract low-frequency features and high-frequency features of the flame, and the features are spliced to obtain spliced features; the fire detection model is trained based on the spliced features to obtain a trained fire detection model; obtaining a fire image to be detected; and inputting the fire image to be detected into the trained fire detection model to output a detection result. The application can improve the accuracy and stability of fire detection in a diversified environment.

This invention discloses a method and system for detecting fires in power tunnels based on matrix infrared thermometry. The method includes: real-time acquisition of the temperature, ambient temperature, and flame temperature at each point on the matrix thermometry detection surface of the power tunnel; initial determination of the presence of ignition points or potential ignition points in the detection area based on temperature difference and unit time temperature rise rules, and determination of the location and area of ​​the ignition points or potential ignition points; secondary confirmation of the initially determined ignition points or potential ignition points based on adjacent matrix thermometry comparison rules in the direction of movement and fire detection rules; if the secondary confirmation result is correct, determining the spray direction and spray volume of extinguishing agent based on the location and area of ​​the ignition point or potential ignition point, and extinguishing the fire; otherwise, continuing detection. This invention uses a matrix infrared thermometry sensor and, through optimized temperature measurement and detection algorithms, achieves more accurate fire detection in power tunnels.

The present invention relates to a smart streetlight system for electric vehicle charging and fire response, and provides a system which comprises a lighting unit, a fire detection sensor unit, and an electric vehicle charging unit in a streetlight main body, and is integrally controlled by being connected through a wired / wireless network via an MCU device. The smart streetlight collects data from the fire detection sensor unit to determine whether a fire has occurred, generates fire occurrence information, and operates a fire suppression device on the basis of the fire occurrence information. The fire suppression device comprises a smothering fire extinguishing cover, which covers a parked electric vehicle to form a sealed space, thereby suppressing the fire or preventing the spread thereof. In addition, the smothering fire extinguishing cover comprises at least one openable emergency exit therein, and comprises a light-emitting body for indicating the position of the emergency exit to support safe escape of a user in an emergency situation. This design increases space utilization in urban environments through multifunctional roles of electric vehicle charging and fire response, and contributes to solving the problem of insufficient charging stations and the limitations of initial fire response. The present invention proposes a smart streetlight system that improves safety and efficiency in public places by simultaneously providing convenience in the use of electric vehicles and quickness of fire response.

This invention provides a fire detection and protection device for semiconductor CVD equipment, comprising a housing, a fire detection module, a control module, and an alarm module. The housing is mounted on one side of the control cabinet. The fire detection module includes a fire detector. The control module includes a self-locking relay, a time-delay relay, and a reset button. The alarm module includes an audible and visual alarm. The fire detector is disposed within the control cabinet, the self-locking relay and the time-delay relay are disposed within the housing, and the reset button and the audible and visual alarm are disposed on the housing. An AC contactor is provided in the control cabinet. The closing and opening of the normally open contacts of the AC contactor controls the on / off state of the main power supply of the control cabinet. The control module controls the energization and de-energization of the coil of the AC contactor based on the fire detector, thereby controlling the on / off state of the main power supply of the control cabinet. This invention improves the fire hazard prevention and control capabilities of semiconductor CVD equipment.

1. The name of the design product: fire detector. 2. The use of the design product: for fire detection. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view 1.

The utility model provides a kind of high-temperature combustion chamber, the outlet end of combustion chamber is provided with explosion door and gas outlet;The inlet end of combustion chamber is provided with burner interface, and combustion chamber is communicated with burner through burner interface, and the inlet end of combustion chamber is also provided with gas inlet, air inlet, organic glass observation port and fire detection port;The top of combustion chamber is provided with first thermocouple, second thermocouple and pressure gauge, first thermocouple is used to detect the temperature of the inlet end of combustion chamber, second thermocouple is used to detect the temperature of the outlet end of combustion chamber, and pressure gauge is used to detect the pressure of the outlet end of combustion chamber;According to the reading of first thermocouple, second thermocouple and pressure gauge, adjust the parameter setting of burner and the flow of gas and air inlet, ensure that the temperature in combustion chamber is maintained at 900-1200 ℃.The high-temperature combustion chamber of the utility model can burn most of the waste gas generated by the carbonization furnace, and the remaining combustible waste gas can be transported to other equipment for secondary use.

This invention discloses an early forest fire identification method and system based on an improved YOLOv8, relating to the fields of image recognition and forest fire prevention technology. Addressing the problems of low detection accuracy and high false positive and false negative rates caused by the extremely small size of early fire targets and weak smoke features from the perspective of UAV remote sensing, this invention provides a fire detection model. The method improves upon the basic YOLOv8 network architecture by: constructing a dual-detector collaborative architecture; optimizing the detection performance of smoke features and small fire point features through differentiated processing strategies; embedding a multi-window differential attention module (MWDAM) into the feature extraction network to suppress complex background interference and enhance the expression of weak target features; and introducing dilated convolution into the backbone network to expand the receptive field and improve the model's contextual awareness of early weak smoke and small fire targets. This invention effectively improves the detection accuracy of early forest fire targets and provides a reliable technical solution for high-precision intelligent monitoring on UAV platforms.

The utility model belongs to fire-fighting alarm technical field, and disclose a kind of alarm device for fire detection, including smoke alarm, the top of smoke alarm is equipped with installation groove and is equipped with mounting plate, and the bottom of mounting plate is located in installation groove, the surface of mounting plate is equipped with several L type grooves, the inner wall of installation groove is fixedly connected with the clamping block corresponding to each L type groove one by one. The utility model can be buckled on the bottom surface of mounting plate by personnel hand-held smoke alarm, at this time, personnel observes second indicating plate and first indicating plate to be aligned, so that clamping block can be inserted into L type groove smoothly, at this time, smoke alarm will extrusion plate be extruded and move upwards, then rotate smoke alarm counterclockwise, so that clamping block will extrude limit block towards top groove in moving process, until clamping block is away from limit block, and then the assembly and fixing of smoke alarm can be completed, and operation is more convenient.

This utility model provides a composite detector for outdoor fires, relating to the field of fire detection technology. It includes a composite detector body with ventilation holes on both sides and a mounting plate on one side. The mounting plate has mounting holes on its surface, and a sliding block is fixedly connected to the side of the mounting plate. A sliding groove is also provided on the side of the composite detector body. This utility model effectively filters dust and flying insects through a filter screen installed inside the mounting frame, preventing them from entering the detector through the ventilation holes and affecting detection accuracy and normal operation. Simultaneously, pulling the pull head causes a limiting rod to slide within the fixed plate, disengaging the limiting rod from the limiting hole, thus allowing flexible adjustment of the mounting plate position to adapt to different installation environments. After adjustment, releasing the pull head causes a tension spring to push the limiting rod into the limiting hole, stably fixing the mounting plate.

This invention relates to the field of coal mine safety monitoring and fire prevention technology, and in particular to a portable device for coal mines integrating gas sampling and fire identification functions, and its usage method. This invention integrates a multi-parameter gas sensor array and an internal temperature sensor into the device housing, along with a power supply compartment. It collects underground sample gas via a pump, first controlling the connection between the detection pipeline and the exhaust port via a gas distribution valve. Data measured by the internal temperature sensor and the multi-parameter gas sensor array is used in real time for fire identification and to determine the validity of the sampling. When the fire is identified as safe and the sampling is valid, the gas distribution valve is controlled to connect the pumping pipeline and the detection pipeline, allowing the sample gas to be collected via a gas sampling bag. The sample can then be brought back to the surface for high-precision chromatographic analysis, achieving synergy between real-time underground monitoring and surface verification. This improves the accuracy, reliability, practicality, and portability of underground fire detection.

This invention relates to the field of flame detection technology and discloses a method for acquiring and detecting fiber optic flame detection signals under high-temperature combustion conditions. The steps are as follows: A fiber optic flame detection probe equipped with a double-layer protective sleeve is used to directionally acquire the optical signal directly in front of the target burner; multiple redundant transmission channels are constructed using wavelength division multiplexing (WDM) technology to transmit the optical signal in parallel to the signal processing terminal outside the furnace; the optical signal is converted into an electrical signal containing intensity, frequency, and wavelength divisions (350nm ultraviolet and 700nm infrared) using a photodetector, and then purified by voltage superposition noise reduction and band filtering; under low load conditions (below 30% of rated load), flame / no-flame characteristic learning is completed, and the frequency range, light intensity threshold, and wavelength division ratio are recorded; the electrical signal undergoes frequency filtering and secondary matching of wavelength division ratios to eliminate background interference; the filtered electrical signal is compared with the learned characteristics to output conclusions on the presence or absence of flame and the stability of combustion, achieving accurate and stable detection.

The invention relates to a method for operating a motor vehicle (2) that has a fire detection device for detecting a fire in the vicinity of the motor vehicle (2). The motor vehicle (2) is provided to have a drive unit and a traction battery electrically connected to the drive unit, and upon detection of a fire, the traction battery is discharged. The invention further relates to a motor vehicle (2) and a computer program.

This application relates to an intelligent disconnection control system for sorting tracks. A track-breaking mechanism is used to disconnect or connect the intermediate track section, allowing items to slide from the intermediate track section towards the end near the second conveyor mechanism. When a position sensor detects movement of a fire door, the distance L between the fire door and the intermediate track section is greater than a preset safety distance, the fire detection sensor measures a fire index Q ≥ the warning value and Q < the safety upper limit value, and a vision sensor detects items to be conveyed in the intermediate track section, the controller can control the first conveyor mechanism to stop operating and control the second conveyor mechanism to continue conveying items. When the distance L ≤ the preset safety distance, or the fire index Q ≥ the safety upper limit value, or there are no items to be conveyed in the intermediate track section, the controller can control the track-breaking mechanism to disconnect the intermediate track section. The intelligent disconnection control system for sorting tracks provided in this application solves the problem of mechanical control devices relying on the physical triggering of fire doors and being unable to predict the position of clothing.

The application provides a building fire-fighting early warning system and method, and belongs to the technical field of building fire-fighting safety. The application synchronously collects temperature, smoke concentration and carbon monoxide concentration data in each monitoring area of a building, calculates the deviation degree of sensor sliding window variance and baseline variance, evaluates the reliability index of each sensor in real time and generates adaptive fusion weight, simultaneously detects and isolates the fault sensor through time sequence deviation residual analysis, evaluates the consistency between sensors and generates a correction weight, relies on the dynamic update of the environment baseline based on the exponential weighted moving average, generates a graded early warning threshold for each area and triggers the corresponding response measures. The application effectively improves the robustness of the system under the condition of sensor failure, enhances the fusion accuracy in the multi-sensor conflict scene, realizes the early prediction of the fire spread situation, reduces the false alarm rate while maintaining a high fire detection sensitivity and a short detection response time.

This invention discloses an intelligent fire detection method based on artificial intelligence video analysis, belonging to the field of artificial intelligence video analysis technology. This method targets multiple video streams deployed on an edge computing gateway. It utilizes an asynchronous decoupled buffer queue to bind video frames and timestamps into frame units to be processed. An incremental sequence identifier is assigned to each frame unit to be processed via a hardware resource scheduler, and the frame units are then distributed to a first processing pipeline and a second processing pipeline based on the sequence identifier. In the first processing pipeline, background removal and dynamic texture extraction are performed to generate a thermal activation map. In the second processing pipeline, frequency domain transformation and multi-scale local binary mode decomposition are performed to generate a flame frequency domain texture feature map. The thermal activation map and the flame frequency domain texture feature map are then pixel-level weighted fusion at the same time reference to generate a fusion confidence tensor. Finally, non-maximum suppression and spatial connectivity analysis are performed to output the bounding box of the flame target and the initial fire intensity level.