4340 results about "Alarm device" patented technology

The invention relates to the field of intelligent early warning of photovoltaic electricity larceny prevention, and particularly discloses a photovoltaic electricity larceny prevention alarm device, which comprises the following steps of: firstly, acquiring an electricity utilization curve graph of a user to be analyzed in a plurality of preset time periods and transformer area line loss data of a plurality of preset time points in a power system as input data; and then performing deep convolutional coding and analysis on the input data by using a machine learning technology to obtain a classification result, wherein the classification result is used for representing whether the user to be analyzed has an electricity stealing behavior or not. Therefore, real-time early warning of photovoltaic electricity stealing behaviors can be realized, so that benefits of enterprises are effectively protected, the market order is maintained, and healthy development of the photovoltaic industry is promoted.

A warning system according to the present disclosure includes: a character information generation unit that generates, by using a captured image of the inside or the outside of a mobile body, character information indicating a character representing an event appearing in the captured image; and a warning information notification unit that issues a notification of warning information corresponding to the character information generated by the character information generation unit. In a warning method according to the present disclosure, a computer: generates, by using a captured image of the inside or the outside of a mobile body, character information indicating a character representing an event appearing in the captured image; and issues a notification of warning information corresponding to the generated character information.

The invention discloses an early warning emergency processing system and method based on electric power operation, and relates to the technical field of monitoring analysis, and the method comprises the steps: obtaining an electric power equipment operation state data set, and generating an electric power operation three-dimensional dynamic model; performing abnormal operation feature extraction on the power equipment operation state data set to obtain an equipment abnormal feature map, performing dynamic risk prediction on the equipment abnormal feature map in combination with environment monitoring data, and generating a power equipment risk level distribution map; performing potential safety hazard correlation analysis according to the power equipment risk level distribution diagram and the power operation three-dimensional dynamic model, and generating a power safety early warning optimization model; and performing emergency plan matching degree calculation based on the electric power safety early warning optimization model, generating a multi-stage emergency response scheme set, performing dynamic priority adjustment on the multi-stage emergency response scheme set, executing electric power operation emergency processing operation, and outputting an alarm signal to an alarm device. The method has the effect of improving the emergency processing efficiency.

The invention discloses a fire-fighting fireproof door alarm information transmission device and method based on the Internet of Things, and relates to the technical field of fire-fighting alarm, and the method comprises the following steps: carrying out the multi-band continuous scanning of a wireless communication environment of a fireproof door alarm device deployment region after a fire emergency mode is started, identifying a target communication protocol frequency band used by the fireproof door alarm device, and obtaining spectrum parameter information of each frequency band to form a to-be-analyzed communication frequency band set; and extracting a working frequency band used by the peripheral wireless equipment based on a pre-established environment wireless equipment frequency band database. Frequency spectrum mapping is constructed through frequency spectrum scanning and an environment database, intelligent interference prediction is realized in combination with a support vector machine, coding parameters are dynamically adjusted based on interference intensity, the transmission reliability of key alarm information in a high-interference environment is improved, feedforward recognition and closed-loop regulation and control capabilities are achieved, and the method is suitable for popularization and application. And the problems of slow response and unstable transmission of a traditional system are effectively solved.

The invention discloses a household intelligent alarm device based on the Internet, and relates to the technical field of intelligent security and protection, and the device comprises an alarm information generation module which carries out the fusion of multi-source feature data, calculates an alarm index through a weighted summation method, and generates alarm information; the control instruction module is used for encrypting the alarm information, generating an encrypted data packet, sending the encrypted data packet to a remote user side through the Internet and receiving a control instruction of the user side; and the alarm command module is used for dynamically adjusting the alarm strategy based on the control instruction of the user side and generating an alarm processing command. By dynamically distributing the weight of the multi-source sensor, the adaptability of the device is improved, and false alarms caused by environment changes in the daytime and at night are reduced; in combination with historical false alarm data analysis and a self-adaptive updating algorithm, an alarm threshold is continuously optimized, the alarm accuracy is improved, and the false alarm rate and the missing report rate are reduced.

The invention discloses a pressure injury risk early warning method and equipment, and relates to the technical field of medical monitoring instruments. The pressure sensor array layout can be self-adaptive to the body shape of a patient, a key osseous process part is covered, no monitoring dead angle is ensured, a temperature compensation mechanism is built in, environmental interference is reduced, the measurement precision is improved, an abnormal pressure threshold value can be dynamically set based on individual medical record data, data verification is performed before early warning is triggered, false alarm is avoided, and the array structure is light, thin and flexible. The mask is comfortable to fit skin, supports long-term wearing and is easy to disinfect and maintain; environment temperature and humidity parameters and pressure data are subjected to fusion analysis, the influence of a high-temperature and high-humidity environment on skin microcirculation can be recognized, the risk of pressure sores can be evaluated in an auxiliary mode, a calibration algorithm is built in a sensor, environment fluctuation interference is reduced, and data reliability is ensured; and the early warning unit comprises sound-light alarm equipment which supports a multi-stage alarm mode and is used for triggering an early warning signal and pushing information when the risk index exceeds a threshold value, so that the early warning timeliness is ensured and the false alarm risk is reduced.

The invention discloses an output voltage detection method and system based on an aviation power supply, and relates to the technical field of aviation power supply voltage detection. A differential voltage sensor is connected to the output end of an aviation power supply, a high-frequency suppression capacitor is connected in parallel, the sampling rate of 20-50 times of the working frequency is set according to the type of the power supply, and the signals are collected and converted into analog voltage signals; the analog signal is subjected to two-stage filtering, is amplified to 0-5V through an instrument amplifier, and is converted into a digital voltage sequence through a 16-bit ADC (Analog to Digital Converter); calculating AC power supply effective value, peak value and other parameters, DC power supply average value, ripple coefficient and other parameters; comparing the characteristic parameters with a preset threshold value, determining that the characteristic parameters exceed the threshold value and recording related information; and a detection result is transmitted to a monitoring terminal through an RS485, data is locally stored, and a switching value is output to an alarm device when the data is abnormal. The method adapts to aviation power supply load fluctuation and environment temperature change, detection precision is high, data transmission and storage are safe, abnormity is accurately identified and early warning is carried out in advance, and aviation power supply operation and maintenance reliability and efficiency are improved.

The invention relates to the technical field of foundation pit detection, and discloses a foundation pit displacement monitoring method and system based on machine vision and monitoring equipment. The method comprises the steps that a high-definition camera collects image data of a foundation pit area in real time, the collected image data are preprocessed, reference points in the image data are analyzed through an optical flow method, displacement of the reference points in a foundation pit is estimated, and three-dimensional position changes of the reference points are calculated through the stereoscopic vision technology and image matching. The system comprises an image acquisition module, an image preprocessing module, a displacement calculation module, a filtering optimization module, an anomaly detection and early warning module and a data storage module. The equipment comprises a high-definition monitoring camera, a data processing terminal, a storage unit, an alarm device and a communication module. According to the invention, through image acquisition of a multi-camera system and a stereoscopic vision technology, comprehensive monitoring of the displacement of the foundation pit is ensured, high-quality image data can be provided in various environments, and precise acquisition of three-dimensional depth information is realized in combination with stereoscopic vision.

The invention relates to a power cable insulation state real-time monitoring and alarm device, and belongs to the technical field of power equipment state monitoring. Comprising a multi-source sensing unit which is installed at a cable body and a joint; the edge computing terminal is fixed in the cable well or the ring main unit; and the cloud early warning platform receives the processing data and outputs an alarm instruction. According to the invention, multi-parameter deep fusion is realized, four-dimensional monitoring of grounding current, temperature, partial discharge and humidity is initiated for the first time, and limitation of a single parameter is broken through; and an insulation health index IHI is proposed, and the insulation deterioration degree is quantitatively evaluated. According to the method, tan delta and IHI are calculated on site through an edge-cloud collaborative architecture edge terminal, so that the data transmission quantity is reduced; the cloud dynamic threshold value is adjusted, and the alarm accuracy is improved. According to the invention, intelligent early warning mechanism three-level alarm linkage protection equipment is arranged; and the self-calibration function ensures long-term reliability.

The invention relates to the technical field of violation monitoring, and provides an unattended system based on an AI model and video analysis, the unattended system comprises an AI language large model, a video monitoring device, an image analysis node and a linkage alarm device, the video monitoring device is configured with a sound-light alarm assembly, the image analysis node comprises a plurality of AI edge calculation boxes, and the AI edge calculation boxes are connected with the AI language large model. The linkage alarm device comprises a plurality of protocol conversion middleware. The video monitoring equipment is used for collecting a real-time video stream of a current monitoring area and inputting the real-time video stream into the image analysis node; the AI language large model is used for analyzing target image features of the image analysis nodes, determining violation behaviors of violation events and generating natural language alarm information; wherein the violation behavior is determined by an AI edge calculation box; protocol conversion configuration is performed on the linkage alarm device, and a sound-light alarm signal based on natural language alarm information can be generated on the video monitoring device in the current monitoring area through the linkage alarm device.

The invention relates to the technical field of intelligent traffic, and discloses an intelligent traffic-oriented 5G + V2X module and risk early warning terminal and an application method thereof, and the intelligent traffic-oriented 5G + V2X module and risk early warning terminal comprises an equipment end and a cloud platform. The equipment end is mounted on a vehicle and comprises a real-time data acquisition module, a front-end anomaly detection model and a risk alarm; the real-time data acquisition module is responsible for acquiring data related to a vehicle and real-time data of the surrounding environment of the vehicle; the front-end anomaly detection model is deployed at an equipment end; the risk alarm triggers an alarm device when the front-end anomaly detection model detects a potential risk or an abnormal condition; the cloud platform comprises a data extraction module, a data center module and a real-time calculation module; wherein the data extraction is responsible for receiving, extracting and storing data acquired by a vehicle sensor and a camera from an equipment end; the data center stores and manages a large amount of vehicle data; accurate collection of the vehicle body motion state is improved, the position information of the vehicle is more accurate, and the tracking capacity of the system on the vehicle position and the driving track is improved.

The invention discloses an infusion monitoring system, which relates to the technical field of infusion monitoring, and comprises a controller with a display screen, an infusion pump arranged at the top of a main body case and used for regulating and controlling the infusion speed, an infusion tube fixing frame arranged on one side of the main body case, and an alarm device arranged on the surface of the main body case, a physiological parameter acquisition module, a medicine characteristic analysis module, a dynamic dripping speed regulation and control module, a liquid abnormity detection module, an AR interaction control module and an alarm cooperative processing module are arranged in the controller; a physiological parameter acquisition module, a medicine characteristic identification module, a dynamic dripping speed regulation module, a liquid abnormity detection module, an AR interaction control module and an alarm cooperative processing module are integrated. The intelligent and closed-loop infusion monitoring system is constructed, self-adaptive dripping speed adjustment based on the physiological state of the patient and the medicine characteristics is achieved, and the safety of infusion treatment is improved.

The invention discloses an ultra-deep foundation pit supporting system selecting and monitoring method based on the digital technology, and belongs to the technical field of building construction.By inputting the specification, the geological condition, the hydrological condition and the load condition of a foundation pit into a foundation pit supporting system, a supporting system result meeting the specification is calculated and output; a complete three-dimensional foundation pit supporting system model is rapidly created in combination with Dynamo and Revit, a supporting structure construction drawing is output, and a material list and a calculation report of a supporting structure are generated; then, construction is conducted; the foundation pit supporting system model is imported into the monitoring platform, monitoring data of the foundation pit supporting system are obtained and mapped into the foundation pit supporting system model, and the current foundation pit supporting deformation condition can be visually analyzed; a data resource library is established in the monitoring platform, the monitoring data is compared with the data resource library, and the future foundation pit deformation condition is predicted; and the monitoring platform is connected with an alarm device, and when the monitoring data reaches a threshold value or the predicted deformation condition reaches the threshold value, the alarm device starts to report early warning information.

The invention relates to the technical field of industrial production detection, and discloses an AI-based industrial production process visual detection system and method. The system comprises an image acquisition module for acquiring production line real-time image data containing visible light and infrared band information; the defect detection module is used for extracting multi-level features by using an improved residual network to generate a defect probability distribution diagram; the dynamic adjustment module is used for generating a detection parameter optimization instruction through a depth deterministic strategy gradient algorithm; the multi-scale fusion module is used for outputting an enhanced defect feature map by utilizing a pyramid feature fusion network; and the execution control module constructs a distributed control instruction to drive the mechanical arm to respond to the alarm device in a linkage mode. The system can collect images in multiple dimensions, accurately detect defects, dynamically optimize detection parameters according to the environment, efficiently process defective products, and improve the industrial production quality and efficiency.

The invention discloses a mountain state real-time monitoring and identification method and system based on deep learning. The method comprises the following steps: performing multi-angle dynamic image acquisition through a PTZ camera; training a dual-target detection network based on a YOLOv7 framework, constructing a rockfall-crack detection model, and synchronously outputting bounding box coordinates of a rockfall target and position information of a crack region; constructing a rockfall trajectory prediction model through a DeepSORT multi-target tracking algorithm, and obtaining rockfall movement trajectory data; pixel-level semantic segmentation is carried out on the crack area, a crack mask graph is generated, and a crack main direction vector is extracted; carrying out registration and difference calculation on the image to obtain a crack width variation and an extension length, identifying a newly-added crack region and marking spatial distribution of the newly-added crack region; and constructing a multistage alarm mechanism which comprises multistage alarm signals of an on-site audible and visual alarm device and a cloud platform. The mountain disaster monitoring and early warning system has the advantages that efficient and real-time monitoring and early warning of mountain disasters are achieved through rockfall detection and tracking and crack analysis and prediction.

The invention provides a TBM tunneling tunnel vault settlement automatic measurement alarm device and an operation method, the TBM tunneling tunnel vault settlement automatic measurement alarm device comprises an arch-shaped frame, a plurality of groups of support arms are uniformly distributed on the arch-shaped frame, and each group of support arms extend outwards along the radial direction of the arch-shaped frame; the arched plates are arranged at intervals along the upper circumferential side of the arched frame; the plurality of groups of detection units are arranged on each arched plate at intervals along the length direction of the arched plate, and each detection unit comprises a mounting part detachably connected with the corresponding arched plate, a trigger part movably arranged on the mounting part, and a reference part arranged on the mounting part; and the alarm unit comprises a sensor arranged on the mounting piece, and an alarm and a power supply system which are electrically connected with the sensor. The triggering piece synchronously moves along with the settlement of the vault, the settlement of the vault can be visually observed on the basis of the reference piece, and manual intervention is not needed in the whole process; the sensor senses abnormal movement of the triggering piece in real time, and once the abnormal movement exceeds a safety threshold value, the alarm immediately gives an alarm.

The invention belongs to the technical field of foreign matter detection and alarm, and discloses a vehicle-mounted multi-sensor fusion runway FOD detection and alarm device. Comprising a data acquisition module for acquiring radar data, visual data and infrared data, and performing space-time synchronization and coordinate calibration to obtain synchronous data; the feature analysis module is used for analyzing the synchronous data to obtain radar features, visual features and infrared features; the analysis and complementation module is used for detecting the radar features, the visual features and the infrared features to obtain combined features, and performing shielding detection and feature complementation on the combined features to obtain complemented features; constructing an FOD dynamic feature tree; the positioning alarm module is used for analyzing the FOD dynamic feature tree and making an FOD alarm decision according to an alarm triggering condition; according to the method, accurate detection and reliable alarm of the runway FOD are realized, the accuracy, robustness and practicability of FOD detection in a complex scene are remarkably improved, and the runway FOD safety management and control requirements in a vehicle-mounted scene are effectively met.

The invention provides a global full-automatic intelligent safety system and a control method. The global full-automatic intelligent safety system comprises monitoring equipment, a sensor, communication equipment, an alarm device and a server. Wherein the monitoring equipment and the sensor are connected with the server through the communication equipment; the server is provided with an edge server and a cloud server which form a collaborative architecture; the edge server is deployed with multiple containers, and independent image recognition modules are packaged in the containers; the edge server is also connected with the alarm device; the cloud server is provided with a shadow system of an edge server, a training module and an online upgrading module. In combination with the corresponding control method, the system is simple in structure and low in deployment and maintenance cost, local quick response is achieved through the edge and cloud server collaborative architecture, effective and quick updating is carried out through the cloud under the corresponding control method, and therefore stable operation of the safety system and the recognition accuracy of monitoring are guaranteed, and the safety performance of the system is improved. And the requirements of different scenes can be quickly adapted, and the system use difficulty is simplified.

The invention provides a cable insulation aging state evaluation method and device and a detection system. The method comprises the following steps: acquiring near-infrared spectrum data which is a light intensity value of a cable for absorbing near-infrared light; according to the near infrared spectrum data, the crystallinity of the cable is determined, and the crystallinity is the proportion of the volume of a crystallization area of a polymer material of the cable to the material volume of the whole cable; according to the crystallinity and a first preset mapping relation, the aging index of the cable is determined, and the first preset mapping relation is the mapping relation between the crystallinity and the aging index; and when the aging index is greater than a first preset index threshold, controlling the alarm device to give an alarm. The method solves the problem that the aging state of the cable cannot be accurately evaluated in the prior art.

The invention relates to the technical field of risk early warning, and provides an individual risk dynamic perception early warning platform, which comprises an acquisition module, an analysis module, an early warning module, a control module and an adaptive module, and is characterized in that target individual dynamic characteristic index parameters and environment characteristic parameter information in each time period in a historical period are acquired; and determining an individual risk tendency period based on variance analysis of the dynamic characteristic index factors in the time period. And determining whether the operation of the early warning platform meets the standard or not based on the difference value between the preset environment characteristic representation threshold value in a certain time period and the actual environment characteristic representation value, and further determining the adjustment amplitude of the environment characteristic representation threshold value, or determining to start the alarm device. The problems that in the prior art, single feature perception triggers alarm, individual dynamic feature index differentiation cannot be recognized, and early warning lagging is caused by multi-dimensional analysis of environment feature differentiation, so that early warning precision is low, and efficiency is low are solved.

The invention relates to a range hood and a control method of the range hood, the range hood comprises a centrifugal fan, the centrifugal fan comprises a volute and a current collector, the volute comprises a front side plate, an air inlet is formed in the front side plate, and the current collector is connected to the air inlet of the front side plate; the current collector comprises an annular flow guide part and a connecting ring extending outwards from the flow guide part in the radial direction, and further comprises a locking rotary knob rotationally arranged on the connecting ring and used for locking the connecting ring and a front side plate of the volute, and a magnet capable of rotating along with the locking rotary knob is further arranged on the portion, located on the front side of the connecting ring, of the locking rotary knob. The volute is further provided with a Hall sensor, the Hall sensor is electrically connected with a control system of the range hood, the control system judges the amount of oil dirt attached to the centrifugal fan according to the variable quantity of a magnetic field signal transmitted by the Hall sensor, and then cleaning reminding is given out through an alarm device. The method has the advantages that oil contamination amount detection is more accurate, and the misjudgment condition of cleaning reminding can be effectively reduced.

This invention discloses a wear and tear testing device for textile materials, comprising a chamber and a rotating device within the chamber. An air diffuser is positioned at a specific location on the agitator of the rotating device, with the air diffuser direction at a 55-degree angle to the plane of the agitator. The diameter of the air diffuser is 1.2 mm. Pressure values ​​are set to suit different ranges of textile materials with varying unit surface mass. When the force value displayed by the sensor fluctuates within ±1% for 1.0 s, an alarm sounds. By setting parameters that correspond to the state of the chamber and the textile material, the testing time for textile material wear and tear testing is reduced. A locking device on the rotating position improves automation and testing accuracy.

The invention relates to the field of combustible gas alarm devices, in particular to a combustible gas alarm method and a combustible gas alarm device, and the device comprises an alarm device terminal which is integrated with a combustible gas detection end, an environmental parameter sensor, a scene recognition module and an alarm module; the central control module is electrically connected with the alarm device terminal, receives data acquired by the alarm device terminal, generates a control instruction and issues the control instruction; the air exhaust module is linked with the central control module and is used for receiving a control instruction sent by the central control module to realize intelligent air speed regulation; the wireless communication module is electrically connected with the central control module and the user terminal; and the execution module is electrically connected with the central control module, and an emergency execution unit is arranged in the execution module. Multi-source data is collected through the combustible gas detection end, the environmental parameter sensor and the flow velocity detection unit, gas leakage information is accurately captured in combination with multi-source data analysis, and compared with traditional single concentration detection, the false alarm rate is greatly reduced.

The invention discloses a smoke alarm device and an alarm control method, and particularly relates to the technical field of fire-fighting alarm devices.The device comprises a shell, and a multi-mode sensor module is arranged in the shell and used for collecting parameters in the environment in real time and generating detection signals; the data processing unit is electrically connected with the multi-mode sensor module through an I2C bus and is used for performing multi-dimensional analysis on the detection signal and generating an alarm decision instruction; the grading alarm module is used for receiving the alarm decision instruction through a GPIO (General Purpose Input / Output) interface; wherein the grading alarm module comprises a visible light warning assembly which comprises an RGBLED array and a laser projector and is used for generating a visual alarm and escape guidance; the sound wave generating device is used for transmitting a directional frequency-adjustable sound wave signal; the wireless communication module is electrically connected with the data processing unit; the invention aims to solve the problem that a smoke alarm device in the prior art can only play a role in warning and cannot effectively guide evacuation of users.

The invention relates to the technical field of inclination monitoring, and discloses a miniature power transmission tower inclination monitoring device, which comprises a shell, the top of the shell is connected with a top plate, and the top plate is provided with a protection cover; an alarm assembly is arranged in the shell and comprises a hammer rod, four trigger rods and an alarm, and when the hammer rod swings, the alarm can be triggered through one of the trigger rods; the alarm assembly further comprises a display part. The display part comprises four pointer blocks and four scale plates. A leveling part is arranged at the bottom of the shell and used for adjusting the shell to be in a horizontal state. Through the arrangement of the alarm assembly, the device can drive the hammer rod to swing through gravity to trigger mechanical extrusion alarm, the technical effects of being simple in structure, low in cost and timely in alarm are achieved, and the technical problems that an existing temporary transmission tower alarm device is complex, expensive and inconvenient to operate and maintain are solved.

The invention, which relates to the technical field of monitoring and early warning, discloses a comprehensive monitoring and early warning system and method for fire leaving in a kitchen, and the system comprises a scene sensing module, a preliminary analysis module, a data decision module and an emergency processing module. The scene sensing module is integrated with a camera, a smoke sensor and a gas sensor, and acquired image information, gas concentration and smoke index are transmitted to the preliminary analysis module; face and human body behavior recognition is carried out by adopting a deep learning model, the state of a kitchen fire source is monitored in real time by utilizing a flame state recognition technology, and in a normal state, the system does not intervene and only carries out low-power-consumption monitoring; when temperature abnormity or gas leakage occurs, the system enters an early warning mode, a buzzer alarm device is triggered to prompt a user, emergency disposal is carried out when necessary, timely response can be carried out according to different fire risks, and accidents are reduced.

The invention relates to the technical field of fault alarm, in particular to an intelligent fault alarm device for textile manufacturing. The device comprises a power-on switch and a shell installed on one side of the power-on switch, and the top and the bottom of the shell are fixedly connected with a shooting window and a base respectively. When the electric telescopic rod extends to push the alarm lamp to ascend, the rotating frame fixed to the upper end of the electric telescopic rod drives the four cameras to synchronously ascend and accurately align to the shooting window at the bottom of the shell, and it is ensured that the shooting view is completely exposed to the external environment without structural shielding; meanwhile, an inclined plate connected with the bottom of the alarm lamp moves upwards along with the alarm lamp and becomes a common platform for driving a sound alarm and a power-off mechanism, so that image acquisition and safety response are naturally synchronized in time, and evidence obtaining failure or response lag caused by control delay in a traditional discrete system is avoided; in the rising process of the inclined plate, on one hand, the lifting sleeve and the V-shaped rod push the sealing cover to slide open the local opening of the shell, and a necessary space is created for extension of the loudspeaker.

The invention discloses an intelligent drainage liquid monitoring and alarming device based on weight sensing, and the device comprises a connecting plate which is constructed to be of a plate body structure with a mounting plane; the fixing assembly is arranged on the connecting plate and used for connecting the connecting plate to a sickbed guardrail; the hanging weighing module is arranged on the connecting plate and used for hanging a drainage bag; the control panel is arranged on the connecting plate and is used for regulating and controlling the suspended weighing module; the alarm module is arranged on the connecting plate, receives a signal of the suspended weighing module and gives an alarm; the protection assembly is connected to the connecting plate; the protection assembly at least has a protection state in which the protection assembly covers the suspension weighing module, the control panel and the alarm module and an opening state in which the suspension weighing module, the control panel and the alarm module are exposed. According to the application, the weight change of the drainage liquid can be accurately monitored in real time, and the data can be deeply analyzed and intelligently processed.

The utility model belongs to the technical field of door leaf opening identification, and particularly relates to an AI and 5G-based fire box door and distribution box door opening and closing intelligent identification and alarm device which comprises a door magnetic sensor, a camera and a control host. The door magnetic sensor is installed on the door frame and the door body and used for detecting whether the door body is opened or not and outputting state information about whether the door body is opened or not. The camera is used for collecting and outputting images of the door frame and the door body; the door magnetic sensor and the camera are electrically connected with signal transfer equipment, the signal transfer equipment is connected with the control host through 5G signals, and the signal transfer equipment is used for transmitting state information output by the door magnetic sensor and image information output by the camera to the control host. According to the utility model, dual detection can be carried out on whether the door body is opened or not by utilizing a sensor detection and visual detection mode, so that the detection accuracy is greatly improved.

The utility model discloses a coal mine fire safety intelligent early warning control module, which belongs to the technical field of coal mine fire safety early warning and comprises a temperature monitoring unit, a gas monitoring unit, a dust monitoring unit, an underground looped network switch, a ground control device and an alarm device. The temperature-sensing optical fibers comprise a distributed temperature-sensing optical fiber host and distributed temperature-sensing optical fibers, and the distributed temperature-sensing optical fibers are laid in the transmission belt and the goaf and can monitor the temperatures of different areas in the mine in real time; the gas monitoring unit comprises a toxic gas monitoring subunit and an inflammable gas monitoring subunit, and can monitor the content of various gases in the mine; according to the coal mine dust monitoring system, the safety of coal mine operation is improved, the safety of workers and equipment is guaranteed, and smooth proceeding of coal mine production and operation is effectively promoted.