2340 results about "Emergency situations" patented technology

An Internet-of-Things-based intelligent safety monitoring method and system for power plant operation. The method comprises: deploying sensors and collecting monitoring data in real time; transmitting the collected data to a central server, performing data processing, integrating the monitoring data, calculating a comprehensive environmental index, and preliminarily assessing an environmental monitoring condition; and comprehensively determining a device fault condition, remotely monitoring device status, starting a device emergency response mechanism, and performing intelligent safety monitoring of power plant operation. Power plant devices and environment parameters are monitored in real time, so that device anomalies and potential safety hazards are promptly captured to achieve rapid response. The stability of the power plant is improved, and a video monitoring system is integrated in combination with image recognition technology to monitor anomalous events in the power plant area. The level of safety management is enhanced, and decisions can be quickly made in emergency situations, improving flexibility and efficiency and enhancing management effectiveness and the accuracy and stability of the monitoring system.

The present invention relates to an intelligent, context-aware battery management system embedded within a mobile device that dynamically allocates power resources based on real-time user behavior, system state, and environmental context. It incorporates a smart recognition engine that analyzes sensor-derived telemetry data to compute behavioral deviation scores, enabling the system to anticipate abnormal or emergency-prone conditions. A continuous activity classification module contextualizes user motion and geolocation to inform power policy decisions. Upon detecting significant behavioral anomalies or critically low battery conditions, an emergency mode subsystem is triggered, restricting device operations to essential functionalities while preserving energy for critical communication and navigation tasks. The system also establishes a secure, lightweight emergency communication tunnel for relaying essential metadata, including GPS and behavioral indicators, to predefined response servers.

The invention provides an intelligent traffic dynamic green wave control method and system, a storage medium and a program product, and relates to the field of traffic control systems.The method comprises the steps that real-time traffic data of all lanes and emergency data published by a traffic management department are obtained; obtaining traffic flow prediction results of different directions of each road section in a future preset time based on a neural network model; outputting the congestion level and the congestion duration of each road section in combination with the emergency situation data and a traffic flow theoretical model, and further determining an adjustment sequence; and on the basis of the traffic flow prediction result, calculating the optimal green wave bandwidth of the signal lamp at each intersection in each target road section by using a particle swarm optimization algorithm to obtain an optimal timing combination scheme of the signal lamp in each target road section, and performing real-time timing control. By implementing the method, the traffic flow can be dredged more efficiently, the parking frequency and delay time of vehicles on the road are reduced, the overall traffic capacity of the urban road is improved, and energy consumption and environmental pollution are reduced.

The invention relates to the technical field of space governance, and discloses a multi-agent space collaborative governance method which comprises the following steps: processing multi-source heterogeneous data such as satellite images and sensor readings, establishing cross-type semantic association through a geographic space data embedding technology, generating a unified structured text after optimizing the satellite images through vLLM, and synchronizing the unified structured text to a central database; an agent role portrait is dynamically generated by the central server large language model based on a preset Prompt template, and generation does not depend on a fixed rule; then, selecting a target node in the edge-center architecture, disassembling a total task into sub-tasks, establishing semantic mapping, calculating a matching probability, and performing optimal distribution by a reward borrowing function; generating a governance scheme in a perception layer-decision layer-execution layer framework, and outputting a coded operation instruction; based on an execution feedback updating strategy, a multi-level mechanism is set, roles are automatically redistributed, and the governance continuity is guaranteed. According to the invention, the overall efficiency and reliability of space governance can be improved in the face of dynamic scenes or emergency situations.

The present invention relates to a warning system and in particular to a warning system that is movable to a monitoring zone. The invention has been developed primarily for use for early notification of danger by approaching vehicles to a monitored zone such as an emergency in an emergency lane of a roadway. The warning system of the invention comprises at least two forms of detectors for detecting and tracking vehicles and obtaining characteristics of the tracked vehicle relative to the monitored zone a determinator for receiving the characteristics of the tracked vehicle relative to the monitored zone and assessing the expected relative impact of the vehicle on the monitored zone and an alarm system for providing an alarm action according to a predetermined danger of the assessed expected relative impact of the vehicle to the monitored zone.

The invention discloses a comprehensive transportation junction emergency scene simulation deduction system based on digital twinning, which relates to the technical field of digital simulation and comprises a data processing unit, a simulation deduction unit and a visual display unit, the data processing unit is used for acquiring emergency scene basic data of the target digital twin comprehensive transportation hub, performing multi-source integration on the basic data and constructing a model data environment; the simulation deduction unit calls a simulation deduction algorithm to construct a simulation deduction algorithm model according to the emergency scene model data, and carries out emergency situation deduction and scheduling processing based on the simulation deduction algorithm model; and the visual display unit is used for carrying out distribution management on user permissions, carrying out deduction data plotting based on GIS map basic information, and carrying out query and visual display on the deduction data according to a query instruction of a user. According to the method, a digital twinborn platform is built based on a simulation deduction algorithm model and dynamic data, so that the deduction process is more accurate, and visual display is realized in combination with GIS map data.

The invention discloses an emergency situation intelligent decision-making method, device and system based on deep learning, and the method comprises the steps: firstly collecting multi-modal data of an affected area, carrying out the fusion processing of the multi-modal data into a unified embedded vector, carrying out the time and space dimension feature extraction of the unified embedded vector through a space-time perception neural network, and constructing a state sequence containing a space-time evolution characteristic; constructing a dynamic causal graph based on the sequence to identify a potential causal relationship, and predicting a future emergency situation development trend according to the potential causal relationship; and finally, generating an emergency decision strategy accurately adaptive to the actual condition of the affected area in combination with historical disposal experience and the current resource constraint condition. According to the invention, accurate perception of disaster situations, evolution prediction and intelligent decision generation under resource constraint can be realized.

The invention relates to the technical field of path planning, and discloses a path planning method and system of an AGV (Automatic Guided Vehicle) for a silver electrolysis process workshop. The method comprises the following steps: carrying out environment characteristic acquisition and electronic map construction on a silver electrolysis process workshop to obtain a silver electrolysis process workshop electronic map; calculating an initial optimal path of the AGV from the current position to the target workstation; detecting the actual driving resistance in the execution process of the initial optimal path to obtain a path correction parameter; performing local adjustment to obtain an energy-saving safe path; and in the process that the AGV executes the energy-saving safe path, the front moving obstacle and the electrolyte leakage area are monitored in real time, and a temporary detour path is generated. According to the application, the path planning is more suitable for the actual environment characteristics of the silver electrolysis workshop, the emergency situation of the silver electrolysis workshop can be timely handled, the equipment safety and the production continuity are guaranteed, the no-load rate of the AGV is reduced, and the overall logistics efficiency of the silver electrolysis workshop is improved.

The invention relates to the technical field of remote control, in particular to an intelligent device remote cooperative control method and system based on the Internet of Things, and the method comprises the following steps: monitoring and adjusting the CPU utilization rate and memory usage of an intelligent device based on an Internet of Things platform, optimizing the data collection and network resource distribution, and improving the intelligent device remote cooperative control efficiency. By analyzing equipment performance and a network load balance index, equipment connection priority ranking and task load management are realized, and task execution and connection frequency is dynamically adjusted, so that real-time task requirements are met, and system efficiency is improved. According to the method, the performance index of the equipment is monitored in real time, the data transmission interval is dynamically adjusted, the data processing speed is remarkably increased, resource waste is reduced, efficient use of network resources is ensured through real-time load analysis and optimization of network nodes, the problem of data delay caused by network congestion is avoided, and in the aspect of equipment connection management, the data transmission efficiency is improved. An intelligent priority decision mechanism allows the key device to quickly access the network in an emergency.

The invention belongs to the technical field of power distribution network equipment, and relates to an interlocking device with an emergency unlocking function and an environment-friendly ring main unit, and the interlocking device comprises an isolation interlocking assembly, a circuit breaker interlocking assembly and a chamber door interlocking assembly. The isolation interlocking assembly comprises an isolation interlocking plate, and one side of the isolation interlocking plate is provided with a shielding part; the circuit breaker interlocking assembly comprises a closing interlocking group which is arranged on the isolation interlocking plate and is used for locking and unlocking a closing release in the ring main unit; the chamber door interlocking assembly comprises a chamber door interlocking piece suitable for movably unlocking a cable chamber door on the ring main unit; the chamber door interlocking piece is provided with a rod abutting part connected with the chamber door interlocking piece through a fixing bolt. The protection functions that the circuit breaker cannot be switched on first when the disconnecting switch is switched off, the grounding switch is switched on in an electrified mode after the circuit breaker is switched on, and a cable chamber door cannot be opened when the circuit breaker is switched on are achieved through interlocking. And meanwhile, under the emergency condition of interlocking failure caused by interlocking clamping stagnation or other unforeseen circumstances, the fixing bolt can be disassembled to unlock and open the cable chamber door emergently.

An integrated system for detecting dam breaches, as an early warning system and for evacuation assistance, consisting of: A geoinformatics analysis module comprising a modeling processor with a graphics processing unit, configured to: analyze spatial, hydrological, and topographic data of a dam and its downstream area; generate hydrological models using probable maximum rainfall (PMP) data to determine probable maximum flood discharge (PMF); generate hydraulic models to simulate flood propagation and determine flood depth, flood extent, flow velocity, and flood arrival time; create flood vulnerability models, vulnerability models, and flood hotspot models using a multi-criteria decision-making (MCDM) framework; and generate evacuation plans for high-risk zones based on the models. A sensor monitoring subsystem includes: a distributed fiber optic sensor (DFOS) configured to monitor the structural load and deformation of a dam, and a radar level gauge configured to measure the water level in the reservoir; a microcontroller unit configured to receive and process sensor data from the sensor monitoring subsystem, to detect dam breaches based on abnormal structural movements detected by the DFOS or sudden drops in water level below predefined thresholds detected by the radar level gauge; a communication module configured to transmit warning messages when dam breaches are detected; a warning system configured to: send SMS notifications to residents in downstream high-risk zones via a GSM communication module, generate real-time alerts via an IoT platform on user devices, and activate siren systems in villages to issue loud alarms and voice announcements; and an evacuation assistance platform configured to provide real-time evacuation assistance in emergencies due to dam breaks, displaying site maps with nearby emergency shelters, evacuation routes, hospitals, government buildings and aid centers, showing hydrological layers including flood extent, water depth, flow velocity and arrival time of the water, and enabling real-time location tracking in relation to safety zones and flood-prone areas.

A method for operating smart fixtures to enable artificial intelligence-based emergency detection, communication, and response within a building is disclosed. The method includes monitoring environmental conditions using sensors integrated into smart fixtures, such as power receptacles, light switches, and vents. Audio, image, and physiological motion data are captured and transmitted to a processor for analysis. The system extracts signal and motion-based features, identifies subjects, and calculates health parameters to assess distress levels. If an emergency is detected, an emergency communication signal is generated, and a communication session with a remote device is established. The system provides real-time situational updates and executes emergency response actions, such as adjusting power distribution and environmental controls. Predictive analytics modules enhance response efficiency by anticipating subject movements and optimizing emergency interventions. The smart fixtures facilitate intra-building communication and user interaction through voice-activated queries, enabling an adaptive and intelligent emergency management system.

A method for secure onboarding to a closed mesh network in which a camera-equipped device scans a QR code embedded in a durable physical carrier (e.g., adhesive bandages, photographs, ID cards) to extract an access credential, configuration profile, or secure URL that automatically configures the device for network access, authenticates the device to the mesh without manual credential entry or transmission of plaintext credentials over insecure channels, and establishes end-to-end encrypted communications between network nodes; the method supports cryptographically random, single-use or time-limited credentials with periodic refresh to prevent replay, encoding of VPN / WireGuard or proprietary configuration profiles, substantially real-time onboarding (e.g., under five seconds), optional multi-factor verification (biometric or PIN), immediate initiation of secure messaging, voice / video or data sessions upon onboarding, audit logging for compliance and revocation based on detected unauthorized activity, and covert or overt embedding of QR codes in environment-resistant carriers for emergency, disaster response, first responder, or covert deployment, with the QR code rendered unreadable or deactivated after successful onboarding to prevent credential reuse.

The invention relates to the technical field of rail transit communication, and discloses a communication network optimization method and device for rail transit. According to the communication network optimization method and device for rail transit, the quality of the communication link is regulated and controlled according to the real-time state of train operation, the stability of data transmission can be guaranteed, the reliability of the communication network in the train operation process is improved, accurate transmission of key data such as train operation control is guaranteed, and the service life of the communication network is prolonged. Traffic is regulated and controlled according to load distribution of network nodes of a track area, network congestion of a hot spot area can be effectively relieved, network loads are balanced, the utilization efficiency of network resources is improved, network operation is smoother, normal development of various services is guaranteed, access priority is regulated and controlled according to different service requirements, and the service quality is improved. Therefore, the emergency message can be transmitted preferentially, the timeliness and the efficiency of emergency handling are improved, and the safety and the emergency response capability of the rail transit system are enhanced.

The invention relates to the technical field of valves, and provides a water pump control valve with a downstream pipe burst emergency shutoff function, which comprises a main valve body with a water inlet port and a water outlet port, and further comprises a control cavity, and the control cavity comprises an upstream control cavity and a downstream control cavity; the water pump control valve further comprises a reset reversing valve and a turn-off reversing valve, the reset reversing valve comprises an upstream pressure collecting end, a first downstream pressure collecting end, a first reversing pressure collecting end and a drainage end, and the turn-off reversing valve comprises an upstream pressure output end, a second downstream pressure collecting end, a second reversing pressure collecting end and a downstream pressure output end. The reset reversing valve and the turn-off reversing valve selectively enable the control cavity to be in a dynamic adjusting state or a rapid turn-off state according to the pressure of the first reversing pressure collecting end and the pressure of the second reversing pressure collecting end respectively. By means of the technical scheme, the problem that in the prior art, a water pump control valve cannot meet the requirement for quick turn-off in emergency circumstances is solved.

The invention discloses a torsion test method based on a Kalman filtering algorithm, and relates to the technical field of torsion test.According to the torsion test method, a dynamic noise model and a material feature library are combined to enable a filter to automatically adapt to acoustic characteristics of different substrates, and the problem of misjudgment caused by fluctuation of material parameters in a traditional method is solved; secondly, a sub-band processing mechanism can restrain high-frequency noise and meanwhile completely reserve transient characteristics before the material is broken, and effective signal loss is avoided; the transfer learning model eliminates batch differences through adversarial training, and the generalization ability of dynamic threshold judgment is ensured; the real-time compensation strategy generates a refastening scheme considering both mechanical safety and assembly precision in emergency.

The invention relates to the technical field of water level data processing, in particular to a water level data acquisition and processing system based on the Internet of Things, which comprises a trend identification module, a sampling frequency modulation module, a data encapsulation module, an exception elimination module and an instruction linkage module. According to the method, trend recognition is achieved by analyzing the continuous water level change trend, the sampling frequency is dynamically adjusted, so that the sampling interval is matched with the actual water level fluctuation state, the response sensitivity of water level data and the timeliness of data acquisition are improved, and a uniform packaging format is constructed by adopting a timestamp index mechanism and a bidirectional mapping structure; the integrity of a water level data structure and the convenience of index management are enhanced, sudden change breakpoints are recognized through the water level amplitude difference, data are stored in a segmented mode, the data stability and the emergency situation recognition capacity are improved, and the self-adaptive capacity of water level information processing, the maintaining level of data continuity and the coping efficiency of sudden abnormity are overall improved.

The invention relates to the technical field of emergency communication, in particular to an ocean emergency plan planning method and system based on a block chain, and the method comprises the following steps: receiving air pressure, temperature and wind speed data based on a target ocean monitoring region, collecting the water velocity and direction data, extracting the geographic position and course data of a ship, and carrying out the data processing; and performing timestamp alignment and data fusion processing on the data to obtain a marine environment condition data set. According to the invention, the block chain technology is applied to ocean emergency plan planning, the transparency and traceability of data are improved, the probability and potential influence of disasters are predicted through time sequence analysis, early warning signals are sent to associated nodes through a network, and the health condition and communication load of each node in the network are monitored in real time. And the data flow and the bandwidth are dynamically adjusted, so that the response speed and the efficiency of the network are improved, rescue resources can be quickly and effectively deployed in an emergency, and the accident influence is reduced to the greatest extent.

The invention discloses a plan issuing method based on emergency state dynamic change, and relates to the technical field of intelligent emergency, and the method comprises the steps: activating a pre-constructed knowledge graph frame according to an emergency type identifier obtained in real time, and forming an initialized dynamic knowledge graph; capturing a feedback data stream in real time, importing the feedback data stream into a state updating layer of the state evolution knowledge graph, and generating an updated state evolution knowledge graph; and based on the updated state evolution knowledge graph, generating an evacuation instruction, switching to a Mesh network through a damaged base station, broadcasting path change information, generating an execution effect, and re-triggering and activating the pre-constructed knowledge graph framework as a new emergency type identifier. According to the method, the emergency situation disturbance nodes are implanted in the state evolution knowledge graph and the diffusion path is deduced, so that the dynamic generation of the intelligent countering plan is realized.

The invention resides in a computer-implemented communication method. The method comprises a mechanism for distributing blockchain and / or cryptocurrency-related communications such as alerts, notifications and updates across an electronic network to one or more recipients as efficiently and swiftly as possible. Embodiments may use IPv6 multicast to perform such improved communications. A communication can comprise a code, flag or filter which enables the communication to be targeted at particular recipient(s) and allow multicast group members that have no interest or authorised access to the contents of the communication to ignore it. Thus, improvements are provided in respect of processing resources and time. In some examples, the disclosure can be advantageous for the implementation of a blockchain-related alert key or system which can aid in network responses to emergencies or threats, thus improving the security of the blockchain network.

An environmental monitoring network has transportable, self-contained, environment sensing capsules, each capsule is water-proof, with first and second sections, the second section being hollow. Apertures in the capsule's housing enable fluid and gas entry wherein first sensor(s) disposed internal to the housing measure within the hollow, and second sensor(s) disposed external to the housing measure external to the housing. A controller and power system are connected to the first and second sensors and transmits measured data. An access entry way is on a side of the housing, enabling access to first sensors, controller system, power system, and the communication system. A central data server is configured to receive and analyze the measurement data sent from the capsules. There is a priority list of appropriate personnel for contact by the central data server in an event there is an emergency condition at a capsule location.

The invention discloses a safe evacuation path planning method under a strong wind condition of island engineering. According to the technical scheme, the method is characterized by comprising the steps that firstly, the physical space of an engineering site is discretized into a plurality of grid units, and a computable graph structure is constructed; then, acquiring multi-source dangerous area information generated in real time, and quantifying the dangerous area information into a dynamic risk value of each grid unit; then, acquiring the real-time position of the constructor as a starting point, and presetting an emergency exit as an ending point; and finally, on the constructed risk grid map, a heuristic search algorithm such as A * is adopted, and the geometric distance and the dynamic risk value between grid units are fused by a cost function of the heuristic search algorithm, so that an optimal evacuation path considering safety and efficiency is quickly searched. According to the method, the safety risk is quantified and fused into the path optimization process, so that the quick response to the dynamic environment and the real-time re-planning of the path are realized, and the efficiency and safety of personnel evacuation under the emergency condition are remarkably improved.

The invention relates to the technical field of industrial production management, in particular to a production path optimization method and system in the industrial internet. The method comprises the steps of obtaining and standardizing order, production line, resource and process data, and constructing a production basic data set; generating a reference production scheduling scheme based on a multi-objective optimization algorithm; monitoring a production execution state and an external event in real time to capture a preset production disturbance event; after the disturbance event is detected, the type and the influence level of the disturbance event are analyzed and evaluated; selecting a rescheduling strategy matched with the disturbance influence from a preset strategy library according to an evaluation result; and executing the selected strategy to generate a corrected scheduling scheme, and issuing the corrected scheduling scheme to a related production unit. According to the method, the hierarchical disturbance response mechanism is introduced, so that the impact on the whole production plan is reduced to the greatest extent while the emergency situation is effectively dealt with, and the huge calculation burden caused by unnecessary global re-optimization is avoided.

The invention relates to the technical field of numerical control machining production control, in particular to a numerical control machining dynamic scheduling method oriented to multi-machine collaboration, which comprises the following steps of: establishing a directed graph according to real-time production state data, and then obtaining an adjustment priority score of each machining device based on a preset graph neural network according to the directed graph; the plurality of processing devices are scheduled based on the directed graph and the adjustment priority score. Compared with the prior art, the dynamic state of the multi-machine collaborative processing system can be more comprehensively and accurately modeled by constructing the directed graph containing the processing equipment node features and the process relationship, an adjustment priority score calculation mechanism based on the graph neural network is introduced, the adjustment suitability of each equipment in an emergency can be intelligently evaluated, and the processing efficiency of the multi-machine collaborative processing system is improved. The quick response capability of the scheduling scheme to abnormal events is effectively improved, better scheduling performance and higher production efficiency are achieved, and the problem that in the prior art, a multi-machine-tool scheduling method is poor in flexibility is solved.

The invention relates to the technical field of spacecraft orbit control, and particularly discloses an orbit control plan generation method and system, electronic equipment and a storage medium, and the method comprises the steps: constructing an orbit control instruction set containing all preset orbit control instructions during the in-orbit flight of a target spacecraft, determining a target orbit control strategy of the target spacecraft in a target sub-time period after the preset time; determining each preset orbit control instruction screened out from the orbit control instruction set as a first orbit control instruction to be executed within a target time period after the preset moment according to the instruction issuing route, the spacecraft state and the orbit control mode of the target spacecraft at the preset moment; and based on the target orbit control strategy, the target order issuing time and the orbit control name, correcting the instruction basic parameter of each first orbit control instruction, and generating a target orbit control R sequence. According to the method, time consumption of orbit control preparation processes such as planning, countersigning and data generation can be reduced, the efficiency of orbit control planning is improved, and the method can be used as a backup means for collision avoidance in emergency situations.

The invention provides an emergency disposal measure chain coupling analysis system, and the system is characterized in that a disaster model service chain construction and management module is used for collecting various disaster models, packaging the disaster models, and storing the packaged disaster models in a plurality of storage nodes of a model storage cluster in a scattered manner; the knowledge base construction and accident evolution diagram generation module is used for generating an accident evolution diagram based on a pre-constructed knowledge base; the accident evolution diagram is used for representing a plurality of accident evolution processes with incidence relation and combined action; the real-time monitoring and dynamic deduction module is used for collecting various data of emergency scenes in the power industry in real time, and constructing a dynamic deduction model in combination with the accident evolution diagram and output provided by various disaster models corresponding to accidents; and the decision suggestion module is used for simulating the dynamic deduction model by using the domino effect and determining the optimal emergency decision suggestion information of the actual scene according to the simulation result. According to the invention, various associated disasters can be comprehensively processed through multi-module cooperation, and complex disasters and emergency situations can be handled.

The present invention relates to the technical field of rail transit evacuation mechanisms, and particularly to a new type of side door lifting evacuation ladder for urban rail vehicles; it includes a frame assembly, a driving mechanism, a rotating arm assembly, a manual operation device, and a pedal assembly: the frame assembly includes a frame structure, a guide rail slider pair, and a gas spring. The guide rail slider pairs are respectively fixed on both sides of the frame structure to guide the up and down sliding of the pedal assembly. One end of the gas spring is hinged to the frame structure, and the other end of the gas spring is hinged to the first-level pedal of the pedal assembly. The structure achieves the effect that the lifting evacuation ladder can be automatically opened and closed, with simple operation and high automation degree. At the same time, it can be used in emergency situations such as power failure, greatly improving the train's escape and evacuation ability.

A lock system having locks that can communicate directly with each other or through each other in the case of an emergency. Each lock in the lock system is capable of detecting an emergency by employing a sensor. When the lock detects an emergency, it initiates its own emergency response (e.g., locking doors, sending alarms) and in addition, that lock communicates with other locks so that those other locks can initiate its own emergency response.

A retrofitted bus featuring a progressive floor elevation system that gradually increases the height of modular flooring sections from front to rear, creating additional underfloor storage space and improving passenger visibility. The bus incorporates elevated passenger seating assemblies with rigid support structures and adjustable footrests for enhanced comfort and accessibility. The retrofitted stowage space may include insulation, climate control, and video monitoring systems. An engine safety cover, constructed from fire-resistant, thermally insulating, and structurally reinforced materials, integrates an extinguishing system for fire suppression. A swing-down egress mechanism at the rear of the bus serves as a structural component during normal operation and converts to an evacuation slide or stairs during emergencies.

A visual security collaborative inspection system, a computer device and a storage medium wherein a data acquisition module periodically monitors regional images by means of an inspection unit, and extracts people flow and face records. The model control unit deploys polling key points and procedures, the region segmentation module divides regions and constructs assembly line scheduling, and the middle layer unit stores marginal information and counts operation information. The database unit stores data and divides danger levels according to an action feedback scheme. According to the system, precise area monitoring, efficient data processing, reasonable task scheduling and intelligent cooperative early warning are integrally realized, comprehensive and intelligent powerful support is provided for security work, the security inspection efficiency and quality are effectively improved, and a safe environment is guaranteed. According to the invention, the communication unit with the middle layer is arranged, so that a target person or a target monitoring area can be covered when a monitoring system and an emergency occur, and the monitoring security efficiency and the inspection efficiency are further improved while monitoring dead angles are reduced.