12149 results about "Low power dissipation" patented technology

The invention discloses a data center intelligent operation and maintenance method and system based on an industrial internet of things, belongs to the field of image processing calculation, and aims to solve the problems of privacy protection deficiency, serious manual dependence and weak energy efficiency and safety. Full-link dynamic optimization is realized through an edge calculation layer and an adaptive clustering network, edge nodes are integrated with a wavelet transform noise filtering technology, dynamic denoising is performed on multi-band sensor signals of temperature, vibration, current and the like, heterogeneous device time sequence data are aligned in combination with a dynamic time warping algorithm, sampling frequency differences of multiple devices are eliminated, and the multi-band sensor signals are obtained. A weight formula is put forward, a cluster head is dynamically elected based on node residual energy, data similarity and a load coefficient, a transmission path of a high-delay area is optimized in combination with a multi-hop routing protocol, the packet loss rate and the signal strength are evaluated in real time, redundant coding is started for a high-packet-loss link or the high-packet-loss link is switched to a low-power-consumption mode. And synchronizing the dynamic topology state with the digital twin platform through an open platform communication unified architecture protocol.

A system receives vehicle metric data from a gateway device connected to a vehicle via a network connection. In a first power mode, the vehicle gateway device gathers vehicle metric data related to operation of the vehicle and / or location data and sends requested vehicle metric data to the system. Based on a lack of input, the vehicle gateway device enters a standby power mode to reduce the power consumption of the vehicle gateway device. The vehicle gateway device reduces the power consumption by reducing activity of the vehicle gateway device. Instead of reinitiating a network connection periodically to receive requests for vehicle metric data from the system, the vehicle gateway device maintains the network connection by sending keep alive messages between the vehicle gateway device and the system. The system uses the maintained network connection to request vehicle metric data.

Various embodiments herein provide techniques related to a main receiver of a user equipment (UE) and a wake-up receiver (WUR) of the UE. In the embodiments, the WUR receives a low-power wake-up signal (LP-WUS) from a base station. Based on the LP-WUS, the WUR may be configured to wake-up the main receiver of the UE, wherein the UE identifies received configuration information including duty cycle parameters and detects the LP-WUS based on the configuration information, and wherein the UE sets a state of the wake-up receiver based on an RRC state of the main receiver.

The invention relates to the technical field of low-power-consumption AI processors, and discloses a load balancing method of a low-power-consumption AI processor, a chip and a storage medium, the method comprises the following steps: performing cache resource division on a plurality of neural mimicry cores in the low-power-consumption AI processor to obtain a double-layer cache structure; performing characteristic analysis on the target calculation task, and constructing a calculation task directed acyclic graph and a dependency intensity matrix; performing task segmentation to obtain a subtask division scheme; creating a task-core mapping table; organizing the neural mimicry core into a plurality of concentric ring layers based on the task-core mapping table to obtain a multi-layer ring cooperative computing network; and calculating a plurality of performance indexes of each neural mimicry core based on the multilayer annular cooperative computing network, and performing dynamic load optimization to obtain a dynamic load optimization strategy. According to the invention, the load balancing of the low-power AI processor is realized, and the calculation efficiency and the energy utilization rate are improved.

The invention relates to the technical field of Internet of Things management, in particular to a lightweight Internet of Things management system based on a star flash protocol stack, which comprises a plurality of modules such as a star flash protocol communication module, a dynamic topology management module and a resource virtualization module. The satellite flash protocol communication module realizes low-power-consumption efficient connection of equipment; the dynamic topology management module optimizes the network topology by using an improved multi-agent Q learning algorithm; the resource virtualization module realizes accurate resource allocation through a weighted bipartite graph matching model; the safety protection module adopts an attention mechanism to detect abnormities and guarantee data safety; the edge co-processing module realizes intelligent task unloading by means of deep reinforcement learning; all the modules cooperatively work under the overall planning of the cross-module coordination controller, and the information barrier is broken. According to the invention, the problems of high communication energy consumption, poor resource allocation, weak security protection, low task processing efficiency, insufficient module collaboration and the like of a traditional Internet of Things system are effectively solved, the system communication efficiency, the resource utilization rate and the security are remarkably improved, and the task processing capability is enhanced.

The invention discloses a low-power-consumption single-emission out-of-order execution RISC-V processor, which comprises seven stages of pipeline architecture, namely an instruction fetch unit, an instruction buffer unit, a decoding unit, an emission unit for single instruction emission, a physical register file, an execution unit for parallel out-of-order calculation and a retirement unit in sequence, and the instruction fetch unit is used as the front end of the RISC-V processor; a five-level pipeline architecture formed by the decoding unit, the transmitting unit, the physical register file, the execution unit and the retirement unit is used as the rear end of the RISC-V processor; through the technical scheme, the invention provides a micro-architecture which is more balanced in performance and power consumption, so that the applicability of a processor core in a scene with high computing requirements and sensitive power consumption is improved.

An object tracking device, such as may be attached to a trailer to track movements of the trailer, may have various communication capabilities, such as cellular / LTE, Wi-Fi and GPS, which each have varying power requirements. A power optimization routine determines which communications should be performed to conserve battery while also providing frequent location updates. The routine determines if another plugged in tracking device is within low power Bluetooth (BLE) range and, if so, communications location via that device. If not, a Wi-Fi scan is performed and a lookup table is consulted for the corresponding location of any identified Wi-Fi access points. If location data cannot be found for an identified Wi-Fi access point, GPS location of the device is determined and the lookup table is updated to include the GPS location of the Wi-Fi access point.

The invention relates to a dynamic adjustable multi-core cooperation mechanism and power consumption optimization method and system based on an RISC-V architecture. The method comprises the following steps: 1) initializing a dynamic adjustable multi-core cooperation system; comprising the steps that a hardware module is initialized, and the hardware module comprises a high-performance core P-core, a low-power-consumption core E-core, a hardware scheduling unit HSU and a power management unit PMU; loading a task queue, and marking task characteristics; 2) core state monitoring; comprising the following steps: an HSU monitors a core state; the power management unit PMU monitors voltage and frequency; 3) dynamic task scheduling; comprising the steps that task characteristics are allocated to a high-performance core P-core or a low-power-consumption core E-core; the idle core enters a low-power-consumption mode; and 4) self-adaptive energy saving is realized, and task migration is carried out. And through a dynamic task scheduling and energy-saving optimization algorithm, the flexibility and efficiency of the RISC-V multi-core processor are remarkably improved.

Systems and methods are described for transmitting broadcasts by Peripherals, receiving the broadcasts by Centrals, and communicating with a Backend by Centrals. Specifically, a Peripheral may generate and transmit an encrypted broadcast packet to a Central, the Central may transmit the encrypted observation information to the Backend, which may decrypt the broadcast packet. Additionally, a Central may transmit a request for authorization to connect to a Peripheral to the Backend. If authorized by the Backend, the Central may connect to the Peripheral. Further, a Central may receive a plurality of broadcasts over a period of time. The Central may store information about the broadcasts and, at the conclusion of the period of time, transmit the information about the broadcasts and the last-received broadcast to the Backend.

The invention relates to the technical field of unmanned aerial vehicles, in particular to a low-power-consumption star flash control module applied to an unmanned aerial vehicle and a dummy pilot control method. The method comprises the following steps: acquiring an original control instruction of a real flying hand, and converting the original control instruction into an encrypted pulse signal containing a dynamic key; fusing a frequency spectrum camouflage signal simulating the environment background of a dummy pilot into the encrypted pulse signal, and then transmitting the encrypted pulse signal to the dummy pilot in a self-adaptive frequency hopping mode; synchronously analyzing the dynamic key at a dummy flying hand end and stripping the frequency spectrum camouflage signal to generate a virtual control track matched with the real operation behavior characteristics; and reversely modulating an actual response signal of the unmanned aerial vehicle based on the virtual control track, so that the unmanned aerial vehicle executes an action and forms dynamic error compensation with the virtual control track. According to the invention, a real flying hand can be effectively protected from electronic reconnaissance positioning and attack of an enemy, and the concealment is improved.

Various embodiments herein provide techniques related to transmission of a wake-up signal (WUS) from a base station to a user equipment (UE). In embodiments, the WUS may be received by a wake-up receiver (WUR) of the UE. Based on reception of the WUS, a main receiver of the UE may exit from a deep-sleep state or an off state. Other embodiments may be described and / or claimed.

The invention relates to the technical field of electrical equipment analysis, and particularly discloses an electrical equipment operation state monitoring system and method, and the method comprises the steps: the system is deployed at an electrical equipment site, integrates a low-power-consumption processor and an FPGA acceleration module, and is used for collecting multi-source data in real time, and executing lightweight model calculation and local early warning; and storing full data and operating a global analysis model, and communicating with the edge computing node to realize data collaborative analysis. According to the electrical equipment operation state monitoring system and method provided by the embodiment of the invention, through edge computing lightweight deployment, data preprocessing and local early warning are completed on the equipment site, and high efficiency of monitoring response and low-power-consumption hardware adaptation are realized; by means of an electromagnetic interference dynamic evaluation module, an acquisition strategy is intelligently adjusted, noise is suppressed, the reliability of multi-source data is guaranteed, the efficiency, precision and intelligent capability of electrical equipment state monitoring are remarkably improved, and technical support is provided for reliable operation of power system equipment.

The invention discloses a data security transmission method for an edge gateway of the Internet of Things, particularly relates to the technical field of data transmission, and is used for solving the problem that an encryption mode of existing low-power-consumption equipment is not flexible in data encryption transmission. Sensing data are collected and preprocessed through low-power-consumption equipment; analyzing a multi-dimensional load state of a communication channel through network state tensor decomposition, and evaluating a future load change risk; time distribution of encryption and decryption links is analyzed through a distributed time optimization game, and link delay balance is evaluated; and dynamically adjusting whether to use the lightweight encryption algorithm based on the analysis result. When a lightweight encryption algorithm is selected, the equipment encrypts data to generate preliminarily encrypted data and transmits the preliminarily encrypted data to the edge gateway; and the edge gateway performs high-strength encryption upgrading on the preliminary encryption data to generate deep encryption data and transmits the deep encryption data to the cloud server. According to the invention, the energy consumption of the low-power-consumption equipment is reduced while the data security is ensured, and the reliability of data transmission is improved.

The invention relates to the technical field of data packet transmission, and discloses a data packet transmission control method and device for a low-power-consumption dual-mode Bluetooth chip, and the method comprises the steps: obtaining a signal strength parameter, a power consumption parameter, a transmission rate parameter and an environment parameter of the dual-mode Bluetooth chip, inputting the parameters into a deep time convolution network, and carrying out the time sequence feature extraction, obtaining a transmission mode switching judgment result; calculating transmission state evaluation data; the chip transmitting power is adjusted in a grading mode, standby power consumption is controlled through a nanoamp LDO circuit, and a dynamic power control parameter is obtained; performing compression coding on the data packet to obtain a dual-mode transmission protocol configuration parameter; executing time sequence sampling, and constructing a dual-mode state feature sequence; the data packet delivery success rate, the end-to-end transmission time delay and the total power consumption of the system are calculated, transmission control parameter optimization is carried out through double-layer deep reinforcement learning, target transmission control parameters are obtained, and the optimal balance of the transmission performance and the power consumption of the dual-mode Bluetooth chip is achieved.

The invention discloses a clock tree synthesis method and related equipment, and the method comprises the steps: dividing a plurality of time sequence units which need to receive clock signals from a clock source into clustering clusters of different levels, and enabling the load capacitance of each clustering cluster of the same level to be balanced; according to a hierarchical sequence of clusters starting from the clock source, taking each cluster as a node of a clock tree, recursively constructing the clock tree, and inserting a target buffer at the position of each node for driving the corresponding node; analyzing the delay and offset of the constructed clock tree to obtain an analysis result; and if the analysis result indicates that the delay and offset of the clock tree do not meet the preset constraint condition, adjusting the clock tree until the adjusted delay and offset of the clock tree meet the preset constraint condition. According to the technical scheme, power consumption and offset can be effectively reduced, calculation efficiency and design reliability are improved, and the method is suitable for high-performance chip design under the advanced technology.

The invention discloses absolute pointing equipment, an absolute pointing method and interactive equipment. In order to solve the problems of high power consumption, low real-time performance and high cost in the existing scheme, a DVS is arranged in a pointing device and is used for sensing a flicker light source arranged on a pointed device; the pointed device is provided with three or more flickering light sources, and at least three flickering light sources are not collinear. Filtering the event stream output by the DVS, extracting pixel coordinates associated with the flicker light sources, and identifying the identifier of each flicker light source; obtaining a pose parameter of the camera according to the pixel coordinates associated with the flicker light source, and obtaining optical axis information of the camera according to the pose parameter of the camera; according to the optical axis information of the camera, obtaining coordinate information of an intersection point of the optical axis of the camera and the coplanar where the at least three flickering light sources are located; and the pointed device executes a corresponding response according to the coordinate information of the intersection point. The method has the advantages of low cost, low power consumption and high real-time performance.

The invention discloses an electromagnetic ultrasonic thickness detection method and system based on a miniaturized low-power-consumption internet of things, and the method comprises the steps: carrying out the parameter optimization processing through a pulse coding excitation algorithm according to the electromagnetic characteristic parameters of a target material and a preset detection precision requirement, and outputting a low-power-consumption excitation parameter set; driving an electromagnetic ultrasonic transducer to generate a detection signal based on the low-power-consumption excitation parameter set, and outputting a compressed echo signal; performing multi-scale intrinsic mode decomposition on the compressed echo signal, and outputting a thickness correlation characteristic parameter set; inputting the thickness correlation characteristic parameter set into a depth residual error-attention network model, and outputting a thickness prediction result; and performing multi-node data fusion on the thickness prediction result based on an Internet of Things cloud platform to generate a final thickness detection report. According to the embodiment of the invention, high-precision and traceable thickness detection can be realized based on the miniaturized low-power-consumption Internet of Things.

The invention relates to the technical field of ultra-low power consumption microcontrollers, and discloses an ultra-low power consumption microcontroller architecture design method and system, and the method comprises the steps: constructing a heterogeneous dual-core processor comprising a high-performance core and a low-power consumption core, and dividing the heterogeneous dual-core processor into a plurality of independent power domains; constructing a sub-threshold voltage operation system on a plurality of independent power supply domains, and configuring a multi-layer storage structure in the heterogeneous dual-core processor; recording task characteristic data by using a multi-level storage structure, executing task dynamic allocation between dual cores, and creating a dynamic task allocation mechanism; and performing static analysis and function block division on the application code based on a dynamic task allocation mechanism to obtain a plurality of function code blocks, and performing storage hierarchy and processor core allocation on the plurality of function code blocks to obtain a function code allocation result. According to the method, the dynamic migration of the workload and the optimal resource allocation are realized, and the energy consumption of the microcontroller in various working scenes is reduced.

The invention provides a low-power-consumption communication method and system based on a 5GRedCap portable WiFi network, and relates to the technical field of low-power-consumption communication, and the method comprises the steps: carrying out the adaptive control of a DRX period predicted according to WiFi access flow, setting the wake-up control of a RedCap communication terminal module, setting the adaptive switching of a bandwidth part, and setting the switching operation of a cellular communication system. By introducing a DRX cycle adaptive control mechanism based on WiFi access flow prediction and an intelligent wake-up strategy of uplink and downlink linkage into a 5G RedCap communication terminal module, the DRX sleep and wake-up cycle can be dynamically adjusted according to the actual service load state, the power consumption during the idle period of the terminal is effectively reduced, the energy waste caused by frequent wake-up is avoided, and the user experience is improved. And precise energy-saving management of the honeycomb side is realized.

The embodiment of the invention discloses an in-memory computing circuit based on a magnetic cache, and the circuit comprises at least one magnetic cache unit, at least one in-memory computing unit, and a timer. The magnetic cache unit in the at least one magnetic cache unit is used for caching data output by the corresponding in-memory computing unit as to-be-processed data within the corresponding data retention time; the timer is used for respectively setting data retention time for the at least one magnetic cache unit; and the in-memory computing unit in the at least one in-memory computing unit is used for extracting the data to be processed from the corresponding magnetic cache unit for calculation and outputting the computed data to other magnetic cache units. According to the embodiment of the invention, the invention achieves the flexible adjustment of the data retention time of the magnetic cache unit in various in-memory calculation scenes, and achieves the provision of a high-capacity cache for the data needed by in-memory computing under the lower power consumption.

The invention relates to the technical field of communication control, and discloses a self-adaptive frequency jump method, device and equipment for a low-power-consumption dual-mode Bluetooth chip, and the method comprises the steps: obtaining a current Bluetooth mode, detecting the channel quality of a communication environment, obtaining the basic characteristics of the channel quality, and constructing a channel decision management framework; the communication interference condition is detected in real time, the channel decision management framework is adjusted to avoid interference, and real-time channel quality monitoring and channel selection directivity analysis are carried out according to the adjusted channel decision management framework to obtain channel selection reference features. According to the method, channel selection and frequency hopping strategies are optimized through a self-adaptive frequency hopping mechanism, channel frequency hopping decision preprocessing of mode conversion is carried out on another Bluetooth mode on the basis of channel selection reference characteristics, collaborative decision of channel frequency hopping is carried out, and the dual-mode Bluetooth chip is driven to carry out channel frequency hopping processing. The problem that in the prior art, a fixed frequency hopping mechanism is difficult to adapt to the communication requirement of dual-mode Bluetooth is solved.

The invention discloses a relative pointing device and method and an interaction device. In order to solve the problems of high power consumption, low real-time performance and high cost in an existing scheme, the relative pointing method comprises the steps that a DVS is arranged in pointing equipment and used for sensing flickering light sources arranged on pointed equipment, the pointed equipment is provided with at least two flickering light sources, and corresponding imaging points are formed in the DVS; and according to the geometric center of the imaging point, the DVS resolution and the resolution of the pointed device, mapping the geometric center to the pointed device to obtain a mapping point. The invention has the advantages of low cost, low power consumption and high real-time performance, and can realize the relative pointing of the user to the pointed equipment.

The invention relates to the field of energy-saving computing, and discloses a low-power-consumption control method and system of a controller, which are used for realizing prediction-sleep-wake-up-response full-link hardware in the controller. Time sequence state data of a controlled object is collected in real time, and a predictive sleep window value is dynamically generated by utilizing a predictive cooperative computing unit, so that intelligent scheduling of sleep and awakening is realized, and the power consumption of a controller is effectively reduced. Meanwhile, in combination with the technologies of threshold comparison, DMA data transmission optimization and the like, the data processing efficiency is improved, and invalid data transmission is reduced. And on the awakening mechanism, an asynchronous awakening circuit and an interrupt request mechanism are adopted to ensure that power supply is quickly recovered and control response is executed when an effective instruction is received, so that the real-time performance of the system is guaranteed. According to the invention, a prediction algorithm, hardware acceleration and an intelligent scheduling technology are fused, the performance of the controller is ensured, the power consumption is obviously reduced, and the endurance time of equipment is prolonged.

The invention provides a low-power-consumption self-repairing and energy self-supplying mine dust monitoring sensor network system, which comprises a plurality of sensor nodes and a central monitoring platform, and is characterized in that data of all the sensor nodes are transmitted to the central monitoring platform in real time; the sensor network synchronizes environmental parameters, and performs data analysis, processing and visual display on the central monitoring platform; a plurality of sensors are integrated in each sensor node, and the sensors are used for monitoring different environmental parameters in a mine environment; the types of the sensors comprise a dust concentration sensor and a temperature and humidity sensor, and the environmental parameters comprise dust concentration, temperature and humidity; the problems of long-time operation, insufficient energy supply, node failure, unstable data transmission and the like of a dust monitoring system in a complex mine environment are solved. The system integrates a multi-source environment energy collection module, and the technologies of mechanical vibration, airflow kinetic energy, thermoelectric power generation and the like are adopted, so that self-power supply of sensor nodes is realized, and the requirement of frequently replacing batteries or wiring is avoided.

The invention discloses a meter reading system and a meter reading method based on dual-mode communication, and relates to the technical field of meter reading systems and methods, the meter reading system comprises a dual-mode communication module, intelligent data demand switching, strong NB-IoT penetration and far coverage; the BLE is short-distance, high-speed, low-power-consumption and fast in switching, the intelligent electric meter module and the high-precision metering chip measure electric energy accurately, historical data is stored in a large-capacity mode, the shell protection is high, the intelligent electric meter module adapts to severe environments, the data processing and storage module and the high-performance processor compress and process data, the SSD stores in a large-capacity mode and backups redundancy, and the user interaction module and the large-screen LCD clearly display power utilization information. And a button or a touch screen is convenient to operate, and a remote management and monitoring module is provided. Innovative technologies such as dual-mode communication are fused, high-precision metering, intelligent switching communication and convenient interaction are achieved, power line carrier standby and fault early warning diagnosis are achieved, meter reading efficiency, precision and reliability are improved, and development of an intelligent power grid is promoted.

The invention discloses a low-power-consumption Bluetooth device connection matching detection system and method, and relates to the technical field of Bluetooth communication, and the method comprises the steps: sending a broadcast signal to a surrounding environment, enabling a scanning function by a scanning device, scanning the broadcast signal, and recognizing a target device from a scanning result; evaluating the environmental complexity according to the environmental noise data and the broadcast signal strength, and dynamically adjusting a search strategy according to the environmental complexity to obtain a connectable device list; calculating a dynamic matching score of the connectable device according to the real-time state information, and performing identity verification on the connectable device according to the dynamic matching score to obtain a target connection device; the stability of connection matching is judged by periodically detecting signal strength and communication quality information, unstable connection is interrupted according to a detection result, and reconnection is tried. According to the invention, the problem of unstable pairing possibly occurring in the connection process of the BLE equipment can be effectively solved, and the reliability of the equipment and the user experience are improved.

The invention relates to a high-speed data synchronous acquisition and emission system suitable for a satellite communication MIMO (Multiple Input Multiple Output) system. The system comprises two acquisition and emission daughter cards and a clock management unit, the acquisition and emission daughter card comprises a multi-channel ADC acquisition unit and a multi-channel DAC refreshing unit; a multi-channel ADC acquisition unit of the acquisition and emission daughter card sends acquired data to an FPGA for processing through a JESD204B interface, and then the data is forwarded through an optical module; a multi-channel DAC refreshing unit of the acquisition and emission daughter card sends data received by the optical module to an FPGA for processing, and then the data is sent to a DAC through a JESD204B interface for interpolation filtering and IQ conversion, refreshed and output to a radio frequency front end; and the clock management unit realigns the phase of the device clock and the phase of the reference clock in each power-on process by using a trigger signal of the clock chip so as to realize inter-board synchronization. The system can improve the synchronization performance and reduce the power consumption.

The invention provides a design method and system for a high-integration-level low-power-consumption radio frequency front-end chip, and relates to the technical field of chips, the design method comprises the steps that a radio frequency transceiver, a power amplifier, a low-noise amplifier and a switch module are integrated on a single silicon substrate, and a self-adaptive bias control system is realized in the monolithic integrated radio frequency front-end chip; comprising the steps that a plurality of temperature sensors, a plurality of voltage sensors and a plurality of current sensors are arranged, a digital signal processor calculates optimal bias parameters of all modules according to a preset power consumption optimization algorithm, and bias control signals are sent to the corresponding modules through a digital-to-analog converter; based on the self-adaptive bias control system, dynamic power consumption management of the radio frequency front-end chip is achieved, when it is detected that radio frequency signal transmission is finished, the digital signal processor controls all the modules to enter a low-power-consumption standby state, and the overall power consumption of the chip is further reduced.

The invention relates to the technical field of display screen driving, in particular to a low-power-consumption display screen driving method and system based on the OLED technology, and the method comprises the steps: S1, carrying out the image feature detection, collecting the inter-frame brightness change rate, the sub-pixel gray level distribution and the regional temperature gradient, and generating a dynamic driving signal parameter; s2, voltage compensation adjustment: dividing a power consumption area according to a brightness change rate, calculating a brightness compensation coefficient and correcting the voltage by combining gray level distribution and a temperature gradient, and realizing sub-pixel voltage dynamic adjustment; and S3, refresh frequency control: adjusting a local refresh rate according to the compensation coefficient and the correction voltage, executing a frequency reduction strategy on a high-power-consumption area, triggering ghosting suppression on a low-power-consumption area, and applying a temperature threshold to constrain a refresh upper limit. According to the invention, energy-saving driving, ghost suppression and brightness balance of the OLED display screen are realized, and the display performance and the system intelligence are effectively improved.

The invention relates to the technical field of network monitoring, in particular to a method for constructing a dynamic self-adaptive alarm monitoring network based on LoRa and Ad-hoc ad hoc network technology, which comprises the following steps: (1) integrating a dynamic Ad-hoc ad hoc network routing protocol on each LoRa node, so that each node can automatically discover neighbor nodes, establish and maintain a dynamic routing table, and automatically discover the neighbor nodes; a non-centralized network architecture is realized; (2) through a multi-hop communication mode, the alarm information can be flexibly transmitted among the nodes, the coverage range of the network is expanded, and the system adapts to a complex geographical environment; and (3) by utilizing the characteristics of low power consumption and long-distance transmission of the LoRa technology, stable communication between the nodes in a large range is ensured, meanwhile, the energy consumption is reduced, and the working life of the nodes is prolonged. Through the dynamic self-adaptive Ad-hoc routing protocol, the network can automatically adjust the routing according to the node state and the environment change, the dynamic change of the network topology is adapted, and the reliable transmission of the alarm information is ensured.