681 results about "Smart gateway" patented technology

The invention discloses a power failure monitoring system, and relates to the technical field of failure monitoring. During operation of the system, multi-dimensional data acquisition is carried out on key equipment of a transformer substation and a power distribution room, the operation state of the equipment is comprehensively covered through real-time acquisition of data of various sensors, and data acquired by a data acquisition module is preprocessed; the intelligent gateway equipment is deployed, real-time data analysis and preliminary fault diagnosis are carried out locally, the running state of the equipment is monitored in real time through set rules and threshold values, potential faults are detected, preliminary alarm is given out, and the system automatically judges the severity of the faults and decides whether to take automatic control measures including load switching or equipment power failure or not. Meanwhile, alarm information is generated and sent to operation and maintenance personnel, data, fault diagnosis results and automatic control measures in system operation are fed back, and a deep learning model and an edge calculation strategy are periodically updated through online learning and model updating.

The invention provides a multi-protocol communication intelligent switch gateway control method and device, and the method comprises the steps: constructing a knowledge graph according to a network topological graph and protocol information of an intelligent switch, and obtaining a switch networking knowledge graph; determining an inference rule according to the switch networking knowledge graph to obtain an inference rule engine; acquiring a historical data packet of the intelligent switch in a preset time period, and analyzing and converting the historical data packet to obtain a data conversion module; integrating the inference rule engine and the data conversion module to obtain a protocol conversion module of the intelligent gateway; dynamically designing the protocol conversion module according to a preset implementation framework to obtain a dynamic protocol adaptation mechanism; evaluation and performance optimization are carried out on the dynamic protocol adaptation mechanism, an optimized protocol conversion system is obtained, and the optimized protocol conversion system is used for assisting the intelligent switch gateway to control the intelligent switch.

The invention relates to the technical field of data processing, and discloses a multi-protocol fusion Internet of Things equipment intelligent gateway data conversion method and system. The method comprises the following steps: collecting a multi-protocol equipment data packet, and extracting protocol features to construct a vector library; protocol types are identified based on the vector library, data are analyzed, and a data object set containing semantic tags is constructed; semantic correlation is analyzed through an adaptive learning algorithm, and a dynamic protocol semantic mapping matrix is established; converting the data into a standard format according to the mapping matrix and recording a matching degree to form a target data pool; and extracting fusion data from the data pool, recoding according to a target protocol format, and outputting a data frame. The problem that an existing multi-protocol fusion data conversion method lacks protocol semantic understanding and self-adaptive learning ability is solved, and semantic consistency and conversion quality of data conversion among multi-protocol equipment are improved.

The invention discloses a converter station intelligent gateway image recognition system based on a YOLOv3 target detection algorithm, and the system employs a three-stage cooperative processing architecture design, and builds seamless connection of a multispectral image collection layer, an edge calculation gateway layer, and a cloud operation and maintenance management platform layer. The invention further provides an equipment defect detection method based on the system, bimodal image data are collected through the visible light camera and the thermal infrared imager, preprocessing operation is carried out, equipment positioning and defect classification are synchronously executed by utilizing the improved YOLOv3 network, a structured detection result is output, temperature field analysis is carried out on an infrared thermal image, and the equipment defect detection result is obtained. And an abnormal heating area is identified, when defects are detected, multi-level risk response early warning is generated, and a defect diagnosis report is pushed to the cloud operation and maintenance management platform layer. Real-time image analysis of converter station equipment can be realized, the method is suitable for automatic detection of typical fault defects of the equipment, and the operation and maintenance efficiency of a power grid is improved.

The invention relates to a method and a system for automatically updating an intelligent gateway and synchronizing a server. The method comprises the following steps: carrying out system self-inspection and network connection verification on the intelligent gateway to obtain network state information; obtaining version information of the intelligent gateway according to the network state information, and performing local storage management to obtain an update request data packet; establishing a secure communication connection with an OTA server based on the update request data packet to obtain a session credential; performing version comparison of multi-objective optimization by using the session voucher, and executing intelligent update decision making to obtain an update execution plan; downloading an update file from the OTA server according to the update execution plan and performing integrity verification to obtain a verified firmware image file; and deploying the verified firmware image file to the standby partition and executing update installation to complete state synchronous feedback. According to the method, the adaptability and accuracy of the update decision are improved, dynamic resource scheduling in the update process is realized, and the update is ensured to be carried out in the optimal system state.

The invention discloses a ship lock control system process safety detection and early warning method, and relates to the technical field of ship lock process safety, and the method comprises the steps: S1, data collection unit construction and data collection analysis; the data acquisition unit can comprehensively acquire key process data of the ship lock, the CPU module accurately analyzes and judges potential safety hazards and outputs early warning, the digital quantity input module achieves wide data acquisition, the output module provides protection signals, and the communication module guarantees data communication of all the units. The storage and forwarding unit realizes data decoding, storage and efficient forwarding through a code scanning gun and a two-dimensional code display screen, an intelligent gateway ensures stable transmission of data, an interactive touch screen is convenient for an operator to check a system state, set parameters and query data, and the whole process safety system is independent of an industrial control system, so that the operation safety and reliability of the ship lock are enhanced; the defects of an existing ship lock control system in the aspects of data acquisition and analysis, communication storage, interaction functions, safety guarantee and the like are effectively overcome.

The invention discloses an automatic protocol matching system for intelligent gateway sensor equipment of a power distribution station house. The automatic protocol matching system comprises a protocol feature deep analysis unit, a graph convolutional neural network topology construction unit, an equipment protocol suitability evaluation unit, a real-time data transmission monitoring unit, an abnormal protocol correction unit and a protocol matching result output unit. The system analyzes sensor protocol characteristics, combines power station house sensor deployment and transmission path construction graph models, evaluates protocol suitability, monitors transmission data, corrects abnormal protocols, and finally outputs a matching scheme. The graph convolutional neural network and the power station room data transmission detection model are utilized to realize automatic protocol matching, improve the fit degree of adaptation and an actual scene, form an exception handling closed loop, reduce interaction failures, improve the data transmission efficiency and stability of the power distribution station room, and meet the requirement of intelligent reconstruction.

The invention provides an intelligent gateway equipment interconnection method and system based on a Bluetooth ad hoc network protocol, and is applied to the field of communication data processing. Through adaptive node management, real-time updating of a network topology structure and optimization of a connection priority, communication stability and load balance are ensured, generation of a network bottleneck is avoided, data can be uniformly distributed among a plurality of intelligent gateways through intelligent data flow distribution, overload of a part of gateways is avoided, the overall system efficiency is improved, and the system performance is improved. And local execution of edge computing optimizes the response speed and reduces delay, and key control tasks such as equipment linkage, data distribution and abnormal response are cooperatively processed through a distributed computing architecture, so that the flexibility and the processing capability of the system are improved.

The invention relates to a satellite Internet of Things scene-oriented swan-gap intelligent gateway architecture, which is used for link adaptation between a satellite Internet of Things terminal and a sensor in an application scene of a satellite Internet of Things, and comprises a data transmission module, a data processing module and a data management module, wherein the data transmission module comprises a serial port communication transmission unit and a wireless communication transmission unit; the swan intelligent gateway performs data transmission and data reception with the sensor and the satellite Internet of Things terminal through the serial port communication transmission unit or the wireless communication transmission unit; the data processing module comprises a protocol conversion unit, a data encryption unit, a data priority division unit and a data compression unit which are respectively used for realizing core functions of protocol conversion, data encryption, data priority judgment and data compression; and the data management module is mainly responsible for simple caching of data, so that the cloud platform can perform remote short-term access.

The invention relates to the technical field of gateway equipment management, and discloses an intelligent gateway equipment remote management and control method based on a swan-mong system, which realizes tight connection and data sharing between gateway equipment and the system by using a distributed architecture of the swan-mong system. And real-time working state data of the gateway and the sensor connected with the gateway are collected through the unified equipment management platform. In combination with a machine learning algorithm, a fault prediction model is trained, and the model can predict the potential fault risk of the gateway equipment, including the type, grade and time node of the fault. And deploying the trained model at an edge computing node of the swan gap system, analyzing and processing data in real time, predicting equipment faults, and automatically generating a control instruction according to a preset strategy. Instructions are sent to gateway equipment in real time, and remote management and control are achieved. According to the invention, the stability and reliability of the gateway equipment are improved, real-time equipment monitoring and management are realized, the risk of data loss or error is reduced, and the maintenance cost and downtime are reduced.

The present application relates to a power distribution Internet of Things terminal debugging and testing system. The system comprises a cloud test service center (100), a power distribution Internet of Things terminal debugging device (200) and an intelligent gateway (300); the intelligent gateway (300) is used for acquiring terminal information of power distribution Internet of Things terminals and uploading the terminal information to the cloud test service center (100); the cloud test service center (100) is used for issuing a test command to the power distribution Internet of Things terminal debugging device (200) on the basis of the terminal information; the power distribution Internet of Things terminal debugging device (200) is used for carrying out signal conversion on the test command, determining an analog signal corresponding to the test command, and applying the analog signal to the power distribution Internet of Things terminals; the intelligent gateway (300) is used for acquiring digital signals and transmitting the digital signals to the cloud test service center (100), wherein the digital signals are obtained by converting the analog signal by the power distribution Internet of Things terminals; the cloud test service center (100) is used for determining test results of the power distribution Internet of Things terminals on the basis of the digital signals. Fully-automatic closed-loop debugging can be implemented, and the power distribution efficiency is greatly improved.

The invention provides an intelligent gateway data processing method for industrial multi-protocol adaptive conversion, which aims at the current situation that various heterogeneous communication protocols exist in an industrial site and is based on a complete process of protocol feature vector extraction, machine learning automatic identification, semantic level analysis and mapping, dynamic rule configuration and protocol frame reconstruction. By constructing a protocol feature model library, semantic contents of original data frames are automatically identified and analyzed, and accurate equivalent conversion of multi-protocol data is further realized in combination with a protocol conversion rule and a unified semantic model. The reconstruction function frame realizes frame structure assembly, data coding and check calculation, and ensures that an output frame completely conforms to a target protocol specification. The method has high compatibility, high expansibility and good real-time performance, and the industrial protocol intercommunication efficiency and the automation degree are remarkably improved.

The invention provides a transformer area voltage out-of-limit autonomous system based on active-reactive comprehensive control, which comprises a group control and group scheduling master station, a power distribution intelligent gateway, a protocol converter and an inverter, and is characterized in that the group control and group scheduling master station communicates with the power distribution intelligent gateway in a 4G network mode, the power distribution intelligent gateway receives an instruction of the group control and group scheduling master station, and the protocol converter is connected with the inverter. The intelligent power distribution gateway is used for receiving operation information of the inverters and transmitting remote signaling and telemetering information to the group control and group dispatching master station at the same time, the intelligent power distribution gateway is communicated with the protocol converter through a broadband power line carrier HPLC, the intelligent power distribution gateway receives the operation information of the inverters and can decompose received active and reactive instructions of the intelligent power distribution gateway to the inverters at the same time, and the inverters are connected with the protocol converter. And the protocol converter communicates with the inverters through an RS-485 protocol, and the protocol converter is used for forwarding an adjustment instruction issued by the intelligent power distribution gateway to each inverter, collecting inverter data and uploading an execution result to the intelligent power distribution gateway at the same time.

The invention discloses a cross-domain data fusion method and system for distribution network middle stations based on a knowledge graph, and particularly relates to the technical field of data processing and fusion based on the knowledge graph. Firstly, intelligent gateway equipment is adopted to collect operation, fault, maintenance and other data of all systems and all lines related to distribution network operation, the data are transmitted to a data processing and storage module through a 5G communication protocol port transmission technology, and data cleaning, data integration, data conversion and other operations are carried out; classifying and storing the data, and then constructing a mapping knowledge domain in the distribution network; according to the method, a 5G communication protocol port transmission technology and a composite model are specifically adopted to perform knowledge extraction and knowledge fusion of graph construction, so that the technical problems of data islands and other data processing in a distribution network are solved, data sharing, service sharing and resource integration are effectively realized, and the reliability of the distribution network is improved. The problem that data between distributed systems in the current distribution network field is difficult to cooperate is solved, semantic integration and sharing of data between multiple systems are achieved, and the operation and maintenance efficiency and the intelligent level of a power distribution network are improved.

The invention relates to an interface layout generation method based on an intelligent gateway and the intelligent gateway, and relates to the technical field of Internet of Things, and the interface layout generation method comprises the steps: obtaining and transmitting an instrument monitoring video to the intelligent gateway, and recognizing an instrument reading; according to an equipment fault dynamic judgment mechanism, combining with sensor data, fusing and analyzing instrument reading to obtain a data analysis result, and activating a corresponding operation trigger point; determining an interface function weight according to the operation trigger point in combination with a preset weight evaluation model, and constructing an interface layout template in combination with a dynamic layout generation algorithm; capturing and coding user operation behaviors, generating an interface operation event, and correcting the interface layout template in combination with event processing logic to obtain an optimal interface layout; an interface function weight is determined by constructing a weight evaluation model, a reasonable same-screen layout is automatically generated according to different business requirements and use scenes in combination with a dynamic layout generation algorithm and an interface layout template storage calling mechanism, and efficient and visual information display is obtained.

The invention discloses a communication method and system for realizing three-in-one network based on an intelligent CPE gateway, and relates to the technical field of network communication, and the method comprises the steps: connecting a telecommunication network, a broadcast television network and the Internet through the intelligent CPE gateway, collecting bandwidth, delay and packet loss rate data in real time, and storing the data in a time sequence database; analyzing historical and real-time data based on a flow prediction model of machine learning, generating a network demand prediction result of a future time period, and dynamically allocating multiple network resources by using a reinforcement learning algorithm; according to the priority of the service type, splitting the data flow to different network links by adopting a multi-path transmission protocol, and meanwhile, carrying out localization processing on the high-time-sensitivity service through an edge computing node; and providing a user-defined interface, setting the bandwidth priority of the service, and feeding back a user manual strategy to the resource allocation model. According to the invention, efficient interaction of three-network data is realized through multi-network access and protocol conversion of the intelligent CPE gateway.

The invention discloses an equipment health management and predictive maintenance method and system based on an industrial intelligent gateway, and relates to the technical field of industrial automation and predictive maintenance, and the method comprises the steps: collecting equipment data through a multi-source sensor, and carrying out the preprocessing of the equipment data through an intelligent gateway; mapping the high-quality data to a digital twinborn model for health state evaluation; based on an evaluation result, fault prediction is carried out by adopting knowledge-driven and data-driven fused intelligent diagnosis; generating and executing a personalized maintenance strategy; according to the system and the method, the problems of insufficient multi-source data fusion, insufficient health assessment accuracy and lack of individuation of a maintenance strategy are solved, and precision, self-adaption and resource optimization of equipment health management are realized.

The invention relates to the technical field of intelligent lighting control systems, in particular to an underground garage lighting control system and method based on artificial neural network PID and a storage medium. Comprising a brightness sensor, a traffic flow sensor, an illuminance sensor, a temperature and humidity sensor and a microwave speed measurement sensor which are arranged inside and outside a garage; the intelligent network connection lamp comprises an intelligent gateway unit, an LED dimming driving unit and an LED lamp, and the intelligent gateway unit is used for receiving the control instruction and communicating with the upper computer; and the upper computer is used for receiving the data of the detection unit, generating an optimal illumination control curve based on a garage comfort illumination model and a rendezvous zone fuzzy control model, and adjusting the illumination of lamps in each zone in real time through an RBF neural network PID (Proportion Integration Differentiation) algorithm. According to the method, self-learning optimization is achieved, PID parameters are adjusted online through the neural network RBF, the method adapts to long-term dynamic influences such as differences of different types of garages, seasonal changes and equipment aging, and optimal control is given.

The invention provides an AI artificial intelligence machine learning system and an intelligent gateway, and relates to the technical field of AI artificial intelligence control, and the system comprises a communication module which is in bidirectional connection with an air conditioning unit, a security and protection sensor array and an intelligent illumination network in a building through a plurality of Internet of Things protocols, collects equipment operation data flow in real time, and sends the data flow to a server; comprising an air conditioner compressor current waveform, a security alarm code and lighting equipment light intensity time sequence data; and the edge calculation module is used for extracting an air conditioner energy consumption characteristic value, a security alarm signal and an environment temperature and humidity data set according to the equipment operation data flow, and storing the processed structured data set to a simulation object memory area through a simulation object classification algorithm. Through cooperation of multiple modules, real-time acquisition and processing of multi-source equipment data, analysis of personnel and environment information, intelligent generation of control instructions and adaptation to various equipment through protocol conversion are realized, so that the building environment comfort, safety and energy utilization efficiency are improved, and system compatibility and emergency response capability are enhanced.

The invention discloses a real-time state synchronization method and system, electronic equipment and a storage medium, and belongs to the technical field of network communication.The method comprises the steps that in response to a connection request from a client side, persistent connection with the client side is established, and a state subscription relation is recorded; performing semantic analysis on the state change event from the business service layer to determine a push priority; a corresponding target intelligent gateway is found according to the target object identifier of the state change event, a pushing strategy is executed by fusing the client network condition maintained by the target intelligent gateway and the pushing priority, and the state is updated and synchronized to the related client; and monitoring the health state of the persistent connection, and when the connection is abnormal and recovered, performing state synchronization with the client by the intelligent gateway based on the stored incremental state information. According to the invention, the problems of unreliable connection, redundant pushing and poor expansibility of a traditional SSE scheme are solved, and high-reliability, high-efficiency and horizontally-expandable real-time state synchronization is realized.

The invention discloses an industrial perception data management system and method. The system comprises a management platform on a cloud side, industrial equipment on an edge side and an intelligent gateway, and the management platform is configured with an information model template and standard format nodes containing various sensing data types and issues a collection instruction through the intelligent gateway; the industrial equipment responds to the instruction and sends sensing data of each measuring point carrying the dynamic measuring point identifier to the intelligent gateway; the intelligent gateway matches and converts the target sensing data according to the gateway configuration template, and sends the target sensing data to the management platform based on a preset protocol; the gateway configuration template stores a mapping relationship between the measurement point identifier and the information model node and a data format conversion mode; and the management platform receives and stores the target sensing data to the corresponding information model nodes, and constructs an information model of the industrial equipment. The technical problem that multi-source sensing data is difficult to circulate and share due to the problems of data formats, transmission protocols and the like in an industrial equipment management scene is solved.

The invention discloses an electric power centralized control system transformer state acquisition system and method based on edge analysis, and belongs to the field of enterprise substation operation and maintenance technology management.The system comprises an intelligent gateway machine, an edge analysis device, a camera and a transformer winding temperature measuring device; the edge analysis device is connected with the intelligent gateway machine, the camera and the transformer winding temperature measurement device, and the camera and the transformer winding temperature measurement device are arranged on a transformer site and used for collecting transformer oil liquid level video information and transformer winding temperature information respectively and transmitting the information to the edge analysis device. The intelligent gateway machine is deployed in a substation secondary room and is used for acquiring power load information of a transformer and transmitting the power load information to the edge analysis device; and the edge analysis device is deployed in a transformer substation secondary room, analyzes the transformer oil liquid level video information, the transformer winding temperature information and the transformer power load information through an edge analysis algorithm to obtain a transformer health state value, and transmits the transformer health state value to the electric power centralized control system after conversion.

The invention discloses a smart park alarm method and system based on an intelligent gateway, and the method comprises the following steps: accessing a heterogeneous terminal through a multi-protocol southbound interface, generating a standardized event set, and building a spatial topology table; performing quality evaluation on the standardized event set to form a sequential cleaning event stream; target detection is carried out based on the sequential cleaning event flow, and a semantic event flow is output; performing space-time matching on the semantic event flow to obtain a fusion event set; according to a preset grading standard, a grading warning set is generated, and a linkage instruction set is generated; scheduling and executing the execution end according to the linkage instruction set to form a processing state feedback; integrating the grading warning set and the processing state feedback into an evidence packet, and reporting the evidence packet in parallel through the main and standby reporting links; and archiving and indexing the evidence packet and the reported result, generating an auditable record, and finishing synchronous updating with an upper platform. According to the invention, the smart park alarm method and system are realized.

The invention relates to the technical field of power grid monitoring, and discloses a power grid power equipment anomaly prediction method, system and device, and a storage medium, which are used for solving the problem that the existing single data source and threshold alarm prediction mode cannot adapt to advanced prevention and high-precision state detection. The method comprises the following steps: acquiring real-time electrical quantity time sequence data, image data and a monitoring report of each piece of power equipment in an equipment abnormal area in a power grid through an edge intelligent gateway; respectively carrying out feature extraction on the real-time electric quantity time sequence data, the image data and the monitoring report to obtain an electric quantity feature vector, a visual feature vector and a semantic feature vector; and carrying out weight fusion on the electrical quantity feature vector, the visual feature vector and the semantic feature vector, and carrying out abnormal state prediction based on the fused feature vector and a historical feature sequence.

The invention relates to the technical field of gateway equipment data processing, and provides an intelligent alarm method, device and equipment of a multifunctional gateway and a storage medium, and the method comprises the steps: obtaining smoke concentration data and door magnetic state data of the intelligent gateway equipment to generate a corresponding alarm signal, carrying out the noise filtering and time window analysis of the alarm signal, and obtaining the smoke concentration data and the door magnetic state data of the intelligent gateway equipment. The alarm intensity index and the alarm duration index are obtained, the alarm intensity index and the alarm duration index are utilized to sort the alarm priorities, an alarm scheme is obtained, and a fire-fighting response instruction is generated based on the alarm scheme. Smoke concentration data and door magnetic state data are collected for real-time analysis and association processing, a fire-fighting response instruction is generated, the alarm accuracy and response efficiency are improved, potential safety hazards caused by false alarm and leakage alarm are reduced, and the problems that in practical application, a current alarm system is poor in adaptability in complex scenes, and fire-fighting performance is poor are solved. The processing of a plurality of alarm signals is not accurate enough, and false alarm or missing alarm occurs.

The invention discloses a mobile intelligent safety supervision device based on multi-mode perception and edge calculation, and the device comprises a camera which is a high-performance dual-camera with adjustable height and visual angle, is fixed on a telescopic aluminum alloy support, integrates a loudspeaker and a voice communication function, and supports the autonomous network and 4G bidirectional communication; the edge intelligent gateway is used as a core computing unit, supports a neural network algorithm to analyze audio and video data, and realizes real-time identification of security behaviors; the Beidou positioning module is integrated on the edge intelligent gateway and provides centimeter-level high-precision positioning; the data storage module is used for large-capacity data storage and supporting storage and retrieval of audio and video streams and analysis data; the network transmission module is a multi-protocol network transmission module and supports WiFi, 4G and wired network transmission; and the power supply module is high in capacity and adopts a pluggable battery design. Omnibearing high-definition video monitoring can be realized, and the requirements of real-time communication and real-time early warning between project responsible personnel and on-site construction personnel are met.

The invention relates to a smart greenhouse precise fertilization system and fertilization method based on Internet of Things, and belongs to the technical field of Internet of Things smart agriculture. Comprising an environment monitoring module, a crop growth monitoring module, a greenhouse environment adjusting module, a gas fertilizer applying module, a water and fertilizer applying module, a pesticide spraying module, a wireless control module, an intelligent gateway and a remote control module, the intelligent gateway sends data to the remote control module, the remote control module can check monitoring data and issue a control command, and the greenhouse environment adjusting module, the gas fertilizer applying module, the water and fertilizer applying module or the pesticide spraying module are controlled through the wireless control module to perform corresponding adjusting, fertilizer applying or pesticide spraying work; according to the greenhouse management system, automation and intelligence of greenhouse management are achieved, manual intervention is reduced, labor intensity and management cost are reduced, and energy and water are saved through rainwater recycling.

The invention relates to the technical field of intelligent gateways, in particular to an unmanned mine car multi-group radar external parameter calibration method and calibration system. The unmanned mine car multi-group radar external parameter calibration method comprises the following steps that a foam rectangular calibration plate serves as a core, a novel calibration plate frame is designed in cooperation with a corner reflector, and meanwhile a small calibration field capable of meeting unmanned mine car multi-laser radar and millimeter wave radar external parameter calibration tasks is designed based on the calibration plate frame; and performing laser radar data recording on the miniaturized calibration field to obtain laser radar point cloud data in the calibration field, and realizing calibration target extraction and constraint extraction according to the point cloud data of the calibration field. The method is suitable for unmanned mine car multi-laser radar and millimeter wave calibration, the efficiency is improved, and therefore the problems that in the prior art, the unmanned mine car is poor in calibration process precision, insufficient in global optimization and expansibility and the like in the outdoor rugged environment are solved.

The invention belongs to the technical field of dynamic data forwarding, and discloses a dynamic data forwarding method and system based on an intelligent gateway. Comprising the following steps: collecting multi-dimensional information (CPU utilization rate, memory utilization rate, network flow, equipment operation time, environment temperature, power supply voltage and equipment type) of a gateway, and combining a support vector regression (SVR) model to predict a future energy consumption value. And the energy consumption is predicted in real time based on the updated feature vector. Establishing a topological node of the gateway, and comprehensively considering factors such as predicted energy consumption, node electric quantity, working voltage, environment temperature and the like to obtain a state score; during path selection, the path with the highest score is selected according to the state score of the node so as to ensure that the energy consumption in the data transmission process is minimized, and the service life of the gateway is prolonged.

The embodiment of the invention provides a trusted IoT (Internet of Things) access method and equipment based on a block chain. The method is applied to the technical field of communication, and comprises the following steps: firstly, generating a key for the Internet of Things in a TEE environment of an intelligent gateway, encrypting a resource address of an Internet of Things device, preventing the key from being acquired by malicious software, preventing the key from being counterfeited, and ensuring the security of the Internet of Things device accessing a block chain network, and a block chain stores a key index instead of the key, so that the security of the Internet of Things device accessing a block chain network is ensured. The risk of key leakage is further reduced; by setting a device management contract and a policy authority contract, the authority of a user for accessing the Internet of Things device is inquired and managed, fine control of the access authority is realized, and only the user having the authority can obtain a corresponding secret key from an intelligent gateway to decrypt an encrypted resource address provided in a block chain. According to the arrangement, leakage of the resource address is effectively prevented, and sensitive information is prevented from being leaked.