1720 results about "Data interchange" patented technology

The invention relates to the technical field of unmanned aerial vehicle clusters, in particular to an unmanned aerial vehicle cluster formation method. Comprising the following steps: system initialization and configuration, cluster communication and data exchange, collaborative algorithm calculation and control input, positioning and navigation assistance, global and dynamic task planning setting, energy management and optimization strategy implementation, and biological enlightenment formation control application. Compared with a traditional formation operation method, the unmanned aerial vehicle cluster formation method is higher in autonomy, and the unmanned aerial vehicle cluster formation is more accurate through an advanced autonomous flight control system and a sensor technology. Information sharing and cooperative actions among the unmanned aerial vehicles in the cluster formation are realized through an efficient communication technology, and even if part of the unmanned aerial vehicles fail, other unmanned aerial vehicles can still continue to execute tasks.

The invention relates to the technical field of data processing, and discloses a cold and hot data exchange method and system based on optical storage and a storage medium. The method comprises the following steps: performing access feature acquisition and analysis on data in the optomagnetic hybrid storage system, calculating an access life cycle factor, generating a logic interval heat evaluation result, performing temperature grading, formulating a cold and hot data placement strategy, generating a data placement mapping table, executing batch migration according to priority, and updating a data position record. According to the method, the problem of how to realize logic interval hot degree accurate identification, temperature grade dynamic grading, storage mapping optimal matching and batch migration task efficient organization under the optomagnetic hybrid architecture is solved.

Described herein are systems, devices, methods, and media for an emergency response data exchange system. The system provides an operations center emergency management application with a textual and / or graphical notification of emergency communications initiated on a premises managed by the operations center. The system exchanges operations center data (e.g., floorplans, video feeds, point of contact information, building access controls) with an emergency communications center (ECC) and / or with a first responder device to facilitate reducing emergency response times. The system selectively establishes communications (e.g., messaging windows) between the operations center, ECC, and / or first responder device to facilitate real-time information sharing between relevant parties of an emergency.

The invention discloses a multi-agent collaborative data exchange dynamic routing optimization method and system, and relates to the technical field of network communication, and the method comprises the steps: obtaining the real-time state information of each node in a network, and outputting a node state data set; constructing a historical state sequence of each node, calculating a load change trend, and outputting a routing adjustment signal when the load change trend reaches a load critical value; calculating a collaborative weight according to the network contribution degree of each agent, establishing a task allocation mapping relationship among the agents based on the collaborative weight, and outputting a collaborative scheduling result; determining a candidate path set, performing index evaluation on paths in the candidate path set, and outputting an optimal routing path; and executing data transmission, obtaining a quality difference between an actual transmission effect and an expected effect, and performing parameter correction. According to the invention, active optimization and multi-target balance of network routing are realized, and routing efficiency and system stability in a dynamic network environment are improved.

The invention discloses an intelligent unmanned rescue boat, a rescue control method and rescue control equipment. The rescue boat comprises a boat body, a power system, a multi-sensor system, a communication system, a processor and a memory. The multi-sensor system comprises a visual sensor, a thermal imaging sensor, a sonar sensor, a positioning sensor and a meteorological sensor. The communication system is used for exchanging data with external equipment; the processor is connected with the multi-sensor system and the communication system; the memory is connected with the processor and stores a computer program; and the processor executes the program in the memory, controls the multi-sensor system to scan a surrounding water area, identifies and positions at least one drowning person, determines an obstacle avoidance demand, generates an optimal rescue path, and controls the power system to move the ship body according to the optimal path to implement rescue. According to the invention, rescue tasks can be efficiently and accurately executed under complex sea conditions, and the success rate and efficiency of sea rescue are improved.

The invention discloses an equipment access control method and system based on a security sandbox, which adopts an advanced virtualization technology, constructs a highly isolated operation environment, combines technologies such as deep packet inspection, system call interception and process operation logic analysis, comprehensively monitors access behaviors of processes in the sandbox to virtual equipment, and improves the access performance of the virtual equipment. And the security and credibility of the equipment are evaluated, and illegal processes are prevented from running on the access terminal, so that the security access control of the equipment is realized. The monitoring comprises data packet content, protocol filtering, threat detection, system call interception, process creation, execution and termination behavior monitoring and the like. In combination with a trust evaluation algorithm, behavior data features are collected and extracted, trust scoring is performed by applying a machine learning model, and the equipment trust level and the access strategy are dynamically adjusted according to the score. According to the invention, the access control strategy is managed in a unified manner and deployed quickly based on the security sandbox management program and the authentication server. After identity authentication of the equipment, real-time monitoring of process dynamic behaviors in the running process of the equipment is added, and the safety of the equipment in the data exchange process is further improved.

The invention discloses an unmanned aerial vehicle aerial three-dimensional electronic fence construction method and system, and relates to the technical field of unmanned aerial vehicles, and the method comprises the following steps: dividing the region boundary of an electronic fence in a preset geographic range based on a geographic information system and a three-dimensional modeling technology, and calculating the range of the electronic fence; integrating the configured electronic fence to an unmanned aerial vehicle system, establishing a real-time communication and data exchange channel with the unmanned aerial vehicle, and receiving position information and flight state data fed back in the flight process of the unmanned aerial vehicle in real time; and monitoring the flight state of the unmanned aerial vehicle and the area boundary of the electronic fence in real time, and triggering an early warning mechanism when the unmanned aerial vehicle is found to have a boundary crossing behavior. According to the electronic fence system, the size, shape and position of the fence can be automatically adjusted according to the real-time flight state of the unmanned aerial vehicle and the environment change, the dynamic adjustment capability of the electronic fence is directly improved, and it is ensured that the unmanned aerial vehicle can always fly safely in the complex and changeable airspace environment.

The invention relates to an office process automation data analysis method based on a symmetric encryption algorithm, and the technical scheme comprises the following steps: introducing an encryption strategy generator, and dynamically adjusting the parameters of the symmetric encryption algorithm including the key length and the encryption round number through the real-time analysis of the data communication content including the data sensitivity, the frequency and the data volume; constructing a self-adaptive optimization model, and adjusting an encryption strategy according to external conditions such as a network state, equipment computing power and user behaviors; fragmenting the data packet before transmission, and allocating different transmission paths according to current network conditions and security evaluation; constructing a dynamic data recombination module at a data receiving end, and verifying and recombining data when encrypted data packets of different paths arrive; a lightweight key negotiation protocol based on symmetric encryption is adopted, and a key is generated and negotiated immediately when two communication parties initiate data exchange; a secret key life cycle management mechanism is introduced, and the service life and the number of times of limitation are set for each secret key.

The invention discloses a railway dispatching transportation intelligent system. The system comprises a data acquisition module, a data preprocessing module, an intelligent analysis and prediction module, a dynamic dispatching optimization module, a communication and data exchange module, a user interface and interaction module, a system performance monitoring and adaptive learning module, an emergency response module and an energy management module. The system can acquire multivariate data in a railway network in real time, perform deep mining on the data through the intelligent analysis and prediction module, and accurately predict conditions such as train operation delay and fault risk, so that a dispatcher can take measures in advance to avoid or reduce delay, thereby remarkably improving punctuality and efficiency of railway transportation, and improving the safety of railway transportation. The dynamic scheduling optimization module can dynamically adjust the train operation plan according to the prediction result and the actual operation condition, the flexible scheduling mode can utilize railway resources to the maximum extent, waiting and conflicts between trains are reduced, and the transportation efficiency is further improved.

The invention provides a power distribution automation terminal security debugging method based on Bluetooth communication, and the method comprises the steps: extracting a historical operation record and a current task context from an operator identity identifier, calculating a real-time permission range of resource access, and adjusting an initial access boundary according to the real-time permission range; a security gateway module is embedded in a Bluetooth communication channel, a cross-domain data exchange request is intercepted and analyzed, whether the request exceeds the adjusted access boundary is judged, and if yes, transmission is refused; analyzing the cross-domain data exchange request, extracting a source domain identifier and a target domain identifier of a data packet from the cross-domain data exchange request, and encrypting the data packet to obtain encrypted cross-domain transmission data; and obtaining a decryption key distribution record of the encrypted cross-domain transmission data in the security domain of the receiving end, judging whether the key is matched or not, if so, decrypting the data and transmitting the data to the target domain, and otherwise, discarding the data.

The invention discloses a data exchange method and system for low-frequency-band wireless networking, particularly relates to the technical field of wireless networking communication, and is used for solving the problem that the data exchange efficiency of the low-frequency-band wireless networking is low. Information correction is carried out by selecting the optimal transmission path and combining feedback of the adjacent nodes, the stability and accuracy of data transmission are improved, the nodes evaluate the information state according to the information receiving quality and the environment change and select a proper correction strategy, and in the path transmission process, real-time error evaluation is used for calculating the error metric of each path, so that the accuracy of data transmission is improved. And according to the selected correction strategy, in combination with a forward error correction and automatic retransmission mechanism, error control is performed when the path quality becomes poor, and the path and the correction strategy are dynamically adjusted in low-frequency-band wireless networking, so that the fault-tolerant capability and the robustness of the network are improved, and transmission errors caused by signal attenuation or interference are effectively reduced. The reliability of data transmission is enhanced, the system adapts to a complex wireless environment, and the risk of information loss and misinformation transmission is reduced.

The invention provides a switch, a switch cabinet and a data exchange method. The switch specifically comprises at least two interface modules, an exchange module and an uplink message processing module. Wherein the at least two interface modules comprise a first interface and a second interface, the first interface is configured to send and receive a first message based on a first protocol, and the second interface is configured to send and receive a second message based on a second protocol; the interface module is used for acquiring a to-be-forwarded message, wherein the to-be-forwarded message is one of the first message and the second message; the uplink message processing module is used for receiving a to-be-forwarded message from the interface module and obtaining first indication information corresponding to the to-be-forwarded message, and the first indication information is used for indicating a target interface corresponding to the to-be-forwarded message; and the switching module is used for receiving the to-be-forwarded message and the first indication information from the uplink message processing module, and sending the to-be-forwarded message to a corresponding destination interface according to the first indication information. The switch receives, processes, exchanges and forwards messages of various different protocols, the cost and power consumption of switch equipment are reduced, local resources (a memory, a hard disk, an accelerator and the like) which are originally configured in a server and have overflow conditions can be externally arranged in a cabinet to become pooling resources, the cost and power consumption of a system are further saved, and the service life of the system is prolonged. And the limitation that local resources are only used by the server is overcome, the utilization rate of the resources is improved, flexible configuration of the resources is realized, and various novel services can be realized.

The invention provides an underwater target detection method and system based on a multi-beam foresight sonar image, and belongs to the technical field of underwater image processing. The method comprises the following steps: acquiring a target sonar image by adopting a multi-beam foresight sonar device, extracting a multi-scale feature map by adopting an improved detection model based on a convolutional neural network, predicting and classifying bounding boxes, and outputting position coordinates and category probability result information containing each detection target. According to the invention, a dynamic perception patch attention mechanism is introduced into the improved convolutional neural network, and a multi-branch feature extraction strategy and a special small target detection head are combined, so that the detection capability of the small target is enhanced, and the purpose of improving the detection precision is achieved. In addition, sonar imaging and processing, data communication, display control and the like are integrated in an embedded platform, and portable real-time detection, data exchange and user control are achieved. According to the method, the detection precision of the small target in the underwater forward-looking multi-beam sonar image can be effectively improved.

The invention discloses a trusted data exchange method and device based on trusted space and a storage medium. The method comprises the steps that a data provider uploads data to a trusted data space; the data supply platform generates a contract, wherein the contract comprises a signing timestamp, a data identifier, a data provider identifier, a data user identifier, a use permission, a service life, a data modification limit and a control strategy; performing Hash encryption on the contract information, and storing the contract information in a target block chain; respectively mapping'points', 'horizontal 'and'interval' in the Morse code into a zero-width non-connector, a zero-width connector and a zero-width space symbol, and converting the encrypted contract identifier into a Morse code format; embedding a zero-width non-connector, a zero-width connector and a zero-width space symbol at random positions of the uploaded data information, wherein the encryption key is generated based on a preset encryption algorithm; and encrypting the uploaded data information by using the encryption key.

The invention relates to a communication device compatible with a hybrid network of Ethernet and FC-AE-1553, belongs to the technical field of hybrid network communication of FC-AE-1553 and Ethernet, and solves the problems of complex structure, large size and high cost of the FC-AE-1553 and Ethernet communication network in the prior art. The communication device comprises an Ethernet interface conversion module, an Ethernet data exchange module, a protocol processing module, an FC data exchange module and an FC transceiver module. The Ethernet interface conversion module receives an Ethernet data frame sent by an Ethernet node and forwards the Ethernet data frame to the Ethernet data exchange module or the protocol processing module; the FC transceiver module receives an FC-AE-1553 frame sent by an FC-AE-1553 node, and forwards the FC-AE-1553 frame to the FC data exchange module; the FC data exchange module forwards the FC-AE-1553 frame to the FC transceiver module or the protocol processing module; and the protocol processing module is used for realizing mutual conversion between an Ethernet frame and an FC-AE-1553 frame and sending the Ethernet frame and the FC-AE-1553 frame to an Ethernet node. The communication network of the Ethernet and the FC-AE-1553 is simple in structure, small in occupied volume and low in cost.

The invention relates to the technical field of road traffic safety and intelligent networking, in particular to a networking communication system for road traffic safety facilities. According to the system, a local traffic digital twinborn model is constructed by edge computing nodes and maintained in a federated synchronization mode; traffic data generated by an edge computing node is packaged in a data container with an embedded hash chain and a digital signature encryption traceability log, so that the integrity, primitiveness and traceability of the data are ensured; the vehicle-mounted terminal submits zero-knowledge proof as a service voucher, and the edge computing node verifies and authorizes the service on the premise of not obtaining the original sensitive data. According to the invention, efficient traffic state synchronization is realized by constructing the federated digital twinborn model, the credibility and safety of data exchange are guaranteed by using the data container, the terminal privacy is protected by means of the zero-knowledge proof technology, and the communication efficiency, the data safety and the privacy protection level of the vehicle-road cooperation system are comprehensively improved.

The invention discloses a court cross-network audio and video signaling two-way interaction system and method. The system comprises a multi-protocol access adaptation module, a security isolation module and the like. The multi-protocol access adaptation module is provided with a special access adaptation unit for multiple protocols; the security isolation module realizes physical isolation through a security data exchange platform and a one-way audio and video optical shutter, and a built-in signaling security detection unit detects signaling; the signaling conversion module converts the signaling into an internal uniform format and adapts to the internal uniform format; the signaling processing module processes signaling, extracts information, schedules resources and feeds back a result; the network adaptation module adjusts transmission parameters; the identity authentication and authorization module uses multi-factor authentication and fine-grained authorization. The method comprises the steps of signaling initiating and receiving, identity authentication and authorization, multi-protocol access adaptation, signaling conversion processing and the like. The system solves the problems of cross-network communication protocol compatibility and the like, and improves the convenience and safety of judicial services.

The invention provides a rapid consensus method for large-scale heterogeneous dynamic nodes based on a DAG block chain, and relates to the field of block chains, and the method comprises the steps: constructing a heterogeneous dynamic Internet of Things network based on the block chain; dividing the heterogeneous dynamic Internet of Things network into a plurality of areas; selecting full nodes of each region; determining the node level of each node through a local outlier factor algorithm; the node corresponding to the local area takes the target transaction as a local transaction; carrying out verification by adopting an intra-region weight voting consensus mode, packaging the successfully verified local transaction into a block, and uploading the block to a local DAG region slave chain; the target transactions are constructed into a data transaction set by all nodes; verifying by adopting a multi-region weight voting consensus mode, packaging a successfully verified data transaction set into blocks, and uploading the blocks to a DAG global main chain; through a multi-signature mode, transaction events in a DAG area slave chain and a DAG global main chain are bidirectionally anchored, and a credible data exchange channel is established.

The invention relates to an optimal path selection method for data exchange in a cross-network scene, and belongs to the field of computers. The method comprises the following steps of: initializing a communication relationship among nodes in all network systems exchanged and associated across the network systems into a data exchange routing information table; enumerating a switching path and calculating a path length; obtaining QoS attribute vectors of the enumerated exchangeable path link, including response time, reliability and stability, as link quality parameters, and meanwhile, comprehensively forming an exchange path attribute parameter by taking an exchange path length as a security evaluation factor; weight is distributed to each parameter, and optimal path calculation is carried out, so that the optimal path of data exchange in the cross-network scene is obtained. According to the method and the device, the data exchange can be completed when the direct path is blocked in the cross-network scene without opening the exchange link, so that the economic cost caused by opening the link and the time overhead of offline exchange can be effectively saved.

A real-time traffic signal optimization system that includes: (a) a traffic data acquisition module that collects real-time traffic data from sensors, cameras, GPS and vehicle-to-infrastructure communication; b) a machine learning-based traffic prediction engine that analyses historical and real-time data to predict congestion patterns; c) an adaptive signal control unit that dynamically adjusts traffic light switching times based on real-time traffic flow and predictive insights; (d) an emergency and priority vehicle management system that overrides normal signal operation to give priority to emergency vehicles and public transport vehicles; (e) a central traffic monitoring and control dashboard for real-time monitoring, manual interventions and system configuration; and (f) a vehicle-to-infrastructure communication interface enabling data exchange between traffic signals and connected vehicles to improve driver awareness and traffic coordination.

A system (1) has a vehicle (2) and a mobile device (3) to unlock the vehicle (2) and / or enable a function of the vehicle (2). The vehicle (2) has at least one first transceiver (A) that is designed to transmit and receive data wirelessly. The mobile device (3) has at least one second transceiver (B) that is designed to transmit and receive data wirelessly. The first transceiver (A) and the second transceiver (B) are designed to establish a wireless connection with one another as connection partners that enables data exchange. The first transceiver (A) is designed to check an environment of the vehicle (2) for available connection partners. The second transceiver (B) is designed to signal its availability as a connection partner.

The embodiment of the invention provides a cross-network data exchange method, electronic equipment, a storage medium and a program product, and the method comprises the steps: receiving transmission data, determining the identification information of the transmission data according to the service identification, timestamp and segment sequence number of the transmission data, and determining the verification value according to the performance requirement, the security requirement and the data integrity; the hash algorithm is obtained by performing hash operation on the segmented data; according to the identification information, judging whether the transmission data is duplicated data or not; judging whether the transmission data is complete data or not according to the verification value; whether the transmission data is lost data or not is judged according to the segment serial number, if yes, a retransmission instruction is sent to the sending end equipment, the data segments which are repeatedly transmitted can be accurately recognized through the unique identification information, redundant storage and processing are avoided, the data repetition problem is solved from the source, then the integrity of the data is verified according to the verification value, and the data transmission efficiency is improved. And the lost data end is judged according to the segment sequence number, so that the problem of data loss is solved.

The invention discloses a cross-network data security exchange method and device based on multi-layer protection. The method comprises the steps that multiple layers comprise a physical layer, a transmission layer, an application layer and a strategy layer; the physical layer adopts a one-way transmission optical shutter as a physical isolation means, the transmission layer adopts a hybrid encryption strategy combining asymmetric encryption and symmetric encryption, and the application layer is used for processing authority control, flow control, interface control, type control and sensitive data desensitization. The strategy layer guarantees the security of data exchange based on a bastion host, a black list, a white list and a log auditing mechanism; and the cross-network data security exchange method with multi-layer protection comprises a process of exchanging data from a non-security side to a security side and a process of requesting data from the non-security side to the security side. According to the scheme, comprehensive protection is provided for communication between networks with different security levels, and a feasible technical path is provided for constructing an open and highly controlled data exchange platform.

The invention discloses an authentication method for the Internet of Vehicles, and the method comprises the steps: completing the authentication and key negotiation process of a vehicle and a road side unit through a trusted authority center TA under the condition that the vehicle and the road side unit are detected to be authenticated for the first time; under the condition that authentication is not carried out for the first time, the authentication of the vehicle is rapidly completed through the current road side unit, and a session key between the vehicle and the road side unit is updated; when it is detected that the authenticated vehicle moves and is switched to an unauthenticated area, data exchange and inspection between the road side unit of the current area and the road side unit authenticated last time are utilized; reliable central server auxiliary authentication is still needed when the vehicle accesses the Internet of Vehicles for the first time, then the authenticated vehicle accesses the Internet of Vehicles again, rapid re-authentication and switching authentication based on mobile edge computing are adopted, verification of the central server is not needed, the pressure of central authentication is relieved, and meanwhile the authentication efficiency is improved. The calculation and communication overhead of vehicle authentication is reduced, and the authentication efficiency is effectively improved.

The invention relates to the technical field of mine underground positioning, and discloses a UWB-based coal mine underground accurate positioning system, which comprises a UWB base station, a UWB label, a central processing unit and a data transmission network, and is characterized in that the UWB base station is installed on a monorail hoist and is used as a signal receiver, the UWB label is fixed on a wall or a ceiling of a roadway and is used as a signal transmitter, and the central processing unit is used as a signal receiver. The central processing unit is responsible for receiving data from the UWB tag, executing a PDOA algorithm and calculating the position of the monorail hoist, and the data transmission network is used for data exchange between the base station and the tag and between the tag and the central processing unit. The monorail hoist can be quickly positioned, and rescue action is facilitated.

The invention discloses a mobile AI energy storage charging robot. The mobile AI energy storage charging robot comprises an AI robot main body and a charging module, the AI robot main body comprises a mobile platform, an energy storage module, a communication module, a navigation and sensor module and an AI control module; the moving platform is used for assisting the robot to move in different terrains; the energy storage module is used for storing energy and supporting bidirectional charging and discharging; the AI control module is used for realizing the functions of task scheduling, energy distribution and path planning; the navigation and sensor module is used for environment perception and obstacle detection; the communication module is used for data exchange and cooperation; the charging module is used for charging target equipment; the charging module supports quick charging and can dynamically adjust charging current and voltage based on the battery state of the target equipment or the vehicle; the AI control module optimizes a charging task and a path through a deep learning model, and efficient task scheduling and energy utilization optimization are realized.

The invention relates to the technical field of flight control, in particular to a low-altitude traffic control method and system for an aircraft. The control method comprises the steps that a wireless communication network is built, data exchange between the aircrafts is ensured through a multi-layer topological structure and a dynamic spectrum management technology, and the wireless communication network adopts a channel evaluation mechanism to adapt to a changeable airspace environment and ensure stable high-bandwidth connection. According to the invention, a wireless communication network is established and a multi-level topological structure and a dynamic spectrum management technology are adopted, so that the problem of communication delay caused by dependence on ground infrastructure in a traditional system is solved. Through a channel evaluation mechanism, the network can adapt to a changeable airspace environment, stable and reliable data transmission between aircrafts is ensured, and the realization of high-bandwidth connection provides a solid guarantee for real-time monitoring and dynamic decision making.

The invention discloses a tourist attraction information service system based on big data, and relates to the technical field of tourist information, the tourist attraction information service system is composed of a main system and a plurality of subsystems serving a single tourist attraction, and the main system provides regional tourist information service. The system comprises a cloud platform (comprising a physical layer, a platform layer and an application layer), an intelligent data acquisition module (utilizing the Internet of Things, a sensor and a data exchange and integration technology), a data processing module (data cleaning, fusion and intelligent analysis), a decision support module (monitoring tourist flow, predicting trend and evaluating scenic spot conditions) and an intelligent recommendation module (recommending tourist sites according to tourist preferences, and recommending the tourist sites according to tourist preferences. And people flow is adjusted in the peak period. The system aims at optimizing tourist experience and providing decision support for scenic spot management.

The invention provides a satellite constellation network topology state rapid sensing method. A multi-dimensional physical layer monitoring module, a dynamic adaptive BFD detection mechanism, an OSPF routing protocol and a shared data exchange area of a BFD driver and an OSPF process are deployed on each satellite node. According to the method, the connectivity of inter-satellite links is monitored in real time by using a physical layer signal state monitoring technology and the rapid link state detection capability of a BFD protocol, and related nodes are immediately notified through a control message when a fault is detected; meanwhile, the detection result of the BFD is linked with an OSPF routing protocol, and instant routing recalculation is triggered, so that the routing convergence time is shortened. A cross-layer closed-loop linkage system is constructed, a physical layer senses data to dynamically regulate and control protocol layer detection parameters, and hardware acceleration is combined to realize fault detection full-process optimization, so that the fault detection and recovery speed is accelerated, the resource utilization efficiency and the overall transmission efficiency of an inter-satellite network are improved, and the fault detection and recovery efficiency is improved. And high reliability and stability of the network are ensured.

The invention relates to a zero-trust forest and grass Internet of Things identity authentication method and system based on a block chain. The method comprises the following steps: S1, initializing the block chain and formulating an intelligent contract; s2, registering the forest and grass Internet of Things equipment; s3, the forest and grass Internet of Things gateway accesses the forest and grass cloud platform and initializes the forest and grass cloud platform, the step S4 is executed after identity authentication, and otherwise, the step S5 is executed; s4, the forest and grass Internet of Things terminal accesses the forest and grass Internet of Things gateway and performs identity authentication, the step S6 is executed if yes, and the step S7 is executed if not; s5, forest and grass cloud platform security situation awareness and emergency disposal; s6, the forest and grass Internet of Things gateway transmits data to the forest and grass cloud platform; and S7, ending. The system is used for executing the authentication method. According to the method, a continuous dynamic identity authentication mechanism is constructed among the forest and grass Internet of Things terminal, the forest and grass Internet of Things gateway and the forest and grass cloud platform, and the intelligent contract technology of the block chain is utilized to record the access session into the block chain network, so that the access session and data exchange information are transparent, non-tampering and traceable.