203 results about "Backup path" patented technology

An intention-driven low-orbit satellite network SRv6 routing management and control method comprises the following steps: step 1, receiving and analyzing a user service demand from an application layer, and generating a corresponding intention label according to a service type; step 2, collecting state information of a satellite network in real time, tracking and recording satellite node position change and link state conversion, and establishing a complete network state database; 3, calculating a routing path meeting the service quality requirement by adopting an improved breadth-first search algorithm; 4, monitoring the state change of the inter-satellite link in real time; step 5, continuously monitoring fault events in the network, immediately starting a pre-calculated standby path when a fault is detected, updating a corresponding SRv6SID list, and performing rapid path switching; and step 6, dynamically adjusting the network flow. The method not only can adapt to the dynamic characteristics of the low earth orbit satellite network, but also can effectively meet the differentiated service requirements, and has the rapid fault recovery and load balancing capability.

The invention discloses a data disaster recovery method supporting multi-backup path switching, which comprises the following steps: generating a dynamic granularity data fragment based on the sensitivity of input data and the characteristics of a storage medium, and generating a metadata label containing a data fragment identifier, storage preference and recovery priority; constructing a heterogeneous transmission path performance model through metadata labels, generating a path quality map, distributing an optimal transmission path for each data fragment, and monitoring path performance; detecting anomalies through the standardized deviation of accumulated transmission delay and migrating fragments; carrying out parallel verification by adopting incremental integrity verification and Merkle proof stored in the block chain, and preferentially retransmitting fragments which fail in verification; according to the invention, through the cooperation of dynamic data fragmentation, backup path optimization and recovery verification, the reliability and stability of data disaster recovery are ensured so as to meet the actual business requirements.

The invention discloses an automatic goods warehousing method and system for intelligent warehousing, and belongs to the technical field of intelligent warehousing. According to the method, dynamic event information such as cargo elevator fault signals and robot position conflict detection data is obtained through a real-time data interface, a dynamic path self-adaptive scheduling mechanism is constructed based on a path planning algorithm, and a standby path set is preset; when a dynamic event is detected, the edge calculation unit is triggered to complete a standby path calculation strategy within a system preset time threshold value, and finally the storage robot is controlled to execute storage work according to a planned path. The system comprises a data sensing module, a path planning module, an edge calculation unit and an execution control module, and the modules cooperate to realize real-time path optimization under a dynamic event. According to the method, the problems of insufficient dynamic scene adaptability and low equipment cooperation efficiency in traditional storage are effectively solved, the storage efficiency is improved, and the energy consumption is reduced.

The invention relates to the technical field of adaptive routing optimization, and particularly discloses a topology self-recognition and routing optimization method and system for a concentrator and a collector, and the method comprises the steps: carrying out the topology modeling of a multi-layer heterogeneous network; executing high-speed link state monitoring based on the initial topological graph; global loop detection and link optimization are completed based on the link state matrix; a weighted robust multi-dimensional path selection method is adopted to configure a main path and a standby path for each node; and monitoring the path state in real time and dynamically switching. In the prior art, a static route, a single protocol path or a fixed main and standby path is mainly adopted, and especially in a cross-protocol, cross-level and dynamic multi-node environment in a smart city, rapid path switching and high-reliability route redundancy guarantee cannot be realized. Due to the fact that the multi-dimensional path selection method and the cross-level and cross-protocol self-adaptive switching strategy are adopted, the problems of routing interruption and performance reduction are avoided, and the reliability of the whole network is improved.

The invention discloses an L-shaped conveyor belt path dynamic planning and congestion prediction system, which relates to the technical field of automatic control, and constructs a conveying path node diagram by collecting material weight, speed and spacing information of each node on a conveying path, and calculates a congestion index of each path section; the method comprises the following steps: combining a light-mass material jumping sensitivity model, identifying a high-risk node and marking the high-risk node as a congestion prediction area, constructing a dynamic optimization model based on path risk distribution and a material flow direction, generating and evaluating a plurality of path adjustment strategies, executing an optimal strategy according to priority, and realizing path speed adjustment, standby path switching and feeding rhythm control; through a feedback mechanism, a strategy effect is evaluated in real time, a path state is updated, operation data is synchronized to a historical database, a learnable conveying operation file is formed, the stability and the intelligent response capability of a conveying system can be effectively improved, and the method is suitable for high-speed sorting and automatic packaging scenes.

The invention discloses an industrial Internet of Things control method for multi-type working parameter deployment, which relates to the technical field of industrial automation control, and comprises the following steps: S001, establishing a time sequence observation baseline of a multi-stage redundant path, injecting micro-amplitude identification pulses into all control nodes, generating an instruction time delay distribution curve and a resource occupation track, and establishing a time sequence observation baseline of a multi-stage redundant path; the method is used for revealing potential conflict sources and providing initial conditions. According to the method, a conflict source is revealed by establishing a time sequence observation baseline, competition nodes are identified by using a loop retrieval graph, a conflict list is formed, a single-source control right token is issued to realize link convergence, token stagnation is monitored, snapshot rollback and standby path takeover are combined to avoid interruption, and after takeover, time delay shaping is implemented to ensure stable landing of an instruction. Finally, the topological weight, the token priority and the fusing threshold value are dynamically updated, a self-evolution closed loop is constructed, and high reliability and high safety of industrial Internet of Things control are achieved.

The invention discloses a data communication method, system and device under a disaster condition, and belongs to the field of power systems, and the method comprises the steps: determining a graph structure model based on a current network topology structure and network topology change information under the disaster condition, carrying out the calculation through a graph theory algorithm, and determining a transmission node and a standby path; if the node connection is abnormal, performing multi-path planning calculation on the standby path to obtain a planning result; splitting the power grid information packet into a plurality of data packets, performing data transmission through a multi-path planning result, and monitoring a transmission progress and arrival confirmation information in real time; and if it is monitored that the transmission is overtime or lost, updating the planning result based on a preset path switching rule to obtain a target planning result, and performing rerouting processing on the remaining data packets according to the target planning result to realize data communication under the disaster condition. And efficient, reliable and stable operation of data communication of the power grid under disaster conditions can be realized.

The invention relates to an industrial Internet of Things secure communication method and system based on OpenHarmony, and the method comprises the following steps: collecting node features of to-be-communicated equipment, carrying out the routing selection through combining network performance parameters, and generating a main and standby transmission path combination. And performing fragmentation encryption on the industrial production data sent by the source equipment to form encrypted fragmentation data. And sending the encrypted fragmented data through the main transmission path, and synchronously executing integrity verification to obtain a verification result. Whether transmission abnormity occurs in the main path or not is judged according to the integrity verification result, if yes, switching to the standby transmission path is triggered, encrypted fragmented data corresponding to the abnormity is retransmitted, it is ensured that the data are complete and reliable, and finally the data are recombined into complete industrial production data at a receiving end. The technical problems that a rapid detection and response mechanism for abnormal behaviors is lacked in the data transmission stage, and it is difficult to switch a standby path in time and complete data retransmission when transmission abnormity occurs are solved.

The invention relates to the technical field of electrical wiring. The invention discloses a method for generating a cable wiring path of a power distribution cabinet, and the method comprises the steps: firstly obtaining the multi-dimensional environment parameters of a to-be-wired power distribution cabinet, wherein the structural parameters comprise the three-dimensional layout in the cabinet, the positions of components and wire duct guide rails, the electrical parameters comprise the connection relation of the components, the cable specification and the like, and the physical constraint parameters are the allowable bending radius and the minimum electrical gap; constructing a digital twinborn model according to the parameters, and performing risk analysis on the model to obtain a safety risk level; and finally, a double-path scheme is generated and output in combination with the model and the grade, the first path is the optimal path of the prediction model, the second path is the standby path of the historical case, and the priority of the first scheme is higher. According to the method, the security risk is quantified in advance through multi-dimensional parameter acquisition, digital twin modeling and risk assessment. The current situation that traditional manual wiring depends on experience is changed through intelligent generation of an optimal path, reuse of a standard scheme of a standby path and real-time monitoring and early warning.

The invention relates to a key flow-based SRv6 explicit path intelligent scheduling method and system, and belongs to the technical field of communication information. The method comprises the following steps: carrying out criticality scoring through a semi-supervised-migration mixed learning model, and outputting a key stream; constructing a full-dimensional network twinborn model, pre-judging a congestion risk trend, and verifying a link path survival rate; generating a low-delay source node list through a key flow path enhancement algorithm based on the key flow and link path survival rate; analyzing the low-delay source node list to create a micro-isolation queue; when the digital twin detects that the actual state deviates from the predicted value, calling a pre-verified backup path identification chain to complete path switching in real time; and performing closed-loop optimization based on the key operation state data by using a double-channel learning model. The technical problems that in the prior art, key flow recognition precision is low, SRv6 path scheduling and network state adaptability is poor, fault switching lags behind, and core model optimization is insufficient are solved.

The invention relates to the technical field of logistics management and control, and provides a community shared logistics management and control method and system, and the method achieves the precise matching of resources and the intelligent planning of a distribution path through integrating mobile resource data, fixed resource data and environment data, constructing a logistics resource map and a logistics passing network, dynamically monitoring the distribution process, and carrying out the timely adjustment. The operation efficiency and the service quality of community logistics are obviously improved on the whole; specifically, the logistics management and control system can optimize resource configuration, reduce idle and waste of resources, reduce logistics operation cost, effectively deal with the problems of traffic congestion, abnormal traffic events and the like by planning a main path and a standby path in advance and combining real-time environment change to perform path adjustment, shorten logistics distribution time, improve distribution timeliness and improve logistics distribution efficiency. The logistics task distribution process is comprehensively monitored and dynamically adjusted, the stability and reliability of the logistics service are guaranteed, the user satisfaction is enhanced, and the sustainable development of community shared logistics is promoted.

The invention relates to the technical field of intelligent optimization, in particular to a network anti-fiber-breakage protection planning method based on offline learning and improved MCTS, and the method comprises the steps: solving a preset multi-target optimization model of network anti-fiber-breakage protection planning through employing a preset multi-mode multi-target optimization algorithm, obtaining at least one optimal standby path corresponding to each service; learning a topological structure and link weight information of each optimal standby path; and when a link fault exists, dynamically searching a target recovery path of the current damaged service according to the topological structure and link weight information of at least one optimal standby path corresponding to the current damaged service in all services based on a preset improved Monte Carlo tree search algorithm, and outputting the target recovery path. Therefore, the problems of poor timeliness and low service recovery rate in the existing optical network recovery technology are solved, and the performance and efficiency of network fiber breakage resistance protection planning are effectively improved by comprehensively optimizing the shortest recovery time and the maximum service recovery rate.

The invention relates to the technical field of data transmission, in particular to a CAN communication network multi-rate adaptive transmission control system, a control method and a vehicle electronic control system. According to the CAN communication network multi-rate adaptive transmission control system, dynamic rate adjustment and intelligent load balancing are realized through four core modules: a data classification module divides data into a security class, a power class, a comfort class and an entertainment class, and calculates a dynamic weight; the network state monitoring module adopts a sliding window algorithm to calculate a network load rate in real time; the rate decision module dynamically selects the transmission rate according to the priority and the load rate; and the multi-path control module selects an optimal standby path based on the comprehensive score of the path load rate, the hop count and the link quality, and distributes traffic through a weighted polling algorithm. The system breaks through the limitation of a traditional CAN fixed rate, realizes low-delay transmission of high-priority data and efficient utilization of network resources, and is particularly suitable for a high-load communication scene of an intelligent automobile.

The invention relates to the technical field of intelligent sound boxes, in particular to a Bluetooth sound box networking system and networking method based on the Internet of Things. The method comprises the following steps: acquiring spatial position distribution data of sound box equipment; according to the sound box equipment space position distribution data, each equipment is controlled to successively emit acoustic detection signals with a preset frequency, and room acoustic propagation characteristics are evaluated based on signal response intensity; comparing and analyzing the signal response intensities of different frequencies by using room acoustic propagation characteristics, and identifying room characteristic frequency distribution data; according to the room characteristic frequency distribution data, acoustic response amplitude differences of the loudspeaker box devices under different characteristic frequencies are detected. According to the method, a main path and standby path configuration strategy is introduced in the networking process, screening is carried out according to the equipment weight stability and hierarchical compliance, and the influence caused by faults such as link breakage and channel interference can be effectively reduced.

The invention discloses a real-time voice communication system and method based on a movement prediction and standby path mechanism, and aims to solve the problems of voice packet loss, delay and call interruption caused by frequent link interruption, large route reconstruction delay and high control overhead when an existing outdoor dynamic small-scale team performs real-time voice communication in a high-speed movement scene. The system comprises a voice sending end, a voice receiving end, a path management module and a mobile prediction module. The path management module constructs and maintains a main path tree for data transmission and a pre-generated standby path tree; the movement prediction module indirectly predicts the movement trend of the node through the change trend of the link quality, and constructs a movement prediction quality parameter through the change of the link packet loss rate, the delay and the jitter so as to dynamically optimize the structure of the path tree; when the main path is subjected to link breakage or the communication quality, such as packet loss rate, delay and jitter deterioration, is below threshold values, the system can be seamlessly switched to the standby path tree, so that the continuity and real-time performance of voice communication are guaranteed; according to the invention, the lightweight design is adopted, the control packet overhead is reduced, the method is suitable for an outdoor real-time voice communication scene with a small number of nodes, high moving speed and limited bandwidth and power consumption, and the communication robustness and the user experience are remarkably improved.

The invention discloses a resource scheduling method, an electronic device, a medium and a product, and relates to the technical field of AI intelligent computing, and the method comprises the steps: obtaining the bandwidth utilization rate of a main switching device in a plurality of switching devices through a host, and if the bandwidth utilization rate of the main switching device is greater than a first preset utilization rate, executing the first preset utilization rate; if yes, whether standby switching equipment meeting a preset standby condition exists in the remaining switching equipment except the main switching equipment in the multiple pieces of switching equipment or not is queried based on a first circular query strategy, and if not, a target switching equipment meeting a preset transmission condition is determined from the multiple first switching equipment, the to-be-calculated data is stored in the shared memory pool through the target switch, and low congestion, high throughput and high resource utilization rate under large-scale AI training and reasoning tasks are realized by introducing multi-level popularity perception, dynamic threshold adjustment, standby path switching and cross-network data unloading mechanisms into a hybrid interconnection architecture of the shared memory pool.

The invention relates to a scale out network backup path fast switching notification system and method, and aims to solve the problem that the existing VRRP / BFD protocol switching time cannot meet the high real-time requirement of an AI server scale out network. The scheme is realized through a collaborative architecture of a CPU (Central Processing Unit), an inspection FPGA (Field Programmable Gate Array) and power supply monitoring: the CPU runs a VRRP / BFD (Bidirectional Forwarding Detection) protocol stack and maintains a state table, and the FPGA is responsible for detecting a power supply fault, a port fault and GPU alarm in real time, and generating and sending a pre-installed message in one main frequency period; and the power supply monitoring module ensures that power supply is maintained for more than or equal to 5ms after sudden power failure through the energy storage capacitor, so that complete transmission of fault messages is ensured. The system has the advantages that the system supports multi-scale out interface redundancy, the end-to-end delay of fault detection and backup path switching is smaller than or equal to 1ms by adopting a low-power-consumption switching chip and independent minimum power domain design, the fault response speed and reliability of an AI server scale out network are remarkably improved, and the system is suitable for guaranteeing the network continuity of a high-density AI training cluster.

The invention discloses a message transmission method and device, which are used for switching a message transmission path in time when a fault occurs in a multi-network plane scene, reducing message transmission interruption time and improving the problem of packet loss in a route reconvergence process caused by the fault. The method is applied to a leaf switch contained in a first network plane of a data center, and comprises the following steps: receiving a message sent by an access switch in the data center; querying a plurality of transmission paths of the message according to the destination address of the message, and determining a main path and a backup path included in the plurality of transmission paths; wherein the switches included in the main path all belong to a first network plane, and the backup path comprises switches belonging to a second network plane; the first network plane and the second network plane are two different network planes in the data center; and when the main path contains the access switch or an interface between the main path and the next-hop switch in the main path fails, transmitting the message by adopting the backup path.

The invention provides a cluster wireless ad hoc network method for port intelligent operation equipment, and belongs to the technical field of wireless communication. The method comprises the steps that firstly, port communication system layered architecture initialization is carried out, port intelligent operation equipment neighbor discovery is achieved, and meanwhile neighbor equipment access information packets and channel quality index information are recorded; secondly, performing cluster head node election through a maximum score priority rule to form a local cluster structure consisting of cluster head nodes and terminal equipment, and introducing a cluster wireless ad hoc network to complete a judgment mechanism after the cluster head node election of the intelligent operation equipment is completed; and finally, performing multi-path construction, standby path caching and a main and standby path seamless switching mechanism. The method supports dynamic election of cluster head nodes, supports multi-path cache, can realize seamless communication switching, and solves the problems of slow remote control response speed and high failure rate of port intelligent operation equipment.

The invention discloses a cross-domain information distribution method and system for multi-link cooperative networking, and relates to the technical field of network communication, and the method applied to an information sending end comprises the following steps: obtaining a link quality prediction result of each data transmission link based on the computing power level of an information receiving end and the link quality prediction result of each data transmission link; and dynamically selecting a main transmission path and at least one backup path of cross-domain information from all data transmission links. And based on the link quality of the main transmission path, performing fragmentation processing and coding processing on the to-be-distributed data to obtain a plurality of to-be-distributed data packets. And transmitting the to-be-distributed data packet to an information receiving end through the main transmission path and the backup path, so that the information receiving end decodes and recombines the to-be-distributed data packet. According to the method, the stability, the real-time performance and the resource utilization efficiency of cross-domain information distribution for multi-link cooperative networking are effectively improved, and the transmission performance of cross-domain data transmission is remarkably improved.

The invention discloses a heterogeneous networking architecture and method based on an electric red-hong system distributed soft bus, the heterogeneous networking architecture comprises an equipment grading module, a hybrid topology networking module, a main / standby path configuration module and a communication protocol adaptation module, the equipment grading module divides equipment into a rich type and a thin type according to capability, the rich equipment takes the core role of relay and calculation, and the thin equipment takes the core role of relay and calculation; the thin device focuses on the basic function, accurate resource allocation is achieved, and computing power waste is avoided; the hybrid topology networking module enables rich equipment to construct a mesh topology through a high-speed link, and multi-path transmission of key data is guaranteed; the thin device is connected with the rich device in a single-hop mode to form a star topology, connection is simplified, the communication range is expanded by means of the rich device, and efficiency and coverage are both considered; the main and standby path configuration module is used for configuring double paths for equipment, and automatic switching is realized when a main path fails, so that the anti-fault capability is greatly improved, and equipment disconnection caused by a single link fault is completely eradicated; the communication protocol adaptation module dynamically selects a protocol according to needs, breaks the protocol barrier, reduces the conversion delay, and improves the overall communication efficiency and compatibility.

The invention relates to the technical field of vehicle control, in particular to a self-adaptive response control method and system for an automatic driving longitudinal control redundant system of a heavy-duty car, and the method comprises the steps: continuously monitoring main and standby control paths of the system and states of all parts, and judging fault levels in real time, including normal, slight, moderate and serious faults. Executing a grading response strategy according to the grades: performing master control and standby hot standby verification in a normal state; when a slight fault occurs, the master control starts standby resource verification compensation; when a moderate fault occurs, a standby path is quickly switched, and the braking force is kept; when a serious fault occurs, an emergency path is activated immediately, deceleration is limited, an alarm is given, and safe deceleration of the vehicle is ensured. And recording and reporting the total event. The crossing from rigid switching to intelligent grading self-adaption is realized, and the continuity and efficiency of the system are improved while the safety is guaranteed.

The invention discloses a load dynamic transfer method and system for switching power supply through cooperation of a 10kV mobile bus and an automatic switch, a medium and a processor. According to the method, a power grid dynamic network model is established through sensor data, a pre-distribution scheme is calculated in combination with load types and priorities, faults are detected in real time through an automatic switch, type signals are generated, and a standby path is called based on a reliability algorithm to generate a switching strategy. And calculating a compensation capacitance value according to the load transfer amount and the voltage deviation to stabilize the voltage. The system comprises a topology module, a distribution module, a detection module, a transfer module and a voltage stabilization module. According to the invention, the dynamic transfer of the load and the rapid processing of the fault are realized, the voltage stability is ensured, the reliability and flexibility of power supply are improved, and the method is suitable for the load transfer scene of the 10kV power distribution network.

The invention provides a multi-source heterogeneous data unified processing method and system based on a dynamic script engine, and relates to the technical field of game engines and software development.The multi-source heterogeneous data unified processing method comprises the steps that multiple game engine protocol signals are converted into a unified intermediate representation format, and meanwhile asset specification parameters and engine compatibility identifiers are extracted and injected into the unified intermediate representation format; forming enhanced asset data; analyzing and verifying the dynamic script codes, converting byte codes to load a memory, and establishing a dynamic script hot update mechanism; concurrently loading enhanced asset data according to a mechanism state, recording an error when the enhanced asset data fails, triggering an exception, and switching a standby path for reloading; finally, the asset format is converted into a target engine native format, algorithm parameters are updated by means of a hot updating mechanism to optimize quality, it is ensured that the target engine requirements are met, asset data enhancement, dynamic script hot updating, concurrent loading fault tolerance and asset format conversion and quality optimization can be achieved, and it is ensured that assets meet the target game engine requirements.

The invention relates to the technical field of servo control, in particular to a multi-sensor-based servo control method and system, and the method comprises the following steps: obtaining sensor data to execute consistency verification, recognizing and marking a trend abnormal channel, calculating a difference value to determine a main / standby path, judging a switching condition to complete path replacement, and collecting an increment sequence to output a control path. According to the invention, by dynamically identifying the sensors which do not accord with the direction trend and marking the sensors as the safe stop state, control deviation caused by abnormal signal interference is avoided, channel optimization is realized by calculating the amplitude change difference value of each effective channel, so that the control path better accords with the change trend of the target instruction; a main and standby path automatic switching mechanism is used for ensuring the continuity and consistency of an output path, path reference judgment is performed by collecting a continuous period increment sequence, a complementary path is reserved to form a bidirectional constraint mechanism for a control signal, and reliable output of a control system is still ensured under the condition that multi-sensor input is unstable.

The application discloses a mobile cart for use in a hospital environment, and more particularly discloses a technique for equipping a mobile device with two different types of wireless communication devices, one of which is part of a mesh network, the mesh network may serve as a backup path to route data to the Internet. When the Wi-Fi connection fails or is weak, a mobile device, such as a mobile cart, may dynamically switch to a mesh network. This dual network approach enhances the reliability of data transmission, reduces the dependency on a single type of network, and ensures continuous operation, which may be important in certain environments, such as in a health care environment.

The invention relates to the technical field of wireless communication networks, and particularly discloses a high-robustness PTP time synchronization method and system for a wireless Mesh network. According to the method, global topology information and real-time link quality information of a wireless Mesh network are obtained through a centralized network controller, an optimal end-to-end synchronization path is dynamically calculated for a slave clock node, an intermediate node on the path performs residence time accumulation correction in a transparent clock mode, high-precision end-to-end synchronization of a slave clock and a master clock is realized, and the synchronization precision of the slave clock and the master clock is improved. And the synchronization stability is ensured through continuous monitoring and seamless switching of a backup path. The system comprises a centralized network controller, a PTP master clock and a plurality of enhanced Mesh nodes. According to the method, the problems of poor dynamic topology adaptation, large transmission delay jitter, multi-hop error accumulation and the like of a standard PTP protocol in a wireless Mesh network are solved, the synchronization precision and robustness are remarkably improved, and a core support is provided for deterministic scheduling of a wireless TSN network.

The application discloses a quick-release type server liquid cooling circulation module and a locking structure thereof, relates to the technical field of servers, and comprises a server body, a liquid cooling circulation module and a mainboard. The liquid cooling circulation module is fixedly connected to the top of the server body. The liquid cooling circulation module is arranged. The thermal stress in the liquid cooling circulation module is subjected to layered elastic compensation. The dynamic adhesion stability and the heat conduction uniformity between the cold plate in the floating module and the CPU / GPU are improved. Meanwhile, the risk of interface loosening or leakage caused by temperature fluctuation and mechanical vibration is effectively inhibited. The long-term reliability and the thermal management efficiency of the system are enhanced while the quick-release convenience is ensured. The side branch mechanism is arranged. The circulation of liquid is realized through a multi-way valve and a side branch pipe. Even if the delivery channel of the liquid outlet pipe is cut off, there is still a minimum amount of coolant flowing through the cold plate in the floating module. The CPU / GPU is given valuable time for safe shutdown or switching to a backup path, and thermal runaway is fundamentally avoided.

Techniques for equipping mobile devices with two different types of wireless communication devices, one of which is part of a mesh network that can serve as a backup path for transmitting data to the internet. The mobile devices, such as mobile carts, can dynamically switch to the mesh network if Wi-Fi connectivity fails or becomes weak. This dual-network approach improves data transmission reliability, reduces dependence on a single network type, and ensures continuous operation, which can be important in certain environments, such as healthcare settings.

The application discloses a kind of three-dimensional visual comprehensive escape path planning method and system based on Dijkstra algorithm, comprising: abstracting building three-dimensional model as the three-dimensional space topology graph containing node and edge;For each edge in topological graph, the dynamic comprehensive path weight model is constructed by combining channel geometric length, estimated travel time, environment risk level and channel passable state;When receiving environmental state change information, the path weight of the affected edge is dynamically updated;Using Dijkstra algorithm, the optimal escape path from at least one evacuation starting point to at least one exit node is calculated on the updated topological graph, and a backup path is generated;Finally, the path result is mapped to the three-dimensional model for visual display and output to the entity path indicating device.The application solves the problem of single path planning model in the prior art, lag response to environmental changes and insufficient use of three-dimensional information, and realizes dynamic, safe and intuitive intelligent evacuation guidance.