359 results about "Communication status" patented technology

The invention discloses an industrial scene-oriented data acquisition system and an industrial scene-oriented data acquisition method. According to the invention, through the multi-level dynamic optimization design, the data acquisition efficiency and the system reliability in a complex environment are significantly improved. The system dynamically allocates thread resources based on the real-time communication state of the equipment, realizes stable throughput under a high-concurrency scene in combination with core binding and polling scheduling strategies, and ensures that millisecond-level response is still maintained when 10000-level equipment is accessed. The memory preloading and protocol template technology eliminates jitter during operation, the hierarchical resource isolation mechanism provides deterministic guarantee for key control instructions, and interruption of the production process due to data delay or resource competition is avoided. The data flow delay is further reduced through multi-protocol efficient analysis and intelligent cache management, seamless compatibility of heterogeneous equipment in a hybrid networking scene is supported, and the strict requirements of continuous production industries such as steel and chemical engineering for real-time performance and stability are met.

The invention discloses an intelligent definition method and system for industrial edge data acquisition, a medium and equipment. The method comprises the following steps: acquiring operation data of field equipment in real time; performing protocol analysis and cleaning on the data to generate standardized data points, dynamically detecting the communication state and adaptively adjusting the acquisition frequency; classifying and aggregating the standardized data points into a running state feature set and calculating feature indexes; edge side anomaly detection is carried out based on the feature set, and a protocol container library is synchronously called to match a device communication protocol to generate matching information; an acquisition strategy optimization instruction is generated in combination with the abnormal result and the matching information, and transmission characteristic indexes and instructions are packaged; and structuring storage feature indexes according to equipment types and time dimensions to form a historical operation database, and managing a storage period by adopting a sliding window mechanism. According to the invention, protocol adaptive analysis, dynamic acquisition adjustment and edge intelligent analysis are realized through software definition, the hardware dependence and field debugging risk are reduced, and the data acquisition efficiency and the intelligent level are improved.

The invention relates to the technical field of Internet of Things equipment, in particular to an Internet of Things equipment management method, computing platform and system, and the method comprises the steps: obtaining the state data of the Internet of Things equipment, carrying out the health scoring of the equipment periodically through a neural network model, and detecting the potential fault risk; constructing a task allocation strategy based on the equipment health score, and dynamically transferring a task to health equipment when the equipment has a potential fault risk; detecting the communication state of the potential fault risk equipment; potential fault risk equipment in a normal communication state is degraded into temporary communication equipment, and the health equipment is assisted to complete communication; and optimizing network topology and communication load by using temporary communication equipment based on a dynamic topology optimization algorithm driven by a graph model. According to the method, the reliability, the task completion rate and the network communication performance of the Internet of Things equipment can be effectively improved.

The invention relates to the technical field of computers and the technical field of intelligent monitoring of forest resources, and particularly discloses a multi-level forest resource monitoring method and system. The method comprises the following steps: collecting computing power of edge nodes, storing and communicating state information, performing normalization processing, and constructing task resource mapping in combination with a forest resource monitoring task set; constructing a scheduling optimization model based on the mapping, executing multi-constraint scoring and iterative optimization, and generating a task-node matching structure; compressing the central graph neural network model according to a matching result and deploying the central graph neural network model to edge nodes; selecting a communication mode in combination with the communication state, and configuring channel resources; executing local reasoning and asynchronously returning data; and finally, extracting features to complete data aggregation, feeding back task weights and node scores, and updating a scheduling strategy in a closed loop. According to the method, the global monitoring scheduling efficiency and the system stability under the environment of uneven resource distribution and communication fluctuation are effectively improved.

The invention provides a method for identifying a power grid frequency signal assessment standard, and the method comprises the steps: constructing a system architecture composed of a master station, a substation and a communication network, and achieving the initialization of equipment through a finite-state machine; the method comprises the following steps: collecting power grid frequency, power generation side frequency difference and communication state multi-dimensional data, processing signals by applying median filtering, a sliding window and an EWMA algorithm, introducing fuzzy logic to evaluate a system state, and dynamically adjusting a response strategy; an improved PID algorithm is adopted to track frequency change, feed-forward compensation and PSO parameter optimization are combined, a hidden Markov model is utilized to predict a communication fault, and local mode switching is triggered in advance; main station, mixing and local three-state switching is carried out according to communication states and load changes, and a frequency modulation dead zone is automatically adjusted according to power grid loads through a dynamic threshold value self-adaptive algorithm; the control effect is verified by using a digital twinning technology; and the safety and reliability of the system are guaranteed by optional quantum encryption and active-active redundancy design. The whole scheme effectively reduces the power loss of power generation enterprises, and maintains the safe and stable operation of a power grid.

The invention relates to the field of engineering construction, and discloses an intelligent engineering supervision system based on multistage linkage and multi-device linkage, which comprises a data acquisition module, an edge calculation module, an equipment cooperative control module, a communication optimization module and a task scheduling module. The system realizes real-time sensing and intelligent analysis of field data through multi-modal information acquisition and structured processing; the edge calculation module performs local processing on the structured data to generate a control instruction and task optimization data; the task scheduling module dynamically adjusts task distribution based on the communication state; the device cooperative control module ensures efficient linkage of multiple devices; the communication optimization module guarantees low time delay and high reliability of system data transmission. According to the invention, through a multi-stage linkage and multi-device cooperation mechanism, links of data acquisition, edge calculation, task scheduling and equipment control are broken through, and full-chain closed-loop control of construction site supervision is realized.

The invention discloses a dual-channel intelligent command communication system for a hydropower station. The dual-channel intelligent command communication system comprises a dual-channel communication arrangement module, a dynamic interference analysis module, a communication gain module and a communication state evaluation module, the dual-channel communication arrangement module comprises a first main channel and a second standby channel; two communication channels of the dual-channel communication arrangement module are in communication connection with the dynamic interference analysis module, the dynamic interference analysis module is in signal connection with the communication gain module, and the communication gain module is in data connection with the communication state evaluation module. The system solves the problems that a traditional hydropower station communication system is too single in communication mode, and signals are prone to being interfered in a complex and variable environment.

The invention discloses a tunnel PLC device wireless ad hoc network construction method supporting APP linkage, and belongs to the field of tunnel communication, and the method comprises the following steps: S1, constructing a signal comprehensive attenuation model based on tunnel geometric parameters, and obtaining a three-dimensional mixed channel matrix; s2, hierarchically expressing multi-dimensional data of tunnel physical topology, communication state and equipment operation by using a digital twin model to obtain a virtual model; s3, designing a double-link switching module supporting switching of PLC communication and wifi communication; and S4, designing multi-protocol conversion and management authority of APP cooperative control. By adopting the tunnel PLC equipment wireless ad hoc network construction method supporting APP linkage, the communication reliability, real-time performance and anti-interference problems of the PLC equipment ad hoc network in a complex tunnel environment are solved by fusing technologies such as laser scanning modeling, digital twinning, reinforcement learning and multi-protocol conversion, and the whole process optimization from environment perception to intelligent maintenance is realized.

The invention relates to the technical field of databases, and discloses a structural data synchronization method and system of a relational database. Data users are distributed to candidate data center servers deployed with the relational database; acquiring deployment state information and communication state information of a plurality of data center servers in a target structure data synchronization period, and solving an optimal relational database synchronization strategy of a server group by taking a synchronization target demand, a synchronization data volume demand and a synchronization frequency demand of each data user in different minimum service periods as a drive; therefore, the structure data synchronization between the relational databases is controlled. Therefore, by realizing the structure data synchronization between the relational databases under the scene of uneven regional communication load, the period consistency of the metadata of the databases is kept, the selection for the source data center server and the rationality and scientificity of the structure data synchronization path planning are improved, and the reliability of the structure data synchronization path planning is improved. The stability of the structure data synchronization period is ensured as much as possible.

The invention provides a multi-band mobile phone signal detection and alarm method and system, and relates to the technical field of communication safety monitoring, and the method comprises the steps: collecting and preprocessing an electromagnetic signal of a target area, obtaining a signal frequency spectrum through fast Fourier transform, extracting mobile phone signal characteristic frequency band information, and carrying out the detection and alarm. The communication state is judged according to the uplink and downlink frequency band signal strength ratio, the position of a mobile phone signal source is calculated based on a signal strength difference positioning algorithm, the moving track is recorded, the use scene is judged according to the track data and the communication state time sequence relation, the threat level is evaluated, and alarm information is sent. According to the invention, real-time monitoring and accurate positioning of mobile phone use behaviors in the target area can be realized, and the safety management and control efficiency is improved.

The invention discloses an intelligent road system for vehicle-road cooperation safety alarm, and relates to the technical field of vehicle-road cooperation alarm, and the system comprises a communication evaluation module which inputs an optimal communication path into a communication mapping model, a space matching layer carries out the fusion of road geometry and communication topology, a state mapping layer marks the signal intensity and spike node states, and a state analysis module which carries out the analysis of the optimal communication path; generating a communication quality thermodynamic diagram; the risk decision module is used for evaluating the risk level of each region based on the communication quality thermodynamic diagram and outputting priority transmission parameters; and the information transmission module starts sound-light alarm according to the priority transmission parameters, obtains an execution state report, and transmits the execution state report back to the command center. According to the method, the communication mapping model is constructed and the priority transmission parameters are dynamically generated, so that the accuracy of communication state evaluation is improved, and efficient cooperative processing and intelligent priority distribution of multi-source alarm information are realized.

The invention belongs to the technical field of unmanned aerial vehicle control, and particularly relates to a full-task process unmanned aerial vehicle link communication state prediction method which is used for predicting the link communication state of an unmanned aerial vehicle in a full-task process in advance when a task is executed, assisting ground control personnel in mastering the link communication state of the unmanned aerial vehicle in the full-task process, and improving the task performance. Whether link interruption is caused after the unmanned aerial vehicle executes the maneuvering action and the link interruption time are predicted in advance, so that a decision can be made in advance according to the task execution state, for example, the maneuvering action is not executed to ensure link communication, or the maneuvering action is limited, and the unknown state of unmanned aerial vehicle link-free flight is eradicated. Unpredictable and controllable risks are reduced, and the task applicability of the unmanned aerial vehicle is improved.

A communication self-inspection and emergency shutdown method for an offshore wind turbine generator comprises the following steps: acquiring heartbeat signal data between a fan main control unit and a looped network, analyzing frequency and intensity, and judging whether a signal is normal or not; if the signal intensity is low, the interference detection module is started to identify external interference or equipment faults, and a communication interruption timer is started accordingly. And once the communication interruption exceeds the preset duration, a fault is judged and a confirmation mechanism is triggered, and after the fault is confirmed, the main control unit sends an emergency shutdown instruction. And after shutdown, acquiring running state data of the fan to judge whether the fan is completely stopped, recording shutdown time and state change, generating a fault report covering fault types, interruption, shutdown time and fan state change, and uploading the fault report to a looped network monitoring system. According to the method, accurate self-inspection of the communication state of the offshore wind turbine generator is achieved, faults can be found in time, emergency shutdown measures can be taken, detailed data are provided for operation and maintenance personnel, and safe and stable operation of the wind turbine generator is guaranteed.

The invention relates to the technical field of communication management, in particular to a communication management method and system, and the method comprises the following steps: collecting overwater environment data in real time based on an overwater communication environment, obtaining weather forecast data in a future time period through weather forecast, extracting communication link node state data, and carrying out the data integration; and obtaining environment and link data. According to the invention, by predicting the weather and the communication link node state, communication faults can be timely identified and prevented, the continuity and stability of the communication link can be ensured, the reliability of the link can be evaluated by using the collected data, and the communication mode can be optimized according to the evaluation result. The whole communication system can automatically adjust and optimize the communication strategy when facing a complex and changeable environment, the control of the system on the communication state is enhanced through the real-time monitoring function, it is ensured that quick response and adjustment can be achieved when potential problems occur, and the communication quality is maintained.

The invention discloses a hydroelectric equipment real-time state data quality monitoring and discriminating method, which belongs to the technical field of hydroelectric equipment monitoring, and comprises the following steps: collecting measuring point data and working condition related parameters, and carrying out classified storage; performing classification processing according to the number of the measuring points to obtain index category labels, and establishing a data quality discrimination model; establishing a communication state discrimination model to carry out silent condition detection processing to obtain a communication state discrimination result of each measuring point; if the communication is interrupted, pushing alarm information; if the communication is normal, triggering all the data quality discrimination models in parallel to obtain a data quality discrimination result; if yes, alarm information is pushed, and a database containing working condition related parameter labels is updated based on the corrected standard value of the measuring point data of the current abnormal measuring point; and if normal, pushing state information, and updating the database containing the working condition associated parameter tag. According to the invention, the problem of monitoring failure caused by unstable data quality and communication interruption in hydroelectric equipment operation in the prior art is solved.

The invention discloses an electrical automation monitoring data optimization method and system based on edge calculation, and belongs to the field of data optimization. According to the method, the electrical, positioning and communication state data of the equipment are synchronously acquired through the edge computing node, the link quality index is generated based on the geometric precision attenuation factor and the communication state, and the joint feature sequence is constructed by associating the spatial position. And predicting the link risk in the first time period in the future according to the sequence by using a risk prediction model based on an attention mechanism long short-term memory network. And when the predicted risk meets the condition, adding a to-be-reconstructed label to the first electrical monitoring data with the high priority, and performing local caching. And in a second time period after communication recovery, the cache data and the risk information are sent to a central cloud platform, the cloud platform reconstructs the historical data and the supplementary transmission data according to the risk information, and finally complete target electrical monitoring data is generated, so that the integrity and effectiveness of the electrical automation monitoring data can be improved.

The invention relates to a transformer substation switch state monitoring system based on centralized monitoring, and relates to the technical field of power system automation, and the system comprises a data collection module which is used for integrating multi-source heterogeneous data; the state judgment module outputs the unique real-time comprehensive state of each switch according to the communication state, the alarm condition function and the multi-stage judgment logic of the original remote signaling; the outage diagnosis module is used for classifying events when the switch trips and automatically screening event sequence records (SOE) to position core diagnosis information; the influence domain pre-judgment module is used for determining all potential influenced switch sets through a graph traversal algorithm on the basis of a power grid topological structure when accident tripping occurs; and an interface generation module. According to the invention, through automatic integration and visual linkage of the operation state, the fault reason and the influence range of the switch, the monitoring intuition, the diagnosis accuracy and the emergency disposal decision-making efficiency are significantly improved.

The invention relates to the field of intelligent control, and particularly discloses an intelligent lighting control method based on a wireless networking technology, which is not limited to single signal strength or LQI, but enables a network node to actively and continuously sense a bidirectional communication state with a neighbor node. A node obtains RSSI and LQI with timestamps from a neighbor data packet, actively sends a packet to monitor ACK, counts successful ACK and retransmission times, and calculates a recent packet delivery success rate and expected sending times. Based on the multi-dimensional dynamic parameter, the comprehensive link cost to each neighbor is calculated. When a routing decision is made, after a node receives a neighbor routing declaration, the total cost of a potential complete path is calculated in combination with the cost of a comprehensive link from the node to the neighbor and the cost of a gateway declarated by the neighbor, and the total cost is compared with the current optimal path. And if the new path is better, the next hop is updated, the suboptimal routing is avoided, and the control instruction is ensured to be reliable and timely.

The invention discloses a train control system, method, equipment and medium based on active sensing and autonomous localization, and the system comprises a multi-source autonomous sensing system which collects and outputs the information of the environment in front of a train by fusing the sensing data of a plurality of sensors; the vehicle-mounted standby system is in communication connection with the multi-source autonomous sensing system, accesses a pre-stored digital track map and is used for dynamically generating route topology and movement authorization and generating a train control instruction according to the train front environment information, the train real-time position and the line data of the digital track map; a dual-mode communication switching unit is arranged in the vehicle-mounted standby system and used for monitoring the communication state of the main train control system, and when the main train control system breaks down, the train control right is automatically switched to the standby system. Compared with the prior art, after the main train control system loses efficacy, the train can be made to be independent of a central control system and a fixed electronic map, the real-time state of a line is automatically adapted, and the safe driving instruction is generated.

The invention discloses a communication method, device and equipment for electric power metering equipment and a terminal, and a storage medium, and the method comprises the steps: monitoring a communication state between a first intelligent electric meter and an electric power system center in real time, and the environment state of the environment where the first intelligent electric meter is located, and carrying out the communication according to the communication state and the environment state; and determining a target communication strategy of the first intelligent electric meter, determining a target communication channel uploaded to the power system center and to-be-uploaded target electric meter data in the target ad hoc network based on the target communication strategy, and uploading the target electric meter data to the power system center through the target communication channel. By adopting the method and the system, the ammeter data of the intelligent ammeter can be timely uploaded to the power system center in various complex scenes, so that the reliability and the toughness of the intelligent ammeter in a complex environment are optimized, and the problem that the ammeter data cannot be timely uploaded due to communication interruption between the intelligent ammeter and the power system center is solved.

A remote operation system includes: a work machine including an imaging device that captures a video around the work machine, a detection device that detects additional information other than the video, and a first communication device that transmits the video and the additional information; a remote operation room including an operation device, a second communication device that transmits operation information from the operation device to the first communication device and receive the video and the additional information, a display device that displays the video, and an output device that outputs the additional information; and a control device that performs control to transmit or receive essential information and the additional information between the first communication device and the second communication device. The control device controls each of the essential information and the additional information differently based on a communication status between the first communication device and the second communication device.

The invention discloses a communication detection system and detection method based on Beidou positioning, and belongs to the technical field of satellite communication. The method specifically comprises the following steps: S1, multi-source data acquisition and preprocessing: synchronously acquiring multi-dimensional data, and performing multi-stage preprocessing on the acquired multi-source data; and S2, signal feature recognition and interference recognition: extracting time-frequency domain features of the signals, constructing a hybrid model for deep learning interference recognition, and performing adaptive suppression on the interference. Through multi-dimensional synchronous acquisition of Beidou positioning data, sensor data and communication state parameters, comprehensive perception of the operation state of a communication system is realized, the limitation that a traditional method only depends on single data is broken through, rich basic data support is provided for subsequent analysis, and the data quality is further improved through a multi-stage preprocessing process. And a high-quality data basis is provided for subsequent interference identification, anomaly detection and the like.

The invention provides a distributed image transmission scheduling system for a multi-unmanned aerial vehicle formation, and aims to improve the stability and timeliness of large-scale unmanned aerial vehicle collaborative image acquisition and transmission. The system comprises an information acquisition module, a role determination module and the like. The information acquisition module acquires the electric quantity, communication state, cache occupation, historical fluctuation and position information of each unmanned aerial vehicle, and generates a node state data table and a path robustness reference table; the role determination module selects a main node and a candidate node based on the state data, and generates a role allocation table; the task distribution module divides an image acquisition area into sub-areas and generates a task assignment list in combination with node space distribution and a historical shooting success rate; the path generation module constructs a shortest path and a robust path for each image task and generates a path data table; and the scheduling generation module generates an image sending time schedule by scattering task time slots or switching paths according to a path conflict detection result, so that efficient and fault-tolerant data scheduling control is realized.

The invention provides a mining intelligent helmet instant messaging system. The system comprises a mining intelligent helmet, a base station system, an instant messaging module and a central control platform. Wherein the base station system is deployed at a plurality of target positions in a mine, and the plurality of target positions are determined by combining an artificial intelligence (AI) algorithm based on mine structure data and electromagnetic environment data; the instant messaging module is integrated in a mining intelligent helmet and a base station system and is used for automatically starting an instant messaging function when an emergency occurs in a mine; the central control platform determines the position, health condition and communication state of each miner in the mine, and generates rescue scheme information when determining that an emergency occurs in the mine based on big data analysis and an AI algorithm; and a risk avoiding route in the rescue scheme information is sent to the corresponding mining intelligent helmet through the instant messaging module so as to guide the mining intelligent helmet to reach a safe area. According to the invention, communication timeliness and reliability can be improved.

The invention relates to a vehicle-mounted network processing method and device, a storage medium, electronic equipment and a vehicle, and relates to the technical field of vehicle control, and the method comprises the steps: firstly, obtaining communication state information in a vehicle-mounted network; if it is judged that a fault Ethernet link exists according to the communication state information, whether a link switching condition is met or not is judged by analyzing vehicle driving information; and under the condition that the link switching condition is met, sending a link switching instruction to the plurality of domain controllers. According to the technical scheme, when the Ethernet link of the vehicle-mounted network breaks down, the Ethernet link can be switched to the standby link in a self-adaptive mode to guarantee transmission of key data, it is guaranteed that the functions of the whole vehicle are not affected, and major safety accidents are avoided. And the vehicle can still have normal driving capability under the condition of Ethernet link failure, so that the maintenance cost of a trailer and the like is saved.

The invention discloses an equipment centralized authentication and authorization emergency processing method, equipment, a medium and a product, and relates to the technical field of telecommunication. The method comprises the following steps: establishing a heartbeat detection mechanism between a main server and the equipment; monitoring the communication state between the main server and the equipment in real time by adopting the heartbeat detection mechanism; and when the communication state between the main server and the equipment is abnormal, starting an emergency mode, and starting a local authentication and authorization mechanism in the emergency mode until the communication state between the main server and the equipment returns to normal. The heartbeat detection technology and the local emergency authentication mechanism are introduced, so that the problem that the service continuity cannot be ensured when the system is abnormal in the prior art is solved.

The invention relates to the field of vehicle intelligent networking, in particular to a vehicle network connection method and device, computer equipment and a storage medium, and the method comprises the steps: obtaining a communication condition between a vehicle and a base station; analyzing whether the communication condition meets a network switching condition; if the network switching condition is met, the vehicle is controlled to be connected to a mobile network of a target terminal, the network state of the vehicle is detected, and the target terminal is the mobile terminal associated with the vehicle; and if the network state is an abnormal state, corresponding network recovery operation is executed based on the network deployment condition of the environment where the vehicle is located. According to the embodiment of the invention, omnibearing network connection is realized for the vehicle network by using the mobile network of the target terminal and the network deployment condition of the environment where the vehicle is located, so that the vehicle can normally perform various recreational activities even in an area with poor network signals, the smoothness of the mobile network is ensured, and the vehicle use experience of a user is improved.

The invention relates to the technical field of electric power, in particular to an electric energy meter data acquisition method, device and equipment based on dual-mode communication and a medium, and the method comprises the steps: inputting the predicted communication state information of each communication mode at the current moment into a mode selection model, and obtaining the initial selection probability of each communication mode; determining a target communication state information dimension from all preset communication state information dimensions according to historical communication state information of any communication mode at all historical moments; and optimizing the initial selection probability according to all target communication state information dimensions of each communication mode to obtain a target selection probability of each communication mode, and selecting an optimal communication mode for a central coordinator CCO to collect electric energy meter data. According to the invention, the data transmission delay can be reduced, the overall response speed of the system is improved, the communication distance is prolonged, and the anti-interference capability is greatly enhanced.

The invention relates to the technical field of rail locomotive remote intelligent monitoring scheme design, in particular to a rail locomotive remote intelligent monitoring method and system and electronic equipment. A plurality of monitoring points are arranged on a running route of a rail locomotive, and a target area image is collected in real time and transmitted to a control module on the rail locomotive through a cloud server. And the control module identifies the image by using a trained YOLO model, judges whether a person and a track exist at the same time, constructs a dangerous area if the person and the track exist at the same time, judges whether the person exists in the dangerous area, calculates the actual distance between the person and the locomotive, and intelligently controls the running state of the track locomotive according to the distance. And the possibility that equipment in the locomotive is damaged or the management is disordered due to emergency braking of the locomotive is reduced. Meanwhile, the system can monitor the communication state between a monitoring point and the locomotive in real time, and the monitoring reliability is ensured. And the intelligent degree, the safety and the operation stability of the operation of the rail locomotive are improved to a great extent.

The invention relates to the technical field of mobile communication, in particular to a mobile communication intelligent selection method based on multi-operator signal collaboration, and the method comprises the steps: obtaining the signal state information of a current operator of target terminal equipment in a target time period, so as to determine the communication state of the target terminal equipment; determining a signal monitoring mode based on the operation state of the target terminal device; based on the signal state information of the current operator in a preset sliding time window, the signal state information of each non-service operator and a preset signal quality evaluation model, determining the signal quality change trend of the current operator and each non-service operator so as to determine the operator switching state of the target terminal equipment; and completing cross-operator mobile communication selection of the target terminal equipment based on the operator switching state of the target terminal equipment. According to the invention, cooperative monitoring, joint evaluation and intelligent selection can be carried out on signals of multiple operators in a single network working state.