588 results about "Long-haul communications" patented technology

The invention relates to the technical field of power grids, in particular to a metering box remote monitoring method, system and device based on artificial intelligence and a medium. Acquiring electrical parameter data and environmental data of the metering box; performing time domain and frequency domain feature extraction on the data to obtain key features; inputting the processed data into a preset abnormal state detection model; identifying an abnormal state of the metering box based on a model output result; and when the abnormity is identified, alarm information is generated and sent to a monitoring terminal through a remote communication network. Multi-dimensional monitoring data are collected in real time through multiple sensors, feature extraction and anomaly detection are performed by applying an artificial intelligence technology, a model is continuously optimized in combination with an online learning mechanism, and comprehensive sensing of the running state of the metering box and accurate recognition of the abnormal state are achieved. Compared with a traditional monitoring system, the method improves the detection accuracy, reduces the false alarm rate and the missing report rate, improves the fault processing efficiency through the automatic generation of the maintenance suggestions, and provides a powerful guarantee for the operation of a power system.

The embodiment of the invention provides a cloud side-end cooperative control method and system based on remote communication. The method comprises the following steps: generating a task scheduling input data set according to real-time operation state data generated by terminal equipment in a remote communication process, current computing resource information of an edge computing node and global optimization target parameters issued by a cloud management system; calling a preset task scheduling decision model to carry out structured splitting on the cloud side-end cooperative control task to obtain original task structure information; task structure labeling information is generated for sub-task labeling priorities in combination with multi-aspect information, and cyclic matching deduction processing is performed on the task structure labeling information to obtain a hierarchical resource allocation result; and distributing the sub-tasks to corresponding cloud edge end nodes (including a first node corresponding to the terminal device, a second node corresponding to the edge computing node and a third node corresponding to the cloud management system) for execution, and configuring a task execution process adjustment mechanism based on real-time resource change to adapt to resource fluctuation.

The invention discloses a self-adaptive intelligent device system for water ecological restoration and water quality improvement, and particularly relates to the field of water ecological restoration, the self-adaptive intelligent device system comprises a monitoring module, a control module, a restoration module, an energy supply module and a remote communication module, and the modules are connected through signals; the monitoring module is used for monitoring the temperature, the pH value, the dissolved oxygen, the turbidity and the nutritive salt content of the water body in real time as well as the water level change, the water flow speed and the meteorological conditions; the control module analyzes and processes the monitoring data, automatically generates a control instruction according to a preset target and rule, and adjusts the operation parameters and the working state of the repair module; the restoration module is used for restoring the water body; the energy supply module is used for providing stable and reliable energy supply for the whole device system. The change trend of the water quality parameters can be predicted in advance, so that the system can take measures in advance, manual intervention is reduced, and the automation degree and the operation efficiency of the system are improved.

The invention discloses an intelligent detection method for water pollutants, which comprises the following steps of: transmitting a signal of a specific frequency band to a water body through an electromagnetic wave transmitting module, acquiring reflected and refracted signals by using a multi-channel receiver, extracting the characteristics of dielectric constant, refractive index and the like of the water body, and analyzing the types and the concentration range of the pollutants by adopting a pattern recognition algorithm; the method comprises the following steps: selecting a micro-fluidic chip and an electrochemical unit, selecting a corresponding biosensor for targeted detection, processing detection data through the micro-fluidic chip and the electrochemical unit, predicting the concentration, spatial distribution and trend of pollutants through a data analysis module, setting a dynamic self-adaptive threshold by the system, realizing pollution early warning, and uploading data to a cloud platform through a remote communication module. And remote monitoring is supported. The method can be widely applied to the fields of water quality monitoring, environmental protection and pollution control, and the detection precision, the real-time performance and the intelligent level are improved.

The invention provides a remote intelligent lock control method based on a cloud platform, and relates to the technical field of artificial intelligence, and the method comprises the steps that the cloud platform issues a sound wave signal emission instruction to a target intelligent lock, and triggers the intelligent lock to send multi-band sound wave signals to a preset auxiliary signal enhancement device deployment position A and a preset auxiliary signal enhancement device deployment position B; and the cloud platform receives sound wave feedback signals returned by the position A and the position B, calculates a final communication path based on signal propagation time delay, frequency band interference intensity and attenuation parameters in combination with a real-time signal quality index reported by the remote communication module, and sends a dynamic encryption instruction to the remote communication module through the final communication path. According to the method, the optimal transmission path is dynamically calculated, the traditional single channel transmission limitation is broken through, reliable transmission of the control instruction can still be guaranteed in a complex electromagnetic environment or an obstacle shielding scene, and the communication interruption rate is reduced.

A cross-platform automated vehicle communication and operational control system. The communication system may use a dual communication system that facilitates spaced vehicle operations that transition into interactive machine activities. This communication system uses remote communications to coordinate multiple vehicles, establish missions, conduct remote oversight and track a vehicle fleet. The system's dual communication also includes direct vehicle-to-vehicle communications to manage direct interactions without delay. The operational control system establishes a machine profile and mission planning system for multi-machine project control across platforms.

The invention discloses a deterministic soft bus communication method for a virtualized industrial control system, and relates to the field of industrial automation. According to the method, a soft bus communication mode is adopted, so that the containers are interacted through the intermediate message bus, and direct connection does not need to be directly established; all data streams are managed by a unified bus, so that the number of connections is reduced; and meanwhile, a shared memory zero copy mechanism is adopted to optimize data transmission, and the data is directly shared between a producer and a consumer by using a shared memory and a direct memory mapping mode, so that unnecessary copy operation is avoided, the overhead of data transmission is reduced, and the communication efficiency is improved. According to the invention, a unified and efficient communication channel can be established among a plurality of industrial edge applications on the edge device, real-time communication among local containers is supported, automatic routing capability of remote communication is realized, and the communication requirements of high concurrency and high real-time performance in a virtualized industrial control system are met.

The invention relates to a multivariable composite sensing health detection management system and an intelligent terminal. The multivariable composite sensing health detection management system comprises a multi-source input module, an algorithm processing module, a power supply module and a wireless communication module. The acquisition signal output end of each independent acquisition source in the multi-source input module is connected with the acquisition signal input end of the algorithm processing module; a data communication end of the algorithm processing module is connected with a first data communication end of the wireless communication module, and a wireless communication path is established between a second data communication end of the wireless communication module and a remote terminal; and the algorithm processing module identifies the multi-source acquisition signals and local user basic information, and pushes corresponding detection results. Through the technical means of multi-sensor data fusion, intelligent algorithm recognition, remote communication transmission and the like, the comprehensiveness, accuracy and user experience of health detection are improved.

The invention relates to the technical field of distributed control systems, and discloses a distributed valve body remote control system which comprises a valve body state acquisition module, a remote communication analysis module and the like. The valve body state acquisition module acquires parameters such as opening, fluid pressure and surface temperature of a multi-area valve body according to a monitoring period, and a high-frequency monitoring mode can be started; the remote communication analysis module evaluates communication delay; the distributed coordination module synchronizes parameters when communication is normal, and calculates a dynamic regulation factor through a formula to generate a regulation instruction; the instruction distribution module determines an instruction distribution sequence according to a priority weight formula, and is provided with delay and forced distribution strategies; and the abnormal response module gives an alarm and marks the position code of the valve body when the communication delay exceeds the limit or the weight is continuously too low. And the system also checks and complements the acquired data. The system improves the monitoring control precision and reliability, and is suitable for remote monitoring of multi-area valve bodies.

The invention discloses a low-voltage transformer area quantum encryption communication method based on a cloud edge-end architecture. The method comprises the steps that S1, a main control board of edge equipment C sends network access authentication data to a remote communication bin of the edge equipment C; s2, the end equipment S performs network access authentication; s3, the edge device C obtains an initial secret key K; s4, the end equipment S obtains an initial secret key K; s5, session key distribution is carried out between the side equipment C and the end equipment S; s6, the side equipment C sends downlink data to the end equipment S; step S7, the end equipment S sends uplink data to the side equipment C; and S8, updating the session key. According to the invention, the problems of poor cloud side end communication security and low key use efficiency in the prior art can be solved.

The invention discloses a remote upgrading method, a remote upgrading party system, mining equipment and a computer readable storage medium. The remote upgrading method comprises the following steps: receiving a program upgrading package through a remote communication technology; in response to the fact that the security upgrading condition is met, backing up the original program data to obtain backup program data, and carrying out program upgrading according to the program data in the program upgrading package, the backup program data being used for supporting program rollback when an upgrading failure occurs in the program upgrading process; and controlling the display interface to display visual information in the program upgrading process. Therefore, according to the technical scheme of the invention, a remote upgrading function with excellent performance can be realized, so that the maintenance efficiency is improved, the maintenance cost is reduced, and the reliability is high.

The invention discloses an electric energy metering device remote interaction system based on parallel communication, relates to the field of electric energy metering and remote communication, and solves the problems that an existing system is low in data transmission efficiency, poor in reliability and insufficient in safety. The system comprises a system master station module, an electric quantity acquisition terminal module, a parallel communication module and a fault early warning module. The parallel communication module comprises a parallel interface unit, a communication protocol diagnosis unit, a communication control module, a communication protocol matching unit and a parallel communication protocol unit, and allows multiple channels to transmit data at the same time. The system master station module is responsible for data processing, management and control, the electric quantity acquisition terminal module is responsible for acquiring and transmitting data in real time, and the fault early warning module ensures safe and stable operation of the system. According to the scheme, the data transmission efficiency and reliability are improved through the parallel communication technology.

The invention relates to the field of remote monitoring of power equipment, and provides an intelligent electric energy meter remote fault diagnosis and early warning system which comprises a data acquisition module, a data preprocessing module, a fault diagnosis module, an early warning generation module and a remote communication module. The system overcomes the defects in the prior art, is reasonable in design and compact in structure, and collects and processes voltage, current, active power and reactive power parameters of the electric energy meter in real time; basic information of voltage and current is analyzed, multi-dimensional features of voltage statistical features, current fluctuation features and power fluctuation rate features are extracted, and comprehensive analysis is carried out; based on a machine learning algorithm, performing intelligent analysis and fault probability prediction on the collected data; early warning signals of different levels are dynamically generated according to the fault probability and are transmitted to a control center in real time through a remote communication module.

The technical solution is directed to ultra-high reliability (UHR) extended long-range (ELR) packet formats for enhanced long-range communications and applications. A sender can identify data to be transmitted wirelessly to a receiver according to UHR-ELR format. The sender can generate a preamble for a PPDU frame of the UHR-ELR format. The preamble can include slots for a legacy portion and for the UHR-ELR portion. The sender can include an ELR symbol in a slot the legacy portion to auto-detect that the PPDU frame is for UHR-ELR. The sender can identify a power boost for transmitting at least a L-STF or a L-LTF and transmit the PPDU frame providing the power boost to the L-STF or the L-LTF.

The invention relates to the technical field of deep and far sea structure monitoring, and discloses an intelligent monitoring system and method for a deep and far sea floating structure based on an optical fiber sensing technology, and the system comprises a data collection and processing module which employs an optical fiber sensor to collect and align a strain signal, a vibration signal and a temperature signal of the deep and far sea floating structure, obtaining a strain distribution curve, vibration spectrum characteristics and temperature field mapping; the intelligent monitoring module is used for generating an abnormal positioning result, a damage trend model and noise compensation data; the health diagnosis module outputs a diagnosis report; and the remote communication module is used for starting real-time total transmission of the low-orbit satellite communication terminal when the risk level reaches the target level, otherwise, maintaining incremental compression transmission of the ad hoc network buoy relay unit. The problems that a traditional monitoring mode is low in efficiency and poor in real-time performance in a deep and far sea environment, conventional electronic monitoring equipment is prone to faults, and data transmission is unstable can be solved, the intelligent level and reliability of monitoring are improved, and the safety monitoring requirement is met.

The invention provides a telecontrol fire alarm system, and the system comprises a multi-mode sensing module which is used for collecting fire characteristic parameters and environment parameters; the data processing module is used for generating a fire probability index through a data fusion algorithm; the remote communication module is used for transmitting the processed data to related equipment in the form of an encrypted data packet; the fire extinguishing control module is used for starting a corresponding graded fire extinguishing strategy according to the fire probability index; the video linkage module is used for determining a video switching priority by adopting a multi-dimensional quantitative model; the self-checking module is used for regularly carrying out integrity checking; the edge computing gateway is responsible for receiving, processing and forwarding data of each module and dynamically adjusting system parameters; according to the invention, through a multi-modal sensing and dynamic weighting data fusion algorithm, high-order derivative-based gas anomaly detection, intelligent video linkage, self-adaptive channel switching and regular self-inspection technology, the accuracy and response speed of fire detection are improved, and the reliability and safety of the system are guaranteed.

The invention discloses an electronic watt-hour meter intelligent data processing system and method based on remote communication, and relates to the technical field of watt-hour meter data processing.The method comprises the steps that windowing management is conducted on electric energy data, data pre-evaluation is conducted at the same time, and data windows needing to be processed are screened out; adjusting infrastructure constraints to reduce the basic capability limitation of decision processing; performing hierarchical judgment on the data window marked as needing to be processed so as to optimize a decision processing level, and performing gap data processing according to a hierarchical judgment result; key data of all electric energy meters and corresponding time periods are collected and analyzed in real time, data portraits of different objects and time periods are constructed, analysis is carried out according to various data anomalies and operation states, various decision parameters are dynamically adjusted, efficient processing and decision optimization of the data of the electric energy meters are achieved, and the data processing efficiency is improved. Therefore, the problem of low accuracy in dynamic statistics and trend analysis of the acquired real-time electric energy data caused by improper decision processing of the data in the prior art is effectively solved.

The invention provides a dual-mode cooperative control and alarm method and system for a refrigerator and a medium, and the method comprises the steps: firstly, enabling the refrigerator to enter a remote control mode by default after the refrigerator executes self-inspection and initialization, and carrying out the interval or local recognition verification based on a remote communication instruction, and switching the control mode; the control right is dynamically allocated according to the preset instruction priority when the instruction conflicts; dual-mode arbitration and cooperative temperature control instructions are adopted to improve the automation level of the production line; then, based on a preset threshold judgment logic, triggering first-level early warning, second-level protection or third-level linkage according to the multi-source heterogeneous data, shortening fault response time and avoiding storage failure of key samples; and finally, analyzing historical data based on machine learning to pre-judge the service life of the part, and actively pushing maintenance suggestions so as to reduce shutdown maintenance and improve energy efficiency. The refrigerating machine is comprehensively improved from a control framework and a safety protection mode to an operation and maintenance mode.

The invention discloses a smart park electricity consumption information acquisition equipment warehouse logistics remote monitoring system, relates to Internet of Things remote data monitoring, and solves the problems that in the prior art, the electricity consumption information acquisition equipment warehouse logistics remote monitoring capability is lagged, the data communication efficiency is low, and the data processing capability is poor. The system comprises an intelligent sensor module, a video monitoring module, a central server module, a remote control module, a network security module, an artificial intelligence module, a risk early warning module, a system integration and interconnection module and a privacy protection module. The remote control module provides a remote control function through the logistics monitoring cloud platform, and the logistics monitoring cloud platform remotely monitors and controls the electric information acquisition equipment and the warehouse logistics equipment through a remote communication protocol and a security access method; according to the invention, the warehouse logistics remote monitoring capability of the smart park electricity consumption information acquisition equipment is greatly improved.

The invention discloses an RDMA asynchronous communication optimization method and system based on a lock-free queue, a medium and a processor, and relates to the technical field of remote communication. The method comprises the following steps: constructing a lock-free annular buffer area at an edge node, registering the lock-free annular buffer area as an RDMA memory area, and configuring a queue and a thread pool; the collection thread concurrently writes data, and the RDMA submission thread asynchronously completes remote transmission based on a buffer area state; and the queue processing thread performs closed-loop linkage transmission and buffer area states through'batch polling-result analysis-state synchronization-exception processing ', and dynamically adjusts the buffer area and queue parameter optimization performance at the same time. The problems that an existing RDMA scheme is poor in thread cooperation, weak in resource adaptation, not timely in state linkage and the like are solved, transmission delay and CPU overhead are greatly reduced, communication stability and the resource utilization rate are improved, and the method is suitable for edge computing and other high-concurrency data interaction scenes.

The invention discloses a canal channel construction area excavation quality three-dimensional visualization control system, and belongs to the technical field of constructional engineering. The system comprises a three-dimensional scanning device, a data processing device, a three-dimensional visualization display module, a quality comparison detection module, a system control decision module, a remote communication monitoring module and a historical data storage module. The data are compared with a standard three-dimensional model generated by a design drawing, a deviation area is accurately detected, the construction precision and quality are improved, it is ensured that construction always meets design requirements, real-time data of a construction site are converted into the three-dimensional model, constructors are helped to rapidly recognize problems and adjust the problems in time, and the construction efficiency is improved. According to the invention, automatic correction suggestions are provided for constructors, the construction method, equipment selection and resource allocation are optimized, the construction efficiency is greatly improved, and the remote and high-efficiency construction requirements can be met through remote communication and remote control functions.

The invention relates to the technical field of circuit breakers, and discloses a fast-to-install primary and secondary fusion pole-mounted circuit breaker which comprises an installation frame and a circuit breaker body arranged on the installation frame, and core power electronic components such as an insulated gate bipolar transistor (IGBT) chip and a module are integrated in the pole-mounted circuit breaker body. The mounting rack is used for mounting a circuit breaker body to realize the functions of automatically cutting off a circuit and remote communication when a fault occurs, the mounting rack comprises a clamping assembly and a supporting piece, the supporting piece is used for mounting the circuit breaker body, and the clamping assembly is used for fastening the supporting piece on a telegraph pole. According to the pole-mounted circuit breaker, assembling and wiring of the circuit breaker body are completed on the ground firstly, then the circuit breaker body is rapidly fixed to the telegraph pole through the installation frame, the effect of improving the installation efficiency and reliability of the pole-mounted circuit breaker is achieved, and meanwhile the use flexibility of the installation frame is high.

The invention provides an energy-saving compressor intelligent self-adaptive control system based on multi-sensor fusion, which belongs to the technical field of industrial compressor intelligent control and comprises a data acquisition module, a signal conditioning module, a multi-sensor information fusion module, an intelligent control decision module, an execution driving module and a system power supply management module. A state display alarm and remote communication module can be additionally arranged. Multiple sensors collect operation and environment parameters of the compressor, and after conditioning, a comprehensive state evaluation result is generated through D-S evidence theory or fuzzy logic fusion; the intelligent module generates a control instruction based on a load prediction algorithm and a fuzzy PID self-tuning strategy, and the execution module drives the compressor to act; the power supply module supports solar power supply and multi-power supply switching. The system overcomes the limitation that a traditional compressor is single in sensing, rigid in control and the like, comprehensive sensing, accurate evaluation and self-adaptive energy-saving control are achieved, the operation stability is improved, and the energy consumption and the operation and maintenance cost are reduced.

The invention relates to the field of remote communication network optimization, and discloses a predictive remote communication method and system. The method comprises the following steps: generating a time sequence sample structure based on historical communication data, and constructing a deployable model through LSTM model training and Bayesian optimization; receiving a communication request in real time, predicting a demand probability, and triggering a dynamic handshake protocol to be connected with the security encryption; generating optimal path configuration by combining network topology analysis and a dynamic programming algorithm; and finally, online updating of the model is realized through performance monitoring and incremental learning. According to the method, time sequence prediction and dynamic path optimization are fused, the problems that model training and network topology are disjointed, dynamic optimization lags and the like in a traditional method are solved, the connection establishment speed and the transmission stability in a high-delay scene are remarkably improved, and meanwhile the self-adaptive capacity of the system is enhanced through embedded packaging and a hot updating mechanism.

The invention discloses a control system of an electric heating mattress. The control system comprises the electric heating mattress and a client. A wireless communication link is established between the client and the main controller of the electric heating mattress, and the client is used for providing a man-machine interaction access interface. The electric heating mattress is provided with a main controller and a temperature PID (Proportion Integration Differentiation) controller, and the main controller is connected with the temperature PID controller; the main controller of the electric heating mattress is configured to execute the following remote control steps: acquiring a remote authentication request sent by a client; when the remote authentication request passes authentication, receiving a switching instruction and / or a temperature control instruction of the client; opening and closing the electric heating mattress according to the switching instruction; and according to the temperature control instruction, the temperature PID controller is instructed to perform heating work. According to the invention, the client is introduced to construct a remote communication link with the electric heating mattress, so that the problem of potential safety hazards of a traditional electric blanket is effectively solved.

The invention relates to the technical field of intelligent old-age care and health monitoring. The invention provides a tumble detection and emergency response system for the elderly at home based on multi-modal sensing fusion, and the system comprises a sensing module which is used for collecting the multi-modal data of the elderly and at least comprises a depth camera array, an inertial measurement unit, a millimeter wave radar, an audio sensor array, and a pressure sensing pad; the decision-making module is used for receiving, synchronizing and processing the multi-modal data, comprises a dynamic confidence fusion engine and is used for calculating a dynamic confidence score for the data streams acquired by the sensing module in real time and carrying out information fusion through a collaborative game algorithm based on the dynamic confidence score of each data stream to obtain a multi-modal data fusion result; generating a fall detection decision with a situation tag; and the response module is used for executing grading emergency response operation and comprises a local alarm unit, a remote communication unit and an interface unit linked with a community service and emergency center.

The invention provides a quantum circuit semi-cutting mechanism for a distributed quantum computing environment, and the mechanism comprises an isomorphic sub-circuit multiplexing mechanism which is used for recognizing isomorphic sub-circuits in a quantum circuit, and cutting the quantum circuit into the isomorphic sub-circuits, so as to facilitate the multiplexing of an execution result of the isomorphic sub-circuits; according to the quantum circuit semi-cutting mechanism, remote operation is eliminated by cutting key quantum bits in a quantum circuit and gate operation, and the classic post-processing overhead during cutting of a large quantum circuit is reduced. The mechanism solves the problems that in the prior art, isomorphic sub-circuits cannot be reused, and the number of cutting operations is large; the remote communication operation in distributed quantum computing is reduced, and the execution reliability of the quantum circuit is improved.

A remote communication device (110) determines (510) an establishment cause for connecting to a network node (120A, 120B) of a communications network. Further, the remote communication device (110) transmits (520,530) a message including the establishment cause to a relay communication device (110). Responsive to transmitting the message, the remote communication device (110) establishes (540) a connection to the network node (110) via the relay communication device.

The invention discloses a power supply intelligent control management system based on dynamic load identification. The system comprises a data acquisition module, a signal processing module, a dynamic load identification module, a control decision module, an execution and feedback module, a man-machine interaction module and a remote communication module. The data acquisition module is used for performing high-frequency sampling on voltage, current, power factor, active power, reactive power and current waveform data in a power supply circuit; and the signal processing module is used for preprocessing the collected data, including filtering, denoising, normalization and feature extraction. The limitation that a traditional power supply control system can only execute static timing or coarse-grained control is broken through, and dynamic identification, intelligent management and remote interaction control of loads are realized by fusing multiple intelligent algorithms and deep customizable strategies; the method has remarkable technical progress and practical application value in the aspects of energy conservation, safety, intelligence and user experience.

The invention relates to the technical field of tunnel intelligent construction equipment, and discloses an in-tunnel intelligent rubber-tyred vehicle which comprises a vehicle frame, the two ends of the vehicle frame are fixedly connected with two cabs, and the upper surfaces of the cabs are fixedly connected with a gateway switch and a vehicle-mounted industrial personal computer; a multi-mode sensor module is arranged outside the cab, and the multi-mode sensor module comprises a laser radar, a visual camera and an ultrasonic probe and is used for sensing the environment in the tunnel; the gateway switch is internally provided with a fusion positioning module and a wireless communication module and is used for realizing vehicle positioning and remote communication; a control module and an execution module are arranged in the vehicle-mounted industrial personal computer, and the vehicle-mounted industrial personal computer is used for receiving the sensing information, generating a control instruction and then driving the vehicle to run according to the control instruction. The heterogeneous data of the laser radar, the visual camera and the ultrasonic probe are fused through the multi-mode sensing system, a tunnel three-dimensional dynamic environment model is constructed, and the obstacle type and spatial distribution are recognized in real time.