1559 results about "Remote communication" patented technology

The invention discloses a disaster prevention emergency communication command management system based on a remote communication technology, and relates to the technical field of emergency communication and disaster management, and the system comprises a data collection and fusion module which is used for obtaining multi-source data from a communication network state, navigation positioning information and remote sensing monitoring data, and processing the multi-source data by adopting a dynamic weighted fusion algorithm. According to the disaster prevention emergency communication command management system based on the remote communication technology, by using a data acquisition and fusion algorithm, an accurate disaster evolution prediction model and an optimized resource scheduling scheme, the lagging of disaster emergency decision can be significantly reduced, and the emergency response efficiency is improved; through intelligent decision support and resource scheduling, it is ensured that emergency commanders can make correct decisions quickly and efficiently, loss caused by disasters is reduced to the maximum extent, emergency resources can be allocated in time under extreme conditions, and it is ensured that emergency response is not interrupted.

The invention provides a comprehensive and intelligent mariculture net cage management and control system. The system integrates a multi-parameter sensor module, an underwater robot module, an underwater camera module, a central control module, a data storage and analysis module, an early warning module, a remote communication module and an automatic execution module. By monitoring multiple environmental parameters such as water temperature, salinity, dissolved oxygen and the like in real time and utilizing the underwater robot and the underwater camera to carry out autonomous inspection and fish behavior observation, the system can accurately master the culture environment condition. The AI algorithm and the intelligent model are combined, the system dynamically adjusts the bait casting amount, the oxygenation frequency and the net cage position, and the breeding benefits are effectively improved. Meanwhile, the early warning module carries out graded early warning on risk events such as typhoon and diseases, and the breeding safety is ensured. The remote communication and visual human-computer interface further enhances the remote monitoring and management capability of the system.

A system for delivering ordinance is disclosed. The system includes a flight capable drone having a lift capacity suitable for carrying a munition, a fire control module in communication with the munition, and a handheld device in remote communication with the fire control module. At least one encrypted firing code generated by the fire control module is received by the handheld device and the munition is armed in accordance with at least the location of the drone.

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 invention relates to the field of bridge monitoring, and particularly discloses a crack monitoring system for a fixed end of a steel-concrete composite beam. The method is used for solving the problems that multi-source information fusion, hot spot stress on-line accurate calibration, fatigue life real-time accurate evaluation, S-N curve dynamic correction and remote visual early warning are difficult to realize in crack monitoring of a fixed end of an existing steel-concrete composite beam under complex load and environmental interference. Comprising a multi-sensor data acquisition module, an edge preprocessing module, a data fusion and damage identification module, a hot spot stress calibration module, an early warning decision module, a visual remote communication module and a digital twinborn calibration module. According to the invention, through integration of multi-sensor synchronous acquisition, edge intelligent preprocessing, multi-source data fusion, online hot spot stress calibration and digital twinborn calibration, Monte life prediction and early warning and hybrid energy management, high sensitivity, low power consumption and accurate early warning of steel-concrete composite beam fixed end crack monitoring are realized.

The invention relates to the technical field of electrical variable measurement, in particular to a control system and a control method of a battery measuring instrument. The method comprises the following steps: acquiring single voltage, total voltage, current and internal resistance data of a battery pack to obtain initial electrical parameters; collecting the surface temperature of the battery pack to obtain an initial thermodynamic parameter; performing synchronous time sequence integration on the initial electrical parameters and the initial thermodynamic parameters, and unifying formats to obtain a battery running state monitoring data set; and performing dynamic threshold determination and trend analysis on each parameter based on the battery operation monitoring data set to obtain an abnormal state identification result. By constructing a complete intelligent monitoring system covering data acquisition, processing, abnormity identification, state evaluation, communication packaging and visualization, high-precision real-time monitoring, fault pre-judgment and remote communication of the running state of the battery are realized, and the synchronism, the accuracy and the adaptability of the system and the intelligence and the practicability of field application are remarkably improved.

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 belongs to the technical field of nerve regulation and control, and discloses a portable noninvasive brain deep electrical stimulation system based on time interference, and the system comprises an electroencephalogram signal collection unit which is used for obtaining an electroencephalogram signal in a high-quality resting state, and carrying out the signal preprocessing and feature extraction, thereby obtaining an optimal stimulation envelope frequency; the personalized finite element modeling unit is used for constructing a head personalized model and outputting optimal electrode configuration and stimulation parameters for a target brain region target spot; the electrode positioning and stimulation execution unit is used for realizing accurate positioning of an electrode position and implementing time interference electrical stimulation; the MCU unit is used for realizing data management, task scheduling and remote communication; the human-computer interaction unit is used for realizing visual treatment flow and parameter setting; and the power supply management unit provides stable working voltage for the system. According to the invention, the portable, intelligent and personalized modeling of the electrical stimulation treatment equipment is realized, and the precision and efficiency of nerve regulation and control are remarkably improved.

The invention discloses a communication method for an enterprise network and remote router equipment of a DCS (Distributed Control System). A communication adaptation module is arranged at an enterprise network end and comprises a protocol conversion unit, a data encryption unit, a flow regulation and control unit and a timestamp embedding unit; the far-end router equipment end is provided with a corresponding reverse communication adaptation module. Two-way interaction of data and control instructions is realized through a two-way communication link, and a dynamic link detection and repair sub-module is configured to guarantee stability of the link. According to the method, the problems of protocol compatibility, data security, flow regulation and control, time management, link maintenance and the like are solved, the communication efficiency and quality are improved, efficient, safe and stable operation of remote communication and control functions of the DCS in industrial production is ensured, and the method has a good application prospect.

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.

The invention provides a robot fire-fighting inspection early-warning supervision system, and relates to the technical field of fire-fighting inspection, the robot fire-fighting inspection early-warning supervision system comprises a robot body and a master control system, the robot body is internally provided with a multi-mode sensing array and an autonomous navigation unit, and the master control system comprises a dynamic prediction engine, a data fusion platform and a remote communication terminal. The remote communication terminal is used for connecting the robot body and the master control system for data communication and supervision; the multi-modal sensing array integrates a plurality of sensing units and is used for collecting sensing data in a plurality of types; according to the invention, a multi-modal sensing array is integrated, multiple kinds of sensing data are collected, synchronous monitoring of multiple parameters is realized, a laser radar and visual SLAM fusion technology is adopted, a three-dimensional risk map is constructed, the precision of autonomous navigation is improved, a double-Kalman filtering algorithm is adopted, dynamic noise reduction is carried out on laser radar data, and the accuracy of autonomous navigation is improved. And the navigation precision can still be kept in an external complex environment.

The invention discloses a control method, system and equipment of a remote rehabilitation robot, a medium and a product, and belongs to the technical field of robots. The method comprises the steps of obtaining multi-modal data of a patient end, obtaining a time delay prediction value through prediction of a long short-term memory network model, dynamically adjusting admittance parameters of an admittance model according to the multi-modal data and the time delay prediction value, and finally controlling the remote rehabilitation robot according to the dynamically adjusted admittance parameters. According to the method, the admittance parameters of the admittance model are dynamically adjusted in real time based on the time delay predicted value predicted by the long-short-term memory network model and the electromyographic signals of the patient in the multi-modal number, dual adaptation of the network state and the physiological features of the patient is achieved, the admittance parameters are dynamically adjusted through the electromyographic signals, and the change requirement of the complete rehabilitation cycle of the patient is met; admittance parameters are dynamically adjusted through the time delay prediction value reflecting the network time delay state, and the time delay disturbance requirement in the remote communication environment is met.

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.

A multimedia gravesite memorial device includes a multimedia unit that has a display for displaying imagery and a plurality of speakers for emitting audible sounds. The multimedia unit is in remote communication with a personal electronic device thereby facilitating the multimedia unit to store imagery of a loved one and audio of the loved one speaking such that the display can display the imagery of the loved and the plurality of speakers can emit the audio of the loved one speaking. A pole is pivotally mounted to the multimedia unit and the pole can be driven into the ground adjacent to a tombstone of the loved one thereby facilitating the multimedia unit to be visible to visitors of the tombstone such that the visitors can view the imagery of the loved one and hear the audio of the loved one speaking.

An endpoint protection system is provided. The system comprises: an endpoint agent deployed to an endpoint device, wherein the endpoint agent is built-into one or more existing applications running on the endpoint device and is configured to capture network session activity between the endpoint device and one or more internet servers to detect a phishing attack using a set of machine learning algorithm trained classifiers, and block the phishing attack; and an endpoint management system in remote communication with the endpoint agent, wherein the endpoint management system is configured to train and develop the set of classifiers, and receive information about the detected phishing attack and an incident report from the endpoint agent, the endpoint agent provides a graphical user interface running on the endpoint device allowing an end user to configure one or more protections provided by the endpoint agent.

The invention discloses anesthesia recovery auxiliary equipment and an auxiliary monitoring method, and relates to the related field of anesthesia recovery monitoring, and the equipment is characterized in that a physiological parameter acquisition module carries out sensing monitoring on a patient through a non-invasive sensor, and outputs a physiological monitoring signal set; a pharmacokinetic model is embedded in the metabolism analysis module, and the metabolism analysis module is used for performing metabolism dynamic change analysis on the patient to obtain predicted waking duration; the state recovery evaluation module is used for evaluating the physiological monitoring signal set and outputting a state recovery index; the auxiliary reminding module is used for judging and generating an auxiliary reminding signal if the preset recovery index is not reached in the predicted waking duration; the remote communication module is used for transmitting the auxiliary reminding signal to the cloud platform, and the cloud platform carries out reminding. The technical problems that existing anesthesia recovery auxiliary monitoring is not accurate enough and the reaction speed is poor are solved, and the technical effect of improving anesthesia recovery monitoring accuracy and the reaction speed is achieved.

The utility model discloses a portable positioning beacon device, and relates to the technical field of positioning beacons. The device comprises a Bluetooth module, a Beidou positioning module, a Beidou antenna, a LoRa module, a LoRa antenna, an SOS button, an LED indicating lamp, a buzzer, an on-off button, an on-off control circuit, a power switching circuit, a lithium battery charging circuit, a charging and discharging protection circuit, a linear power switching circuit, a first buck-boost circuit, a second buck-boost circuit, a solar cell panel and a charging interface. A temperature detection circuit, an electric quantity detection circuit and a lithium battery. The equipment is simple in circuit structure, is easy to realize light weight, has a long-distance communication capability, is lower in power consumption, has a charging function, and can meet the requirements of personnel position information sharing and communication in field operation and exploration processes.

The invention provides a control method and system for high-temperature protection of a hydraulic cylinder, and relates to the field of hydraulic cylinders, and the control method specifically comprises the steps that data are collected through temperature sensors arranged in a cylinder body, a piston rod, oil and the environment, and a three-dimensional temperature field model is constructed based on the Fourier heat conduction law; an oil temperature threshold value is set, a graded cooling mechanism is started when the threshold value is exceeded, and cooling heat is calculated according to a Newton cooling formula and a logarithmic average temperature difference method. Fuzzy PI D control is combined with a neural network prediction model, the cooling intensity is dynamically adjusted according to the temperature rising rate and the load state, and the high-temperature risk is pre-judged. The failure of the sensor is processed by a Kalman filtering algorithm, and the cooling system is automatically switched to a standby loop and alarms if the cooling system fails. The system comprises a temperature acquisition module, a control module, a cooling execution module, an alarm module and a remote communication module, and can solve the problems that an existing protection method is poor in passive cooling effect and unreasonable in timing cooling.

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.

Wideband simultaneous transmit and receive communications on overlapping frequency bands may be achieved by communicating via a communication device having a transmit signal path and a receive signal path. The transmit signal path and receive signal path are operable to transmit and receive simultaneously at the same frequency. A first remote communication device communicates over a first interference suppressed band using a first channel in the transmit signal path and receive signal path. A second remote communication device communicates over a second interference suppressed band using a second channel in the transmit signal path and receive signal path.

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 technical field of Internet of Things communication, in particular to an Internet of Things-based low-power-consumption remote communication method, which comprises the following steps of: acquiring data information of each Internet of Things node to form a communication behavior corresponding to each Internet of Things node; the method comprises the following steps: acquiring communication times and associated parameters of each communication behavior, and deriving a state label of each Internet of Things node according to a relative coverage range and a relative distance of each Internet of Things node; performing abnormal behavior analysis on the Internet of Things nodes in the different state labels based on the dormancy instruction received by each Internet of Things node, and evaluating the index deviation degree of each Internet of Things node under the abnormal communication behavior; generating a parameter processing sequence based on the index deviation degree of each Internet of Things node; and performing anomaly detection on the parameter processing sequence according to the number of abnormal nodes on each Internet of Things node during transmission, and adjusting the control strategy of each Internet of Things node according to the distribution difference of each abnormal node. And the reliability and efficiency of low-power-consumption remote communication are realized.

The utility model discloses an intelligent vacuum circuit breaker, which comprises an operating main shaft, an isolating switch shaft, a solid-sealed polar pole and a grounding switch, the operating main shaft and the isolating switch shaft are respectively driven to rotate by a circuit breaker electric operating mechanism and an isolating switch electric operating mechanism, and an insulating shell of the solid-sealed polar pole is provided with a current sensor and a voltage sensor. The operating main shaft drives a breaker moving contact and a breaker static contact to be in contact or separated through an insulating pull rod, the insulating pull rod is provided with a pressure sensor, the breaker static contact is connected with one end of an isolation switch disconnecting link, and an isolation switch shaft drives the other end of the isolation switch disconnecting link to be in contact or separated from an isolation static contact. The circuit breaker electric operating mechanism is provided with a remote communication antenna and a control module. The purpose of the utility model is to provide an intelligent vacuum circuit breaker, which enables a 35kV prefabricated substation to completely realize remote control, state measurement and health monitoring, improves the operation efficiency, and realizes remote control of the health state of equipment.

The invention belongs to the field of vehicle remote communication, and discloses an intelligent cabin area controller log remote acquisition system and method, and the system comprises a remote application interface which is used for obtaining a man-machine interaction interface for logs; the TSP remote service platform is used for managing the log pulling instruction network interface, the log uploading network interface and the storage of the uploaded logs; the intelligent cockpit domain controller CDC and the large screen are used for internally recording and storing system and application running logs of all modules running in the latest time period; and the 4G module is used for establishing mobile communication with the outside. According to the invention, the vehicle machine, voice, navigation, instrument and bus logs of the intelligent cockpit domain controller can be obtained under the condition of being far away from the vehicle, and development and test personnel are helped to analyze the intelligent cockpit problem. When a use problem occurs in the vehicle intelligent cockpit domain, the method can select different modes to obtain the intelligent cockpit domain controller log according to an actual scene, so as to help development and test personnel to remotely check the problem.