1224 results about "Remote communication" patented technology

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.

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 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 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.

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 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 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 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 invention discloses a remote warning and monitoring system and method for an insulin pump, and relates to the technical field of medical equipment monitoring, and the system comprises a data collection module which is used for obtaining multi-modal physiological and equipment data from user side equipment in real time; the risk assessment engine is used for performing fusion analysis based on the multi-modal physiological and equipment data to generate a comprehensive risk assessment result; the dynamic early warning module is used for dynamically triggering warning information of different risk levels according to the comprehensive risk assessment result; the remote communication module is used for simultaneously pushing the warning information to at least one remote monitoring terminal and user side equipment; and the remote intervention interface is integrated on the remote monitoring terminal and is used for receiving and displaying the warning information and enabling a remote guardian to initiate at least one intervention instruction. Alarm omission caused by the fact that a patient is alone or the response ability is limited is effectively avoided; the accuracy and reliability of risk assessment are improved, and false alarms are reduced; the risk response time is shortened, and the safety of patients is guaranteed.

The invention relates to an embedded multi-interface communication system and method based on an optical fiber Ethernet, and the system employs the optical fiber Ethernet to replace a conventional bus, enables a main control module to be connected with each interface module through a plurality of groups of one-to-one optical fiber Ethernet arrays, and can achieve the long-distance communication between various interface modules and the main control module. Meanwhile, the same core board can be carried on the main control module and each interface module in the embedded communication system to realize a universal function, and difference parts such as interface expansion and the like are realized on the carrier board, so that the interchangeability of the core boards among different board cards can be realized, and the embedded communication system has better expandability and flexibility. In addition, a communication method between the main control module and each interface module is constructed according to the communication system, and protocol conversion and software processing between different interface data can be realized.

The invention relates to the technical field of switch cabinets, in particular to an intelligent photovoltaic grid-connected cabinet with fireproof and remote communication monitoring functions, which comprises a photovoltaic grid-connected cabinet main body, a starting end box is fixedly connected to the outer wall of the photovoltaic grid-connected cabinet main body, and an electric telescopic rod is fixedly mounted on the inner wall of the starting end box. And the output end of the electric telescopic rod is fixedly connected with a first sliding block, the outer wall of the first sliding block is fixedly connected with a guide rod, and the outer wall of the guide rod is slidably connected with a second sliding block. The brushes between the adjacent first bus bridge branch connecting plates make reciprocating motion left and right after abutting against the ends, the brushes are promoted to extrude the outer walls of the first bus bridge branch connecting plates on the two sides left and right, and bristles of the brushes can be attached to the outer walls of the first bus bridge branch connecting plates to be extruded, deformed and brushed; and the dust on the outer wall of the first bus bridge branch connecting plate is cleaned.

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 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 relates to the technical field of distribution line state detection, in particular to a detection system for intelligently analyzing the state of a distribution line, which comprises a thermal imaging detection module, a current monitoring module, an identification module, a video monitoring module, a photographing recording module, a watermark adding module, a data analysis report module and a remote communication control module. The thermal imaging detection module is used for infrared acquisition and image processing; the current monitoring module is used for Rogowski coil detection and data analysis and transmission; the identification module is used for fault feature extraction and fault diagnosis. The detection system for intelligently analyzing the state of the distribution line has the advantages of real-time monitoring, automatic processing, intelligent diagnosis, remote monitoring and control, video monitoring and photographing recording, watermark adding, report generation and the like, the efficiency and accuracy of state detection of the distribution line can be remarkably improved, the operation and maintenance cost is reduced, and the system is suitable for popularization and application. And safe and stable operation of a power system is ensured.

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.