1303 results about "Ring network" patented technology

The invention discloses a ring main unit monitoring method and system based on the Internet of Things, and the method comprises the steps: building a multi-source data collection network of a ring main unit, extracting the multi-dimensional time-frequency domain features of a signal through an edge computing device, generating a multi-source feature data set, and constructing a dynamic digital twinborn model, real-time mapping of the running state of the ring main unit is achieved through a physical-virtual synchronization algorithm, and twin data volumes are output; according to the node influence coefficient of the twin data volume, analyzing a topological structure of a ring network system by adopting a graph neural network, identifying a key fault propagation path and generating a priority monitoring node list; based on the priority monitoring node list and the twin data volume, dynamically generating an adaptive monitoring strategy through a reinforcement learning algorithm, executing the adaptive monitoring strategy and collecting feedback data in real time, and completing closed-loop iteration of the monitoring strategy through an online learning algorithm; through closed-loop control of multi-source perception-digital twinning-intelligent decision, high efficiency, intelligence and reliability of ring main unit monitoring are realized.

The invention discloses a primary and secondary fusion complete ring main unit fault diagnosis method, and particularly relates to the technical field of power distribution fault diagnosis, and the method comprises the steps: collecting multi-path original data, carrying out the frequency domain and time domain combined calibration, carrying out the comprehensive evaluation according to two preset discrimination factors, namely, a data stability deviation amplitude and a multi-path waveform time deviation degree, and obtaining a fault diagnosis result. Two types of feature data sets are constructed subsequently, input data of two interference modeling networks are calculated respectively, then the interference modeling networks are input to output interference grade values, sampling precision dynamic adjustment and fault recognition strategy switching operation are executed according to the interference influence grade values, and diagnosis accuracy and stability in a complex interference environment are improved. According to the method, unified normalization processing of multi-path sensing data is realized, and the sensing accuracy of fault features is improved; through double-factor triggering and feature fusion evaluation, the stability of interference identification is enhanced; and sampling adjustment and strategy switching are executed based on the interference level value, so that the robustness and reliability of diagnosis are improved.

The invention relates to the field of ring main units, in particular to an event-driven intelligent ring main unit and a control method, and the event-driven intelligent ring main unit comprises a cabinet body, a cabinet body built-in circuit breaker, an isolation grounding switch and a fusion sensing array. An array synchronously acquires mechanical and electrical quantities, an edge decision-making system takes a voltage zero crossing point as an absolute time mark nanosecond alignment event, a closed-loop control core generates a protection and topology reconstruction instruction in situ according to the event, and primary equipment is driven in a millisecond level; the intelligent communication interface dynamically schedules bandwidth according to the data priority, and key instructions are ensured to be issued in real time. According to the invention, the problems of fault misjudgment and local control delay caused by lack of a unified time sequence reference in a mechanical state and an electrical transient state of a traditional ring main unit are solved.

The invention relates to the technical field of intelligent ship control, in particular to an intelligent ship moving control method and system based on a self-adaptive algorithm. The method comprises the following steps: acquiring hardware equipment data required by ship movement control; configuring a network topology structure of a computer network system, winch equipment and an encoder according to hardware equipment data, and constructing an electrical ring network; carrying out initialization setting and communication test on the electrical ring network, and establishing a data sharing mechanism between devices to obtain system initial configuration data; collecting the winding and unwinding length and tension parameters of a steel wire rope through a sensor of winch equipment based on initial configuration data of the system, and constructing a real-time monitoring model of the position and posture of the ship; and performing ship state monitoring by using the real-time monitoring model to generate ship real-time state data. According to the invention, the electrical ring network with a redundant backup mechanism is adopted, the communication real-time performance and reliability of the system are improved, and the stability of control signal transmission is ensured.

The invention discloses a power transmission line fault diagnosis and operation and maintenance scheduling method and system based on networking learning, and relates to the technical field of power transmission line fault diagnosis operation and maintenance scheduling. Related data is extracted to construct a high-risk equipment area and a visual high-risk area thermodynamic diagram, a visual risk grading diagram is constructed in combination with electrical quantity data, and meanwhile, an intelligent recognition storage network and a fault type classification recognition model are constructed in combination with a convolutional neural network-long and short-term memory network hybrid model; the model is optimized through networking learning and an attention mechanism, maintenance teams and resources are autonomously allocated in combination with an operation and maintenance management system, then autonomous optimization and closed-loop operation are achieved, full-process coverage of fault sensing, intelligent decision making and efficient response is achieved, the response time after a line fault occurs is remarkably shortened, and the maintenance efficiency is improved. And the fault handling and operation maintenance capabilities of the power grid system are comprehensively enhanced.

The invention discloses a switch loop data extraction method, device and equipment based on phase locking, and the method comprises the steps: carrying out the interval change analysis of operation data in a ring main unit, and recognizing a communication abnormal node through a phase locking technology; associating a mechanical vibration source based on the communication abnormal nodes, detecting a vibration conduction path, extracting current fluctuation characteristics, and determining position deviation; the operation current intensity is adjusted in combination with fluctuation characteristic parameters, and accurate off-position control is achieved through reverse braking force; constructing a dynamic threshold reference based on frequency domain analysis, and generating a complete operation record according to the dynamic threshold reference and the accurate parking data; performing typed grouping and transmission optimization on the data, and controlling data switching by adopting a gradually migrated beat sequence; and finally, through signal reconstruction and data fusion technologies, a switch loop data set with continuous time sequence and complete space is generated. The method can effectively cope with communication interference, mechanical vibration and other complex environmental factors, and improves the integrity and accuracy of data acquisition.

The invention relates to the technical field of hydropower engineering, and discloses a single-core self-healing type looped network networking method and system, and the method comprises the steps: dividing a whole network into a plurality of sub looped networks; each sub-ring network operates independently; the light switch in each sub-ring network adopts an A / B end connection mode; reversely connecting the B end of the last measuring point to the A end of the initial measuring station by using an optical fiber to form a closed physical structure; configuring a protocol on the switch, and controlling a data flow path through the protocol; different sub-ring networks are connected through RJ45 ports, and a CAT5E shielded twisted pair or an Ethernet interface is used; when a certain node or link fails, the protocol automatically triggers a switching mechanism; the master station optical transceiver monitors the states of all nodes in real time and displays fault points through a network management interface. The system comprises a sub-ring network module, a control data flow module and a fault point display module. The problems that a traditional networking method of hydropower engineering is poor in reliability, and self-healing cannot be achieved after an intermediate node is disconnected are successfully solved.

The invention relates to the technical field of coal mine fully mechanized mining, in particular to a coal mine communication network system based on a time-sensitive network, and the system comprises a wired communication system, the backbone network of the wired communication system is composed of a plurality of TSN network switches which are in ring network topology connection, and the wired communication system is used for accessing coal mine equipment as a terminal to a TSN network; the wireless communication system is connected with the wired communication system, consists of wireless communication equipment compatible with a TSN protocol, and is used for accessing the coal mine equipment into a TSN network through wireless connection; a communication system based on a time sensitive network (TSN) is established, a real-time, determined and reliable communication network is provided for a coal mine production system, wired and wireless communication systems are adopted, the whole coal mine production control system is covered together, and the requirement of automatic control for data communication is met.

The invention relates to the technical field of power system communication, and discloses a fault diagnosis method and system for a substation communication network, and the method comprises the steps: obtaining multi-band signal data, and carrying out the fast Fourier transform to obtain spectrum distribution data; according to the spectrum distribution data, performing frequency band division to obtain an initial power ratio; performing adaptive filtering according to the initial power ratio and the multi-band signal data to obtain a fundamental wave amplitude fluctuation characteristic; performing wavelet decomposition according to the fundamental wave amplitude fluctuation characteristics to obtain abnormal signal time-frequency energy distribution; performing K-means clustering division according to the abnormal signal time-frequency energy distribution, and matching a harmonic fault database to obtain a fault type identifier; and according to the fault type identifier and the abnormal signal time-frequency energy distribution, ring network topology propagation time delay analysis is carried out, a fault position coordinate is positioned, and a fault diagnosis report is generated. According to the method, the network fault can be accurately diagnosed for multi-band complex signal interference.

The present invention discloses an intelligent monitoring and early warning method and device for a ring main unit, and relates to the technical field related to ring main unit monitoring. The method comprises: setting a data acquisition module on a target ring main unit, and acquiring the working status data stream of the ring main unit through the data acquisition module in real time monitoring; wirelessly transmitting the working status data stream of the ring main unit to an analysis and processing module for feature extraction and processing, and obtaining the working feature set of the ring main unit; constructing a fault identification model for the ring main unit, and obtaining fault diagnosis information of the ring main unit; obtaining fault location information of the ring main unit; and performing early warning and operation management on the target ring main unit based on the fault diagnosis information of the ring main unit and the fault location information of the ring main unit. The method solves the technical problems existing in the prior art of inaccurate fault diagnosis and positioning of the ring main unit, and difficulty in real-time monitoring and accurate early warning, and realizes accurate fault identification, real-time diagnosis and rapid positioning, and achieves the technical effect of improving the operation and maintenance management efficiency of the ring main unit and the stability of the power equipment.

The invention provides a coal mine multi-disaster intelligent sensing early warning and linkage emergency system, and relates to the technical field of coal mine safety, multi-source data collected by a hollow probe sensor group is uploaded to an edge gateway through an industrial ring network for primary processing, and the multi-source data after primary processing by the edge gateway is uploaded to a data layer through the industrial ring network; the processed multi-source data is classified by a time sequence database and a space database of the data layer, the classified multi-source data is analyzed by the analysis layer, and an analysis result of the analysis layer is uploaded to the early warning layer. According to the invention, three-in-one monitoring of deep part-surface-environment is realized through the hollow probe sensor group, and real-time and reliable data is guaranteed by combining edge calculation and dual-channel redundancy transmission; and the space-time database and the disaster chain rule base support analysis layer are fused with long and short-term memory network time sequence modeling and graph convolutional network space correlation and dynamic coupling correction to realize accurate quantification of the composite disaster probability.

The invention provides a rail transit power supply digital twin system and a construction method, and relates to the technical field of data processing, and the method comprises the steps: constructing an urban rail transit power supply system digital twin model, achieving the digital virtualization associated with a physical entity, completing the model rendering, and displaying the state of the entity through a virtual model; according to the entity state, operating parameters of a substation and key equipment of a contact network are collected through a sensor and a hardware device; the operation parameters are cached by the station-level monitoring device body through the double-ring network architecture and then scheduled to a cloud platform communication ring network node, a data transmission path is optimized based on a load balancing strategy, and the data are uploaded to a cloud platform in real time. The management level can be improved, the operation and maintenance cost can be reduced, and a foundation is laid for intelligent operation and maintenance of a rail transit power supply system.

The invention relates to the technical field of fault prediction and health management, in particular to a primary and secondary fusion complete ring main unit fault diagnosis method and system. Comprising the following steps: acquiring three-phase instantaneous voltage and current signals in real time, and converting the signals into digital transient data; performing time window preprocessing on the digital transient data, and executing wavelet packet decomposition to generate a transient feature vector; calculating and analyzing the transient feature vector through a transient zero-sequence power direction method and a support vector machine model to generate a local diagnosis result; when the local diagnosis result is that cooperative positioning needs to be started, a transient current similarity coefficient and a transient waveform intensity difference coefficient are calculated based on the digital transient data, and a comprehensive positioning result is generated; determining a fault line according to the comprehensive positioning result, and generating a remote control command; and executing a fault isolation operation based on the remote control command, and executing a PHM process. According to the method, the double local transient diagnosis and the cross-terminal cooperative positioning are deeply fused, so that the high-precision determination of the boundary of the fault section is realized.

The invention relates to a self-adaptive cooperative control system and method for a sodium-ion battery energy storage system, and relates to the technical field of energy storage system control. An EMS-BMS-PCS cooperative control module is customized, a three-level architecture dynamically adjusts a voltage threshold value, and the SOC is corrected; the multi-stage active safety protection module comprises battery cell monitoring, fault battery cell ejection, modular battery replacement and three-stage fusing protection; the power grid response module PCS performs high-frequency sampling and supports grid-connected and off-grid switching and AGC / AVC service; the intelligent collaborative optimization engine integrates data to generate a charging and discharging strategy, and early warning is performed 14 days in advance for predictive maintenance; the layered distributed control module is used for realizing battery cell-to-system level management; and the double-ring network communication redundancy module ensures real-time transmission of instructions. According to the invention, the DoD and capacity utilization rate of the sodium-ion battery is improved, and the system economy is enhanced; heat spreading is blocked through multi-stage protection, the maintenance time is shortened, and the safety is improved; millisecond-level response meets the high-order demand of a power grid, predictive maintenance reduces the operation and maintenance cost, and the method is suitable for multiple energy storage scenes.

The invention discloses a primary and secondary fusion ring main unit with an anti-condensation function, and relates to the technical field of outdoor ring main units, the primary and secondary fusion ring main unit comprises a ring main unit body, the left side of the ring main unit body is provided with a protective net, the inner side of the protective net is provided with a heat dissipation assembly and a dust removal assembly which are fixedly connected with the ring main unit body, and the rear side of the heat dissipation assembly is provided with a dehumidifier; the right side of the ring main unit body is provided with an air outlet, the rear side of the ring main unit body is provided with a drainage hole, the heat dissipation assembly comprises a fixed plate A, the front of the fixed plate A is rotatably connected with four fan blades, the four fan blades are divided into two groups, and the two groups of fixed plates A are distributed left and right, the dust removal assembly comprises a fixed plate B, and the fixed plate B is fixedly provided with a fixed plate. And baffle plates are arranged on the left and right sides of the fixed plate B. The interior of the ring main unit body is dehumidified through the dehumidifier, and when a relatively large temperature difference occurs between the interior and the exterior of the ring main unit body, the phenomenon that the interior of the ring main unit body is condensed and flashover and creepage accidents occur in the ring main unit body is prevented.

The invention relates to the technical field of power distribution automation auxiliary power supply control, and discloses an intelligent power distribution circuit system for a digital ring main unit, which comprises a transient voltage gradient induction bridge circuit, a hardware signal processing circuit, a power switch unit and a controlled energy release unit, according to the system, a transient voltage gradient induction bridge circuit is used for collecting a primary side bus voltage change rate signal, a hardware signal processing circuit carries out derivation operation on an induction signal and compares the induction signal with a voltage gradient threshold value, and a power switch unit is blocked at the moment that the voltage abnormally drops so as to cut off a load current path. According to the invention, a hardware parameter direct mapping mechanism is utilized to realize microsecond transient protection response, and the physical decoupling of protection logic and digital software is realized by balancing bus potential pulse caused by sudden unloading of a load through the inherent dehumidification resistor in the multiplexing cabinet.

The present application relates to the field of intelligent manufacturing technology, and discloses an intelligent ring network cabinet automatic production control system and production control method. The system includes: a data acquisition and preprocessing module, which is used to collect equipment status, task progress, and material supply data in the production process in real time, and preprocess the data; a multi-stage recursive optimization scheduling module, which is used to generate production scheduling decisions based on preprocessed data, and recursively optimize at each production stage to minimize the total production time and maximize production efficiency; the method includes: real-time collection of production equipment status, task progress, and material supply information, and preprocessing the collected data. The present invention adopts a real-time data acquisition and preprocessing technical solution based on Internet of Things devices, sensors, and production management software, achieving the technical effect of real-time and accurate collection of key data such as equipment status, task progress, and material supply in the production process.

The invention provides a full-period operation data monitoring method and system applied to an intelligent ring main unit, and the method comprises the steps: collecting multi-mode operation data in a full period in real time through operation data collection nodes disposed at all electrical nodes of the intelligent ring main unit; based on a preset time sequence feature extraction rule, performing segmentation alignment processing on the multi-mode operation data, and generating a full-period state parameter corresponding to each electrical node; training an operation monitoring model matched with the intelligent ring main unit according to the full-period state parameters; performing layer-by-layer analysis on the multi-modal operation data acquired in real time through the operation monitoring model, and generating a health degree score and an abnormal confidence interval corresponding to the current operation stage; and triggering an early warning signal or a model updating instruction matched with a preset threshold value, and dynamically adjusting the network parameters of the operation monitoring model. According to the method, multi-modal dynamic characteristics can be deeply fused, model parameters are optimized in real time, and a full-period monitoring system with effective feedback is formed.

The sulfur hexafluoride insulation ring main unit comprises a ring main unit power distribution platform, a ring main unit information base, a ring main unit working condition unit, a power distribution interference unit, a ring network distribution unit, a power regulation and control unit and a power distribution management unit. According to the method, power distribution stability performance analysis is carried out from two points of working characteristics and working parameters of the target ring main unit, and analysis is carried out in combination with the sulfur hexafluoride gas interference degree of the target ring main unit, so that the working stability and continuity of the target ring main unit are improved; ring network distribution working performance risk analysis is carried out on the working condition information of the target ring main unit in an information feedback mode, so that the safety and reliability of the power distribution performance of the target ring main unit are improved, and electric power adjustment demand evaluation analysis is carried out on the electric energy management data. Therefore, the load distribution scheme of the target ring main unit is adjusted according to the information feedback condition, and the reasonable distribution of power resources and the operation efficiency of a power grid are improved.

The invention discloses a primary and secondary fusion ring main unit fault rapid isolation method and system, and relates to the technical field of power distribution network automation. The method comprises the following steps: acquiring topological characteristics of each node of the ring main unit and performing validity verification to generate an effective topological fingerprint; constructing a dynamic time sequence fault tree model based on the topological fingerprints, and obtaining a minimum cut set with time sequence constraints through space-time decoupling; based on the minimum cut set, a fault isolation strategy is generated through reinforcement learning, and safety verification is carried out; and based on the isolation strategy passing the verification, pre-judging a future topology state through topology deduction and generating a trigger signal. Through dynamic topological feature extraction and verification, reliable basic data is provided for the primary and secondary fusion ring main unit, and the adaptive capacity of the primary and secondary fusion ring main unit in a topological change scene is enhanced; by means of dynamic time sequence fault tree modeling, the fault evolution law is accurately captured, the limitation of a traditional static model is broken through, and the accuracy of fault positioning is improved.

The invention relates to the technical field of machine learning, in particular to a model fusion method and device based on a topological structure and computer equipment. The method comprises the steps that a topological structure is constructed, to-be-fused objects deployed in each node in the topological structure are determined, and the topological structure comprises a plurality of nodes; according to a model fusion algorithm, merging and iterating the to-be-fused objects deployed by a plurality of nodes within a preset node range in the topological structure to obtain a local fusion model after each merging and iteration of all the nodes in the topological structure; and when the coefficients of all the local fusion models after multiple times of merging iteration of all the nodes are consistent, determining that the local fusion models corresponding to all the nodes are merged to obtain a plurality of multi-task models in the topological structure. According to the scheme, local fusion of each device and the adjacent device is realized by constructing the annular topological structure, the constant storage peak value is ensured, the storage demand is reduced, the storage efficiency is improved, and the efficiency of the model fusion process and the convergence of the final model are ensured.

This invention provides a method, apparatus, electronic device, and readable storage medium for redundancy control in ring network communication, relating to the field of vehicle-mounted communication. The method includes: controlling nodes in the vehicle-mounted ring network system to detect abnormal Ethernet link states and broadcast these states via CAN communication; a master control node can determine whether to switch redundant links based on the relevant link abnormal states of each node; if switching is required, a switching control message is broadcast via CAN communication; and each node can adjust its port settings based on the switching control message. By implementing Ethernet link detection and redundant link switching control based on Ethernet communication itself, and by integrating the functions of determining whether to switch links based on abnormal link states and broadcasting switching control messages into the master control node, the requirements for nodes other than the master control node are reduced. This lowers the hardware resource requirements of the vehicle-mounted ring network communication redundancy control scheme compared to existing solutions, making it simpler, easier to implement, and more usable.

The invention relates to the technical field of power load monitoring, in particular to a ring main unit with an overload fault monitoring and circuit breaking function. Obtaining a load filtering time sequence according to the instantaneous fluctuation characteristics of the load time sequence; constructing a load feature vector according to the load filtering time sequence; constructing a temperature feature vector according to the temperature time sequence; obtaining a temperature difference degree and a date cluster according to the temperature feature vector; obtaining a load difference degree according to the load feature vector; constructing a difference scatter diagram and a load difference prediction model according to the temperature difference degree and the load difference degree corresponding to the date cluster; and obtaining a difference degree weight according to the scattered point distribution characteristics and training a load difference prediction model. Obtaining a load prediction difference degree according to the temperature feature vector of the preset current time period; obtaining a deviation index according to the load prediction difference degree, the actual load difference degree and the model prediction error characteristics; and the load state is monitored according to the change characteristics of the deviation index, so that the load monitoring accuracy is improved.

The invention discloses a gas leakage monitoring system for an environment-friendly ring main unit, and belongs to the technical field of environment-friendly ring main unit monitoring. The system comprises a real-time acquisition looped network supervision platform, and a joint data real-time acquisition and storage module, an external environment gas dynamic analysis module, an internal environment gas risk analysis module and an emergency regulation and control decision processing module which are in communication connection with the real-time acquisition looped network supervision platform; multi-source data fusion monitoring of internal and external environments of the ring main unit is realized through the joint data real-time acquisition and storage module, the one-sidedness problem of single parameter monitoring is solved, and the leakage risk identification accuracy is improved; second-level data processing and grading risk early warning are realized by means of a real-time algorithm, and the fault response time is shortened; a grading emergency response mechanism is established based on the comprehensive risk index, different risks are precisely handled, and the operation and maintenance cost is reduced while the equipment safety is guaranteed.

The invention discloses a mining-while-digging earthquake advanced detection system based on distributed optical fiber acoustic sensing. Relates to the technical field of seismic exploration. On the basis of a distributed optical fiber acoustic sensing technology, mining-while-digging seismic detection of a working face is realized by utilizing vibration generated by cutting a coal rock stratum by mining machinery. In the production process, the detector collects vibration data of mining machinery and transmits the vibration data to the server through a network; optical cables are arranged on two sides of a coal face upper and lower crossheading or two sides of a driving face roadway; the demodulator emits pulse laser and transmits the pulse laser to the working face optical cable through the industrial looped network or the independent fiber core, vibration of measuring points at equal intervals of the optical cable is measured, and a measuring data packet is returned to the demodulator through the industrial looped network or the independent fiber core; the demodulator demodulates vibration waveform data and uploads the vibration waveform data to the server; server data processing software carries out noise reduction processing on the waveform, then stores and images the waveform, carries out real-time intelligent interpretation, and realizes detection of a geological structure and an abnormal area in front of a working face.

The invention provides a space carrier intelligent bus GLINK interface bridging design method based on a domestic FPGA, belongs to the field of FPGA application, can provide two paths of GLINK data transmission channels and two paths of GLINK data relay / forwarding channel high-speed interfaces at the same time by utilizing FPGA chip resources and combining with a GLINK chip, and can meet the requirements of switching networking and annular networking at the same time. An external memory access interface (EMIF) of a GLINK chip is configured for an international standardized PCIe protocol, and meanwhile, an FIFO synchronous read-write interface in a DMA mode is adopted, so that the communication safety is guaranteed, malicious attacks and accidental interruption are prevented, the communication reliability is improved, and the communication transmission rate is increased.

The invention provides a method for tracing a multi-power-source power supply path in a power system, and the method comprises the steps: obtaining topological data of a power transmission line network diagram, a transformer substation primary wiring diagram, a distribution network looped network diagram and a user low-voltage side wiring diagram in a specified power network, and carrying out the multi-source heterogeneous fusion, so as to construct an integrated transmission, transformation and distribution network topology, corresponding switch state data and mobile power supply equipment operation data are configured in the transmission, transformation and distribution integrated network topology so as to obtain a digital power grid operation model; constructing a node admittance matrix by taking each piece of equipment as a node based on a topological relation between lines in the digital power grid operation model so as to determine lines belonging to a loop, a branch and a cut set in the digital power grid operation model; and determining a multi-power-supply power supply path according to the circuits of the loop, the branches and the cut set in combination with the switch state information and the mobile power supply equipment operation information. According to the invention, the transmission, transformation and distribution integrated network can be comprehensively covered, and the problems of low efficiency, high use cost and the like can be solved.

The invention relates to the technical field of ring main units, and provides a self-adaptive protection device for a ring main unit, which comprises a cabinet body, a gas tank mounted on the back of the cabinet body and filled with environment-friendly insulating gas, and a pressure relief pipe with one end communicated with the top of the gas tank and used for pressure relief of the gas tank, the top of the gas tank is provided with a pressure relief regulation and control assembly, and the top of the pressure relief regulation and control assembly is provided with a dustproof assembly. The pressure relief regulation and control assembly comprises a funnel-shaped main speed discharging barrel arranged at the top of the air box and a butt joint sleeve for connecting the main speed discharging barrel with the pressure relief pipe in a sealed mode. During use, the main pressure relief channel and the branch slow-heating pressure relief channels are utilized and respond to instantaneous high-pressure impact and continuous hot pressing respectively, so that deformation and damage of the gas tank caused by instantaneous arcing overpressure are effectively prevented, and the potential safety hazard that pressure accumulation caused by abnormal slow temperature rise cannot be released in time is eliminated; and self-adaptive protection of the ring main unit gas tank is realized.

The invention relates to an online monitoring system and method for underground coal mine dustproof equipment, and belongs to the technical field of mine dust removal. The system comprises a dustproof equipment on-line monitoring platform, an underground coal mine industry ring network, a switch, a dustproof equipment monitoring substation, a dust concentration sensor, a fully-mechanized face dust source tracking and dust falling system, a fully-mechanized face intelligent dust removing system and a roadway automatic watering and dust falling system. Data, operation parameters and dust concentration of each piece of dustproof equipment are monitored in real time, and comprehensive detection is realized; operation parameters of dustproof equipment are automatically calculated and adjusted, and the dust falling efficiency is improved; the automatic watering and dust falling system for the fully-mechanized face, the fully-mechanized excavation face and the roadway can intelligently control dust removal according to environmental parameters, and manual intervention is reduced; the dust concentration is reduced, the dust accident risk is reduced, and the mine safety production level is improved; the intelligent management of the dustproof equipment is realized; the problems that current underground coal mine dustproof equipment is less in monitoring information, weak in intelligent regulation and control capability and lagged in supervision are solved.

The invention relates to the technical field of power grid safety guarantee, and particularly discloses a standardized ring main unit intelligent safety protection and early warning system, which comprises a data acquisition layer, a central processing layer and an execution control layer, and is characterized in that the data acquisition layer is responsible for real-time acquisition of operating parameters of a ring main unit; the central processing layer comprises a data preprocessing sub-module, a risk assessment sub-module and a decision optimization sub-module, and realizes data cleaning, feature extraction, risk assessment and strategy generation. Through hierarchical design, efficient and accurate ring main unit state monitoring and fault prevention and control are realized. The data acquisition layer comprehensively acquires electrical, insulating and state parameters in real time by means of various sensors, and provides an accurate and rich data basis for the system; and a data preprocessing, risk assessment and decision optimization sub-module of the central processing layer performs deep processing on the acquired data, realizes a complete process from data cleaning, feature extraction to risk assessment and strategy generation, and ensures that the risk judgment is accurate and the strategy is reasonable.