500 results about "Loop network" patented technology

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 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 coal mining equipment, and discloses a mining roadway stability real-time monitoring and early warning system which comprises the following steps: S1, multi-source sensor network deployment, S2, data transmission and preprocessing, S3, stability index dynamic calculation, S4, fusion early warning model construction and S5, graded early warning triggering. Roadway surrounding rock deformation, stress, vibration and environmental parameters are collected in real time through a multi-source sensing network, efficient data transmission and preprocessing are achieved in combination with an industrial looped network, surrounding rock strain energy density, displacement convergence rate, support failure coefficient and other key indexes are dynamically calculated, a fusion early warning model is constructed based on machine learning, and the early warning accuracy is improved. According to the method, accurate evaluation of the stability level is achieved, grading alarm and emergency control are automatically triggered when a threshold value is reached, a'perception-analysis-decision-response 'closed loop is formed through the design, the real-time performance of roadway stability monitoring and the early warning reliability are remarkably improved, and accidents such as roof fall and wall caving are effectively prevented.

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 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.

A short-term scheduling rule extraction method for a water-optical complementary system comprises the following steps: correcting an existing business prediction result by adopting a probability prediction model based on historical observation data and business prediction data of runoff and optical power; generating multiple groups of future possible runoff and optical power scenes by adopting a data sampling method based on a commercial prediction result corrected by the probability prediction model in the step 1; constructing a water-light complementary peak regulation optimization scheduling model; 3, constructing a Bayesian gated loop network which can consider the commercial prediction result and the model parameter uncertainty, introducing a probability recalibration mechanism which can effectively relieve the uncertainty estimation deviation of the Bayesian gated loop network, taking the optimal scheduling solution set obtained in the step 3 as the basis, extracting a complementary system scheduling rule which considers the multiple uncertainties, and finally obtaining the optimal scheduling solution set. And the peak regulation scheduling of the water-light complementary system is guided by using a complementary system scheduling rule. The comprehensive benefits of the multi-energy complementary system can be improved.

The invention relates to the field of power system carbon emission flow analysis, in particular to a closed-loop power grid-oriented electric energy tracking and power flow tracing coupled carbon emission flow analysis method, which is based on power flow distribution of an actual power grid and comprehensively utilizes an electric energy tracking method and a power flow tracing method. According to the invention, fine allocation and full-link physical traceability of nodes, branches and loads in a closed-loop power grid structure by carbon emission are realized. By establishing a power flow distribution matrix, a unit injection matrix, a load distribution matrix and a carbon emission intensity vector, the carbon potential of each node, the branch carbon flow rate and the load carbon flow rate are calculated in a recursive manner, an electric energy tracking method and power flow traceability are coupled, and node allocation is iteratively optimized, so that the actual flow path and spatial distribution characteristics of the carbon flow in a power grid are disclosed. The method can adapt to scenes such as complex multi-source access and a looped network structure, the scientificity and fairness of closed-loop power grid carbon emission management are improved, and theoretical and method support is provided for development of low-carbon scheduling, carbon accounting and low-carbon economy.

The invention discloses a planning method and system for a high-reliability current collection system of an offshore floating type wind power plant, and the method comprises the steps: applying a looped network topology in the current collection system of the offshore floating type wind power plant to improve the operation reliability, and enabling the looped network topology to be an electrical connection mode that a plurality of fans are connected into a closed loop through cables; wherein the energy can flow bidirectionally, and performing two-stage dynamic planning for the current collection system: firstly executing dynamic site selection and topology planning of an offshore substation, then executing optimization and topology planning of substations by fans, and outputting the optimal substation position, fan distribution set and wind power plant planning total cost. The method aims at rapidly achieving dynamic multi-target planning of the offshore floating type wind power plant so as to ensure the operation reliability of the offshore floating type wind power plant and the economical efficiency of the whole life cycle cost, precise optimization of substation site selection is achieved, and the optimal configuration of the membership relation of fans and substations is ensured.

The invention provides a cooling system, a control method of the cooling system and a data center, and relates to the technical field of server heat dissipation. The cooling system comprises at least one liquid cooling subsystem and at least one air cooling subsystem, the liquid cooling subsystem is connected with a first interface end of the cold source system looped network, the air cooling subsystem is connected with a second interface end of the cold source system looped network, a third interface end of the cold source system looped network is connected with the cold source system, the first interface end is provided with a first electric valve, and the second interface end is provided with a second electric valve. The first interface end is provided with a first electrically operated valve, the second interface end is provided with a second electrically operated valve, the first electrically operated valve is configured to obtain current flow data of the liquid cooling subsystem and adjust the opening degree of the first interface end according to the current flow data of the liquid cooling subsystem, and the second electrically operated valve is configured to obtain current flow data of the air cooling subsystem and adjust the opening degree of the first interface end according to the current flow data of the air cooling subsystem. And the opening degree of the second interface end is adjusted according to the current flow data of the air cooling subsystem. The problems that an existing cooling system is complex in structure, high in water resource consumption and poor in control precision are solved.

Provided are a method and apparatus for transmitting data, relating to the technical field of communications. The method comprises: a first node sends a fault detection sequence to a second node, the sequence comprising a plurality of spaced apart pieces of fault detection information. The first node receives fault notification information sent by the second node, the fault notification information being determined by the second node on the basis of the number of pieces of fault detection information received within a preset window. The first node sends a first buffered packet and a second user packet on the basis of a switching path, the first buffered packet being obtained by buffering a first user packet sent to the second node within the preset window, and the packet sequence number of the second user packet being greater than the packet sequence number of the first user packet. In this way, since the first node sends the buffered packet within the preset window to the second node on the basis of a switching path, the first user packet sent by the first node to the second node within a preset window in which a link fault has occurred can reach the second node, thereby resolving the problem of packet loss in ring network switching technology.

The invention relates to the technical field of coal mine dynamic mine pressure monitoring and intelligent early warning and prediction, and particularly discloses a coal mine dynamic mine pressure monitoring and intelligent early warning and prediction system, which comprises a monitoring terminal layer, which comprises a plurality of mine pressure monitoring sensors, and the mine pressure monitoring sensors are respectively arranged in different monitoring areas of an underground coal mine. The mine pressure parameter acquisition module is used for acquiring mine pressure parameters of a corresponding area in real time, and the mine pressure parameters comprise roof subsidence, support working resistance, coal seam stress and surrounding rock deformation; and the data transmission layer is connected with the monitoring terminal layer and comprises an underground ring network switch and a ground industrial Ethernet. According to the dynamic mine pressure monitoring and intelligent early warning prediction system for the coal mine, the data reliability is ensured in combination with sensor state monitoring, the mine pressure trend in the next 24 hours is accurately predicted by adopting an improved LSTM neural network and an AWA-GC optimization algorithm, and the system adapts to nonlinear changes under complex geological conditions.

The invention belongs to the field of underground equipment monitoring, particularly relates to a coal mine underground equipment real-time monitoring method based on a red mine system, and aims to solve the technical problems of low information transmission speed and low accuracy of manual monitoring equipment. The method comprises the following steps: acquiring underground equipment information in real time through a sensor and an adaptive module of a red mine system; the Modbus TCP protocol data stream is uploaded and converted into a Modbus TCP protocol data stream; the data stream is transmitted to a centralized management and control platform through an underground looped network; on the gateway side, edge side preprocessing is carried out on the collected data stream; and the centralized management and control platform receives the processed data flow, carries out platform-level data cleaning and fusion processing, and carries out real-time state monitoring, health degree evaluation and fault early warning on the equipment. According to the invention, the centralized management and control platform is established by adopting the Hong mine system to monitor and manage the underground equipment in a unified manner, so that the intelligent level, the information transmission speed and the accuracy of a coal mine are improved, and real-time monitoring, fault early warning and maintenance management can be better carried out on the underground equipment.

The invention relates to the technical field of the intelligent power grid industry, in particular to a power distribution and utilization ring network fault intelligent troubleshooting method and system. According to the method, a looped network situation primitive is generated through multi-source heterogeneous data fusion. The primitives are input into synchronous compression transformation to extract transient fault initial features, and the transient fault initial features are mapped into fault propagation path features through a graph convolutional network considering topological structure constraints; then, inputting the features into a space-time correlation prediction model, integrating defect type judgment and trend pre-judgment features, and generating a fault diagnosis evidence set; and starting an investigation mechanism based on the evidence set to determine an interval to be investigated, and performing closed-loop verification by constructing a fusion judgment matrix based on multi-modal physical sensing information to realize physical space locking of a fault defect point. According to the method, deep learning diagnosis and multi-mode positioning are integrated, and the detection precision and the positioning efficiency of looped network defects and the identification capability of transient hidden faults are effectively improved.

The application discloses a power transmission line fault diagnosis and operation and maintenance scheduling method and system based on network learning, relates to the technical field of power transmission line fault diagnosis and operation and maintenance scheduling, and comprises the following steps: acquiring electrical quantity data, equipment operation state data, ring network topology and time sequence data and the like, extracting relevant data to construct a high-risk equipment area and a visual high-risk area heat map, combining the electrical quantity data to construct a visual risk classification map, combining a convolutional neural network-long short-term memory network hybrid model to construct an intelligent recognition storage network and a fault type classification recognition model, optimizing the model through network learning and an attention mechanism, combining an operation and maintenance management system to autonomously allocate a maintenance team and resources, and then realizing autonomous optimization and closed-loop operation, so that the application realizes full-process coverage from fault perception, intelligent decision and efficient response, significantly shortens the reaction time after line fault occurrence, and comprehensively enhances the fault disposal and operation and maintenance capability of the power grid system.

The invention relates to the technical field of network communication, in particular to a high-efficiency message routing method of an independent gateway controller, which comprises the following steps of: constructing a routing table by analyzing network topology in a mode of combining a dynamic routing protocol with static configuration, mapping and storing a target address and a forwarding path, and transmitting a message to the gateway controller; the method comprises the following steps of: analyzing a source protocol frame structure to extract effective load data, repackaging the data according to a target protocol specification, realizing link redundancy by adopting a ring network protocol, automatically switching a standby link and maintaining an equivalent path when a main link fails, and obtaining a flow trend and performance data by monitoring a network load and an equipment state in real time. And dynamically adjusting a routing strategy according to the data, and periodically generating a performance report to obtain a continuously optimized routing scheme. According to the method, the problems that the routing table query efficiency is low and the routing strategy cannot be dynamically optimized according to the real-time state of the network in the traditional method are solved.

The invention relates to the technical field of civil engineering structure safety monitoring and Internet of Things communication, in particular to a bridge and tunnel structure health monitoring system and a looped network fault self-healing communication method. The system comprises a sensing acquisition layer, a ring network communication layer and a monitoring application layer, wherein the sensing acquisition layer comprises a plurality of data acquisition nodes which are deployed at key parts of a bridge and a tunnel in a distributed manner and is used for acquiring physical response data; according to the ring network communication layer, data acquisition nodes are connected in series through communication links to form a physical closed-loop topology, and each data acquisition node is provided with double communication ports and is connected with adjacent network equipment; the ring network communication layer operates an intelligent route switching mechanism, and can control nodes to switch a route path when a fault occurs. Through the three-level architecture, the physical closed-loop topology, the double communication ports and the intelligent route switching mechanism, the single-point fault hidden danger of a traditional communication architecture is solved from the source, and the system communication reliability and the data transmission continuity are greatly improved.

The invention belongs to the technical field of intelligent power grid protection, and discloses an intelligent medium-voltage looped network switch cabinet emergency protection method, which comprises the steps of obtaining real-time electrical state data of each switch cabinet in looped network topology and performing multi-parameter electrical coupling analysis on the real-time electrical state data to obtain a dynamic electrical association diagram; fault identification is carried out based on the dynamic electrical association diagram to obtain fault source nodes, and a fault propagation path prediction matrix is constructed according to the positions of the fault source nodes and electrical coupling strength distribution characteristics; calculating the breaking time sequence priority of each switch cabinet in combination with the diffusion time sequence probability and the load importance to obtain a linkage breaking instruction sequence; mechanical response time delay and arc extinguishing time dynamic adjustment and real-time increment updating are carried out on the linkage breaking instruction sequence; according to the method, the accuracy of fault isolation and the coordination of protection actions are remarkably improved, and high-quality technical support is provided for looped network power supply protection and intelligent operation and maintenance.

The invention discloses a steam pipe network pressure prediction method and device. The method comprises the following steps: acquiring a state data sequence of a plurality of nodes in the steam pipe network under a plurality of dimensions in a first time period; a steam pipe network distribution diagram is obtained, a weighted directed graph corresponding to the steam pipe network is constructed according to the steam pipe network distribution diagram and the state data sequence, and the weighted directed graph comprises the connection relation of multiple nodes and the weight of each edge; and analyzing the state data sequence and the weighted directed graph by using a pre-trained pressure prediction model to obtain respective pressure data sequences of the plurality of nodes in a second time period after the first time period, the pressure prediction model including a bidirectional diffusion convolutional network and a gated loop network. The technical problems that a traditional data-driven model is difficult to capture space-time correlation, and the prediction precision and timeliness of the pressure of the steam pipe network are insufficient are solved.

The utility model discloses a primary and secondary fusion environment-friendly gas insulated looped network box, which belongs to the technical field of electrical equipment, and comprises a box body, the top of the box body is fixedly connected with a top cover, the top cover is internally provided with a cavity, and a plurality of activated carbon filter plates are fixedly connected in the cavity. Two air inlet channels are fixedly installed at the bottom of the top cover, first exhaust fans are installed in the air inlet channels, air inside and outside the box body can be rapidly circulated through cooperation of the first exhaust fans and second exhaust fans, heat generated inside is discharged out of the box body along with flowing of the air, and the heat dissipation efficiency is improved. And meanwhile, the linear guide rails and the supporting and guiding assemblies are additionally arranged, so that the main body of the electrical element can be directly pulled out from the box body, and the maintenance or the mounting and dismounting operation of the electrical element by a worker is more convenient.

The invention discloses an adaptive multi-loop network InSAR phase unwrapping method and device, and relates to the technical field of interferometric synthetic aperture radar measurement. The method comprises the following steps: acquiring an interferometric phase diagram and a topographic map of a complex topographic region; calculating coherence, a topographic gradient map, a phase gradient standard deviation and residual density based on the interferometric phase map and the topographic map; based on the coherence, the terrain gradient map, the phase gradient standard deviation and the residual density, dynamically selecting the size of a ring through a decision function, and constructing a multi-ring network; determining the connectivity of the multi-ring network according to a bridging strategy and a connectivity detection method, and outputting a global connected network; on the basis of the global connected network, layered residual optimization is carried out by adopting a local absorption and global planning double-layer strategy, and an optimized residual is output; and based on the optimized residual error, unwrapping all rings in the global connected network through an in-ring local unwrapping and global optimization strategy, and outputting an unwrapping result. According to the invention, the problem of network connectivity in a complex area can be solved.

The invention discloses a low-noise amplifier circuit capable of improving stability and bypass linearity, and relates to the technical field of radio frequency integrated circuits. The circuit comprises an input matching module, a low noise amplification module, an output matching module, a bypass module, a common source electrode switch module and a negative feedback virtual ground module. A leakage path is cut off according to cooperative control of an enable signal and an MOS switch tube through the common source electrode switch module so as to improve the linearity of a bypass mode, and a negative feedback loop network is generated by the negative feedback virtual ground module and the output matching module, so that a high-frequency signal is fed back from the negative feedback loop network, and the linearity of the bypass mode is improved. The problem of stability under high gain is solved.

The invention discloses a neighborhood center layout-based power distribution looped network diagram automatic generation method, system and device, and a storage medium, and relates to the technical field of electrics, and the method comprises the steps: carrying out the branch model cutting and preprocessing of a power distribution looped network diagram device topology model relation; and generating a trunk path equipment set comprising a transformer substation power supply node, a connection switch node and a trunk path switch node, and complementing feeder attribute information through a width search algorithm when feeder attributes are missing and wrong. And constructing a graph calculation model according to the main path equipment set and the line topological relation, and generating a power supply node set and a node and edge data structure. And calculating the connection degree between the power supply nodes based on the power supply node set, performing ascending sorting, executing initial layout of the power supply nodes according to a sorting result, performing neighborhood center layout and local orthogonal processing on non-power supply nodes by using an initial layout result, and generating node positions of the looped network graph with balanced layout. According to the invention, the intuition readability of the distribution ring network graph is improved.

The invention discloses a high-voltage looped network power switch cabinet, and belongs to the technical field of switch cabinets, the high-voltage looped network power switch cabinet comprises a switch cabinet main body, the center of the front end face of the switch cabinet main body is rotatably connected with a box door, one side of the center of the front end face of the box door is provided with a fingerprint coded lock, and the upper side of one side of the front end face of the switch cabinet main body is provided with a locking structure. Temperature control structures are arranged at the centers of the two side walls of the switch cabinet main body, a switch cabinet structure is arranged at the center of the interior of the switch cabinet main body, a buffer structure is arranged at the center of the lower end face of the switch cabinet main body, the inner side wall of the switch cabinet main body is sleeved with a heat preservation layer, and the inner side wall of the heat preservation layer is sleeved with an inner layer. Directional conveying of hot air and normal-temperature air can be achieved, energy waste caused by undifferentiated temperature control is avoided, heat circulation of a single heat source and multi-area benefits can be achieved, and meanwhile the heat insulation function of polyurethane heat insulation cotton of the heat insulation layer is matched, hot air loss is reduced, and equipment aging caused by local overheating is avoided.

The application discloses a communication method, device, system and train, relates to the field of optical fiber communication, and is applied to a processor in any compartment of a train, wherein the processor is connected with an optical fiber ring network, the processor and train communication equipment in the compartment perform communication data interaction, and then the processor and the optical fiber ring network perform communication data interaction in the form of optical signals, so that the train communication equipment in different compartments can communicate with each other. The communication data is not easy to be lost and is not easy to be affected by electromagnetic interference through the mode of data transmission by optical fibers instead of cables, so that the communication quality of the train communication equipment is improved. Moreover, the communication data of multiple train communication equipments is converted into optical signals and transmitted in the form of a bundle of light, so that multiple communication networks are not needed, and only one optical fiber ring network can realize data transmission of multiple train communication equipments at the same time, so that the complexity of the wiring environment in the train is reduced, and the total weight of the train is reduced.

The invention discloses a charging pile ring network communication method based on a virtual interaction technology, and belongs to the technical field of electric vehicle charging. The method comprises the steps that a terminal charging management control unit TCCU and a plurality of terminal management units TMUs are connected through network cables to form an annular physical connection system, and an annular network topology is constructed; using the terminal charging management control unit TCCU as a server to configure a fixed IP address for the terminal charging management control unit TCCU; each TMU is used as a client, and a unique IP address and a unique MAC address are automatically allocated based on single-board dial-up of the TMU; the TMU sends an ARP (Address Resolution Protocol) message to obtain a server MAC (Media Access Control) address, then the TMU initiates a TCP / IP (Transmission Control Protocol / Internet Protocol) connection request, the TCP / IP connection request is forwarded through network ports of other TMUs on the ring network system, and a stable communication link is established after the TCCU responds to the TCP / IP connection request; and the TMU receives the network data through the network port and compares the target MAC address, and non-self data is forwarded to the next TMU through another network port until the data is sent to the server to complete communication.

The utility model relates to the field of underground coal mine safety monitoring and dust falling, in particular to an underground coal mine automatic spraying and dust falling centralized control system. Comprising a ground ring network switch, an underground ring network switch, a plurality of dust control subsystems, a plurality of water quality monitoring systems, an audible and visual alarm, a main control computer, a printer, a lightning protection module, a standby main control computer and an integrated information network. The ground ring network switch is connected with the main control computer, and the printer, the lightning protection module, the standby main control computer and the integrated information network are connected with the main control computer. The device improves the labor hygiene condition of an underground mine working place, improves the safety production level of a mine, guarantees the safety production of a coal mine and the personal safety of workers, and prevents coal mine accidents from happening.

The embodiment of the invention provides a plug-and-play communication extension method and system based on a blackboard mode shared ring high-speed ring network technology, and belongs to the technical field of power distribution network measurement and control communication. The system comprises a plurality of docking stations and a distributed cooperative control looped network formed based on the docking stations. The docking station is realized through an FPGA semi-customized chip, and the internal integration module comprises a blackboard mode sharing ring network module, a distributed cooperative communication module and an equipment interface management module; the blackboard mode sharing ring network module is used for executing data sharing and transmission; the distributed cooperative communication module is used for executing distributed cooperative control of data; the equipment interface management module is used for identifying power distribution network equipment in a plug-and-play manner and distributing logic node addresses; the distributed cooperative control ring network formed based on the docking stations is connected with all the docking stations to form a double-ring topology, and deterministic transmission of data frames is executed through a hardware-level protocol stack. According to the invention, high-speed, high-reliability and time-deterministic communication problems of a novel low-voltage power distribution network source network load energy storage interaction adjustment and measurement and control protection system can be solved.

The invention belongs to the technical field of management and control systems, and particularly relates to an intelligent comprehensive management and control system for a coal mine, which comprises a sensing layer comprising a multi-source heterogeneous sensor network and an edge computing node; the transmission layer is used for realizing data return based on an industrial ring network and a wireless communication redundant network; a platform layer; the application layer comprises an intelligent comprehensive monitoring center, a production intelligent management and control module, a safety intelligent prevention and control module and an intelligent emergency command module; the intelligent comprehensive monitoring center realizes total-factor visualization and risk early warning; the production intelligent management and control module associates the geologic model with the real-time data and dynamically optimizes the mining plan; the safety intelligent prevention and control module identifies personnel unsafe behaviors and carries out hidden danger closed-loop management; and the intelligent emergency command module responds to early warning and executes linkage operation, and supports off-line handling when network interruption or platform layer faults occur. By constructing a multi-layer architecture comprising a sensing layer, a transmission layer, a platform layer and an application layer, comprehensive intelligent management and control of a coal mine production process are realized.

The utility model relates to a central air-conditioning monitoring system for a high-speed rail station, which comprises a monitoring host and a cold and heat source host PLC master station connected with the monitoring host, and the cold and heat source host PLC master station is accessed to the monitoring host through network cable jump. The tail end sensor is arranged in an air conditioner fan box, is connected to the DDC control cabinet, and is in signal connection with the monitoring host through a BAS optical fiber ring network of a station; the environment monitoring sensor comprises an environment parameter integrated monitor installed in a waiting room and a fuel gas monitor installed in a heating and ventilation power machine room, and the environment monitoring sensor is in signal connection with the monitoring host through a BAS optical fiber ring network of a station. Compared with the prior art, the cold and heat source host, the terminal air-conditioning box of the waiting room and the monitoring sensor of the waiting room environment are connected to the monitoring host of the elimination control room through the station local area network, so that information such as the running state of the central air-conditioning system, the temperature and humidity of the outdoor environment, the heat and humidity state of the terminal air-conditioning box and the like can be obtained; management personnel can conveniently know the environment in the station and the running state of the central air conditioner.

The application provides a resilient packet ring message forwarding method and device. The method comprises the following steps: receiving a cross-device link aggregation announcement message through a resilient packet ring network; allocating a RPR cross-device link aggregation identifier for a RPR MAC address of a member node carried by the cross-device link aggregation announcement message; receiving an Ethernet unicast message; when a destination MAC address of the received Ethernet unicast message corresponds to a RPR cross-device link aggregation identifier; performing hash calculation according to the Ethernet unicast message, taking a RPR MAC address of a member node corresponding to a result of the hash calculation as a destination RPR MAC address, taking a RPR MAC address of the current node as a source RPR MAC address, and encapsulating the received Ethernet unicast message into a RPR unicast message; and sending the RPR unicast message through an out port of a shortest RPR path reaching the destination RPR MAC address of the RPR unicast message.