35 results about "Back-up equipment" patented technology

The invention discloses a device redundancy backup method and system based on intelligent identity switching, and belongs to the technical field of data processing, and the method comprises the steps: if the current state of a main device is a fault state, extracting the identity and work task information of the main device in the fault state, and issuing an identity and work task switching instruction to a standby device; after receiving the identity and work task switching instruction, the standby equipment modifies the address of the standby equipment into the address of the main equipment in a fault state according to the identity information of the main equipment, and loads software configuration and a work task program of the main equipment in the fault state according to the work task information of the main equipment; and updating the current states of the main equipment and the standby equipment in the equipment information table. According to the equipment redundancy backup method and system based on intelligent identity switching, the problem that a special redundancy controller needs to be additionally arranged in a traditional equipment redundancy backup mode, so that the hardware cost and the configuration complexity of a whole set of system are increased is solved.

The invention relates to the technical field of construction management, in particular to a road construction management system based on cloud computing, which comprises a cloud density sensing module, a construction task disassembling module, an equipment scheduling conflict identification module, a resource throttling rate matching module and a dynamic risk early warning defining module. According to the method, the aggregation tasks are disassembled and the priorities are adjusted by identifying and labeling the high-load construction area and combining the process dependence degree, the task organization sequence of the high-density area is effectively optimized, and the equipment resource use conflicts are identified through cross judgment of the scheduling time periods among the processes; whether scheduling overrun exists or not is judged in combination with the equipment utilization rate and the resource scheduling rate, standby equipment is matched in time or speed limiting regulation is implemented, an early warning boundary is established through included angle change rate and path intersection judgment, and forward risk prompt and path boundary calibration of personnel and equipment intersection points are achieved; and the organization efficiency, the resource collaboration and the safety control precision in a high-density working environment are improved.

The invention discloses a multi-energy collaborative optimization energy conservation and emission reduction system and method based on intelligent regulation and control, and the system comprises an intelligent sensing layer which monitors the stress change, carries out the preprocessing of multi-source heterogeneous data, and transmits the data to a dynamic analysis layer; the dynamic analysis layer is used for constructing a digital twinborn model of coupling equipment based on multi-source heterogeneous data, quantifying the interactive influence between the equipment, simulating a chain propagation path of a single fault, and generating an anti-disturbance capability evaluation report in combination with an equipment operation limit value and a vulnerability index; the collaborative decision-making layer is used for generating an initial scheduling scheme, sending the initial scheduling scheme to the toughness interaction layer, triggering a fault response mechanism through a collaborative scheduling model, and synchronously starting standby equipment; and the tough interaction layer responds to auxiliary service requirements of a power grid in real time, receives a user side load regulation instruction, optimizes a green electricity transaction quota in combination with a carbon flow tracking technology, finally connects external energy support with an internal emergency plan through a two-way interaction mechanism, and quickly calls regional standby resources when a fault occurs.

The application discloses a compressor lubricating oil path system, and belongs to the technical field of compressor lubrication, which comprises a lubricating oil tank, an oil conveying assembly, a cooling assembly and a filtering assembly, wherein the cooling assembly comprises a first cooler and a second cooler, and the filtering assembly comprises a first filter and a second filter; a first branch is arranged between the inlets of the first cooler and the second cooler, the second outlets of the first cooler and the second cooler are connected to a first backflow branch, and the first backflow branch is communicated to the lubricating oil tank; a second branch is arranged between the inlets of the first filter and the second filter, the second outlets of the first filter and the second filter are connected to a second backflow branch, and the second backflow branch is communicated to the lubricating oil tank. The application guarantees that the standby equipment is still full of lubricating oil in the standby state, and guarantees that the lubricating oil in the standby equipment is in a circulating flow state in the normal working process, thereby solving the problems of oil pressure fluctuation and oil temperature fluctuation existing in equipment switching.

This invention discloses a service flow method, system, terminal, and storage medium based on situational awareness. By selecting a detection server from a device group, acquiring data from the remaining devices, and identifying abnormal devices within the group, the invention determines a backup device for each abnormal device based on its grouping tag information (generated from operational and service information). The service flow from the abnormal device is then transferred to the backup device. This invention selects a detection server from the device group, eliminating the need for a dedicated detection server and improving system resource utilization. The detection server identifies abnormal devices based on data from the remaining devices and selects a device within the same group that is more compatible with the abnormal device's service as a backup device, ensuring timely transfer of services from the abnormal device and guaranteeing smooth service operation.

The invention discloses an equipment collaborative cluster management system and method based on cloud service, and relates to the technical field of data processing, and the system comprises an equipment access management unit, a task management unit, a state evaluation unit and a collaborative scheduling unit. The method comprises the following steps: obtaining a task request submitted by a user, providing a distributed task queue to realize load balancing so as to obtain a task execution list, integrating according to the task execution list so as to obtain resource demand data, integrating according to a dynamic weight algorithm based on equipment computing power, network bandwidth and task priority so as to obtain a resource allocation table, and carrying out operation evaluation on equipment. When a device fault and a performance bottleneck are detected, obtaining an interference factor of the device to analyze a fault reason according to the interference factor, avoiding the fault reason and replacing a target device with an adaptive standby device, and finally uniformly scheduling all device resources by a cloud to execute subtask instructions one by one. The standby equipment can be prevented from still having a fault due to the same fault factor of the standby equipment and the target equipment.

The invention provides a new energy power station redundancy scheduling management method and system, and the method comprises the steps: deploying a main switch and a standby switch in a control center of a new energy power station, and enabling the main switch to achieve the switching with the standby switch based on a dynamic link detection mechanism; for target equipment of a new energy power station, a main uninterruptible power supply and a standby uninterruptible power supply are provided, the main uninterruptible power supply and the standby uninterruptible power supply are respectively provided with an independent battery pack, a static switch is adopted to realize switching between the main uninterruptible power supply and the standby uninterruptible power supply, and loads of the main uninterruptible power supply and the standby uninterruptible power supply are allocated through load balancing; monitoring the operation state of the target equipment of the new energy power station through the control center; and when the running state of the target equipment shows to be abnormal, triggering a redundancy switching mechanism through the control center, and switching the abnormal target equipment to the preset standby equipment, so that resources can be reasonably allocated, the equipment overload can be avoided, and the resource utilization rate can be improved according to the real-time link state and the equipment load condition.

This invention provides a ground electronic unit device and transmission method for a train control system. The device includes a chassis, a power supply module, a recording module, a main control module, and a C-interface module. The main control module determines the operating mode according to a configuration file. When the operating mode is transparent message transmission, it receives data sent by the target device and transmits it to the C-interface module. When the operating mode is message selection, it selects a message based on the target device's status data and sends it to the C-interface module, so that the C-interface module converts the message into a transponder C-interface signal and sends it to the active transponder. This solution is compatible with multiple LEU types to adapt to different application scenarios and supports autonomous redundancy switching based on its own operating status, ensuring rapid switching to backup equipment in case of primary equipment failure, thereby significantly improving system availability. This device allows users to flexibly configure each functional module according to their needs, possessing extremely high adaptability and scalability, enhancing the reliability and availability of the system.

A data processing method in a virtualized environment, applied to scenarios where execution of service migration of virtualized devices is required to implement software version upgrading related to the virtualized devices. In the method, during running of an original virtualized device, a new operating system is started on the same apparatus to run a start dependent process of a new virtualized device, and after a running environment of the original virtualized device is transmitted to the start dependent process in advance, running of the original virtualized device is stopped and state data of the original virtualized device is transmitted to the start dependent process to start the new virtualized device, thereby effectively reducing the amount of data transmitted when running of the virtualized device is stopped, effectively shortening the service interruption time, and avoiding resource waste because no additional standby apparatus needs to be prepared to run the virtualized device.

The invention relates to the technical field of cross-border platform data processing, in particular to a cross-border platform data processing method and system. The invention provides a cross-boundary platform data processing method and system. The cross-boundary platform data processing method comprises the following steps: acquiring a first data set of equipment to obtain a first equipment set, a second equipment set and a third equipment set; checking an updating notification of the equipment to obtain first updating equipment, second updating equipment and a standby equipment set; obtaining a second data set of the equipment, and obtaining first standby equipment and second standby equipment based on the first updating equipment, the second updating equipment and the standby equipment set; and based on the first updating device, the second updating device, the first standby device and the second standby device, carrying out device switching. According to the method, the device sets are divided by obtaining the multi-dimensional data set of the device, the updating device and the standby device are determined, and the effects of accurately managing device resources and improving the working efficiency are achieved.

The application discloses a power plant water system intelligent linkage control method and system based on fault early warning, comprising the following steps: 1) when there is a fault device, early warning information is sent out; 2) the fault device is kept in current operation, reduced power operation or switched device operation; 3) whether the internal fault of the system where the fault device is located is self-healing is judged, when the internal fault of the system where the fault device is located cannot be self-healing, linkage instructions are sent out to the upstream and downstream systems associated with the system where the fault device is located, and autonomous control measures are taken on the fault device, and a suitable device operation mode is selected; 4) after the autonomous control of the fault device is finished, whether the fault is eliminated is judged, when the fault is eliminated, the original operation mode of the fault device is restored, and the linkage instructions are cancelled; otherwise, whether the fault device has a standby device is judged, and the method and the system can avoid that the subsystem device is abnormally operated to cause damage of the device and even cause abnormal shutdown of the unit.

The embodiment of the invention provides a host election method and device of a home system, equipment and a storage medium. The method comprises the following steps: acquiring equipment parameters of a plurality of standby hosts and operation state parameters of the home system; the operation state parameters comprise at least one of network state parameters, control instruction characteristics, equipment connection information and equipment distribution characteristics; determining a weight coefficient corresponding to the equipment parameter according to the operation state parameter; determining scores corresponding to the standby hosts according to the equipment parameters and the weight coefficients of the standby hosts; determining at least one target standby host according to the score corresponding to each standby device; and when the main control host meets the replacement condition, replacing the main control host with the target standby host to connect the target standby host with the plurality of household devices so as to control the plurality of household devices through the target standby host. And the weight coefficient is dynamically calculated for the equipment parameters based on the system state, so that the selected target standby host is the optimal host, and dynamic self-adaptive optimal host selection is realized.

The invention provides an electric control system for logistics equipment, and relates to the technical field of logistics system control, and the system comprises a data collection module which is used for collecting equipment state data and environment data in real time; the main control module is used for generating a scheduling strategy; the intelligent strategy optimization module is used for constructing a virtual model according to the equipment state data and the scheduling strategy; the plurality of logistics equipment ends are used for receiving and executing the control instruction; the fault feedback module is used for judging whether a fault occurs among the plurality of logistics equipment or not; and the standby line management module is used for judging whether standby equipment needs to be started or not. According to the invention, through a multi-layer high-precision dynamic interaction model constructed by the intelligent strategy optimization module, synchronous evolution of a virtual model and physical equipment is realized; and the fault feedback module accurately identifies a fault propagation path based on sliding window statistics and association rule mining, and realizes fault early warning through an LSTM prediction model in combination with an attention mechanism.

The invention discloses a water conservancy and hydropower construction resource management scheduling method and system based on artificial intelligence, relates to the technical field of resource management scheduling, and provides the following scheme: preprocessing real-time state data and environmental parameter data to obtain a standardized data transmission object; inputting the processed data into an artificial intelligence dynamic association model for processing, and generating a risk level of the equipment; when the risk level of the equipment reaches a preset value, triggering an adaptive scheduling instruction, and generating a structured scheduling instruction packet based on a construction progress model and equipment position data; and issuing the structured scheduling instruction packet to a standby equipment execution end, and verifying the equipment health index change under the new instruction packet in real time. By constructing an equipment environment dynamic association model, the equipment fault risk is predicted by artificial intelligence, and an adaptive scheduling instruction is triggered, so that the problem of resource scheduling lag caused by equipment damage due to environment sudden change in water conservancy and hydropower construction is solved.

1. The name of the design product: battery (communication backup power supply). 2. The use of the design product: the design product is mainly used for emergency backup equipment for providing stable power output for communication base stations, 5G base stations, data centers, etc. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: design 1 perspective view 1. 5. Design 1 is designated as the basic design.

The invention discloses a substation equipment cooperative control method. The method comprises the following steps: acquiring operation data of power equipment in a substation in real time; identifying a target equipment group under the current working condition based on a pre-constructed equipment coordination relationship library; generating a cooperative control strategy and issuing the cooperative control strategy to the edge intelligent gateway; the gateway analyzes the strategy into an executable instruction set of heterogeneous equipment and performs dual security verification; synchronously issuing an instruction to multiple devices through the parallel control channel; and if the execution fails, triggering a self-adaptive retry mechanism, and after the retry fails, starting standby equipment switching and storing fault information into the block chain. According to the invention, intelligent, safe and efficient cooperative linkage control among multiple devices of the transformer substation is realized, and the response speed of the devices of the transformer substation is remarkably improved.

A control plane (CP) device switching method includes that when a user plane (UP) device in a forwarding-control separation system detects that performance of communication between the UP device and an active CP device does not meet a normal communication condition, and performance of communication between the UP device and a standby CP device meets the normal communication condition, the UP device sends a switching request to the standby CP device. When detecting that a quantity of UP devices that each send the switching request is greater than or equal to a first quantity threshold, the standby CP device may indicate each UP device in the forwarding-control separation system to switch to the standby CP device.

The utility model discloses an electrolytic rectifier unit power supply control system, including two independent 1# load, 2# load, 1# rectifier, 2#A rectifier, 2#B rectifier, 3# rectifier, ZBT1 transformer, ZBT2 transformer, ZBT3 transformer, 1# rectifier is parallel with 2#A rectifier, and each half is taken to the load, is used for the power supply of 1# load, 3# rectifier is parallel with 2#B rectifier, and each half is taken to the load, is used for the power supply of 2# load, ZBT1 transformer is the power supply of 3# rectifier, ZBT2 transformer is the power supply of 2#A rectifier, 2#B rectifier simultaneously, ZBT3 transformer is the power supply of 1# rectifier. The scheme can build rectifier unit novel power supply connection circuit and its control system on the basis of not influencing existing operation rectifier unit, compares the rectifier unit power supply circuit of original, changes the connection mode of circuit under the condition of not increasing main loop cost, realizes a spare rectifier unit as the spare equipment of two different loads.

The invention provides an equipment baud rate configuration method and device, electronic equipment and a storage medium, and the method comprises the steps: firstly obtaining a baud rate configuration signal, the baud rate configuration signal at least comprises an interrupt number of a system-to-system management interrupt (SMI), then obtaining a first baud rate and a second baud rate according to the interrupt number, and storing the first baud rate and the second baud rate. The method comprises the following steps: firstly, acquiring a first Baud rate and a second Baud rate in a memory, then acquiring BIOS (Basic Input Output System) information, and finally, respectively configuring the first Baud rate and the second Baud rate in the memory into a register of main equipment and a register of standby equipment on the basis of an SMI (Serial Management Interface) interrupt number in the BIOS information so as to complete the configuration operation of the Baud rates of the equipment. According to the technical scheme, the Baud rate parameters are bound with the registers of the main device and the standby device through the same SMI interrupt number, the problems that the parameters of the main device and the standby device are confused, and the configured target device is misplaced are solved, and the accuracy of Baud rate configuration is greatly improved.

The invention provides an equipment redundancy switching optimization method and system under electromagnetic interference, and the method comprises the steps: carrying out the dynamic adjustment of an initial interference region through analyzing the attributes and outlines of influence elements, precisely delimiting an actual interference range, accurately recognizing influence equipment, and determining switching equipment; based on the selection type of the switching equipment, the standby equipment with the selection type is sorted, the switching equipment is sorted based on the number of functions, the standby equipment is matched for the switching equipment from the standby link, replacement is efficiently completed, and when standby resources are insufficient, the fixed equipment is called to take over the switching equipment function. The original function vacancy of the fixed equipment is filled by deploying the standby equipment; under the extreme condition, the function of interchange execution of the fixed device and the switching device is achieved by analyzing the limited type, it is guaranteed that the functions of a main link are complete under electromagnetic interference, and stable production operation is maintained.

The invention discloses a main and standby equipment fault switching method and system. The method comprises the following steps: detecting a performance state parameter of main equipment and a network state parameter between the main equipment and standby equipment; determining a current heartbeat frequency strategy according to the network state parameter and the performance state parameter; when it is judged that the main device has a fault risk according to the current heartbeat frequency strategy, corresponding operation state data are collected in the main device based on preset detection dimensions, and the preset detection dimensions comprise at least two dimensions of a network dimension, a hardware dimension and an application dimension; performing cross validation according to the running state data; and if it is determined that the main device breaks down according to the cross verification result, switching operation is executed to switch the service flow from the main device to the standby device. Through multi-dimensional accurate verification, invalid switching or frequent switching caused by erroneous judgment is avoided, the reliability and necessity of switching operation are guaranteed, and therefore the overall efficiency and accuracy of failure switching of the main equipment and the standby equipment are improved.

The invention discloses a decision scheduling method based on the Internet of Things, a storage medium and equipment, and the method comprises the steps: collecting the attribute information of an equipment layer, a network layer and a business layer in the Internet of Things, determining the relation among the equipment, the network and the business, and constructing an Internet of Things knowledge graph; health assessment is carried out on the real-time state of the Internet of Things according to the collected attribute information, if the real-time state of the Internet of Things is healthy, the Internet of Things operates according to an original decision scheduling strategy, and if not, fault equipment tracing is carried out by utilizing an Internet of Things knowledge graph constructed by combining a retrieval enhancement technology; and determining the standby equipment with the optimal performance for the standby equipment of the fault equipment based on a genetic algorithm, switching the fault equipment into the optimal standby fault equipment, and updating the decision scheduling strategy. According to the invention, the fault equipment under the Internet of Things can be traced quickly and accurately, and the efficiency and precision of decision scheduling are improved.

The invention discloses a data processing method for a virtualization environment, which is applied to a scene in which a software version related to a virtualization device is upgraded and service migration of the virtualization device needs to be executed. According to the method, in the operation process of an original virtualization device, an operation system is newly started on the same equipment to operate a starting dependency process of a new virtualization device, and after the operation environment of the original virtualization device is transmitted to the starting dependency process in advance, the new virtualization device is started; the original virtualization device is stopped from running, and the state data of the original virtualization device is transmitted to the starting dependent process to start the new virtualization device, so that the amount of data transmitted when the virtualization device stops running is effectively reduced, and the service interruption time can be effectively shortened; and extra standby equipment does not need to be prepared to operate the virtualization device, so that resource waste is avoided.

The invention discloses an equipment switching method and device, equipment and a storage medium, and relates to the technical field of computers. The method comprises the following steps: acquiring a state parameter of production equipment which is executing a training task, wherein the state parameter is used for describing an operation state of the production equipment; and if the state parameter meets the troubleshooting condition, switching from the production equipment to the first standby equipment to execute the training task. In the execution process of the training task, the production equipment which may fail is determined. After the production equipment which possibly breaks down is determined, the standby equipment is adopted to replace the production equipment to execute the training task, and the training task does not need to be interrupted. Therefore, the problems that the switching time is long and the execution efficiency of the training task is not high because the standby equipment is switched after the production equipment breaks down and the training task is interrupted are avoided, the switching time of the equipment for executing the training task is shortened, and the execution efficiency of the training task is improved.

The invention relates to the field of power system operation and equipment maintenance, in particular to a generator set maintenance plan generation method and system based on multi-scale data fusion. The method comprises the steps of performing data alignment and modeling by integrating multi-time scale load data, equipment parameters and historical records, and generating a two-dimensional prediction structure; forming a maintenance scheme draft through constraint processing and resource configuration; performing association mining and rule extraction on the historical data by utilizing a machine learning technology to generate a multi-version alternative scheme sequence; by monitoring load change in real time, dynamically triggering rule instantiation and selecting a target scheme, temporary adjustment and optimization are carried out on maintenance procedures and standby equipment calling accordingly, and finally plan configuration capable of being executed in a write-back mode is generated. According to the method, the self-adaptive capability and decision scientificity of the maintenance plan for the power grid load fluctuation are effectively improved, and stable and efficient operation of the power grid during the maintenance period is ensured.

The invention discloses a main-standby switching method, device and system and a storage medium, relates to the technical field of communication, and aims at improving the response speed of switching standby equipment into main equipment to a millisecond level and improving the user experience. The method comprises the following steps: sending a fault message to a second device after detecting that a first device has a fault, and switching from a main device to a standby device. The fault message is used for indicating that the first equipment is in a fault state and the second equipment is standby equipment.

This application discloses a clock synchronization method, apparatus, and bearer network equipment. The method includes: a first device as the primary device in a Precision Time Protocol (PTP) clock source group; a fourth device as a backup device in the PTP clock source group; and a second and third device communicating with each device in the PTP clock source group via links. The second device tracks the primary PTP clock signal of the first device, and the third device tracks the primary PTP clock signal of the first device. The first device determines that the link between the first and third devices is faulty. The first device prevents the second device from tracking the primary PTP clock signal of the first device. That is, when the first device determines that the link between the first and third devices is faulty, the first device prevents the second device from tracking the primary PTP clock signal of the first device, allowing both the second and third devices to re-track other higher-priority devices in the PTP clock source group, effectively ensuring time synchronization between the second and third devices and meeting standard requirements.

This invention relates to the field of industrial manufacturing equipment maintenance technology, and particularly to a method and system for collaboratively optimizing and monitoring energy consumption and equipment status in process manufacturing. The method includes monitoring and calculating the probability of failure using sensors; when the failure probability reaches a threshold, collecting failure status data and energy consumption data before and after the corresponding timestamp, defining before and after time windows; determining the energy consumption status of equipment within the before time window based on historical energy consumption baselines; calculating the total energy consumption increment for standby equipment switching and steady-state operation within the after time window based on historical production line data; generating failure risk constraints based on the failure probability change rate; setting energy efficiency thresholds based on production line energy consumption control targets and generating energy efficiency constraints; and outputting a decision result of delayed shutdown or immediate shutdown by comprehensively considering the energy consumption status and the two types of constraints. This invention achieves a collaborative balance between equipment failure risk prevention and energy consumption optimization, avoiding energy waste caused by blind shutdowns under low-energy steady-state conditions.

The application discloses an intelligent AI computing power system working state control system, relates to the technical field of AI computing power system management, and comprises a data acquisition module, a computing power analysis module, a device prediction module and a device planning module.The data acquisition module is used for collecting data of the previous year operation of the intelligent AI computing power system and classifying the collected data.The technical key points are as follows: the data of the previous year operation of the intelligent AI computing power system is analyzed and processed, and then prediction is carried out, the total computing power Zsl required by the intelligent AI computing power system operation at a future time point of the current year is predicted, and then the number of required devices is analyzed and judged according to the total computing power Zsl, which can help relevant personnel to understand the number of required devices at different time points in the future, can reasonably allocate devices, and can avoid the cases that too many devices are idle or too few standby devices are provided, so that the overall use effect is good, and the application has a good use prospect.

The invention discloses a park logistics emergency dynamic scheduling and hierarchical collaboration method based on air-ground collaboration, and belongs to the technical field of intelligent logistics. The method comprises the following steps that: fault equipment automatically uploads task information to a cloud scheduling platform, and a system performs stage processing according to whether the task is emergent or not: for the emergent fault task, main station standby equipment is called to execute a special line direct route of'main station-fault point-destination ', so that quick response is ensured, and the in-transit task is not influenced; aiming at a conventional task, through constructing a comprehensive cost model of a path matching degree, a destination collaboration degree and equipment type adaptability, intelligently screening optimal transfer equipment, and seamlessly fusing a fault transfer task into an original task sequence of the equipment by adopting a sequence guarantee insertion algorithm; and finally, the system updates the task list and the driving path of the optimal transfer equipment in real time. According to the invention, unification of emergency quick response and global efficiency optimization is realized, and the toughness and operation reliability of the park logistics system are significantly improved.