98 results about "Back-up equipment" patented technology

The invention discloses an intelligent production scheduling method and device for the equipment manufacturing industry, and relates to the technical field of production scheduling, and the method comprises the steps: building an equipment file information library, and recording the information of active equipment and standby equipment of a target production line; and constructing an equipment topology network according to the equipment file information base and the process information of the production line. Configuring a lightweight prediction model for each edge equipment node, and performing equipment health state analysis and short-term maintenance demand prediction in combination with real-time equipment operation data to obtain a preliminary evaluation state; and performing evaluation state correction through data sharing of edge equipment nodes to obtain a final evaluation result of the equipment. And according to an evaluation result and an equipment archive library, generating an equipment scheduling and maintenance decision, and realizing intelligent production scheduling. The technical problem that equipment maintenance and production scheduling are lack of flexibility and predictability in the prior art is solved, and the technical effects of improving the equipment utilization rate, optimizing production scheduling and ensuring efficient operation of a production line are achieved.

The invention belongs to the technical field of equipment fault detection, and discloses a Petri network-based discrete manufacturing system toughness enhancement method and system. According to the method, redundancy design is carried out by determining a key area and reasonably configuring standby equipment and redundant personnel; petri net modeling is carried out, the intelligent agent carries out cyclic updating of a petri net model by using a deep reinforcement learning algorithm according to reward feedback, and an optimal scheduling strategy in different system states is learned; and optimizing the Petri network model according to the optimal scheduling strategy and the real-time state information obtained by learning to complete stable operation of the intelligent agent in a complex environment. Accurate execution of the instruction is ensured by comparing actual data through simulation. The intelligent agent gradually converges to an optimal strategy through an exploration rate attenuation mechanism to adapt to a complex production environment. The process waiting time is recorded through the timestamp, so that the overstock of products in process is reduced, and the process connection efficiency is improved.

The invention discloses a whole machine hot standby switching method of a network system, electronic equipment, a medium and a product, and relates to the technical field of computers, and the method comprises the following steps: when a first target host device in a fault state exists in a plurality of host devices, deleting the first target host device, and generating corresponding fault information, and receiving a first topology configuration file of a new graphic processing unit updated by the multi-host control processing unit based on the fault information, so as to update a routing table of the PCIe switch based on the first topology configuration file, and mapping resources of the graphic processing unit of the first target host device to a second target host device in a normal state, the problems that the port mapping of the PCIe switch is relatively fixed and the data is difficult to switch to the standby equipment quickly are solved, and the flexible connection of the GPUs and the continuous updating of the routing table are realized through the PCIe switch, so that the efficient data interaction and resource mapping among the GPUs are realized.

The invention provides a linkage control method and system for computer auxiliary equipment, and the method comprises the steps: generating an equipment linkage control instruction sequence through prediction probability distribution, managing a multi-equipment concurrency control request through a priority queue, and dynamically adjusting an instruction execution sequence according to the equipment response time and the resource occupation condition, if the response time of the equipment exceeds a preset delay threshold value, reducing the linkage priority of the equipment and activating standby equipment; and adjusting equipment linkage strategy parameters according to a model updating result, adopting an adaptive threshold mechanism to optimize a prediction trigger condition, calculating a user satisfaction index through a moving average algorithm, and if the satisfaction is lower than a reference value, backtracking and analyzing operation sequence features and recalibrating personalized operation habit model parameters.

The invention belongs to the field of compressed air production control, and provides a control method for improving the reliability of a header system compressed air system and a related device. PLC fault judgment is added for on-site side equipment of an air compressor, a drying machine and a measuring instrument; in a DCS side protection interlocking system, joint starting logic is added, and a DCS can automatically trigger a starting program of standby equipment; a grouping type power supply strategy is adopted for power supplies of an air compressor, a drying machine and an in-situ instrument, and equipment is dispersed into different power packs; and a two-standby configuration mode is adopted in the operation mode of the power plant. On the basis of an existing PLC control function, the functions of starting and stopping sequential control and DCS fault alarm under the fault conditions of air compressor motor faults, outlet door closing and the like are added. The problems that when an air compressor motor breaks down or an outlet door is closed, a PLC does not have relevant logical judgment, and consequently a channel is blocked, and the pressure of a drying machine outlet main pipe is reduced are avoided.

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 discloses an artificial intelligence-based industrial electromechanical equipment management and control method and system, and particularly relates to the technical field of equipment management and control, and the method comprises the steps: collecting the operation data of industrial electromechanical equipment through a sensor and a monitoring system, and extracting the characteristics of the operation data of the industrial electromechanical equipment; performing fault diagnosis on each industrial electromechanical device by using an artificial intelligence algorithm based on the extracted features, determining a standby device of the industrial electromechanical device having the fault according to the industrial electromechanical device having the fault, and collecting historical information of the standby device according to the relative amplitude of the operation data of the standby device and the fault record of the standby device, according to records detected by the artificial intelligence algorithm of the standby equipment, confusion matrix indexes of the standby equipment are determined, artificial intelligence training information of the standby equipment is collected, and the matching degree of the standby equipment and the fault equipment is quantified. According to the method, the starting opportunity of the standby equipment can be optimized, and the minimum downtime of equipment switching in the production process is ensured.

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 relates to the technical field of intelligent gateways, and particularly discloses a remote management method and system for communication gateway equipment, which is specifically characterized in that remote management network access equipment is registered, and a secure hash function is utilized to generate an equipment unique identifier and an authentication challenge value; the network access equipment signs the authentication challenge value by using an equipment private key, and the management end authenticates the identity of the network access equipment; acquiring a registration state and historical behavior data of the network access equipment, and calculating a trust score to obtain an authority level; the same shared point is calculated to generate a session key so as to realize encrypted communication and data storage recording work between the network access equipment and the management end; inputting the response time deviation data, the CPU utilization rate deviation data and the memory utilization rate deviation data into a behavior deviation score expression to obtain a total deviation score; the total deviation score is compared with a deviation threshold value, if the total deviation score is larger than the deviation threshold value, recalculation of the trust score and the permission level is triggered again, the access permission is updated, and the management end records the change.

The invention discloses a data twin driven production equipment layout control system and method, and relates to the related technical field of control systems, and the method comprises the steps: carrying out the fault probability recognition of a plurality of production line nodes, and generating a plurality of node fault probabilities; and performing node importance analysis, and establishing a plurality of node importance indexes. Determining a first node, obtaining real-time equipment layout information, extracting corresponding first local equipment layout information, and judging whether a standby equipment switching mechanism is included or not; and if not, performing mobility standby switching analysis on the first node, and establishing a first equipment layout optimization scheme. The first equipment layout optimization scheme is input into the twin production line for switching simulation, and a switching reliability index is generated; and if the switching reliability index is smaller than a preset index, performing equipment layout control by using a first equipment layout optimization scheme. The technical problem that in the prior art, a production equipment layout control method is difficult to timely and effectively realize quick switching and access of standby equipment after a fault occurs is solved.

The invention discloses a digital operation and maintenance method and system for a power supply station, a storage medium and a program product, and relates to the field of electric digital data processing. Determining an adjustment strategy of equipment operation parameters according to the meteorological level; reducing rated operation parameters and protection constant values of the equipment in different time periods according to the adjustment strategy; operating state parameters of the equipment are collected, and when it is detected that the operating state parameters exceed the adjusted rated operating parameters, the standby capacity is calculated; starting the standby equipment according to the standby capacity until the operation state parameters are reduced to be below the adjusted rated operation parameters; calculating a running state parameter difference value between the adjacent equipment, and determining a target adjusting quantity based on the running state parameter difference value when the running state parameter difference value exceeds a preset range; and adjusting the rated operation parameters of each device according to the target adjusting quantity, so that the difference value of the operation state parameters is maintained in a preset range. According to the invention, the operation reliability and the fault prediction accuracy of the power supply station equipment under the extreme weather condition 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.

The invention provides a backup method and device, electronic equipment and a storage medium, the method is applied to first firewall equipment serving as main equipment in a backup group, the backup group further comprises second firewall equipment serving as standby equipment, and the method comprises the following steps: generating a pairing request message, and broadcasting the pairing request message in a current subnet; when a pairing response message returned by the second firewall device is received, creating an RBM channel between the first firewall device and the second firewall device; and synchronizing the key configuration information, the service table item information and the RBM system state information based on the RBM channel. According to the method, the RBM channel is realized between the two firewall devices by applying the wireless transmission technology, the occupation of device interface resources is reduced, and the influence of actual physical connection line damage on the transmission efficiency is reduced.

The present invention discloses a master-slave switching method and system based on device synchronization, which belongs to the field of computer technology, and specifically comprises: by configuring a master device and a backup device, deploying a monitoring system and a data synchronization mechanism, and monitoring the status of the master device in real time; the master-slave switching system uses a machine learning algorithm to analyze heartbeat packets and monitoring data, generates a multi-dimensional health assessment index, and preliminarily determines the fault once it exceeds a preset threshold; comprehensively considers the heartbeat and status monitoring results, confirms the fault through a preset fault detection logic, and triggers a switching decision module to generate a switching instruction; after receiving the instruction, the execution module smoothly switches the business traffic to the backup device according to the priority and dynamic load balancing strategy; the backup device immediately takes over the service, and ensures seamless switching through data consistency verification, thereby ensuring system continuity and data integrity, improving system reliability and fault recovery capability, and improving the efficiency and accuracy of fault detection.

The invention provides a resource manager control system which comprises a plurality of sets of resource managers which at least comprise a set of main equipment and a set of standby equipment, and application program examples deployed on the standby equipment correspond to signal control and train management functions of the main equipment; when any one of the main devices fails, the application program instance corresponding to the failed main device can be activated so as to execute signal control and train management functions of the failed main device. According to the resource manager control system provided by the invention, only one set of physical equipment is needed for standby equipment, application program instances of a plurality of centralized stations can be expanded, the expansion number is basically not limited, flexible deployment and management can be realized, line segment opening construction and line time-sharing reconstruction are facilitated, physical equipment connection does not need to be changed, and the cost is reduced. Seamless compatibility and transformation upgrading are achieved, meanwhile, a higher degree of application function concentration is allowed through virtualization application, the number of concentration stations needed by railway operation can be reduced, and therefore expenditure cost is saved.

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 present invention belongs to the technical field of equipment fault detection and discloses a method and system for enhancing the resilience of discrete manufacturing systems based on Petri nets. The method performs redundant design by determining key areas and rationally configuring spare equipment and redundant personnel; performs Petri net modeling, and the intelligent agent uses a deep reinforcement learning algorithm to cyclically update the Petri net model based on reward feedback to learn the optimal scheduling strategy under different system states; based on the learned optimal scheduling strategy and real-time status information, the Petri net model is optimized to achieve stable operation of the intelligent agent in a complex environment. The present invention ensures the precise execution of instructions by comparing actual data through simulation. The intelligent agent gradually converges to the optimal strategy through an exploration rate decay mechanism and adapts to complex production environments. The waiting time of the process is recorded by timestamp to reduce the backlog of work-in-progress and improve the efficiency of process connection.

The utility model provides a control loop for rapid switching of low-voltage equipment, a terminal of a main equipment control loop is connected with a main power supply cabinet, a terminal of a standby equipment control loop is connected with a standby power supply cabinet, and a terminal strip of the main equipment control loop is connected with a normally closed point of an intermediate relay after being dismounted. A normally open contact of the intermediate relay is connected with a standby equipment control loop terminal, a standby equipment control loop is sequentially connected with a 2P circuit breaker, a two-position change-over switch and the intermediate relay from a wire outlet end of a standby power supply cabinet, one end of the two-position change-over switch is connected with an L wire of the 2P circuit breaker, and the other end of the two-position change-over switch is connected with a coil wiring end of the intermediate relay. The N line end of the 2P circuit breaker is connected with the coil wiring end of the intermediate relay; the leading-out ends of the main equipment control loop and the standby equipment control loop are in same-phase short circuit and then are connected with a load; according to the utility model, through a normally open / normally closed switching control principle of the change-over switch and the intermediate relay, rapid switching of a main loop and a standby loop is realized, and fault processing time is reduced.

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 present application discloses a method and device for processing network services. The method includes: obtaining first configuration information corresponding to the current network service to be issued; issuing the first configuration information to the main device in the target group, and storing the first configuration information in the persistent database of the backup device in the target group; receiving the status information corresponding to the main device fed back by the target cluster, and suspending the configuration information issuance operation to the main device when it is determined that the main device is in an abnormal state according to the status information; obtaining the target backup device in the target group that currently receives the configuration information instead of the main device, and executing the configuration information issuance operation on the target backup device. The present application can realize the permanent storage of network services, and at the same time, combined with the master-slave switching mechanism, ensure that the network services are not interrupted, and can respond to equipment failure problems in a timely manner. It supports users to configure services at any time and improves user experience. For service providers, multi-level protection increases system stability.

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.

Methods of managing a fleet of devices are provided, as are methods for configuring a standby device for a job in a workflow environment, and methods for performing a job in a workflow environment. Device information is analyzed, such as information pertaining to verification systems. Device instructions are sent to various locations on a device network in response to a deviation from a parameter value having been detected. The deviation from the parameter value may correspond to printed media and / or indicia produced by one or more devices. A workflow device and a standby device are provided, and the workflow device sends configuration data to the standby device. The standby device installs configuration data and is introduced into the workflow environment.

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 present invention discloses a data twin-driven production equipment layout control system and method, which relates to the technical field related to control systems, including: identifying the fault probability of multiple production line nodes and generating multiple node fault probabilities. Performing node importance analysis and establishing multiple node importance indicators. Determine the first node, obtain real-time equipment layout information, extract the corresponding first local equipment layout information, and determine whether a backup equipment switching mechanism is included. If not, perform mobility backup switching analysis on the first node and establish a first equipment layout optimization plan. Input the first equipment layout optimization plan into the twin production line for switching simulation and generate a switching reliability index; if the switching reliability index is less than the preset index, use the first equipment layout optimization plan to control the equipment layout. It solves the technical problem that the production equipment layout control method in the prior art is difficult to promptly and effectively realize the rapid switching and access of backup equipment after a fault occurs.