472 results about "System protection" patented technology

The invention discloses a network line intelligent operation and maintenance monitoring management system and method. The method comprises the steps that an intelligent network monitoring and optimizing system regularly collects network equipment information through a protocol, and a monitoring agent collects server and machine room environment data; processing data in real time by adopting distributed storage and a stream processing framework; predicting a network fault by adopting threshold monitoring and a machine learning model, and identifying a bottleneck and scheduling resources based on flow analysis; in combination with deep packet inspection and an AI algorithm, network traffic is monitored in real time, security threats are identified, and IPS system protection is deployed; a repair operation is automatically triggered through a self-healing strategy, and backup resources are started; the AI engine analyzes historical and real-time data, generates network topology and link state visual content, and automatically generates reports, optimization and decision support; according to the intelligent operation and maintenance monitoring management system and method for the network line, a fault tree analysis and decision support system is introduced, and a plurality of fault reasons are intelligently analyzed and repair measures are automatically executed.

The invention discloses an intelligent control system for a current transformer, and particularly relates to the technical field of power system monitoring, which comprises a fluctuation identification unit, a redundancy acquisition unit, an error fitting unit, a protection delay unit and a fault response unit, realizes real-time identification and classification of current fluctuation, and has standby path high-speed sampling and fusion signal construction capabilities. The fluctuation trend is judged through error regression, a protection strategy is dynamically set, response is delayed to avoid misoperation, finally, a high-level protection instruction is triggered and a fault event is output when offset overruns or alignment fails, and the data accuracy and the system response stability in the power supply switching process are guaranteed; according to the method, accurate identification of current fluctuation is realized through multi-dimensional feature extraction, data reliability is enhanced by using redundant sampling and error fitting, and by combining delay control and a hierarchical response mechanism, the risk of misoperation is effectively reduced, the fault judgment accuracy and the system protection stability are improved, and the method is suitable for a complex power supply switching scene.

The invention provides a big data bamboo tableware manufacturing system based on production process monitoring, and relates to the field of intelligent detection systems.The big data bamboo tableware manufacturing system comprises an acquisition module, a prediction module, a preliminary distribution module, a disturbance response module, an optimization decision module and an abnormity self-inspection module. A dynamic stability index is calculated in combination with a dynamic image sequence under disturbance response, a rejection target is judged through an optimization decision-making module after scores are fused, a Bayesian method is introduced in the optimization process to dynamically adjust multiple decision-making parameters, a rejection action instruction is generated in real time, and an abnormity self-checking module monitors the rejection rate and score stability. Software and hardware signals are combined to realize multi-level fault diagnosis and system protection control; according to the invention, high-precision identification and dynamic elimination of bamboo tableware defects are realized, and the automation level and the production reliability are improved.

An automatic control system of an air source heat pump analyzes collected multi-dimensional operation parameters in real time based on a machine learning algorithm, constructs a high-precision thermal load prediction model, predicts thermal load requirements in the future 1-24 hours, controls prediction errors within 5%, and achieves minimization of energy consumption and maximization of heat storage efficiency on the premise of meeting operation constraints. The overall energy consumption is reduced by 15%-25% compared with that of a traditional system, the heat loss is reduced by dynamically adjusting the flow of a heat storage medium and optimizing the thermodynamic process of heat storage and heat release, and the heat storage efficiency is improved by 10%-15%. According to the invention, the advanced machine learning algorithm is adopted through the big data analysis module, the multi-dimensional operation parameters are analyzed in real time, a high-precision thermal load prediction model is constructed, the thermal load demand in the future 1-24 hours is predicted, and the prediction error is controlled within 5%.

The invention provides a photovoltaic power station anti-islanding protection method, device and equipment and a storage medium, and relates to the technical field of power system protection. The method comprises the following steps: controlling an inverter of a photovoltaic power station to continuously inject a disturbance signal into a photovoltaic grid-connected system, and monitoring power measurement data of a grid-connected point after the disturbance signal is injected; when the electric power measurement data exceed a preset threshold range, determining that the electric power measurement data is abnormal; determining an abnormal duration in combination with historical power measurement data; and if the abnormal duration is greater than the abnormal duration threshold, the grid-connected switch is controlled to be switched off, and anti-islanding protection of the photovoltaic power station is realized. According to the method, the disturbance signal is actively injected, the detection sensitivity is remarkably improved, the abnormal duration is analyzed in combination with historical data, the islanding effect and instantaneous fluctuation are effectively distinguished, misjudgment is reduced, the islanding detection precision is remarkably improved, it is ensured that the islanding effect can be recognized and processed timely and accurately, and the islanding detection efficiency is improved. And the safety and the reliability of the operation of the photovoltaic power station are further enhanced.

A protective case and mounting system for a handheld electronic device is provided. The protective case can include a removable mounting system comprised of an interlocking member and a plurality of mounting bases. The protective case may further include a non-slip member to prevent the device from slipping on a surface and a magnet for attaching the device to a magnetic surface.

The invention discloses a hybrid algorithm protection-based system, a protection method, a BIOS (Basic Input / Output System) and a computer, the system comprises a core code module, and the core code module is configured to store and / or load a core code of the system; protecting the core code by adopting a first protection strategy, wherein the first protection strategy comprises the following steps: calculating an encrypted signature value of the core code by adopting a first encrypted signature algorithm to obtain an original first encrypted signature value; performing digital signature on the original first encrypted signature value by adopting an RSA private key to generate original signature data; encrypting the original signature data by adopting a first symmetric encryption algorithm to generate an encrypted original check code; and storing the original first encrypted signature value and the original check code in a first storage area, wherein the first storage area is a secure storage area. The safety of the system can be improved.

The invention relates to the technical field of power system protection, in particular to a high-temporal-spatial-resolution power carbon emission factor calculation method and system and a readable storage medium. The method comprises the following steps: extracting entities and relationships from an electricity-carbon document to form an electricity-carbon triple, designing an electricity-carbon table data extraction method based on a regular expression for an electricity-carbon table, and constructing an electricity-carbon knowledge graph according to the obtained entities, relationships and attributes; then regarding a given question and an answer corresponding to the question as a sequence, designing an electric power carbon emission data retrieval method by combining distance measurement query based on a sequence matching idea and a bidirectional attention mechanism, and realizing discovery of a target electric power carbon entity and an electric power carbon attribute from an electric power carbon field knowledge graph; further generating a corresponding calculation graph, and according to the topological sorting of the calculation graph, calling related formulas in an electric carbon formula library to complete calculation, so as to obtain a regional direct carbon emission factor; and finally, according to an electric power calling-in relation in the electricity-carbon knowledge graph, performing correction on the basis of the regional direct carbon emission factor to obtain a regional average carbon emission factor considering electric power calling-in. The invention aims to solve the problem of how to improve the accuracy of power carbon emission factors.

A protective case and mounting system for a handheld electronic device is provided. The protective case can include a removable mounting system comprised of an interlocking member and a plurality of mounting bases. The protective case may further include a non-slip member to prevent the device from slipping on a surface and a magnet for attaching the device to a magnetic surface.

The invention relates to an energy storage system protection method and device, an energy storage system, equipment and a storage medium. The method comprises the following steps: acquiring a first communication state from a monitoring background to a system controller in the energy storage system, a first communication state from each battery management controller to the monitoring background, and a first communication state from each battery management controller to the monitoring background through the system controller; if at least one first communication state indicates that the energy storage system has a communication fault, executing a processing action corresponding to the communication fault; wherein the processing action comprises stopping the operation and maintaining the current state. According to the invention, the risk of information loss can be reduced, and the stability and reliability of the energy storage system are improved.

The invention discloses a flexible direct current power grid wide-area safety protection method and system with accessible network construction equipment, belongs to the field of multi-terminal flexible direct current system protection, and solves the problems that an existing multi-terminal flexible direct current system is complex in protection process, difficult to apply and the like. The flexible direct current power grid comprises a flexible four-end flexible direct current system, two adjacent current converters in the four-end flexible direct current system are connected to form a direct current line, and each direct current line comprises a positive electrode line and a negative electrode line. The method comprises the steps that after a fault occurs, currents of multiple sampling points at the two ends of a positive line and a negative line in each direct-current line in the flexible direct-current power grid are collected, and transverse differential current mutation coefficients of the corresponding sampling points at the two ends of the corresponding positive line and the negative line are obtained through processing; obtaining transverse differential current abrupt change coefficients of the two ends of the corresponding direct-current line according to the transverse differential current abrupt change coefficients of the multiple sampling points of the two ends of the positive line and the negative line in each direct-current line; and according to the transverse differential current abrupt change coefficient of the two ends of each direct current line, whether the corresponding direct current line breaks down is judged, and if yes, fault protection is started.

The invention relates to the technical field of communication equipment operation and maintenance, in particular to a serial port equipment firmware upgrading method and system. The serial port equipment firmware upgrading method comprises the steps that an upgrading task instruction issued by a remote management platform is received, and after equipment identity verification and upgrading file integrity verification are executed, system protection measures are started; creating a security isolation sandbox environment, forbidding a high-risk function module in a script execution environment, and defining addressing parameters of target serial port equipment; standard scripts are loaded, and serial port read-write, file operation and state reporting type security interaction interfaces are injected; calling a mode switching function of the standardized script, so that the serial port equipment is switched to a firmware upgrading mode from an operation mode; cyclically calling a data transmission function of the standardized script to transmit firmware data in blocks, and synchronously implementing timeout monitoring; and after upgrading is completed or abnormal interruption occurs, the security isolation sandbox environment is destroyed, the original business is recovered, and an upgrading result is reported to the remote management platform.

The invention discloses a secure access method and system for an Internet of Things terminal, and relates to the technical field of information security, and the method comprises the following steps: when the Internet of Things terminal executes a key generation operation, firstly, carrying out the real-time monitoring of a generation environment, so as to capture the data information in a key generation process; according to the method, the generation environment is monitored in real time, the data information is obtained, data preprocessing and feature extraction are combined, the key strength is quantified, and the system can recognize and adjust the key which does not meet the safety requirement in time. And when the evaluation result shows that the key strength is insufficient, the system automatically triggers the key to be regenerated and the key length is expanded to ensure that the security standard is met. According to the scheme, the key generation of the Internet of Things terminal can respond to the environment change in real time, the key security is effectively improved, the limitation of a traditional static generation mechanism is broken through, the system protection capability is enhanced, and the security risk is reduced.

The invention relates to the technical field of gas turbines, in particular to a heavy gas turbine safety protection monitoring method and device fused with fuzzy evaluation. According to the heavy gas turbine safety protection monitoring method, on the basis of establishing a heavy gas turbine risk matrix, a multi-factor evaluation model is constructed by fusing with fuzzy comprehensive evaluation, and a heavy gas turbine multi-safety protection strategy is formed by quantifying multi-factor coupling influence and uncertainty and determining risk factor levels; through the heavy gas turbine control platform and the heavy gas turbine protection system platform, strategy-to-logic conversion is achieved, through debugging and iteration, protection and monitoring of the whole gas turbine system are achieved, and operation safety is guaranteed.

The invention provides a power cooperative control method, device and system based on load removal and a medium. The method is applied to a micro-grid configuration flexible interconnection device for micro-grid fault protection. After the fault is positioned, a VSG low-voltage ride-through strategy is adopted to carry out current limiting, an importance quantification model is constructed for loads, and according to a real-time operation condition, a shearable load with the minimum influence on the system is screened to carry out priority removal; and dynamic power transmission adjustment of the flexible interconnection device is synchronously triggered, a micro-grid power flow path is reconstructed, and finally a fault is removed based on a current limiting and directional element protection method. According to the invention, system protection is realized by fusing intelligent load removal and flexible power adjustment, and the fault isolation speed and the stability of the microgrid system are effectively improved.

The invention discloses a submarine observation network power supply system protection method based on traveling wave extreme value time, and relates to the technical field of submarine power grid protection, and the method comprises the steps: determining the layout position of a protection device according to a network structure, a power supply path and node importance, and dividing a system into protection regions defined by adjacent protection devices; voltage signals are collected in real time, first-order differential processing is carried out, and fault occurrence is judged by comparing the voltage change rate with a preset threshold value; recording current traveling wave data before and after the fault and carrying out Gaussian filtering noise reduction; calculating the extreme value time of the traveling wave by using a differential gradient algorithm; comparing the time difference of traveling wave extreme values on two sides of the protection area to judge the fault direction; judging a fault area in combination with the extreme time and a preset threshold value; and when the forward direction criterion and the intra-region criterion are met at the same time, a protection action is triggered. The method has the advantages that high-reliability fault positioning and rapid isolation can still be achieved under the communication failure scene, and the problem of remote fault and high-resistance fault recognition is effectively solved.

The invention discloses an amino mixed fuel explosion characteristic visualization and explosion suppression coordinated regulation and control system and method, and the system comprises an explosion suppression device which is disposed in a combustion chamber and is in communication connection with a holographic monitoring device and an explosion overpressure real-time prediction model. A graded explosion suppression scheme is set according to the safety early warning grade, so that active intervention of explosion suppression intensity and mode matched with combustion or explosion development stages with different intensities in the combustion cavity is implemented. Therefore, visualization of the mixed gas combustion and explosion dynamic process under the multi-parameter coupling condition can be achieved, and the comprehensiveness and reliability of combustion and explosion research are remarkably improved; through real-time monitoring and intelligent prediction of the explosion process, the explosion process in the device can be rapidly started, the explosion suppression response can be optimized, the explosion development can be suppressed, the integrity and operation safety of an experiment system can be guaranteed, and the intrinsic safety and the system protection capability of the experiment process can be effectively enhanced.

An illustrative data storage management system protects data in a replicated multi-node system (“cluster”). The illustrative system creates a new administrative entity (“pseudo-client”) that represents the cluster within the system. The system intelligently performs as an adaptive “set it and forget it” system. Preferences for the pseudo-client, including alternate rules that cover various contingencies in the cluster, need not be reset as the cluster undergoes node failures and / or role changes over time. Rather, the disclosed system adapts, on each successive secondary copy job, to the current configuration of the cluster without requiring a system administrator to provide further input or analysis. This approach ensures that jobs can begin promptly as scheduled or on demand. Component selection is based at least in part on geography / zone and / or network topology considerations, which improves the likelihood of job completion and success, and RPO / RTO service levels are more likely to be met.

The invention discloses a protection setting calculation and optimization method based on an intelligent power plant management platform, and relates to the technical field of power system protection. By constructing a platform and equipment communication link, integrally collecting and preprocessing internal and external parameters, and dynamically updating topology and model parameters in combination with a switch state, the problem that a traditional static model is difficult to adapt to operation changes is solved, the timeliness and accuracy of the model are improved, a multi-scene database is constructed in a classified mode, labels are labeled, and the efficiency is improved. Fault current distribution is accurately calculated, constant value adaptability verification is carried out, constant value optimization is carried out in combination with a multi-objective optimization algorithm and sensitivity analysis, limitation of single-scene constant values is avoided, constant value conflicts under different scenes are reduced, reliability of initial constant values is guaranteed, sensitivity analysis is superposed, it is ensured that the constant values are still reliable during parameter fluctuation, and the reliability of the constant values is improved. The risk of protection operation refusal and misoperation is reduced, a constant value is issued, the device state is monitored in real time, evaluation indexes are calculated, the constant value is controllable in the whole process, and stable operation of the device is guaranteed.

The invention discloses a power distribution network short circuit fault diagnosis method and device based on a heterogeneous graph attention network and a medium, and belongs to the field of power system protection and control, and the method comprises the steps: building a heterogeneous power distribution network topological graph structure, and measuring the electric data of each node in the power distribution network topological graph; preprocessing the measured electric data and constructing a fault data set; constructing a power distribution network short-circuit fault diagnosis model based on the heterogeneous graph attention network; defining a training hyper-parameter and a loss function of the power distribution network short-circuit fault diagnosis model, and training the power distribution network short-circuit fault diagnosis model; and when a power distribution network fault occurs, preprocessing real-time measurement data, and inputting the data into the optimal power distribution network short-circuit fault diagnosis model to obtain prediction results of a node fault state, a fault category and a fault phase. According to the method, the fault of the power distribution network can be accurately and effectively diagnosed under the condition of distributed power supply deployment, and the method has relatively high diagnosis accuracy and robustness.

An illustrative data storage management system comprises a management database that stores administrative preferences and system configurations, as well as results and / or statistics of completed secondary storage operations, i.e., information needed by the system to protect customers' data and to track and recover the protected data, including secondary copies such as backup copies, archive copies, etc. The disclosed data storage management system is configured to protect its own system data subject to a very aggressive (short) Recovery Point Objective (RPO), by using an innovative infrastructure that enables the system's storage manager to fail over to any number of other failover destination storage managers, each one comprising a destination management database. An illustrative database granularly tracks whether each and every transaction log file has been successfully applied to each and every destination management database to synchronize with the source management database.

The utility model relates to the technical field of power system protection, in particular to a thermal relay power automatic testing device, which comprises a working platform, a first conveying mechanism longitudinally fixed on the working platform and used for conveying a thermal relay, and a second conveying mechanism transversely connected on the working platform and used for transferring the thermal relay, the working platform is further provided with a current and voltage testing mechanism, a heating overload testing mechanism and a cooling mechanism, the current and voltage testing mechanism, the heating overload testing mechanism and the cooling mechanism are sequentially arranged on one side of the second conveying mechanism from left to right, and the current and voltage testing mechanism, the heating overload testing mechanism and the cooling mechanism are electrically connected. According to the utility model, the first conveying mechanism, the second conveying mechanism, the current and voltage testing mechanism and the heating overload testing mechanism are arranged, so that automatic testing of power characteristics of the thermal relay is realized, the testing efficiency is improved, personal errors are reduced, and the accuracy and reliability of testing results are ensured.

A system and method for detecting, reporting, removing, consulting, analyzing, and revealing counterfeit and fraudulent products and content on the web. The system comprises various modules that use computer vision, machine learning, natural language processing, neural networks, rule-based algorithms, DMCA notices, legal action, IP consulting, data analysis, visu¬ alization, performance analytics, and IP strategy to search, identify, compare, extract, report, take down, de-index, verify, monitor, track, and prevent counterfeiting and fraudulence in online mar¬ ketplaces, platforms, and applications. The system protects the rights and interests of brand owners, content owners, and NFT owners from illicit activities on the web. The system provides a comprehensive and effective solution for combating counterfeiting and fraudulence on the web.

The invention relates to the technical field of central differential adjustment, in particular to a torque distribution optimization-based central differential dynamic adjustment method, which comprises the following steps of: predicting a driving state based on a vehicle dynamics model and generating a feedforward torque distribution reference instruction; monitoring the rotating speed difference of front and rear drive axles in real time and generating a feedback torque correction instruction; the feedforward instruction and the feedback instruction are superposed to generate a total torque distribution instruction, and a central differential mechanism is controlled to execute inter-axle torque distribution; when it is detected that an individual wheel slips, the control system cooperates with an electronic stability program controller to work, and a total torque distribution instruction is dynamically adjusted by interacting a cooperation request and braking state information so as to achieve accurate distribution of driving torque to the best attached wheel; and meanwhile, the temperature of the multiple clutches is monitored in real time, predictive thermal management control or system protection strategies are executed in a graded mode according to temperature threshold values, and the reliability and durability of system work are ensured.

The invention relates to the field of Linux operating systems, and provides a system hierarchical isolation method and device, equipment and a storage medium. The method comprises the steps that when a temporary root file system configures a system read-write partition, the system read-write partition and a system root partition are mounted to a temporary running directory, and the two partitions are stacked and mounted to a temporary root directory; mounting the temporary partition of the system to the temporary running directory, and jointly mounting and integrating the three partitions again; finally, the mounting points of the three partitions are migrated from the temporary running catalog to the real running catalog, and multi-level system protection and performance optimization are achieved. A root partition of the basic system is kept in a read-only state through a layered isolation mechanism, so that the damage of service operation to a core file is avoided; the temporary data read-write is accelerated by using the temporary running directory, and the read-write operation frequency of a physical disk or a bottom storage device is reduced; the read-write partition of the system independently stores modified data during operation, and it is ensured that the data are not lost after restarting.

The invention discloses a basic input and output system protection method, device and equipment and a readable medium, which are applied to the technical field of computers, and comprise the following steps: monitoring a power-on pin and return information of a basic input and output system, and determining a starting process state of the basic input and output system; if the state of the starting process is abnormal, performing a read-write test on a storage medium of the basic input and output system, and determining an abnormal reason; if the exception reason is firmware data exception, recovering the basic input and output system through the storage medium of the double basic input and output system and the substrate management controller. According to the invention, various states of the basic input and output system in the starting process can be identified; and in the case of exception, automatically determining the reason for starting exception of the basic input / output system through a read-write test, and realizing an automatic recovery mechanism when firmware data exception occurs in the basic input / output system. And the protection capability and the abnormity self-repairing capability of the basic input and output system are integrally improved.

The invention relates to the technical field of protection circuit breakers, in particular to a multifunctional power system protection and control circuit breaker device which comprises a load monitoring module, a load distribution optimization module, a thermal stability analysis module, a response adjustment module and a performance verification module. According to the invention, comprehensive analysis is carried out by combining multiple items of monitoring data, the accuracy of current and voltage abnormity identification is improved, wrong breaking and excessive response are avoided, the system safety is guaranteed, and the utilization rate and energy efficiency of equipment resources are improved based on real-time power distribution and equipment limit during load distribution optimization. According to temperature rise control, load distribution is dynamically adjusted, equipment damage caused by overheating is prevented, operation stability is enhanced, a real-time response adjusting mechanism ensures flexibility and adaptability of power distribution, energy loss in the operation process is reduced, and meanwhile, the overall operation efficiency of a power system is improved through efficient monitoring.

The invention discloses an evaluation method and device for a breaking result of a high-voltage SF6 circuit breaker, electronic equipment and a storage medium, and belongs to the field of power system protection, and the method comprises the steps: obtaining a reference arc extinguishing peak voltage and a reference contact opening distance of the high-voltage SF6 circuit breaker; obtaining a to-be-measured arc extinguishing peak voltage and a to-be-measured contact opening distance of the high-voltage SF6 circuit breaker; calculating the ratio of the to-be-measured arc extinguishing peak voltage to the preset power of the to-be-measured contact opening distance, and generating a to-be-evaluated index value; calculating an on-off evaluation critical value according to the reference arc extinguishing peak voltage, the reference contact opening distance and a preset critical value coefficient; and judging whether the to-be-evaluated index value is greater than the cut-off evaluation critical value, if so, judging that the predicted cut-off result is successful, and if not, judging that the predicted cut-off result is failed. Therefore, by implementing the invention, the problem that electric breakdown failure and successful breaking cannot be distinguished due to similar voltage characteristics in the prior art can be solved.

The invention discloses an AC-DC power grid intelligent scheduling and protection control method, system and device and a medium, and belongs to the technical field of intelligent power grid operation control, and the method comprises the steps: constructing an AC-DC cooperative scheduling model, dynamically predicting new energy output and load demands, and generating a coordination instruction; establishing a multi-stage linkage protection framework based on a scheduling result, and defining alternating current and direct current system protection collaborative logic; integrating the heterogeneous operation data of the AC / DC system to construct a unified analysis model; a dynamic power flow distribution strategy is optimized in a rolling mode through a deep reinforcement learning algorithm; according to the real-time operation state, dynamically correcting protection parameters and triggering edge side fault quick response; and a closed-loop technical link is formed, and a preorder result drives a subsequent action, so that self-adaptive coordination of scheduling, protection and control is realized. According to the invention, through an AC / DC cooperative scheduling and multi-stage protection architecture, in combination with a deep reinforcement learning algorithm and a dynamic protection mechanism, a "scheduling-protection-control" three-dimensional decision-making system is constructed, and the stability of a power grid is improved.

The invention belongs to the technical field of ship power engineering, and particularly discloses an external steam supply system for a steam turbine thermal state test, which comprises a gas supply unit, a steam-water separation unit, a temperature and pressure reduction unit, an exhaust unit and a gas utilization unit, the steam-water separation unit and the gas supply unit are connected through an initial gas supply pipeline; the steam-water separation unit is connected with the gas utilization unit through a gas utilization pipeline, and the temperature and pressure reduction unit is arranged on the gas utilization pipeline and is close to the gas utilization unit; the exhaust unit is connected in parallel with the gas utilization unit through an exhaust pipeline; the steam dryness is guaranteed through the steam-water separation unit, accurate control over terminal parameters is achieved through the temperature and pressure reduction unit, flow adjustment and system protection are provided through parallel exhaust of the exhaust unit, the steam supply problem of a steam turbine thermal test in the ship mooring test stage is successfully solved, and the steam supply efficiency is improved. And the safety of the steam turbine is effectively protected.