23results about How to "Prevent rejection" patented technology

The invention discloses a primary and secondary collaborative planning method based on a novel power distribution system, and relates to the technical field of power system optimization, and the method comprises the following specific steps: constructing a power distribution network model and fault feature analysis, designing an adaptive protection mechanism, realizing a rapid fault processing mechanism, and performing primary and secondary system collaborative planning. And implementing and verifying: implementing a planning method in the power distribution network, installing and debugging related equipment, carrying out field test, and verifying the effectiveness of an adaptive protection mechanism and a fault rapid processing mechanism, the running state of the power distribution network is monitored in real time, and the protection constant value is automatically adjusted according to the monitored fault characteristic parameters, so that the reliability of the power distribution network is improved. Therefore, the adaptive capacity of the system to a complex and changeable operation environment is remarkably improved, the dynamic adjustment mechanism can quickly respond to dynamic factors of new energy output fluctuation and load change, it is ensured that a protection strategy is always matched with the operation state of the system, and the problem of protection maloperation or operation refusal caused by rigid setting of a fixed value is effectively prevented.

The present invention discloses a short-circuit fault judgment method and device applicable to the load side of the busbar protection system. By collecting the current, busbar voltage and busbar system action signal on the load side of the busbar protection system, judging by the change of current before and after the action of the busbar protection system, judging by the protection start and protection action respectively, and assisting the judgment with the busbar protection system action signal and the re-pressure lock opening condition, the protection function of quickly judging the short-circuit fault is realized. This technical solution can accurately identify the fault after the busbar voltage maintenance system is actuated, and complete the judgment within 40ms, solving the problem of protection refusal to operate due to the reduction of short-circuit current on the load side protection after the busbar voltage maintenance system is actuated, and is suitable for various operating environments where busbar voltage maintenance systems are installed, such as industrial enterprises.

The invention discloses a residual current protection method and a residual current protection device. When the effective value of the residual current is greater than a current threshold value, the high-frequency and low-frequency energy ratio of the residual current is used as a protection criterion and compared with the protection threshold value, so that the high-frequency component of the residual current caused by human electric shock can be identified, thereby improving the sensitivity of the protection criterion to human electric shock and the reliability of the residual current protection, avoiding false operation and refusal of the protection action, and distinguishing between human electric shock faults and general leakage faults, and judging whether to cut off the line or send an alarm signal according to the fault type, thereby solving the technical problems that the existing residual current protection device determines whether the protection is to be actuated based on whether the effective value of the residual current detected in a low-voltage power supply circuit is greater than a certain set value, the residual current protection device is easily affected by the three-phase unbalanced leakage current and causes false operation and refusal to operate, and the human electric shock fault and general leakage fault cannot be distinguished, thereby reducing the reliability of the system.

The present invention discloses a method for selecting sensors based on sensor data reconstruction technology, comprising: selecting a target sensor set from candidate sensors according to sensor data feasibility, and / or sensor failure probability, and / or sensor importance. Furthermore, a sensor selection device, a sensor data reconstruction method and a system based on sensor data reconstruction technology are also provided. The method can select a reasonable sensor application range that requires data reconstruction to meet the limited computing resources of the data computing and analysis system and the safety of the nuclear power plant.

The present application belongs to the technical field of power equipment monitoring and protection, and discloses a power distribution network transformer oil temperature protection threshold self-learning method and system. The method comprises: acquiring multi-dimensional state data of the power distribution network transformer in real time; inputting the data into a reinforcement learning model, and obtaining an oil temperature protection threshold adjustment amount through decision-making based on a state space, an action space and a reward function; wherein the state space is constructed based on the multi-dimensional state data, the action space corresponds to the oil temperature protection threshold adjustment amount, and the reward function is a weighted sum of safety indexes, economy indexes and stability indexes; obtaining the oil temperature protection threshold adjustment amount output by the model at the current time to update the oil temperature protection threshold; and when the real-time acquired oil temperature of the power distribution network transformer exceeds the updated oil temperature protection threshold, performing a protection action. The method provided by the present application can achieve adaptive optimization of the oil temperature protection threshold while taking into account equipment safety and operation economy, and effectively improve the accuracy and adaptability of equipment protection.

The invention discloses a relay failure rate prediction method based on an ARMA model. The method comprises the following steps: Step 1, collecting data; the method comprises the following steps: collecting relay fault rate data and carrying out stability verification, if the relay fault rate is not stable, carrying out differential processing, and then calculating a relay fault rate autocorrelation coefficient # imgabs0 # and a partial autocorrelation coefficient # imgabs1 #; 2, a model is established, and parameters are calculated; building an ARMA (p, q) model of the relay failure rate, and calculating an autoregression order p and a moving average order q of the model; and step 3, predicting the fault rate of the relay. The operation state of the relay can be detected and evaluated, equipment damage can be prevented, the operation reliability of a secondary circuit can be improved, and operation refusal or maloperation of a relay protection device can be prevented.

The invention discloses a constant value remote dynamic operation and maintenance system and method, and belongs to the technical field of intelligent substation operation and maintenance, and the system comprises a cloud cooperative control unit, an edge agent unit and a terminal constant value processing unit which construct a cooperative operation and maintenance architecture through a communication network. Wherein the cloud cooperative control unit is deployed in a regional regulation and control center, the edge agent unit is deployed in a field station, and the terminal constant value processing unit is integrated in a relay protection device. Constant value remote management is realized through a cloud side-end collaborative architecture, operation and maintenance personnel do not need to be on-site on duty, the problem of time consumption of going back and forth on site in a traditional mode is solved, and manpower and traffic costs are reduced; the whole course of constant value modification, checking and tracing is automatic, manual intervention is reduced, the single constant value adjustment period is shortened from several hours to the minute level, and the operation and maintenance response speed is improved.

The application relates to the field of photovoltaic power generation and discloses a photovoltaic direct-current arc fault detection method, a photovoltaic direct-current arc fault detection device and a medium, which comprises the following steps: collecting a line current signal of a photovoltaic power generation system to be detected, performing time domain processing on the signal to obtain a time domain signal, meanwhile, performing calculation on the time domain signal to obtain a signal effective value. In addition, performing frequency domain processing on the time domain signal to obtain a frequency domain signal, and modifying a frequency domain comparison threshold value according to the signal effective value. Finally, determining whether an arc fault occurs according to the obtained signal effective value, frequency domain signal and frequency domain comparison threshold value. Thus, the frequency domain comparison threshold value is modified in real time through the collected time domain signal, and the occurrence of a refusal action and a false action is avoided. In addition, the direct-current arc fault is detected in combination with the signal effective value, the frequency domain signal and the frequency domain comparison threshold value, low reliability caused by comparison between the frequency domain signal and the frequency domain threshold value is avoided, and the accuracy of direct-current arc fault detection is improved.

The invention provides a detection circuit, a chip and a detection method, and is suitable for the technical field of integrated circuits. The detection circuit comprises a relay outlet loop which comprises a relay and is used for driving the relay to execute a closing action or an opening action under the control of a tripping power supply and a first driving signal; the recovery circuit is electrically connected with an outlet loop of the relay and is used for recovering the coil voltage of the relay to obtain a first recovery signal; and the main control loop is used for controlling the tripping power supply to power on the relay outlet loop, outputting a first driving signal to the relay outlet loop, and detecting the action of the relay based on the first recovery signal. According to the embodiment of the application, the action of the relay can be detected, that is, the action of the CPU trip outlet can be monitored, and by controlling and stoping the outlet, the occurrence of action refusal and maloperation of the outlet can be effectively avoided, and the stability of the action of the outlet is improved.

The invention relates to the technical field of power systems and automation thereof, and discloses a power grid operation data real-time acquisition and decision control method, which comprises the following steps: an off-line modeling stage: executing off-line collaborative modeling, generating model parameters, presetting a control strategy set and a threshold value by a central platform layer, and sinking and deploying to an edge domain control layer; in a real-time acquisition and monitoring stage, an edge domain control layer performs real-time acquisition of power grid operation data, operates model parameters to calculate a transient stability margin and identifies a transient instability mode; in the decision control and response stage, the edge domain control layer executes local transient control according to the margin and reports a feedback packet, and the center platform layer receives the feedback packet and executes center side response and closed loop iteration. According to the method, offline modeling and real-time decision execution of an edge domain control layer are combined, a layered and collaborative control closed loop is constructed, and rapid monitoring, accurate control and self-adaptive optimization of the transient events of the power grid are achieved.

The present disclosure provides a game interaction method and device, an electronic device, and a storage medium, and relates to the field of game technology. The game interaction method comprises: obtaining biological activity data of a target user collected by a wearable device; determining the current activity state of the target user according to the biological activity data; in response to the current activity state of the target user being a preset state, controlling a game virtual character to perform a plot interaction operation with the target user corresponding to the activity state of the target user. The present disclosure can effectively improve the efficiency of game information transmission and the matching degree of information content.

This invention relates to the field of electronic circuit breaker protection technology, specifically to an intelligent overload protection and fault diagnosis method and device for electronic circuit breakers. The device includes: a multi-source data acquisition unit, an edge processing unit, a protection drive execution unit, a human-machine interaction unit, a cloud interaction unit, and a power management unit. This invention solves the problem of existing electronic circuit breaker protection schemes considering only a single factor. By using a dynamic thermal balance equation and a modified inverse-time action expression, it comprehensively considers the effects of ambient temperature, conductor aging, power grid harmonics, and load type, reducing protection action errors. In nonlinear load scenarios, the protection action error is small, avoiding false tripping or failure to trip, and balancing speed and power supply selectivity.

The present application provides an endogenous chimeric antigen receptor (ECAR). An antigen-binding domain in the endogenous chimeric antigen receptor is an endogenous protein molecule. The engineered immune cells in the present invention can kill a variety of cells specifically and selectively.

The present invention discloses a self-correction method for collecting execution unit devices, wherein the messages sent by the line protection device and the component protection device are respectively input into the first CPU plug-in and the second CPU plug-in; the messages in each plug-in output the messages containing Ethernet CRC via the MAC of Ethernet, and the messages are respectively transmitted to N submodules of FPGA; each submodule first adds the checksum containing Ethernet CRC to the message, performs CRC check on the message, and transmits the message that passes the check to the core corresponding to the MCU; each core performs checksum check and analysis on the message, and then performs startup and exit logic operations to generate startup state and exit state messages respectively; the N-to-two modules respectively obtain the messages output by each core, determine the final startup state and exit state, and respectively control the startup relay of the DI plug-in and the exit relay of the DO plug-in. The present application can avoid unplanned shutdown of power equipment.

This invention discloses a multi-branch area protection method for a DC power supply system in extreme scenarios, comprising: S1: determining the main branch unit from each branch unit in the submarine DC power supply network, deploying a measuring device on the main branch unit, and defining the area between every two adjacent main branch units as the protection area; S2: after determining that a fault has occurred, collecting data after the fault. T w Internal main branch unit m and n Initial fault current IFC: i mn and i nm ,in i mn express m Flow direction n The initial fault current, i nm express n Flow direction m The initial fault current was calculated separately. i mn and i nm The average value of the derivative is used to determine the protection zone where the fault is located based on a preset average value threshold; S3: Calculation i mn and i nm The trend of the derivative, and according to i mn and i nm The initial rise time and rise amplitude of the derivative are used to calculate the fault probability, and the fault location is determined based on the trend and fault probability.

The invention relates to a control method for preventing equipment reliability from being affected by energy storage converter DSP faults, and belongs to the technical field of energy storage converters, a DSP and FPGA combined controller composed of a CPU 1 and a CPU 2 is adopted, and the following steps are executed: heartbeat packets are sent between the CPU 1 and the CPU 2 and verified, heartbeat packets are sent between the CPU 1 and the FPGA and verified, and the heartbeat packets are sent between the CPU 2 and the FPGA and verified. When the CPU 1 is judged to be in fault, at least one of the pulse enable switches 1, 2 and 3 is turned off by the FPGA, when the CPU 2 is judged to be in fault, one of the pulse enable switches 1 and 3 is turned off by the CPU 1 or the FPGA, so that at least one component of the alternating-current relay, the IGBT and the direct-current relay is turned off, and when the FPGA is judged to be in fault, the pulse enable switches 1, 2 and 3 are all turned off. The advantages of a multi-core heterogeneous platform are fully utilized, maloperation and refusal operation caused by the fact that a single intelligent device controls the relay are avoided, and the equipment reliability is improved.

This invention discloses a method and application for rapidly preparing humanized collagen using umbilical cord mesenchymal stem cell material, belonging to the field of biomaterial preparation technology. The key technical points of the method are as follows: S1, processing and passage-expanding umbilical cord tissue; S2, seeding the expanded umbilical cord mesenchymal stem cell suspension into a culture dish, then adding DMEM / F12 medium containing platelet lysis buffer for culture, followed by induction medium to obtain extracellular matrix; S3, enzymatically hydrolyzing the extracellular matrix, centrifuging the hydrolysate to obtain the supernatant, adjusting the pH, allowing it to stand, centrifuging again to obtain the precipitate, reconstituteing the precipitate, purifying it, centrifuging again, and then lyophilizing it; S4, forming the formulation to achieve efficient secretion and self-assembly of collagen, while utilizing extracellular matrix components (such as fibronectin and laminin) secreted by umbilical cord mesenchymal stem cells to assist collagen in forming an active product with a natural triple helix structure.

This application provides a power system fault response method, apparatus, equipment, medium, and program product, relating to the field of power system technology. The method acquires first electrical quantity data of the target power system at the current moment, and based on this data, determines a target characteristic frequency corresponding to the first electrical quantity data and related to the volatility of renewable energy generation used to provide power to the target power system. Further, based on the target characteristic frequency and the rate of change of the electrical quantity, it determines the fault probability of the target power system at the current moment. Then, based on the fault probability and an adaptive threshold, it determines whether a fault has occurred in the target power system, and executes protection actions when a fault is determined. By comprehensively considering the impact of the volatility of renewable energy generation on the target power system, the method can improve the accuracy of fault detection in the target power system, avoid maloperation and failure to operate of relay protection devices, and thus ensure the safe and stable operation of the target power system.

The invention discloses a closed-loop distribution line single-phase grounding protection method, system and device and a medium, and belongs to the technical field of power system operation and maintenance, and the method comprises the steps: collecting a zero-sequence voltage and a zero-sequence current, and judging whether a line fault exists or not; acquiring three-phase voltage data and three-phase current data in a first time window after detecting that a line fault exists, and extracting a zero-sequence voltage transient component and a zero-sequence current transient component; calculating a zero-sequence voltage phasor and a zero-sequence current phasor through frequency domain transformation; determining a phase difference between the zero-sequence voltage and the zero-sequence current, and judging a fault direction; and controlling to send a control signal to the opposite-end protection device according to the fault direction. On the premise of not depending on the power frequency steady state quantity, the fault direction is rapidly and accurately recognized, accurate positioning and isolation of a fault section are achieved through a double-end cooperation mechanism, and therefore the problems that single-phase grounding protection of a net structure is low in sensitivity and poor in selectivity are solved.

The invention provides a voiceprint anomaly recognition method and system based on dynamic threshold and multi-feature fusion, and relates to the technical field of audio signal processing, mode recognition and artificial intelligence. The method aims at solving the problem that in the prior art, a judgment threshold cannot adapt to environment changes and registration model credibility changes at the same time. The method comprises the following steps: acquiring a voiceprint audio to be detected and a registered voiceprint library; extracting and fusing at least two different types of acoustic features to generate fused features; inputting the fusion feature into a deep neural network model to generate a voiceprint embedding vector; calculating a similarity score; determining a dynamic threshold according to the at least one environment quality index of the voiceprint audio to be detected and the at least one data quality index of the registered voiceprint library; and comparing the similarity score with a dynamic threshold value, and outputting a judgment result. The invention further provides a system for executing the method. According to the scheme, the judgment standard can be adaptively adjusted, and the accuracy and robustness of voiceprint recognition are comprehensively improved.

This utility model discloses a closed-type high-voltage drop-out fuse, including an insulator, an upper contact seat, a lower contact seat, and a fully enclosed fuse tube. The insulator has an inlet socket and an outlet socket with insulating shells at both ends, which are integrally encapsulated with the insulator. The upper and lower contact seats are integrally encapsulated with the insulator and covered with an insulating material layer. The main fuse wire in the fuse tube is wound around the outer surface of a ceramic quartz column, and quartz sand is filled between the epoxy tube and the ceramic quartz column. This utility model achieves complete insulation and enclosure of all conductor structural components of the high-voltage fuse. Simultaneously, the fuse tube also adopts a fully enclosed structure, achieving overall complete insulation to avoid short circuits or grounding accidents caused by external foreign objects, and preventing explosive ejection when the fuse drops.

This invention relates to the field of electrical communication transmission technology, specifically disclosing an intelligent management and control method and system for power differential protection channels based on OLP. The method includes: collecting optical layer and environmental parameters of the primary optical fiber within a sliding time window, calculating a health degradation index, and triggering backup screening if the index continuously exceeds the warning baseline or shows a monotonically increasing trend; periodically injecting optical probe test frames into the backup optical fiber to construct a transmission quality score vector, comparing it with the admission benchmark vector to screen switchable backup optical fibers; further employing grey relational analysis to determine the target switching fiber and generate a switching signal; responding to the switching signal, synchronously freezing the differential calculation engine and expanding the cache before execution of the switch, adjusting the sampling synchronization alignment window according to the time delay difference between the primary and backup optical fibers after the switch, and restarting the differential calculation after synchronization is restored. This invention achieves proactive fault prediction, quantitative selection of backup channels, and coordinated smooth switching of protection devices.

The invention provides a fraud score threshold adjustment method and device, and the method comprises the steps: obtaining a fraud score through an anti-fraud model, and carrying out the risk decision based on the fraud score and a rejection threshold in the anti-fraud model; calculating the proportion of fraudulent customers in the sample to obtain the black concentration of the sample; taking the reference black concentration corresponding to the rejection threshold value and the sample black concentration belonging to the same distribution as an original hypothesis, if the original hypothesis is not established, when the reference black concentration corresponding to the rejection threshold value is greater than the sample black concentration, modifying the rejection threshold value based on the lower limit of the current scoring range raised by one level, otherwise, the rejection threshold is modified based on lowering the lower limit of the current scoring range by one level until the original hypothesis is established. In the scheme, the sample black concentration in the adjustment period is calculated, the reference black concentration and the sample black concentration belong to the same distribution as the original hypothesis, and if the original hypothesis is not established, the rejection threshold value is adjusted until the original hypothesis is established, so that the purposes of ensuring that the rejection rate of the anti-fraud model is stable and avoiding rejecting a large number of normal customers are achieved.