84 results about "Preventive control" patented technology

The invention discloses a charging pile liquid cooling three-level leakage prevention and pump obstacle prevention intelligent control method and system, and relates to the technical field of liquid cooling control. The charging pile liquid cooling three-level leakage prevention and pump obstacle prevention intelligent control method comprises the steps that S1, liquid cooling monitoring data are periodically collected, and the liquid cooling monitoring data are preprocessed; s2, judging whether an abnormal period exists or not, and evaluating whether a cooling liquid leakage trend exists or not in combination with real-time liquid cooling monitoring data; s3, performing coolant leakage risk grade evaluation, judging the leakage risk grade in the current abnormal period, and executing a corresponding leakage prevention strategy; and S4, in the execution process of the anti-leakage strategy, the running state of the circulating pump is evaluated, and whether the pump obstacle prevention and control strategy is triggered or not is judged. The problem that thermal runaway is caused by the fact that cooling abnormity is not intervened in time due to the fact that leakage of trace cooling liquid in an existing liquid cooling system is difficult to recognize in time and pump obstacles are difficult to pre-judge accurately is solved.

The invention relates to the field of vehicle control, in particular to a battery cell safety thermal management system for an electric vehicle and an intelligent control method. According to the invention, the differential sensors are arranged in the key area of the battery system and redundancy design is adopted, so that all-directional and multi-dimensional monitoring of the temperature field of the battery is realized; a high-heat scene is pre-judged through an extreme working condition heat production prediction model, a grading early warning mechanism is combined, the heat risk grade, the battery damage stage and the user requirement of a cross-country scene are accurately matched, full-chain protection of prevention, control and emergency is achieved, the influence of excessive intervention on the cross-country performance is avoided, and system safety under the extreme working condition is ensured; the hysteresis of the prediction model is made up through a transient protection mechanism, the prediction lag of the heat production prediction model under the extreme working condition is supplemented through immediate response aiming at the sudden working condition, the thermal runaway risk caused by the time difference of a prediction-execution chain is avoided, and meanwhile, the performance is prevented from being sacrificed due to excessive protection through the strategy of combining short-time redundancy with dynamic falling back.

The invention relates to the technical field of power grids, and discloses a power station resonance multi-modal monitoring and distributed control method for path aggregation impedance, and the method comprises the following steps: constructing a high-dimensional tensor through obtaining time-varying impedance data of a power station, and carrying out the decomposition to extract a resonance mode; constructing a stable manifold by using modal features, and describing a stable boundary of the system; the resonance risk is quantified by calculating the geometric distance between a future state point and the stable manifold, and finally an optimal preventive control strategy is generated according to a risk assessment result; the system comprises a data acquisition and construction module, a resonance mode decoupling module, a stable manifold construction module, a resonance risk assessment module and a distributed cooperative control module. According to the method, the resonance mode is accurately identified through tensor decomposition, the nonlinear stable boundary is constructed by using manifold learning, the prospective quantitative evaluation of the resonance risk and the intelligent preventive control are realized, and the active safety of power station operation is remarkably improved.

The invention belongs to the technical field of new energy automobile charging equipment, and relates to a charging pile power adaptive adjustment system and method based on temperature feedback, and the method comprises the steps: carrying out the data fusion of a plurality of collected temperature values through employing a Kalman filtering algorithm, and obtaining a target temperature fusion value representing the overall thermal state of a charging pile; the target temperature fusion value is compared with a preset temperature safety threshold value, and the output power of the charging pile is dynamically adjusted according to a comparison result; the future temperature trend is predicted through a charging pile internal temperature prediction model and an air cooling / liquid cooling cooperative temperature adjustment mechanism, and a system can take actions in advance before the temperature does not reach a dangerous threshold but is determined to exceed the standard, so that the passive situation of traditional thermal management is thoroughly changed, real preventive control is realized, and the safety of the system is improved. The output power can be actively reduced when it is detected that the temperature in the pile rises, and overheating damage is prevented; and when the temperature returns to normal, the original power is automatically recovered, so that the reliability and the service life of the charging pile are improved.

The invention discloses a power grid frequency coordinated regulation and control method and device based on coordination of three defense lines, and the method comprises the steps: carrying out the control cost analysis, constructing an interconnected power grid active frequency response model based on the control cost analysis, and building an active frequency response control strategy of coordination of the three defense lines on this basis, wherein the three defensive lines comprise prevention control, emergency control and correction control, and finally, a target function is constructed by taking the minimum total cost of the three stages of prevention control, emergency control and correction control as a target, so that the optimization space for coordinated operation of the three defensive lines for power system frequency stability is improved, and the control target of safety and economy coordination is further realized. The relationship between the control cost and the system frequency safety is coordinated, and the purpose of safe and economic cooperative control of the alternating-current and direct-current hybrid system for the frequency stability problem is achieved.

The invention relates to the technical field of safety evaluation of isolated power supply systems, and discloses a safety evaluation and control method, system and device for an isolated power supply system and a medium. The method comprises the following steps: constructing an N-0 security domain model and an N-1 security domain model of an isolated power supply system based on feeder capacity constraint, main transformer capacity constraint and frequency constraint; solving based on the N-0 security domain model and the N-1 security domain model to obtain a security boundary; acquiring a safety distance between the operation point and the safety boundary; judging whether the operating point is located in a safety domain of the isolated power supply system according to the safety distance; and if not, adopting prevention and control measures to adjust the operation point until the operation point returns to the safety domain of the isolated power supply system. By calculating the safety distance in real time, a dispatcher can monitor the safety state and the safety degree of the operation point, timely take prevention and control measures and adjust the unsafe operation point to the safety state, so that the safety operation level of the isolated power supply system is improved.

The invention belongs to the technical field of energy grid-connected control, and discloses a distributed energy coordinated optimization system which comprises a local layer, a region layer and a master station layer, the local layer is a photovoltaic cluster virtual synchronous machine control process, the region layer is an energy storage active and reactive coordinated regulation process, and the master station layer is a digital twin driven prevention control process. Three-level cooperation of the local layer, the area layer and the master station layer is a three-level cooperation control flow. According to the method, the voltage control performance is remarkably improved, the voltage qualification rate is improved from 82.3% of traditional control to 98.7%, the average daily out-of-limit frequency is reduced from 11.2 times to 0.8 times, the voltage out-of-limit problem under high-proportion photovoltaic access is effectively solved, the GB / T12325-2008 standard requirement is met, the photovoltaic absorption capacity and the equipment economy are greatly improved, the photovoltaic absorption rate is improved from 76.5% to 95.8%, and the method is suitable for popularization and application. The annual power generation income is increased by about 4200,000 yuan according to 100MWp photovoltaic installation calculation, the OLTC action frequency is reduced to 2.1 times per day from 6.3 times per day, the service life is prolonged by 3.8 times, the maintenance cost is reduced by 57%, and compared with traditional capacity increasing transformation, the cost is reduced by 92% by utilizing existing equipment.

The invention provides an anti-collision control method and device for a bearing grinding machine. The method comprises the following steps that the radial real-time position of a grinding wheel of the bearing grinding machine in the radial direction of a workpiece shaft of the bearing grinding machine is obtained; and when the obtained radial real-time position is located in a preset circular ring range with the radial circular ring width d on the radial inner side or the radial outer side of the ferrule located on the workpiece shaft, the radial feeding speed of the grinding wheel is controlled to be reduced to the set speed Vn in the range. According to the anti-collision system, collision between the grinding wheel and the ferrule due to the fact that the radial feeding speed of the grinding wheel is too high can be effectively prevented, the safety of a machine tool in the running process is improved, the grinding machining efficiency is improved, and compared with a good treatment mode after collision of an anti-collision system in the prior art, the anti-collision system has the advantages that the machining efficiency is improved. The control method is preventive control, and the anti-collision effect is better.

The invention relates to a risk early warning method and device based on new energy output fluctuation and a storage medium, which are applied to the technical field of power system dispatching, and comprise the following steps: obtaining the output deviation level of a generator set under a dispatching output plan through historical data, quantifying behavior deviation and incorporating the behavior deviation into a risk model, the risk assessment result is closer to the physical reality and market environment, and the accuracy and reliability of imbalance risk early warning are remarkably improved; accurate risk early warning is provided before a scheduling plan is executed, so that scheduling personnel can identify potential system imbalance risks in advance and have sufficient time to take preventive control measures, and therefore, occurrence of large-scale imbalance events can be effectively avoided, and safe and stable operation of a power grid can be guaranteed; accurate risk early warning helps to reduce unnecessary standby capacity configuration and emergency control cost, avoids sharp fluctuation of spot market price caused by large-scale output deviation at the same time, and helps to maintain stable and economical and efficient operation of the power market.

The invention discloses an electric power system control method and system based on adversarial training and terminal equipment thereof, and belongs to the field of electric power systems. Updating the discriminator based on the generated track set; obtaining a current state-action value function; updating the generator based on the approximate expert strategy probability and the current state-action value function; when the preset training target is not met, repeatedly executing an interaction action based on the current generator and the current discriminator, and obtaining a correction generator and a correction discriminator which meet the preset training target; obtaining a Markov agent based on the correction generator and the correction discriminator; actual operation data of the power system are obtained in real time, and a prevention and control strategy of the power system is obtained based on the Markov agent and the actual operation data. According to the adversarial training-based power system control method and system and the terminal equipment thereof disclosed by the invention, efficient and stable acquisition of a prevention and control strategy in dynamic operation of the power system is realized.

The invention discloses an intelligent anti-lock braking control method, system and device and a storage medium, and relates to the technical field of vehicle active safety. The method comprises the following steps: acquiring multi-source sensor data by using a multi-source sensor module, and estimating the slip rate according to the multi-source sensor data; constructing a fuzzy rule base, and predicting an environment friction coefficient and a friction extreme value; and the prediction result is corrected in combination with the environment friction coefficient, the wheel speed, the vehicle acceleration, the suspension displacement and the yaw velocity, and the actual friction coefficient is obtained. And then threshold value control is conducted according to the environment friction coefficient, the friction extreme value and the actual friction coefficient, and a brake pressure control scheme is determined. The adaptive capacity to the dynamic environment can be improved, and preventive control is achieved.

The invention provides a control method for accurate blanking of a hopper scale, and relates to the technical field of industrial automation and process control, and the method comprises the steps: obtaining the internal density distribution data of a material in a hopper through at least one electrical capacitance tomography sensor; obtaining inter-particle stress data of the material through at least one acoustic emission sensor; taking the internal density distribution data and the inter-particle stress data as observation variables, and inputting the observation variables into a dynamic Bayesian network DBN model; utilizing a DBN model to carry out probabilistic inference on a hidden material state of the material, the hidden material state at least comprising a flow failure probability; when the flow failure probability exceeds a preset threshold value, generating a preventive control signal; a preventative control signal is applied to a flow actuator to correct the flow condition of the material prior to a macroscopic flow failure of the material. The blocking risk can be reduced to the germination state as much as possible in the early stage of formation of the pre-bridging microstructure.

The utility model relates to a hydraulic belt correcting device, and relates to the technical field of belt conveyor auxiliary equipment. Comprising a deviation rectifying carrier roller set and a carrier roller installation frame, a rotating seat connected with the deviation rectifying carrier roller set is installed in the middle of the carrier roller installation frame, a left side pump frame and a right side pump frame are symmetrically installed at the two ends of a driver installation frame, and a left side hydraulic pump and a right side hydraulic pump are installed on the left side pump frame and the right side pump frame respectively. A hydraulic oil tank is installed on the driver installation frame, the telescopic end of the deviation adjusting oil cylinder is hinged to a driving rod on the deviation correcting carrier roller set, and the left side detection driving wheel, the right side detection driving wheel, the hydraulic oil tank and the deviation adjusting oil cylinder are communicated with the integrated valve block through corresponding oil pipes. The belt deviation correcting device has the advantages that belt deviation is automatically detected and corrected, the belt runs in a reasonable state all the time, circularly flowing hydraulic oil can take away heat generated by a hydraulic pump, the heat dissipation effect of a hydraulic system is enhanced, and preventive control over overheating of the hydraulic pump is achieved.

A hydraulic excavator having a plurality of front implement members, including a bucket, has a controller that controls the work implement by using: excavation assistance control that controls the work implement such that the bucket moves along a predetermined target excavation surface; and deviation prevention control that prevents deviation of the work implement from a predetermined work area by decelerating or stopping operation of a subject front implement member that is included in the plurality of front implement members and that can deviate the work implement from the work area. The controller controls the work implement such that when the controller controls the work implement by using both the excavation assistance control and the deviation prevention control, an operation direction of the bucket approximates to an operation direction of the bucket that is to be generated when the work implement is controlled by using only the excavation assistance control.

The invention discloses an electric power system static voltage stability prevention and control method and device, terminal equipment and a storage medium, and belongs to the technical field of electric power system stability control, and the method comprises the steps: obtaining the current generator active output, terminal voltage, reactive compensation, line load, node voltage and node power of an electric power system; inputting the active output, the terminal voltage, the reactive compensation and the line load of the generator into a preset load margin prediction model constructed based on a convex neural network to obtain a first load margin prediction value; inputting the first load margin predicted value, the node voltage and the node power into a preset voltage stability control model to obtain a current control decision parameter of the power system; and finally performing voltage stability control on the power system according to the control decision parameter. By implementing the method, the problems of complex calculation and low solving efficiency of a method for formulating a control strategy by iteratively solving non-convex nonlinear constraints in the prior art can be solved.

The invention discloses an electric power system prevention and control method and system under a time sequence fault based on reinforcement learning, and belongs to the technical field of electric power systems. The method comprises the following steps: acquiring basic operation data of a power system, and constructing an MDP model of prevention control and system dynamic response under a time sequence fault; based on the MDP model and the basic data, constructing a reinforcement learning environment containing load flow calculation, electromechanical transient simulation and quasi-steady state calculation, and an intelligent agent of an Actor-Critic framework; and performing optimization solution through an SAC algorithm, and outputting an optimal operation mode adjustment strategy meeting the transient stability requirement. The method solves the problem of time sequence cascading failure prevention and control, improves the system stability in an extreme scene, minimizes the adjustment cost, has the characteristics of high generalization ability and high response efficiency, and is suitable for prevention and control of extreme failures of a power system.

The application discloses a transient stability prevention control measure generation method and a related system, including the following steps: in a predicted fault scenario, a machine learning model is used to predict the transient stability of the current operation mode of a power system, the input of the machine learning model including various electrical characteristics related to the transient stability of the power system; the operation mode predicted as unstable is taken as an explained sample, a model explanation method is used to determine the influence degree of each electrical characteristic in the explained sample on the transient stability; candidate control units are determined according to the influence degree, and the candidate control units are adjusted, and the machine learning model is used to predict the transient stability of the adjusted operation mode until an operation mode predicted as stable is obtained, so that transient stability prevention control measures are generated. The method improves the explainability of the data-driven transient stability analysis model, the overall scheme requires a short time, and is suitable for online application.

To plan a protection control plan at a low operation cost while satisfying a dynamic constraint condition on reliability in a device for planning the protection control plan by combining preventive control and post-control.SOLUTION: A protection control plan planning device according to the present invention includes a predicted state generation section that generates a future predicted state of a power system, a first protection control plan planning section that plans a first protection control plan of the power system that satisfies a constraint condition related to control of the power system in the predicted state of the power system, a second protection control plan planning section that can plan a second protection control plan of the power system that satisfies the constraint condition when an assumed accident occurs in the predicted state of the power system, and a planning plan change section that creates predetermined information related to the constraint condition for changing a plan content of at least one of the first protection control plan and the second protection control plan when the second protection control plan planning section cannot plan the second protection control plan that satisfies the constraint condition.SELECTED DRAWING: Figure 1

The present invention provides a transient stability prevention and control method and device based on an agent model, the method comprising: inputting multiple operating data of an electric power system into a pre-built transient stability analysis model, obtaining transient stability analysis results of each operating data output by the transient stability analysis model, wherein each operating data includes the initial active power of a generator; determining transient instability operating data based on the transient stability analysis results, and calculating the sensitivity of each generator in the transient instability operating data by an integral gradient algorithm; and determining an adjustment strategy for the initial active power of each generator based on the sensitivity; the present invention provides a feasible solution to problems such as monitoring the stability status of the electric power system and control decision-making after instability, further improving the safe and stable operation capability of the electric power system, and providing support for preventing large-scale accidents in the power grid.

The invention discloses a prevention and control method and system based on distributed near-end strategy optimization, and belongs to the technical field of power systems and automation thereof, and the method comprises the steps: carrying out the parameter initialization of a plurality of local strategy networks based on a learning agent, and obtaining a plurality of initialized local strategy networks; executing a parallel sampling action on the power system simulation model based on the initialized local strategy network, and obtaining current simulation control data corresponding to the power system simulation model; optimizing and adjusting the learning agent based on the current simulation control data to obtain a distributed agent; according to the prevention and control method and system based on distributed near-end strategy optimization, real-time scene data of an electric power system are obtained, a prevention and control strategy is obtained, and transient stability of the electric power system is achieved based on the prevention and control strategy. And the high-dimensional power grid state processing efficiency is improved.

This application relates to methods and apparatus for clipping prevention. A driver apparatus for driving a load with an output signal has a switching driver with a switch network and a modulator configured to control the switch network to switch output nodes between different switching voltages with a controlled duty-cycle. A quantizer controller receives a quantizer input signal based on an input signal and a feedback signal and controls the duty-cycle of the switch network. A clipping prevention controller is configured to control a gain applied to the input signal so as to provide limiting of the input signal to avoid clipping, wherein the clipping prevention controller is configured to dynamically control at least one limiting threshold used to determine when to apply limiting of the input signal based on an indication of said quantizer input signal.

An overflow prevention control method for a dispenser, a dispenser, and a storage medium. The dispenser is arranged with an ingredient outlet and a water tank, and the water tank is arranged with a level sensor. The overflow prevention control method includes: detecting, via the level sensor, a first liquid level height of the water tank; and enabling a target filling mode and a target overflow protection according to the first liquid level height; where the target filling mode is at least one of an automatic filling mode or a manual filling mode, and the target overflow protection is at least one of an automatic filling overflow protection or a manual filling overflow protection.

The invention discloses a transient stability control method and system for a power system, and belongs to the technical field of power systems, and the method comprises the steps: constructing a power system environment simulation model and an initial Markov model; based on the initial Markov model, the discrimination strategy model and a preset generation strategy model, repeatedly executing a discrimination generation update action, obtaining a target agent network parameter, and constructing a target agent based on the target agent network parameter; and acquiring real-time power system operation data, and outputting a target regulation and control strategy based on the target intelligent agent and the real-time power system operation data so as to realize prevention and control of transient stability of the power system based on the target regulation and control strategy. According to the transient stability control method and system of the electric power system, the technical problems of unstable training and low sample efficiency in the prior art are solved, the process of simulating learning training is more stable, and the stability and reliability of transient stability control of the electric power system are effectively improved.

The invention discloses a flow safety monitoring and prevention control method. The method comprises the steps that the installation mode of a flow meter is defined; setting an installation mode of the flow meter in the electronic monitor, and defining a corresponding button; the installation mode of the flowmeter is detected through an image recognition algorithm, and signals are connected to the controller; when forward installation is stretched out or the forward installation is retracted, a corresponding button is selected, the electronic monitor sends a corresponding installation signal to the controller, and the controller compares the signal sent by the electronic monitor with a detected image recognition signal and carries out corresponding control. A machine tool opening and closing flow automatic detection starting button is arranged in the electronic monitor, at the moment, a handle sliding key is slid, and the controller does not respond; and at the moment, entering an automatic flow verification process. The method can realize automatic detection of the flow of batch offline machines of the whole machine, is higher in production efficiency and more accurate in data, and avoids the problem that the flow meter is damaged due to the reverse flow direction of hydraulic oil caused by manual operation of a bidirectional feather key of a handle.

This invention provides a distributed control method and device for integrated power generation, grid, load, and storage. First, it acquires the admittance information and a preset disconnection function of the power system, and uses this to calculate the node voltage of each node when any branch is disconnected, as the first calculation result. Then, based on the first calculation result, it calculates the power flow distribution when a line is disconnected, as the second calculation result. Next, based on the second calculation result, it calculates the power flow distribution when the power supply is interrupted, as the third calculation result. Finally, based on the first, second, and third calculation results, it determines the N-k static security check result of the power system, and performs preventative control of the power system based on the N-k static security check result. By setting corresponding disconnection functions, it deeply analyzes three types of interruption scenarios: branch, line, and power supply, and then extends this to N-k static security check, thereby accurately analyzing the power system's line disconnection problem and effectively implementing preventative control.

The application discloses a new energy station bidirectional transient reactive power measurement optimization method, which firstly establishes a PQ rectangular coordinate system, then draws a maximum operation boundary in the PQ rectangular coordinate system, and then calculates reverse transient reactive power margins and forward transient reactive power margins of the measured and controlled station's transient reactive power generating elements, calculates an optimal area of a PQ point according to the reverse transient reactive power margins and the forward transient reactive power margins of the generating elements, and prewarns and optimally controls the present operation PQ point of the transient reactive power generating elements in the station through the optimal area. The application realizes the coordinated preventive control of the transient reactive power of the generating elements in the measured and controlled station, so that the new energy station has maximized bidirectional transient reactive power reserves in real time, ensures that the maximum reverse and forward transient reactive power can be provided to inhibit the voltage rise or drop during the state change, abnormality or fault process of the power grid, supports the voltage stability of the station, and no oscillation source occurs.

The embodiment of the invention provides a combined type air conditioning unit intelligent energy saving method and system based on multi-dimensional environment perception, and is applied to the technical field of building energy management and heating ventilation air conditioner automatic control management. A thermal response phase difference and a heat attenuation rate are obtained through time sequence analysis, and then a thermal disturbance intensity index representing the heat flux change trend is generated; meanwhile, an illumination intensity abrupt change time window is identified based on the sun position and the facade optical attribute. By integrating the load control instruction based on the thermal disturbance index and the prevention control instruction based on the sudden illumination change, the air conditioning unit is driven to adjust the running state at the load inflection point or before the sudden illumination change occurs. According to the invention, the conversion from lag control to look-ahead control is realized, and the energy consumption of the system is obviously reduced on the premise of ensuring the comfort of the indoor environment.

The utility model discloses a wind speed detection device applied to battery production equipment, which comprises a seat body, a cover body, connecting pipes, a pitot tube, a heat dissipation seat and a control panel, the seat body is connected with two connecting pipes, the pitot tube is arranged on the connecting pipes and is used for detecting the wind speed in a pipeline, a cavity is arranged in the seat body, and the cover body covers the opening part of the cavity; the control panel is arranged on the supporting block in the cavity, the control panel is provided with a main control module and a display module, the heat dissipation base is arranged in the cavity, heat dissipation fins are arranged in the middle of the heat dissipation base, and the main control module and the display module are correspondingly connected to the upper end and the lower end of the heat dissipation base. Therefore, the heat dissipation base and the display module at the upper end of the heat dissipation base are installed on the supporting block in the cavity through the control panel, the control panel can fully dissipate heat through the heat dissipation base, the service life of the control panel is at least prolonged by two times, and the control panel is stably connected through the supporting block and the control panel. And components such as the control panel, the heat dissipation seat and the display module can be prevented from being damaged by collision in the seat body.

The invention discloses a vehicle stability control method, electronic equipment and a program product, and the method comprises the steps: collecting an image of a road surface in front of a vehicle through a camera module, and obtaining a current road surface adhesion coefficient based on image recognition processing; the angular position information of the motor is acquired in real time by injecting a high-frequency signal into a motor winding and combining a sliding mode observer; calculating a real-time slip rate of the vehicle based on the angular position information of the motor; determining the optimal slip rate of the target according to the current road adhesion coefficient; and comparing the real-time slip rate with the target optimal slip rate, and adjusting the motor control torque according to the comparison result, so that the real-time slip rate approaches the target optimal slip rate. According to the invention, prediction and active adjustment can be carried out before the wheel has a slip trend, feed-forward prevention control is realized, and the stability and safety of the vehicle are greatly improved.

The invention discloses a method and a device for preventing and controlling transient stability of a power system. The method comprises the steps that a transient stability evaluator based on a GCN is constructed to serve as a transient stability intelligent evaluation model, and the transient stability evaluator is used for rapidly evaluating the transient stability state of a power system; the constructed transient stability intelligent evaluator is embedded into a TSCOPF model agent, and a TSCOPF model agent parameter space is designed; the TSCOPF model intelligent agent interacts with the environment, and an A2C reinforcement learning algorithm is adopted to solve the TSCOPF model so as to train the TSCOPF model intelligent agent; and the TSCOPF model intelligent agent processes the obtained system topology structure and state information into a feature matrix and an adjacent matrix, and generates a corresponding power system transient stability prevention and control strategy. Therefore, the rapid evaluation of the transient stability of the power grid and the accurate generation of the prevention and control strategy are realized.