451 results about "Current load" patented technology

The invention provides a robust control automatic setting method for a constant-pressure water supply system, and the method comprises the steps: obtaining a system working condition in real time, and extracting multi-dimensional state parameters including real-time flow, pressure deviation, current deviation and power deviation; the current load working condition is judged according to the pressure deviation, disturbance characteristics are analyzed by integrating all parameters, and the disturbance grade and type are determined. On the basis, robust control parameters are automatically set in combination with real-time working conditions, load conditions and disturbance characteristics of the system. And finally, performing multi-stage cooperative control on the system by using the set parameters, so that the constant-pressure water supply system is automatically set. According to the robust control automatic setting method for the constant-pressure water supply system, load working conditions and disturbance characteristics are recognized based on multi-dimensional state parameters, robust control parameters are self-set in a targeted mode, and automatic setting of the constant-pressure water supply system is achieved through multi-stage cooperative control. Therefore, the intelligent level of the constant-pressure water supply system and the adaptability in different operation environments are effectively improved.

The invention discloses high-voltage wiring harness connector terminal fretting wear test equipment which comprises an equipment base, a high-frequency vibration exciter and a lifting platform are mounted on the equipment base, and a mounting platform is arranged at the top of the lifting platform; a left test piece mounting loading mechanism and a right test piece mounting force measuring device are arranged on the mounting platform. The device can realize a multi-physics field coupling test, current-carrying friction and arc erosion of an electric contact surface in a real working condition are simulated by combining a current load with high-frequency mechanical wear, and the electric-mechanical coupling wear characteristic of a new energy automobile charging terminal is accurately reproduced. The device supports the dynamic adjustment of normal load, simulates the contact pressure change of the left and right test samples of the test terminal in the plugging process through the test sample pin and the test sample jack, can be used for researching the relevance between the fretting wear and the contact resistance of the test terminal under different loads, and realizes the test of the terminal under complex working conditions in a laboratory environment. The test process is convenient, efficient and accurate, and the test cost and the test period are greatly reduced.

The invention provides a comprehensive energy self-adaptive scheduling method based on meteorological prediction, and aims to solve the problems that an existing energy system lags in response to meteorological disturbance and is insufficient in load regulation precision, and the comprehensive energy self-adaptive scheduling method comprises the following steps: fusing second-level meteorological disturbance data, electrical load power data, energy storage device charge state data and power grid boundary power flow data; constructing a disturbance response feature set, and establishing a time correlation mapping structure between a disturbance variable and a load variable; according to the method, a disturbance trend is predicted based on a mapping structure, an index set of disturbance direction, intensity and sensitive sections is formed, a dynamic regulation capability vector is generated in combination with a current load state, a scheduling optimization model meeting multiple operation constraints is constructed on the basis, a cooperative control strategy set is output, and the dynamic regulation capability vector is obtained. Finally, the control strategy is converted into a control instruction, the control instruction is accurately acted on a power generation device, an energy storage device and a load device, second-level dynamic self-adaptive scheduling of the comprehensive energy system on meteorological disturbance is achieved, and the system response capacity, stability and energy utilization efficiency are improved.

The invention relates to the technical field of data processing, in particular to an AI large model multivariate data fusion method and system based on multiple modalities, and the method comprises the steps: collecting multi-source data; performing classification abnormity judgment; abnormal type identification; calculating severity; switching fusion modes; and outputting an alarm. According to the method, parameters such as the spindle temperature, the rotating speed fluctuation rate, the vibration acceleration, the current load, the acoustic emission energy spectrum peak value, the cutting force variance and the cooling liquid metal particle concentration are acquired and fused step by step in multiple dimensions in the machining process of the numerical control machine tool, so that the running state of the machine tool is dynamically sensed from multiple angles; furthermore, the physical essence of tool wear and material peeling is revealed through the coupling relationship between the cutting force variance and the metal particle concentration, and meanwhile, the dynamic stability change of the machine tool structure is captured by combining the spindle rotating speed fluctuation ratio; the problem that state monitoring is not accurate in the numerical control machining process due to data isolation and fusion strategy staticization is effectively solved.

The invention relates to the technical field of manufacturing execution systems, in particular to an intelligent scheduling method integrating demand prediction and supply matching, which comprises the following steps of: acquiring to-be-scheduled order information and a workshop real-time resource state in a manufacturing execution system, constructing an order demand feature vector, the method comprises the following steps: acquiring an equipment precision retentivity value, a current load rate value, an energy consumption level value and an operator skill proficiency value, and constructing a resource supply capability vector; according to the method, when an urgent order insertion instruction is received, a clear decision basis is provided, a rigid scheduling locking block which must be kept unchanged and an adjustable liquid adjustable scheduling block which can be adjusted can be distinguished, only the latter is subjected to accurate splitting and backward moving operation, and the target-clear local adjustment mode is adopted, so that the operation efficiency is greatly improved. The huge calculation overhead and the violent fluctuation of the production plan caused by the traditional global rescheduling are avoided, and the agility of the manufacturing system to deal with the market change is enhanced.

The invention discloses a cross-cabinet power scheduling method, device and system applied to a charging station, the cross-cabinet power scheduling method can be applied to the technical field of energy management of the charging station, and the method comprises the following steps: when the charging demand of a first power cabinet exceeds the rated total power thereof, the first power cabinet is switched to the second power cabinet; obtaining dynamic schedulable power of at least one second power cabinet and a peak power demand in a future time window; wherein the first power cabinet is any one power cabinet of the charging station, and the second power cabinets are other power cabinets; the dynamic dispatchable power is determined based on the rated total power of the power cabinet, the current load power and the safety margin adjusted according to the real-time state of the charging gun in the power cabinet; determining a resource occupation priority of each second power cabinet based on the dynamic schedulable power and the peak power demand; and calling the power resource of the corresponding second power cabinet through the corresponding cross-cabinet contactor group according to the priority. The operation stability and the power resource utilization rate of the charging station are improved.

The invention discloses an intelligent control method for power distribution and efficiency optimization of an energy storage power station, and the method comprises the steps: obtaining real-time operation data and historical load records of all PCS units in the energy storage power station, and obtaining a current load change trend through data fusion processing; according to the current load change trend, a fuzzy logic algorithm is adopted to analyze the performance state and the output proportion of the PCS unit, and the initial load distribution weight of each unit is determined; aiming at the optimized distribution scheme, generating a self-adaptive priority ranking rule by adopting a genetic algorithm, judging whether the rule covers real-time state change or not, and obtaining a dynamic ranking list; extracting a high-priority PCS unit from the dynamic sorting list, obtaining an equipment loss index of the high-priority PCS unit, and determining an output increase proportion of a low-loss unit through index comparison processing; and according to the output increase proportion, fusing the resource utilization rate data, and if the utilization rate is lower than a preset threshold value, redistributing idle unit power to obtain overall efficiency improvement configuration.

The invention discloses a power supply test method for simulating an equipment load and electronic equipment, and relates to the technical field of electronics, and the method comprises the steps: transmitting test current information to a first control part through a management controller, the test current information being used for indicating a to-be-simulated specified load current of a first load module; according to the specified load current, the first control part controls the first load module to carry out current pumping on a power supply of the first load module; voltage data of the power supply of the first load module and current data of the power supply of the first load module are obtained through the first control part, and a first test result is obtained. The technical problem of insufficient accuracy and comprehensiveness of the power supply test method of the equipment load in the related technology is solved, and the technical effect of improving the accuracy and comprehensiveness of the power supply test method of the equipment load is achieved.

The invention provides a new energy automobile battery pack temperature abnormity real-time monitoring and fault diagnosis method, and relates to the technical field of new energy automobile battery management, and the method comprises the steps: building a temperature gradient field and heat flow conduction path topological relation through obtaining the temperature and current load values of a battery unit, and carrying out the temperature field reconstruction; a theoretical temperature response value is calculated based on a current load, correction is carried out in combination with a space thermal coupling strength distribution matrix to obtain a temperature reference value, a dynamic characteristic quantity is extracted to determine an abnormal evolution mode by calculating a deviation degree between a measured value and the reference value and a time evolution trajectory thereof, and finally a fault source position is positioned. According to the invention, the battery abnormity detection accuracy and the fault diagnosis efficiency can be improved.

The invention relates to an electric energy meter high-precision measurement method and system, and relates to the technical field of electric energy metering, and the method comprises the steps: extracting a combined load feature vector of a real-time current signal, and comparing the combined load feature vector with a preset feature library to accurately determine a current load mode, thereby adaptively selecting an optimal metering strategy parameter set; the active power of fundamental waves is accurately calculated through a hybrid harmonic separation technology so as to eliminate interference of harmonic components on metering; and carrying out dynamic compensation on the fundamental wave power by using the selected strategy parameters, and carrying out integration to obtain final electric energy. In addition, the system periodically utilizes an internal high-stability reference source to calibrate and compensate system-level errors of the whole measurement link through a parallel closed-loop self-correction process. According to the invention, the metering accuracy, adaptability and long-term stability of the electric energy meter under various complex load conditions can be significantly improved.

The invention discloses a high-side driving circuit and a vehicle body controller. The high-side driving circuit relates to the field of vehicle body controllers, and solves the problem that the existing high-side driving circuit cannot meet the requirements of low cost and high reliability. The switching circuit adopts a combined structure of switching tubes and is connected in series between a power supply and a load, and more stable on-off control is realized through cooperation of multiple tubes; the starting threshold circuit responds to an external control signal only when the load impedance meets a preset threshold value, and large-current load driving in the starting stage or forced starting during load abnormity is carried out. The over-current threshold circuit is connected in series with a driving loop of the switching circuit and provides constant over-current turn-off. A voltage negative feedback circuit is introduced into the voltage and potential stabilizing module to realize self-turn-off and keep a turn-off state when overcurrent and short circuit occur, and self-recovery is realized after a fault disappears without depending on logic judgment of an external control unit. The port protection module absorbs the instantaneous high voltage and the surge current. Through the characteristics, the current-carrying capability of the triode is improved, and the application range of the triode switching circuit is widened.

The invention discloses a short-term electric quantity balance analysis method and system for a water-wind-light system, and relates to the technical field of electric quantity analysis of the water-wind-light system, and the method comprises the steps: collecting and preprocessing meteorological data, historical power generation data and power grid load information, and building a high-quality data set according to the preprocessed data; constructing a power generation prediction model through a deep learning algorithm, inputting the data in the high-quality data set into the power generation prediction model as input data, and outputting a power generation power prediction value; obtaining an energy storage charging and discharging strategy by combining the current load demand, the energy storage state and the operation constraint condition data in the power grid load information based on the power generation power prediction value; performing execution control on an energy storage charging and discharging strategy, and generating an energy storage operation plan by combining a real-time SOC state of the battery, an aging model constructed based on historical operation data of the battery and an efficiency curve calibrated through historical charging and discharging data; and based on the energy storage operation plan.

The invention discloses a method for accurately measuring voltage, current and phase angles of a sectional intelligent electric energy meter, which relates to the technical field of electric energy meter metering and comprises the following steps of: S1, constructing a sectional load-mutual inductor angle difference correlation model, and dividing a plurality of load intervals according to an application scene of the sectional intelligent electric energy meter and working characteristics of a mutual inductor, acquiring current transformer angular difference data and voltage transformer impedance drift related data in different load intervals, and establishing and storing an association relationship between each load interval and a corresponding transformer angular difference compensation coefficient in combination with inherent parameters of the transformer; according to the invention, a segmented load-mutual inductor angle difference correlation model is constructed in advance, load voltage and current amplitude data are collected in real time to accurately determine a current load interval, and a corresponding mutual inductor angle difference compensation coefficient is automatically matched to carry out dynamic adaptive compensation on an initial phase angle. The problem of phase deviation caused by angular difference nonlinear change of a current transformer in different load intervals and impedance drift of a voltage transformer in the prior art is solved.

The invention provides a coal-fired unit deep peak regulation and rapid start-stop control method and device, equipment and a medium. The method comprises the steps that a coal-fired unit physical operation model is constructed; collecting system operation data; predicting the load demand, combustion stability and equipment health condition of the coal-fired unit in a preset future time period through a preset model according to the current operation data and the current load data; solving a Pareto optimal solution set based on the three objective functions according to the output predicted by each model, and selecting an optimal solution according to the current operation demand; performing simulation on the obtained control strategy based on the established coal-fired unit physical model, performing safety verification on operation state simulation data according to a preset unit operation constraint condition, if the safety verification is passed, driving an execution mechanism through a bottom layer control loop of the control strategy, and if the safety verification is not passed, feeding back, adjusting and outputting the control strategy. And the safety verification is passed.

The invention discloses a power supply control method and system based on a real-time slope adjustment algorithm, and the method comprises the steps: monitoring the load impedance characteristics of a power supply and environment noise data in real time, and obtaining an independent control time slice set; obtaining a time sequence identifier of the control time slice set, and obtaining a dynamic mode parameter packet bound with the current load characteristic; obtaining a real-time voltage / current regulation instruction set with a feed-forward compensation coefficient according to the dynamic mode parameter packet and the error tolerance data; analyzing the real-time voltage / current regulation instruction set, and combining the historical working condition similarity data to obtain an optimized PID coefficient matrix and a feed-forward gain vector; and executing the optimized PID coefficient matrix and the feed-forward gain vector, and generating and outputting a four-dimensional space trajectory signal which is completely matched with the target slope trajectory as a direct driving reference of a power supply power device. According to the embodiment of the invention, high-precision and low-jitter real-time slope tracking control can be realized, and the dynamic response speed and anti-interference robustness of a power supply system are improved.

The present invention relates to the technical field of automatic control for thermal power energy storage, and relates to a unit load advanced control method based on a battery energy storage state, comprising: determining the state of a thermal power unit on the basis of an AGC command and current load of the thermal power unit; determining whether an energy storage output of an energy storage system meets the AGC command; if not, establishing an initial thermal power unit heat storage coefficient and a prediction thermal power unit heat storage data set on the basis of the state of the thermal power unit; constructing a thermal power unit heat storage coefficient prediction model; and inputting operation data of the thermal power unit into a trained thermal power unit heat storage coefficient prediction model, generating a predicted thermal power unit heat storage coefficient, constructing a correspondence between the predicted thermal power unit heat storage coefficient and a load command advance amount, and generating a load command and executing same by the thermal power unit. The present invention solves the problem in the prior art of excessively high unit load caused by allocating frequency regulation tasks to energy storage systems and conventional thermal power units according to a fixed proportional coefficient.

The invention discloses a box-type transformer light storage integrated micro-grid system and method based on an intelligent fusion terminal. The system is characterized in that a photovoltaic power generation module is connected to a direct current side through a DC / DC converter; the energy storage module is connected to the direct current side through the bidirectional converter; the electric energy quality management module comprises a parallel converter and a series converter and is connected between a direct current side and an alternating current power grid side; the isolated island operation module is connected to an AC power grid side; the feeder protection module is connected to an alternating-current power grid side; the direct-current load is connected to the direct-current side; the alternating-current load is connected to an alternating-current power grid side; the intelligent fusion terminal is used for uniformly monitoring and scheduling the photovoltaic power generation module, the energy storage module, the electric energy quality management module, the isolated island operation module and the feeder line protection module; according to the method, continuous power supply can be guaranteed when the power grid breaks down, rapid recovery is achieved after the fault is removed, and it is guaranteed that the system has extremely high robustness and safety.

The invention discloses a proton exchange membrane fuel cell hydrogen supply system and a control method, and belongs to the field of fuel cells. The method comprises the following steps: constructing an electrochemical-fluid coupling model of a proton exchange membrane fuel cell stack; constructing a galvanic pile life prediction model based on a long short-term memory (LSTM) neural network; judging a system operation mode according to the current load power; when the system enters a standby state or an emergency shutdown state, a hydrogen and air supply loop is cut off, and nitrogen is introduced into the anode and the cathode of the galvanic pile for protection; load power is used as reference input, pile output power is used as feedback, and a PID controller is used for adjusting the opening degree of an electric control proportional valve of a hydrogen supply loop and an air supply loop; and taking a total impedance predicted value output by the galvanic pile life prediction model as an optimization target. According to the method, the problems of performance degradation and service life shortening of the fuel cell under the dynamic working condition are solved, and efficient, reliable and long-life operation of the fuel cell system is realized through the comprehensive means of model prediction, real-time control and intelligent optimization.

The invention provides a power distribution network line fault monitoring and early warning method, which comprises the following steps of: acquiring line vibration data through a sensor array, analyzing vibration frequency distribution by utilizing fast Fourier transform, extracting dominant frequency, comparing the dominant frequency with an inherent frequency database, judging a resonance risk, and further calculating an amplitude change trend by adopting a sliding window algorithm. And evaluating the fatigue accumulation degree by combining a material fatigue model. A Bayesian probability model is innovatively introduced, the influence of current load and wind action is fused, the resonance risk posterior probability is calculated, a support vector machine algorithm is adopted to classify and evaluate the risk, accurate early warning is achieved, finally, an early warning signal is transmitted through wireless communication, a vibration suppression control signal is generated to adjust a damping device, and the vibration suppression effect is achieved. And stable line operation is realized. According to the invention, accurate identification, real-time early warning and active suppression of the resonance risk of the power transmission line are realized, and the operation safety and reliability of a power grid are improved.

The invention discloses a turbine generator set power oscillation emergency valve switching control method, system, equipment and medium based on a thermodynamic model, and belongs to the technical field of electric power system automation control and thermal energy power engineering, and the method comprises the steps: monitoring the operation state of a set in real time, and collecting the current data of the set; calculating a theoretical balance valve position required for maintaining the current target power in real time by using the corrected inverse thermodynamic model; and the power fluctuation condition is monitored in real time, when it is detected that power oscillation happens to a unit and valve cutting logic is triggered, the system intercepts a conventional feedback instruction for tracking the actual valve position, the theoretical balance valve position is directly used as a target instruction, and a control valve is forcibly driven to act to the valve position through a rate limiter. According to the method, it can be ensured that after closed-loop control of the unit is cut off, the valve rapidly returns to the physical balance opening degree matched with the current load, an oscillation source is effectively eliminated, severe fluctuation of main steam pressure and temperature is stabilized, and the safety and stability of the unit under the abnormal working condition are remarkably improved.

The invention relates to the technical field of automatic assembly equipment, in particular to an automatic nut burying device based on high-precision servo drive and a control system thereof, and aims to solve the problem that the positioning precision is degraded due to micro-step error accumulation caused by dead time under the high-frequency start-stop working condition. The device comprises a mechanical execution unit, a permanent magnet synchronous servo motor, a servo driver, an absolute photoelectric encoder and a central cooperative controller, according to the control method, a load dependent type dead zone online identification and compensation framework is constructed, an extended Kalman filter is triggered through a load torque observer to estimate dead zone parameters in real time, compensation voltage matched with a current load is dynamically generated and superposed to a q-axis instruction, and error accumulation is effectively restrained. And the accumulated position deviation does not exceed 0.1 mm after continuous operation for one thousands of cycles, so that the position precision and the beat stability in the nut burying process are remarkably improved.

The present application relates to a power system optimization method based on electric carbon collaborative virtual power plant, comprising: determining the total carbon emission control target, considering the carbon emission cost, and constructing a virtual power plant benefit optimization model; solving the virtual power plant benefit optimization model to obtain the output power of each energy supply unit of the virtual power plant; calculating the carbon emission quota demand increment of the virtual power plant; according to the historical carbon emission information and the current load condition of the virtual power plant, predicting the overall carbon emission demand of the virtual power plant; using the modified finite difference method, solving the optimal carbon emission quota purchase strategy and the carbon compliance minimum cost at each time; combining the solving result with the output power of each energy supply unit to obtain the optimal solution of the virtual power plant benefit optimization model, that is, the optimal scheduling scheme. The present application realizes the cost optimization of the virtual power plant, and reduces the overall carbon emission cost of the power system under the premise of ensuring the power demand and the total carbon emission control target of the virtual power plant.

The invention relates to the field of fault diagnosis, in particular to an intelligent fusion terminal electric energy meter fault real-time diagnosis method based on edge calculation, which comprises the following steps: acquiring charging pile electric energy meter data of an electric vehicle charging station and analyzing the current load fluctuation degree of each pile, and screening a to-be-analyzed charging pile of a target charging pile according to a physical position; according to the method, the influence factor is calculated by combining the electric energy parameters and the access state, then the significant load degree is obtained through correction so as to dynamically adjust the early warning threshold value, and finally the fault probability is calculated by combining the multi-dimensional electric energy parameters, so that the running state of the electric energy meter is judged, fault diagnosis is completed, the dynamic load can be adapted, and the diagnosis accuracy and real-time performance are improved. According to the invention, through load fluctuation quantification, adjacent charging pile coupling interference correction, dynamic threshold adjustment and multi-dimensional parameter cooperative determination, dynamic adaptation of violent and irregular load fluctuation of the charging station is realized, misjudgment and missed determination are effectively avoided, and the operation safety of the charging station and the charging experience of a user are guaranteed.

The invention discloses a digital voltage compensation method, which relates to the technical field of power systems, and comprises the following steps: monitoring output voltage signals and load current signals of each point of a power grid in real time, establishing an output voltage digital sequence and a load current digital sequence, and extracting dynamic characteristic variables of current load current representing the change trend of a future time period; judging the working mode of the current running state; based on the voltage digital sequence, comparing with the reference voltage, calculating a real-time-reference voltage feedback compensation amount, taking the dynamic characteristic variable as input, establishing a load-voltage response prediction model, generating a voltage deviation prediction value in a future control period, and obtaining a voltage feed-forward compensation amount; and the current working mode is identified according to the working mode, a dynamic weight coefficient is given to the real-time-reference voltage feedback compensation amount and the voltage feed-forward compensation amount, the final compensation control amount of the voltage of each point of the power grid is calculated, and a driving signal is generated to dynamically adjust the voltage of each point of the power grid in real time and accurately. The power quality of the power grid is improved.

The invention provides a blade deformation detection method and device, equipment and a medium, and relates to the technical field of wind power generation. Determining current deformation data corresponding to the blade based on the full-surface image data; determining current load data corresponding to the current deformation data based on the calibrated mapping relation among the environment data, the deformation data and the load data; and based on the current load data, the unit yaw angle of the blade is determined, so that the stability and reliability of long-term detection of the blade are improved.

The utility model discloses a multi-contact connector terminal, relates to the technical field of connector terminals, and aims to solve the problem of unstable connection in the traditional single-point or double-point contact design. The connector terminal integrates four independent contact points through a single terminal, adopts a double-row and two-column symmetrical design, and comprises a base, a first elastic contact arm, a through hole, a second elastic contact arm, a first bending part, a second bending part and the like. According to the design, the contact area is increased, the current load is dispersed, the contact resistance is reduced, and the stability and the reliability of the connector terminal are effectively improved. Besides, the connector terminal also has the advantages of simple structure, low manufacturing cost, easy installation and maintenance and the like, is suitable for electric signal transmission among various electronic devices, and provides powerful guarantee for stable operation of the electronic devices.

The application discloses a cross-cabinet power scheduling method, device and system applied to a charging station, wherein the cross-cabinet power scheduling method can be applied to the technical field of energy management of the charging station, and the method comprises the following steps: when the charging demand of a first power cabinet exceeds the rated total power of the first power cabinet, the dynamic schedulable power of at least one second power cabinet and the peak power demand in a future time window are obtained; wherein the first power cabinet is any power cabinet of the charging station, and the second power cabinet is the remaining power cabinet; the dynamic schedulable power is determined based on the rated total power of the power cabinet, the current load power and the safety margin adjusted according to the real-time state of the internal charging gun; based on the dynamic schedulable power and the peak power demand, the resource occupation priority of each second power cabinet is determined; and the power resource of the corresponding second power cabinet is called through the corresponding cross-cabinet contactor group according to the priority. The application improves the operation stability and power resource utilization rate of the charging station.

The embodiment of the specification provides a kind of LDO regulating circuit and method based on adaptive power transistor, wherein the circuit includes: voltage difference time converter VDTC, connect with charge pump CP, for comparing output voltage VOUT with reference voltage VREF, according to the pulse signal of comparison result generation;Charge pump CP, connect with the sub-power tube in adaptive power transistor and non-negative gain stage, for generating pull-up or pull-down current according to the pulse signal;Miller compensation capacitor, across the output of first gain stage and output voltage VOUT, for separating the main secondary node of entire circuit;Undercut improvement circuit, connect output voltage VOUT and main power tube gate, for detecting the dramatic change of output voltage VOUT and generating pulse signal after exceeding threshold range;Adaptive power transistor, connect after the output of first gain stage, for adaptive control switch according to load current condition, provide stable output voltage in wider current load range.

A large-current charging and discharging integrated board-to-board waterproof connector with a guide column comprises a male end base, a male end terminal, a male end positioning piece, a female end positioning piece, a female end terminal, a male end sealing gasket, a sealing ring and a female end sealing gasket. The device is small in size and convenient to install. A turning needle is adopted as a current conductor contact piece, the current carrying requirement can be more than 100A and is far higher than that of other connectors in the market, and a reed is used in a female end terminal, so that the plugging service life of more than 3000 times can be met. According to the utility model, the two metal guide columns are fixed on the two sides of the male end positioning piece by using a metal embedding process, so that the plugging is convenient, and the product damage is reduced. Through the arrangement of the boss, the boss can be matched with the groove in the shell to be connected with the female end positioning piece, and the guiding and positioning effects are achieved. Abrasion between the terminals is greatly reduced, and the service life is prolonged. The male end terminal comprises a plurality of turning needles, and the female end terminal comprises a plurality of turning holes, so that the charging and discharging integrated requirement can be met.

The application discloses a kind of data center intelligent power distribution system electric capacity dynamic monitoring and early warning method, it is related to electric capacity dynamic monitoring technical field, including using current decomposition method to the power load of data center power supply system is hierarchized decomposition, obtain current, pre-increased current and charging current;Using dynamic aggregation calculation method to the current data after decomposition is gradually summarized, obtain the expected current, maximum current and expected maximum current of each level;Using load rate calculation method to the current data after aggregation is normalized, obtain the current load rate, expected current load rate, maximum current load rate and expected maximum current load rate of each level;Using three-level early warning threshold method to the load rate obtained by calculation is threshold comparison, and according to preset light load, heavy load, overload threshold triggers corresponding level capacity early warning signal;Using scene adaptation method to early warning signal is classified processing.