217 results about "Dynamic impedance" patented technology

The invention relates to the technical field of power system testing, in particular to a transformer simulation test current optimization method based on dynamic impedance matching, which comprises the following steps: performing low-power scanning on a tested transformer to establish a nonlinear model capable of predicting harmonic waves; actively synthesizing the virtual impedance of the target power grid; and a feed-forward compensation current is generated by using a harmonic prediction model and is injected into the transformer after being superposed with a fundamental wave instruction. According to the method, accurate identification modeling is carried out on nonlinear characteristics of a tested unit, active synthesis of virtual impedance of a target power grid is combined, and harmonic compensation current is generated in real time by utilizing a feedforward control thought so as to optimize finally injected test current. According to the method, the problems of inaccurate power grid simulation and insufficient nonlinear response coupling of the transformer in a traditional test are solved, high-fidelity current injection is realized, real electrical behaviors of the transformer under various complex power grid working conditions can be accurately simulated, and the flexibility, accuracy and safety of the test are remarkably improved.

The invention discloses a land energy storage container self-adaptive liquid cooling heat dissipation device and method, the device comprises a liquid cooling unit, a self-adaptive circulation pipeline, a variable flow pump valve group, a distributed temperature sensing module and a BMS main control module, through data monitoring, model establishment, thermal load prediction, selection of a proper cooling mode, and introduction of reasonable compensation, the self-adaptive liquid cooling heat dissipation of the land energy storage container is realized. And the variable-frequency circulating pump and the valve body are adjusted and combined for execution. Through multi-parameter fusion control, dynamic impedance matching and intelligent algorithm optimization, a cooperative control mode of a variable orifice regulating valve and a variable frequency circulating pump is innovatively adopted, and dynamic matching of cooling loop impedance is achieved; through temperature field modeling, heat dissipation demand grading prediction, a cooling parameter self-optimization algorithm and fault self-diagnosis, the balance degree of the temperature field is effectively improved, heat dissipation energy consumption is reduced, environmental adaptability is enhanced, and meanwhile the method has the advantages of being high in reliability, wide in environmental adaptability and low in operation and maintenance cost.

The invention belongs to the technical field of unmanned aerial vehicle full-aviation electromagnetic detection, and particularly relates to a full-aviation frequency domain electromagnetic emission system and a control method. A broadband frequency mixing and matching circuit is connected in series between an H-bridge power inverter and an emission coil of an unmanned aerial vehicle electromagnetic emission system; the broadband mixing and matching circuit comprises a first resonance unit formed by connecting a fixed capacitor and an adjustable inductor in parallel and a second resonance unit formed by connecting a fixed capacitor and an adjustable inductor in parallel, and the first resonance unit and the second resonance unit are connected in series. The adjustable inductor is matched with the dynamic impedance of the inductive load by adjusting the inductance value, and the broadband frequency mixing and matching circuit can adjust the impedance in real time, so that the matching of different resonant frequencies is realized, and the frequency range of a matching signal can be obviously widened.

The invention relates to the technical field of on-load voltage regulation, in particular to a transformer on-load voltage regulation control method. According to the technical scheme, the transformer on-load voltage regulation control method comprises the following steps that S1, a transformer cluster running in parallel is decomposed into distributed intelligent nodes, and each node executes local voltage prediction and constraint condition management; s2, adopting a distributed model prediction control framework, and cooperatively solving a voltage regulation optimization target through an edge calculation unit; s3, a harmonic disturbance signal with a preset amplitude is injected into the transformer, equivalent impedance is dynamically identified based on response data, and virtual impedance compensation is triggered; and S4, establishing a hierarchical cooperative control architecture, and realizing clock synchronization, dynamic weight distribution and multi-objective optimization decision among nodes. Through a cooperative mechanism of distributed predictive control and dynamic impedance compensation, the response speed and the regulation precision of the on-load voltage regulation system to the power grid voltage fluctuation are remarkably improved, and the voltage out-of-limit problem under the complex working conditions of new energy grid connection, load sudden change and the like is effectively solved.

The invention discloses a frequency division control radio frequency power supply solid-state impedance matcher and a method thereof, and aims to solve the problems that a traditional mechanical impedance matcher is slow in response, low in adjustment precision and difficult to adapt to a dynamic load. According to the system, an all-solid-state impedance matcher is adopted, impedance dynamic adjustment is achieved through a matching network composed of an adjustable inductance module and a switched capacitor module, closed-loop control is constructed in combination with a radio frequency signal detection module and a digital signal processor, and a frequency division control strategy is adopted, and the high-frequency band realizes high-precision matching through a control strategy of coarse adjustment of the adjustable inductance module and fine adjustment of the switched capacitor module. The device has the advantages of high response speed, wide frequency band coverage and the like, and is particularly suitable for industrial plasma application scenes with remarkable dynamic impedance characteristics.

The invention relates to the technical field of intelligent power distribution and electrical equipment state monitoring, in particular to an intelligent power distribution cabinet data acquisition control system and method, and the method comprises the steps: presetting a temperature sensor and a Hall sensor at the lap joint of a circuit breaker contact and a copper bar of an intelligent power distribution cabinet; calibrating inherent parameters of the system; in response to starting operation of the intelligent power distribution cabinet, the following steps are triggered: obtaining real-time load current, real-time environment temperature and actual temperature through filtering processing; generating a theoretical healthy temperature through a thermoelectric coupling evolution equation; calculating aging resistance increment through dynamic impedance differential evolution processing; generating an aging resistance estimated value through contact state multi-dimensional evaluation; generating a dynamic current limit value through an intelligent current limiting control model; outputting a control signal to adjust the operation state of the intelligent power distribution cabinet; according to the invention, the problem that a traditional single threshold scheme cannot accurately identify a real health state is solved, and the sensitivity and accuracy of contact aging detection are remarkably improved.

The invention relates to the technical field of intelligent power distribution network automatic protection, and discloses a power distribution network fault strategy generation method, system and device based on a self-healing loop graph, and a medium, and the method comprises the steps: constructing a power distribution network topological graph, and recognizing a self-healing loop; generating a cooperative protection constant value based on the incidence relation of the dynamic correction path impedance and the protection device; a delay parameter is adjusted through conflict detection of the dynamic impedance track and the high-frequency phase sequence; simulating a fault action to generate an SOE event chain; identifying an abnormal time delay combination in combination with historical time delay distribution and marking conflicting nodes; adjusting parameters for the second time to generate a self-healing strategy matched with the topology; through multi-dimensional time sequence conflict detection and closed-loop feedback optimization, precise control of cooperative action of the protection device is realized, fault isolation delay and maloperation of a non-fault area are effectively avoided, and self-healing reliability and power supply recovery efficiency in a complex power distribution network scene are improved.

The invention discloses a dynamic impedance matching wireless charging power adaptive adjustment system, which comprises a dynamic impedance detection module used for being connected with a wireless charger, monitoring voltage and current of a transmitting end and a receiving end of the wireless charger in real time, and calculating a phase difference to obtain a current impedance value; the control module is used for calculating matching network parameters needing to be adjusted according to the detected current impedance value; the matching network adjusting module is used for adjusting matching network parameters according to an instruction of the control module, so that transmitting end impedance and receiving end impedance are in conjugate matching; the power adjusting module is used for adjusting transmitting power according to the dynamic impedance matching result; a communication module; according to the invention, through cooperation of the dynamic impedance detection module, the control module, the matching network adjustment module, the power adjustment module and the communication module, full-process automation from impedance detection, parameter calculation to dynamic adjustment is realized, and adaptability and efficiency of wireless charging are significantly improved.

The invention discloses an intelligent water operation management and control system based on the Internet of Things, and relates to the technical field of industrial Internet of Things crossing, and the system comprises the steps: collecting multi-dimensional operation data in a water supply network, carrying out the preliminary time mark alignment and preprocessing, and generating a multi-source synchronous perception data set; importing the comprehensive risk list into a digital twinborn body, dynamically injecting corresponding fault and abnormal scene parameters in a digital twinborn environment, and performing large-scale parallel deduction through a Monte Carlo simulation algorithm to generate a rehearsal consequence data set; and carrying out multi-objective decision analysis on the rehearsal consequence data set, carrying out prediction comprehensive plan utility scoring based on a preset safety weight and an economic weight, and calculating an optimized management and control plan through iterative optimization. According to the invention, the multi-source heterogeneous data is deeply fused through the graph neural network of the risk identification module, the dynamic impedance characteristics of the pipe network are accurately extracted, the early abnormality is identified, and advanced diagnosis of the multi-modal coupling risk is realized.

The invention provides a dynamic impedance matching charger based on battery aging, a method, electronic equipment and a medium. The charger comprises a master control unit, and a battery state monitoring module, an aging grade evaluation module, a dynamic charging control module, a battery cell balancing module, an optimization control module and an anti-interference module which are connected with the master control unit to cooperatively realize charging closed-loop control. The battery state monitoring module injects a preset frequency alternating current signal and outputs an impedance parameter, a charge state and a temperature parameter; the aging grade evaluation module outputs a battery aging grade in combination with a preset model; the dynamic charging control module is matched with an adaptive charging mode instruction; the battery cell balancing module calculates the battery cell impedance difference, and balancing operation is executed if the battery cell impedance difference reaches the standard; the optimization control module generates an optimized current instruction through a preset algorithm according to the related parameters, and superposes the optimized current instruction to the reference current; the anti-interference module improves the signal-to-noise ratio of collected signals to a preset standard through isolation and shielding design.

The invention relates to the technical field of network construction type converters, in particular to a multi-machine parallel operation circulating current suppression method and system for a network construction type converter. By dynamically adjusting control parameters, cooperatively adjusting current and voltage and introducing a high-frequency impedance adjusting mechanism, generation of circulating current can be accurately inhibited in real time, and by obtaining the high-frequency impedance characteristic and the circulating current amplitude of each converter and generating the corresponding high-frequency impedance adjusting reference, the high-frequency impedance adjusting reference can be accurately adjusted. A high-frequency dynamic impedance adjusting model can be constructed according to power flow data, impedance parameters are further optimized, it is ensured that voltage output of each converter is kept consistent in a parallel system, and therefore the circulating current problem caused by voltage differences is avoided; ring current generation can be effectively reduced, and the electric energy quality and power distribution precision of the system are improved.

The invention discloses an intelligent insulation parameter dynamic monitoring and regulation system based on a GD32 microcontroller, and belongs to the field of power electronic insulation monitoring. According to the system, a distributed monitoring network is constructed by taking GD32 as a core processor, a multi-channel time-sharing sampling and dynamic impedance measurement algorithm is integrated, GA / GB dual-channel independent sampling is realized by virtue of a state machine, and the sampling efficiency is improved by 80% compared with that of a traditional scheme. A programmable resistance network and a low-noise operational amplifier are adopted, 1 pF to 100 nF impedance matching and 5-200-time dynamic gain adjustment are achieved, an optical coupler switching dynamic impedance measurement method is originally created, four sets of voltage are adopted for time-sharing conduction of a solid-state relay, and 1.5% high precision is achieved through an improved voltage division model. LC-pi type filtering is adopted at a signal input end, and the high-frequency noise suppression ratio is larger than 20 dB; and a CAN module is newly added, so that a CAN2.0B extension frame and an adjustable Baud rate of 10k-1Mbps are supported. Actual measurement shows that the system can measure 10-65M omega insulation resistance in new energy and rail transit scenes, the dynamic response is smaller than or equal to 200ms, the system is suitable for the fields of medical equipment, industrial sensors and the like, and the overall performance is improved by three times compared with that of a traditional scheme.

The invention discloses a transformer parallel operation circulating current suppression method and system based on a cloud edge collaborative architecture, and relates to the technical field of power grid control, and the method comprises the steps: an edge node collects the multi-source dynamic data of a parallel transformer in real time, and constructs a local dynamic impedance model of a single transformer; the cloud receives the multi-modal data uploaded by each edge node, inputs the multi-modal data into an LSTM-SVM hybrid model trained based on a historical database, generates an impedance prediction weight of each edge node, and issues the impedance prediction weight to the corresponding edge node; the edge node receives the impedance prediction weight and injects the impedance prediction weight into a local dynamic impedance model to generate a corrected dynamic impedance matrix; and calculating a circulating current suppression instruction according to the corrected dynamic impedance matrix, and executing real-time regulation and control based on the circulating current suppression instruction. According to the method, the impedance prediction weight is generated through real-time collection of the edge nodes and calculation of the cloud, the local dynamic impedance model is effectively corrected, and then the circulating current suppression instruction is accurately calculated.

The invention relates to the technical field of pulse load energy optimization control, in particular to a pulse type ultra-low power consumption energy management system based on a super capacitor, which comprises a pulse spectrum analysis unit, a capacitor bank dynamic tuning unit and a charge state compensation unit, a pulse spectrum analysis unit extracts a load pulse dominant frequency component through a window function weighting algorithm to generate a target frequency value, and a capacitor bank dynamic tuning unit inquires a mapping table according to the target frequency to adjust series-parallel connection combination of the super capacitors and injects a reverse reactance component to offset a resonant impedance difference value. And the charge state compensation unit predicts the residual charge quantity by using a Kalman filter, and triggers a charge redistribution strategy in a non-pulse period, thereby solving the problems of insufficient dynamic impedance matching and low charge balance efficiency in the traditional technology, realizing high-efficiency and low-consumption management of the energy of the super capacitor, improving the energy transmission efficiency, and reducing the energy consumption. And the endurance time of the equipment is prolonged.

The invention relates to the technical field of contact resistance detection, in particular to a contact resistance detection method for data line connection stability, and the method comprises the steps: applying high-frequency pulse excitation, obtaining excitation response signals under to-be-detected and standard states, carrying out dynamic impedance modeling decomposition, and extracting an impedance component to be analyzed and a standard impedance component. Constructing an impedance peak position difference change coefficient based on a difference change trend and an average level of time corresponding to an impedance peak position, and calculating a contact interference factor of each component; meanwhile, the fluctuation consistency is evaluated by using the information entropy of the impedance peak amplitude difference, and the impedance amplitude difference consistency is determined. And combining the two to construct a superposition interference characteristic value, screening effective impedance components with small interference, and performing dynamic fusion to obtain a dynamic impedance spectrum after the contact interference is eliminated. And finally, high-precision transient calculation of the contact resistance is realized through a dynamic impedance-resistance conversion model.

The invention discloses a detection method, equipment and medium for a new energy high-power direct-current charging pile, and relates to the technical field of charging pile stability detection, and the method comprises the steps: controlling a direct-current electronic load to generate a load disturbance signal at N characteristic working points, collecting instantaneous value change data through a broadband data collection center, and calculating the stability of the charging pile according to the instantaneous value change data; and based on the dynamic load disturbance signal and the instantaneous value change data, calculating the pulse response characteristics of the to-be-tested DC charging pile at the N characteristic working points through a correlation function analysis method, constructing a dynamic impedance characteristic model, and based on the safe working area three-dimensional boundary map, the electric energy quality indexes of the N characteristic working points and the dynamic impedance characteristic model, calculating the dynamic impedance characteristic of the to-be-tested DC charging pile. And evaluating and diagnosing the comprehensive performance of the direct current charging pile to be tested. According to the direct current charging pile comprehensive performance detection method based on dynamic load disturbance, accurate physical examination of the overall performance of the charging pile is achieved, and the detection depth, precision and predictability are improved.

The invention provides a performance simulation test method and system for a pumped storage power station. The method comprises the following steps: acquiring characteristic data of the pumped storage unit, and performing characteristic line method analysis and dynamic impedance modeling to obtain a nonlinear hydraulic system mathematical model; constructing a synchronous generator model and an excitation system model, and constructing an AGC control model and a primary frequency modulation control model; generating a simulation system; generating a coordination control strategy by using a variable gain PID control algorithm based on a fuzzy control theory, and a dynamic weight distribution mechanism and a feed-forward compensation mechanism of an AGC instruction and a primary frequency modulation response; and executing a simulation test of a normal operation condition, a large disturbance condition and a condition switching process, and generating a performance test result. Through accurate modeling and coordinated control strategies, the problem of mutual interference between AGC and primary frequency modulation is solved, the stability and response speed of the pumped storage power station in power grid frequency regulation are improved, and the frequency modulation performance of a unit under different working conditions can be comprehensively evaluated.

The invention discloses an overcharge load and multi-element energy storage equipment suitability analysis method, device and equipment, and relates to the field of energy storage, and the method comprises the following steps: obtaining the real-time data of an overcharge load, extracting a random pulse component from the overcharge load, carrying out the integration, and generating a load quantification parameter; dC bus ripples are used as a non-intrusive excitation source, a dynamic impedance spectrum is analyzed and solved through cross-power spectral density, a self-adaptive physical characteristic reconstruction model is constructed based on the dynamic impedance spectrum, an energy storage system is reconstructed, and capacity reconstruction parameters are output; establishing a cross-dimensional mapping mechanism of physical loss and economic cost, mapping the dynamic impedance spectrum into life marginal cost, calculating expected service earnings in combination with load quantization parameters, and constructing a profit and loss game objective function; and optimizing the objective function of the profit and loss game by taking the capability reconstruction parameter as a hard constraint, and generating an adaptability analysis report. The method is used for solving the problem that the optimal balance of life and income cannot be realized due to the fact that the physical state sensing of the battery is lagged in the overcharge transient state.

The invention relates to a frequency converter dynamic performance optimization control method, and belongs to the technical field of power electronics. The method comprises the steps that frequency converter operation and device characteristic signals and external working condition correlation signals are collected in real time and integrated into a multi-dimensional operation data set, an analysis model is built, and a mapping relation is preset; extracting transient characteristics of a device switch, calculating a dynamic impedance parameter based on a mapping relation, and matching a parameter self-tuning rule base to generate a current loop proportionality coefficient, an integral time constant and a modulation wave duty ratio correction; a rotating speed and current double-loop fusion framework is built, the weight of an outer loop is dynamically adjusted according to rotating speed deviation and load sudden change, an inner loop adopts an adaptive reaching law and disturbance compensation, and a cooperative control instruction is generated through inter-loop interaction; monitoring instruction execution data to form feedback, correcting a model mapping relation and optimizing control parameters. The dynamic response precision of the frequency converter under complex working conditions is improved, the anti-disturbance capability is enhanced, and meanwhile, the device operation loss and the manual debugging cost are reduced.

The invention discloses an electrical stimulation control method and device based on impedance feedback and a medium, and relates to the technical field of electrical stimulation. According to the scheme, a target electrical stimulation output mode set by a user is collected through a man-machine interaction module, and an initial impedance value of a detected target is detected through an impedance and voltage detection module; the main control module generates an initial output parameter according to the target electrical stimulation output mode and the initial impedance value, and the electrical stimulation module executes electrical stimulation output; the dynamic impedance value of the measured target is continuously monitored in the output process, and when the impedance of the measured target changes, the initial output parameter is adjusted so as to correct the electrical stimulation output. That is, according to the scheme, the impedance change of the measured target is continuously monitored in the electrical stimulation output process, and when the difference between the dynamic impedance value and the initial impedance value is found, the initial output parameter is adjusted to correct the electrical stimulation output so as to adapt to the dynamic change of the human skin impedance and maintain the stability of the current; and the safety and the reliability of electrical stimulation output are ensured.

The invention discloses a power supply modular combination method and system based on a standardized interface. The method comprises the following steps: step 1, collecting data through a sensor; 2, the central control hub fuses data and establishes a four-dimensional collaborative model; 3, the MOSFET driving circuit carries out adjustment according to a control instruction of the central control hub; and 4, the AI prediction current sharing module predicts the load change trend of the current power supply system and the performance degradation condition of each module through a built-in machine learning model, and dynamically adjusts the current distribution of each module based on the prediction result in combination with a target current value in an instruction, thereby realizing the current distribution of the power supply system. The system comprises a central control hub, a sensor unit, an AI prediction current sharing module and an MOSFET drive circuit. The method has the advantages that dynamic impedance matching and current sharing control closed loop are achieved, AI prediction current sharing is achieved through a machine learning model, output impedance and current distribution of a power module are accurately controlled, load changes are dynamically adapted, and current sharing precision and system stability are improved.

The invention discloses a phased-array antenna control method and system based on impedance matching, a medium and a product, and relates to the technical field of antennas. In the method, before the phased-array antenna works, a target impedance matching parameter is calculated for active input impedance under each preset scanning angle point; establishing a target mapping relation table based on the plurality of preset scanning angle points and the corresponding target impedance matching parameters; during the working period of the phased-array antenna, receiving a target scanning angle, and calculating to obtain a corresponding beam pointing phase value for each antenna unit in the antenna array according to the target scanning angle; determining a real-time impedance matching parameter based on the target scanning angle and the target mapping relation table; and loading the beam pointing phase value to a phase shifter in the feed network, and applying a real-time impedance matching parameter to the dynamic impedance matching network, so that the input impedance of the antenna array is matched with the characteristic impedance of the feed network. By implementing the technical scheme provided by the invention, the radio frequency performance of the phased-array antenna is improved.

The invention discloses a multi-sensor fusion power transmission and transformation equipment intelligent inspection method and system, and relates to the technical field of power intelligent inspection, and the method comprises the steps: collecting electromagnetic radiation, temperature field and sound wave signals of partial discharge through electromagnetic, infrared and ultrasonic sensors, and respectively extracting an amplitude envelope, a temperature rise rate and a sound pressure attenuation coefficient; synchronizing the multi-modal data by using a space-time alignment network, adjusting the weight of each modal data through the dynamic impedance matching degree, and generating an updated fusion feature vector; and performing anomaly identification according to the updated feature vector, and outputting a partial discharge identification result. The technical problems that existing power transmission and transformation equipment partial discharge detection depends on a single sensor and is insufficient in detection accuracy, prone to being interfered by the environment and inaccurate in fault positioning are solved, the accuracy and the anti-interference capacity of partial discharge detection are improved through multi-sensor fusion and dynamic impedance matching degree adjustment, and the reliability and the reliability of partial discharge detection are improved. And the technical effect of accurate fault positioning is realized.

The invention belongs to the technical field of electromagnetic detection, and particularly relates to an electromagnetic detection transmitting system for urban underground space and a control method, the electromagnetic detection transmitting system comprises a direct current power supply, an inverter and a load which form a traditional electromagnetic transmitting circuit, and a composite impedance matching network is connected in series between the inverter and the load; the composite impedance matching network comprises an active matching network and a passive matching network, the active matching network comprises an H bridge circuit composed of four IGBT transistors and a coupling transformer, one output end of the inverter passes through one end of the secondary side of the coupling transformer, and the primary side of the coupling transformer is connected with the H bridge circuit; and one end of the passive matching network is connected with the other end of the secondary side of the coupling transformer, the other end of the passive matching network is connected with one end of the load, and the other end of the load is connected with the other output end of the inverter, so that the situation that the emission energy of the full-aviation emission system of the unmanned aerial vehicle is weakened due to dynamic impedance change generated in actual motion is avoided.

This application relates to the field of radio frequency (RF) power supply technology, and discloses a gain calibration method, a dynamic impedance testing method, equipment, and dielectric. The gain calibration method includes: acquiring multiple RF power measurements, where the RF power measurements are the output power measurements of an RF power supply in an open-loop state under multiple load impedance values; performing two-dimensional interpolation fitting in the complex plane of reflection coefficient based on the load impedance values ​​and the RF power measurements to obtain a continuous power distribution; selecting a minimum RF power value in the complex plane of reflection coefficient based on the continuous power distribution to obtain a target minimum RF power value; and calculating the gain of the RF power supply based on the target minimum RF power value, the load impedance value corresponding to the target minimum RF power value, and a preset characteristic impedance value. The embodiments of this application can improve the accuracy of RF power supply gain calibration and reduce the impact of environmental noise and small impedance fluctuations.

The invention relates to the technical field of communication, discloses a dynamic impedance matching method and system for a radio frequency switch and an attenuator, and aims to solve the technical problems that signal reflection is increased, insertion loss is increased and system performance is reduced due to the fact that a traditional fixed impedance matching network cannot adapt to port impedance change during state switching of the radio frequency switch and the attenuator. The method comprises the following steps: monitoring control signal changes of a radio frequency switch and an attenuator in real time, and generating a state identification code representing a current working state; and taking the identification code as an index, and retrieving a corresponding optimal tunable network control parameter from a pre-stored calibration parameter lookup table. By means of the scheme, rapid and accurate impedance matching can be achieved under all working state combinations, reflection loss and insertion loss are remarkably reduced, signal integrity and linearity are improved, and the overall performance and environmental adaptability of the system under broadband and multi-state application are improved.

The application discloses a waveguide mode priority control system based on a coating technology and relates to the field of waveguide gas lasers.The system comprises a boundary construction unit, a radial discharge unit, a mirror cooling unit and a basic mode optimization unit.The boundary construction unit is sequentially distributed with a central clearance mode surface, a peripheral closed traction ring and an outer return discharge belt from inside to outside on the inner surface of an electrode plate.The radial discharge unit is provided with a radial discharge bridge between the traction ring and the discharge belt, and a gradient conductive layer with continuously decreasing resistivity is laid on the surface of the bridge.The mirror cooling unit is provided with a mirror cooling flow channel and a cooperative heat dissipation structure at the position corresponding to the traction ring and the discharge bridge inside the electrode plate.The basic mode optimization unit is connected with a dynamic impedance matching compensation network.Through deep cooperation of space geometry traction, gradient impedance outer guide and isomorphic thermodynamics locking, the application intercepts and directionally discharges micro-discrete charges, avoids the invasion of charge boundaries into the core clearance area, effectively dissipates the energy of high-order mode flanks, and thus stabilizes the output of high-purity basic mode priority laser beams.

The application relates to the technical field of battery management systems, and discloses a battery pack fault diagnosis method and system based on physical enhancement and machine learning. The method is based on an interpolation parameter matrix to construct an improved extended Kalman filter model, to obtain state estimation, reference voltage and residual information of a battery monomer; a physical enhancement self-encoder is constructed, current, state estimation, temperature or equivalent environmental variables and monomer residuals are taken as context inputs, combined with consistency reference of other monomers, to reconstruct a health reference voltage response of a target monomer; dynamic impedance response, event locking features, local consistency features, sensor bias / noise features and aging persistence features are extracted to form a mechanism feature space facing connection faults, sensor faults and battery aging; a cascade random forest model is adopted to realize fault screening and fault type identification, and online diagnosis results are post-processed through current gating, sliding window lag and physical priority correction strategies.

The present application relates to the field of underground fluid intelligent control, and discloses a method for intervention and extraction of ion type ore body solute migration, comprising: establishing a feedback monitoring network for a fluid injection distribution system, obtaining pressure parameters and flow parameters generated by interaction between a controlled branch and a controlled medium; calculating dynamic impedance parameters of internal seepage resistance state of the controlled medium; extracting a follow-up change rate of the dynamic impedance parameters, identifying nonlinear evolution of pore structure induced by flow resistance mutation; comparing the follow-up change rate with a preset threshold value to determine bypass overflow risk; generating a flow dynamic distribution instruction and adjusting valve opening to make the local flow field stable within a preset flow resistance gradient range, wherein the present application solves the problem of sensing loss induced by formation porosity evolution through a dynamic flow resistance feedback intervention mechanism, drives fluid to penetrate into unconsolidated blind areas, and constructs a continuous and dense seepage interception interface.

The utility model discloses a multichannel impedance measurement circuit and equipment. The multichannel impedance measurement circuit comprises a DAC module, a channel sub-module, a first chip selection module, a second chip selection module, an operational amplifier module, an ADC module and a comparator module. The DAC module is provided with a plurality of output channels; the channel sub-module is provided with a constant current loop, a constant current output interface and a signal acquisition interface, the constant current loop is provided with a plurality of resistance voltage dividing branches, the resistance voltage dividing branches are all connected to a first gating unit and a second gating unit, and the second gating unit is connected to the constant current output interface; the first chip selection module is respectively connected to the first gating units of the plurality of channel sub-modules; the second chip selection module is connected to the signal acquisition interfaces of the plurality of channel sub-modules; the operational amplifier module is connected to the first chip selection module and the second chip selection module, the ADC module is connected with the operational amplifier module, and the comparator module is connected to the operational amplifier module and a preset signal end. Therefore, multi-channel parallel testing can be supported, multiple testing scenes can be met, and dynamic impedance can be monitored.