256results about How to "Avoid mismatch" patented technology

The invention relates to the technical field of screw machine regulation and control, and discloses a screw machine regulation and control system and method based on machine vision, and the method comprises the steps: obtaining working area image information of a to-be-turned screw and a workpiece, inputting the working area image information into an image processing module to extract screw features, and matching the screw features with a preset screw feature set; therefore, the specification and geometric characteristics of the to-be-turned screw are determined. Based on the feature information, position features of the screw are determined, three-dimensional coordinate conversion is carried out, and the relative position relation between the to-be-turned screw and the workpiece is obtained. And determining an initial alignment path of the screw by using the relative position relationship, and setting tightening parameters of the screw machine according to the workpiece surface state and the screw specification. Subsequently, the tightening parameters are adjusted in real time according to the material hardness, the thread friction coefficient and the real-time temperature of the screw, the tightening parameters are dynamically adjusted by obtaining and analyzing the screw characteristics, the position relation and the environmental factors in real time, the precision and stability of the screw tightening process are improved, and the screw assembling quality is effectively guaranteed.

The utility model discloses an asynchronous floating mechanism of a double-pipe blind-plug connector and a cabinet type liquid cooling server, which belong to the technical field of blind-plug connectors and comprise two fixed pipelines, two floating pipelines, two supporting seats, a guide block and a mounting frame. The two supporting seats are slidably installed on the two sides of the guide block. A guide hole is formed in the guide block; a guide pin is mounted on the fixed pipeline; a mounting seat and a supporting column are radially mounted on the mounting frame in a floating manner; and a spring is sleeved on the supporting column. The guide hole guides the guide pin, so that the mounting seat is radially adjusted in a floating manner, radial alignment of the floating pipeline and the fixed pipeline is realized, and accurate insertion of the blind insertion joint is ensured; the spring supports the supporting seat, so that the blind plugging connector is ensured to be fully and thoroughly plugged; the two supporting seats are installed on the two sides of the guide block in a front-back sliding mode, axial asynchronous floating adjustment of the two floating pipelines can be achieved, and the situation that plugging of a single-side blind plugging connector is not in place is avoided. The problem of mismatching caused by machining tolerance and assembling factors in the butt-inserting process of the blind-inserting connector is effectively solved.

The invention discloses a physical field prediction method based on a deep fuzzy physical information neural network, and the method comprises the following steps: S1, collecting physical field data, carrying out the preprocessing of the data with noise, and obtaining a processed training data set Dtrain and a test data set Dtest; s2, constructing a deep fuzzy physical information neural network model; s3, inputting a physical field training data set with Gaussian noise and a corresponding partial differential equation, and training the neural network model to obtain a trained neural network model; s4, physical quantities in different time-space coordinates in the test data set are calculated through the trained neural network model, and physical field prediction is achieved; the method solves the problems that the existing physical information neural network method does not consider the condition that noise exists in a training data set, the training effect of a deep neural network model is poor under the interference of a noise data set, and physical information in a partial differential equation cannot be accurately learned, so that the prediction performance of a physical field is seriously reduced.

The invention discloses a dual-channel millimeter wave transmitter, a receiver and a transceiver system. The transmitter comprises a baseband signal processing circuit, a local oscillator signal processing circuit and a radio frequency front-end circuit comprising a high-frequency channel power amplifier, a low-frequency channel power amplifier and a signal synthesis switching circuit. The radio frequency front-end circuit selectively outputs signals of a high-frequency channel or a low-frequency channel through the signal synthesis switching circuit, and a current adjusting circuit is arranged in the baseband signal processing circuit and used for adjusting mismatch of a switching tube in the mixer. The disclosure also provides a dual-channel millimeter wave receiver and transceiver system based on the same concept. According to the invention, the problem of performance bottleneck of a single-channel transceiver in broadband application is solved, the system linearity is improved, the processing capability of high-order modulation signals is improved, and high power efficiency and high integration level are maintained through optimized circuit design.

The invention discloses an end-to-end intelligent direction of arrival estimation method based on subarray sampling, and belongs to the technical field of wireless communication. A sub-array sampling technology is adopted to replace traditional full-array sampling, and signal processing is completed by using fewer radio frequency links, so that the hardware cost is reduced; an end-to-end learning framework is adopted, so that a network can automatically capture features and rules according to a data set, and excessive dependence on a model is avoided; data features are preliminarily captured through a deep neural network, a pre-estimated value is given, then an iteration process of a maximum likelihood estimation method is converted into a deep expansion network, initialization is performed by using output of the deep neural network, and the effect of the method is improved while convergence is accelerated; a large number of data sets are generated through a sub-array sampling signal mathematical model, the network is trained, and the problem that overfitting is prone to occurring under a small data set is avoided. The method is suitable for the technical field of wireless communication, and realizes direction of arrival estimation with lower complexity and higher accuracy in a low-snapshot scene.

The embodiment of the invention discloses a bus voltage sampling circuit and a power supply system, and the circuit comprises a high-voltage sampling unit which is used for sampling a DC bus voltage and outputting a first voltage signal, and is connected with a first controller; the signal conversion unit is used for converting the first voltage signal into a current signal and outputting the current signal, and is connected with the output end of the high-voltage sampling unit; and the signal restoration unit responds to the current signal to output a second voltage signal, is connected with the output end of the voltage-controlled current source, and is also connected with the second controller. According to the embodiment of the invention, the direct current bus voltage of the first controller is converted into the current signal, then the current signal is restored into the voltage signal, and the voltage signal is input to the second controller, so that many mismatching problems of front and rear controllers are solved, and sampling of the direct current bus voltage is completed by one sampling circuit; the power consumption, the hardware cost and the PCB area caused by an extra sampling circuit can be avoided.

The invention discloses an oil sunflower field precise fertilization control system based on an unmanned aerial vehicle hyperspectral technology, and relates to the technical field of fertilization control. The system carries out precise region division on an oil sunflower field by utilizing a GIS technology through fusion of multi-source data such as hyperspectral data, soil humidity and temperature; and accurate fertilization can be carried out in different management areas according to soil characteristics and crop requirements. The differentiated fertilization strategy can reduce excessive fertilization and fertilizer waste and optimize the utilization efficiency of the fertilizer. The crop growth model is established through the deep learning technology, and the system can accurately calculate the required fertilization amount according to the specific growth conditions and historical data of each region, so that the growth conditions of the oil sunflowers are optimized, and the overall yield of crops is improved. The problem that a traditional fertilization system is difficult to effectively deal with soil and environment differences in different areas is solved. Through a hyperspectral technology and multi-source data acquired by a sensor, the system can realize accurate fertilization according to environmental differences in a field.

The invention discloses a knowledge graph entity alignment method fusing relation completion and mismatching detection. According to the method, knowledge maps to be aligned serve as input, firstly, missing relations in the knowledge maps are complemented, so that the structures of the two knowledge maps are symmetrical, a more comprehensive and accurate data basis is provided, and the negative influence of structural information difference is reduced; secondly, structure information, relation information and text information are coded into vector representation, the information is fused, joint vectors of entities are generated, relation and entity description information can be learned, and therefore the entity embedding quality and the accuracy of subsequent entity alignment results are improved; and finally, unmatched entities are predicted, the similarity of embedded entities is calculated based on the entity joint vector and the Euclidean distance, a preliminary entity alignment result is obtained, unmatched entities in the preliminary entity alignment result are filtered out, and a final entity alignment result is obtained.

The invention relates to the field of communication, and discloses an intelligent traffic scheduling optimization method, device and equipment and a storage medium, and the method is used for 5G network intelligent traffic scheduling optimization. The method comprises the following steps: receiving a service request, analyzing the service request to obtain a 5G standard service type, an application scene and a 5G network slice identifier, then obtaining an SLA parameter corresponding to the service request and a candidate link required by service transmission, and converting the SLA parameter into an SLA preference vector; acquiring global data of the candidate link, and predicting by using the network state prediction model to obtain a predicted network state of the candidate link; the SLA preference vector is used as optimization target guidance, the predicted network state is used as a constraint condition, and a global optimization routing strategy is calculated through a multi-target optimization algorithm; and generating a control message packet based on the global optimization routing strategy, issuing the control message packet to the network forwarding equipment, and adjusting parameters of the network state prediction model and the multi-objective optimization algorithm based on the actual performance data after execution.

The invention relates to the technical field of electrical detection, in particular to a multi-stress coupling environment reliability testing method for an electricity consumption information acquisition terminal. Comprising the steps of applying a combined stress field to an electricity utilization information acquisition terminal through an environment test box; acquiring power utilization information acquisition terminal parameters; the method comprises the following steps of: capturing metering pulse response and carrier communication interaction signals of an electricity utilization information acquisition terminal under the excitation of a combined stress field by utilizing an electrical sensor, extracting carrier signal-to-noise ratio data and metering reference drift data, and generating a reference voltage compensation coefficient and an impedance matching threshold value; projecting the carrier signal-to-noise ratio data to an impedance matching threshold value, and constructing a stress failure envelope surface according to a hardware overload protection threshold value; and mapping the communication quality distortion residual vector to a stress failure envelope surface, and calculating a reliability life prediction value. According to the method, a uniform excitation environment is constructed, and performance degradation of different dimensions is uniformly quantified into accumulative stress damage integral, so that the comprehensive anti-interference capability of the terminal in a multi-stress coupling environment can be truly reflected.

The invention discloses a tunnel-pile interaction experiment method and device based on a 3D printing technology, and belongs to the technical field of civil engineering underground structure tests. The method comprises the steps that the geometric and mechanical similarity ratio is determined according to an engineering prototype, a tunnel lining model and a pile group model are prepared through the 3D printing technology, and controllable adjustment of the rigidity of the tunnel model is achieved by adjusting the type, the filling rate and the internal structure of a printing material; controllable adjustment of the rigidity of the pile foundation model is realized by adjusting the size of the magnetic field; the model is placed in a soil body groove, the shield tunnel excavation process is simulated, and deformation data of a tunnel and a pile foundation are collected through a PIV technology and a sensor. Accurate control over the rigidity of the tunnel and pile foundation model is achieved through 3D printing, the influence of shield tunnel construction on the pile group foundation can be simulated under the condition that the similarity criterion is met, and the device has the advantages of being adjustable in structure, high in experiment efficiency and the like and can be used for researching a dense urban area tunnel-pile deformation coupling mechanism and optimizing related engineering parameters.

The invention provides a real-time disaster situation multi-dimensional verification alarm method and system based on a large model, and relates to the technical field of disaster situation response, and the method comprises the steps: carrying out the backtracking and calling of multi-source disaster situation associated data after a disaster situation early warning signal is received, and obtaining a heterogeneous disaster situation data set; starting a dynamic task chain scheduling mechanism, executing multi-priority thread trend analysis, and outputting a multi-dimensional index analysis result; executing multi-dimensional index cross verification, and outputting a disaster verification conclusion; disaster decision making is carried out, and a disaster decision instruction is generated; carrying out township-level disaster situation grid positioning, and outputting a disaster boundary coordinate set; after the thermal rescue target spot is framed, geological disaster avoidance analysis is carried out, and a safety buffer area is positioned; and executing an alarm verification response. The technical problems that in the prior art, a disaster monitoring and early warning system mainly depends on a step-by-step reporting mechanism, so that disaster information transmission is lagged, accuracy is lost, and timeliness and accuracy of post-disaster rescue work are affected are solved.

The invention relates to the technical field of energy storage, and discloses a battery cluster, a battery pack number verification method and energy storage equipment. The method comprises the following steps: acquiring the battery cell voltage of each single battery cell in each battery pack; determining the number of battery packs according to the number of the single battery cells and the battery cell voltage; calculating a first voltage according to the cell voltages of all the single cells; collecting a second voltage of the battery cluster; and based on the second voltage and the first voltage, verifying the number of the battery packs to obtain a verification result. The battery pack number is preliminarily determined according to the cell information collected by the control module, and the battery pack number is verified to obtain the accurate battery pack number, so that the battery pack number does not need to be manually configured, mismatching or missed matching caused by manual configuration is avoided, and the battery pack number detection accuracy is improved. Meanwhile, the working state of each battery pack can be accurately monitored according to the accurate number of the battery packs, and the stability and safety of the battery cluster in the operation process can be improved.

This application discloses a method, device, and electronic device for displaying energy flow in a power plant, belonging to the field of new energy power plant technology. The method includes: generating an energy flow diagram corresponding to the current power plant configuration and displaying it on an interface; the energy flow diagram includes multiple visual elements, each visual element including at least source nodes and carrier nodes representing power plant equipment, and path elements representing the energy flow relationship between source nodes and carrier nodes; responding to user interaction with any node or path element, determining the energy path where the interacted node or path element is located; updating the rendering state of the energy path on the interface to make the energy path appear locally focused relative to other energy paths. This application achieves energy path-level visualization and interactive analysis based on power plant equipment topology, improving the accuracy of expressing power plant energy flow relationships and the efficiency of analyzing multi-dimensional operational data.

Provided are a channel estimation method and apparatus, a program product, an electronic device, and a program product, which are applied to the technical field of communications, the method comprising: acquiring channel-related parameters corresponding to a current channel, the channel-related parameters being used for representing the performance of the current channel; determining an MMSE filtering order according to the channel related parameters; performing channel estimation according to the reference signal corresponding to the current channel to obtain a corresponding first channel estimation value; and determining an MMSE filtering matrix according to the MMSE filtering order and the channel related parameters, and performing filtering and interpolation on the first channel estimation value by using the MMSE filtering matrix to obtain a second channel estimation value. According to the channel estimation method provided by the embodiment of the invention, the MMSE filtering order is selected by identifying the performance of the current channel, so that the problem that the currently determined MMSE filtering order is mismatched with the current channel due to quick change of the state of the current channel can be avoided, and the performance loss is reduced.

The application provides an intelligent inventory control management method and system based on a supply chain cooperation mechanism, applied to the technical field of supply chain management, preliminary demand prediction of a downstream partner is received, demand intention information containing customization component possibility weight and potential demand range is generated according to the prediction, after the upstream supplier receives the demand intention information, the influence of the demand intention information on future production resources is further evaluated, an evaluation result is obtained, finally, according to the evaluation result, the method performs flexible preparation in advance, including production window soft reservation, upstream material pre-communication and special mold preparation, effectively coping with the supply uncertainty of the customized components, avoiding the dilemma of standard component overstock and customized component shortage, realizing lean production and on-time delivery, and bringing significant economic benefits and competitive advantages to enterprises.

The present invention discloses an antenna system, including a reflector, the reflector is provided with a first through hole; a power division network, the power division network is provided on one side of the reflector; a radiation vibrator, the radiation vibrator is provided on one side of the reflector, and the radiation vibrator is electrically connected to the power division network; and a phase shift network, the phase shift network is provided on the other side of the reflector, the phase shift network is provided with a connection part, and the connection part is electrically connected to the power division network via the first through hole. In the antenna system, the power division network and the phase shift network are respectively provided on both sides of the reflector, and the reflector is provided with a first through hole, so that the connection part of the phase shift network can be directly electrically connected to the power division network through the first through hole, eliminating the cables required for phase shifting and matching, reducing the welding points, simplifying the assembly process, and avoiding the network mismatch and intermodulation problems caused by too many welding points.

This invention discloses a semi-physical simulation platform and control system for a dispensing machine, comprising: a mechanical execution module: simulating nozzle deformation through a quantum dispensing head virtual environment to generate first physical data, and integrating a rigid-flexible coupling platform and a laser interferometer to capture high-speed trajectory pose deviations to generate second physical data; a digital hydraulic drive module: simulating fault repair dynamics using a converter pump and a quantum attenuator to generate third physical data; an edge-cloud collaboration module: constructing a twin based on an FPGA-quantum architecture to generate fourth physical data, and generating fifth physical data through transfer learning AI algorithms to optimize hydraulic pump and valve strategies; a global monitoring and diagnostic module: constructing a multi-physical quantity model through fiber optic-quantum sensors to generate seventh physical data to evaluate wide-temperature-range stability, and generating sixth physical data; and a simulation comprehensive management module: evaluating the platform's stability under wide-temperature-range and complex vibration scenarios.

The invention relates to the technical field of ceramic processing, and discloses a ceramic embossment golden silk screen printing carving device which comprises a processing table used for placing a ceramic plate, a three-axis moving platform used for driving a carving knife to move in the X-axis direction, the Y-axis direction and the Z-axis direction is arranged above the processing table, and a transverse positioning mechanism and a vertical positioning mechanism are arranged on the three-axis moving platform. The transverse positioning mechanism and the vertical positioning mechanism clamp and limit the four ends of the ceramic plate in the moving process, it can be guaranteed that an included angle is formed between the carving knife and the ceramic plate while the four ends of the ceramic plate are clamped, and patterns carved by the carving knife can be accurately matched with the size of the ceramic plate conveniently; the problem that a carving pattern is not matched with a ceramic plate due to inaccurate tool setting is avoided, the positioning accuracy is improved through mechanical clamping and positioning, and repeated positioning and debugging of the carving tool are avoided.

The invention relates to the technical field of mobile robot navigation, and discloses a robot adaptive motion control method and system, and the system comprises a step test module which is used for recording odometer data and control quantity data with a timestamp; the parameter fitting module is used for analyzing the odometer data and the control quantity data and establishing a mapping function of the control quantity and the movement speed; the delay compensation module is used for maintaining a historical control quantity queue and predicting the expected pose of the robot when the control instruction sent at the moment t is executed based on the control delay tau; the multi-objective optimization module is used for solving the optimal control quantity; and the online updating module is used for continuously collecting motion data in the motion process of the robot and dynamically updating the mapping function and the key parameters. According to the method, actual motion parameters are automatically obtained through step testing, different robot individuals and performance attenuation scenes are adapted, the problem of model mismatching is solved, and time delay compensation is controlled to reduce positioning deviation.

This invention discloses a comprehensive management method for transparent inspection of power grid materials based on the Internet of Things (IoT), belonging to the field of power material management technology. The method includes the following steps: deploying a three-axis vector probe array at the material entry channel to collect multi-point spatiotemporal signals and calculate the field strength distribution, generating an electromagnetic disturbance spatiotemporal matrix, and outputting a radio frequency identification (RFID) tag resonance drift risk matrix. This invention models electromagnetic disturbance sources using a three-axis vector probe array, combines resonance registration fingerprinting and frequency band compensation to achieve dynamic correction of RFID frequency drift, and integrates phase-encoded backscattering and strain acoustic features to ensure identification consistency. By utilizing optical time reference synchronization and phase-programmable metasurfaces to reconstruct the near-field environment, an adaptively adjustable identification space is constructed, improving the identification stability and traceability reliability of power grid materials under high-disturbance environments, thus breaking through the bottlenecks of traditional identification technologies.

The invention provides a power distribution network resource scheduling method and system based on computing power network integration, and belongs to the technical field of data processing and resource scheduling, and the method comprises the steps: obtaining a plurality of communication signals and a plurality of corresponding service requests, and packaging the communication signals and the service requests into a plurality of standardized data; corresponding response tasks are generated according to the service requests, and task resource requirements of the response tasks are determined; performing resource scheduling on each response task according to each task resource demand and a preset resource scheduling model, and determining resource configuration of each response task; according to each resource configuration, scheduling and allocating a plurality of virtual resources to each response task from a preset resource pool; and according to each response task and a plurality of corresponding virtual resource units, carrying out data processing on each piece of standardized data, so that by implementing the method and the device, the problems of relatively low utilization rate of power distribution network resources and inflexible scheduling in the prior art can be solved.

This application relates to the field of gas sensor packaging technology, specifically to an automated packaging method, system, and packaging device for gas sensors. The method includes: pre-establishing a packaging process parameter-gas-sensitive channel adaptation model; calculating the actual coaxiality deviation and correcting the sealing pressure reference value based on the gas-sensitive channel aperture; starting the integrated packaging unit, applying pre-pressure according to the corrected sealing pressure, and simultaneously collecting the temperature of the sealing area through an infrared temperature measurement module to determine whether dynamic adjustment of the welding temperature is needed; after welding, maintaining the corrected sealing pressure, and dynamically adjusting the pressure holding time based on the gas-sensitive channel length and the creep coefficient of the sealing material to complete the sealing process. This application achieves a precise balance between sealing performance and conduction efficiency by establishing a dynamic adaptation model of process parameters and gas-sensitive channel structure, overcoming the coupling imbalance bottleneck of existing technologies.

The invention provides an LED epitaxial structure and a preparation method thereof, and the LED epitaxial structure sequentially comprises a buffer layer, a cut-off layer, a first-type semiconductor layer, an active layer and a second-type semiconductor layer which are located on a substrate from bottom to top. Wherein the second type semiconductor layer sequentially comprises a second type limiting layer, a second type transition layer, a second type current expansion layer and a second type ohmic contact layer from bottom to top. Through the arrangement of the second type transition layer, the problem of material mismatch of the LED can be solved, and the performance of the LED is improved.

The application discloses a kind of conformal array rotation interference amplitude-phase error correction design methods, first, construct rotating array signal receiving model, according to the radius of rotating platform and angular velocity calculation rotating guide vector, construct rotating array channel amplitude-phase error model, correction source incident signal information acquisition, record the rotation angle of precision turntable;Covariance matrix is solved to the received data and eigenvalue decomposition, construct amplitude-phase error calculation equation;Solve amplitude-phase error matrix, construct amplitude-phase error correction matrix and correct the received data;Solve adaptive weight vector, and weighted output is carried out to the corrected data.The application compared with traditional array amplitude-phase error correction scheme, system structure is simple and easy to realize, without specific algorithm can be completed to the amplitude-phase error caused by array receiving channel is accurately corrected, effectively solve the receiving channel mismatch problem, improve array anti-interference performance.

This invention discloses an ultrasound-guided minimally invasive Achilles tendon suturing navigation device, belonging to the field of medical device technology. It includes a clamp body structure and two navigation mechanisms. The clamp body structure includes a connecting shaft, a clamp handle, and clamp heads. The clamp handle and clamp heads are connected by the connecting shaft. The clamp heads are located on the clamp handle, and there are two clamp handles and two clamp heads. The two navigation mechanisms are located on the two clamp heads respectively, and the two navigation mechanisms on the two clamp heads are interconnected. In use, ultrasound is used preoperatively to determine the course of the sural nerve and its accompaniment to the small saphenous vein to avoid intraoperative injury. During the procedure, the position and thickness of the Achilles tendon are confirmed under ultrasound guidance. Simultaneously, the navigation mechanism is passed through the Achilles tendon at an appropriate position, fixed, and the needle core is removed. Finally, the suture is passed through a cannula.

The invention discloses a frequency dividing circuit which comprises an input module, a first delay module, a second delay module and a third delay module. The first delay module is used for responding to a first level state of the input module and outputting a first signal based on a level value of a positive output end of the input module; the second delay module is used for outputting a second signal based on the level value of the negative output end of the input module in response to a second level state of the input module; the third delay module is used for generating a first frequency multiplication signal based on the output signal of the positive output end of the input module and outputting a third signal based on the first frequency multiplication signal; wherein the ratio of the frequency of the first frequency multiplication signal to the frequency of the output signal of the positive output end of the input module is a preset integer. According to the frequency dividing circuit, the duty ratio of each output signal of the frequency dividing circuit can be different through different processing modes of each delay module on different output signals of the input module, so that the mismatching problem existing in high-speed and high-precision clock application of the frequency dividing circuit is solved.

The invention discloses a photoelectric turret visual axis stability control method based on self-adaptive disturbance prediction compensation and a computer product, and the method comprises the following steps: S1, establishing a gyro speed loop discrete model, calculating the deviation between the output of the model and the angular velocity of a visual axis measured by a gyro, and obtaining a disturbance estimation value through an inverse model and a low-pass filter; s2, constructing a mathematical model of disturbance based on a recursive least square method, and performing multi-step forward prediction on equivalent disturbance by using the model; and S3, carrying out weighted fusion on the predicted equivalent disturbance and the real-time disturbance estimation value, and finally feeding a fused compensation signal forward to the input end of the control system to counteract the influence of the actual disturbance on the system. According to the method, real-time estimation and dynamic prediction are fused, the learning-prediction capacity is added on the basis of perception-compensation of a traditional DOB, the method is suitable for a photoelectric turret control system which is remarkable in periodic disturbance or sensitive to delay, phase lag of the traditional DOB is reduced, and the stable control bandwidth and disturbance rejection capacity of a visual axis are greatly improved.

The invention provides a broadband gain positive slope amplitude-phase control multifunctional chip for a T / R assembly, which relates to the technical field of radio frequency integrated circuits and comprises a receiving channel, a transmitting channel, an equalization circuit, a numerical control attenuator, a numerical control phase shifter, a transmitting-receiving change-over switch module and a parallel control module. The parallel control module is used for outputting parallel control signals to the numerical control attenuator, the numerical control phase shifter and the transceiving change-over switch module; the equalization circuit is respectively connected with the receiving channel and the transmitting channel through the transmitting-receiving change-over switch module, so that a signal path of the receiving channel and a signal path of the transmitting channel multiplex the equalization circuit, the numerical control attenuator and the numerical control phase shifter; and the equalization circuit is of an on-chip integrated structure and is used for adjusting the gain of the receiving channel and the gain of the transmitting channel to present a positive slope characteristic relative to the frequency in a wide frequency band so as to compensate the frequency attenuation of an external device.

The application provides a kind of adaptive virtual impedance low voltage ride-through method suitable for hydrogen fuel cell system, it is related to hydrogen fuel cell power generation control technical field.The application obtains the current tolerance and reactive power support boundary in future time window accurately by using dynamic capability prediction model after triggering low voltage ride-through mode by real-time monitoring grid-connected point voltage and fuel cell body state, provides accurate constraint for adaptive adjustment of virtual impedance.Based on this boundary and voltage drop characteristics, a multi-objective optimization model is constructed, and the optimal virtual impedance value and power command change trend are obtained by solving, overcoming the mismatch problem of fixed virtual impedance.Further combined with the dynamic adjustment of converter and fuel cell controller, the virtual impedance can track the system operating condition changes in real time, while considering the reactive power support demand to suppress fault current impact and avoid oscillation or off-grid.The application improves the ride-through success rate and operation stability of hydrogen fuel cell power generation system under low voltage fault.