362 results about "Calibration instructions" patented technology

The invention relates to the technical field of online calibration, in particular to a multi-parameter fusion intelligent electric energy meter online calibration method and system, and the method comprises the following steps: collecting voltage waveforms, current harmonics and active power data, dividing windows, calculating a covariance matrix, and generating a feature set; a power factor curvature extreme value and a temperature inflection point offset are analyzed to generate an interference identifier, current density distribution and a voltage distortion spectrum are jointly analyzed to extract a harmonic energy ratio to generate a feature vector, and phase compensation is performed on a pulse sequence to generate a calibration instruction set. According to the method, the covariance matrix is constructed by synchronously collecting voltage and current power parameters, the abnormal mark section is generated by combining the temperature change and the covariance difference value, the environment disturbance and the real deviation are effectively distinguished, and the temperature hysteresis effect is identified through the power factor curvature extreme value and the temperature inflection point offset. And combining current density and voltage distortion spectrum analysis to extract a fundamental wave and harmonic wave energy ratio, establishing a composite calibration reference, and dynamically adjusting a pulse duty ratio to realize harmonic wave energy compensation.

The invention provides a wind measurement laser radar optical automatic calibration method and system based on reinforcement learning, and relates to the technical field of calibration, and the method comprises the steps: obtaining the initial state information and environment parameters of a wind measurement laser radar optical system, constructing a three-dimensional simulation model of the wind measurement laser radar optical system, performing a multi-field coupling simulation test on the three-dimensional simulation model to obtain wind measurement data and wind measurement error data under the current environmental condition, and constructing a mapping model of wind measurement errors and environmental parameters and wind measurement laser radar optical system state parameters; and inputting the wind measurement error data and the mapping model into a preset reinforcement learning model to obtain an optimal calibration parameter set in a current state, generating a calibration instruction of the wind measurement laser radar optical system according to the optimal calibration parameter set, and performing aberration correction by combining online wavefront detection and adaptive optical compensation to obtain a calibration result of the wind measurement laser radar optical system. And automatic calibration of the wind measurement laser radar optical system is completed.

The invention relates to the technical field of electromagnetic flowmeter calibration, and discloses an electromagnetic flowmeter online calibration system and an acquisition and storage device. The system comprises a signal acquisition module, a data processing module, an error analysis module, a parameter calibration module and a real-time monitoring module. The signal acquisition module captures an original signal waveform through a multi-channel sensor array and acquires flow signal data to generate a state set; the data processing module uses a wavelet packet transformation and adaptive filtering combined algorithm to reduce noise and extract features; the error analysis module constructs a dynamic time warping error matching model to obtain an error correction coefficient; the parameter calibration module adopts a fuzzy control and proportional integral differential composite strategy, and adjusts excitation current and electrode sensitivity according to an error correction coefficient; the real-time monitoring module establishes a rolling optimization model with time-varying constraints, and generates a calibration instruction in combination with signal stability and power consumption limitation. According to the system, online accurate calibration of the electromagnetic flowmeter is realized, and the measurement accuracy and the equipment operation stability are improved.

The invention relates to a response characteristic calibration method, device and equipment of logging equipment and a storage medium. The method comprises the following steps: carrying out two-parameter response modeling on key parameters of logging equipment, and constructing a pressure-fluidity coupling response model; data acquisition parameters and signal filtering parameters of logging equipment are configured in a partitioned manner, and a multi-layer response parameter set is established. And processing the logging pressure and fluidity data sequence to obtain a logging data deviation characteristic spectrum and a response anomaly type matrix. And performing multi-target parameter optimization calculation on different layers of response parameter sets to generate a layered calibration parameter sequence. The layered calibration parameter sequence is analyzed, response benchmark analysis, response gain analysis and response compensation analysis are achieved, and a multi-layer response calibration instruction is obtained. And the calibration instruction is subjected to a comparison test under three working conditions, and a pressure-fluidity two-parameter calibration curve is generated. According to the method, accurate calibration of the logging equipment under various working conditions is realized, and the reliability of a calibration result is ensured.

The invention discloses a lithium battery diaphragm whole-process production data transmission optimization method and system, and particularly relates to the technical field of data transmission. Sensor data of a lithium battery diaphragm whole process is collected through a sensor array, the sensor data is extracted to obtain actual process parameters, and the actual process parameters are compared with preset process parameters; outputting the abnormal data; based on a space-time topological structure of a sensor, calculating space-time-function coupling weights among abnormal data, constructing a structural coupling matrix, identifying error clustering candidate bodies, and extracting space-time distribution characteristics and abnormal combination modes of the error clustering candidate bodies; performing structural classification on the error clustering candidate bodies by utilizing a preset rule engine, and outputting a deviation report; and outputting a sensor calibration instruction and a process fine tuning instruction based on the deviation report, thereby solving the problems that the deviation source is difficult to accurately identify, the key abnormal data transmission is not timely and the false alarm rate is high.

The invention discloses a digital twinning progress tracking and risk pre-control method for hydraulic engineering construction, and relates to the field of hydraulic engineering construction, and the method comprises the steps: obtaining mechanical positioning, material entering and environment monitoring data through a multi-source sensing terminal, and generating a time-space aligned construction situation data set; a progress weight template is activated based on the construction stage identifier, and a dynamic weight vector is generated in combination with the environment data; comparing the construction situation data with the reference model to calculate a comprehensive progress deviation index; when the index exceeds the limit, constructing a resource topological relation graph to generate an elastic scheduling instruction; outputting a derivative risk probability through the risk conduction model and generating an optimized scheduling instruction set; triggering a calibration instruction to feed back a correction parameter according to the execution data; by establishing a three-level calibration mechanism linked with the construction progress, the risk change and the environmental disturbance, layered accurate adjustment of data acquisition, environmental factors and model parameters is realized.

The invention relates to a lithium iron phosphate battery BMS parameter calibration method and device based on state estimation, and the monitoring method comprises the steps: obtaining real-time working data and historical working data, and carrying out the estimation based on the real-time working data and the historical working data, and obtaining an estimated electric quantity state and an estimated health state; training a prediction model I and a prediction model II for predicting the electric quantity state and the health state based on the historical working data; performing dynamic correction based on the estimated electric quantity state and the estimated health state to obtain a corrected electric quantity state and a corrected health state; and respectively calculating a deviation value I of the predicted electric quantity state and the corrected electric quantity state and a deviation value II of the predicted health state and the corrected health state, respectively comparing the deviation value I and the deviation value II with a preset threshold value of the deviation value I and a preset threshold value of the deviation value II, and judging whether a calibration instruction is generated or not. By dynamically calibrating the BMS parameters, the calibration accuracy of the electric quantity state and the health state during riding is improved.

The invention relates to a temperature calibration system and method, an upper computer, a readable storage medium and a program product. The system comprises an upper computer, a heating appliance and an infrared temperature measuring device, the infrared temperature measuring device and the heating appliance are connected with the upper computer, and the upper computer is used for responding to triggering of a target application, generating a temperature calibration instruction and sending the temperature calibration instruction to the heating appliance; the heating appliance is used for heating according to the temperature calibration instruction and a preset temperature; the infrared temperature measuring equipment is used for collecting temperature data of a heating body of the heating appliance and sending the temperature data of the heating body to the upper computer; the upper computer is further used for determining the target position of the heating body according to the heating body temperature data and judging whether the target temperature of the target position meets the calibration condition or not, and if the target temperature meets the calibration condition, calibration success is displayed on the display interface. By adopting the system, the heating performance consistency of the heating appliance can be improved, and the product percent of pass of the heating appliance is improved.

The invention relates to the technical field of production monitoring, in particular to a method, a system and equipment for monitoring key links of enzyme preparation production. The method comprises the following steps: acquiring equipment node information of an enzyme preparation production key link and equipment operation information corresponding to the equipment node information, and determining set operation parameters corresponding to each production equipment node in the production key link based on the equipment node information, determining an actual operation parameter corresponding to each production equipment node based on the equipment operation information, and performing backtracking calibration on the set operation parameter according to the actual operation parameter and a preset calibration algorithm to obtain a calibration operation parameter corresponding to each production equipment node, and determining whether the calibration operation parameters are consistent with the set operation parameters based on the production equipment nodes, if not, generating a parameter calibration instruction based on the calibration operation parameters and the set operation parameters, and controlling the production equipment corresponding to the set operation parameters to perform parameter calibration. The production quality of the enzyme preparation is improved.

The invention relates to the technical field of active phased-array antennas, in particular to an active phased-array antenna device with a built-in calibration network and a calibration method, and the method comprises the steps: carrying out the initialization configuration of a phased-array antenna, and setting the working state of the phased-array antenna; according to the set working state, the main control unit is used for judging whether re-calibration is needed or not; if it is judged that re-calibration is needed, the main control unit sends out a calibration instruction to start a calibration program, the amplitude and phase control unit is controlled through the calibration program to conduct calibration, and a corresponding two-dimensional standard table is generated and stored in a database storage unit; if it is judged that re-calibration is not needed, an existing two-dimensional standard table is obtained from a database storage unit; the current working frequency is obtained, and the attenuator value and the phase shifter value of each channel are configured according to the obtained two-dimensional calibration table, so that each channel of the phased-array antenna is calibrated, and the self calibration of the amplitude and the phase of the active phased-array antenna can be carried out at any time in the whole service life period.

The invention relates to the field of meteorological observation, and provides a networking X-band radar full-system differential reflectivity self-adaptive cooperative calibration method and system and a storage medium, and the method comprises the steps: collecting radar base data, and transmitting the radar base data to a data processing center; preprocessing the radar-based data, performing deviation detection on differential reflectivity data of the preprocessed radar-based data, and generating a calibration instruction based on a deviation detection result; based on the calibration instruction, automatically scheduling the radar to be calibrated to execute zenith calibration VPCAL mode scanning; in the scanning process, synchronously collecting VPCAL scanning data and transmitting the VPCAL scanning data to a data processing center; based on VPCAL scanning data, quantitative deviation is calculated and issued to a calibration execution unit; and carrying out automatic parameter adjustment on the X-band radar of which the quantitative deviation exceeds a threshold value, and sending a deviation warning to a user. According to the invention, the monitoring precision, the calibration precision and the quantitative rainfall estimation capability of the weather radar can be improved, and forecasting and early warning services and refined meteorological services are provided.

The invention relates to an intelligent control method, system and device for an automobile seat and a medium, and belongs to the field of automobile seat adjustment control. The intelligent control method comprises the steps that a control instruction data packet from a mobile terminal is received and converted into a vehicle CAN bus protocol data frame; analyzing an operation mode identifier in a vehicle CAN bus protocol data frame, and matching a corresponding target attitude parameter set; based on the real-time temperature data in the vehicle, dynamic compensation calculation is executed on the target attitude parameter set, and an after-compensation execution instruction set is generated; a motor control signal is sent to a seat executing mechanism; calculating a deviation value between the feedback signal data and the compensated execution instruction set, and if any deviation value exceeds a preset deviation threshold value, generating a mechanism calibration instruction; and acquiring final execution state data of the seat execution mechanism, and feeding back the final execution state data to the mobile terminal. Intelligent seat adjustment based on real-time feedback can be achieved, and it is ensured that a driver obtains the best comfortable experience in different scenes.

The invention discloses a measuring instrument automatic calibration method and system based on big data, and the method comprises the steps: obtaining the multi-dimensional operation data of a measuring instrument in real time through a sensor, and covering the equipment state and environment parameters; processing the data to generate an operation data set, and extracting a fluctuation characteristic value of the quantitative state change by adopting time sequence analysis; when the fluctuation characteristic value exceeds a preset threshold value, triggering depth characteristic decomposition to obtain deviation distribution information; on the basis of the information and in combination with historical records, the optimal calibration opportunity is judged through a machine learning model; and a calibration instruction is automatically generated and issued to the instrument control module to execute calibration. According to the method, the defects that traditional calibration depends on manpower and is not accurate in time are overcome, intelligent and automatic calibration based on the real state is achieved, the calibration precision and efficiency are remarkably improved, and the adaptability and robustness of the system in the complex environment are enhanced.

The invention discloses a control method for automatic feeding and discharging of a broach, and relates to the technical field of mortise broaching machines and mortise broaching machines. The control method comprises the steps that machining parameters are obtained, a tool changing instruction is generated, and storage position coordinates of a target broach are analyzed; according to the tool changing instruction, a posture calibration instruction is generated; a coordinate system of the guide rail truss is obtained, and a moving path of the moving frame is obtained; based on the advancing path, an inclination angle of 15-25 degrees is formed between the hook and the broach box hanging column; obtaining plug-in gap data, and generating a plug-in completion signal; the plug-in gap data is scanned, multi-source data fusion processing is carried out, and a quality evaluation report in the tool changing process is generated; and extracting the process parameter deviation value, the path planning time consumption and the metal material strength data in the quality evaluation report to obtain the structure safety coefficient of the broach assembly. The method has the effects of improving the efficiency and the safety during cutter loading and unloading, and improving the real-time performance and the flexibility of monitoring and adjusting the cutter loading and unloading process at the same time.

The invention belongs to the field of virtual image display, particularly relates to a spherical reflection cavity virtual calibration method based on a neural radiation field, and aims to solve the problems that micron-level deviation is difficult to accurately capture due to interference of a high-reflection surface, and an executable correction instruction cannot be generated by fusing process constraints. The method comprises the following steps: deploying image acquisition equipment around a cavity to synchronously capture a multi-view optical image sequence; inputting a neural radiation field model, reconstructing a three-dimensional geometric structure and optical properties through a volume rendering technology, and dynamically optimizing and fitting reflection characteristics and curvature changes of a carbon fiber material; extracting spherical radius, local curvature and boundary contour parameters, and comparing the parameters with design specifications point by point to generate a deviation distribution diagram; generating a multi-level calibration instruction set based on the deviation distribution diagram in combination with the laying layer tolerance and the assembly clearance; and outputting an instruction to the manufacturing system to execute physical adjustment, and re-collecting the image to verify the calibration effect until the acceptance index is met. According to the invention, the deviation capturing precision is improved, and a correction instruction can be generated.

The invention relates to a state of charge calibration method and device, a battery management system and a storage medium. The method comprises the following steps: determining equivalent cycle times of battery charging and discharging; under the condition that the equivalent cycle number is greater than a preset number threshold, sending a charge state calibration request; and receiving a state-of-charge calibration instruction returned based on the state-of-charge calibration request, and performing state-of-charge calibration processing on the energy storage battery according to the state-of-charge calibration instruction. By adopting the method and the device, the judgment accuracy of the calibration opportunity can be improved, and the accumulated error of the SOC is within an acceptable range.

The invention relates to the technical field of production state management, in particular to an LCD display screen production state collaborative management method based on the industrial internet, which comprises the following steps of: acquiring execution cycles and response delays of multiple devices, performing aggregation analysis, generating a rhythm synchronization parameter table, performing time sequence alignment to calculate time sequence offset and generating a time sequence calibration instruction; the method comprises the following steps of: analyzing current power and cycle deviation to form an equipment coupling trend, monitoring a scheduling rhythm correction execution sequence, dynamically estimating delay and optimizing a production state management cooperative control result, realizing cooperative measurement and difference identification through multi-equipment rhythm normalization aggregation, and improving state response precision and synchronization consistency through time sequence alignment; load coupling analysis balances energy consumption distribution and rhythm, whole-line scheduling correction realizes production rhythm balance and continuous operation, the resource utilization rate and the production efficiency are improved, process waiting and energy consumption fluctuation are reduced, and the system cooperation and self-adaptive regulation and control capability is enhanced.

The invention relates to an automatic printing calibration method and system combining vision and AI and a storage medium, a multi-mode sensing unit integrated on a printing head assembly synchronously collects two-dimensional images, three-dimensional shapes and working spacing data of a printing area in real time, and data fusion is carried out by using a model based on a neural radiation field; generating a high-fidelity multi-dimensional digital mapping; carrying out defect identification and positioning by adopting a pre-trained convolutional neural network CNN model, and predicting an optimal adjustment parameter according to the defect information and the historical sequence through a long short-term memory network LSTM model; the edge calculation and control unit is combined with a material characteristic database to generate a hierarchical calibration instruction in a millisecond level, adopts fuzzy PID self-optimization control to dynamically set PID control parameters, and is combined with feed-forward compensation of the inertial measurement unit to perform accurate, smooth and robust control on an execution mechanism, so that the accuracy of calibration is improved. And full-automatic, high-precision and real-time online calibration of the printing process in a complex industrial environment is realized.

The invention discloses a dynamic calibration control method for the detection precision of a non-standard automatic testing fixture, and particularly relates to the field of industrial automation and control, which comprises the following steps of: constructing a real-time dynamic error field model of the testing fixture; a distributed optical fiber sensing network and a miniature laser interferometer cooperatively collect real-time detection data and spatial-temporal variation errors under a multi-physics coupling effect, a precision degradation track is predicted based on spatial-temporal variation error data, a pre-compensation signal is generated, and a self-adaptive Kalman filtering algorithm is adopted to generate a precision compensation parameter. Environment temperature, vibration and electromagnetic interference data are monitored in real time, environment disturbance data are generated, a hybrid controller combining nonlinear model predictive control and reinforcement learning is adopted, multi-source data are fused, a calibration instruction is generated through multi-target optimization, and an execution mechanism is driven to achieve online dynamic calibration. And digital threads and transfer learning are integrated to realize full-life-cycle data closed-loop management and continuous optimization.

The invention provides a production equipment state real-time analysis method and system based on edge calculation, and relates to the technical field of information, and the method comprises the steps: analyzing the dynamic change trend of a light beam central axis according to the offset trajectory of the light beam central axis, and determining the spatial distribution characteristics of the light beam axis through the dynamic change trend of the light beam central axis in combination with an LED array arrangement SIC mode; if the adjustment angle in the lens calibration instruction set exceeds a preset angle threshold, dynamically adjusting the position of the optical axis of the lens according to the offset amplitude and direction of the optical axis, compensating the offset of the light beam axis in real time, and obtaining a calibrated optical axis parameter; according to the color temperature distribution uniformity, determining a target lens position through a lens position adjustment attribute; according to the calibrated optical axis parameters and color temperature distribution uniformity, stable light beam center axis distribution is determined, spectrum consistency is determined, and a performance evaluation data set is obtained through comprehensive evaluation.

The invention relates to the technical field of medical big data analysis, and discloses a hospital medical record data anomaly analysis method based on big data. According to the method, multi-source medical record data including diagnosis and treatment event records, nursing operation sequences and patient sign monitoring streams in a hospital information system are collected, and structured reforming is carried out. And constructing a medical record element interaction graph based on the reformed data, and detecting an abnormal state conduction path between the data elements through the graph model. And performing hierarchical traceability calculation according to the detected conduction path, positioning an abnormal source and generating a positioning report, and finally outputting a calibration instruction set according to the report. According to the method, the abnormal conduction chain is systematically identified from the correlation perspective, and the root source of the abnormality can be automatically and accurately traced, so that the logicality and the positioning accuracy of the medical record data abnormality analysis are improved.

The invention relates to the technical field of power system energy storage optimization, and discloses a terminal micro-grid energy storage optimization configuration method and system and a computer readable storage medium. Comprising the steps of generating load demand probability distribution and a new energy output confidence interval through deep learning and Bayesian probability modeling based on historical load and new energy monitoring data, extracting boundary parameters and mapping the boundary parameters into a quantum state initial solution set, and generating a quantum coding instruction set; a quantum algorithm population is initialized, a non-dominated solution set sequence is generated through quantum gate evolution operation, and a Pareto leading edge output optimization configuration scheme is screened; verifying feasibility in combination with local voltage data, and generating an executable control instruction set after fine tuning of capacity-position weight; and driving the energy storage unit to execute charging and discharging operation, collecting operation data, updating model parameters, finally separating probability weights and quantum deviations, adjusting a Bayesian model and resetting quantum gate parameters to generate a calibration instruction set. According to the invention, the energy storage configuration efficiency and precision can be obviously improved.

The invention discloses a high-precision zero magnetic flux compensation method, which comprises the following steps of: acquiring a detected current signal, and generating a magnetic field detection interface structure after noise reduction, frequency band extraction and magnetic sensitive configuration processing; performing magnetic field analysis, feature matching and resource optimization based on the data to generate efficient compensation parameters; final compensation output is generated through interference identification, compensation recombination and power adaptation; generating a calibration trigger mark through standard value comparison, stability evaluation and threshold judgment; and finally, forming a closed-loop calibration instruction set through type identification, strength calculation and time sequence arrangement, and completing parameter updating and verification. According to the invention, the precision and stability of current measurement are significantly improved, the interference of a complex environment is effectively suppressed, and the characteristics of strong adaptability and low power consumption are achieved.

The invention discloses a direct current motor control and automatic detection system and method, the system comprises an upper computer, a lower computer and a CAN bus communication unit, the upper computer comprises a calibration module, a position control module, a self-inspection module and a communication interface, and the calibration module is used for initiating an automatic calibration instruction and receiving and displaying a calibration result; the position control module is used for generating a target position instruction and receiving and dynamically displaying the real-time position of the motor; the self-checking module is used for initiating a one-key self-checking instruction and displaying a self-checking result; the lower computer comprises a main control chip, the main control chip is provided with an H-bridge driving circuit and an encoder acquisition circuit, the H-bridge driving circuit is used for driving the direct current motor to rotate forwards and backwards, and the encoder acquisition circuit is used for acquiring motor position signals; the CAN bus communication unit is connected with the communication interface of the upper computer and the main control chip of the lower computer through the USB to CAN module; according to the invention, faults can be automatically detected in the production and use processes of the DC motor, and the efficiency of production personnel and the product quality are improved.

The invention provides a multi-target adaptive optical tracking method and system for an unmanned intelligent turntable. The method comprises the following steps: acquiring a video stream and turntable attitude data on an unmanned intelligent turntable; carrying out scene understanding operation on the video stream, fusing the dynamic attention area and extracting spatial distribution information of a plurality of moving targets in a rotary table coordinate system; calculating an optical deformation parameter of the liquid lens, and driving the liquid lens to execute non-uniform optical curved surface adjustment, so that a focus area simultaneously covers a plurality of spatially dispersed moving targets; receiving distance data fed back by the distance measuring equipment, carrying out cross validation on the distance data and actual optical parameters of the adjusted liquid lens, and generating a cooperative calibration instruction when the deviation exceeds the tolerance; and synchronously updating the dynamic region of interest identification logic of scene understanding and an optical deformation parameter calculation strategy according to the instruction. According to the invention, the stability and spatial positioning precision of multi-moving-target tracking in a wide-area complex scene are improved.

The invention discloses a method and a device for testing a pressure-sensitive device and a storage medium thereof. The method comprises the following steps: establishing communication among a pressure device, the pressure-sensitive device and a calibration device; sending a calibration instruction to the pressure-sensitive device through the calibration device to control the calibration device to perform calibration operation on the pressure-sensitive device to obtain calibration information; controlling the pressure device to apply test pressure to the pressure-sensitive device, and obtaining a test result of the pressure-sensitive device according to the reading of the pressure-sensitive device, the test pressure and the calibration information; and under the condition that the test result is abnormal, re-executing the calibration instruction to obtain updated calibration information. The calibration instruction is re-executed according to the test result of the pressure-sensitive device to obtain the updated calibration information, so that the calibration operation of the test process is flexibly adjusted, and the test accuracy and the test efficiency of the pressure-sensitive device are improved.

The invention belongs to the technical field of calibration test, and provides a calibration test system and calibration test equipment, and the calibration test system comprises the calibration test equipment, control equipment and a plurality of to-be-calibrated test products. The calibration test equipment is connected with the control equipment and the plurality of to-be-calibrated test products, and is configured to execute the following steps: responding to a received calibration instruction issued by the control equipment, performing calibration test on the plurality of to-be-calibrated test products at the same time, and respectively obtaining a calibration result corresponding to each to-be-calibrated test product; and the control equipment is configured to execute the following steps: when the calibration result corresponding to each to-be-calibrated test product uploaded by the calibration test equipment is received, displaying the calibration result corresponding to each to-be-calibrated test product in the user interaction interface.

The invention discloses a ship oil tank oil quantity data monitoring method based on a recursive average filtering algorithm, and relates to the technical field of oil tank oil quantity monitoring. If the occurrence frequency of an abnormal value in collected data exceeds the expectation, a filtering coefficient is adjusted, and a current real-time monitoring value is output based on the recursive average filtering algorithm; the updating frequency of the real-time monitoring value is restrained according to the ship navigation condition, and if the oil amount of the oil remaining amount prediction value exceeds the oil amount threshold value, an alarm instruction is sent to the outside; analyzing and acquiring the intensity of the received alarm instruction, and if the intensity exceeds the expectation, sending a calibration instruction to the outside; after the sensor network is calibrated periodically, the error degree of the real-time monitoring value generated before calibration is judged, the filtering coefficient is optimized again, and the real-time monitoring value is output again based on the recursive average filtering algorithm. When the oil quantity of the oil tank is monitored, the output real-time monitoring value is closer to the actual value, and the error degree is lower.

The invention provides a switching amplitude consistency calibration method and system, and belongs to the technical field of microwave switching amplitude calibration, and the method comprises the steps: obtaining a calibration instruction, and measuring an initial radio frequency signal through a correction source; a power divider is used for carrying out signal distribution to obtain a radio-frequency signal with consistent amplitude, the radio-frequency signal is transmitted to a direction-finding matrix switch to obtain a signal subjected to matrix processing, a multi-channel receiver and an intermediate-frequency board card are used for processing to obtain multi-channel carrier amplitude information, and a channel amplitude difference and an error value of each channel are calculated; receiving actual amplitude information, and calculating a matrix error value by using a channel amplitude difference; calibrating the switching information according to the error value of each channel and the matrix error value to obtain an amplitude and phase consistency signal; according to the invention, the amplitude consistency and phase consistency of the switch system in a wide temperature range environment are improved, the insertion loss fluctuation of the switch system under a high isolation condition is reduced, the design and manufacturing processes are optimized, and the production efficiency of the switch system is improved.

The invention provides a wafer testing method and system and a testing machine, belongs to the technical field of semiconductors, and can improve the accuracy and efficiency of wafer testing. The method comprises the steps that a test machine receives a calibration starting signal from a test board, the calibration starting signal is used for indicating that a wafer is placed at a designated position, and the designated position is a position where the wafer does not make contact with the test board and the distance between the wafer and the test board is smaller than or equal to a distance threshold value; the test machine sends an open circuit calibration instruction to the test board, wherein the open circuit calibration instruction is used for eliminating adverse effects of stray capacitance between the wafer and the test board on wafer test; the test machine receives the capacity value of the stray capacitor from the test board; and the test machine sends an open circuit calibration success signal to the test board, and the open circuit calibration success signal is determined according to the capacity value of the stray capacitance and is used for indicating that the open circuit calibration of the wafer is successful and indicating a probe of the test board to contact the wafer so as to test the wafer.