344results about How to "Accurate output" patented technology

The invention relates to a gas sensing compensation method and device and computer equipment, and the method comprises the steps: obtaining original output signals of a gas sensor under various environmental conditions within a preset time, and recording corresponding environmental parameters at the same time; based on the collected original output signals and the corresponding environment data, a gas compensation model used for describing the internal relation of sensor output, environment parameters and actual gas concentration is constructed; the method comprises the following steps: acquiring current environmental parameters in real time through a gas sensor, inputting the current environmental parameters into a gas compensation model, and carrying out correction calculation on output signals of the gas sensor through the gas compensation model to obtain compensated gas concentration signals so as to realize omnibearing correction of measurement errors caused by various factors. The gas sensor can stably and accurately output measurement results under complex and changeable environmental conditions, reliable data support is provided for application in various fields, and the overall performance and practicability of the gas sensor are improved.

The invention belongs to the technical field of gas production wellhead devices, and particularly relates to a 175MPa gas production wellhead device which comprises a gas production tree assembly and a tubing head assembly, the gas production tree assembly comprises a gate valve body, the gate valve body comprises a driver and a hand lever, and a protection assembly is installed between the driver and the hand lever; the protection assembly comprises a connecting shaft, a hand lever, a driver, a transmission sleeve, a steel rope, a high-strength spring, a transmission ring, a connecting block, a rotating groove and a transmission column. When the driver operates, the driver drives the connecting shaft to rotate, the connecting shaft rotates to drive the transmission column on the transmission ring to rotate synchronously, after the transmission column is in contact with the steel rope, the connecting shaft drives the steel rope to twist through the transmission column, and at the moment, the transmission sleeve moves towards the direction of the connecting shaft, so that the transmission sleeve is separated from the hand lever; and the phenomenon that the valve cannot be normally opened due to physical interference between the hand lever and the output shaft of the driver caused by mistaken rotation of the hand lever in the operation process of the driver is avoided.

The invention discloses a Pick ball motion trail tracking and tactical decision-making auxiliary system which adopts a high-frame-rate camera, a micro sensor installed on a ball and an athlete motion sensor worn on an athlete to respectively collect video image data, ball motion data and athlete motion data in the Pick ball motion process. Precise positioning and trajectory tracking are carried out on a ball through a target detection and tracking algorithm based on deep learning, a tactical knowledge model is constructed by combining site information and athlete action data and applying a decision tree and a neural network algorithm, real-time tactical decision suggestions are provided for athletes and coaches, and the training efficiency is improved. And the competitive level and the training effect of the Pick ball sports can be improved.

The invention provides a multi-agent cooperation method and system for an engineering construction project, and relates to the field of railway engineering management, and the method comprises the steps: training a railway engineering field expert model; dialogue information input by a user is processed by the expert model to generate a prompt instruction; the content perception intelligent agent generates a query statement according to the prompt instruction and returns the query statement to the expert model; the expert model calls a mixed retrieval agent for retrieval according to the query statement; the chart generation agent generates a chart according to the chart making request and returns the chart to the expert model; the data analysis agent performs data analysis according to the data analysis request and returns the data to the expert model; and integrating and outputting the retrieval result, the chart and the analysis result by the language question and answer agent. According to the method, various agents can be effectively cooperated to exert respective advantages, the retrieval speed and accuracy are improved, and a more comprehensive and understandable retrieval result can be output according to the input natural language.

The invention provides a piezoelectric self-feedback excitation type miniature electric field sensor, an electric field detection method and a sensor, and is applied to the technical field of electric field sensors. The piezoelectric self-feedback excitation type miniature electric field sensor comprises a substrate used for supporting a vibration pickup reference structure, a piezoelectric driving structure, a mutual shielding electric field sensing structure and an elastic beam; the piezoelectric driving structure is used for enabling the piezoelectric driving structure to deform under the condition that driving voltage is applied to the piezoelectric driving structure so as to enable the elastic beam to generate vibration; the mutual shielding electric field induction structure is used for responding to the vibration of the elastic beam, and the mutual shielding electric field induction structure outputs an induction current signal in a differential form so as to suppress common-mode noise and detect the amplitude intensity of a to-be-detected electric field; and the vibration pickup reference structure is used for responding to the vibration of the elastic beam and outputting a reference current signal so as to adjust the magnitude of the driving voltage and enable the output sensitivity of the piezoelectric self-feedback excitation type miniature electric field sensor to be a preset value.

The invention relates to the technical field of advanced geological prediction, in particular to an information fusion advanced geological prediction system based on multiple detection methods, which comprises a comprehensive analysis subsystem, an advanced prediction module and a notification and statistics module. Wherein the comprehensive analysis subsystem comprises a tunnel face analysis module, an advanced drilling analysis module and a geological radar analysis module. Various detection methods such as stress-strain monitoring, geological radar detection and advanced drilling are combined, the adaptability to a complex construction environment is improved, the intelligent level is improved, and rapid transmission and sharing of geological information are achieved; according to the method, data is analyzed in a centralized mode through a logic judgment program, geological abnormal conditions such as rockburst and discontinuous geological structures are found in time in the drilling process, and therefore corresponding early warning signals are output, and a clearer decision basis is provided for constructors.

The invention discloses a battery management system, an anomaly detection method, a battery pack and electric equipment, the battery management system is arranged in the battery pack, and the battery management system comprises a plurality of first battery management units, a first sampling circuit, a second sampling circuit and a second battery management unit; optical communication links exist among the plurality of first battery management units, and signal interaction is carried out through the optical communication links; the first sampling circuit is used for sampling an optical signal transmitted by an optical communication link and converting the optical signal into an electric signal; the second sampling circuit is used for sampling a monitoring signal in the battery pack; the second battery management unit is used for outputting a state signal representing whether the battery pack is in an abnormal state or not based on the electric signal and the monitoring signal, and the abnormal state comprises at least one of a thermal runaway state and a liquid leakage state. In this way, the state signal representing the abnormity of the battery pack can be accurately output.

The invention relates to the technical field of natural language processing, and discloses a multi-round dialogue optimization method based on a large language model.The method comprises the steps that before the large language model outputs answers according to current questions input by a user, the current questions input by the user are subjected to question preference alignment, answer preference alignment and preferred item preference alignment in a memory list; and in combination with a self-attention reward iteration function and a model updating rule based on a strategy gradient, an optimal matching historical question and an optimal matching historical answer of the current question are found, an optimal historical question and answer pair of the current question is formed, context window limitation of a large language model can be overcome, accurate historical memory can be provided for the large language model, and the user experience is improved. The context understanding ability and reasoning ability of the large language model in multiple rounds of dialogues are greatly improved, so that the large language model can accurately output coherent and high-quality answers, the quality of the multiple rounds of dialogues is improved, and the user experience is ensured.

The invention discloses a segmented self-destruction rain enhancement and hail suppression rocket controlled by a time schedule controller, and relates to the technical field of artificial rain enhancement and hail suppression rockets. The device comprises a catalysis bin assembly, an engine assembly and an empennage assembly, and the catalysis bin assembly, the engine assembly and the empennage assembly are connected through reducing sleeve assemblies. An explosion self-destruction device is adopted as a safe landing device, a segmented self-destruction device is arranged in a rocket body engine and a tail segment assembly in advance, a time schedule controller outputs an ignition signal according to binding information, an empennage assembly, an engine assembly and a catalytic bin assembly are exploded into floccules not larger than 100 g and fall onto the ground, self-destruction of all the assemblies is reliable, and the safety of landing is guaranteed. The rocket body wreckage preventing device can effectively reduce damage of rocket body wreckage to personnel, buildings, farmlands, livestock and the like, any one of the ignition loops of the time schedule controller does not affect performance of other loops during working, fire spurting is avoided, space is saved, and the function is reliable.

The invention relates to the technical field of electrical variable measurement, in particular to a multi-dimensional force measurement device giving consideration to static measurement and dynamic measurement, and solves the technical problems that a traditional six-dimensional force sensor is complex and tedious in structure, relatively heavy in overall weight, incapable of giving consideration to static measurement and dynamic measurement and relatively low in measurement precision, and the multi-dimensional force measurement device comprises a measurement assembly and a vibration isolation assembly; the measuring assembly comprises a bottom plate, a top plate and a cantilever beam; the cantilever beam is connected to the bottom plate, the cantilever beam is clamped into a limiting groove of the top plate through a supporting arm, and a uniaxial strain gauge, a first biaxial strain gauge, a second biaxial strain gauge, an X-type piezoelectric crystal, a first Y-type piezoelectric crystal and a second Y-type piezoelectric crystal are arranged on the cantilever beam; the vibration isolation assembly comprises a first horizontal supporting plate, a second horizontal supporting plate, multiple layers of isolation sleeves and supporting columns, and an interlayer between every two adjacent isolation sleeves is filled with an elastic material. The device realizes the combination of static measurement and dynamic measurement, and can capture quickly changing torque and force while keeping high precision.

The invention relates to the technical field of 3D virtual people, and provides an emotion expression method, system and device of a voice-driven 3D virtual human, which are used for improving the emotion expression precision of the 3D virtual human. According to the method, driving parameters of all expression bases are obtained from audio clips obtained after target audio is segmented, corresponding target emotions are extracted according to keyword sets extracted from text paragraphs obtained from the target audio by adopting an emotion extraction model, and then driving parameters of core expression bases corresponding to the target emotions are corrected, so that the target emotions are obtained. The speech content and context of the 3D virtual human are matched with emotions, self-adaptive dynamic adjustment of the emotions is achieved, the naturalness and authenticity of voice driving are improved, an emotion extraction model based on machine learning training has certain learning ability and generalization, and for keywords which are not stored in a database, the speech recognition efficiency is improved. Under the condition that the complexity of the model is not increased, the corresponding emotion can still be accurately extracted, so that the emotion expression precision of the 3D virtual human is improved.

The invention relates to the technical field of robots, in particular to a mechanical arm model prediction interaction control method based on a hysteresis force model, which comprises the following steps of: abstracting a hysteresis nonlinear phenomenon into a linear combination of a plurality of basic play operators by adopting end force modeling based on a PI (Proportional Integral) model, jointly superposing to form a description of the overall nonlinear behavior; the inverse model of the PI model is constructed in an analysis mode, the inverse model is also a PI model, the parameter of the inverse model is a function of the parameter of the original PI model, and the hysteresis characteristic of the inverse model can be determined by the relation, so that the hysteresis effect of the original PI model is effectively counteracted; and finally, a least square method is adopted as a parameter identification method, model parameters of the hysteresis characteristics of the system are accurately described, and more accurate output is obtained. According to the model prediction interaction control method, the adverse effect of the hysteresis effect on the performance of the control system is remarkably reduced, and greater potential and possibility are provided for application of the robot in the real world.

The invention relates to the technical field of vehicle performance testing, and provides a method, a system, equipment and a medium for calculating vehicle traction and braking performance parameters, the method comprises the following steps: acquiring time and periodic data of vehicle speed and level change to construct a data set, and training a linear regression model by using the data set to obtain a linear regression model; the vehicle traction and braking performance parameters can be accurately output, so that a trained model is obtained; secondly, real-time speed pulse change data of the vehicle under different working conditions are collected, and relevant data of speed and level change are extracted from the real-time speed pulse change data; and inputting the extracted data into a trained linear regression model to obtain the traction and braking performance parameters of the vehicle, so as to replace manual calculation and improve the efficiency and the precision. According to the method, a complex manual calculation process can be omitted, the labor cost is saved, and the calculation period is greatly shortened.

The invention provides a data question and answer processing method and device, electronic equipment and a storage medium. The method comprises the steps of obtaining input data of a user; converting the input data into a problem character string; a multi-level question matcher is used for processing the question character string, a target answer template corresponding to the question character string is output, and the multi-level question matcher comprises a first-level question matcher constructed by a regular matching library, the second-level question matcher is constructed by the keyword library; and the third-level question matcher is constructed by the multi-level domain label library of the plurality of domains. According to the method, a multi-level question matcher is used for analyzing question character strings, different general answer templates can be returned in combination with the hit effect through multi-level and multi-means pattern matching methods such as regular accurate hit, keyword indirect hit or field label association hit, and therefore accurate answers are accurately output.

The invention relates to an aging correction method for a nitrogen-oxygen sensor, which comprises the following steps of: measuring and calculating an aging correction coefficient, archiving the aging correction coefficient into an aging correction module, and extracting data in real time by using the aging correction module, so that the output value of the nitrogen-oxygen sensor is corrected, and after a probe is aged, the output value of the nitrogen-oxygen sensor is corrected. A relatively accurate numerical value can still be output, namely, aging of a probe is offset by using a correction part, an aging correction coefficient can be obtained by looking up a table in combination with accumulated working time, accumulated driving mileage and daily driving working conditions after the nitrogen-oxygen sensor is loaded and parameters such as NOx and O2 concentrations measured for a long time, and the value is multiplied by an output coefficient, so that the aging correction coefficient is obtained. And the output precision can be improved.

The invention discloses an image-based power equipment temperature monitoring method and system and electronic equipment, and the method comprises the steps: constructing a feature segmentation layer corresponding to a visible light image and an infrared image and a modal fusion layer corresponding to a preset resolution based on the preset resolution and gating fusion, constructing an image fusion model by using the feature segmentation layer, the modal fusion layer and the complexity parameter; acquiring historical power equipment temperature information corresponding to the historical visible light image and the infrared image set, inputting the visible light image feature set and the infrared image feature set into an image fusion model, and updating the image fusion model by taking the historical power equipment temperature information as output; and constructing an image temperature identification model by using the updated image fusion model and the feature extraction model. The method has the beneficial effects that the presentation degree of detail differences of the small regions is enhanced, the proportion of images with more information is ensured to be larger, information loss is avoided, and the accuracy of temperature monitoring of the power equipment is improved.

The invention discloses a diffusion model fusion method and device and electronic equipment. Relates to the field of artificial intelligence, and the method comprises the steps: obtaining text information which comprises description information of a to-be-generated target image; a target style prompt vector matched with the text information is determined, the target style prompt vector is used for indicating a target student model to output an image of a target image style, and the target student model is a student model obtained by performing knowledge distillation based on teacher models of various different image styles under a distributed training framework; and inputting the text information and the target style prompt vector into a target student model, executing a diffusion generation process by the target student model, and outputting a target image. Through the method and the device, the problem that the quality of generated images is relatively low when images of different styles are generated by a fusion model obtained by an existing model fusion method in related technologies is solved.

The utility model discloses a novel accelerator control device. The device comprises a knob mechanism; the first rotating shaft is sleeved on the knob mechanism and is clamped with the knob mechanism; the turntable is arranged on the side wall of the lower end of the first rotating shaft; a shading sheet is arranged on the bottom surface of the turntable; the circuit board is arranged below the turntable, and the lower end of the knob mechanism penetrates through the circuit board, is movably connected with the circuit board and does fixed-axis rotation movement relative to the circuit board; the photoelectric coded disc is arranged on the top surface of the circuit board, is opposite to the anti-dazzling screen and is used for being matched with the anti-dazzling screen to output an electronic signal; and the potentiometer is arranged on the bottom surface of the circuit board, abuts against the lower end of the knob mechanism, rotates synchronously with the knob mechanism and is used for outputting an electronic signal. According to the novel accelerator control device, dual protection can be conducted on the control signal, the accurate and stable accelerator control signal is output, wrong signal output can be effectively avoided, and the working efficiency and the safety coefficient of a vehicle are improved.

The utility model discloses a Hall sensing microswitch and a Hall keyboard. The Hall sensing microswitch is used for triggering the Hall element to generate a signal, the side wall of the pressing shaft is provided with an extension part, the extension part of the pressing shaft is provided with a first magnetic block, the key seat is provided with a second magnetic block, and the first magnetic block and the second magnetic block attract each other when being adjacent; the central axis of the attracted magnetic poles of the two magnetic blocks is perpendicular to the moving axis of the pressing shaft relative to the key seat when the attraction force is maximum; when the pressing shaft is pressed, the first magnetic block shears the magnetic attraction force relative to the second magnetic block to generate a pressing hand feeling, and meanwhile, the first magnetic block changes the magnetic flux received by the Hall element downwards to generate a signal. When the two adjacent magnetic blocks respectively located on the key seat and the pressing shaft are pressed, interaction between pressing force and shearing magnetic attraction force is ingeniously formed, paragraph hand feeling of pressure sudden change can be fed back to pressing fingers, and unique paragraph hand feeling experience is brought to a user; in addition, the Hall element is ingeniously fused at the bottom of the microswitch, and the Hall element can accurately output electromagnetic signals along with the movement of the magnetic block.

The invention provides a multi-shaft driving steering control method and system for an intelligent transport vehicle, and the method comprises the steps: S1, calculating the steering characteristics of a second shaft and a third shaft according to a two-degree-of-freedom kinematics model, so as to adjust the target rotation angles of all wheels on the second shaft and the third shaft; s2, the vehicle course angle and the target wheel rotation angle serve as input quantities, the motor operation parameters on the corresponding shafts serve as disturbance quantities, the actual wheel rotation angles serve as feedback quantities, and the actual wheel rotation angles on the second shaft and the third shaft are obtained through control; and S3, the steering relation between the first shaft and the second shaft and the steering relation between the third shaft and the fourth shaft are obtained based on the Ackerman angle theorem, and steering of wheels on the first shaft and the fourth shaft is controlled according to the steering relation. According to the method, the steering relation between the second shaft and the third shaft with the driving capacity and the actual wheel rotation angle are calculated through the kinematic model, then the wheel rotation angles of the first shaft and the fourth shaft are controlled in a follow-up mode according to the Ackerman rotation angle relation, the wheel steering control precision is high, and wheel track optimization is facilitated.

The invention provides a double-magnetic-wheel Hall sensor and an absolute angle jump correction method and system. The absolute angle jump correction method comprises the steps that S1, a first angle signal, measured by a first Hall element, of a driving wheel is acquired; the second Hall element measures a second angle signal of the driving wheel; calculating a difference value between the first angle signal and the second angle signal, and calculating an absolute angle of rotation of the driving wheel by using a vernier algorithm; s2, judging whether the calculated absolute rotation angle of the driving wheel jumps or not; when the absolute rotation angle of the driving wheel does not jump, the absolute rotation angle of the driving wheel is output; when the absolute rotation angle of the driving wheel jumps, the step S3 is executed; s3, selecting an angle signal which does not cause jumping of the absolute angle of the rotation of the driving wheel, and correcting the absolute angle of the rotation of the driving wheel which jumps; and S4, outputting the corrected absolute rotation angle of the driving wheel. According to the invention, the stability and robustness of the double-magnet-wheel Hall sensor are improved.

The utility model provides a rotary transformer simulation device, which is applied to the technical field of motor testing, and comprises a main controller and an input signal conditioning module, the input end of the main controller is connected with a first input signal, and the output end of the main controller outputs a first output signal through a first output signal module; outputting a second output signal through a second output signal module; the first output signal module comprises a digital-to-analog converter I and an output signal conditioning module I, and the second output signal module comprises a digital-to-analog converter II and an output signal conditioning module II; the input signal conditioning module receives a second input signal and then processes the second input signal, the processed signal is respectively transmitted to the main controller, the digital-to-analog converter I and the digital-to-analog converter II, and the second input signal is an excitation signal EXC output by the motor control driving unit. The device is small in size, light in weight and low in cost, can be suitable for a large-scale production environment, does not have the problems of mechanical wear, aging and the like, and is relatively low in maintenance cost.

The invention provides a driving circuit and a display device. The driving circuit comprises a driving signal generating circuit, a control signal generating circuit and a control circuit; the driving signal generation circuit generates and outputs an nth-stage driving signal through an nth-stage driving signal output end under the control of the first clock signal and the second clock signal; n is a positive integer; the control signal generation circuit is used for outputting a control signal to the control signal end according to an enable signal; and the control circuit outputs a signal to the nth-stage driving output end under the control of the control signal. According to the invention, the nth-stage driving signal or the invalid voltage signal can be accurately output to the nth-stage driving output end, so that local refreshing can be accurately carried out.

The invention belongs to the technical field of dynamic angle measurement, and relates to a dynamic angle measurement device which comprises an integrated base, a rotary table, an annular laser gyroscope angle measurement unit, an adjustment fixture, a dynamic angle null unit and a control processing unit. The integrated base is arranged on the vibration isolation platform, a rotating part of the rotary table is connected with an annular laser gyroscope angle measurement unit arranged above the rotating part, the dynamic angle null unit comprises a sensitive module, and a target mirror of the sensitive module is arranged on the annular laser gyroscope angle measurement unit; the dynamic angle null unit further comprises a double-frequency laser-optical fiber coupling module and a measuring module, and a laser beam emitted by the double-frequency laser-optical fiber coupling module is emitted to the target mirror after passing through the measuring module; when the light emitted by the measuring module coincides with the direction of the reflected light passing through the target mirror, the dynamic angle null pointing unit emits null pointing pulses to the control processing unit, and the control processing unit starts to record the dynamic angle measured by the annular laser gyroscope angle measuring unit.

The embodiment of the invention discloses a structural deformation monitoring method based on RTK-GNSS, and relates to the technical field of deformation monitoring, and the method comprises the steps: constructing a double-difference pseudo-range observation equation and a double-difference carrier phase observation equation; acquiring initial positions of the base station and the monitoring station, and respectively acquiring an initial single-difference distance and an initial single-difference distance; calculating a second coordinate offset based on the coordinate offset of the reference station in the current epoch, the first initial single-difference distance and the second initial single-difference distance in combination with a double-difference pseudo-range observation equation and a double-difference carrier phase observation equation; and analyzing the deformation quantity of the to-be-measured structural body based on the second coordinate offset. The method provided by the invention overcomes the defects of unstable positioning and difficulty in ambiguity fixation caused by easy shielding or interference of GNSS signals in part of scenes in related technologies, can stably and efficiently calculate and obtain accurate ambiguity, can realize deformation monitoring in complex scenes, and has the advantages of stable positioning result and high deformation monitoring precision.

The invention relates to the technical field of motors, and particularly discloses a motor rotation angle detection system and method, and the system comprises a separation blade which is provided with a spiral outer edge and linear edges connected with the two ends of the spiral outer edge; the first reflection type optocoupler is arranged on one side, deviating from the motor, of the separation blade; the controller is used for obtaining the first induction current based on the first reflection type optocoupler when the motor rotates and obtaining the rotation angle of the motor according to the first induction current and a preset conversion relation; according to the motor rotation angle detection system, a motor rotation shaft rotates to drive a separation blade to rotate synchronously, so that the coverage range of the separation blade in a first effective area is changed based on a spiral outer edge with a continuous change characteristic, and then a first reflection type optocoupler generates a first induction current with continuous change; the controller can calculate the rotation angle of the motor in real time according to the size of the first induction current, and has the advantages of being low in structural complexity and low in cost.

The embodiment of the invention discloses a semantic segmentation method. The method comprises the following steps: acquiring an original image of a view angle of an unmanned aerial vehicle; inputting the original image into a pre-trained semantic segmentation model, and performing forward propagation to generate a semantic segmentation image; the semantic segmentation model comprises a pre-trained image coding head, a time step head, a diffusion segmentation coding head, an encoder, a decoder and an output layer; wherein the semantic segmentation model is obtained by training according to a plurality of training images; the training image is an unmanned aerial vehicle view angle image; the semantic segmentation image comprises category information of each pixel in the training image; the category information includes at least one of buildings, roads, trees, low vegetation, moving cars, stationary cars, humans and sundries.

The pet feeder comprises a base, a food bin and three food plates, the food bin is arranged on the base, the food plates are evenly distributed on the circumferential face of the base, and the base is provided with material guide grooves corresponding to the food plates one to one; food outlet holes in one-to-one correspondence with the material guide grooves are evenly distributed in a bottom plate of the food bin, a rotating disc is assembled on the bottom plate of the food bin, through holes in one-to-one correspondence with the food outlet holes are formed in the rotating disc, and food in the food bin is conveyed into the corresponding food disc through the food outlet holes, the through holes and the material guide grooves under the dead weight. According to the multi-food-tray pet feeder, food in the food bin can be averagely output to the food trays through the food outlet holes; through the structural arrangement of the quantitative bin, it can be basically guaranteed that each food outlet can accurately output the same quantitative food to the corresponding food plate, and therefore the uniform feeding effect of multiple pets is guaranteed, and the situation that the pets fight for food is effectively reduced.

The invention relates to the technical field of new energy automobile accessories, in particular to a new energy brake pedal assembly and a new energy automobile. A new energy brake pedal assembly comprises a pedal arm, the two ends, in the extending direction, of the pedal arm are the first end and the second end respectively, and a connecting part is arranged between the first end and the second end; the connecting part is rotatably connected with the fixed bracket; the second end is used for driving the movable column to move in the first direction; the limiting plate is connected with the movable column; an elastic contact of the elastic contact type slide rheostat abuts against one side of the limiting plate. And the circuit board is electrically connected with the elastic contact type slide rheostat. Compared with the prior art, the technical problem that in the process that the swing angle of the pedal arm is measured through an angle sensor, an angle signal output by the angle sensor is prone to being unreliable is solved.

The invention discloses a high-resolution and wide-range electric energy pulse output method and system, and the method comprises the steps: calculating a timer count value according to an electric energy pulse frequency value needing to be output and a system clock frequency; judging whether the calculated count value of the timer is an integer or not, if so, directly setting the timer according to the count value of the timer, and controlling the output pulse frequency; otherwise, continuing to execute the subsequent steps; whether the frequency output resolution meets the requirement of the frequency resolution or not is judged, if yes, the timer is set directly according to the integer value of the count value of the timer, and the output pulse frequency is controlled; and otherwise, realizing wide-frequency-range and high-resolution pulse frequency output through a frequency mean value algorithm based on adjacent frequency complementation. According to the invention, through closed-loop feedback calculation of the output pulse frequency and adoption of a frequency mean value algorithm based on adjacent frequency complementation, accurate output of high-resolution electric energy pulses in a wide range of 0.001 Hz-1 MHz can be realized.