597results about How to "Realize automatic calibration" patented technology

The present invention discloses a mechanical sensor array calibration device and the working method thereof. The device comprises locating transmission part and control part which is electrically connected with the locating transmission part; wherein, the locating transmission part comprises calibrated working platform and pressure head testing part; the pressure head testing part is connected with a force sensor through an extension head of a Z-directional linear stepper motor. Using the working method of the device adopts three stepper motors as the driving source; two stepper motors drive the coordinate motion of the slides on the guide rail to finish the location of coordinate point on the working platform; an extension of a linear stepper motor drives the pressure head to exert force on the tested sensor; when the force exerted by the pressure head achieves the set pressure valve, the singlechip collects the output of the tested sensor and the force sensor and the position coordinate of the tested sensor. The present invention is able to execute the choose and configuration of the calibrating mode and process according to the specific sensor array and the specific calibrating demand so as to enlarge the using range of the device.

The invention provides an implementing method of an integrated power grid dispatching operation intelligent mistaken-early-warning preventing system. The implementing method comprises the following steps that various information and computing resources required by an operation ticket system in an EMS system of a dispatching center are packaged into standardized service; the operation ticket system is integrated a DMIS system of the dispatching center, and a graphic platform is built according to the CIM and SVG standard; an intelligent ticket-making expert rule base based on an operation model is built, and a safe mistake preventing system based on operation term analysis and comprehensive instruction analysis is built. The implementing method has the advantages of having little influence on the EMS system, being beneficial for popularization and the like, and can improve billing efficiency and circulation speed of dispatching operation tickets. During equipment maintaining peaks in spring and autumn, equipment operation safety is guaranteed, rapidness of equipment operation is guaranteed, work efficiency and the production and management level of the power grid are improved, prevention of large-area power outage accidents is facilitated, and safe production of an electric power company is guaranteed.

This invention relates to an automatic calibration method and a device for radio frequencies of TD-SCDMA / 3G mobile terminals, which can calibrate RF, emission power and received gain of mobile terminals automatically and store the calibrated results in NVRAM in the way of files with FFS. This invention can adjust the RF performance of terminals effectively mainly to current TD-SCDMA mobile terminals that their chips do not have the same control attribute.

The invention relates to an attitude-control engine vector thrust measurement and calibration integrated device and a measurement method, so as to satisfy the requirement on attitude-control engine vector thrust measurement. The attitude-control engine vector thrust measurement and calibration integrated device comprises an engine, a standard vector force source, a loading mechanism, a vector force measurement unit, a data processing module and an in-situ thrust calculating module. The standard vector force source is used to generate and control nine standard forces on the loading mechanism according to the execution requirement. The loading mechanism is used to fix a vector force sensor to be calibrated. The vector force measurement unit is used to collect voltage signals that are outputted by the vector force sensor to be measured. The data processing module is used to receive a loading result from the standard vector force source and a measurement result from the vector force measurement unit and obtain a calibration coefficient of the vector force sensor to be calibrated by means of calculation. The in-situ thrust calculating module is used to calculate the force that is applied on a flange face of the engine. When the engine is working, the main thrust, the horizontal lateral force, the vertical lateral force, etc. of the engine can be obtained to examine the working performance of the engine.

The invention relates to a full automatic calibration method of a master-slave camera chain in the technical field of image processing. In the invention, an image which is automatically obtained in the process of rotating a dynamic camera is spliced into a mosaic image and then the characteristic points of the image and the image of a master camera are automatically extracted and matched, thereby obtaining a calibration result between the coordinates of the pixel of the image of a static camera and the control parameter of the dynamic camera and realizing the full automatic calibration of the master-slave camera chain. The range of the visual field of the dynamic camera is represented by the mosaic spliced image, the relationship between two different imaging planes is estimated by utilizing an SURF characteristic point, only the motion trace of the dynamic camera needs to be established beforehand, the master-slave camera chain can be automatically calibrated, the automatic calibration of the master-slave camera chain can be realized under the condition that the calibration accuracy keeps better (the error rate is 3 to 5 percent), the manpower and the time are saved, and the complexity in the calibration process is lowered.

The invention provides a mounting angle calibration method for an onboard large-view-field high-precision star sensor and relates to the field of attitude control ground application of spacecrafts. The invention provides the mounting angle calibration method for the onboard large-view-field high-precision star sensor to solve the problems. The method provided by the invention comprises the following steps: 1, calibrating a null position difference and a collimation difference by a calibration theodolite under a ship docking condition; calibrating parameters including a main point, a focal distance, optical distortion and the like by the star sensor; 2, resolving a ship body attitude matrix by the calibration theodolite; 3, measuring by the star sensor to obtain an attitude matrix under a J2000.0 coordinate system and carrying out precession, nutation, rotation, polar motion and ship position correction to obtain the attitude matrix of the star sensor under an inertial navigation horizon system; 4, resolving an attitude angle of the star sensor under the inertial navigation horizon system and selecting an astronomical refraction model to carry out elevation correction; reconstructing the attitude matrix; 5, calculating the mounting matrix of the star sensor and resolving a mounting angle.

The invention relates to a combined calibration method for an EPS (Electric Power Steering) zero offset and a multi-line laser radar. The method comprises the following steps: obtaining current position information, yaw angle information, and a reference path of a vehicle; calculating a lateral offset distance of the vehicle and the reference path; performing zero-offset calibration on the EPS; calculating an included angle and a distance between the ground plane and a plane crossing an origin to obtain an rotation angle of a laser radar coordinate system relative to a vehicle body coordinatesystem along the x axis and the y axis, and a shift amount along the z axis; performing linear driving on the vehicle after EPS zero offset calibration taking the wheel angle as zero degree to generate a first trajectory; generating a second trajectory according to laser point cloud data in the vehicle driving process; calculating the included angle of the first trajectory and the second trajectory to obtain the rotation angle of the laser radar coordinate system relative to the vehicle body coordinate system along the z-axis; and calculating a position deviation between a starting point of the first trajectory and the starting point of the second trajectory to obtain the shift amount of the laser radar coordinate system relative to the vehicle body coordinate system along the x-axis and the y-axis respectively.

The invention discloses a working environment detection system. The system comprises a smoke signal collection signal, a feedback calibration circuit and an operational amplifier output circuit; the smoke signal collection circuit adopts a smoke signal collector J1 in the model of LB-70C to collect a plant working environment smoke signal; the feedback calibration circuit is divided into two pathsto receive output signals of the smoke signal collection circuit; in one path, a composite circuit is composed of an inductor L1, a resistor R5 and a capacitor C3 so as to filter high-frequency noisein the signal, and a peak detection circuit is composed of an operational amplifier AR2, the operational amplifier AR4 and a diode D3 and the diode D4 to regulate signal peak value; in the second path, a delay circuit is composed of a triode Q1, a resistor R6 and a capacitor C2 to delay the signal, and the operational amplifier output circuit amplifies the signal through an in-phase manner by applying the operational amplifier AR7, and a pai type filter circuit is composed of the inductor L2, the capacitor C7 and the capacitor C8 to filter and output the signal; the smoke status in the working environment of the plant can be monitored in real time, the signal transmission stability is improved at the same time, and the signal frequency hopping and distortion are prevented.

The invention discloses a design and detection method of a camera calibration board. The design and detection method comprises the following steps: carrying out integral layout and design of the calibration board; measuring and storing calibration board information; and carrying out camera calibration. Firstly, the gesture of the calibration board is automatically transformed by a machine to avoid work of artificially frequently regulating the calibration board and realize the automatic camera calibration; secondly, during big-angle shooting, the peripheral edge of the calibration board is provided with enough coding patterns which can be clearly imaged; and finally, when a telephoto lens is calibrated, the coding patterns with a proper size always can be calibrated on various zoom ring positions which aim at a camera lens so as to be identified.

The present invention provides a machine vision-based overprint error detection method. According to the method, a target image is acquired through a camera, wherein the target image contains a plurality of positioning marks; the area of the positioning marks is calculated, if the difference value of the area of the positioning marks and a standard area is not larger than a specified threshold value, and template matching is used to extract the centers of the positioning marks; overprint error is detected according to the deviation quantity of the positions of the centers and standard positions; if the difference value of the area of the positioning marks and the standard area is larger than the specified threshold value, edge segmentation is adopted to extract the edges of the positioning marks, and overprint error is detected according to the deviation quantity of the positions of the edges and standard positions; and after the error detection is completed, and a printer is automatically adjusted. According to the method of the invention, the image segmentation and the template matching are utilized, so that the technical problems of large computation quantity, large error, low robustness and incapability of performing automatic adjustment according to error in the prior art can be solved. The method is suitable for being popularized in the printing industry.

The invention discloses a system testing method of power grid distributed stability control devices. A test command computer performs simulation computation of voltage and current data of each fault surface in a fault scene in real time, thereby forming a test scheme. The test command computer issues the test scheme to each test device through a wireless public network, and each test device adopts a GPS clock synchronization technology to synchronously output voltage and current signals of the fault scene to tested stability control devices, and simulates the power grid operation fault scene, thereby realizing interworking of all links of a master station, substations, execution stations and a communication system of the distributed stability control system in a fault processing process to perform system testing. After testing is finished, each test device reports action information of the tested distributed stability control devices to the command computer, the command computer collects action information of the stability control device of each station, automatically checks a stability control device control strategy, and verifies whether execution logic of the distributed stability control devices is correct.

The invention discloses an automatic calibration and measuring device of a fluid flowing test probe, which comprises a mechanical part and an electric control part, and can finish the following three actions that control the motion of the probe: the probe can realize topping rotation around a horizontal shaft O2-O2 by a probe topping angle adjusting mechanism with a first numerical control electric motor; the probe can realize translation motion along the horizontal shaft O2-O2 by a probe translation motion adjusting mechanism with a second numerical control electric motor; the probe can realize skew rotation around a vertical shaft O1-O1 by a probe skew angle adjusting mechanism with a third numerical control electric motor. According to a motion feedback signal, three numerical control electric motors are coordinated under control of a computer, and a data collecting system is combined so as to automatically finish the calibration and measurement jobs of the fluid test probe. Compared with the tests with manual operation, the automatic calibration and measuring device of the fluid flowing test probe improves testing precision and saves time and labor power.

The invention provides an automatic method for external parameter combined calibration of a vehicle-mounted three-dimensional laser radar and a camera. A laser radar and a camera are used to measure amoving plane target, a plurality of groups of point cloud and image data belonging to a target characteristic region are extracted from the measurement data; the characteristic region is fit, the external parameters of the laser radar and the camera are calibrated from coarse to fine by using a fitting result, and in coarse calibration, an initial conversion matrix between the laser radar and thecamera is obtained by using a PnP algorithm by using coordinates of a mass center point of the feature region fitted by the point cloud and the image as feature points; and fine calibration is carried out on the basis of coarse calibration, a feature region edge contour of point cloud fitting is projected to a camera normalization plane, a least square optimization function is constructed according to the similarity of a camera fitting edge and a projection edge, an initial conversion matrix is optimized, and a high-precision calibration relationship is obtained. Only the plane target with the special characteristic area is used, manual selection is not needed in the calibration process, and good calibration efficiency and accuracy are achieved.

The invention is applied to the field of household appliances and provides a calibration module of a turbidity sensor of a dish-washing machine. The calibration module comprises a control unit and a pulse width modulation (PWM) calibration unit which are connected with each other, wherein the control unit is used for presetting a turbidity standard value range, outputting a PWM control signal of the turbidity sensor with a preset duty ratio to the turbidity sensor, receiving a detection signal of turbidity of clear water entering the dish-washing machine transmitted by the turbidity sensor and judging whether the detection signal is in a standard value range; if the detection signal is not in the standard value range, the preset duty ratio is regulated, so that the detection signal is in the preset turbidity standard value range. The turbidity sensor is driven by the PWM control signal with the preset duty ratio for detection, and the detection signal is fed back to the control unit, so that the detection signal is compared with the turbidity standard value range by a control unit, the duty ratio of the PWM control signal is regulated so as to calibrate the turbidity sensor, and the turbidity sensor is not needed to be manually adjusted.

The invention relates to a checking method and device for correctness of virtual terminator association configuration of an intelligent substation. The method comprises the steps that primary equipment and the topological relation of the intelligent substation are obtained according to an SSD file of the intelligent substation; the secondary function configuration, corresponding to the primary equipment, of secondary equipment is obtained according to the SSD file; the logic connection relation between secondary functions of the secondary equipment of the intelligent substation is obtained according to the primary equipment, the topological relation and the secondary function configuration corresponding to the primary equipment; correctness of virtual terminator two-end IED / LD / LN association configuration in the logic connection relation is checked according to a preset rule. Secondary virtual circuit logic connection errors caused by virtual association configuration errors can be rapidly and effectively checked, maloperation caused by the virtual terminator association configuration errors is avoided, risk of misoperation of running equipment is reduced in the reorganization, expansion and debugging process of the intelligent substation, and safe production and reliable operation of the intelligent substation are ensured.

The invention discloses a vehicle VIN code tamper detection system and method for vehicle annual inspection. The system structurally comprises a target detection module, a feature point comparison module and a judgment module, wherein the target detection module is composed of a target detection unit, a character segmentation unit and a feature point detection unit; the feature point comparison module comprises an image mapping unit, a feature point comparison unit and a judgment unit; and the judgment module judges whether a vehicle VIN code passes temper inspection or not according to checking standards, an inspection success identifier is directly returned if the vehicle VIN code passes the tamper inspection, and a reason for failure inspection and a picture are returned if the vehicleVIN code fails the tamper inspection. The vehicle VIN code temper detection system and method are mainly applied to vehicle VIN code temper detection in annual inspection of motor vehicles, automaticchecking for VIN code tamper is achieved, and a checking image and reason for failure inspection can be returned to a server for storage and evidence collection at the same time, thereby not only saving manpower, but also ensuring the fairness and the openness of the checking work.

The invention relates to a calibration system of a wind direction sensor, comprising a base. The calibration system is characterized in that the base is provided with a rotating disc, a photoelectric sensor, a control circuit and a driving motor; the edge of the rotating disc is provided with a plurality of through holes at equal intervals; the central position of the rotating disc is provided with a fixed hole; the transmitting end and receiving end of the photoelectric sensor are respectively arranged at the two sides of the rotating disc; and the control circuit is electrically connected with the photoelectric sensor, the driving motor and the wind direction sensor respectively; and the number of the through holes is 36. The calibration method of the calibration system provided by the invention comprises the following steps: a. firstly, judging whether signals are input or not; b. judging whether pulse signals are input or not; and c. reading a wind direction value and sending the wind direction value to an upper personal computer (PC). According to the invention, as the driving motor and the photoelectric sensor are arranged, automatic calibration of the wind direction sensor is realized, and the speed and accuracy of calibration are increased; and for the calibration method provided by the invention, data acquisition is completed automatically, so that the original fussy mode of manual reading is changed.

The invention discloses a data security protection system based on cloud computing. The system comprises a frequency acquisition circuit 1, a frequency acquisition circuit 2, a noise reduction differential circuit and an operational amplifier emission circuit, wherein the frequency acquisition circuit 1 and the frequency acquisition circuit 2 respectively acquire signal frequencies of an input end and an output end in a signal transmission channel in the signal transmission module, and the feedback calibration circuit uses an operational amplifier AR1 in-phase amplification frequency acquisition circuit 1 to output signals and uses an operational amplifier AR3 and a capacitor C2-capacitor C5 to form a noise reduction circuit to limit the wave of the signal; and finally, the operational amplifier AR2, the operational amplifier AR4 and the operational amplifier AR5 form a differential amplification circuit to carry out signal differential processing, wherein the triode Q4 feeds back and adjusts the amplitude of an output signal of the operational amplifier AR4; and finally, the operational amplifier emission circuit uses an operational amplifier AR6 in-phase amplification signal, and the signal is sent to a control terminal through a signal emitter E1, namely, an error correction signal of the control terminal in the data security protection system based on cloud computing, so that the accuracy of the error correction signal is ensured.

The invention discloses Internet of Things data transmission correction equipment. The Internet of Things data transmission correction equipment includes a frequency acquisition circuit, a frequency division feedback circuit and an operational amplifier output circuit, wherein the frequency acquisition circuit acquires data signal frequency when the Internet of Things equipment works; The frequency division feedback circuit uses an inductor L1 and capacitors C4 to C6 to form a frequency division circuit for signal frequency division. one path of the frequency-divided signal uses a switch circuit composed of a triode Q2 and the triode Q3 to detects abnormal signals. in the second path, a power supply + 10V and a variable resistor RW2 are used for compensating signals; the last two paths ofsignals are input into an operational amplifier AR1 together; meanwhile, the operational amplifier AR3 and the triode Q5 feed back an output signal of the operational amplifier AR1 to the base electrode of the triode Q3; A switch circuit signal conduction value composed of the triode Q2 and the triode Q3 is adjusted, an output signal of the operational amplifier AR1 is output after in-phase amplification is conducted on the output signal of the operational amplifier AR1 through the operational amplifier output circuit, the Internet of Things data signal frequency can be converted into a compensation signal of a data signal of Internet of Things data equipment, and meanwhile the signal is automatically calibrated.

The invention discloses a turbidity detection system with the calibration function and belongs to the technical field of washing. The detection system is designed in order to solve the problem of turbidity signal detection deviation, caused by pollutants, of a turbidity sensor. The detection system comprises a control unit, the turbidity sensor and a calibration unit, wherein the turbidity sensor and the calibration unit are connected with the control unit. The control unit presets the turbidity voltage signal standard value and the calibration deviation value range of clear water, compares a received voltage signal detected value, detected by the turbidity sensor, of washing water with the turbidity voltage signal standard value, and controls the calibration unit to started or stopped according to whether the difference value or the specific value of the voltage signal detected value and the turbidity voltage signal standard value is within the calibration deviation range or not. The calibration unit is used for adjusting the voltage signal detected value to reach or be close to the turbidity voltage signal standard value. The invention further discloses a detection method to which the detection program is applied and a dish washing machine. The calibration unit can adjust the voltage signal detected value, detected by the turbidity sensor, of the washing water to reach or be close to the turbidity voltage signal standard value, and then automatic calibration of the turbidity sensor is achieved.

The invention discloses a signal calibration circuit of an intelligent low-temperature grain storage system. The device comprises a frequency acquisition circuit 1,a frequency acquisition circuit 2, afrequency modulation and amplitude modulation circuit and a filtering output circuit, the frequency acquisition circuit 1 and the frequency acquisition circuit 2 are used for respectively acquiring signal frequencies in an input end of a signal transmission channel for a control terminal to receive signals in the intelligent low-temperature grain storage system; the frequency modulation and amplitude modulation circuit uses a triode Q1 and a resistor R5; the capacitor C2 forms a delay circuit to divide the signal into two paths of signals; the filtering output circuit uses an inductor L2 anda capacitor C13; the capacitor C14 forms a filter circuit to be filtered and then output, namely a compensation signal of a signal in the input end of a signal transmission channel for receiving the signal by a control terminal in the intelligent low-temperature grain storage system, the signal in the signal transmission channel for receiving the signal by the control terminal in the intelligent low-temperature grain storage system can be automatically subjected to frequency modulation and calibration, and signal distortion is prevented.

The invention relates to noninvasive type real-time surgery positioning and navigating equipment. The noninvasive type real-time surgery positioning and navigating equipment is characterized by comprising a laser positioning and driving device, a work server, a digital signal shunt device and a display; the laser positioning and driving device is in wireless connection with the work server, and the work server, the digital signal shunt device and the display are electrically connected. Compared with existing surgery positioning and navigating equipment, the noninvasive type real-time surgery positioning and navigating equipment has the advantages that self-calibration is realized with automatic operation; a man-machine interface is clear and is supportive to observation perspective images from multiple perspectives; the equipment is wide in application and applicable to all C-armed machines adopted in liquid crystal displays; the equipment is rapid in positioning during surgeries, namely within 30 seconds, and small in error since the overall error is within 1mm.

The invention discloses a method and device for automatically verifying an electronic program menu. The method comprises the following steps: obtaining a film head characteristic file of a first electronic program menu and a live broadcast stream of the first electronic program menu according to the first electronic program menu, wherein the first electronic program menu at least comprises channel information and first play starting time; matching the film head characteristic file with the live broadcast stream, and identifying the play starting time of programs in the live broadcast stream; when the film head characteristic file is matched with the live broadcast stream successfully, determining second play starting time of the first electronic program menu according to the identified play starting time of the programs in the live broadcast stream; and verifying the first play starting time of the first electronic program menu to obtain a second electronic program menu according to the determined second play starting time of the first electronic program menu. With the method provided in the invention, the electronic program menu with accurate information can be obtained.

The embodiment of the invention discloses a laser radar calibration method and device, a storage medium and self-moving equipment. The method comprises the following steps: determining feature objectpoint cloud data parallel to the self-moving equipment and ground point cloud data from target point cloud data, wherein the target point cloud data is obtained through a laser radar; determining a course angle between a laser radar and a self-moving equipment coordinate system according to the feature object point cloud data; determining a roll angle and a pitch angle of the laser radar relativeto the coordinate system of the self-moving equipment according to the ground point cloud data; obtaining a translation vector of a laser radar and a self-moving equipment coordinate system; and calibrating the laser radar and the self-moving equipment according to the course angle, the roll angle, the pitch angle and the translation vector. By operating the technical scheme provided by the invention, the laser radar can be automatically calibrated, and the accuracy of the calibration result is high.

The invention relates to a method for automatically calibrating the tidal volume of an anesthetic machine, comprising the following steps that: firstly, the respiratory frequency and the respiratroy quotient of the anesthetic machine are set; secondly, an initial point and a plurality of intermediate flow rate points are selected as index points within a calibrated flow rate range; thirdly, the value of the tidal volume is obtained through calculation of a formula V=FT; fourthly, a calibrated tidal volume measuring device is used as reference to search for calibrated tidal volumes one by one and automatically save PWM values of searched tidal volumes; fifthly, a fitting curve chart of the flow rate L and the PWM values is established by utilization of the calibrated tidal volumes according to the set respiratory frequency, the set respiratroy quotient and the corresponding flow rate calculated in the formula of the third step; the flow rate value can be calculated according to the set tidal volume under the condition of the set respiratory frequency and the set respiratroy quotient; and the PWM value at the time can be calculated according to the fitting curve chart to control the flow rate, thereby the method realizes automatic calibration of the tidal volume and avoids affection of the dead space volume of devices, the aperture of pipes, the self weight of windboxes and the external factors on calibration of the tidal volume.

The invention provides a UWB base station coordinate automatic calibration method and system based on an optimization theory, and the method comprises the following steps: arranging a minimum UWB system, and enabling base stations A0, A1 and A2 and a label T0 to be placed at corresponding positions; setting the A0 point as an original coordinate point, and establishing a rectangular coordinate system by taking the direction from the A0 point to the A1 point as an X axis; reading the initial coordinates of each point of the minimum UWB system, and calculating the distance between any two points in the minimum UWB system; substituting the values of all the distances into an optimization equation to obtain a total residual value, and updating the coordinate value of each point at the same time; circularly calculating a new total residual value generated in the process according to the updated coordinates; when the total residual value is smaller than the expected value, regarding the current index as the optimal index, and obtaining the calibration coordinate values of the base stations A1 and A2 in the minimum UWB system according to the optimal index. The distance automatically measured by the base station is used as the input of the optimization problem, the base station coordinate value with the minimum error is calculated through the optimization equation, and automatic calibration is achieved.

A high accurate measuring method of forward multiangle atmospheric scattering includes setting optical emitting system / receiving system pair, crossing emitting light axis and receiving light axis on the same position by rotating two system relatively, arriving pulse light emitted by infrared LED to particle group at the same position and scattering pulse light by particle group, receiving said scattering by LED detector in receiving system, switching LED signal into switch phase sensitive rectifying circuit to use square wave oscillation signal to control pulse signal of infrared LED and switch ¿C on of said rectifying circuit to be synchronized.

Disclosed is an eye movement tracking calibration method based on a head-mounted eye movement module. A head-mounted module with two cameras is used, and the module is automatically calibrated through a calibration video played by a certain user watching a screen, so that the design purpose of reducing the requirements for the user and the complexity of the calibration process and improving the calibration efficiency are achieved. The method comprises the following steps: (1) enabling a user to wear an eye movement module on the head, and the eye movement module comprises two cameras which are respectively an eye camera for shooting the eyes of the user and a world camera for shooting a display screen; (2) playing a calibration video containing a moving object on a screen, wherein a userwatches the calibration video; (3) obtaining a saliency map set corresponding to the calibration video by using a video saliency detection method, and calculating the position of the moving object inthe screen according to the saliency map set and the position of the video window; (4) calculating user gaze vectors corresponding to the multiple frames of eye images by using an uncalibrated eye movement tracking algorithm; and (5) calculating a mapping relationship between the gaze vector and the screen in combination with the multiple frames of calibration videos and the gaze vector and the screen image corresponding to the multiple frames of calibration videos so as to calculate a screen gaze point corresponding to the gaze vector, thereby realizing automatic calibration.

The invention provides a digital bridge capacitive measuring module. According to the following technical scheme, a balancing bridge arm and a measuring bridge arm form a digital balancing mechanism, wherein the phase difference between alternating signals of the balancing bridge arm and the measuring bridge arm is 180 degrees; an excitation source unit generates three kinds of signals, wherein the 0-degree phase driving signals are used for driving a synchronous amplification circuit to send orthogonal filtering measuring signals into a zero-position balancing unit to generate rebalancing monitoring signals, the AC reference signals are used for driving a capacitor-balanced bridge arm circuit, and the AC excitation signals are used for driving a BITE detection bridge arm circuit in different times; the two alternating signals, with the phase difference being 180 degrees, of the balancing bridge arm and the measuring bridge arm are summed through a summing circuit and are filtered into a 0-degree phase driving signal and a 90-degree phase driving signal through a band-pass filter circuit; a CPU control unit conducts balance control on a D / A converter in the zero-position balancing unit, data of the D / A converter are compared with theoretical data pre-stored in the CPU control unit, and the CPU control unit uses the data, obtained when it is detected that the balancing bridge arm and the measuring bridge arm are balanced, of the D / A converter as the currently measured capacitance value.

The invention discloses a signal compensation circuit for a water supply remote monitoring system. The circuit comprises a frequency selection input circuit, a feedback compensation circuit and an operational amplifier output circuit, wherein the frequency selection input circuit receives a signal in a signal input end for receiving a signal by a control terminal in the water supply remote monitoring system; the feedback compensation circuit uses an inductor L1 and a capacitor C7,the capacitor C8 forms a filter circuit for filtering; meanwhile, the triode Q1 and the triode Q3 are used for forming a switching circuit to filter out abnormal amplitude signals in the signals; a compensation signal is improved for the output end of the comparator AR3 after a power supply + 5V is subjected to voltage division by a resistor R8; wherein the operational amplifier AR2 and the triode Q2 form a feedback circuit to feed back a signal to the inverting input end of the comparator AR3; and finally, the operational amplifier output circuit uses an operational amplifier AR4 to perform in-phase amplification on the signal and then outputs the signal, so that automatic frequency modulation calibrationcan be performed on the signal received by the control terminal in the water supply remote monitoring system by using the signal in the signal input end, signal compensation is performed, and frequency hopping and attenuation phenomena of the signal are prevented.