40results about How to "Easy to calibrate" patented technology

The present invention discloses a special measurement system for concurrently measuring ammonia gas and nitrogen oxide in motor tail gas. The special measurement system comprises a motor exhaust gas sampling unit, a NOx / NH3 analysis unit and a computer control and management unit. According to the present invention, sample gas and air are subjected to dilution mixing to obtain diluted discharge gas, wherein the air is filtered, and then enters a CFV1 for metering dilution air flow; the diluted discharge gas passes through a CFV2 to meter a dilution discharge gas flow; the resulting gas is divided into two parts according to the flow path, wherein one part of the gas passes through an ammonia gas oxygen catalysis conversion device, and enters a CLD1 to obtain the total NO measurement value containing NH3 concentration, and the other part of the gas directly enters a CLD2 to obtain a NO measurement value, wherein the NO measurement value does not contain NH3; and concentration values of NH3 and NOx are obtained based on the difference between the two measurement values ??of the two parts of the gas. The special measurement system of the present invention has the following advantages that: requirements on engine transient state operating condition power measurement and NH3 measurement by the national stage IV can be met, NH3 / NOx component concentration can be measured simultaneously, measurement precision is high, and the like. In addition, with the present invention, NOx conversion efficiency (SCR catalysis reduction efficiency) can be calculated according to the measurement results.

The invention provides an initialization calibrating method for an M-IMU human motion capture system and relates to an initialization calibrating method for a human motion capture system. According to the initialization calibrating method, the problems of complex operation, low precision and the like in the prior art are solved. The initialization calibrating method comprises the following steps: (1) dividing human limbs into 17 parts, marking serial numbers, and defining a coordinate system; (2) fixing M-IMU sensors on 17 parts; (4) setting three calibrating gestures; (4) carrying out implication averaging on obtained data, so as to obtain average measuration of the M-IMU sensors under the three calibrating gestures; (5) acquiring a relative rotation matrix RS2B2 of a trunk sensor coordinate system and a human coordinate system; (6) acquiring a rotation matrix ReB2 of the trunk sensor coordinate system relative to the human coordinate system; (7) calculating to obtain formula (show in the description); and (8) acquiring a relative rotation matrix RSiBi<o> of a sensor coordinate system of each limb relative to the human coordinate system. The initialization calibrating method is applied to the limb gesture measurement field.

The invention provides a calibration method, calibration terminal and calibration system for an automobile. The calibration method is executed by the calibration terminal, and comprises the following steps of acquiring CAN information of the automobile; rendering an interface according to the CAN information, wherein the interface displays running parameters of the automobile; acquiring input information of the interface, and based on the running parameters and the input information, acquiring a calibration value of each parameter to be calibrated; and sending the calibration values to a VCU of the automobile. In this way, the calibration terminal acquires the CAN information, and displays the running parameters on the interface, so that intuitive and convenient calibration can be performed by a calibrating staff based on the display of the interface, and the calibrating value of each of the parameters to be calibrated is acquired. According to the calibration method, the calibration terminal and the calibration system disclosed by the invention, the calibration efficiency and the calibration accuracy can be improved.

The invention relates to a calibration method capable of aiming at the S parameter amplitude-frequency characteristic of a modularized probe. A transmission signal acquisition module with a modularized probe structure is inserted into a calibration backboard of a known characteristic parameter for testing, a connector on the calibration backboard is designed into single-row pins, a row-by-row test is carried out, and the S parameter amplitude-frequency characteristic from each connector pin to the radio frequency interface of the other end of the modularized probe is induced by cascade characteristics according to a test result. The calibration method can aim at the modularized probe of which one end is a multi-array pin connector for calibration and has a simple calibration way, meanwhile, the calibration backboard is designed to make modeling simple and accurate, and an accurate S parameter amplitude-frequency characteristic calibration result can be obtained.

The invention relates to the technical field of ink-jet printing, and particularly discloses a positioning detection method and device based on an ink-jet printer, electronic equipment and a medium. The method comprises the steps that a first image which is uploaded by a first collection terminal and contains a target is obtained, and the first position information of a target point of the targetin the first image is extracted; based on the first position information, a second collection terminal is controlled to move to a position corresponding to the first position information, a second image which is shot by the second collection terminal and contains the target is obtained, and the second position information of the target spot of the target in the second image is extracted; an errorvalue of the target spot is calculated according to the target spot standard position information and the second position information of the target; and the position of the target spot is adjusted according to the error value, so that the target spot moves to a position corresponding to the standard position information. According to the positioning detection method and device based on the ink-jetprinter, the electronic equipment and the medium, the calibration mode of each part of the ink-jet printer can be simplified, and the calibration accuracy of each part is improved, so that the requirement of the printing display industry on ultrahigh precision of ink-jet printing is met.

A computer-implemented method for determining a water treatment parameter includes receiving, by a computer, measurements of a fluorescence emission spectrum of a water sample including a first peak emission wavelength and at least a second peak emission wavelength, emitted in response to an excitation wavelength, receiving, by the computer, an absorbance measurement obtained at the excitation wavelength of the water sample, determining, using the computer, a ratio of the measurements at either the second peak emission wavelength, or a sum of measurements at a plurality of peak emission wavelengths including at least the first peak emission wavelength and the second peak emission wavelength, to the first peak emission wavelength, and calculating, using the computer, a value for the water treatment parameter based on a combination of at least the ratio and the absorbance measurement.

The invention discloses an aerial photography image calibration method for an unmanned aerial vehicle suitable for plane measurement. According to the method, firstly, an image calibration model is built, and whether any map is subjected to calibration or on-site aerial photography calibration is judged. If any map is judged to be subjected to calibration, the fine adjustment is carried out to complete calibration after the image calibration operation. If any any map is judged to be subjected to on-site aerial photography calibration, a photography image is collected and calibration parametersare recorded. After that, the automatically calibrating operation is carried out and preliminary calibration parameters are obtained. Meanwhile, whether primary calibration parameters meet the requirement or not is judged. If primary calibration parameters meet the requirement, the calibration is completed. If primary calibration parameters do not meet the requirement, the plane image correctionor the plane image fast calibration is carried out. After the plane image correction or the plane image fast calibration, the fine adjustment is carried out to complete calibration. The method is simpler, clearer and faster in imaging operation, so that the real-time unmanned aerial vehicle calibration and measurement can be achieved. The time cost is greatly saved. The fast calibration mode can be adopted, so that the map blind spot problem of image calibration can be compensated. The calibration efficiency and the user experience are greatly improved.

A test platform for wire rope tension balance wireless monitoring system calibration, mainly comprises a wire rope tension balance wireless monitoring system and a calibrating device; the wire rope tension balance wireless monitoring system comprises a host computer, a lower computer and a human computer interface; the calibrating device comprises a power apparatus, a roller, a wire rope, a hydraulic oil cylinder and a directive wheel, wherein the power apparatus and the roller are connected by power; the wire rope is nested in the friction liner of the roller and the directive wheel; the hydraulic oil cylinder sleeve is set on the wire rope and the control system is connected to the power apparatus and the directive wheel.

The invention relates to a robot position calibrating method, device and system and a robot system. Information of an actual spot position of a laser device on a PSD position sensor can be obtained byestablishing a virtual constraint kinematic chain between the laser device and the PSD position sensor, selecting feature points in the laser device and analyzing by combining the virtual constraintkinematic chain, so that the position and posture and the zero-position deviation of a robot can be self-calibrated according to the actual spot position and a corresponding ideal spot position. Through the scheme, the calibration operation of the position of the robot can be realized by only observing and analyzing the movement of the feature points without the end of the robot or projecting light spots to the centre of the PSD position sensor by the laser device from at least seven directions; and compared with the conventional industrial robot position calibrating method, the robot positioncalibrating method has the advantages of strong calibrating convenience.

The present invention relates to an integrated circuit for smoke alarm. The integrated circuit includes three detection function pins, two power supply pins, an alarm pin, and two pins for implementing calibration, keys and instruction. The invention also comprises a smoke alarm system. The system includes the above integrated circuit and peripheral circuits. The peripheral circuits include a power supply module, a smoke sensor module, an alarm module and a key and indication module. The integrated circuit for smoke alarm and the system with the above structure have fewer pins and simple peripheral devices, the smoke alarm sensitivity and consistency are better according to a digital calibration method, a single-pin driving alarm function is achieved by a special buzzer driving mode, the calibration mode is simpler and is easier to implement, the overall cost is reduced, and the integrated circuit and the system have a wide range of applications.

The invention discloses a multi-nozzle calibration mechanism of a 3D printer. The multi-nozzle calibration mechanism comprises a nozzle bottom plate, wherein a plurality of nozzle bodies are arrangedon the nozzle bottom plate, mounting openings are formed in the nozzle bottom plate corresponding to each nozzle body, and each mounting opening is provided with a positioning device for positioning the corresponding nozzle body and an adjustment device used for adjusting the nozzle body. The nozzle calibration method comprises the following steps that a first nozzle body is rotated through a rotating assembly, so that a nozzle dot matrix of the first nozzle body needs to be kept parallel to the direction of the nozzle body in the Y-axis movement along the Y-axis connecting line, and the remaining two nozzle bodies are calibrated by taking the first nozzle body as a reference. According to the multi-nozzle calibration mechanism, the nozzle is calibrated through the multi-nozzle calibrationstructure before the multi-nozzle 3D printer is delivered, so that nozzle bodies are parallel to one another, the error of 3D printing is reduced, and the printing precision is improved.

The invention discloses a radar calibration method and device and a storage medium, and the method comprises the steps: obtaining a two-dimensional image of a camera and a two-dimensional point cloud image of a radar at the same time; determining a line segment representing the detection target in the two-dimensional image, and obtaining a plurality of points corresponding to the line segment position in the two-dimensional point cloud image to form a point-line pair set; and determining a plurality of point-line pairs meeting a preset condition, constructing a plurality of point-line constraints, and randomly selecting a preset number of point-line constraints from the plurality of point-line constraints as target point-line constraints. After converting into linear constraint, solving a closed-form solution of the linear constraint and obtaining an initial solution of a conversion matrix; and performing nonlinear optimization on the initial solution of the conversion matrix by using the remaining point-line constraints to obtain an accurate conversion matrix for calibrating the radar. According to the technical scheme provided by the invention, the technical problems of high calibration time and labor cost caused by performing radar calibration through a calibration plate and poor model robustness easily caused by using a point-to-point constraint direct solution conversion matrix in the prior art can be solved.

The invention provides a sensor calibration method, and relates to the technical field of sensors. The sensor calibration method comprises the following steps: S1, establishing a connection channel between a sensor and a parameter acquisition system, and acquiring working parameters of the sensor; S2, enabling the central processing unit to analyze the working parameters of the sensor, performingthe matching of error characteristic values, and establishing an error-related data report; S3, generating a central processing unit error calibration system, establishing an error calibration systemand sensor transmission channel, and correcting sensor working parameters in real time; S4, generating a calibration data reference table, uploading the calibration data reference table to a cloud server, and establishing a bidirectional transmission channel between the cloud server and the central processing unit; S5, generating a parameter calibration model, downloading a cloud data import model, and training a sensor calibration intelligent algorithm. The calibration mode of the sensor is simple, a large amount of time and manpower do not need to be consumed, the calibration efficiency of the sensor is improved, and meanwhile, the calibration cost of the sensor is reduced.

The invention discloses a technical method for calibrating (lofting) a ground point through mobile phone photography. According to the method, under the condition that at least two control point object space coordinates are known, a smartphone with a known focal camera function and three poles with known length and scales are used as tools, and photogrammetry, coordinate transformation and other principles are utilized to complete the work of performing on-spot calibration (lofting) on a to-be-calibrated (lofted) point with known object space coordinates. Through the method, it is not needed to carry professional measurement equipment, and the calibration (lofting) task of the ground point can be completed economically and efficiently.

The present invention provides a sealing point labeling method and system for VOCs pollution source detection, both of which select the group images to be marked currently to be marked with sealing points, and then correspondingly input the attributes of the group images to be marked currently to be marked with sealing points information, and submit it for local storage, and generate the above-mentioned WEB page picture of the group image to be marked, and display the above-mentioned generated WEB page picture in the preset sealing point labeling window, and display the WEB page picture in the above-mentioned sealing point labeling window Mark each corresponding sealing point one by one on the web page picture. The present invention is convenient for the staff to calibrate the sealing points in the group image, and the calibrated sealing points are convenient for the staff to continue to use, which can reduce the workload of the staff and facilitate the improvement of inspection efficiency; and the sealing point calibration operation of the present invention The method is intuitive and convenient, greatly improving the efficiency of sealing point information acquisition, reducing labor costs, and using the WEB method, which reduces the cost of system deployment.

The invention discloses a convolutional neural network quantification method for automatically sensing weight distribution through reinforcement learning. The method comprises the steps: carrying out the fusion of a parameter of batch processing operation of each layer and the weight of convolution operation, obtaining a fused weight and offset, and obtaining the distribution information of the fused weight of each layer in a floating point convolutional neural network model; automatically searching an optimal weight scaling coefficient of each layer according to the distribution information reinforcement learning of the weight of each layer, and weighting the floating point weight into INT8 type data based on the weight scaling coefficient of each layer; inputting a calibration data set, recording each layer of output feature map when each group of data is input, selecting a mode as a scaling coefficient of each layer of output feature map, and calculating to obtain a scaling coefficient of each layer of bias according to the scaling coefficient of each layer of weight and the scaling coefficient of each layer of output feature map so as to quantize the bias of the floating point into the bias of INT32 type; and constructing a forward reasoning process based on the INT8 type data, the INT32 type bias and the total scaling coefficient to complete quantification.

The invention discloses a turbocharger deflation valve control device which solves the problem that opening degree of an existing supercharger deflation valve is fixed or can not be continuously adjusted. The turbocharger deflation valve control device comprises an air inflow control valve (2), a pressure stabilizing tank (3), an air outflow control valve (6), an equal-diameter tee joint pipe connector (7), an outflow air pressure gauge (8) and a bypass valve (13). The left end of the air inflow control valve (2) is connected with a high pressure air source pipeline, the right end of the air inflow control valve (2) is connected with the left end of the pressure stabilizing tank (3), the right end of the pressure stabilizing tank (3) is connected with a pipeline at the left end of the air outflow control valve (6), an air supply pressure gauge (4) is connected on a pipeline between the pressure stabilizing tank (3) and the air outflow control valve (6), the right end of the air outflow control valve (6) is connected with a connector at the left end of the equal-diameter tee joint pipe connector (7), the right end of the equal-diameter tee joint pipe connector (7) is connected with a pipeline of a turbocharger deflation valve controller (15), and the lower end of the equal-diameter tee joint pipe connector (7) is connected with a pipeline of the bypass valve (13).

The invention relates to a camera external parameter automatic calibration method, device and equipment. The method comprises the steps: acquiring an image shot by a monocular camera installed on a vehicle; acquiring monocular camera rotation parameters according to the image, including identifying an upper region and a lower region in the image according to a preset rule, and determining a monocular camera pitch angle according to a ratio of the upper region to the lower region; and obtaining a connecting line between two symmetrical points of the vehicle body along the axis in the image, andcalculating an included angle between the connecting line and a horizontal line to determine a rolling angle. According to the scheme provided by the invention, the external parameters of the monocular camera can be automatically calibrated, and the requirement of a high-precision map is met.

The invention discloses a calibrating tool of an engine oil consumption testing device. The engine oil consumption testing device is used for testing engine oil consumption of an engine. The calibrating tool comprises a sealed box body, a container and an electronic scale. An engine oil output valve is arranged at the upper portion of the side wall of the sealed box body and is used for being connected with an oil inlet of the engine oil consumption testing device. An engine oil input valve is arranged at the lower portion of the side wall of the sealed box body and is used for being connected with an oil outlet of the engine oil consumption testing device. An engine oil consumption simulating valve is arranged in the middle of the side wall of the sealed box body. The container is communicated with the engine oil consumption simulating valve. The electronic scale is used for measuring actual consumption of engine oil flowing into the container through the engine oil consumption simulating valve. The engine oil consumption testing device can be calibrated by comparing the actual engine oil consumption and engine oil consumption tested by the engine oil consumption testing device. By means of the tool, the engine oil consumption testing device can be calibrated rapidly, conveniently and accurately.

The invention relates to a calibration method for a dynamic test of a detection wheel, which comprises the following steps: multiple echo waveforms of a 0-degree normal probe are read, and through moving the detection wheel on a test block and adjusting the relative position of the detection wheel and the upper surface of the test block, multiple echo waveforms of the 0-degree normal probe and related performance indexes displayed on the test instrument accord with a preset calibration parameter range; according to ideal conditions, the 0-degree normal probe is arranged in the middle of all the probes and located in the same vertical plane with the center line, the 0-degree normal probe is vertically aligned with the center line of the steel rail in the ideal scanning process, and all horizontal cracks can be detected, so that the 0-degree normal probe is selected for dynamic detection of the detection wheel, and the center line of the wheel surface of the detection wheel is aligned with the center line of the upper surface of the test block at the beginning of the test so as to be used as a standard position for calibration, and the detection wheel can be quickly, conveniently and accurately calibrated only by observing multiple echo waveforms of the 0-degree normal probe.

The method for calibrating the positions of the printing head and the workpiece plane comprises the following steps: (S1) establishing a relationship between pixel coordinates and physical coordinates according to a position relationship between a calibrated printing datum point and the workpiece plane; (S2) printing points are formed on the plane of the workpiece, and the position relation between the printing points and the cross center of the camera is calibrated according to the printing points; (S3) calibrating the position relation with the center of a light spot of the laser height measurement sensor; and (S4) calibrating the position relation between the Z axis and the surface of the product.

The invention discloses a large-stroke and adjustable multi-channel eddy current micro-displacement sensor parallel calibration device, which is characterized in that a probe support frame for mounting a sensor probe and a translation platform support frame for mounting a translation platform are fixedly arranged on a substrate, an inside micrometer is fixed on a micrometer support frame, a head of the inside micrometer is in contact with a ball on the side surface of the translation platform, and the inside micrometer is fixed on the translation platform support frame; the inside micrometer, the ruler head and the tension spring in the translation table are rotated to drive the translation table to move, so that the measured object is driven to horizontally move, the distance between the measured object and the sensor probe is changed, the variable quantity is read through the inside micrometer, and the output information of the sensor is synchronously recorded; and repeating the process to obtain multiple groups of sensor input and output signals, and obtaining a calibration result of the eddy current micro-displacement sensor through data fitting. According to the invention, the offset distance and the measurement stroke can be adjusted according to application requirements, and calibration of eddy current micro-displacement sensors of various specifications can be met. And a plurality of sensor probe supporting frames can be arranged, so that parallel calibration of the multi-channel sensor is realized, and the working efficiency is improved.

Disclosed is a radar liquid level indicator calibrating device. The radar liquid level indicator calibrating device comprises a radar liquid level indicator. The radar liquid level indicator is installed inside a storage tank, an installing box is arranged inside the storage tank, a transparent groove is formed in the center of the bottom of the installing box, the top of the radar liquid level indicator can run through the transparent groove, the top end of the radar liquid level indicator is connected with a first gear, a transverse plate is arranged inside the installing box, a first motoris arranged at the lower portion of the transverse plate, the first motor is connected with a rotating rod, the rotating rod is connected with a second gear, the first gear can be meshed with the second gear, a calibration box is arranged inside the storage tank, a calibration plate is arranged inside the calibration box, two vertical plates are arranged inside the calibration box, a transverse rod is arranged between the two vertical plates, one end of the transverse rod is connected with a second motor, the other end of the transverse rod is connected with a second bearing, the calibration plate is connected with the transverse rod, a baffle groove is formed in the side wall of the storage tank, a first electric push rod is arranged inside the baffle groove and connected with a baffle. The radar liquid level indicator can be accurately calibrated inside the storage tank, and time is saved effectively on the premise of ensuring the calibration accuracy.

The invention discloses a facility asset icon generation method of a road comprehensive rod system, which comprises the following steps: establishing data objects for each part of the comprehensive rod system, including IDs and asset icons of the data objects; establishing an installation relation matrix of each component of the comprehensive rod according to the component size and the installation relation; and reading the data object ID according to the installation relation of each component, establishing a component installation hierarchy queue stack, splicing corresponding component icons to corresponding positions according to a first-in and second-out principle, and generating facility asset icons. Complex logic relations among parts of the comprehensive rod system are calibrated in a map construction mode, a single data object of the road comprehensive rod system can be managed, and a two-dimensional axis side icon reflecting a spatial three-dimensional installation perspective relation can be generated.

The invention discloses a gear adjusting structure of the hand-operated coffee bean grinder. The structure comprises a main body, a main shaft, a grinding disc ring and a grinding disc core, the grinding disc ring is fixed in an inner cavity of the main body, and the grinding disc core is located in the grinding disc ring; the lower end of the main shaft penetrates through the grinding disc core and then is screwed with an adjusting knob through threads; the adjusting button is used for adjusting a gap between the outer side wall of the grinding disc core and the inner side wall of the grinding disc ring; gear marks are fixed to the lower end face of the grinding disc core, and at least two different gears are arranged in the gear marks. A consumer can easily obtain coffee bean particles which the consumer likes by aligning to the corresponding gears through the adjusting button. The gear adjusting structure is compact in structure, the gears are convenient to calibrate, and the production is convenient. After one-time gear calibration in the assembling process, a consumer does not need to repeatedly calibrate the gear every time the gear is used, and the gear calibration device isconvenient to use by the consumer. The invention further relates to a gear calibration method.

The present invention relates to an integrated circuit for smoke alarm. The integrated circuit includes three detection function pins, two power supply pins, an alarm pin, and two pins for implementing calibration, keys and instruction. The invention also comprises a smoke alarm system. The system includes the above integrated circuit and peripheral circuits. The peripheral circuits include a power supply module, a smoke sensor module, an alarm module and a key and indication module. The integrated circuit for smoke alarm and the system with the above structure have fewer pins and simple peripheral devices, the smoke alarm sensitivity and consistency are better according to a digital calibration method, a single-pin driving alarm function is achieved by a special buzzer driving mode, the calibration mode is simpler and is easier to implement, the overall cost is reduced, and the integrated circuit and the system have a wide range of applications.

The invention discloses dummy hip joint calibration equipment for automobile crash test, and relates to the field of test dummy calibration equipment. The equipment comprises a support plate. A firstvertical plate is fixedly connected to one side of the top of the support plate, and a fixation box is fixedly connected to the top of one side of the first vertical plate through a hydraulic rod; a first sliding rail is fixedly connected to one side of the inner wall of the fixation box; a bidirectional threaded rod is rotatably connected to the bottom of the inner wall of the fixation box through a bearing; and a first handle is fixedly connected to the top end of the bidirectional threaded rod. According to the invention, better angle adjustment can be carried out during calibration, so that a dummy can be conveniently calibrated from a plurality of positions of the hip joint of the experimental dummy, the calibration work is better guaranteed, and the accuracy of the automobile collision test is improved; the height of the calibration equipment can be adjusted, so that the calibration equipment can be conveniently used by testers with different heights, the use requirements of different testers are better met, the practicability is improved, and the height of the test dummy can be adjusted.

The invention discloses a laser physiotherapy instrument capable of improving OSAHS and snoring. The laser physiotherapy instrument mainly comprises a control unit, an oral cavity fixation device, anda laser module, a display unit and a detection unit which are connected with the control unit, wherein the laser module comprises a laser source, a laser output unit and an indication light source, the oral cavity fixation device is used for assisting in opening the oral cavity and fixing a relative position of the laser output unit and the oropharyngeal part, the detection unit is used for detecting the oropharyngeal state of a user and forming an image, the display unit is used for displaying the oropharyngeal image fed back by the detection unit and displaying a simulated airway image at the same time, and the control unit is used for superposing the simulated airway image to the oropharyngeal image, performing fitting to determine a target area needing laser physiotherapy and controlling the laser module to perform physiotherapy on oropharyngeal tissues in the target area. According to the laser physiotherapy instrument, a user can perform operations by himself / herself, the laserphysiotherapy is carried out at home to improve the airway state, and therefore the alleviation of OSAHS and snoring is realized.