112results about How to "Improve Acquisition Accuracy" patented technology

In order to improve accuracy in determining whether or not an object touches a display screen, a display device includes a display unit and a processor. The display unit includes an image display unit which displays an image on a display screen, an optical input unit which picks up an image of an object adjacent to the display screen and a capacitive coupling detector which detects a capacitive coupling to the object adjacent to the display screen. The processor determines that the object touches the display screen by using, and concurrently calculates the coordinates touched by the object by using the capacitive coupling detected by the capacitive coupling detector, and the image picked up by the optical input unit.

The invention relates to a method and system for measuring the external characters of grafted seedlings based on machine vision and aims at enabling the external character parameters of the seedlings to be measured by the provided measuring method without being in contact with the seedlings. The external character parameters of the seedlings can be accurately measured by the provided measuring system. The invention adopts the technical scheme that the method for measuring the external characters of the grafted seedlings based on the machine vision comprises the following steps of: 1, acquiring the image of a whole tray of grafted seedlings in an overhead view direction; 2, calculating the seed and leaf parameter information of all the grafted seedlings in the acquired image of the whole tray of grafted seedlings by an image processing algorithm and sending the parameter information to a controller; 3, acquiring the image of one row of grafted seedlings in a front view direction, calculating the parameter information about the plant height and the long and short axes of the seedling diameter ellipsoid of each grafted seedling in the row of grafted seedlings by the image processing algorithm, and sending the parameter information to the controller; and 4, sequentially acquiring the images of all rows of grafted seedlings in the front view direction and repeating the step 3 until all grafted seedlings are measured.

The invention discloses a small-signal sectional fitting temperature compensation method of a water quality sensor, relates to the technical field of small signal processing, and in particular relates to a sectional fitting method which can realize a fitting effect for improving the measure accuracy, reducing the measure data conversion error and fitting a nonlinear curve to improve the measure precision. The method comprises the following steps of establishing a mathematic model by adopting a sectional linear fitting method, dividing a pH temperature coefficient KpH calibration curve into a plurality of intervals, fitting a corresponding linear equation by adopting a least square method, calculating the linear fitting precision, re-dividing the intervals to perform the fitting if the precision is lower than a threshold value until the precision meets the requirement, and further realizing the temperature compensation. A simple, rapid and precise mathematic model is adopted, so that the data acquisition accuracy can be effectively improved.

A main drive shaft of a power loom reaches the rated operating rpm of the loom by the time of the first beat-up of the reed, thus avoiding start-up faults in the fabric. A flywheel mass is accelerated to a start-up rpm that is higher than the rated operating rpm before it is coupled with the main drive shaft. The start-up rpm is determined automatically and iteratively, with ever-increasing accuracy in successive starts of the loom. When the main drive shaft is coupled to the flywheel mass, the flywheel mass rpm decreases simultaneously as the main drive shaft rpm increases from standstill to the operating rpm. The actual main drive shaft rpm is measured at least at the time of the first beat-up and any deviation from the rated operating rpm is evaluated by the loom control. After each start-up, a new data set is generated based on the measured values and is used to calculate an updated or modified flywheel start-up rpm in the next start-up operation so that the main drive shaft more accurately reaches at least the rated operating rpm by the time of the first beat-up of the reed.

The invention provides a multi-parameter distributed optical fiber sensing system. When the system transmits a detection signal to an optical fiber, an acousto-optic modulator is used to modulate an optical signal generated by a light source into a periodic pulse light. The magnitude of pulses in the periodic pulse light is different. External vibration information is collected when the pulse amplitude is large. When the pulse amplitude is small, the external temperature and strain information are collected. When the external vibration information is collected, the light intensity change of a Rayleigh scattered light generated by the optical fiber is obvious. Non-linear noise introduced by a stokes light generated by the optical fiber can be avoided when the external temperature and strain information are collected. The accuracy of information collection can be improved. A single information acquisition channel can be used to realize distributed multi-parameter acquisition of vibration, temperature and strain. The structure is relatively simple. The production cost of the system can be reduced.

The invention discloses a gray release method, a gray release processing method, a gray release node, a gray release system and a storage device. The method comprises the steps that a forwarding nodereceives an access request of a user and obtains a user identifier of the user; matching the user identifier with pre-stored target user information; wherein the target user information is determinedby the data analysis node by utilizing an analysis result of a user access record and is matched with target user characteristics determined by the strategy node; if the matching succeeds, forwardingthe access request to a target service node configured with a gray version of the application for processing; and if the matching fails, forwarding the access request to a common service node configured with a normal version of the application for processing. According to the scheme, the collection efficiency and accuracy of the release object can be improved.

The present invention discloses a time-sharing automatic water sample collection device, and belongs to water environment monitoring equipment. The time-sharing automatic water sample collection device comprises a water distribution system (a round disc, iron rods, a bottom disc, a water receiving funnel, a diversion pipe, water sample bottles and a tray), a power system (a rotation wheel and a rubber band), a transmission system (a threaded rod and a ball bearing) and a rotation control system (a cross beam, socket screws, screws, support columns, an escapement fork, a permanent magnet, an electromagnet and a stop rod). According to the present invention, the rotation wheel is pulled to rotate by using the rubber band, the water distribution system is driven to rotate through the transmission system, and the escapement fork is driven to rotate by using the suction and the repulsion between the electromagnet and the permanent magnet in the cases of power on and power off so as to control the rotation amplitude of the water distribution system; with the time-sharing automatic water sample collection device, the rain or river water in different periods can be separately collected into different water sample bottles so as to conveniently research the rainfall runoff process, the rotation driving force is provided by using the rubber band so as to provide the low power consumption, and the water pipe flushing function can be achieved so as to easily improve the water sample collection accuracy.

The invention relates to an adaptive photoelectric electronic yarn cleaner, which comprises a power supply management module, a control module, an RS485 communication module, a signal detection and interface module, an external light source module and an alarm display and operation module. The control module is used for giving a voltage value required for driving the external light source module, converting the highest analog voltage value acquired and processed by a photoelectric sensor into a digital value through an internal analog-to-digital (A/D) module, comparing the value with a system set brightness value to judge whether the current brightness value is compliant with the set value or not, and accordingly and properly adjusting the duty ratio of the output pulse width modulation (PWM) square waves to adjust the voltage value of the light source module. The adaptive photoelectric electronic yarn cleaner has the advantages that the acquisition accuracy is further improved and an alarm display circuit on the periphery of a chip can provide more intuitive information for operators.

The invention discloses a method and device for obtaining a dynamic traffic network map, relates to the technical field of the Internet of vehicles, and aims at solving a problem that a conventional dynamic traffic network map obtaining mode is low in accuracy. The main technical scheme of the invention comprises the steps: obtaining the position information of all vehicles at each segment in the traffic network map in real time; generating vehicle clusters corresponding to the segments according to the position information; obtaining the road condition weight value of each segment according to the vehicle density or operation speeds of vehicle clusters of each segment, and generating a real-time dynamic traffic network map. The method is mainly used for generating the dynamic traffic network map.

The invention provides an arbitrary bias point control system for an M-Z modulator, comprising: an M-Z modulator; an optical coupler; a photoelectric conversion amplifier used for receiving an opticalsignal provided by the optical coupler, and converting the optical signal into an electrical signal for amplification; a first low pass filter used for filtering out a fundamental component of the electrical signal; a band-pass filter used for filtering out a second harmonic component of the electrical signal; a second low pass filter used for filtering out a low-frequency direct current component of the fundamental component; a third low-pass filter used for filtering out a low-frequency direct current component of the second harmonic component; a divider used for performing division operation on the low-frequency direct current components in the fundamental component and the second harmonic component to obtain an offset error correction voltage; and an adder used for adding an offset error correction voltage, a low frequency jitter signal, and a direct current bias voltage to obtain a corrected direct current bias voltage, and supplying the corrected direct current bias voltage to the direct current bias terminal of the M-Z modulator. The invention is capable of achieving accurate control of any bias point of the M-Z modulator in a wide temperature range.

The invention discloses an image contour detection algorithm based on a machine learning method. According to three-layer characteristics obtained by the calculation of an image of a test set and image characteristics provided by gPb, a classifier is subjected to cross validation training by virtue of supervised learning to obtain a prediction model. The newly-input image can be predicted based on the model to obtain a precise contour of the image, and dependence on subjective setting of a person in a conventional image contour detection algorithm is eliminated. When an image contour is judged by virtue of the method, local characteristics under a plurality of channels of the image and global characteristics among pixels of the image are combined, so that the obtained image contour has excellent significance. Compared with a gPb contour detection algorithm, the image contour detection algorithm based on the machine learning method has high accuracy and recall rate, and the contour information of the image under a complicated environment can be effectively captured.

The invention discloses a low-voltage transformer area topology identification system based on characteristic current, and relates to the technical field of electric power. According to the system, branch terminals are installed on all power supply branches of a low-voltage transformer area, by means of the mode that a characteristic current is injected into one branch terminal and the characteristic current is identified by the other branch terminals, the topology logic of the power system of the low-voltage transformer area can be automatically identified, the automation and intelligence level is high, the acquisition difficulty of the power line topology of the low-voltage transformer area is greatly reduced, and the acquisition accuracy is improved.

The embodiment of the invention provides an unmanned aerial vehicle navigation information updating method and device. The method comprises the steps that a corresponding target quaternion is determined according to a pre-obtained attitude transfer matrix from a vehicle body coordinate system of an unmanned aerial vehicle to a northeast ground system; angular velocity data measured by a gyroscopeof the unmanned aerial vehicle are corrected based on the current magnetometer measurement data, accelerometer measurement data and GPS measurement data of the unmanned aerial vehicle in the flight state; numerical value updating on the target quaternion is conducted by applying the corrected angular velocity data, and the target quaternion subjected to numerical value updating is converted into attitude information in the navigation information of the unmanned aerial vehicle; and numerical updating is conducted on the position and speed information in the navigation information. Acquisition accuracy of the navigation information of the unmanned aerial vehicle can be effectively improved, and acquisition efficiency of the navigation information of the unmanned aerial vehicle can be effectively improved.

The invention discloses an angle measurement error compensation method for adding main control system data transfer error correction. The method comprises the steps of: eliminating an angle measurement error of an anemorumbometer; counting a density distribution histogram or distribution curve with a wind direction deviation angle of theta 3; determining existence of an angle transfer error between the anemorumbometer and a main control system; and performing the angle transfer error compensation. As the method can detect the angle transfer error of delta 2 between the anemorumbometer and the main control system, the limitation of a traditional angle measurement error compensation curve only capable of detecting an angle measurement error of delta 1 of the anemorumbometer, the win direction angle obtaining precision of the main control system is improved, the ventilation precision of a fan impeller is improved, and the power generation efficiency is improved. After the method is applied to a fan of a wind field in Hebei Province, the angle transfer error between the anemorumbometer and the main control system is detected as 3.5 degrees, so that the loss of electric energy production of 0.5% of the fan can be reduced.

The embodiment of the invention provides an information pushing method based on edge computing and artificial intelligence and a big data server, and the method comprises the steps: building a session node intention list, and obtaining session node intention description information according to the session node intention list; constructing a session node interest sequence by utilizing a target session node which is called in a target session subscription service segment in a big data session node sequence and is in a service flow direction according to a calling service position and an associated session node, so that session node interest description information is obtained; and according to the session node intention description information and the session node interest description information, obtaining a session interest degree between the target session service object and the associated session service object, thereby carrying out information pushing, and inputting information through a session node used for representing intention interest degrees of various session node intentions. Therefore, the purpose of obtaining more accurate interest portraits is achieved, the obtaining accuracy of the interest portraits is improved, and the service matching precision of information pushing is improved.

The invention relates to a method for acquiring a zero-sequence current transient starting point during a single-phase earth fault of a power distribution network. The method comprises the following steps of: alternating-current sampling is made on an outgoing line end and each branch line of a transformer substation at the same sampling frequency by adopting a PMU and a transient recording type fault indicator; when a single-phase earth fault occurs, the PMU and the transient wave recording type fault indicator upload a fault wave recording waveform to a main station; the main station analyzes the bus zero-sequence voltage waveform uploaded by the PMU and finds the position of a zero-sequence voltage sudden change point through a periodic amplitude comparison method; and the transient starting point position of the zero-sequence current of the transient recording type fault indicator is acquired through time conversion. The acquisition of the transient starting point of the zero-sequence current signal of the high-frequency unstable transient recording type fault indicator is converted into the acquisition of the abrupt change point of the zero-sequence voltage signal of the low-frequency stable PMU, so that the error probability is reduced, and the acquisition accuracy is improved.

The invention discloses a binocular vision measurement device for solar wing deployment locking depth detection. A laser emission device projects laser to a measurement object to form multiple light stripes on the surface of the measurement object; a visual module performs acquisition and imaging of multiline structural light to obtain two-dimensional images; a transmission module sends the two-dimensional images to a data processing module; after the data processing module finishes extraction and refinement, three-dimensional reconstruction is carried out according to calibrated CCD camera model selection, camera baseline, measurement distance, measurement range, pixel resolution, camera included angle and a relative position relation between the visual module and a projection module to obtain three-dimensional coordinates of each space point of the light stripes, the form-position relation of each element in the measurement object is calculated, and the locking depth of the measurement object is calculated and outputted.

The invention discloses a test optimization method and device based on test questions, a storage medium and a terminal. The main purpose is to solve the problems that the answering time is long, the answering process is interrupted, too long text data is lost, and the answer obtaining efficiency and accuracy of test questions are reduced due to the fact that answering is completed through text input in the prior art. The method comprises the steps that when an obtaining request of test questions to be answered is received, historical test data corresponding to the test questions to be answeredare obtained, and the test questions are obtained by splitting the test questions and matching the test questions with answer points of corresponding test answer information; matched target test questions are extracted by utilizing the historical test data; and the target test questions are input. The method is mainly used for test optimization based on test questions.