107 results about "Bias detection" patented technology

A remaining-capacity dispersion detecting apparatus for a battery pack having a plurality of cells includes a total voltage sensing section adapted to sense a total voltage which is a terminal voltage of the whole of battery pack; a storing section adapted to store a value of the total voltage when the battery pack becomes under unloaded condition from loaded condition; and a dispersion detecting section. The dispersion detecting section is adapted to detect a value of the total voltage at a time of activation before the battery pack becomes under the loaded condition from the unloaded condition, to compare the currently-detected total voltage value with the total voltage value previously stored by the storing section, and to detect a dispersion in respective remaining capacities of the plurality of cells in the case where a difference between the currently-detected total voltage value and the previously-stored total voltage value is greater than or equal to a predetermined value.

In one embodiment, a mobile device or a network device is configured to identify when a transit vehicle deviates from a transit path. The mobile device is configured to perform a positioning technique to generate data indicative of the location of a mobile device. Based on the location of the mobile device, a path is identified. The path is associated with an estimated path width based on the classification of the path and/or the accuracy of the positioning technique. A target route is calculated using the estimated path width. As the transit vehicle travels, the target route is compared to the location of the mobile device. If the mobile device and or transit vehicle deviates from the target route, a message is generated. The message may indicate that the transit vehicle is being re-routed and/or recommends the computation of a new path.

The invention discloses a CRTS (Slab Ballastless Track) III type track slab machining deviation detection method. The method comprises the following steps: scanning a track slab by a laser scanning system of a mechanical arm and/or a mechanical slide track, correcting acquired data into track slab surface laser point cloud data of a unified coordinate system; automatically extracting component models of the track slab from the laser point cloud data, and acquiring geometrical sizes of components of the track slab; comparing the acquired geometrical sizes of the components of the track slab with design parameters of the track slab, and calculating an overall dimension machining deviation of the track slab; and comparing the track slab surface laser point cloud data with a three-dimensional design model of the track slab to obtain an overall machining deviation of the track slab, managing track slab detection data in a database way, and uploading original detection data and result data to a remote server in real time to realize informatization management of track slab detection results through a network release system. The method has the advantages of high detection efficiency, low personnel investment and no need of detection tools.

The invention discloses a quick and intelligent acquisition system for dimensions of rail transit infrastructures. The system is composed of a laser range finder, an infrastructure type identification device and a laser point cloud collection system. The laser range finder tracks and measures distance information of infrastructures in real time. The infrastructure type identification device is used for obtaining design parameter information of the infrastructures. And the laser point cloud collection system consists of an industrial robot, a laser scanner and an optical tracker; the industrial robot drives the laser scanner to dynamically obtain laser point cloud data of the surfaces of the infrastructures; and the optical tracker tracks the laser scanner and provides real-time spatial position and attitude information for the laser scanner. In addition, the invention also discloses a dimension offset detection system and detection method of rail transit infrastructures. According to the detection method, no detecting person intervention is needed; and automatic, intelligent and informationized detection of large infrastructures like a ballastless track slab can be realized. Compared with the prior art, the provided detection method enables the efficiency to be improved by over five times and the detection precision to be improved by one magnitude order.

The invention provides a shelf posture deviation detecting method and system based on characteristic information graph. The method comprises the following steps: 1) installing an upward viewing camera on a robot; 2) marking the mapping relationship between the camera pixel coordinate system and the robot coordinate system; 3) configuring a graph with characteristic information at the bottom of the shelf; measuring the coordinates of the graph characteristic points in the shelf coordinate system; 4) when the shelf is lifted by the robot, scanning the graph by the upward viewing camera to obtain the pixel coordinates of the graph characteristic points; 5) through the mapping relationship in step two, calculating and obtaining the coordinates of the pixel coordinates of the graph characteristic points mapped in the robot coordinate system; and 6) calculating the posture deviation of the shelf relative to the robot. The invention detects the posture deviation of a shelf through a camera. The entire implementation process of the invention is convenient and rapid. As the price of the camera is low and it is not necessary to make modifications to a large number of shelves, the cost is therefore reduced.

A system for managing and displaying collaborative content in a database. The database is configured to store both editor-generated content and user-generated content. The system also includes a server interfacing with the database, a display device connected to the server, a editor content module interfacing with the database and configured to display the editor-generated content on the display device, a user interface module running on the sever, a user content module configured to receive the user input from the user interface module and display the user input as user-generated content on the display device, a validation module interfacing with the user content module, wherein the validation module is configured to verify the accuracy of the user-generated content, and a bias detection module interfacing with the user content module, wherein the bias detection module is configured to detect bias in the user-generated content.

The invention discloses a detection method for building abnormal energy consumption data. The detection method comprises the following steps of firstly collating original data according to a time series; then, performing judgment by referring to industry indexes so as to find out abnormal data in a specific time slot; then, filtering out an abnormal value in the abnormal energy consumption data by adopting the deviation detection technology in data mining; finally, finding out an abnormal point in the data by adopting a discrete Fourier transform-based time series. The method for performing accurate positioning on the abnormal data in building energy consumption data, provided by the invention, is capable of replacing an empirical threshold judging method generally used in current energy industry; by means of an artificial intelligent analysis method in data mining and the application of the discrete Fourier transform principle, the abnormal energy consumption data is prevented from being misjudged, misreported and omitted, and effective abnormal energy consumption monitoring information is provided for energy consumption departments and personnel.

The invention discloses a distributed converter transformer direct current bias detection system and a detection method thereof. The detection system comprises a plurality of detection terminals. Each detection terminal comprises a sensor module, a data acquisition module, a central controller, a communication module, a clock module and a power supply module; the sensor module comprises a microphone, an acceleration sensor and a current transformer. The method comprises the steps of installing a detection terminal in advance, separately acquiring a noise sound pressure level of noise signals, a 1/3 times frequency spectrum, a speed amplitude of vibration signals and a neutral point current effective value in two operation modes which are a normal operation mode of a converter transformer and a single-pole ground-loop debugging operation mode, comparing differences between acquired data in the two operation modes and diagnosing whether the converter transformer belongs to a direct current bias treatment scope according to the difference. The distributed converter transformer direct current bias detection system and the detection method thereof of the invention can overcome problems of a broad distribution scope and a large quantity of transformer stations, do not need excessive manpower and equipment resources, and have advantages of a flexible mode and relatively low cost.

An image processing apparatus detects a noise area in image data generated by decoding encoded data encoded by a frequency transform method and a lossy compression method. The image processing apparatus includes a motion detection unit for detecting motion in an area having at least one pixel in the image data, a deviation detection unit for detecting the deviation of the image motion in the area having at least one pixel, and a noise detection unit for detecting the noise area in accordance with the deviation of the image motion.

A signal processing system and methods for controlling a bandwidth of the signal processing system are disclosed. One method includes the steps of detecting a presence of an adjacent signal on at one adjacent channel relative to a desired channel, detecting a modulation characteristic of the desired channel, measuring a signal strength on the at least one adjacent channel, measuring a signal strength on the desired channel, and adjusting a bandwidth filter applied to the desired channel in response to the measurements and detection steps.

In a motor control device according to the invention, upon velocity control of a motor, a superimposed signal generating unit 9 outputs a superimposed signal idh of a repetitive waveform, such as a triangular wave or a sine wave. A d-axis current command generating unit 10 adds the superimposed signal idh generated by the superimposed signal generating unit 9d to a d-axis current command idc*0 and outputs a d-axis current command idc*. An axial misalignment detecting unit 11 (11a, 11b, 11c, and 11d) receives the d-axis current command idc* and a q-axis current command iqc* and outputs an axial misalignment angle estimation value Δθ̂. An axial misalignment correction unit 12 receives the axial misalignment angle estimation value Δθ̂ and an actual detected position θm and outputs a position after correction θm′. Therefore, detection and correction can be performed in real time through calculation at a given timing during a normal operation.

A method is for determining a profile depth of a tire profile. The method includes at least the following steps: a) detecting an acceleration of a measurement point on a tire inner side of a vehicle tire, wherein a deviation, caused by contact of the vehicle tire with a roadway, of the acceleration of the measurement point within an observation window is detected, b) deriving at least one analytical characteristic variable which is characteristic of the profile of the detected acceleration, wherein the at least one analytical characteristic variable characterizes the non-periodic profile of the detected acceleration within one tire rotation, c) determining the profile depth in a manner dependent on the at least one analytical characteristic variable, wherein a calibration curve yields the dependency between the analytical characteristic variable and the profile depth, and the calibration curve assigns a profile depth to the derived analytical characteristic variable.

Provided is a snow noise removing algorithm free of reference detection. First, pixel points adjacent in position and similar in gray scale (color) are classified into a block, and isolated blocks with the area smaller than a threshold value are judged to be noise points; the noise points are filtered, and non-noise points are directly output; when the number of signal points within a 7*7 neighborhood region around the noise points is zero, the noise points are not processed, and otherwise, a gray scale self-adaptation weighting average value of the signal points in the neighborhood region serves as a new gray scale value of the pixel points. The deviation between the filtering result and the original image pixel gray scale is subjected to statistics, snow noise is detected, when the deviation is larger than a certain value, it is thought that snow noise exists, the filtering result is output, otherwise, it is thought that no snow noise exists, and an original image is output.

The invention provides a device and method for detecting the smoothness of a laser track, and the method comprises the steps: detecting and obtaining a horizontal base measurement value Xi and a vertical base measurement value Y1 of a to-be-measured position Pi through a photoelectric measurement target; detecting a horizontal random deviation value delta(Xi) and a vertical random deviation valuedelta(Yi) of a laser reference beam through a deviation detection unit on the photoelectric measurement target, and correcting the horizontal random deviation value delta(Xi) and the vertical random deviation value delta(Yi); superposing the horizontal base measurement value Xi and a horizontal random deviation correction value delta(Xi)*Ki, and obtaining an engineering detection value Xi' in a horizontal direction; superposing the vertical base measurement value Yi and a vertical random deviation correction value delta(Yi)*Ki, and obtaining an engineering detection value Yi' in a vertical direction. The method solves a problem that the engineering detection result of a conventional laser smoothness detection device is low in precision and poor in reliability. The method is suitable for other laser alignment engineering measurement in an outdoor environment under the long-distance condition.

The invention provides a coaxiality detection apparatus, relating to an apparatus which establishes a virtual axis to substitute a reference axis needing to be measured and employs a depth gauge to detect coaxiality deviations of various apertures and depths. A cross bar is provided with a vertical stick which is taken as a virtual reference axis for measurement. A locating piece and a jacking block are connected to the cross bar through taper pins. The cross bar is provided with connection holes used by the locating piece and the jacking block to move according to a measurement dimension. The jacking block is provided with a spring and a steel ball which are used by the jacking block to carry out short distance adjustment on the cross bar. The spring is positioned through a fastening screw. The depth gauge is installed on the vertical stick through a rule base which is fixed on the vertical stick through a taper pin. According to the invention, the vertical stick is used as the virtual reference axis, the virtual axis is established to substitute the reference axis needing to be measured, there is no need to find a relative position of the reference axis in a detection process, the coaxiality deviations of various apertures and depths are measured through the depth gauge, a structure is simple, operation is convenient, a measurement result is accurate, and the apparatus is especially suitable for a coaxiality deviation detection occasion.

The invention discloses a method for detecting register deviation based on a machine vision register control system, and belongs to the technical fields of printing, packaging and other automatic control of mechanical register and positioning. In order to be able to avoid the increase of the plate-making cost caused by upgrading of the system by using the register control system based on machine vision by photoelectric color codes under the condition of not changing an existing printing plate, machine vision and image processing technologies are utilized, according to the property that the color codes have standard sizes, an image pixel is converted into a pixel equivalent, the influence caused by image distortion is also considered, the equivalent has two values of width and height, an image pixel coordinate is taken as a reference system, the center of the color code of the front color is calculated, a visual inspection line is generated, a center standard position of the color codeof the rear color is obtained according to the standard distance of the color code, the calibration work of register deviation can be carried out by comparing the center standard position and actual position of the color code of the rear color, and the visual inspection line is displayed on a display screen and can be used for manual calibration.

The invention relates to shape deviation detection and provides a pressure container shape deviation detection method based on three-dimensional laser scanning. The pressure container shape deviation detection method based on three-dimensional laser scanning includes the steps that three-dimensional laser scanning devices are distributed around a pressure container; three-dimensional laser scanning is conducted on the pressure container to obtain the quantity of point cloud data; the point cloud data is processed to obtain a three-dimensional model composed of triangular patches; an outline required by shape deviation detection is extracted from the three-dimensional model; the extracted outline is compared with a designed shape outline to evaluate a shape deviation detection result. The method can be used for accurately, quickly and comprehensively measuring shape deviation of an oval end socket in a non-contact mode. The method is high in collection point location density, high in measurement accuracy, high in measurement speed, capable of saving labor time, low in labor intensity and capable of conveniently achieving automatic measurement, and accordingly the shape deviation of the pressure container can be accurately and quickly measured.

The invention provides a tilt detecting system comprising, a surveying instrument having a distance measuring function and a line laser projecting unit installed as horizontally rotatable for projecting a vertical line laser, and a photodetection device having at least two photodetection units provided at a known interval, a target with a retro-reflectivity and an arithmetic unit, wherein the line laser projecting unit is rotated, each of the photodetection units are made to scan the line laser and the arithmetic unit detects a tilting angle of the photodetection device based on a deviation between a photodetection time moment of each photodetection unit and the distance measurement result of the target of the surveying instrument.

The invention provides a check method of photomask diagram position deviation, wherein the method comprises the following steps of: S100. preparing a test wafer; S101. preparing a standard photomask; S102. testing the diagram position deviation of all nested mark outer frames on the standard photomask; S103. placing tested mark inner frames on the product photomask, wherein the central position of each tested mark inner frame needs to be overlapped with the positions of the nested mark outer frames on the standard photomask, and the tested mark inner frames are only placed in a scribing groove or out of a prohibited area; S104. gluing the test wafer, carrying out para-position exposure by utilizing the standard photomask firstly, then carrying out para-position exposure by utilizing the product photomask, and developing after exposure twice and generating nested test diagrams; and S105, testing and nesting, and amending the nested data, thereby obtaining the diagram position deviation of the product photomask. According to the invention, the diagram position deviation of the photomask can be calculated without using a special diagram position deviation check device, and the cost is lower.

The invention provides a dual-optical-path laser marking apparatus and a making method thereof. The dual-optical-path laser marking apparatus comprises a rack assembly, a camera assembly, a lifting platform mechanism, a jig assembly, a mirror assembly and an optics and galvanometer system. The camera assembly is used for carrying out bias detection on optical paths. The jig assembly is fixed to the lifting platform mechanism. The optics and galvanometer system comprises a platform, an optical fiber nanosecond laser device and a picosecond laser device, an optical path system, a galvanometer and a field lens, wherein the optical fiber nanosecond laser device and the picosecond laser device are fixed to the platform, the optical path system is arranged in front of the optical fiber nanosecond laser device and the picosecond laser device, the galvanometer is connected with the optical path system, and the field lens is located below the galvanometer. Lasers respectively emitted by the optical fiber nanosecond laser device and the picosecond laser device pass through the optical path system, then enter the galvanometer in an incidence manner, and carry out laser processing on productsthrough the field lens. According to the dual-optical-path laser marking apparatus, the picosecond laser device is used for carrying out high-speed outline scanning on products, the nanosecond laser device is used for outline filling, the processing quality is effectively guaranteed, and the production efficiency is improved at the same time.

A control apparatus for stabilizing optical wavelength output by a laser module in which a laser element, temperature sensor and cooling/heating element are installed, comprises a temperature deviation detecting circuit comprising a temperature monitor for detecting a laser temperature, and a first comparator for outputting a first control signal indicating a difference between the laser temperature and a control target value, a wavelength deviation detecting circuit comprising a wavelength monitor for detecting light output from the laser element, and a second comparator for outputting a second control signal indicating a difference between the wavelength of the detected output light and a control target value, a selector circuit for selecting either of the detecting circuits according to the external conditions of the laser element, and a current controller for controlling the current supplied to the cooling/heating element based on the output signal from the selected detecting circuit.

The invention discloses a solar tracking angular deviation detector for detecting errors of a tracking system in the photovoltaic power generation. By using the detector, the analytical value of the solar tracking angular deviation can be obtained, thereby reasonably and effectively evaluating the solar tracking precision of the traditional solar tracking angular deviation in the market in the photovoltaic power generation. The solar tracking precision is an important index of the solar tracking system and an important basis for measuring the quality of the solar tracking system. For achieving the aim, the solar tracking angular deviation can be measured by adopting the linear array CCD (Charge Coupled Device); an optical path and a signal processing circuit are designed; and the solar tracking angular deviation value can be determined according to the difference of sunlight incident angles and the change relationship of the imaging of the edge projection of a luminous seam on the CCD, mainly including the detection for the tracking angular deviation of an elevating angle and an azimuth angle; and finally, the detection result is subjected to the data processing and analyzing and is displayed by an intelligent display terminal, or can be transmitted to other processors through serial ports for further processing.