68results about How to "Real-time display of test results" patented technology

The invention discloses a grid fault diagnosis method based on data mining. On the basis of the characteristics that grid measurement data quantity is large and dimensionality is high, grid fault diagnosis is achieved by means of a data mining technique. Firstly, the data correlation degree is evaluated by means of a neighborhood rough set method, reduction processing is carried out on data by means of a greedy search algorithm, then failure diagnoses are classified according to features by means of a competition coagulation clustering algorithm, and then failure diagnosis of a grid is achieved on the basis of a fuzzy association rule algorithm. According to the method, failure detection, classification and positioning of various devices and elements which break down in the grid with mass data can be carried out, ultimately, an IDEA integrated development tool and an MySQL database are used, an object-oriented program design concept is adopted, and a grid failure diagnosis system in a B/S mode is developed.

The invention discloses a high sensitive multipath SF6 on-line leak detector, comprises a gas washing chamber which has a gas outlet connected with a solenoid valve for washing gas; a gas collecting chamber which has a gas inlet connected with the solenoid valve for washing gas and a plurality of paths of samples, wherein gas path solenoid valves are arranged on the gas path between each path of samples and the gas collecting chamber; a suction pump which has a gas inlet connected with the gas outlet of the gas collecting chamber; a sensor gas chamber which has a gas inlet and a gas outlet connected respectively with solenoid valves for sensor, wherein the solenoid valve for sensor beside the gas inlet is connected with the gas outlet of the suction pump; an exhaust gas chamber which has a gas inlet connected with the solenoid valve for sensor beside the gas inlet of the sensor gas chamber; control circuits; and a sensor which is arranged inside the sensor gas chamber. The detector of the invention detects SF6 content in a real-time way and displays detection results. Multipath gas samples can be detected at the same time without switching off equipments and the paths of gas which need to be detected can be switched based on needs freely. Cleaning can be performed to the gas path of the leak detector and detection processes of different gas paths do not interfere mutually.

The invention relates to a system for detecting defects of filter paper based on a machine vision technology and a detection method thereof. The system comprises a machine frame, a machine vision device, an industrial personal computer and defect mark printers, wherein the machine vision device comprises a light source and a plurality of high-speed cameras; the industrial personal computer comprises a central microprocessor and a display of built-in embedded image processing software; the defect mark printer comprises an encoder and a plurality of defect mark printers; according to characteristics of a product to be detected, noises are eliminated through smoothing filtering by using a two-dimensional zero-mean discrete Gaussian function, and based on a roof edge subpixel positioning algorithm, the defects of the image of the product are recognized; the characteristics of materials to be detected are picked up by the high-speed cameras; and the defect mark printers are controlled by the central microprocessor. By the system and the detection method, the defects of the filter paper can be detected stably, accurately and efficiently online in real time; coordinates are automatically positioned to print defect marks; and the system can alarm automatically and display detection results in real time.

A bearing fault detection method includes six steps of collecting signals, obtaining the fault character frequency, conducting analysis, conducting filtering, extracting thresholds and distinguishing faults. The method has the advantages that the characteristic result of an envelope spectrum is extracted by comprehensively using a power spectrum and wavelet conversion, whether a line spectrum in the bearing detection process is an interference spectrum or a fault line spectrum is judged, and the bearing detection efficiency and accuracy are effectively improved. The method is simple, small in calculation amount and easy to achieve, the detection result can be displayed in a computer in real time, and the automated and intelligent bearing detection is completely achieved.

The invention relates to a multi-index rapid nondestructive synchronous detection method for fresh beef. The method is based on multi-index detection of contents of cholesterol, water, fat and protein, shear force and retention ability of the fresh beef by means of a portable near-infrared spectrograph. Compared with current national standard methods in China and other applying methods of desktop near-infrared spectrographs, the method is characterized by being simple, rapid, efficient, accurate and capable of synchronous multi-index detection. The method has no limit on sample dimension and shapes. Samples to be detected are free of any destructive pretreatment, thus achieving nondestructive detection and saving a cost. A microprocessor comprising system programs is high in degree of intellectualization. Detection and analysis are completed automatically, and a detection result is displayed in real time. Special training for operators is not needed. The method is simple and convenient to operate and can be applied for online detection.

The invention discloses a miniature measurement and control system fit for a high-field asymmetric waveform transference tube. The system comprises a man-machine interaction module, an upper computer system and a measurement and control circuit module, wherein the measurement and control circuit module comprises a plurality of sub-circuit modules; an operator sends an operation command and observes a detection result through a friendly instrument operation interface provided by the upper computer system and the man-machine interaction module; the upper computer system is connected with the sub-circuit modules in the measurement and control circuit module; and the sub-circuit modules are connected with corresponding components in the high-field asymmetric waveform transference tube to generate measuring signals necessary for detecting substance ingredients of the high-field asymmetric waveform transference tube and detect a signal output by the high-field asymmetric waveform transference tube at high precision. The miniature measurement and control system provided by the invention is fit for high-field asymmetric waveform transference tubes with different sizes and manufactured by various techniques, and the system has the advantages of low noise, high integration degree, good reliability and anti-interference capability, and quick and simple operation, and the like.

The invention relates to an intelligent detection device and method for a compressor stator guide vane setting angle. A measuring and positioning tool is composed of a tool cross beam (1), supportingbases (2), a two-dimensional sliding table (3), a high-precision rotary table (4), a depth shaft (5) and positioning pins (6), wherein the two-dimensional sliding table (3) and the high-precision rotary table (4) are sequentially installed on the lower end face of the middle of the tool cross beam (1), and the depth shaft (5) is fixed to the high-precision rotary table (4); the two supporting bases (2) are located on the two sides of the tool cross beam (1) respectively, the positioning pins (6) are arranged on the supporting bases (2), and the measuring and positioning tool is fixedly placedon a to-be-detected compressor case (15) through the positioning pins (6). Detection results can be displayed in real time, detection result data storage and export functions are provided, and the defects of manual misreading, complex data recording and the like are overcome; the detection method is high in measurement precision, high in efficiency and convenient to use.

The invention discloses flying drone engine's sleeving size and a geometrical error detection device. The programmable controller of the detection device is installed inside a base. The contact touch screen display and the support are fixedly arranged on the base. The sliding block cooperates with the guide rail arranged at the inner side of the support. The first measuring baseline block and the second measuring baseline block are installed at the lower end face of the sliding block. The inner measuring baseline column and the positioning ring are mounted on the base in a cooperative manner, and are arranged under the first measuring baseline block and the second measuring baseline block. The air cylinder is fixedly arranged at the upper end part of the support; the programmable controller controls the air cylinder piston to move and drives the sliding block to move upwards and downwards along the guide rail of the support. The inner measuring baseline column, and the first measuring baseline block as well as the second measuring baseline block are provided with a plurality of electric induction sensor probes. The electric induction sensor probes acquire and transmit the data to the programmable controller where the data are processed. The detection result is displayed through the contact touch screen display. The detection device can detect the diameters of the inner circle and the outer circle, the cylindricity and the coaxiality of the sleeving ring at one time while the sleeving ring is clamped. Therefore, the detection efficiency and quality are increased.

The invention discloses a method for automatically detecting center distance of battery tabs. The detection system comprises an image processing unit, a motion control unit, a real-time monitoring unit and an upper computer, wherein the image processing unit performs software processing analysis on the acquired image to detect the size of the center distance of the tabs, namely the process comprises the steps: finding reference lines I1 and I2, a bottom reference line I8, and segments I4, I5, I6 and I7 through an image recognition method; fitting a central line I3 through the lines I1 and I2, respectively determining the vertexes R1 and R2 of positive and negative tabs through the intersection of the lines I4 and I5 and the intersection of the lines I6 and I7, and respectively determining base points R3 and R4 of the positive and negative tabs through the intersection of the lines I4 and I8 and the intersection of the lines I6 and I8; and respectively calculating the distances W1-W4 from the points R1-R4 to the central line I3, wherein the value is the center distance of the tabs. According to the method, the size of the center distance of the battery tabs can be rapidly, accurately and automatically detected.

The present invention discloses a steel rail appearance geometric dimension and surface defect detection device and belongs to the railway management technical field. The steel rail appearance geometric dimension and surface defect detection device comprises a measuring device, a cabinet and a console; the measuring device comprises a rigid support, a measuring cross beam, laser sets and steel rail four-directional locators; the laser set A, the laser set B and the laser set C are arranged on the rigid support along the entering direction of a steel rail; the steel rail four-directional locator I is arranged at the right side of the laser set A; the steel rail four-directional locator II is arranged between the laser set A and the laser set B; the steel rail four-directional locator III is arranged between the laser set B and the laser set C; the steel rail four-directional locator IV is arranged at the left side of the laser set C; the cabinet is connected with the measuring device; and the console is connected with the cabinet. According to the steel rail appearance geometric dimension and surface defect detection technology, the three sets of lasers, namely, eight two-dimensional laser sensors, are adopted to collect the contour data of the steel rail.

The invention discloses an automatic detection method of battery positive pole and negative pole tab-film heights. A detection system comprises an image processing unit, a motion control unit, a real-time monitoring unit and a host computer. The image processing unit is used for carrying out software processing analysis on collected images and detecting tab-film sizes: a bottom datum line I8 and line segments I9, I10, I11, I12, I13 and I14 are found through an image recognition method. Negative pole tab-film peaks R5 and R6 are determined through intersection points between the line segment I9 and the line segments I10 and I11, positive pole tab-film peaks R7 and R8 are determined through intersection points of the line segment I12 and the line segments I13 and I14, the distances d1, d2, d3 and d4 from the R5, R6, R7 and R8 to the bottom datum line I8 are computed respectively, and the distance values are the pole tab-film heights. The method can achieve quick, accurate and automatic detection of the pole tab-film heights.

The invention relates to a tightness self-regulating rotating mechanism of a bearing performance precision detection instrument, which comprises a direct current brushless motor 19-1 and a tensioning air spring. The tightness self-regulating rotating mechanism is characterized in that the direct current brushless motor 19-1 and a driving wheel 19-2 are fixed together, the driving wheel 19-2 is movably arranged on a driving wheel shaft 20, the driving wheel shaft 20 is fixedly arranged on a left clamp plate 18 and a right clamp plate 21, the middle sections of the left clamp plate 18 and the right clamp plate 21 are respectively and fixedly provided with a centering shaft 17, two swinging arms 15 are movably arranged on each centering shaft 17 by a fourth bearing 31, a support shaft 16 is movably arranged in the middle of the swinging arms 15 by a third bearing 30, the middle of the support shaft 16 is movably provided with a support rod 26, the support rod 26 is connected with one end of the tensioning air spring 9, the other end of the tensioning air spring 9 is fixed on a fixed air cylinder seat 6, and the fixed air cylinder seat 6 is movably arranged on a fixed air cylinder shaft through a fixed air cylinder sleeve 8. The tightness self-regulating rotating mechanism realizes high-precision detection on the axial play, the assembly height and the end surface jumping of bearings, realizes the rotating kinetic energy required by the detection and can simulate real operation to achieve the full automation of the detection process.

The invention discloses a test device and a test method for a robot ball-and-socket joint friction pair, aiming at the problem that the existing wear testing machine is difficult to simulate the actual wear condition of the robot ball-and-socket joint friction pair. The test device comprises a first rotating shaft, a second rotating shaft, a loading shaft, a joint socket fixture and a joint head fixture, wherein the second rotating shaft and the loading shaft are coaxial, and the first rotating shaft is perpendicular to the loading shaft. Through adopting fixing modes of different combinationsof the joint socket fixture and the joint head fixture on the first rotating shaft, the second rotating shaft and the loading shaft, the ball-and-socket joint rotation and swing tests are completed in the same set of devices, the dynamic measurement of wear amount is realized without damaging a paring relationship by means of a sensitive galvanometer, and the test result is high in precision.

The invention discloses a detection system for the output of a gas sensor array based on a single chip microcomputer. The detection system comprises the analog circuit part and the digital circuit part; wherein the analog circuit part comprises a power supply module, a standard resistor division module, a signal filtering module, a single-ended to differential module, and an analog-to-digital conversion module; the digital circuit part comprises a single-chip microcomputer, a communication module, and a display module. The invention further discloses a detection method for the output of the gas sensor array based on the single chip microcomputer. According to the detection system and the detection method for the output of the gas sensor array based on the single chip microcomputer, the output of the sensor array can be detected online; the detection resolution is improved; and the detection result is displayed in real-time.

The invention discloses a fault detection platform of an FC node machine with a standard serial host interface, and the platform comprises a detection platform motherboard and a detection platform structural member; the detection platform motherboard is arranged above the detection platform structural member, the detection platform motherboard is fixed by the detection platform structural member,and the detection platform motherboard is cooled; the detection platform motherboard comprises an external interface unit, a standard host interface unit, an FC interface unit, an FPGA with a built-inprocessor, and a processor circuit. The fault detection platform is used for testing various FC electrical interface node machines and optical interface node machines supporting PCIe host interfacesor SRIO host interfaces in two test modes, and the two test modes include an FC node machine opposite transmission test mode and an FC node machine surrounding test mode. The problems that an FC nodemachine of an existing standard serial host interface is complex in fault detection environment building, low in expandability and universality and the like are solved.