997results about How to "Realize automated detection" patented technology

The invention discloses a routing inspection robot vision system and a state detection method of a transformer substation. The routing inspection robot vision system comprises a motion control module, wherein a holder control module is arranged on the motion control module and connected with an image acquisition module through a vision servo module, the image acquisition module is connected with an image intelligent analyzing system through an image transmission module, the image intelligent analyzing system comprises a device classifying module, a disconnecting link state recognition module, a high-voltage breaker recognition module, an instrument reading module and an appearance abnormal recognition module, and modules of the image intelligent analyzing system are connected with a comprehensive analyzing module which is connected with a transformer substation information control system interface module. The routing inspection robot vision system and the state detection method of the transformer substation can automatically analyze the current device states including all detection contents of the daily patrol working of the transformer substation, achieve conversion from a cycle patrol mode to the patrol mode based on the states, complete automatic recognition and recording of the device states of the transformer substation and greatly reduce engagement of working staff.

The invention provides a power transmission line intelligent inspection system based on LiDAR and further provides a power transmission line intelligent inspection method based on LiDAR. The power transmission line intelligent inspection system comprises a three-dimensional quantifying information acquiring unit, a three-dimensional rebuilding unit and an intelligent inspection analysis unit. The three-dimensional quantifying information acquiring unit is suitable for acquiring power transmission equipment actual space three-dimensional quantifying information and power transmission line peripheral environment ground feature three-dimensional quantifying information, namely, point cloud data provided by LiDAR; the three-dimensional rebuilding unit is suitable for three-dimensional rebuilding of a power transmission line body and a corridor based on power transmission equipment actual space three-dimensional quantifying distribution information and power transmission line peripheral environment ground feature actual three-dimensional quantifying information; the intelligent inspection analysis unit is suitable for carrying out safety distance detection based on three-dimensional rebuilding results, carrying out safety distance analysis according to safety distance detection results and power transmission line safety standards and pointing out power transmission lines not catering to the safety standards or giving an alarm about the power transmission lines not catering to the safety standards. By means of the power transmission line intelligent inspection system and the power transmission line intelligent inspection method, requirements for line inspection data and function digitalization, standardization and visualization are achieved.

The invention discloses a device used for quick online nondestructive detection on cracks of poultry eggs on the basis of acoustic characteristic and a method thereof; the poultry egg is arranged on a supporting idler wheel; a stepping motor is connected with the supporting idler wheel and drives the supporting idler wheel; a microphone which is arranged beside the poultry egg is sequentially connected with a computer by a signal amplifier, a filter and an A/D converter; when the poultry egg rolls on a chain, different parts of the poultry egg are mechanically knocked at multi-point by a knocking rod; sound signals collected by the microphone are amplified by the signal amplifier, filtrated by the filter and converted by the A/D converter and subsequently input to the computer, thus comprehensively judging the cracking situation of the poultry eggs. The device and the method can adapt to poultry eggs with different types and different sizes, realize the classification and automatic detection of the poultry eggs during the production processing and circulation process, and can be popularized and applied to the nondestructive detection on the hardness and the maturity of agricultural products such as fruits, vegetables, and the like.

The application provides a network threat detection method and device, and network management equipment. The method comprises the following steps: receiving target log information reported by networksecurity equipment; determining a target classification feature corresponding to the target log information; determining a target attack stage corresponding to the target classification feature in a mapping relation about each classification feature and each attack state in a preset target kill chain model; and determining a fact that a network node is under network threat when judging that the network node meets the preset threat condition based on the currently determined each target attack stage after determining out at least two target attack stages, wherein the preset threat condition isas follows: generating the stage combination in forward sequence in the target kill chain model according to time order on a time shaft, and the stage combination comprises at least two attack stages.Through the scheme provided by the application, the problem of low detection efficiency in the prior art can be solved.

The invention discloses an intelligent comprehensive performance detection system for a vehicle. The system is composed of vehicle comprehensive performance detection equipment, test equipment of the vehicle comprehensive performance detection equipment and a vehicle comprehensive performance measurement and control system. The vehicle comprehensive performance measurement and control system is connected with the vehicle comprehensive performance detection equipment, the test equipment of the vehicle comprehensive performance detection equipment is connected with the vehicle comprehensive performance detection equipment and the vehicle comprehensive performance measurement and control system respectively to be used for checking and calibrating the vehicle comprehensive performance detection equipment and the vehicle comprehensive performance measurement and control system, and the vehicle comprehensive performance detection equipment is composed of a vehicle comprehensive performance fixed detection device and a vehicle comprehensive performance vehicle-mounted detection device. The intelligent comprehensive performance detection system has the advantages that automatic detection of performances of vehicle power economy, safety, operation stability, wheel positioning, exhaust emission and the like are achieved.

The invention discloses a method and device for compliance detection of a Java source code. The method comprises the steps that a coding standard library of the Java source code is established, a compliance detection standard set is generated according to coding standards in the coding standard library, a compliance detection model of the Java source code to be detected is established, the compliance detection model comprises a class set C, a method set M, a variable set V and an instruction set I, each standard in the compliance detection standard set is matched with the class set C, the method set M, the variable set V and the instruction set I in the compliance detection model, if the standards are matched with the sets, match result information is recorded, and detection result information is output according to the recorded match result information. According to the technical scheme, automatic detection of the compliance of the Java source code can be achieved, a source code segment incapable of meeting the coding standards is rapidly detected, the software development and test efficiency is effectively improved, and the coding quality and the safety of application software are guaranteed from the level of the source code.

The invention provides a workpiece flatness detection method comprising the steps that a workpiece is clamped on a flatness detection device; a detection probe is controlled to detect distance from each scan detection point on the surface of the workpiece to the detection probe in turn, and whether the distance is within a preset distance range is determined, wherein the detection probe is arranged on the flatness detection device; and when the distance from each scan detection point to the detection probe is within the preset distance range, workpiece flatness is qualified through judgment. The invention also provides the workpiece flatness detection device. According to the workpiece flatness detection method and device, automatic detection of workpiece flatness can be realized so that detection precision and detection efficiency can be enhanced and production cost can be reduced.

The invention provides an intelligent contract vulnerability detection method and device, and belongs to the technical field of intelligent contracts. The method comprises: one or more of static analysis, dynamic analysis and SVM-based dynamic and static hybrid analysis are executed on the smart contract; and determining a final detection result of the intelligent contract vulnerability accordingto one or more analysis results of static analysis, dynamic analysis and/or SVM-based dynamic and static hybrid analysis. According to the intelligent contract vulnerability detection method and device, the intelligent contract codes are analyzed through the analysis engine composed of static analysis, dynamic analysis and the SVM-based dynamic and static hybrid analysis technology, vulnerabilitycharacteristics are extracted according to the analysis result, intelligent contract vulnerabilities are completely and automatically detected, detection is convenient, the speed is high, and the accuracy rate is high.

The invention discloses an impulse type grain mass flow sensor calibrating and testing device, which relates to the field of grain mass flow sensor calibrating and test machines. The impulse type grain mass flow sensor calibrating and testing device comprises a machine frame (1), a net rice elevator (3), a hopper A (2), a hopper B (19), a rotating speed sensor (4), a vibration sensor (7), a tilt angle sensor (9), a hopper scale (18), a grain flow sensor mounting position adjusting device, a grain mass sensor mounting position adjusting device, three vibration motors, a three-phase asynchronous motor (26), four frequency converters, a high-speed camera acquisition system (6), a monitoring storage system and four wheels. The impulse type grain mass flow sensor calibrating and testing device is simple in mounting and is convenient to detach and move. After an impulse type grain flow sensor is calibrated on the testing device, the impulse type grain flow sensor can be directly arranged on a combine harvester to operate.

The invention discloses a method and a device for detecting screen scratches. The method comprises the following steps of processing an image of a screen so as to obtain the defect points of the screen, wherein the image of the screen is obtained through photographing a light-emitting screen by means of a grayscale camera; determining a first slope of a straight line formed by any two defect points, and an image area comprising the straight line formed by every two defect points; in the image area, acquiring a pixel point in each row or in each column and largest in gray value; carrying out fitting treatment on the pixel point largest in gray value in each row or each column so as to obtain a fitted straight line, and determining a second slope of the fitted straight line; if the difference value between the second slope and the first slope is within a preset slope difference value threshold range, determining that a scratch defect exists in the image area. According to one embodimentof the invention, the automatic detection of screen scratches is realized.

The invention discloses a piece of cab integrated radio communication equipment comprising a CAN interface conversion unit 1, a GSM-R voice unit connected with the CAN interface conversion unit 1, a main control unit, a satellite positioning unit, a spare control unit, a CAN interface conversion unit 2, a GSM-R data unit connected with the CAN interface conversion unit 2, a 400MHz/450MHz communication unit, an LBJ communication unit, a record unit, a wireless broadband unit, a power supply unit, a power bus, a CAN bus 1, and a CAN bus 2. The main control unit is connected with the CAN interface conversion unit 1, the satellite positioning unit, the spare control unit, an exchange interface unit, the CAN interface conversion unit 2, the 400MHz/450MHz communication unit, the LBJ communication unit and the record unit through the CAN bus 1 and the CAN bus 2, and is connected with the spare control unit, the exchange interface unit, the record unit and the wireless broadband unit through an LAN cable. The exchange interface unit is connected with a plurality of MMI terminals. The equipment has the advantages of high reliability, high security and high flexibility, can achieve a function of remote software and database upgrading, and can meet the requirement of a 400MHz band.

The invention provides an anomaly detection method, electronic equipment and a storage medium. The method comprises the following steps: receiving an exception detection instruction; obtaining a sample to be detected, determining whether the to-be-detected sample has periodicity; when the to-be-detected sample has periodicity, detecting the to-be-detected sample; determining a point in time to bedetected, all data are not detected; detection efficiency is improved, determining an acquisition value corresponding to the to-be-detected time point from the to-be-detected sample, calling a pre-trained anomaly detection model; obtaining an expected value corresponding to the acquisition value from the anomaly detection model, calculating a residual value between the acquisition value and the expected value; and determining whether the to-be-detected sample is abnormal based on the anomaly detection model and the residual value, intelligent operation and maintenance are achieved, and due tothe fact that the anomaly detection model is a multi-model established based on S-H-ESD, anomaly detection has the characteristic of high precision, and then automatic detection of various anomalies is achieved.

The invention discloses a fully-automatic appearance inspection machine, which comprises a rack, a rotating disc, a rotating disc power device, a feeding mechanism and a discharging mechanism. The rotating disc is connected with a main gear and mounted on the rotating disc power device, and a plurality of transparent supporting plates are annularly arrayed on the rotating disc; large gears are arranged below the transparent supporting plates, and the large gears are engaged with the main gear through transition gears; a feeding station, a plurality of side wall inspection stations, an end faceinspection station and a discharging station are distributed on the rack, and the side wall inspection stations are provided with first inspection cameras, first optical lenses, upper light sources and lower light sources; the first optical lenses are aligned with the side walls of products, and the end face inspection station is provided with a second inspection camera, a second optical lens anda coaxial light source which are coaxially distributed; the feeding mechanism and the discharging mechanism are mounted on the feeding station and the discharging station correspondingly; and when the rotating disc is rotated by a circle, the transparent supporting plates on the side wall inspection stations drive the products to complete 360-degree self-rotation. All angles of the products can be quickly and accurately inspected, the working efficiency is improved, and the quality of the products is guaranteed.

The invention discloses a liquid detection device. A reagent card management and transmission mechanism (U) is used for orderly outputting and transporting reagent cards; a buffer liquid cup management and transmission mechanism (V) is used for orderly outputting and transporting buffer liquid cups to a rotary vibration plate (W); a mechanical arm (X) is used for carrying out pipetting, liquid extracting and liquid adding operations; an incubation bin (Y) mainly comprises a temperature control module for providing an appropriate incubation temperature for a charged reagent card, thereby making preparation for accurate detection of an optical detection zone (Z) in the next step; and the optical detection zone (Z) comprises an excitation light source module, a photoelectric conversion module, a control analysis module and a software system. Compared with the prior art, the liquid detection device disclosed by the invention is used for automatically detecting a to-be-detected liquid sample, the detection process is mechanically and automatically finished, and the operation in each step is realized without manpower, so that the efficiency is improved, the fussy manual operation is omitted, the automatic detection is realized, and the detection time is shortened.

The embodiments of the invention propose an indicating light state identification method, comprising: acquiring an image containing the indicating light; determining the colors of the indicating light in the image and the magnitude of the pixels of the indicating light; in a preset template of color base, matching the colors of the indicating light; and according to the matching result and the magnitude of the pixels of the indicating light, identifying the state of the indicating light. According to the embodiments of the invention, it is possible to acquire an image containing the indicating light through an image acquisition device and to determine the colors of the indicating light and the magnitude of the pixels of the indicating light through a processing system. In the template of color base, the colors of the indicating light are matched and processed. Based on the matching result and the magnitude of the pixels of the indicating light, the state of the indicating light can be identified; therefore, the automatic detection of the indicating light state can be realized so that the fault and the abnormal condition of the device can be spotted instantly. When a fault is spotted in the indicating light, repairmen are notified to deal with the fault, therefore, saving the human resource cost.

The present invention relates to a vehicle railway tunnel vault geological radar continuous detection system. The system comprises an engineering vehicle, a workbench, a hydraulic elevating platform, a tunnel section laser detection mechanism, a vault brace rod mechanism and a vault radar antenna detection mechanism. A brace rod main body in the vault brace rod mechanism has two brace rod arms, the two brace rod arms are connected through a brace rod arm regulation pin shaft, and the hydraulic elevating platform and a brace rod driving motor are employed to drive the two brace rod arms to realize two-degree-of-freedom elevating and rotation to allow a radar antenna in the vault radar antenna detection mechanism at the top end of the brace rod main body to be extended into all the gaps between the inner wall of the tunnel vault and a contact net and scan each area of the vault required being detected to allow the detection blank area of the tunnel vault to be reduced to nearly zero. The system performs cooperation motion among mechanisms when detection, the radar antenna can avoid obstacles such as the contact net and the like, the frequent and rapid elevation of the vault brace rod mechanism and the like is reduced, the control is simple, the reliability is high, the continuous detection is realized, and the detection efficiency and the quality are improved.

The invention relates to a tape measure scale on-line automatic detecting system based on image processing and a method thereof; the system forms a main framework by a CCD video camera, two light source devices (including a direct annular epi-illuminating light source and a side LED light source), a computer equipped with an image capture card, an operating platform provided with a neck and a shielding device, and an alarm bell. The method acquires production line moving tape measure surface images by using the CCD video camera, judges whether the scale, marks and figures on the surface of the tape measure are completely accurate by the computer processing, and further monitors by using the alarm bell. The utility system can automatically check the printing quality of the surface of the tape measure in real time, and has high detecting precision and good accuracy.

The embodiment of the invention discloses a switch cabinet partial discharge detection system based on a rail robot. The switch cabinet partial discharge detection system comprises a partial discharge platform, a partial discharge sensor, a guide mechanism, a telescoping electric drive pusher, a plurality of position tags, a position tag reading device, a first control board card, a second control board card and a pressure sensor. Through the switch cabinet detection system, it is achieved that a switch cabinet is automatically detected, the labor intensity is reduced, and the detection efficiency is improved. According to the partial discharge detection system, it can be ensured that the partial discharge sensor is tightly combined with a switch cabinet body in the cooperation of the pressure sensor and the guide mechanism, and the conditions that the cabinet body is likely to be crashed out and the like can be avoided. Moreover, according to the scheme, the switch cabinet does not need to be improved, and partial discharge detection can be conducted on the switch cabinet in the state of uninterrupted power supply; in the scheme, the rail robot does not need to be greatly improved, and the transportability is high. The embodiment of the invention further provides a partial discharge detection method.