114results about How to "Accurate exclusion" patented technology

The invention provides a vacuum assistance system detection method, a vacuum assistance system detection system, an electromobile and a failure detection method. The vacuum assistance system detection method includes the following steps: judging whether a pressure sensor fails or not; after the pressure sensor is guaranteed to be not in a failure, further diagnosing whether a vacuum pump is noneffective or not or whether a vacuum assistance system is in air leakage or not according to accurate measuring signals output by the pressure sensor. By the vacuum assistance system detection method, the vacuum assistance system can be detected accurately and comprehensively, and once the vacuum assistance system fails, failure positions can be quickly judged, so that reliability of the vacuum assistance system is effectively improved and driving safety of the electromobile is guaranteed.

The invention relates to an automatic magnetometer correction assisted AHRS (altitude and heading reference system) and method. The AHRS comprises an AHRS and an MCS (magnetometer correction system) supporting an online magnetic filed correction function, wherein the AHRS serving as a main unit comprises a master controller, an inertial sensor group, a sensor correction algorithm, an online magnetic field correction algorithm, an altitude compensation algorithm and a cascade filter; the inertial sensor group comprises a triaxial accelerometer, a three-axis gyroscope and a three-axis magnetometer and is used for providing inertial altitude data; the MCS serving as a slave unit comprises a coprocessor, a two-axis rotary table, a rotary table control system and a magnetic field modeling module. According to the AHRS and the method, the altitude calculation precision and the applicability of the portable AHRS are improved without manual correction in advance, the defects of poor adaptability to magnetic field disturbance, low robustness of altitude calculation and the like in the prior art are overcome, and the AHRS and the method have certain reference and guide significance for engineering practice in the fields of inertial navigation, altitude and heading calculation and the like.

Provided is a fault identification and protection method of an electrified railway AT traction network. When network voltage is lower than a specified value, labeling no-load trend symbol values of the near ends and the far ends of a touch net T and a negative feeder F in each self-coupling segment with 0, labeling influent trend symbol values with 1, labeling effluent trend symbol values with -1, if an absolute value of a sum of the trend symbol values of two ends of the touch net T in each self-coupling segment is larger than or equal to 1, or a failure absolute value of a sum of the trend symbol values of two ends of the negative feeder F is larger than or equal to 1, or a failure absolute value of a sum of the trend symbol values of two ends of a touch net T branch and a negative feeder F branch is larger than or equal to 1, respectively judging the touch net T to be in short circuit failure to the ground, or the negative feeder F to be in short circuit failure to the ground, or the touch net T to be in short circuit failure to the negative feeder F, and breaking off all breakers at two ends of each self-coupling segment. Short-circuit reactance calculated according to corresponding voltage and short-circuit current at two ends of each self-coupling segment and the corresponding length of the self-coupling segment determine failure positions.

The invention discloses a method for processing interphase short circuit of a three-phase non-effective grounding power supply system. The method comprises the following steps: when two-phase or three-phase interphase short circuit occurs in a line, maintaining one fault phase of the line to be conducted and tripping off other fault phases, and artificially grounding the other fault phase conducted with the fault phase or directly utilizing the existing grounding point; enabling a live-line phase or a neutral point of the three-phase non-effectively grounded power supply system except the fault phase to be circularly connected and disconnected with the ground, so that the live-line phase or the neutral point and the fault phase form a closed loop and generate a current pulse, and detecting the current pulse by a controlled switch; when a certain controlled switch reaches a trigger condition and cuts off a line, eliminating a fault. According to the method, the inter-phase short-circuit fault point interval can be quickly positioned, the fault can be automatically, quickly and accurately removed, the processing quality of the inter-phase short-circuit fault can be well improved, and the power supply safety is improved.

The invention provides an industrial equipment fault diagnosis method and system based on a knowledge graph. The method comprises the following steps: acquiring maintenance data and corresponding fault information of industrial equipment, and constructing a knowledge graph according to the maintenance data and the corresponding fault information of the industrial equipment; obtaining current operation data of the to-be-diagnosed industrial equipment, and performing similarity measurement on the current operation data through the knowledge graph to obtain a similarity degree value; and settinga similarity degree threshold value, comparing the similarity degree value with the similarity degree threshold value, and generating corresponding fault information according to a comparison result.The comprehensive and complete knowledge graph is constructed by collecting various industrial equipment maintenance data and fault information in combination with other knowledge information in the field, and then the state of the to-be-diagnosed industrial equipment is judged according to the knowledge graph, so that equipment faults can be judged in time, dangerous accidents are avoided, meanwhile, equipment faults can be traced back, and the equipment management safety is enhanced.

The invention provides a kit for detecting the copy number variation of an HER-2 gene by virtue of a digital PCR technique and a method. The kit comprises two groups of primer pairs and detection probes, a primer pair, a detection probe, a digital PCR premixed solution, luciferase, ddH2O and a calibration file, wherein the primer pairs and the detection probes are used for detecting the HER-2 gene, and the primer pair and the detection probe are used for detecting three reference genes CEP17, EIF2C1 and EFTUD2. Besides, the invention further provides a method for detecting the copy number variation of the HER-2 gene by virtue of the digital PCR technique. According to the method, phenomena of 17# chromosome multimer, aneuploid and centromere amplification can be eliminated, and the methodcan be used for accurately detecting whether the HER-2 gene is amplified to be positive or negative.

The invention relates to an information rearrangement technology. A method for rearranging information of points of interest comprises the following steps of: 1, receiving information of a point of interest A by a system; 2, inquiring names of all points of interest in a first region by taking the longitude and latitude of the point of interest A as a reference point; 3, matching and rearranging the point of interest A and other searched points of interest according to a position excursion matching method, and thus obtaining a rearrangement result and matching precision; 4, if the matching precision P1 obtained in the step 3 is greater than or equal to preset precision P', turning to the step 9, otherwise, turning to the step 5; 5, inquiring names of all points of interest in a second region range, and repeating the step 3; 6, if the matching precision P2 obtained in the step 5 is greater than or equal to the preset precision P', turning to the step 9, otherwise, turning to the step 7; 7, inquiring names of all points of interest in a third region range, and repeating the step 3; 8, if the matching precision P3 obtained in the step 3 is greater than or equal to preset precision P', turning to the step 9; and 9, outputting the rearrangement result.

The invention discloses an inter-phase short circuit fault processing method, and the method comprises the following steps: when a two-phase or three-phase inter-phase short circuit occurs in a line, maintaining one fault phase of the line to be conducted, tripping off other fault phases, and connecting another fault phase conducted with the fault phase with a public lead; enabling the three-phase non-effective grounding power supply system to be connected with the common lead, enabling a live-line phase or a neutral point of the three-phase non-effective grounding power supply system except the fault phase to be connected with the common lead so as to form a closed loop with the fault phase and generate current, detecting current duration through controlled switches, and when a certain controlled switch reaches a triggering condition and cuts off a line, eliminating the fault. According to the method, the inter-phase short-circuit fault point interval can be quickly positioned, the fault can be automatically, quickly and accurately removed, the processing quality of the inter-phase short-circuit fault can be well improved, and the power supply safety is improved.

The invention discloses an abdominal cavity CT image peritoneal metastasis marking method based on a deep convolutional neural network. The method includes the following steps: 1) performing CT imagepreprocessing; 2) dividing the preprocessed CT image by using a watershed method to extract candidate nodules; 3) constructing a corresponding neural network input for the candidate nodules; 4) constructing a deep convolutional neural network model, using the neural network input corresponding to the marked candidate nodules to train the neural network model; and 5) predicting the probability thatthe unmarked candidate nodules are tumor nodules by using the neural network model, and finally outputting all the CT images of the determined markers, wherein the negative markers indicate that no tumor metastasis has occurred, and the positive markers indicate that peritoneal metastasis has occurred. The method can complete the automatic marking of the peritoneal metastasis of a large number ofabdominal cavity CT images, provides a basis for the diagnosis and treatment of malignant tumors, is easy to understand and simple to implement, is suitable for automatic marking of massive abdominalcavity CT images, and has good expansibility, robustness and practicability. .

The invention discloses a fault detector of an excavator. The fault detector of the excavator comprises a detection wiring harness, an electric device drive module, a meter control panel and a power line. The electric device drive module is used for driving to-be-detected electric devices in an air conditioner system, an electronic throttle control system and a flameout system for simulated working state demonstration. The meter control panel comprises an electric device working state demonstration control button, an electric device working state indicator lamp and a display module, wherein the electric device working state demonstration control button is used for controlling the electric device drive module to achieve simulation demonstration of the working state of the to-be-detected electric devices; the electric device working state indicator lamp is used for displaying the working state of the to-be-detected electric devices; the display module is used for displaying related data information and/or related data information change situations of the to-be-detected electric devices in the air conditioner system, the electronic throttle control system and the flameout system under the simulated working state. The fault detector of the excavator can rapidly and accurately detect electric devices which cannot be easily detected or are large in detection difficulty in the maintenance process of the excavator and remove faults, and operation is visual, easy and convenient.

The invention discloses a face detection-based method for verifying personnel and identity document for exit and entry. The work of verifying the identity cards and traffic permits of railway station entry personnel and exit-entry personnel mainly depends on artificial operation. The inspectors connect identity document detection equipment with a computer to verify the identity documents and judge whether the actual appearances of the detected objects are the same as the photos on the identity documents or not by eyes. Due to artificial comparison, the detection work is low in efficiency and has the disadvantage of omission. According to a face detection method, the defects of the past personnel and identity document verification due to artificial operation can be overcome, the personnel and identity document verification correctness and efficiency are improved, and finally the omission degree generated under artificial operation is reduced so as to relieve the pressure of the workers. The face detection-based method for verifying personnel and identity document for exit and entry comprises a camera image transmission subsystem, an identity document detection subsystem, a face recognition subsystem and a face comparison subsystem.

The invention discloses a method for calculating urban road flow velocity based on mobile phone signaling and OD attribute. The method comprises the following steps: a) obtaining traffic cell division information, road division information, cell base station information, road base station information and mobile phone signaling position information of a whole city; b) associating correspondence relation between mobile phone signaling data and traffic cell base stations in the whole city to obtain the correspondence relation between mobile phone signaling and the traffic cells, then, calculating an OD travel sequence of each mobile phone user by utilizing stay time of the each mobile phone user in each traffic cell; c) according to the road base station correspondence relation, filtering mobile phone signaling in the corresponding road range; d) carrying out secondary filtering on the mobile phone signaling through matching of time+ mobile phone number and the OD travel sequence; and e) calculating speed of a single mobile phone user on some road by utilizing the filtered signaling and by dividing position distance change by time, and then, by taking the average value of the data of all users on the road, calculating the road flow velocity.

The invention discloses a detonation system and method for detonator networking operation. Single-shot detection is carried out on to-be-networked electronic detonators before detonation operation, the blasting authority of the single-shot electronic detonators is verified in real time, function detection and authorization self-detection are carried out, the electronic detonators without the blasting authority and with defects are eliminated, the electronic detonators with qualified authority are recorded, the detonators in networking are subjected to disconnection, misconnection, detection ofunauthorized and downloaded authorized error-free electronic detonators and electric leakage detection of a networking network, a delay scheme is issued, finally, the networked detonators are subjected to secondary authorization verification, and charging and detonation work is carried out after errors are avoided. The detonation operation safety is high, quality defects, functional obstacles, disconnection, misconnection and unauthorized electronic detonators are effectively eliminated, multi-stage verification control ignition is achieved, and the detonation system and the detonation methodare high in electronic detonator networking information input efficiency, few in error, accurate in detonation control and high in safety coefficient.

The invention relates to a forest fire early-warning system based on a non-refrigerant infrared temperature detector. The system comprises at least one non-refrigerant infrared temperature detector, a network and an alarm server, wherein the non-refrigerant infrared temperature detector and the alarm server are connected with the network through respective network communication transmission equipment respectively. By the forest fire early-warning system, the problem of difficulty in determination of alarm threshold values caused by non-determinacy of detection distances, atmosphere transmittance and atmosphere humidity is solved, and then a false alarm rate and a false negative rate are effectively reduced.

The invention discloses an automatic control system and method of a deep-sea net cage bait feeding machine. The automatic control system of the deep-sea net cage bait feeding machine comprises a monitor terminal, a data server, a programmable controller and the bait feeding machine, wherein bait feeding control software is mounted on the monitor terminal; the monitor terminal is connected to the programmable controller and sends a bait feeding control command to the programmable controller; the programmable controller is connected to the bait feeding machine, and used for controlling a bait feeding time interval and bait feeding amount according to the bait feeding control command; the bait feeding machine feeds a current working state back to the monitor terminal through the programmable controller.

The invention provides a global vision-based chess playing robot and a control method thereof, and relates to the technical field of computer vision. According to the global vision-based chess playingrobot and the control method thereof, a sucker is connected with an air pump and an actuator body correspondingly, and a tail end camera is connected with the actuator body and a computer server correspondingly; an anthropomorphic mechanical arm is connected with the computer server and the actuator body correspondingly, and the mechanical arm is located at the blank position in the middle of a chess piece taking disc; a view camera is connected with the computer server and is arranged on a camera support, and the computer server comprises a visual system, a game system, a chess piece placingsystem and a real-time display system; and the visual system is connected with the game system and the real-time display system correspondingly, the game system is connected with the chess piece placing system and the real-time display system correspondingly, and the output end of the chess piece placing system is connected with the mechanical arm. The global vision-based chess playing robot andthe control method thereof overcome the interference of moving objects, enhance the accuracy of chess piece positioning under uneven illumination, and create a scientific, convenient and fast chess playing environment for a user.

The invention discloses a heat shrink tube burning mechanism and a full-automatic ring cutting machine with the same to improve the ring cutting efficiency of a battery heat shrink sleeve. The heat shrink tube burning mechanism comprises a battery clamping component, a rotatable driving component, a lifting driving component and a laser burning and cutting component, the battery clamping component is mounted on a frame and can clamp and release a battery; the rotatable driving component is connected with the battery clamping component and drives the battery clamping component to rotate around a central axis of the battery clamped by the battery clamping component; the lifting driving component is connected with the battery clamping component and drives the battery clamping component to rise and fall; and the laser burning and cutting component is arranged near the battery clamping component and fixed relative to the frame.

The invention relates to the technical field of the network security, and specifically relates to a system capable of quickly discovering and processing network fault, and a processing method thereof.The processing method comprises the following steps: continuously monitoring and analyzing running state and traffic data of target network equipment by using a server, and establishing a traffic database after acquiring the traffic data of the target network equipment, and then performing real-time analysis and judgment on the traffic database; shielding a fault source by adopting a corresponding processing rule once discovering the network abnormality, thereby realizing the quick recovery of the network fault. Through the processing method disclosed by the invention, the network fault caused by network illegal behavior can be quickly processed, and the technical problem of low operation and maintenance efficiency is solved.

There is provided a particle number measurement method capable of accurately measuring the number of particles generated by a specific factor. When the number of particles is measured by irradiating laser beam 25 into a main exhaust line 16 via a glass window 24, receiving lights (L1 and L2) scattered from particles (P1 and P2) crossing with the laser beam 25 by a photodetector 21, and calculating the number of particles based on the received scattered light, static particles P2 are considered as contaminants attached to the glass window 24 and the number of static particles P2 is subtracted from the measured number of particles within the main exhaust line 16.

The invention relates to a method for precise registration and coincidence of a preoperative CT or nuclear magnetic image and a corresponding focus in an operation. The method is used for assisting planning and implementation of a clinical operation. The method comprises the following steps: acquiring a point cloud of a preoperative CT image or a nuclear magnetic image as a target point cloud; acquiring a point cloud of a focus area of a patient in an operation as an integral point cloud; acquiring a feature region overlapped with the target point cloud from the overall point cloud; adopting a super-4PCS algorithm to carry out registration on the target point cloud and the overall point cloud with the overlapped areas, and obtaining point cloud coordinates of the focus area of the patient in the operation, wherein the point cloud coordinates are space coordinates when the point cloud of the focus area of the patient in the operation and the point cloud of the preoperative CT image or the nuclear magnetic image are registered and coincide. According to the method, the registration precision problem of the three-dimensional model of the non-rigid organs and tissues of the patient and the focus area of the patient in the real operation environment is mainly solved, a doctor can quickly and accurately find the organ corresponding to the three-dimensional model of the patient during the operation, and the three-dimensional model is accurately matched with the organ.

The invention discloses an express box smart maintenance method based on cloud computing. According to the express box smart maintenance method, a cloud supporting platform, a cloud supporting platform operation business model formed by the cloud supporting platform, a cloud supporting platform smart maintenance method and a cloud supporting platform smart detection method are included. A cloud computing information sharing platform can provide seamless express box fault diagnosis for express box clients distributed across the country; problems can be quickly and accurately solved, and business opportunities can not be delayed due to difference of geographic positions and time.

The invention discloses a handheld multi-frequency-band impedance respiration signal measuring system and method. The system comprises four handheld electrodes, a sine excitation signal generating module, a sampling signal amplification circuit and a calculation, analysis and processing module. The four handheld electrodes are the excitation electrode N+, the measuring electrode I+, the measuring electrode I- and the receiving electrode N- respectively, the excitation electrode N+ is connected to the output end of the sine excitation signal generating module, and the receiving electrode N- is connected to the input end of the sine excitation signal generating module. The measuring electrode I+ and the measuring electrode I- are connected to the sampling signal amplification circuit. According to the measuring system and method, after the strong influence of baseline drift is effectively removed, through establishment and comparison of amplitude monitoring motion information and a standard respiration template, baseline drift and motion interference can be more accurately eliminated, and therefore respiration signals and the respiration rate are accurately measured.