285 results about "Abnormal positions" patented technology

A body weight threshold determination unit determines that the body weight of a user on a bed is at a body weight threshold or higher, and a center-of-gravity position area determination unit determines that the center-of-gravity position thereof has moved to an abnormal position (monitored area). In such a case, the bed user is detected to be in an abnormal position when a body weight center-of-gravity position monitoring unit detects that such a state has continued for a prescribed length of time or longer. When a back-raising operation has been carried out, a movable bedboard determination unit inputs the movable bedboard information, and a monitored area adjustment unit adjusts the monitored area. The monitored area is thereby constantly set to a suitable area in accordance with the state of the movable bedboard. In this manner, the combined information of the body weight information and center-of-gravity position information of the user is determined, whereby the movement of the user can be more accurately monitored with fewer misdetections, high detection accuracy, and high reliability in an electric bed having a movable bedboard.

The invention provides a control system and control equipment of vehicle driving safety. The control equipment comprises a power management module, a wireless receiving and transmitting unit, a vehicle information collection module, an information storage unit and a central processing module, wherein the central processing module is connected with the wireless receiving and transmitting unit, the vehicle information collection module and the information storage unit. Compared with the prior art, the control system and control equipment of vehicle driving safety achieve sharing of running information of a vehicle, and not only can transmit the running information of the vehicle to other vehicles around the vehicle, but also can receive running information of other vehicles around the vehicle, learn changes of the running information of the vehicle and other vehicles (such as emergency braking or abnormal position changes of the vehicles) and provide corresponding prompt information, so that the control system and the control equipment can accurately judge driving road conditions according to the prompt information to take the judged driving road conditions as an important basis for driving of the vehicle, ensure driving safety, reduce automobile rear-end collision accidents, reduce casualties and avoid property losses.

The invention discloses a human-machine interaction interface traverse test method, which is applied to a mobile terminal, and the human-machine interaction interface traverse test method comprises the following steps of a, setting a traverse test mode and traverse test strength, classifying the traverse mode according to a control type, and classifying the traverse strength according to an interface element route; b, embedding a control type and interface element route recognition module into the mobile terminal; c, opening one application, automatically scanning and recognizing control information and interface element routes of all interfaces of the application to generate a list, and selecting the traverse test mode and strength to carry out the traverse test; d, judging whether abnormality exits in the test process, and storing the abnormality information as a test text if abnormality exists; and e, judging whether the traverse test is completed or not, continuing the traverse test if the traverse test is not completed, and otherwise ending the test and saving a test result. Due to the adoption of the method, all interfaces in the application can be rapidly and accurately traversed, an abnormal position is automatically recorded, an abnormal log can be recorded, and users can conveniently take corresponding measures in time.

The invention discloses a fresh water scale pond ecological breeding system. The system comprises five parts, namely a breeding pond, a pond water normal-position distributed treatment part, a pond discharge water abnormal-position centralized treatment part, a backwater function recovery treatment part and a pond water quality compensation treatment part. Breeding water aquatic ecology, pond breading and an aquaculture engineering technology are integrated organically; and pond microcirculation is formed through absorption, decomposition and nitrification functions of microorganisms, algae and the aquatic plants, particularly continuous removal of aquatic plants with growth and intermittent water supply, so that the utilization rate of pond eutrophic substances is improved, and breeding backwater is restored. The system has the remarkable effects of water saving and emission reduction and provides the high-efficiency pond ecological breeding system which is novel in process and is high in operability and economic and practical and has a unique structure for fishery industrialization and scale production.

The invention discloses a self-learning abnormal position tracing point filtering method. The obtained current position information of an intelligent positioning terminal is compared with historical position information in a database, under the condition that the historical position information uploaded at the time, close to the time of the current position information, is recorded in the database, the following steps are carried out, namely, calculating a distance between two adjacent points, so that noise points with larger deviation are filtered out; under the condition that the location mode is not a GPS (Global Position System), obtaining corresponding longitude and latitude data through a base station ID; under the condition that speed information does not exist in the uploaded position information, filtering through distance and time interval between two adjacent positions. The self-learning abnormal position tracing point filtering method provided by the invention can quickly and effectively filter out an abnormal position offset point, so that a better user experience is realized.

The invention discloses an artificial source frequency domain electromagnetic sounding device and a measurement method; the device provided by the invention comprises an emitting system and a receiving system; the emitting system can be used for realizing frequency conversion emission according to a measurement demand, the receiving system is a master-slave distributed acquiring system composed of a master station and a plurality of acquiring stations to measure the whole measurement line simultaneously. The measurement method comprises the following steps: roughly measuring the measurement when performing the artificial source frequency domain electromagnetic sounding, processing and imaging a measurement result at field to find a frequency range corresponding to an abnormal object, encrypting a frequency point and performing the detailed survey aiming at an abnormal position, gradually detailing the frequency point distribution until meeting a resolution requirement to the abnormal object; a different-density frequency point distribution measurement method is adopted in the whole measuring frequency band, the frequency point is encrypted only aiming at a target, the resolution capability to the target is improved and the work efficiency is improved. The measurement method not only can be applied to a controllable source audio magnetotelluric method and a frequency electromagnetic sounding method, but also can be spread to a frequency spectrum induced polarization and a complex resistivity method.

The invention provides a city underground comprehensive pipeline monitoring early warning system and relates to the technical field of pipeline monitoring early warning. The system comprises a pipeline data monitoring module, a communication module, a data processing center, an alarm module, an emergency linkage module and a mobile terminal. The pipeline data monitoring module is used for collecting pipeline internal data. The data processing center is used for carrying out data fusion according to data collected by the pipeline data monitoring module to analyze a pipeline abnormal position, sending a corresponding control signal, and sending abnormal information to the mobile terminal and the emergency linkage module. The alarm module is used for emitting an alarm signal. The mobile terminal receives alarm abnormal information. The pipeline data monitoring module is connected to the data processing center through the communication module. The data processing center is connected to the alarm module and the mobile terminal. When pipeline data abnormality is monitored, a pipeline abnormal position can be judged, the data processing center controls the alarm module to emit an alarm signal to attract the attention of the staff, and at the same time, the staff knows the situation through the mobile terminal.

The invention discloses a scientific deep drilling site selection method of a volcanic type uranium ore field. The method includes following steps: S01: recognizing an area uranium mineralization background, and screening an area with good uranium mineralization background as a primary selection area via the recognition of the area uranium mineralization background; S02: recognizing whether the overall structure of each volcanic basin in the primary selection area is good for mineralization, and recognizing at least one volcanic basin whose overall structure is good for mineralization in the primary selection area as a secondary selection area; S03: selecting abnormal positions in the secondary selection area by employing geophysical and geochemical methods; and S04: determining the deep drilling site according to the abnormal positions. According to the selection method, the range is gradually reduced from large to small, the deep drilling site is determined, the process is clear, the implementation is convenient, and the deep drilling construction of the deep drilling site determined by the method can strongly guarantee smooth operation of uranium ore exploration and research work.

The invention discloses a health wrist strap device which comprises a wrist strap main body and a data terminal used for processing and displaying data. The wrist strap main body comprises a central processing unit, a blood pressure detection module, an ambulatory blood pressure detection module, a cardiotachometer module, a pedometer module, a global position system (GPS) module, a storage unit and a communication unit. The health wrist strap device can detect a plurality of health data such as blood pressure, temperature and the heart rate of human bodies simultaneously, and can obtain health data of the detected human bodies in real-time detection and offline detection modes. A health monitoring method can be used for analyzing and assessing the plurality of health data so that people can visually obtain the health states of the detected human bodies. Especially when the health data of the detected human bodies are abnormal, the abnormal position can be located, prompts or alarms can be given through the data terminal, and therefore timely response measures taking is facilitated.

A rotary table positioning device, a load transmission system and a plasma processing device. The rotary table positioning device comprises a rotary table (50), an in-position detection unit and an original-point detection unit. The in-position detection unit comprises a first identification module and a first detection module. The first identification module is used for identifying the position of a work station on the rotary table, and the first detection module is used for judging whether the work station reaches a pre-set position by detecting the first identification module. The original-point detection unit comprises a second identification module and a second detection module. The second identification module is used for identifying an original-point position, and the second detection module is used for judging whether the work station reaches the original-point position by detecting the second detection module. The provided rotary table positioning device, load transmission system and plasma processing device can learn whether an abnormal position appears in the work station of a rotary table, which can not only guarantee a normal working process, but can also avoid the occurrence of mechanical failures, so that the security and stability of plasma processing can be improved.

The invention discloses a method and device for analyzing operation anomaly of a client application, and belongs to the technical field of Internet broadcast live. The method comprises the following steps: acquiring log data generated based on multiple dotting events when a client runs the application; if the anomaly occurs when the client runs the application, then acquiring client information of the client and network connection information of the client; and simulating the application running process to locate an abnormal position according to the client information, the network connection and the log data. The embodiment of the invention can locate a fault position of the client and analyze the cause of the fault, so as to solve the problem subsequently specifically.

Insulator defect identification and positioning device and method based on capsule network, Deep learning model is established. Target detection based on capsule network structure is adopted. Parameters of convolution layer, capsule layer and decision layer of capsule network are initially configured. Existence and posture of insulators are detected by training set and patrol image training, and parameters of decision layer are predicted. The original machine patrols the image to be discriminated, outputs the specific position of the insulator through the capsule network, segments the image and extracts the image for standby, and calls the insulator feature extraction module to the segmented image. The extracted insulator characteristic string is divided into upper and lower parts, and theinsulator characteristic map obtained after the threshold value division is scanned line by line, the pixel points of each line are counted, the maximum connecting area where the insulator is locatedis determined, the main axis direction of the insulator is calculated, the insulator is rotated to the horizontal direction, and the abnormal position of the insulator is obtained. The invention greatly improves the efficiency of insulator defect identification, and provides reliable technical support for the power network maintenance department.

A device for repairing underground water ammonia nitrogen pollution in a normal position and abnormal position combined mode mainly comprises a pumping well and a water injection well, wherein a water suction pump is installed in a well pipe of the pumping well, and a boosting pump is installed in a well pipe of the water injection well; well sieves are installed on the parts of the well pipes of the pumping well and the water injection well under the water level; a water conveying pipeline is connected between the water suction pump and the boosting pump; and the well pipes of the pumping well and the water injection well are respectively installed in respective protecting walls with pores of the pumping well and the water injection well, and filling materials are filled between the well pipes and the protecting walls to form a permeable reaction wall. The invention further discloses a method for repairing underground water ammonia nitrogen pollution by utilizing the device.

The embodiment of the invention provides a security monitoring method and device. The security monitoring method comprises the steps of sending an inspection instruction to each mobile monitoring terminal, thereby enabling each mobile monitoring terminal to carry out inspection according to a preset inspection route, and displaying inspection images of each mobile monitoring terminal; receiving inspection data sent by each mobile monitoring terminal, analyzing whether abnormal information exists in the inspection data or not, and calling abnormal analysis data corresponding to the abnormal information if the abnormal information exists in the inspection data; and determining position information of the abnormal position in a to-be-inspected area, marking the abnormal analysis data in an environment view according to the position information, and displaying the abnormal analysis data, thereby prompting a worker. According to the embodiment of the invention, the comprehensiveness and intelligence in a monitoring process can be effectively improved.

The invention relates to an electric field restraining method coal safety type fully-mechanized excavating onboard geological structure detection system and a method thereof. The fully-mechanized excavating onboard geological structure detection system is used for detecting the hidden geological structure in front of a tunneling surface under a coal mine and is composed of a coal road fully-mechanized excavating ahead detector, an emission electrode, a restraining electrode and a grounding electrode. Double-frequency modulating wave current is emitted to an area to be detected through the emission electrode and the restraining electrode so as to generate induced polarization effect in coal rock. Polarization information is collected and processed by a receiving part of the detector, apparent resistivity and visual width frequency, namely power feeding equipment (PFE) values, can be automatically calculated and converted into coordinate graphs for display, accordingly, the ahead tunneling geological structure can be judged, and the abnormal positions can be determined by angle scanning and depth scanning. Detection data can be automatically stored and be further analyzed through special data interpretation software, the ahead tunneling geological structure can be obtained, and advanced detection of the fully-mechanized excavating surface of a coal road can be finished. The electric field restraining method coal safety type fully-mechanized excavating onboard geological structure detection system and the method thereof are in accordance with coal safety verification standards, can be in cooperative work with a heading machine and is fast in detection, high in accuracy, good in instantaneity and convenient to operate.

The invention belongs to the technical field of geophysical exploration and discloses an ultrasonic quick scanning exploration method and a system for the same. The method comprises the following steps of: firstly, performing ultrasonic data transmission and reception by utilizing a roller scanning probe (1), and completion automatic recording of different measurement point distances according to a rolling condition; secondly, setting corresponding acquiring technical parameters by an ultrasonic data acquisition controlling and processing system (3) through a data acquisition system, and completing a synchronous acquisition task on data by an ultrasonic data acquisition device (2), thereby obtaining ultrasonic quick continuous scanning data of a measuring line point; and finally, calculating and processing the ultrasonic quick scanning data by the ultrasonic data acquisition controlling and processing system (3), explaining a detection medium according to a test profile result, and determining the abnormal position of the medium in the profile and characteristics thereof. The invention also discloses a system for the ultrasonic quick scanning exploration method. The method improves the field working efficiency of ultrasonic data acquisition.

The invention discloses a gate driver detection circuit and a display device. The gate driver detection circuit comprises a signal deriving module arranged one by one in correspondence with the signaloutput terminals of each shift register and a detection module connected with the signal deriving module. The signal deriving module comprises a first signal deriving sub-module and a second signal deriving sub-module. Each shift register is cascaded to form a gate driver. As that signal derive module is arranged, detection module, A signal deriving module transmits the gate scan signal to the detection module. The detection module can realize the real-time acquisition and recording of the gate scanning signal, so as to realize the real-time detection of the gate scanning signal, and then canquickly diagnose whether the gate scanning signal is abnormal or not according to the detection result, and quickly locate the abnormal position of the gate scanning signal, so as to eliminate the fault in time.

The invention discloses an RoIs (regions of interest) filtering method and device for vehicle-mounted thermal imaging pedestrian detection. The method provided by the invention is a method for filtering non-pedestrian RoIs through a three-level cascading filter, and comprises the steps that the first layer calculates a pedestrian pixel height and the RoIs aspect ratio and sets corresponding threshold intervals to filter out the RoIs in abnormal sizes; the second layer calculates the vertical distances between the upper and lower boundaries of each RoI and a current image pavement reference oneby one, calculates the threshold value based on the threshold of the pixel heights of the RoIs, and filters out the RoIs in abnormal sizes; the third layer searches for a possible pedestrian head region according to the luminance vertical projection difference curve of each RoI, performs the comparison of the difference degree of the Haar-like features of a head region and an adjacent backgroundregion, and filters out the RoIs without the pedestrian heads. The method can reduce the calculation expenditure of the pedestrian detection and improves the scene adaptability of a classifier under the condition that the pedestrian detection accuracy is considered. The RoIs filtering device comprises an abnormal size RoIs filter, an abnormal position RoIs filter and a head missing RoIs filter.

The invention discloses an Internet of Vehicles road early warning method and an Internet of Vehicles road early warning system based on Beidou. The Internet of Vehicles road early warning method comprises steps that fixed point position data and driving position data are acquired, and are returned to a server; a vehicle driving direction, a vehicle driving speed, and a vehicle position change are determined; an abnormal position is compared with the fixed point position. The Internet of Vehicles road early warning system comprises an on-board Beidou positioning module, an on-board GPRS module, an on-board control module, a direction determining module of a server end, an on-board Beidou short message transmission module, the speed determining module of the server end, an on-board early warning information Beidou transmission module, an on-board early warning information Beidou receiving module, an on-board early warning information GPRS transmission module, an on-board early warning information GPRS receiving module, an abnormal position determining module, a comparison module, a first marking module, and a second marking module. The Internet of Vehicles road early warning method and the Internet of Vehicles road early warning system have advantages of rapid response, safety, high efficiency, strong cooperation early warning capability, and low early warning costs on aspects of driving state monitoring, driving safety guarantee, and traffic accident prevention.

A wafer transfer robot for use in multi-chambered semiconductor device manufacturing equipment includes a base, at least one extendable and retractable arm rotatably supported by the base at one side thereof, and a blade coupled to the other side of each arm. The blade includes a plate having an upper surface dedicated to support a wafer, and a wafer guide disposed at the top of the plate. The wafer seats a wafer on the plate and confines the wafer to an orientation in which a flat zone or notch of the wafer faces in a predetermined direction. Therefore, the wafer can be prevented from slipping to an abnormal position on the blade and a pre-alignment of the wafer can be maintained. Thus, the wafer transfer robot helps to sustain the production yield.

The invention provides a pseudo base station identification method and system. The method comprises the following steps: processing real-time data of an MC signaling interface through a pretreatment mode and obtaining a message file where a source LAC is not in a local LAC list in the data, wherein the message file comprises a plurality of abnormal position messages, each abnormal position messagecomprising a source LAC and target cell identification; according to a pseudo-base station identification model, analyzing the source LACs and corresponding target cell identification in the messagefile and obtaining a cell list influenced by a pseudo base station; analyzing sequential order of the abnormal position messages of each target cell in the cell list through time granularity information, and obtaining activity trajectory of the pseudo base station according to time sequence; and according to the activity trajectory of the pseudo base station, screening out a pseudo-base station suspect carrier in disturbed users under the pseudo base station. The method can identify the pseudo-base station suspect carrier accurately in time.

The invention provides an automobile alarm method and device and system and solves the problems that in the prior art, an automobile owner cannot know the automobile situation in real time and cannot handle the automobile when emergency occurs. The method includes allowing the automobile alarm device to receive automobile abnormality monitoring information sent by an abnormality monitoring device, recognizing the automobile abnormal position corresponding to the received automobile abnormality monitoring information according to a preset index table, and sending the automobile abnormality monitoring information and the automobile abnormal position to the corresponded terminal through a network. By using the automobile alarm method and device and system, the automobile situation can be known timely, alarm can be performed rapidly and conveniently, design is ingenious, implementation is facilitated, and the automobile alarm method and device and system is easy to promote and apply.

The invention provides a server board burning prevention system and a working method. The system comprises a power module, a board burning prevention chip, a BMC and a CPLD. The power supply module supplies power to different parts of the server through a parallel resistor by an output power supply; the anti-burning board chip is respectively connected with the output end and the output end of theresistor; the anti-burning board chip is connected with the CPLD; the CPLD is connected with the BMC, and the BMC is further connected with the anti-burning board chip and the power supply module; when overcurrent occurs in any power supply line, the burn-proof board chip outputs a stop operation signal to the CPLD. After the CPLD receives the interrupt signal, the CPLD sends the interrupt signalto the BMC, and the BMC judges an overcurrent address, stores a log and sends a power-off instruction to the power module. Based on the system provided by the invention, the invention further provides a working method of the anti-burning plate. The board burning prevention chip is additionally arranged, the abnormal position can be quickly positioned and recorded, meanwhile, the power output voltage is turned off, and the board burning phenomenon caused by the abnormal phenomenon is prevented.

The invention relates to a sheet inspection device, and provides a technology which can detect abnormity of the front surface side of a sheet inspected object in high precision and abnormity of a back surface side by a simple structure. A first image of light reflected by the inspected object and a second image of light passing through the inspected object are shot and used to detect abnormal positions on the inspected object. In the abnormal positions, under the condition that a pixel value of the first image and a pixel value of the second image are reduced than a normal value when the inspected object has no abnormity, a processing portion determines the abnormity on the abnormal position is foreign body adhesion or a first surface foreign body mixed in the first surface side of the inspected object, or foreign body adhesion or a second surface foreign body mixed in the second surface side on the opposite side of the first surface, based on reduction degree of the pixel value of the first image relative to the normal value and the reduction degree of the pixel value of the second image relative to the normal value.

The invention provides a test circuit, a display device and a test method of a driving circuit. The test circuit comprises a first signal input line, a first signal output line and a plurality of first thin film transistors, wherein the first signal input line is connected with grid electrodes of the first thin film transistors, the first signal output line is connected with first electrodes of the first thin film transistors, and second electrodes of the first thin film transistors are connected with the driving circuit. Therefore, under the condition of not increasing production technology processes, the working performance of the driving circuit can be evaluated in the production process, an abnormal position can be accurately determined, and performance and the yield of products are improved.

The embodiment of the invention provides an exception positioning method, device and system causing surface defects and electronic device. The exception positioning method causing the surface defectscomprises: acquiring a defect detection result of a to-be-detected image, the defect detection result comprising defect statistical information in the to-be-detected image, and the to-be-detected image being an image which is shot by an image acquisition device and comprises a detection object; acquiring a to-be-analyzed image matched with the defect statistical information; and detecting and analyzing the image to be analyzed, determining abnormal information associated with the defect statistical information, and the abnormal information comprising abnormal position information. Through thescheme, the exception causing the surface defects can be accurately positioned.

The invention discloses a method and a device for detecting abnormal operation of an elevator, and aims at solving the technical problems in the prior art that an elevator control system cannot automatically detect whether the position of an elevator car is abnormal or not. The method comprises the following steps: detecting a first group of operation parameters of the elevator through a first detection manner in an operation process of the elevator; meanwhile, detecting a second group of operation parameters of the elevator through a second detection manner, which is different from the first detection manner; judging whether a detection result of the first group of operation parameters and a detection result of the second group of operation parameters accord with a pre-set corresponding relation or not, and obtaining a judging result; when the judging result is negative, determining that the operation of the elevator is abnormal. The technical effect of automatically detecting the abnormal position of the elevator car by the elevator control system is realized.

An image analysis apparatus is applied to an on-vehicle camera that captures an image of a predetermined monitoring region oriented in a predetermined direction referenced to a vehicle, to analyze an image captured by the on-vehicle camera. The image analysis apparatus includes (i) a storage section that stores a feature quantity of a monitoring region image obtained when an image of the monitoring region is captured by the on-vehicle camera, (ii) an extraction section that acquires an image captured by the on-vehicle camera and extracts a feature quantity of the image captured by the on-vehicle camera, and (iii) a notification section that compares the feature quantity of the image captured by the on-vehicle camera against the feature quantity of the monitoring region image to perform determination whether the on-vehicle camera is mounted in an abnormal position, and notifies a result of the determination.