42results about How to "Implement IntelliSense" patented technology

The invention discloses an intelligent trolley and belongs to the field of embedded type application and automatic control. Most trolleys used in the supermarkets at present are traditional manual trolley, and only certain additional functions are added at most. The intelligent trolley is hereinafter referred to as the trolley; the trolley comprises a main controller, a wireless module, a power supply, at least two anticollision sensors, a motor, a touch screen, an electronic label card reader and a camera, wherein the wireless module, the power supply, the at least two anticollision sensors, the motor, the touch screen, the electronic label card reader and the camera are respectively connected with the main controller; the main controller adopts one or the combination of two of an ARM (Advanced RISC Machines) processor, an FPGA (Field Programmable Gate Array) chip and a DSP (Digital Signal Processing) chip; the position of a handle of the trolley is defined to be at the rear end; the bottom part of a basket of the trolley is provided with the main controller, the wireless module and the power supply; the power supply is a pluggable or wireless charging battery module; and two wheels at the rear end of the trolley are directional wheels driven by the motor, and two wheels at the front end of the trolley are universal wheels. The intelligent trolley is a trolley with functions of intelligent sensing and automatic tracking.

The invention relates to a transformer substation field operation management and control system and method based on three-dimensional dynamic modeling. The method comprises the following steps: performing three-dimensional dynamic modeling on a transformer substation; accurate positioning; based on the three-dimensional digital model, carrying out intelligent management and control on an operation site through intelligent identification and early warning; based on a three-dimensional digital model, performing live-action rehearsal and equipment simulation training on typical production operation and safety accidents through a virtual reality system. According to the invention, visual data support is provided for field operation work and personnel training work; real-time positioning and track checking of personnel and equipment are realized, and visual technical support is provided for remote intelligent management and control; an intelligent management and control means is provided for field operation safety, dynamic simulation of an operation task plan, typical operation, dynamic rehearsal of safety accidents and disassembly and reassembly analogue simulation of typical equipment are achieved, a visual simulation scheme is provided for field operation, operation risks are reduced, immersive training experience is provided, and training efficiency is improved.

The invention discloses an intelligent ship-borne terminal device for inland waterway intelligent shipping information service. The ship-borne terminal device consists of a power supply module, a data collection module, a main control module, a communication module and a human-computer interaction module; and an online analysis processing technology, multiple sensing technologies (global positioning system (GPS), automatic identification system (AIS), wireless frequency identification devices (RFID), sensors and videos) and a communication technology are utilized by the invention to realize the automatic identification of a ship identity and the perception of a running status of the ship by aggregating, rebuilding and interacting polymorphic heterogeneous data under the sailing status of the inland waterway ship, so that solid guarantee can be provided for the ship data perception of an inland waterway intelligent shipping information service system, the realization of ship-ship interconnection, ship-bank interconnection and ship-cargo interconnection and for the safe sailing and high efficient transportation of inland waterway ships in China, and the rapid development of the inland waterway intelligent shipping information service (internet of ships) can be promoted.

The invention relates to a robot embedded computing terminal integrated with high precision navigation positioning and deep learning. The embedded computing terminal is characterized by comprising a core processing unit Jetson chip, an FPGA chip, an embedded ARM module and multiple types of sensors which are integrated, wherein the sensors comprise a GNSS satellite navigation module, an IMU inertial navigation module, a laser radar device and a camera, the core processing unit Jetson chip is connected with the camera and the laser radar device, the FPGA chip is connected with the GNSS satellite navigation module, the IMU inertial navigation module and the embedded ARM module, and the embedded ARM module is connected with a servo motor of a control robot. The embedded computing terminal isadvantaged in that realization of the real-time high-precision positioning result solution can be supported, and environment sensing and mission planning of the robot are realized.

The invention discloses an intelligent trolley and belongs to the field of embedded type application and automatic control. Most trolleys used in the supermarkets at present are traditional manual trolley, and only certain additional functions are added at most. The intelligent trolley is hereinafter referred to as the trolley; the trolley comprises a main controller, a wireless module, a power supply, at least two anticollision sensors, a motor, a touch screen, an electronic label card reader and a camera, wherein the wireless module, the power supply, the at least two anticollision sensors, the motor, the touch screen, the electronic label card reader and the camera are respectively connected with the main controller; the main controller adopts one or the combination of two of an ARM (Advanced RISC Machines) processor, an FPGA (Field Programmable Gate Array) chip and a DSP (Digital Signal Processing) chip; the position of a handle of the trolley is defined to be at the rear end; the bottom part of a basket of the trolley is provided with the main controller, the wireless module and the power supply; the power supply is a pluggable or wireless charging battery module; and two wheels at the rear end of the trolley are directional wheels driven by the motor, and two wheels at the front end of the trolley are universal wheels. The intelligent trolley is a trolley with functions of intelligent sensing and automatic tracking.

The invention relates to a wind driven generator variable-pitch transmission gear fault diagnosis method based on current signals. The method comprises the following steps: acquiring variable-pitch gear transmission system driving shaft motor stator current signals; preprocessing the motor stator current signals to enable the motor stator current signals to meet the requirements of a monitoring system; acquiring a low-frequency part where the fundamental frequency of the motor stator current signals is located; acquiring the continuous instantaneous frequency of the low-frequency part where the fundamental frequency of the current signals is located; acquiring the instantaneous angle of a driven gear according to the continuous instantaneous frequency conversion, and carrying out equal-angle cyclic rooting to obtain equal-angle sampling solutions; summing the equal-angle sampling solutions to obtain a current signal in an angular domain, and eliminating the influence generated by speedfluctuation; performing data processing on the current signal in the angular domain by using a data analysis method to obtain a spectrogram; and judging that a fault of the transmission gear exists when a fault side frequency peak value is detected between two frequency multiplication component peak values of the spectrogram.

In order to solve the problem of poor universality and adaptability in docking after non-cooperative spacecrafts are captured, the invention provides a non-cooperative spacecraft docking and locking system based on a satellite-arrow docking ring, and relates to the technical field of non-cooperative spacecraft capture. The non-cooperative spacecraft docking and locking system comprises a docking device and a locking device, wherein the docking device is used for measuring and adjusting the relative position and posture of the satellite-arrow docking ring and the locking device of the satellite-arrow docking ring so as to make the locking device contact the docking surface of the satellite-arrow docking ring; the locking device is used for locking the outer edge of the satellite-arrow docking ring from a radial direction when the locking device is in contact with the docking surface of the satellite-arrow docking ring; the locking device comprises a plurality of locking members and a moving platform; and the plurality of locking members are distributed on the moving platform, and the plurality of locking members can be radially contracted or expanded on the moving platform. The satellite-arrow docking ring is the structure possessed by most spacecrafts, which can be adapted to different diameters of satellite-arrow docking rings with adjustable radial spacing jaws.

The invention provides a general gesture command transmitting and operating device and method and belongs to the field of electronic appliance control. The device comprises a computer, a camera, a card master page, cards, a wireless transmitter and a wireless receiver. The cards are graphs, or images, or symbols or identification with a semantic or operation function. A virtual interface corresponding to the cards has certain functional distribution. The card master page is a physical plane and provided with one or more different cards for representing the images or the graphs of different control objects or control functions. The camera obtains image data on the card master page and transmits the image data to the computer. The computer segments all the cards and recognizes the cards. The computer automatically determines functions corresponding to the cards by recognizing the cards of the images; the gesture moving range of an operator is recognized to implicitly perceive a control object of the operator, and the gesture of the operator is recognized to perceive interaction intention of the operator.

The invention discloses a passenger comfort-oriented train tunnel passing duration calculation method, comprising the steps: obtaining an air pressure meteorological parameter sequence when a train passes through a tunnel through vehicle-mounted temperature, humidity and air pressure sensors installed at the head end and the tail end of the train, obtaining a mileage sequence from the current position to a tunnel exit through a response type device installed in advance, and constructing a tunnel meteorological parameter database; realizing tunnel air pressure meteorological parameter classification in the database through building division and an average temperature distribution model; on the basis, carrying out typical sequence extraction on each category, and constructing an RGB color image joint template matching model; establishing an LSSVM error model for an output error of the RGB color image joint template matching model; and finally, organically fusing the two models to realizeaccurate calculation of the duration of the train passing through the tunnel.

The embodiment of the invention discloses an intelligent sensitive laser radar system and an intelligent sensitive laser radar control method. The system comprises a sensor and an intelligent controller, wherein the sensor is used for sensing an environment, the intelligent controller is used for adjusting detection performance of the sensor according to information of the environment sensed by the sensor. The sensor disclosed by the embodiment of the invention can comprise various types of sensors, thus, the advantages of various sensors can be integrated, and the resolution and the finenessof the environmental sensing are improved. Moreover, the sensor disclosed by the embodiment of the invention also can be used for adjusting the detection performance of the sensor according to the environmental information sensed by the sensor so as to achieve intelligent sensing.

The embodiment of the invention provides a conveying pipeline operation abnormity reason identification method and device. The method comprises the following steps: acquiring operation data of different positions of a conveying pipeline; clustering the operation data at different positions to obtain a preset number of operation data with different abnormal fluctuation types; labels are established for the preset number of operation data with different abnormal fluctuation types according to the corresponding relation between the abnormal fluctuation types and the abnormal reasons; the label is an abnormal reason corresponding to an abnormal fluctuation type occurring in the operation data; taking the operation data with the label as a training sample, and calculating a classification condition of the operation data in the training sample; and according to the classification condition, identifying the abnormal reason of the to-be-identified operation data, thereby improving the accuracy of identifying the abnormal reason of the operation of the conveying pipeline.

The invention discloses a method for estimating the pose of a refueling cover of an automatic refueling robot, and is applied to the technical field of automatic refueling of a fuel vehicle. A scheme of combining passive binocular stereoscopic vision and visual servo is provided, wherein the passive binocular stereoscopic vision is used for sensing environmental information, and the pose information of a refueling cover grabbing point is obtained by using a stereoscopic matching technology; in addition, a visual servo method is added; a passive binocular camera is responsible for a coarse positioning part of an early-stage perception task, that is, the process of calculating pose information of the grabbing point through a binocular stereo matching method; and visual servo carries out fine positioning on the basis of coarse positioning, that is, the process of guiding a mechanical arm to move to the position of the grabbing point through a visual servo technology, so that it is guaranteed that the mechanical arm moves to the refueling cover grabbing point position, the refueling cover is unscrewed subsequently, and a refueling gun stretches into the refueling cover for refueling.

The invention relates to an equipment state acquisition method based on a power consumption information acquisition system. A master station, a concentrator and a remote control and remote communication positioning module are included; various remote communication interfaces of the concentrator are respectively connected to a remote control and remote communication positioning module; the alarm output end of the remote control and remote communication positioning module is connected with the remote communication end of the concentrator; the remote control and remote communication positioning module comprises multiple remote communication interfaces and multiple remote control interfaces; and various remote communication interfaces and remote control interfaces are respectively connected toa switch. The acquisition method comprises the steps of: periodically acquiring the remote communication input state of the remote communication interfaces, when the switch state is changed, detecting that remote communication is deflected by the remote control and remote communication positioning module, uploading switching information to the concentrator according to the mode set by the system,and sending to the master station by the concentrator. According to the method in the invention, the remote communication interfaces and the remote control interfaces are expanded through the remotecontrol and remote communication positioning module; the fact that various equipment switches are accessed to the master station in a unified manner is realized; the switch state can be obtained in real time; and furthermore, the equipment switches also can be remotely controlled.

The invention discloses a clustering well logging system. The system comprises wireless nodes, a server and mobile terminals. The wireless nodes comprise intelligent gateways and intelligent acquisition terminals. The server is equipped with an interactive operation and task management module and a time-real multi-well data analysis application module. The time-real multi-well data analysis application module makes comprehensive analysis to multiple well logging data information according to all well-logging data information collected by the wireless nodes. The mobile terminals receive real-time data analysis results sent by the server and send a control instruction to the server according to input of an operator so that the server is controlled. The clustering well logging system resolvesthe defect of a conventional working mode of single-machine single-well. The working mode featuring single machine and multiple wells is created. One instrument can log multiple wells at the same time. An innovative change is made to the conventional working mode. A regional and standardized factorized well-logging collaborative operation mode is created so that the decision-making level of management is effectively increased.

The invention relates to a wind driven generator variable-pitch transmission belt fault diagnosis method based on current signals. The method comprises the following steps: acquiring variable-pitch belt transmission system driving shaft motor stator current signals; preprocessing the motor stator current signals to enable the motor stator current signals to meet the requirements of a monitoring system; acquiring a spectrogram of the preprocessed motor stator current signals by using a data analysis method; and determining that the belt of the variable-pitch belt transmission system has a faultif a fault side frequency peak occurs in the fundamental frequency setting range in the frequency spectrum,. By using the method provided by the invention, the slipping fault caused by belt aging canbe identified under the condition of not increasing a sensor.

The invention relates to a method for debugging secondary equipment of a transformer substation. The method comprises a bracket, a debugging end, a debugging instrument and a network switch, and sequentially comprises the following steps: generating a debugging strategy, debugging tested equipment, generating a debugging report and analyzing a debugging result. The method has the advantages that the tested equipment is debugged through a debugging strategy generation method, a tested equipment debugging operation method, a debugging report generation method and a debugging result analysis method. Intelligent generation of a debugging template and intelligent perception and intelligent diagnosis of a debugging result are realized. Intelligent debugging of secondary equipment of the whole station and automatic generation of a debugging report are realized. The control PC and the debugging instrument are core carriers of the whole debugging system, the control PC is connected with the debugging instrument and the tested equipment, seamless transmission from operation information flow to debugging data flow and then to debugging control and feedback flow is achieved, and therefore automatic debugging is conducted on secondary equipment of a transformer substation, and the debugging effect and quality are improved.

The invention discloses an intelligent sensing inspection system and method for a transformer substation, and relates to the technical field of electric power system inspection. The system comprises an edge end data acquisition and analysis subsystem, a station end management subsystem and a cloud artificial intelligence subsystem, the edge end data acquisition and analysis subsystem is used for acquiring target inspection data based on an inspection task and performing edge analysis on the target inspection data based on an artificial intelligence model to obtain an inspection analysis result; the station end management subsystem is used for generating and issuing an inspection task, managing inspection related data and generating an original sample set for training and optimizing an artificial intelligence model; and the cloud artificial intelligence subsystem is used for training and optimizing an artificial intelligence model according to the original sample set and issuing the artificial intelligence model. By multiplexing existing equipment of the transformer substation and deploying intelligent equipment, intelligent and automatic inspection of the transformer substation is realized, the manual operation and maintenance cost is saved, and high-quality operation and maintenance are realized.

The invention relates to a self-driven sensing method for the galloping state of a power transmission line, and belongs to the technical field of intelligent power grids. The method comprises the following steps: S1, establishing a test system of a swing type electromagnetic vibration energy collector, simulating galloping states of different power transmission lines by utilizing a vibration exciter to obtain corresponding output electric signals, and taking the output electric signals as system self-driven sensing characteristic parameters; analyzing a change rule between the output electricsignal of the collector and the line galloping state parameter, constructing a qualitative relationship between the self-driven sensing characteristic parameter and the line galloping state, and establishing a self-driven sensing characteristic parameter information database of different line galloping states; and S2, establishing a self-driven sensing system for monitoring the galloping state ofthe power transmission line, comparing and analyzing the acquired electric signals with the self-driven sensing characteristic parameter information in the database established in the S1 by adopting aclustering analysis method, judging the galloping state and degree of the line, and realizing intelligent sensing of the galloping state of the power transmission line.

The invention discloses an unmanned aerial vehicle obstacle avoidance method and device, an unmanned aerial vehicle and a storage medium. The method comprises the following steps: acquiring forward image data, forward millimeter wave radar data and forward laser radar data collected along the flight direction of the unmanned aerial vehicle; according to the forward image data, the forward millimeter wave radar data and the forward laser radar data, determining the contour of a forward obstacle and distance information between the unmanned aerial vehicle and the forward obstacle; and according to the forward obstacle contour, the unmanned aerial vehicle contour, the distance information and the forward flight speed, determining a moving direction and a moving speed for avoiding the forward obstacle, and according to the moving direction and the moving speed, controlling the unmanned aerial vehicle to avoid the forward obstacle. According to the scheme, the problem that the existing scheme is poor in forward obstacle detection capability, low in safe flight accuracy and incapable of adapting to diversified obstacles in an electric power line patrol working environment is solved, and the operation safety of the electric power line patrol unmanned aerial vehicle is effectively guaranteed in the electric power line patrol operation process.

The invention discloses a subway carriage passenger guidance method and system based on environment monitoring and illumination guidance. The method and the system achieve the intelligent sensing of the passenger distribution condition through the characteristics that the passenger density changes to cause the temperature, humidity and CO2 concentration distribution changes in a carriage. The problems of crowd flow and shielding when images are adopted for passenger distribution detection are avoided, and the problem of floor intrusive transformation when pressure sensors are adopted for passenger distribution detection is avoided; and passengers are guided to flow by adjusting the brightness of lighting lamp tubes in the carriage, for example, the lighting lamp tubes in the area with large passenger distribution density are dimmed, the lighting lamp tubes in the area with small passenger distribution density are brightened, the passengers are guided to flow to the area with small passenger distribution density in order, interference of the noisy environment of the carriage is avoided, and the illumination guide mode has the advantages of simplicity, directness and high acceptability.

The invention belongs to the technical field of water conservancy monitoring systems, and particularly relates to a water conservancy monitoring system based on the Internet of Things. An uplink port of a water conservancy information sharing platform is separately in sharing connection with a vehicle and vessel dispatching subsystem, an alarm and emergency subsystem, a water quality and hydrology monitoring subsystem and a flood prevention command platform, a downlink port of the water conservancy information sharing platform is connected to the uplink port of a water conservancy information center platform. The water conservancy monitoring system provided by the invention solves the problem that as an early warning and flood prevention dam system is not timely and complete, the valuable time of rescuing losses caused by flood is lost, and the safety of people's lives and properties cannot be effectively guaranteed. The water conservancy monitoring system has the beneficial technical effects of effectively guaranteeing the safety of the people's lives and properties, ensuring more comprehensive and sufficient information summarization, and having a good intelligent control effect and an advanced water conservancy informationization system.

The invention provides an NS3-based high-dynamic electromagnetic spectrum cognition management system and a method thereof. The NS3-based high-dynamic electromagnetic spectrum cognition management system comprises an MCRN network. The MCRN network comprises a primary user group PUs, a cognitive radio user group CRs and a cognitive radio user fusion center. The primary user group Pus formed by M primary users, the cognitive radio user group CRs formed by N cognitive radio users and the cognitive radio user fusion center share some section of electromagnetic spectrum. Each cognitive radio user CR comprises an MCRN-NS3 extension module. The MCRN-NS3 extension module comprises four submodules. The four submodules are a spectrum intelligent sensing module, a spectrum decision module, a spectrumswitching module and a spectrum sharing module. The system can realize functions of cognitive radio spectrum sensing, primary user detection and spectrum intelligent switching and the like, and besides, can further expand a new function.

The invention discloses a fiber grating sensor pre-embedding method based on a vacuum-assisted molding process, and belongs to the field of monitoring of the health of a ship hull. The method is mainly used for achieving the techniques of under the condition of vacuum-assisted molding, protecting tail fiber outlets of pre-embedded fiber sensors, sealing a tail fiber casing pipe, demolding a vacuumbag, separating the vacuum bag from the casing pipe, separating the casing pipe from tail fibers, etc. The fiber sensors are pre-embedded in a composite skin, the tail fibers are guided out of the sensors, the outlets are covered with the casing pipe (sealing pipe), the two ends are sealed with sealing gum, after the vacuum-assisted molding process is completed, the vacuum bag is demolded and separated from the casing pipe, then the casing pipe is subjected to ring cutting to be separated from the tail fibers, and then the exposed fibers can be subjected to fiber splicing and networking. According to the fiber grating sensor pre-embedding method, the upstream is integrated with the fiber sensing networking technology, and the downstream is integrated with the fiber sensor packaging technique, so that an intelligent monitoring network of a whole ship is constructed, health monitoring and intelligent sensing of the composite ship hull under a pre-embedding condition are achieved, and afoundation is laid for achieving the intellectualization of the ship.

The embodiment of the invention discloses a vehicle-mounted intelligent sensing lamp control method and system. The method comprises the steps that perception information related to lamp control is acquired, and the perception information comprises human body induction parameters and environment induction parameters; according to the human body induction parameters, a first lamp body is controlled to be turned on based on a first lamp control rule; controlling a second lamp body to be lightened based on a second lamp control rule according to the environment sensing parameter; when a control instruction is detected, a third lamp body is turned on, and the color and the brightness of the third lamp body are adjusted; according to the embodiment of the invention, intelligent perception is realized, the vehicle-mounted atmosphere lamp is intelligently controlled according to the environment, and the entertainment experience of a user in a vehicle is improved.

The invention discloses a long-distance full-range ultrahigh-resolution intelligent sensing compound eye monitoring camera, which comprises a shell protective cover, a wiring terminal board, a lightning protection device, a power supply module, a compound eye monitoring camera assembly and a signal sending device, the compound eye monitoring camera assembly comprises a mounting plate, a general camera, detail cameras, a processing plate mounting frame and a processing plate, the general camera, the detail cameras and the processing plate mounting frame are arranged on the mounting plate, the processing plate is arranged on the processing plate mounting frame, and a Sensor board connected with a lens is arranged at the ends, away from the lens, of the general camera and the detail cameras;the Sensor board is connected with the processing board through a transmission line, and the processing board is provided with a calibration system, an early warning system and a snapshot system. Theprocess that the front end of the camera automatically pushes pictures and short videos to the background is realized, so that traffic polices can be liberated from heavy work of daily auditing and monitoring videos, and a large amount of manpower and material resources are saved.

The invention provides a system for a dynamic power grid pollution area diagram and an intelligent sensing method, and the system comprises a pollution in-situ representation micro-sensor system integrated with a micro-mass / ash-salt ratio monitoring module, a wireless sensor network node module and a 5G data transmission module. A data platform system which is internally provided with a database server or a cloud website and is provided with drawing software for the dynamic power grid pollution area graph is utilized. According to micro-mass or the total deposition amount collected by a sensorsystem and a micro-mass value, the ash density value and the salt density value collected by a monitoring substation system. A dust density value and a salt density value of the data is calculated bythe sensor system, various data is comprehensively analyzed and processed, and the dynamic pollution area graph is drawn. Systematic, comprehensive, accurate and direct measurement and drawing technology is provided for drawing of a power grid pollution area graph, the method is closer to the actual state of pollution and the actual state of a pollution area, and reliable and scientific support and basis can be provided for various plans and decisions of a power grid.

The invention discloses a method and system for inducing passengers in a subway car based on environmental monitoring and lighting guidance, which utilizes changes in passenger density to cause temperature, humidity and CO 2 The characteristics of concentration distribution changes realize the intelligent perception of passenger distribution, avoid the crowd flow and occlusion problems faced by using images for passenger distribution detection, and avoid the intrusive floor modification problems faced by using pressure sensors for passenger distribution detection ;Adjust the brightness of the lighting tubes in the compartment to guide the flow of passengers, such as dimming the lighting tubes in areas with high passenger density, brightening the lighting tubes in areas with low passenger density, and guiding passengers to areas with low passenger density The orderly flow avoids the interference of the noisy environment in the compartment, and the lighting guidance method has the advantages of simplicity, directness and high acceptance.