36results about How to "Get comprehensive information" patented technology

The invention discloses a panoramic optic visual navigation control system of an automatic guided vehicle. The system comprises an autonomous navigation system and a vehicle tail positioning system; and the autonomous navigation system and the vehicle tail positioning system are controlled by a main control system. The autonomous navigation system consists of an omnidirectional optical module, a depth image sampling module, an image combination processing module, a visual window constructing 3D map module, a user-defined module with comparison of a real-time image feature with a 3D map feature, and a path planning module. According to the system, a global map of a warehouse is constructed in a completely unknown warehouse environment. With information stored in the map, the navigation system can obtain a position coordinate of the system in a working environment, position coordinates of various obstacles in the environment, and position coordinates of various station break points and thus the automatic guided vehicle can be guided to move according to a planned line.

The invention comprises, in one form thereof, an operator interface system for a touch screen device having a simplified graphic interface. The operator interface system includes a start screen having fewer than five start screen buttons. The touch screen device is generally a kiosk located within a store. A store map screen is linked to one of the start screen buttons and includes several department buttons integrated into a store layout. A products screen is linked to one of the start screen buttons and provides access to information about the plurality of products sold by the store organized into an intuitive hierarchy. A store services screen is linked to one of the start screen buttons and provides access to one or more service description screens.

The invention discloses a honeycomb core surface shape measuring device, which comprises a laser measuring sensor, a measurement motion system, a reflecting film vacuum absorbing system, a reflecting film laying system, a motion control system for controlling the measurement motion system, and a data processing system for processing data of the laser measuring sensor, wherein the reflecting film laying system coats a reflecting film on a surface to be measured of a honeycomb core, the reflecting film vacuum absorbing system performs vacuum adsorption on the reflecting film so that the reflecting film is closely adhered to the surface to be measured of the honeycomb core, and the reflecting film at honeycomb hole lattices is recessed downwards; and the laser measuring sensor installed in the measurement motion system is controlled by the motion control system for scanning the honeycomb core three-dimensionally so as to obtain honeycomb wall heights of the honeycomb core at different spatial positions, and acquiring a surface shape of the honeycomb core by means of the data processing system. By adopting the method of coating the reflecting film on the surface of the honeycomb core, the honeycomb core surface shape measuring device solves the problem that the surface shape is difficult to measure due to discontinuous characteristic of porous thin walls of the honeycomb core.

The invention discloses a honeycomb core surface shape measuring method, which is characterized by comprising the steps of: coating a reflective film on a surface to be measured of a honeycomb core, and adopting a vacuum adsorption method so that reflecting film is closely adhered to the surface to be measured of the honeycomb core and the reflecting film at honeycomb hole lattices is recessed downwards; and carrying out scanning measurement on the reflecting film on the surface to be measured of the honeycomb core to obtain honeycomb wall heights of the honeycomb core at different spatial positions. The honeycomb core surface shape measuring method has the advantages of being high in measurement precision, low in usage cost, high in measurement efficiency, good in applicability, rich in acquired information and capable of realizing in-suit measurement.

The invention relates to a device for observing micro-droplets. The device comprises a micro-fluidic chip, a flickering light source and an image acquisition module, wherein the micro-fluidic chip is provided with microchannels containing cyclically moving micro-droplets; the flickering light source generates flickering light with preset flickering parameters according to a control signal provided by a flickering light source control module; the image acquisition module acquires images of the micro-droplets irradiated by the flickering light and located in the microchannles of the micro-fluidic chip. The flickering light source is controlled by the flickering light source control module to generate flickering light with specific frequency and irradiates the micro-fluidic chip; then, the image acquisition module acquires the images on the micro-fluidic chip; information about sizes, shapes, flux and the like of the micro-droplets can be obtained according to the images and the frequency of the flickering light. Compared with methods using conventional high-speed cameras, phototubes and the like, the device has the advantages that comprehensive information is acquired conveniently and the device is low in cost and easy to establish and can be widely applied to a small micro-fluidic system.

The invention discloses a transformer substation inspection robot obstacle detection and recognition method integrated with a depth camera. The method comprises steps of using a depth camera for collecting data, preprocessing data, converting the depth map and the RGB color image into a point cloud image, eliminating ground point cloud in the point cloud image by using a defined ground plane model, then performing adaptive clustering on obstacles by using an adaptive density clustering algorithm, finally judging the types of the obstacles, and finally converting obstacle information into two-dimensional laser radar data information and sending the two-dimensional laser radar data information to a path planning algorithm. The calculated amount of the whole process is lower than that of an obstacle segmentation algorithm and an image segmentation obstacle algorithm using deep learning; meanwhile, due to the introduction of the depth camera, the transformer substation robot can easily obtain external three-dimensional information and color images, the perception capacity of the robot is greatly enhanced, and therefore the accuracy and stability of the obstacle avoidance function of the transformer substation inspection robot can be improved.

The invention provides a secondary traffic accident prevention and control method in an intelligent network connection hybrid traffic flow environment. And after the accident occurs, the traffic management center evaluates the accident influence and the upstream traffic state based on the real-time traffic flow data acquired by the camera. On the one hand, RSU equipment within the range of 2000 meters on the upstream of the accident section is controlled to release safety information, and downstream accident conditions are informed to a network connection vehicle in advance through vehicle-vehicle communication forwarding. On the other hand, variable signal identifiers at different sections and RSU equipment are controlled to issue variable speed limit control instructions together, upstream coming vehicles are guided to decelerate ahead of an upstream free flow section so as to reduce the risk of secondary accidents, and the traffic capacity of urban expressways is improved. The control instruction is not forwarded through vehicle-to-vehicle communication. The control model is optimized based on a deep reinforcement learning algorithm. Two indexes of safety and efficiency are considered when a reward function is set, and a penalty factor is set to guide the model to learn a simpler and more reasonable control strategy. The model is optimized by adopting an actor reviewer framework.

A method for retrieving object information is applied to a portable electronic device and includes the following steps. A global position system (GPS) module receives a position signal to get GPS data. A magnetic sensing module senses magnetic field to get azimuth direction data. A touch input module inputs an event which is a movement moving from a touch position towards an object to get input direction data. A processing module gets angle difference data according to the azimuth direction information and the input direction information. The information of the corresponding object from a database according to the parameters of the GPS data is retrieved, and the parameters of the GPS data, the azimuth direction data and the angle difference data are used by the processing module.

The invention relates to a device for quantitatively detecting the spectral content distribution of oxygenated hemoglobin and deoxygenated hemoglobin. The device comprises a light source module, an imaging module, an adjusting bracket, an image data transmission link, a control command transmission link and a computer. As a technical means of high spectral imaging is adopted, the full cover detection is realized in a detected region, and a characteristic spectrum of the oxygenated hemoglobin and the deoxygenated hemoglobin is extracted through using a spectral decomposition technology, the calculation is carried out by utilizing a regional oxygen saturation computational formula, and the device and the method have the characteristics of acquiring comprehensive information and being high in precision without any reagent.

The invention discloses a multi-polarization HRRP scattering center extraction method based on multi-vector ANM. By adopting the scheme of the invention, the robust and highly-accurate scattering center extraction can be achieved. The scheme of the invention utilizes the characteristics that the scattering centers of each channel of a multi-polarization high resolution range profile (HRRP) have the same position and different maximum peak values, performs scattering center estimation by using a multi-vector atomic norm minimization model, obtains a polarization scattering matrix of scatteringpoints while accurately obtaining the position information, and provides more comprehensive information for target recognition. The scheme of the invention fully utilizes the common information between the multi-polarization channels, and effectively improves the estimation accuracy; and compared with the traditional P-MUSIC and P-ESPIRIT methods, the scheme of the invention can adapt to the situation of poor signal-to-noise ratios and has better robustness to noise.

The invention relates to a ship simulation test system based on digital simulation; the system is composed of a test module, a performance evaluation module and a function module; the test module is used for carrying out simulation tests on the performance and function of a ship, and the simulation tests comprise a seakeeping test, a maneuverability test, a rapidity test and an intelligent ship test; the performance evaluation module is used for performing hydrodynamic performance evaluation and intelligent ship evaluation, and hydrodynamic performance evaluation is used for evaluating seakeeping performance, rapidity performance and maneuverability performance of a ship; the intelligent ship evaluation is used for evaluating the autonomous berthing and leaving performance, the anti-collision performance, the tracking navigation performance and the autonomous decision-making performance of the ship; the function module is used for optimizing the ship and comprises a ship type and propeller sub-module and an intelligent ship sub-module. And the evaluation result of the performance evaluation module is accurate and reliable, so that subsequent optimization design is facilitated.

The invention relates to a detecting method of an elevator intelligent operation safety monitoring system. A flat floor sensor detects if an elevator car is stopped on a flat floor; if the stop position is abnormal, an alarm is given; a state sensor detects if a car door is closed; if the car door is closed abnormally, a background alarm is given; a speed sensor senses the speed of the car all thetime; an infrared sensor senses if persons are in the car; a temperature sensor and a humidity sensor are arranged in the monitoring system; normal operation of an elevator can be influenced by abnormal temperature and humidity of the elevator; and once the temperature and the humidity are abnormal, the monitoring system can timely give an alarm to remind background workers to maintain. Comprehensive information of each elevator can be obtained; excellent instantaneity is achieved; a fault diagnosis function is achieved; and when abnormalities occur, operators on duty and maintainers can be timely notified to facilitate quick adoption of emergency measures.

A chain topology wireless communication system for bridge intelligent health monitoring system, including multiple vibration nodes, stress-strain nodes, displacement nodes and intelligent bridge nodes, multiple vibration nodes, stress-strain nodes and displacement nodes are respectively installed on the bridge span Structure, support, abutment or pier surface, monitor the vibration information, stress-strain and temperature information and displacement information of the bridge structure, and realize information transmission and interaction in a chain topology, and communicate vibration, stress-strain, temperature and displacement information to the intelligent bridge node; the intelligent bridge node wirelessly receives the information transmitted by the vibration node, stress-strain node and displacement node, realizes the information interaction, and transmits the vibration, stress-strain, temperature and displacement information to the bridge monitoring information service center . The invention realizes information interaction with intelligent bridge nodes, realizes long-term bridge displacement monitoring, and improves the robustness of the wireless communication system.

The invention relates to an intelligent operation safety monitoring system for elevators. The intelligent operation safety monitoring system is composed of elevator monitoring devices, an intelligentelevator diagnosis and monitoring center and an emergency processing and response module. Each elevator monitoring device comprises a Zigbee communication module, a human body sensor, a sensor unit, an information display module, a storage module, a speaker, a photoelectric detector, a microprocessor, a Hall switch, an alarm device and a power source. The intelligent elevator diagnosis and monitoring center comprises a wireless gateway, a central monitor, a fault diagnosis device, an on-duty personnel director, an overhauling personnel director and an alarming device. The emergency processingand response module comprises a public security mobile phone terminal, a public security center telephone terminal, an intelligent elevator diagnosis and monitoring center telephone terminal, an urbanemergency center telephone terminal and a fire-fighting partial rescue telephone terminal. By the adoption of the intelligent operation safety monitoring system, the comprehensive information of eachelevator can be obtained, the real-time performance is good, and the fault diagnosis function is provided; and when an abnormality occurs, on-duty personnel and maintenance personnel can be notifiedin time, and emergency measures can be taken quickly.

The invention discloses a rare earth ore sample sequential ionization analysis instrument. The instrument comprises a sequential soft ionization device and a mass spectrum detection device. The sequential soft ionization device comprises a reagent quantitative adding and mixing system, a micro liquid layout conveying system, a microscopic morphology analysis system, a micro sample pool and interface system, a field energy coupling and regulation and control system, a special efficient ionization system, a time sequence triggering and intelligent control system and a supporting and connecting system, the eight systems are scientifically arranged and compactly installed on the supporting and connecting system, and the other systems work under the control of the time sequence triggering and intelligent control system, so that all the systems are assisted in time and space. According to the method, molecular structures (M), abundance contents (A) and spatial distribution (D) of different components of an ore sample at a molecular level can be obtained without complex sample pretreatment conditions.