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.

Embodiments of the present invention disclose a multi-channel network video stream license plate recognition method and system. The license plate recognition method is applied to a monitoring system,and comprises: an acquisition and decoding step: collecting network video streams distributed by multiple IP cameras, and decoding the network video streams in real time; a concurrent processing step:using a multi-thread concurrent processing mode to sequentially perform license plate detection, character segmentation and character recognition on image frame data; and a display and analysis step:rendering and displaying the license plate number data and the image frame data in real time, receiving user interaction information at the same time to control the rendering and displaying, displaying, distributing, and collecting statistics of license plate number data, and saving the statistical results as log information. According to the embodiments of the present invention, the license plate image of the license plate area existing in the video is detected, and the deep learning technology is used to recognize the license plate image, so that the license plate number data in the video is obtained, the problems that the traditional method has poor tolerance and a slow speed are solved, and the technical scheme can be applied to the video stream information that the environment is complex and variable.

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.

This invention provides one method to acquire network information, which comprises the following steps: first network sends preset protector sub network information index orders; second management receives the said order and requires protection sub network relative information and sends required information to first network management. The invention provides one network management system composed of first and second managements. Through above method and system, it is helpful to get whole network information and whole management.

The invention discloses a noncontact three-dimensional laser foot type measuring system and method. The system comprises an object-carrying glass platform, a mechanical supporting module, an optical imaging module, a movement control module, a three-dimensional model building module, an automatic parameter measuring module and a 3D shoe tree designing module. A user only needs to place a measured foot on the object-carrying glass platform, then omnibearing three-dimensional data measuring can be completed through the optical imaging module, and high-density three-dimensional surface shape point cloud data are acquired; feature parameters of foot type are given through the automatic parameter measuring module, whether the foot type is malformed or not is judged according to the high-density three-dimensional surface shape point cloud data and the feature parameters, shoe tree designing is performed, and complete measuring of one foot type can be completed within ten seconds or more; noncontact laser measuring is adopted, and the user can perform measuring under a condition of easily stretching, so that deformation caused by contact is avoided effectively; the movement control module controls the optical imaging module to move back and forth for measuring, so that the acquired three-dimensional surface shape point cloud data are more omnibearing and higher in density.

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 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 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 relates to an elevator intelligent operation safety monitoring system. The system consists of each elevator monitor, an elevator intelligent diagnosis monitoring center and an emergencyprocessing answering module; each elevator monitor comprises a Zigbee communication module, a human body inductor, a sensor unit, an information display module, a storage module, a speaker, a photoelectric detector, a microprocessor, a hall switch, an alarm and a power supply; the elevator intelligent diagnosis monitoring center comprises a wireless gateway, a central monitor, a fault diagnosis machine, an on-duty operator commander, a maintainer commander and an alarm; and the emergency processing answering module comprises a security mobile phone terminal, a security center phone terminal, an elevator intelligent diagnosis monitoring center phone terminal, a city emergency center phone terminal and a firefighting part rescue phone terminal. The system can obtain comprehensive informationof each elevator, achieves excellent instantaneity and fault diagnosis function, and can timely notify on-duty operators and maintainers to quickly adopt emergency measures when abnormalities occur.

The present invention discloses a metabonomics technology-based persistent organic pollutant cytotoxicity action mechanism research method. According to the method, HepG2 cells are exposed to organicpollutants, the intracellular and extracellular culture liquid metabolites can be effectively analyzed by using UHPLC / Q-Trap MS, the influence of the organic pollutants on the cell metabolism pathwaycan be intuitively reflected by combining statistical analysis and metabolic pathway analysis, and by using a biological detection method, the activity of rate-limiting enzyme related to the metabolicpathway is further rapidly analyzed. According to the present invention, the organic pollutant cytotoxicity action mechanism is clarified according to the intracellular metabolite content change andthe activity change of the rate-limiting enzyme in the metabolic pathway, and the pollutant toxicity action mechanism evaluation method is constructed based on molecular biology, and the metabonomicstechnology-based persistent organic pollutant cytotoxicity action mechanism research method has advantages of easy operation, rapid detection, high sensitivity, strong selectivity, good repeatability,comprehensive information acquisition and the like.

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 polarization multispectral aerial photographic camera based on a monolithic area-array CMOS detector. The polarization multispectral aerial photographic camera comprises a large-field-of-view optical imaging system, a band-pass filter, a polarization beam splitting film, the area-array CMOS detector and an electronics processing circuit which are sequentially arranged from left to right, wherein the large-field-of-view optical imaging system is composed of 15 spherical lenses which are arranged in sequence; the area-array CMOS detector serves as a focal plane array,realizes the effect of replacing a linear array device with an area-array device by means of a window opening function of the CMOS detector, and further improves the installation and integration precision of a focal plane assembly. The polarization multispectral aerial photographic camera based on the monolithic area-array CMOS detector has a system field of view capable of reaching 83.7 degrees,effectively eliminates distortion and color aberration, allows an optical path to reach telecentric in a quasi-image space, and has high imaging quality.

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 relates to a thermal field distribution measurement system of a sonic nozzle pipe wall, which includes an adiabatic fixture for clamping a sonic nozzle in a fluid channel, and a miniature thermocouple array for collecting the section temperature of a sonic nozzle, and the adopted sonic nozzle is made of metal In this way, the heat-insulating fixture is made of heat-insulating material, including two fixture units that can be disassembled and can be fixedly connected together, each fixture unit includes a fixture shell and a clamping column located on the axis of the fixture, and the clamping column The middle part of the body is provided with a through fluid channel, and the ends of the clamping cylinders of the two clamp units are respectively sealed and connected with one end of the sonic nozzle, so that the sonic nozzle is fixed on the axis of the heat insulating fixture and communicated with the fluid channel. After the fixture unit is fixedly connected, an annular gap is formed between the fixture shell and the clamping cylinder; thermocouple implantation holes with different positions and different depths are provided on the body of the sonic nozzle for implanting a thermocouple sensor array.

The invention discloses a method for detecting the metabolic profile of bile acid pathways based on serum samples, comprising: preparing samples; using ultra-high performance liquid chromatography tandem time-of-flight mass spectrometry to deduce and identify bile acids in serum samples, and if there are standard products, use the standard products Confirm the retention time of the primary mass spectrometry quasi-molecular ion and the accurate mass-to-charge ratio of the characteristic secondary fragment ion; if there is no standard, according to the cracking law and chromatographic characteristics of the same type of bile acid, combined with the primary and secondary mass spectrometry in serum Identify the data and chromatographic behavior; use ultra-high performance liquid chromatography in series triple quadrupole mass spectrometry to quantitatively analyze bile acids, cholesterol and hydroxysterols. If there are standards, optimize the appropriate detection conditions through standards; Based on the qualitative first-order and second-order mass spectrometry data of ultra-high performance liquid chromatography tandem time-of-flight mass spectrometry, the characteristic product ions are optimized, the cone voltage and collision energy are optimized, and quantitative analysis is realized; the metabolic profile of the whole bile acid pathway is obtained.

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 proposes a secondary traffic accident prevention and control method in an intelligent network-connected mixed traffic flow environment. After the accident, the traffic management center evaluates the impact of the accident and the upstream traffic status based on the real-time traffic flow data obtained by the camera. On the one hand, it controls the RSU equipment within 2,000 meters upstream of the accident section to release safety information, and forwards it through vehicle-to-vehicle communication to inform the connected vehicles of the downstream accident situation in advance. On the other hand, the variable signal signs at different sections are controlled to issue variable speed limit control instructions together with the RSU equipment to guide the upstream vehicles to decelerate earlier than the upstream free flow section to reduce the risk of secondary accidents and improve the capacity of urban expressways. . Control commands are not forwarded through vehicle-to-vehicle communication. The invention optimizes the control model based on the deep reinforcement learning algorithm. When setting the reward function, two indicators of safety and efficiency are taken into account, and a penalty factor is set to guide the model to learn a more concise and reasonable control strategy. The model is optimized using the actor-critic framework.

The present invention relates to a calibration method for the moon, in order to solve the difficulty in establishing spectral image transformation and the corresponding relationship between the right ascension and declination coordinate transformation of the equatorial mount when using a slit-type spectrometer, an equatorial mount and a guide mirror to cooperate with the ground-based moon observation, To solve the technical problem of causing large observation errors, a slit-type spectrometer positioning method for the moon is provided. By establishing the corresponding relationship between the changes in the lunar image of the slit-type spectrometer and the changes in the right ascension coordinates and declination coordinates of the equatorial mount as a turntable, it can During the moon positioning process, the equatorial mount is accurately corrected to avoid its pointing error, improve the accuracy of the moon calibration, and solve the problem of precise moon positioning by the slit spectrometer.

The invention relates to a device for observing microdroplets, which includes: a microfluidic chip, which has a microchannel containing periodically moving microdroplets; a flashing light source, which is generated according to a control signal provided by a flashing light source control module. flickering light with preset flickering parameters; and an image acquisition module, which collects images of micro-droplets in the micro-channel of the microfluidic chip irradiated by the scintillation light. In the present invention, the flickering light source is controlled by the flickering light source control module to generate flickering light of a specific frequency, and irradiates the microfluidic chip; then the image acquisition module collects the images on the microfluidic chip; the microfluidic liquid can be obtained through these images and the frequency of the flickering light. Droplet size, shape and flux and other information. Compared with traditional methods such as high-speed cameras and photoelectric tubes, the present invention has the advantages of comprehensive information acquisition, convenience, low cost, and easy construction, and can be widely used in miniaturized microfluidic systems.

The embodiment of the present invention discloses a multi-channel network video stream license plate recognition method and system. The license plate recognition method is applied to a monitoring system and includes: a collection and decoding step: collecting network video streams distributed by multiple IP cameras, and decoding in real time ; Concurrent processing step: use multi-threaded concurrent processing mode to sequentially perform license plate detection, character segmentation and character recognition on image frame data; display analysis step: perform real-time rendering and display on license plate number data and image frame data, and receive user interaction information at the same time Control the rendering display, and display, distribute, and count the license plate number data, and save the statistical results as log information. The embodiment of the present invention detects the license plate image of the license plate area existing in the video, and uses deep learning technology to identify the license plate image, and obtains the license plate number data in the video, which solves the problems of poor error tolerance and slow speed of the traditional method, and can be applied Based on the complex and changeable video stream information in the environment.

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 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.