523results about How to "Accurate data support" patented technology

The invention discloses a screw rd drilling tool rotor cladding layer friction test device and a screw rod drilling tool rotor cladding layer friction test method. The device comprises a rack, a box, a grinding wheel assembly, a linear rail assembly, a rectilinear motion assembly, a pressurizing assembly, a speed reducing machine with a motor, and a rectilinear motion assembly driving mechanism. Mud liquid is added in the box; a main shaft of the grinding wheel assembly penetrates through the box; a plurality of grinding wheels are fixedly arranged on the main shaft; at least lower parts of the grinding wheels are positioned in the box; two linear rails of the linear rail assembly are fixed at two sides of the box and are vertical to the main shaft; a base part of the rectilinear motion assembly runs on the linear rails; a pressing block limiting device is arranged on the base part; pressing blocks in the pressurizing assembly are arranged in pressing block installation holes in the pressing block limiting device; the bottom surface of each pressing block clamps a test piece; each pressing block is loaded by a lever mechanism and a pressure applying roller; the speed reducing machine drives the main shaft to rotate by a belt transmission mechanism; the main shaft rotates to drive the rectilinear motion assembly to run by a cam mechanism and a connection rod. Test data are relatively desirable, so that a relatively accurate data support is provided for study on a wear-resisting property of a cladding layer.

The invention relates to fireworks and crackers producing, storing, transporting process dynamic monitoring system and method. The method is formed by supervising and monitoring center systems. It includes that real time collecting and dynamically displaying safe parameter and video information for the firework and crackers production field, band and transportation vehicle; dynamically display the safe parameter, position information, speed information for the transportation vehicle; classing early-warning, warning, processing for the safe parameter; statistical analysis for corporation safety condition; searching corporation monitoring information and warning processing; when the transportation happens accident, the monitoring server will start corresponding emergency beforehand. The invention can prevent large malignancy accident from happening in firework and crackers producing, storing, and transporting to protect people life and property better.

The invention discloses a smart city establishing method based on an IOL (Internet of Lamp) sensor group and cloud computing. A great quantity of sensor clusters of different types is distributed on each key node of a city; the sensor clusters are connected with the IOL; the sensor clusters of different types are gathered to an integrated controller through the IOL; the integrated controller is connected with a smart city cloud platform server; the smart city cloud platform server is connected with a management system of each field of the city; and the management system of each field of the city selects and controls the sensor cluster associated with the field according to business processes. An internet+ concept is applied, various types of city state operation and maintenance sensors including a great quantity of infrastructures, environmental geographic information, the disaster situation of a disaster, video acquisition and the like are plugged in the IOL to collect the current operation state big data of the city, real, accurate and dynamic data support is provided for each application field, and a big data analysis system is established in each application platform and assists city managers to scientifically generate a city management strategy.

The invention is applied to the rail traffic field, and provides a path recognition method based on mobile phone signaling data. The path recognition method comprises the steps that the mobile phone signaling data of a passenger is mapped to a geographic information database, and path information of traveling of the passenger is acquired; information recognition is conducted according to the pathinformation to obtain path recognition information including an inbound station, a transfer station and an outbound station of the passenger; the path recognition information and time information in the mobile phone signaling data are matched with a train running schedule to obtain a riding scheme set of the passenger; and the riding scheme set of the passenger is matched with the mobile phone signaling data to obtain traveling train number information of the passenger. According to the path recognition method based on the mobile phone signaling data, the traveling time and the traveling trainnumber information of the passenger are matched by combining the mobile phone signaling data of the passenger with the train running schedule, base station information and the like, and the defect that in the prior art, the space-time path information of traveling of the passenger cannot be acquired is overcome.

The invention discloses a voltage monitoring data platform, and relates to the technical field of electric variable monitoring devices or methods. The platform comprises a voltage monitoring system, a big data platform, and a relation database. The big data platform is used for collecting the voltage data of a metering automation system, the voltage data of the dispatching automation system and the voltage data of a voltage detector, and transmits the voltage data to the voltage monitoring system for processing through corresponding interfaces. The relation database is used for collecting the data of the relation between the voltages and other parameters of a power marketing system, a distribution network production system, a distribution network GIS platform and a data resource system, and transmits the relation data to the voltage monitoring system through the corresponding interfaces. The voltage monitoring system carries out the monitoring and evaluation of the voltages according to the data transmitted by the big data platform and the relation database. The platform can achieve the monitoring of various types of voltage data, and provides reliable, complete and accurate voltage data support for related system application functions.

The invention provides a field agricultural production scene perceptual computing method and device. The method comprises the steps that binocular image data and growth environment data of crops are collected; point cloud data processing is carried out according to the collected binocular image data, and the plant height, the plant spacing and the row spacing of the crops are computed; digital image processing is carried out according to the collected binocular image data, and the canopy density and growth vigor information of the crops are computed; the plant height, the plant spacing, the row spacing, the canopy density and the growth vigor obtained by computation serve as the form structure indexes of the crops, and a crop growth model is optimized in real time; according to the growth environment data, the optimized crop growth model is combined, and the growth state of the organs of the crops is computed. The method reasonably integrates the computer graphic image, vision and automation technology, the form structure indexes of the crops are detected and serve as auxiliary analysis parameters, the yield of field agricultural production is forecasted, the completeness degree of production and management auxiliary decision is increased, and therefore the management efficiency of field agricultural production is improved.

The invention relates to a vehicle-mounted GPS-based ubiquitous traffic detection system and method, belonging to the traffic field. The system consists of a vehicle-mounted GPS terminal subsystem, a mobile communication subsystem, a data centre subsystem and a traffic information processing centre subsystem, wherein vehicle positioning data collected by the vehicle-mounted GPS terminal subsystem is transferred to the data centre subsystem in real time through the mobile communication subsystem and then analyzed and processed by the data centre subsystem so as to obtain real-time road traffic information, and the real-time road traffic information is sent to the vehicle-mounted GPS terminal subsystem through the mobile communication subsystem. Simultaneously, the real-time traffic information is sent to the traffic information processing centre subsystem every three to five minutes, the condition of traffic flow is predicted through a central computer by utilizing the real-time traffic information and historic traffic information, and traffic flow predicting information is sent to users. In the invention, traffic detection equipment is a motor vehicle-mounted GPS device, and the ubiquity, accuracy and instantaneity of data acquisition are improved in comparison with the prior art that data in traffic detection roots in a fixed detection device.

The invention discloses a slope monitoring system capable of obtaining three-dimensional data of slope deformation, and relates to the technical field of slope engineering. The slope monitoring system comprises a monitoring device used for acquiring data indicating that a slope point to be monitored protrudes frontwards or is depressed backwards; an image collecting device used for collecting data of a horizontal coordinate of the slope point to be monitored; and an information processing device used for comprehensively calculating the data acquired by the monitoring device and the image collecting device to obtain the three-dimensional data of slope deformation. The slope monitoring system disclosed by the invention has the beneficial effects that the information processing device establishes an original three-dimensional coordinate system and a conversion three-dimensional coordinate system to calculate the three-dimensional data of a deformed slope relative to a slope on the previous day and the three-dimensional data relative to a slope at the initial state, the monitoring system is not affected by weather factors, can monitor slope deformation in real time and can accurately determine that the slope protrudes forwards or backwards, move leftwards or rightwards or move upwards or downwards, thereby providing accurate data support for a technician to analyze the slope deformation condition and the slope stability subsequently.

The invention provides a method for seven-day prediction of 24-point power load values based on an optimized LSTM network. The method comprises data acquisition, data analysis and data preprocessing.The method comprises the following concrete steps: dividing a data set into a training set and a verification set; based on the training set, conducting parameter optimization on a long-term and short-term memory neural network (LSTM) by using a particle swarm optimization algorithm (PSO); determining optimal values of three parameters, namely the number of hidden layer nodes, a learning rate andthe number of iterations, of the LSTM network suitable for 24-point power load prediction; and with the training set as input, predicting 24-point power load values in the future 7 days based on the optimized LSTM network, comparing power load data output by a model with the verification set, and determining the prediction accuracy of the model by further taking two indexes, namely a mean absoluteerror (MAE) and a root-mean-square error (RMSE) into consideration. By means of the prediction method, prediction accuracy and timeliness are improved, and the prediction effect is better than the prediction effect of an existing power load prediction method.

The invention relates to the technical field of landform modeling and particularly relates to a method and a device for achieving three-dimensional landform modeling by using BIM. The method for achieving the three-dimensional landform modeling by using the BIM comprises the following steps: obtaining survey data of a construction site; determining types of the survey data, wherein the types of the survey data comprise two-dimensional drawing data of the construction site and geological drilling information data of the construction site; and establishing a CATIA geological scale model for the survey data according to the determined types of the survey data. According to the method and the device for achieving the three-dimensional landform modeling by using the BIM, a three-dimensional landform model of a bridge establishing position is established and a landform of the bridge establishing position is directly displayed, so that the accuracy of producing the data for bridge erection is improved.

The invention discloses an IoT (Internet of Things) service terminal for a factory. The IoT service terminal comprises a data acquisition unit which comprises a CPU (central processing unit) as well as a keyboard, a battery, a flash, an RS232 (recommend standard 232) serial port, an Ethernet module, an I/O (input/output) acquisition module, a clock and a display screen which are respectively connected with the CPU. The IoT service terminal for the factory has the functions of receiving instruction information about production service plan as well as acquiring, uploading and processing information of a production field and can be used for acquiring data such as equipment state, production Takt time, alarm information, equipment utilization rate and the like, thereby saving labor and reducing the data acquisition cost.

The invention discloses an external wind turbine freezing detector and a wind turbine freezing detecting method to solve the problems that according to existing wind turbine freezing detecting methods, the shape is designed aiming at the designed wind speed only, and when incoming flow does not meet the designed wind speed condition, errors are large and application is limited. The detector comprises a cylindrical body and sensors, wherein the cylindrical body comprises a front end and a rear end in smooth connection with the front end, at least two arc ends with different radii are arranged at the front end, and the sensors are arranged at the arc ends respectively. The external wind turbine freezing detector is independent of a wind turbine, and freezing data on the external wind turbine freezing detector are extrapolated to obtain the freezing distribution condition on the wind turbine by means of freezing information on the detector and relevant information of a control system of the wind turbine according to a processing system for the relevancy between the meteorological condition, the freezing information on the external wind turbine freezing detector and freezing of the wind turbine. The external wind turbine freezing detector is convenient to install and high in adaptability.

The invention discloses a car target trajectory tracking system which comprises multiple data collecting systems and a data control system. Each data collecting system comprises an interchanger, an industrial personal computer and millimeter-wave radar. A licence plate camera is connected with the industrial personal computer through a data line, the millimeter-wave radar is connected with the interchanger through a signal line, and the interchanger is connected with the industrial personal computer through a signal line. The data control system comprises a data server and a data displayer, the industrial personal computer is communicated with the data server through a public network data converter, and the data server is connected with the data displayer. According to the system, a targetcar can be monitored. The invention further discloses a car trajectory tracking method. According to the tracking method, the moving track of the target car can be accurately tracked and positioned,and high innovativeness is achieved.

The invention discloses a high-pressure gas tightness detection system. The high-pressure gas tightness detection system is used for performing quantitative detection on the high-pressure gas tightness of a high-pressure sealing system, wherein a certain quantity of gas for detection is introduced into a high-pressure tank and then water is continuously injected into the high-pressure tank so that the gas pressure in the detection system is capable of meeting the test requirement, and quantitative detection is performed on the gas for detection leaking from the high-pressure sealing system under this circumference, and therefore, the sealing leakage quantity of the high-pressure sealing system under corresponding testing working conditions can be obtained. According to the result of the quantitative detection, the designed leakage quantity of a sealing element can be verified so that the reasonability and safety of the design of the sealing element can be verified, and the result of the quantitative detection also can be used for detecting the leakage quantity under variable working conditions, and therefore, the correspondence between the working conditions of the sealing element and the leakage quantity can be obtained, and furthermore, the leakage quantity under the working conditions of the sealing element can be determined; consequently, accurate data support can be provided for the design of the sealing element, the connecting part of the sealing element and the like.

The invention relates to a safety monitoring system and a safety monitoring method for firework/cracker manufacturing workshops and storerooms. The safety monitoring system comprises an intelligent monitoring subsystem for the manufacturing workshops and storerooms and a processing center which are networked by virtue of a wireless sensor network (WSN); and the safety monitoring method comprises the following steps: acquiring and storing the safety parameters of the firework/cracker manufacturing workshops and storerooms; carrying out graded early warning, alarming and corresponding processing on the firework/cracker manufacturing workshops and storerooms; and carrying out statistical analysis on the safety situations of enterprises. By using the system and method provided by the invention, the overall safety monitoring on the firework/cracker manufacturing workshops and storerooms can be realized, and timely and accurate information can be provided for the graded supervision and accident emergency of the processes of manufacturing and storing fireworks and crackers implemented by management departments, thereby preventing and eliminating the occurrence of big and special vicious accidents in the processes of manufacturing and storing the fireworks and crackers, and better guaranteeing the lives and property of people.

The invention discloses an intelligent traffic management and evaluation system based on BIM. The invention relates to the technical field of intelligent traffic, and aims to solve the technical problems that a traditional intelligent traffic management system cannot quickly acquire digital achievements of urban traffic design and construction and is inconvenient for complete-cycle and all-aroundinformation sharing of design, construction and management. The invention discloses an intelligent traffic management and evaluation system based on BIM. The system comprises an information collectionunit based on BIM, a control management unit and a display unit. The invention provides an intelligent traffic management and evaluation system based on BIM. The BIM technology can be utilized to realize full-cycle information sharing and operation supervision of urban traffic from design to construction and then to later operation maintenance management, thereby avoiding self-integration of eachprocess, isolating information, avoiding repeated collection requirements of the information, realizing smooth transmission of the information, and providing accurate data support for traffic managers.

The invention provides a method for obtaining user feature data, and a server, and is suitable for the technical field of Internet. The method comprises the following steps that: synchronizing user basic data in each business data to a distributed file system to construct a user attribute base; utilizing a calculation engine to analyze and gather the synchronized user basic data to obtain featuredata independently corresponding to each user; on the basis of the interface of the user attribute base, obtaining a data access request emitted from a business system; and verifying the validity of the data access request, and if the data access request is legal, returning the feature data of the user matched with the data access request to the business system. By use of the method, under a situation that multiple business databases are separated, the feature data independently corresponding to each user can be quickly analyzed, the feature data of the user is comprehensively evaluated, the operation of an existing business system is not affected, and accurate data support is provided for functions including the personalized business customization of the user, business recommendation andthe like.