35results about How to "Wide range of data" patented technology

A system and method for gathering and reporting user and device activity data from wireless communication devices through a log file. The log file stores entries related to user events including the use of communications and applications, as well as access to local and remote media resource files. The log file entries may include parameters critical to mobile device operation such as location, signal quality, and battery power. The data gathering system comprises a plurality of wireless communications devices, each of which sends the log files through an available wireless communications system to a central facility for processing and aggregation into a database. Stored data is analyzed to generate, display, and marketing information that may include historical trends and projections of future consumer preferences and activities.

Methods and systems provide a computer markup language, referred to as Reusable Data Markup Language (“RDML”), and a data viewer for retrieving, manipulating and viewing documents and files in the RDML format that may be stored locally or over a network (e.g., the Internet). Generally, RDML permits the browsing and manipulation of numbers, as opposed to text and images like in HTML, and does so by including attributes describing the meaning of the numbers to be attached to the numbers. Documents compliant with the markup language encapsulate machine-readable documentation with numbers and data, and permit the data viewer to act as a combination web browser and spreadsheet to automatically read, interpret and manipulate the numbers and data.

Methods and systems provide a “tree view” for a markup language referred to as Reusable Data Markup Language (“RDML”). Generally, a tree view comprises the components necessary for automatically manipulating and displaying a graphical display of numerical data contained in RDML markup documents. RDML is a markup language, such as the Hypertext Markup Language (“HTML”) or the Extensible Markup Language (“XML”). Generally, RDML facilitates the browsing and manipulation of numbers, as opposed to text as in HTML, and does so by requiring attributes describing the meaning of the numbers to be attached to the numbers. Upon receiving RDML markup documents, the tree view transforms, formats, manipulates and displays data stored in the markup documents using the attributes describing the meaning of the data. The tree view uses the attributes of the numbers to, for example, facilitate the simultaneous display of different series of numbers of different types on a single display. It automatically displays the relationship between series of numbers while displaying appropriate labels, titles, number precision, etc. A tree view may be a component of a data viewer used to retrieve, manipulate, and view documents in the RDML format.

Relating to the technical field of intelligent traffic, the invention provides a method and system for time-delay path planning. The method includes: acquiring the personalized information recorded by each client in real time; converting the personalized information recorded by each client into semantic information, and extracting mobile pre-judgement information of users according to the semantic information; forecasting the traffic information of each road section in each period of time according to the mobile pre-judgement information of all the users; planning an initial path to a destination in a specific period of time by a current client according to the traffic information of each road section in each period of time and the individualized information of itself; and in the driving process, adjusting the initial path in real time according to the traffic information obtained by continuous forecast. The method and the system provided by the invention has the characteristics of large data sample size, wide data range and data timeliness, can reduce the prediction result deviation, and can more comprehensively, more accurately and more timely forecast the driving road section with good traffic conditions within certain period of time in the future for users, thus enhancing the accuracy of path forecast and adjustment.

The invention discloses a power dispatching information disclosure platform for a large power grid and belongs to the technical field of power dispatching information management. The power dispatching information disclosure platform is integrated into a 3-tier structure by an Oracle database and business intelligent software, including a data collection layer, a data distributing management layer and a data display layer; and the data collection layer, the data distributing management layer and the data display layer are connected in sequence. The invention also provides a power dispatching information disclosure method for the large power grid. The method comprises the steps of: collecting the service data of central dispatching / local dispatching; respectively grouping the service data of central dispatching / local dispatching according to the source area of the data, user types and management organization structure; and carrying out announcement and distribution management processing to each group of service data in a regional, objective or hierarchal mode, and displaying the data processing results. The power dispatching information disclosure platform has the characteristics of openness, generality and operability and the like, and can dynamically adapt to and support the change requirement on the disclosure information.

Embodiments of the invention disclose an entity recognition model generation method, an entity recognition method, device and apparatus. The method comprises the steps of performing training by utilizing standard text data to obtain a mapping model of segmented words and word vectors; performing word segmentation on the first training text to obtain first segmented words included in the first training text; determining an approximate word of the first segmented word through the mapping model of the segmented word and the word vector, and generating an approximate sentence corresponding to thefirst training text through the approximate word of the first segmented word; obtaining feature representation of each character in the first training text and feature representation of each characterin an approximate sentence corresponding to the first training text; and training to generate an entity recognition model by utilizing the feature representation of each character in the first training text, the feature representation of each character in the approximate sentence corresponding to the first training text and the entity category label and the character sequence label of each character in the first training text.

A rapid identification method for grapefruit diseases and insect pests comprises the following steps: collecting pictures of various grapefruit diseases and insect pests, adopting LabelImg to label the diseases and insect pests in the pictures according to the types of the diseases and insect pests, and obtaining a training data set and a verification data set; inputting the pictures in the training set and the verification set into a YOLOv5x network model for model training to obtain optimal weight data of the YOLOv5x network model; and loading the optimal weight data into the YOLOv5x network model, inputting a to-be-identified picture, and outputting an identified disease and pest category. According to the method, the grapefruit disease and insect pest pictures capable of covering almost all categories are collected as the data set of the training prediction model, the practicability of target detection is improved, the purposes of rapid identification and prediction are achieved by adopting the YOLOv5 network model, and technical support is provided for prevention of disease and insect pests.

The invention discloses logistics sorting equipment and an article conveying method. The logistics sorting equipment can control the operation of each conveyor in a regional manner through firstly increasing a transverse distance among articles and then adopting a longitudinal distancing device composed of a plurality of conveyors which are distributed in the form of a matrix and have independentpower, and the operation of one conveyor does not affect the other conveyors, so that interference of conveying among the articles at different positions can be effectively simplified, control logic is simplified, and control precision is improved; meanwhile, images acquired by an image acquisition device are used for providing control basis, so that compared with a photoelectric sensor, the provided data range is wider, conveying for all the articles on the longitudinal distancing device can be better planned integrally, and higher flexibility and efficiency are achieved; and meanwhile, a centering conveyor is arranged after separation, the articles output one by one can be output onto subsequent equipment at a unified position, so that simplification for the structure and control difficulty of the subsequent equipment is benefited.

The invention discloses an escaping and rescuing assisting device based on BIM and AR technologies and belongs to the technical field of rescuing equipment. The escaping and rescuing assisting devicecomprises a worn device and a data acquiring and transmitting device; a BIM model of a building is stored in a microcomputer of the worn device; a certain amount of sensor units, data transmission base stations and positioning base stations are arranged at proper positions inside the building; when urgent evacuation is required, each sensor unit is used for acquiring real-time data inside the building; by amplification and analogue / digital conversion, the data is transmitted to a second communication module and the data transmission base stations; the position and speed of an escaping person are monitored in real time by the positioning base stations and positioning modules; all escaping people can share the data in real time or acquire the data from the data transmission base stations, and the data is displayed on AR glasses in real time by virtue of an augmented reality technology, so that each escaping person can find out the most suitable escaping route.

The invention discloses a grid drill site actual measurement method of a shallow-buried single-key-stratum stope overlying stratum structure, and belongs to the technical field of coal mining. The actual measurement method includes the steps that a plurality of fixed measurement stations are set in an auxiliary conveying way; drill holes in an air return way are divided into displacement inclinedholes An, displacement vertical holes Bn and peep inclined holes Cn, wherein the displacement vertical holes Bn and the displacement inclined holes An are located in the same plane, the displacement vertical holes Bn and the displacement inclined holes An are crossed to form a grid shape, and the peep inclined holes Cn are parallel to the largest displacement inclined hole; and a roof stratum breaking movement trajectory and a displacement change rule are actually measured through a drill site on the auxiliary conveying way and the air return way. The before-mining and after-mining whole process of a working face can be monitored in real time through the drill holes in the auxiliary conveying way, and the existing requirement for observation of a roof stratum caving zone and a fissure zoneis met; and obtained roof extended breaking or moving information is monitored through the advanced drill holes of the air return way, and the requirement for an important information source of warning and forecasting of pressure on the working face in the prior art can be met.

The invention discloses a medical insurance data analysis method based on big data, and belongs to the field of medical insurance data analysis. A model is established and analyzed; it is found that all indexes of macroeconomy have a large influence on the prediction precision of the models; the crowd classification medical insurance of this research only occupies a small part of the medical insurance data from the aspects of data dimension and data scale, and the analysis and research of future medical insurance big data must be wider in data range, larger in data volume and deeply combined with macroeconomic indexes. The medical insurance big data technology and application of the invention are mainly in the following three aspects. The development of metering automation equipment technology and the improvement of information system level are realized. The development of metering automation equipment can collect information in a multi-dimensional mode, meanwhile, the accuracy and timeliness of information collection can be guaranteed, and better data integration, storage and statistics can be brought by the development of an information system.

The invention provides a solar tracker and belongs to the field of solar collection equipment. The solar tracker comprises a sliding seat. A sun-exposure panel is installed at the upper end of the sliding seat, the four directions of the sun-exposure panel are provided with a temperature sensor respectively, and the temperature sensors are connected with a temperature analysis module connected to a motor control module. The solar tracker is capable of tracking the sun so as to guarantee that the solar collection side directly faces the sunlight, and the solar tracker is simple in structure and low in cost.

The invention provides a railway bridge and culvert height-limiting protection frame state monitoring system and method, wherein the method is applied to the system and comprises the steps: providing and collecting attitude information of a protection frame, environment information and image information near the protection frame; building a three-dimensional model of the protective frame, and performing attitude simulation by utilizing the built three-dimensional model of the protection frame according to the received attitude information; extracting vehicle information from the received image information when the simulation exceeds a threshold; and generating and issuing alarm information according to the simulation result of the protection frame and the vehicle information. The impact, posture and environment information of the left and right pillars of the height-limiting protection frame are detected, the influence of the impact on the postures of the pillars and a cross beam and the environment where the protection frame is located are evaluated, then the impact force and the bridge and culvert posture information are simulated, an alarm is given according to whether the impact force and the bridge and culvert posture information exceed preset threshold values or not, the automation degree is high, the collected data range is wide, and comprehensive monitoring of the height-limiting protection frame is realized.

The invention relates to the technical field of risk prediction. The invention discloses a motorcade risk identification method. The method comprises the following steps: determining the characteristic factor set of the motorcade according to first data and second data, executing first processing on the characteristic factor set to obtain a characteristic factor value of each vehicle in the fleet,and executing second processing on the characteristic factor value to obtain a first risk score of each vehicle in the motorcade, grouping the vehicles in the motorcade according to the first risk scores to obtain a plurality of vehicle groups, calculating a second risk score of each vehicle group, and calculating the risk identification score of the motorcade according to the second risk scores.The invention further provides an electronic device and a computer readable storage medium. The motorcade risk identification accuracy can be improved.

The invention discloses a range calculation method and device of clinical data, a readable medium and an electronic device. The method includes the steps: data training is performed on a known data set to establish a target classification model; the known data set includes known target data and known non-target data; the unknown data set is classified by the target classification model to obtain target data to be statistically treated; and confidence intervals of clinical indicators of the target data to be statistically treated are fitted to obtain the range of the target data to be statistically treated. The method is highly efficient in application of big data, so the data range involved in data analysis is wider, the number is larger, the calculation method is more rigorous, and thus the advantages of big data analysis can be combined, and compared with a traditional way, the method obtain a more accurate clinical data range interval with more medical value.

The invention aims to provide a mobile phone VR box, a mobile phone camera is combined with a reflector, so that a smart phone can acquire dynamic data of the body of a user and scene data of the ground, and a hardware basis for the mobile phone to realize six-degree-of-freedom (6dof) tracking and body interaction is provided. In order to solve the technical problem, the mobile phone VR box is realized by adopting the following technical scheme: the mobile phone VR box comprises a box body, the front part of the box body is provided with a mobile phone accommodating cavity, the middle part ofthe box body is provided with a lens group, and the rear part of the box body is provided with a head fixing device. The reflector is arranged at the front end of the mobile phone accommodating cavity, and an included angle is formed between the reflector and the mobile phone accommodating cavity.

The invention discloses a calibration method of quadrature modulation data transmitted between a baseband unit and a radio frequency unit, which comprises: 1, a module A obtains IQ data calibration values corresponding to carriers, and the carriers and the corresponding IQ data calibration values are sent to a module B; 2, the module B sends the received carriers and the received corresponding IQ calibration values thereof to a module C, respectively calculates the corresponding IQ data calibration values of the received carriers, and compares the calculated values of the corresponding IQ data calibration values of one carrier with receiving values, so as to judge the transmission between the module A and the module B; 3, the module C respectively calculates the corresponding IQ data calibration values of the received carriers, and compares the calculated values of the corresponding IQ data calibration values of one carrier with receiving values so as to judge the transmission between the module B and the module C. The technical proposal of the invention realizes the on-line calibration of all IQ data.

The invention relates to the technical field of testing equipment and discloses an impact experiment table for testing the surface strength of a mobile phone. The impact experiment table comprises a bottom support, wherein a supporting rod is movably connected to the upper end of the bottom support, a top support movably is connected to the upper end of the supporting rod, a fixed frame is downwards arranged in the top support, and a testing box is movably connected to the lower end of the fixed frame; an impact spring is arranged in the fixing frame, a center rod is movably connected to the lower end of the impact spring, bearing teeth are arranged on the left side and the right side of the center rod, force storage wheels are connected to the two sides of the bearing teeth in an engagedmode, a control worm is arranged above the front side in the test box, and an adjusting key is connected to the lower portion of the control worm in an engaged mode; the lower portion of the adjustingkey is movably connected with a driving shaft. According to the impact experiment table for testing the surface strength of the mobile phone, the accumulated force of the impact spring can be controlled by controlling the stroke of the center rod, so the purpose of controlling the impact load strength is achieved, and sample requirements can be reduced while a wider data range obtained by experiments is ensured.

The invention discloses a line channel orthoimage fused laser point cloud ground object automatic identification method comprising the following steps: collecting line channel orthoimage data, and pre-processing the line channel orthoimage data; adopting a random forest algorithm to identify and classify the corrected orthoimage; the method comprises the following steps: collecting line channel laser point cloud data and tower standing book data, preprocessing the laser point cloud data, extracting ground point cloud and tower and power line point cloud, and taking the remaining laser point cloud data as target point cloud; and carrying out point cloud segmentation on a target point cloud by taking an orthoimage classification result as a constraint condition, and carrying out fine classification on a coarse classification result by adopting a random forest algorithm to obtain a point cloud recognition result. On the basis of various characteristics of the orthoimage, the two-dimensional advantage of the orthoimage and the three-dimensional advantage of the laser point cloud are combined, the point cloud classification precision is improved, point cloud classification parallel processing is added on the basis of orthoimage classification, and the point cloud classification processing efficiency is improved.

The invention discloses a general query system for cigarette related indexes, and belongs to the technical field of cigarette data query. According to the general query system for the cigarette related indexes, data of cigarettes ordered by commercial sales, agreement execution, delivery analysis, price K lines and terminals are queried through three market levels, eleven cigarette levels and sixtime levels and visually displayed in four quadrants. The general query system for the cigarette related indexes is clear in function classification, simple to operate, wide in data range and large inscale, reduces the operation difficulty of users, can meet the requirements of more users, improves the use experience of the users, improves the working efficiency, has various display forms and hasgood popularization and application values.

Relating to the technical field of intelligent traffic, the invention provides a method and system for time-delay path planning. The method includes: acquiring the personalized information recorded by each client in real time; converting the personalized information recorded by each client into semantic information, and extracting mobile pre-judgement information of users according to the semantic information; forecasting the traffic information of each road section in each period of time according to the mobile pre-judgement information of all the users; planning an initial path to a destination in a specific period of time by a current client according to the traffic information of each road section in each period of time and the individualized information of itself; and in the driving process, adjusting the initial path in real time according to the traffic information obtained by continuous forecast. The method and the system provided by the invention has the characteristics of large data sample size, wide data range and data timeliness, can reduce the prediction result deviation, and can more comprehensively, more accurately and more timely forecast the driving road section with good traffic conditions within certain period of time in the future for users, thus enhancing the accuracy of path forecast and adjustment.

The invention relates to the technical field of permanent magnet synchronous motors, in particular to a maximum torque current ratio calibration method, device and equipment of a permanent magnet synchronous motor. The method comprises the following steps: generating a current amplitude maximum torque current ratio MTPA table according to an obtained maximum torque value under each current amplitude of the permanent magnet synchronous motor and a current angle corresponding to the maximum torque value; generating a current angle MTPA table according to the obtained maximum torque value at each angle of the permanent magnet synchronous motor and the current amplitude corresponding to the maximum torque value; and according to the data of the current angle MTPA table, blank lattice points in the current amplitude MTPA table are supplemented to obtain an MTPA calibration result of the permanent magnet synchronous motor. Therefore, the problems of long calibration period, low efficiency, poor calibration precision, high labor cost and the like due to the fact that the maximum torque current ratio is calibrated manually in the prior art are solved.

The invention discloses a mounting mechanism and a nacelle for detecting atmospheric pollution thereof. The mounting mechanism comprises a mounting plate, groove plates and limiting blocks are arranged on the end face, close to an upper shell, of the mounting plate, and a sliding groove is formed between the two groove plates; a first clamping block and a second clamping block are slidably mountedin the sliding groove, the first clamping block and the second clamping block are assembled with a clamping screw rod in a threaded screwing mode, and the screwing directions of the threads where thefirst clamping block and the second clamping block are screwed with the clamping screw rod are opposite. The first clamping block and the second clamping block are provided with a first semi-arc groove and a second semi-arc groove respectively, and the first semi-arc groove and the second semi-arc groove form a clamping round hole assembled with a stress rod in a clamped mode after the first clamping block and the second clamping block are tightly attached; a clamping lug is arranged on the first clamping block; the upper shell is provided with a clamping groove which is assembled with the clamping lug in a clamping manner. According to the invention, a monitoring assembly is arranged in the pod, flow monitoring is achieved in the mode that the unmanned aerial vehicle mounts the nacelle,and the obtained data range is wide, and reference value is high.