35 results about "Spatiotemporal database" patented technology

The invention relates to an object data subscription method based on a spatiotemporal database, comprising an organizing process and a subscription process of data objects. The organizing process comprises a process of constructing a database of the data objects; the subscription process is a step of actively pushing information to the client associated with the database according to at least one data record change of the spatiotemporal database so that the user can know in time the running state of the desired object to be managed. The spatiotemporal database of the objects at least includes interaction among the real-time database, and the historical database and the planning database of the object data interacting with each other so as to timely transmit and monitor the running state of the objects during the automatic operation thereof.

The invention discloses an underground illegal mining identification method and system integrated with the D-InSAR and GIS technology. The method includes the steps of integrating the D-InSAR technology and the GIS technology comprehensively, and building a mining subsidence space-time database by taking vectors, digital rasters, radar images and social reports as the data base and an oracle 13g framework as an underlying platform; and realizing the management and processing technology of massive data, the extraction technology of deformation information and the identification of underground illegal mining by calling attribute acquisition, graphics clipping, element conversion, reclassification, raster technology, overlay analysis, map algebra, contour and curvature and slope generation and other spatial data processing and analysis algorithms provided by the ArcGIS Engine10.3. According to the invention, the purpose of real-time dynamic monitoring of underground illegal mining activities is achieved.

The invention discloses a visual modeling method and system based on space-time big data. The method comprises the steps: carrying out the labeling classification of a spatial feature data set, an attribute feature data set, and a time scale feature data set, and obtaining a first business feature data set; obtaining a corresponding visual image data set according to the first business feature data set; inputting the business spatio-temporal database and the business management indexes into a deep convolutional neural model for data training to obtain a first business spatio-temporal data model; performing incremental learning on the first service spatio-temporal data model according to the first service periodic change feature to obtain a second service spatio-temporal data model; and performing support management on the first construction project information according to the second business spatio-temporal data model. The technical problem that in the prior art, the business models are numerous and frequently changed and adjusted, and data cannot be rapidly extracted to meet business requirements is solved.

The invention discloses a high-efficiency spatio-temporal data retrieval method based on a ground state modified model. The high-efficiency spatio-temporal data retrieval method is used for increasing efficiency and accuracy in history retrieval of a spatio-temporal database and comprises the steps of designing an initial state and a current state of the two-ground-state spatial-temporal database managed by storage patterns, performing immediate updating on the current ground state through an event correction mode between the two ground states, taking events as units to organize history negative increment data, constructing a history spatio-temporal sequence, and dynamically creating multiple groups of correction versions relative to the initial ground state in the long history according to needs to create a temporary ground state of an intermediate history state. Detailed and accurate spatio-temporal evolution records can be achieved with low data redundancy by means of an organization mode of event correction, high-efficiency spatio-temporal positioning can be achieved through establishment of the correction versions, a history maintenance function of the model can be greatly enhanced by means of cooperative effect of the organization mode of event correction and establishment of the correction versions, and therefore, high-efficiency and stepless spatio-temporal retrieval of the history is achieved.

The invention provides a method for preparing an emission inventory of road dust sources with high temporal and spatial resolution. The method includes: Step 1: Obtain high-resolution remote sensing images, geographic videos, real-time traffic data and road dust observation data, and obtain multi-source spatiotemporal data of urban road dust influencing factors in the target area based on the collected data perception; Step 2: Based on Said multi-source spatio-temporal data, build road dust load spatial distribution model, traffic condition spatial distribution model, and localize road dust emission factor model; Step 3: Construct road dust load spatio-temporal database, road dust activity level spatio-temporal database and the road dust emission factor spatio-temporal database; step 4: according to the road dust activity level spatio-temporal database, the road dust emission factor spatio-temporal database and the road dust load spatio-temporal database, calculate the road dust emissions of different road sections at different times , to realize the compilation of emission inventory of road dust sources with high spatio-temporal resolution.

The invention discloses a subject event updating method base and an urban multi-source time-space information parallel updating method. Suggested time-space information updating is related to multiple factors such as information sources, data models and dimension, updating methods, updating technological process, quality control and subject events, and a time-space database is updated on the basis of multi-source data integration and abnormal change discovery. On the basis of time-space database updating, a sudden event updating mechanism, an updating method based on subject event linkage and a GPU (Graphic Processing Unit) parallel acceleration updating algorithm are established, so that the dynamic information updating of urban time-space substances and time-space events is realized specific to the requirements of updating content and frequency of time-space information. The subject event updating method base and the urban multi-source time-space information parallel updating method has the advantages that corresponding data and sensors are updated by the GPU parallel updating algorithm according to the judgment and triggering of corresponding subject events, so that major sudden events concerned by users can be discovered while the time-space information of users is kept newest, and technical support can be provided for emergency safety, traffic dispersion and the like in smart cities.

The present invention provides a data processing method and electronic equipment. The method includes: obtaining an input identification set, the identification set includes at least one target identification code, at least one target identification code is used to indicate the identity of the corresponding user; Contact spatio-temporal data of at least one target identification code, wherein the spatio-temporal database includes a plurality of spatio-temporal grids, and the spatio-temporal grids include spatio-temporal trajectory data of users with the identification code in the first time period in the first geographical area; for the received Contact the spatio-temporal data for processing, and obtain the processing results used to assist in reflecting the state of disease transmission; output the processing results. The method of the invention can effectively improve the investigation and analysis efficiency of epidemic patients.

A method for retrieving data objects based on a spatial-temporal database includes modeling a to-be-managed object in consideration of temporal and spatial statuses of the to-be-managed object; setting specific attributes of the to-be-managed object that are expressed in a natural language according to resultant management models of the managed object; and performing retrieval based on types of the management models of the managed objects and a spatial and / or temporal attribute that is expressed in the natural language and defined by the models so as to determine the operational status of the to-be-managed object. Since data information about monitoring and management of production is described over three temporal periods that are associated to historical data, real-time data and plan data, a user can know spatial-temporal operational statuses of the to-be-managed object by performing retrieval using a spatial-temporal metalanguage, making data management simple and saving storage in computers.

The invention discloses a method and a device for constructing a time-space map of an intelligent pipe network. The method comprises the following steps: acquiring intelligent pipe network spatio-temporal data to establish an intelligent pipe network spatio-temporal database; performing data spatio-temporal knowledge mining on the intelligent pipe network spatio-temporal database to obtain a pipe network spatio-temporal knowledge base; constructing an intelligent pipe network space-time knowledge graph according to the pipe network space-time knowledge base; and updating and maintaining the time-space knowledge graph of the intelligent pipe network according to a preset condition. According to the method, the problems that data and knowledge islands exist and cross-spatio-temporal query and analysis cannot be performed in the current smart pipe network spatio-temporal data re-practice and application process can be solved by constructing the smart pipe network spatio-temporal map; fusion and sharing of the intelligent pipe network spatio-temporal data are facilitated, and restrictions on fusion and sharing of the intelligent pipe network spatio-temporal data in the prior art are broken through.

The invention discloses a method for storing and retrieving video monitoring images. The method includes the following steps: synchronously recording the position parameters and optical parameter information of the camera in the video monitoring image files; after the video monitoring image files are transmitted to the server, the associated server According to the position parameter and the optical parameter information, the time-space coverage corresponding to the video surveillance image and the camera motion state are obtained; wherein, the X-axis of the time-space coverage is longitude, the Y-axis is latitude, and the Z-axis is time; The camera movement state mentioned above refers to rotation and stretching operations. A surveillance video spatio-temporal database is constructed from the spatio-temporal coverage, the motion state and corresponding video surveillance images; the time- and space-based query of the surveillance video is realized through the surveillance video spatio-temporal database. The realization of the scheme of the present invention makes up for the deficiency of video data retrieval based on image content, and realizes retrieval based on time and space coverage.

The invention discloses a suspicious vehicle discovery algorithm based on space-time constraints, which relates to application fields such as intelligent transportation, space-time database and artificial intelligence, in particular a suspicious vehicle discovery method that does not rely on visual features. Including the following steps: 1) Submit k a space-time constraint; k is a natural number, k The range of values ​​is 1≤ k ≤10; k A space-time constraint is k a relatively clear space and time range; 2) in the trajectory database to find the matching k Vehicles with space-time constraints, and get the final query results. Using the spatio-temporal characteristics of suspicious vehicle movement, express the time range and space range of suspicious vehicle motion as spatio-temporal constraints, query suspicious vehicles based on spatio-temporal constraints, and support multiple spatio-temporal constraints and distributed processing to improve the detection of suspicious vehicles efficiency.

The invention discloses an underground illegal mining identification method and system integrated with the D-InSAR and GIS technology. The method includes the steps of integrating the D-InSAR technology and the GIS technology comprehensively, and building a mining subsidence space-time database by taking vectors, digital rasters, radar images and social reports as the data base and an oracle 13g framework as an underlying platform; and realizing the management and processing technology of massive data, the extraction technology of deformation information and the identification of underground illegal mining by calling attribute acquisition, graphics clipping, element conversion, reclassification, raster technology, overlay analysis, map algebra, contour and curvature and slope generation and other spatial data processing and analysis algorithms provided by the ArcGIS Engine10.3. According to the invention, the purpose of real-time dynamic monitoring of underground illegal mining activities is achieved.

The invention discloses a method for monitoring reservoir patrolling in real time based on three-dimensional GIS. The method comprises the following steps: communicating a mobile terminal platform with a monitoring center to transmit geographic location coordinates and site environment information; constructing a reservoir patrolling spatio-temporal database for recording patrolling task information by the monitoring center; constructing a three-dimensional digital scene model of a reservoir region by utilizing a three-dimensional GIS and unmanned aerial vehicle oblique photography to displaypatrolling track information of the patrolling task and site environment attribute information; updating patrolling task progress in real time, displaying a complete patrolling route change in a three-dimensional digital geographic scene of the reservoir region, and providing real-time browsing of patrolling information; and after finishing the reservoir patrolling task, storing space data acquired in the patrolling task and historical data information, providing task backtracking at any angle of view in the three-dimensional digital geographic scene, and submitting a reservoir patrolling digital report. The method provided by the invention can simulate site conditions and progress of the patrolling task more accurately, and achieve purposes of informationization, contextualization and effectuation of the monitoring of the reservoir patrolling task.

The invention relates to a flood forecasting method based on a rainfall flood space-time database. The flood forecasting method comprises the following steps that 1) the rainfall flood space-time database is constructed; 2) a dynamic space-time rainfall map is drawn according to the rainfall flood space-time database with combination of GIS map data; 3) the space-time data corresponding to all the heavy rain paths involved in the flood in the historical periods of time are acquired according to the rainfall flood space-time database, and the heavy rain paths are displayed on the space-time rainfall map; and 4) corresponding class models are acquired according to the space-time data corresponding all the heavy rain paths, and flood forecasting is performed according to the class models. Compared with the methods in the prior art, the flood forecasting method has the advantages of being connected in space and time, dynamic and visual and accurate in forecasting.

The invention provides a method and device for establishing a wireless cell spatio-temporal database, which relates to the communication field and is used for establishing the wireless cell spatio-temporal database. The method comprises the following steps of determining a minimum measurement vehicle number set on a line to be measured; determining wireless cell spatio-temporal data for each vehicle in the minimum set of measured vehicles; dividing the measured line into corresponding parking line, starting line and normal driving line of each station; determining a first wireless cell spatio-temporal database according to the information; acquiring travel route information of the first train; selecting spatio-temporal data corresponding to each station through which the first train passesfrom the first wireless cell spatio-temporal database; obtaining the complete spatio-temporal data of the first train by combining the spatio-temporal data corresponding to each station passing through the first train; determining the wireless cell spatio-temporal database of the line under test, so that the method for establishing the wireless cell spatio-temporal database provided by the present application can improve the efficiency of establishing the wireless cell spatio-temporal database and save the time and cost.

The present invention provides a real population analysis method and system based on spatio-temporal data, including compressing a large amount of data with a common subject object in the spatio-temporal trajectory data into one data record based on the object normalization algorithm, and then using the site aggregation algorithm Multiple similar positions of the same subject object in the spatio-temporal trajectory data are aggregated into the same position to form an object spatio-temporal database; the object spatio-temporal database is filtered based on the type of personnel stay, and the residents and passers-by are extracted, respectively. It is saved as a collection of residents and a collection of passing people, and the collection of residents is updated and saved every day, and the collection of residents calculated every day by statistics constitutes the local actual population database. Compared with the traditional actual population analysis method, the present invention greatly reduces the scale of data, improves the analysis efficiency and accuracy of massive spatio-temporal data, and realizes more accurate and timely automatic analysis of local actual population .

The invention relates to a retrieval method for data objects based on a spatio-temporal database, characterized in that the retrieval method includes the following steps: modeling the management object according to the time state and space state of the object to be managed; The management model of the object sets the specific attributes described by means of natural language of the object to be managed; based on the category of the management model of the managed object and the time attribute and / or spatial attribute described by means of natural language defined by the modeling Retrieval is performed to determine the running state of the managed object. The spatio-temporal database of the present invention describes the data information of production monitoring and management through three periods of history, real-time and planning. Users do not need to master computer language, they only need to use spatio-temporal meta-language to understand the spatio-temporal data of managed objects and understand the spatio-temporal operation status of managed objects, which not only saves computer content but also facilitates management.

The invention discloses a space-time big data grid encoding efficient visualization method and system. The system includes a space-time big data visualization model, a space-time database, an acquisition module, a grid coding module, and a visual field data visualization processing module. The space-time big data visualization The model is constructed with a grid coding index data structure; the spatio-temporal big data visualization model is equipped with a visual domain selection module, and the visual domain data visualization processing module includes a visualization main thread module and a data request sub-thread module. The present invention can select or set the visual domain on the spatio-temporal big data visualization model as required, and the data request sub-thread queries the spatio-temporal data of the corresponding visual domain according to the visual domain coding index data set and transmits it to the visualization main thread for visual expression. It has the advantages of data query, visual expression, and high quality and efficiency of visual loading, which significantly improves the fluency of data loading and visualization.