35 results about "Spatiotemporal database" patented technology

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.

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 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.