8results about How to "Reduce queries" patented technology

The invention provides a meteorological data rendering method and system, a storage medium and electronic equipment. The method comprises the following steps: storing collected meteorological data through an Elasticsearch database; performing conversion processing on the meteorological data based on wind field UV data and a preset threshold value to obtain conversion data; performing slicing processing on the conversion data to generate grey-scale map slices; and rendering the grey-scale map slices in a WebGL mode of a browser to realize animation display of the meteorological data. According to the method, rendering is quicker, rendering bottleneck does not exist, gpu-based data real-time interpolation is easier to realize, and the data is smoother in a time sequence animation instead of a carousel graph form. Therefore, the data granularity can be reduced, the query and return of redundant data can be reduced, the data processing efficiency can be improved, and the technical problems of lagging and delay during dynamic rendering display of the meteorological data can be effectively solved.

The invention relates to the technical field of intelligent building elevator control, in particular to an off-line elevator calling control method based on edge service, comprising an elevator control system with cloud center service and local edge service, the off-line elevator calling control method comprises the following steps: S1, a user initiates an elevator calling request, s2, when the elevator control system is disconnected from the cloud center service, the working mode is switched to an offline mode; s3, the elevator control system carries out local right judgment; s4, the elevator control system inquires the authority information through the local edge service and verifies whether the user has the authority to access the target floor in combination with the floor information of the local database, and S5, the elevator control system determines the elevator calling type according to the elevator calling request and finally executes the elevator calling operation according to the elevator calling type. According to the invention, when the central service is not available, elevator operation such as elevator calling can still be completed, and normal use of the elevator system is ensured.

The application discloses an information processing method and device, electronic equipment and a computer readable medium, and relates to the technical field of mobile terminals. The method comprises the following steps: acquiring to-be-queried content and a plurality of first key information corresponding to the to-be-queried content; acquiring a historical query record, wherein the historical query record comprises at least one historical query content, each historical query content is corresponding to at least one second key information and a historical query result corresponding to the second key information; in the historical query record, finding the second key information matched with the first key information as target key information; and querying the reply content corresponding to the to-be-queried content based on the historical query result corresponding to the target key information and other key information. Therefore, the application can find the query result corresponding to part of the key information of the to-be-queried content in the historical query record, can reduce the query of part of the key information, and improves the query efficiency.

The invention provides an intelligent assistant system which comprises a subclass assistant module used for displaying all event classes and providing a question classification query function and a subclass backfilling function during event registration; the intelligent recommendation module is used for recommending related event processing rules according to the details of the current event; the repeated event identification module is used for carrying out identification according to a preset repeated event judgment rule, automatically prompting possibly repeated events, allowing to check processing details of the possibly repeated events, and labeling the identified repeated events with repeated event labels; and the associated event identification module is used for automatically prompting possibly associated events according to the associated event judgment rule and allowing to check the processing details of the associated events. According to the invention, the problem of difficult dispatching caused by unclear manual event classification in event management is solved, and the technical problems of unintelligent recommendation, difficult identification of repeated events and associated events and low efficiency of an existing assistant system are solved.

The invention is suitable for the technical field of power systems, and provides a real-time library downloading method, an updating method, a device and a computer program product.The real-time library downloading method comprises the steps that when a power grid dispatching system is started, real-time library downloading service is operated, a preset real-time library instruction is obtained from a relation library, the real-time library instruction is analyzed, and the real-time library downloading service is updated according to the real-time library instruction; and obtaining target power grid model data, and importing the target power grid model data into a real-time library. Therefore, the delay of data query and processing is reduced, and the power grid dispatching system can respond to the change of the power grid state more quickly.

The present invention provides a data sharing system and a control method thereof, comprising a shared memory management module, wherein the shared memory management module comprises a resource management pool, wherein a plurality of shared memory management nodes for allocating shared memory are arranged in the resource management pool; an index corresponding to the shared memory management node is transmitted to a second application program through a first application program, and the second application program generates a file descriptor through the index; the second application program can directly access the shared memory corresponding to the shared memory information after creating a mapping through the generated file descriptor, and can also transmit the generated file descriptor to a driver program, so that the driver program uses the shared memory corresponding to the shared memory information through the acquired shared memory information, thereby realizing memory sharing between multiple processes and a driver module by using the file descriptor.

This invention discloses an indicator attribution analysis method based on expression tree decomposition and adaptive drill-down. The method includes: parsing the calculation expression of the target indicator to generate an operator tree; obtaining base period and current period dimension-grouped indicator data, and calculating the total change of the target indicator at the root node of the operator tree; calling the corresponding decomposition rules according to the operator type of each internal node, completing the operator decomposition layer by layer from the root node, satisfying the change conservation constraint throughout the process, and obtaining the attribution contribution of each dimension value in the current layer; calculating the attribution gain of a single dimension path, and generating drill-down or stop decisions for each path after independently comparing it with a preset threshold; continuing to drill down and repeating the calculation process for paths that meet the gain threshold, and stopping drill-down for paths that do not meet the threshold, finally generating an asymmetric attribution tree with differentiated branch depths, and outputting a structured attribution report. This invention can achieve accurate and verifiable indicator attribution, and balances analytical accuracy and computational efficiency through an adaptive drill-down mechanism.

This invention relates to an artificial intelligence-based method, apparatus, and storage medium for processing power resources, belonging to the technical field of data processing. The method includes: acquiring first electricity consumption data of a first user in a first time period; inputting the first electricity consumption data into a preset artificial intelligence network model to generate and store a first feature image of the first time period; when the first user sends a request to compare the first electricity consumption of a second time period with the first electricity consumption of the first time period, obtaining a first comparison result reflecting the color difference between the first time period and the second time period based on a pre-stored second feature image of the second time period and the first feature image; and sending the first comparison result to the first user; wherein the first comparison result is used to display to the first user.