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3results about How to "Reduce queries" patented technology

Off-line elevator calling control method based on edge service

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.
Owner:SHENZHEN DAS IOT TECH CO LTD

Information processing method and device, electronic equipment and computer readable medium

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.
Owner:BEIJING OPPO TELECOMM CORP LTD

Expression tree decomposition-based and adaptive down-drilling index attribution analysis method

PendingCN122796298AFully reproducibleEliminate error in results
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.
Owner:联通数智医疗科技有限公司