10 results about "Temporal database" patented technology

The invention relates to the technical field of data processing, in particular to an offshore wind power plant site selection decision method and system based on multi-source data fusion. According to the method, through the steps of multi-source time-space database construction, constraint condition preliminary screening, industrial fusion suitability quantitative evaluation and the like, compared with a traditional single-energy-oriented site selection method, the problem that in the prior art, the accuracy of offshore wind plant site selection is not high can be practically solved; and a decision-making system comprising a database construction module, a candidate wind power plant site selection screening module and an offshore wind power plant site selection module is constructed, so that efficient, collaborative and sustainable transformation of offshore wind power development is promoted.

A method for intelligent query plan cache size management can be implemented. During the execution of multiple input queries in a database management system, this method measures the actual compilation time for generating query execution plans for the multiple input queries. The database management system may have a query execution plan cache, the size of which can store at least some query execution plans. This method monitors the difference between the actual compilation time and the ideal compilation time for generating query execution plans for the multiple input queries. The ideal compilation time can be estimated by assuming no query execution plans are evicted from the query execution plan cache. The method can adjust the size of the query execution plan cache based on the monitored difference.

The application provides a desulfurization system automatic slurry supply method and system, and belongs to the technical field of desulfurization. The method comprises the following steps: fitting a mathematical calculation model based on a previously established time database; wherein the time database is established based on boiler desulfurization operation data; obtaining desulfurization slurry supply parameters by using the mathematical calculation model based on the time database; wherein the desulfurization slurry supply parameters comprise limestone slurry supply amount of an absorption tower, absorption tower pH prediction value and slurry supply adjusting door opening degree; precise automatic slurry supply of the absorption tower, accurate absorption tower slurry pH control and accurate absorption tower slurry pH prediction are realized through the mathematical calculation model, which can effectively solve the problem that automatic slurry supply of the absorption tower is generally difficult to realize, thereby realizing automatic slurry supply of the absorption tower, improving the automation degree of the desulfurization device and reducing the workload of the operation personnel. Based on the desulfurization slurry supply parameters, a slurry supply control scheme is generated and executed. Accurate absorption tower slurry pH prediction is realized, and the reliability of the desulfurization system operation is improved.

This invention relates to the field of data processing. To address the problem of low efficiency in relational queries after database sharding and table partitioning, it provides a fast query method for tree-like relationships in massive code data. The code association table pre-stores all ancestor-descendant relationships, and the reverse linked list pre-stores the complete path, eliminating the need for recursion or multiple joins during queries. The partition key ensures that all queries are executed within a single shard, resulting in single code queries ≤20ms, tree queries ≤2 times, and query times ≤50ms for database access, improving performance by tens of times compared to traditional recursive queries.

This invention discloses a stress-displacement intelligent early warning method for roof disasters, relating to the field of coal mine engineering safety and support technology. The method includes: first, establishing stress-time and displacement-time databases based on the relationship between stress and time in roof delamination and the relationship between displacement and time in roof delamination, with four early warning modules set up in each database; then, collecting stress-time and displacement-time data in real time using sensors and transmitting the collected data to corresponding data processors; after processing the data by the data processors, uploading it to the stress-time and displacement-time databases, dynamically matching it with the four early warning modules in each database, and then generating an early warning signal for issuance. This invention follows the principle of stress-displacement synchronization, significantly improving the accuracy of early warning through dual monitoring methods and comprehensive monitoring of roof delamination stress and displacement.

The application belongs to the technical field of production planning and scheduling system, and discloses a production planning and scheduling method and system; the method comprises the following steps: obtaining process capacity data of each machine tool and process demand data of each order; based on the process capacity data and the process demand data, a process matching degree matrix of each machine tool to each order is calculated; based on the process matching degree matrix, the orders are distributed to each machine tool; based on a pre-collected basic changeover time database, the process capacity data and the process demand data, a changeover time matrix of changeover time between any two orders of each machine tool is generated; based on the changeover time matrix of each machine tool, the order sequence on each machine tool is optimized, the total changeover time is minimized, and a final order distribution table is obtained; the overall changeover total time length is accurately evaluated and minimized, the machine tool utilization rate and the production capacity are significantly improved under the production mode of multiple varieties and small batches, the delivery cycle is shortened, and the planning and execution deviation is reduced.

The invention belongs to the technical field of AR payment security, and provides an AR payment system based on dynamic voiceprint recognition, which comprises the steps of determining a high-risk verification group in a verification data group according to historical verification data of the AR payment system based on dynamic voiceprint recognition, analyzing verification misjudgment of the high-risk verification group and verification time deviation of verification passing, and determining whether the high-risk verification group passes the verification time deviation or not. Whether the difference degree is obvious or not is judged, if the difference degree is obvious, the fluctuation of verification time during verification misjudgment is analyzed, a verification misjudgment time sequence group or a verification misjudgment database is determined according to the fluctuation, and an actual payment time group is obtained in next actual payment; the actual payment time is compared with the verification misjudgment time sequence group or the verification misjudgment time database, the misjudgment risk in the next actual payment is determined, and if the misjudgment risk is large, secondary verification confirmation is carried out through real-time scene gesture verification, so that the misjudgment risk in AR payment of dynamic voiceprint recognition can be reduced.

The present application relates to the technical field of data processing, and more particularly to a method and system for offshore wind farm site selection based on multi-source data fusion; the method can effectively solve the problem of low accuracy of offshore wind farm site selection in the prior art by constructing a multi-source spatio-temporal database, performing initial screening based on constraint conditions, and performing quantitative evaluation of industrial integration suitability, compared with the traditional single energy-oriented site selection method. A decision system including a database construction module, a candidate wind farm site selection screening module, and an offshore wind farm site selection module is constructed to promote the transformation of offshore wind power development towards high efficiency, synergy and sustainability.

The invention discloses an intelligent construction management system and method for hydroelectric and hydraulic engineering, and relates to the technical field of intelligent construction. The system comprises a perception acquisition layer, a data transmission layer and a platform application layer which are arranged in sequence, the platform application layer comprises a linkage analysis early warning module and a decision instruction generation module, the linkage analysis early warning module is used for predicting warehouse surface feeding continuity according to mixing process data and transportation process data so as to realize collaborative early warning, and the decision instruction generation module is used for generating decision instructions. The rolling process data extraction module is used for extracting rolling process data, extracting rolling parameters according to the rolling process data, and comparing the rolling parameters with rolling standards in a process parameter standard library so as to realize real-time early warning of the rolling process, and the decision instruction generation module is used for extracting lower-layer paving completion timestamps according to the rolling process data; and according to the time difference between the current timestamp and the timestamp and the initial setting and final setting time database, a construction process instruction for the interlayer joint surface is automatically judged and generated, so that the engineering quality and the construction efficiency can be remarkably improved.

The invention discloses a light truck man-hour automatic generation method and device, equipment and a storage medium. The method comprises the steps that a reference time database is constructed through a preset reference time setting standard, a process time man-hour library is constructed according to a preset process time setting standard, and an adjustment time database is constructed according to a preset adjustment man-hour setting standard; the whole vehicle data list is extracted from the production preparation notice, matched whole vehicle reference working hours, target process time and target adjustment time are obtained, and the whole vehicle actual working hours are determined according to the whole vehicle reference working hours, the target process time and the target adjustment time. The calculation data deviation of the vehicle type development reference time and the process time is reduced, manpower and material resources are saved, the calculation efficiency is improved, the whole vehicle research and development progress is accelerated, the production efficiency is improved, the man-hour calculation verification efficiency is improved, the man-hour accuracy is guaranteed to a great extent, and the light truck man-hour automatic generation speed and efficiency are improved.