Visual data processing method of distributed hydraulic system

Abstract

The invention provides a visual data processing method of a distributed hydraulic system. The visual data processing method comprises the following steps of step 1, controlling a plurality of parallel experiment tables through a central server, wherein multiple ways of data signals are generated by each experiment table, caching the data signals, the generation time of the data signals and the equipment type in a local database in a real-time manner, and then uploading the content stored in the local database to the database of the central server through a master/slave mode; step 2, constructing a user interface on a visual interface, managing and searching the data signals in the central server by utilizing the user interface according to the authority, wherein the time is accurate to the second; step 3, constructing a data analysis interface on the visual interface, putting a data analysis process in the second consumer cycle in two producer/consumer cycles so as to take waveform data constructed in the second consumer cycle as an input, carrying out multifunctional data analysis while searching data, and uploading an analysis result to the central server.

Description

technical field [0001] The invention belongs to the field of hydraulic system data management, in particular to a visual data processing method of a distributed hydraulic system. Background technique [0002] Hydraulic systems are widely used in modern production, comprehensive data management plays a pivotal role in hydraulic system testing and system debugging, and data storage, query and data analysis functions are indispensable core parts of the data management system. Faced with massive data records, it is difficult for staff to comprehensively process and analyze macroscopically, and cannot make full use of the value of test data. The comprehensive data management system with strong operability, flexible application, fast and convenient, and complete functions is more and more favored by users in the industry. [0003] As the functions of the hydraulic system continue to increase, the amount of data collected and stored increases day by day, but the database server is...

AI Technical Summary

Problems solved by technology

In the process of realizing the present invention, the inventor found that when the user's working environment is far away from the server or the network is slow, the data storage and query speed cannot be guaranteed, and it is easy to cause data loss; The data will be stored in multiple records automatically, and the time will be repeated N times during the query. If you do not filter the repeated time and directly query the data according to the time period required by the user, each data record under the same time will be repeated. There are N times, which makes the query confusing and affects the user to summarize the system operation rules through data analysis; when the query speed is faster than the data analysis, if the queried data is directly analyzed, it will easily cause data accumulation and data loss; the time range of user query In large cases, if query time, query data, and data analysis cannot be performed simultaneously, work efficiency will be greatly reduced

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