Efficient actuator for intelligent scheduling data acquisition and automatic data source monitoring

Through intelligent scheduling and automated monitoring, combined with linear regression algorithm, the rapid matching of data sources and databases and the integration of multiple executors is achieved, which solves the problems of inefficient and insufficient adaptability of traditional data acquisition methods, and improves data acquisition and Processing efficiency and accuracy.

CN119248743AInactive Publication Date: 2025-01-03CICHUAN KAIWU INFORMATION TECH CO LTD
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Patent Information

Application Number
CN202411063054.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-08-05
Publication Date
2025-01-03
Estimated Expiration
Not applicable · inactive patent

AI Technical Summary

Technical Problem

Traditional data acquisition and processing methods rely on manual configuration, are inefficient and error-prone, and lack the functions of multi-source executors and the integrated support of multiple executors, so they cannot adapt to different types of data sources.

Method used

Design an efficient executor for intelligent scheduling data acquisition and automated data source monitoring. By automatically monitoring data sources, retrieving configuration files, adapting to the most suitable executor, integrating multiple executors, and dynamic adjustments are achieved using linear regression algorithms. Quick matching of data sources and databases and the satisfaction of multiple operational needs.

Benefits of technology

No manual configuration is required, it solves the problems of cumbersome operations, mismatch, and mismatch, improves database selection and matching efficiency, realizes intelligent adaptation of different types of data sources and integration of multiple actuators, and the adaptation process is more intelligent and accurate. .

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Abstract

The invention discloses an efficient actuator for intelligent scheduling data acquisition and automatic data source monitoring, which comprises the following steps of: monitoring a data source, retrieving configuration files of various databases in a server configuration file directory, retrieving the databases deployed on a server, and taking the databases as a to-be-connected data source connection pool; adapting the actuator according to the type of the database; according to the efficient actuator for intelligent scheduling data acquisition and automatic data source monitoring, the data source is automatically monitored, manual configuration and filling are not needed, and the problems of tedious operation, mismatching and missed matching are solved. And for different types of data sources, the most suitable executors can be intelligently adapted, multiple executors are integrated, and the problem that the single executor cannot meet the adaptation requirement is solved.
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Description

Technical Field

[0001] The present invention relates to the field of database technology, and in particular to a high-efficiency executor for intelligent scheduling data collection and automatic data source monitoring. Background Art

[0002] With the advent of the big data era, the demand for data collection, processing and analysis is growing. Traditional data collection and processing methods often rely on manual configuration and manual operation, which are inefficient and prone to errors, and have poor compatibility: they lack the function of supporting multi-source actuators and do not support the integration of multiple actuators. Summary of the invention

[0003] In order to solve the deficiencies in the prior art, the present invention provides an efficient executor for intelligent scheduling data collection and automatic data source monitoring. The efficient executor for intelligent scheduling data collection and automatic data source monitoring automatically monitors the data source without manual configuration and filling, solving the problems of cumbersome operation, mismatching, and missing matching. For different types of data sources, the most suitable executor can be intelligently adapted, and multiple executors can be integrated to solve the problem that a single executor cannot meet the adaptation requirements.

[0004] To achieve the above object, the present invention adopts the following technical solution:

[0005] The present invention provides an efficient executor for intelligent scheduling data collection and automatic data source monitoring, comprising the following steps:

[0006] Monitor the data source, retrieve the configuration files of various databases in the server configuration file directory, retrieve the database deployed on the server, and use it as the data source connection pool to be connected;

[0007] Adapt the executor according to the type of database;

[0008] Use adapted actuators for data collection and processing.

[0009] The efficient executor of intelligent scheduling data collection and automatic data source monitoring of the present invention first establishes a link relationship between the data source and the database, so as to quickly and automatically match the corresponding database according to the monitored data source. When the database is determined, the corresponding executor is adapted from the integrated multiple executors, thereby greatly improving the efficiency of database selection. At the same time, the integrated multiple executors can also meet the operation needs of multiple data sources. The established data source link pool can easily match the data source with the database, greatly improving the efficiency of database matching.

[0010] The efficient actuator for intelligent scheduling data collection and automatic data source monitoring of the present invention automatically monitors the data source, eliminating the need for manual configuration and filling, thus solving the problems of cumbersome operation, mismatching, and missing matching. The most suitable actuator can be intelligently adapted to different types of data sources, integrating multiple actuators to solve the problem that a single actuator cannot meet the adaptation requirements.

[0011] In a further technical solution, the following steps are also included:

[0012] When adapting the actuator, it receives the specified actuator command, calls the specified actuator to collect and process data, and records the specified actuator command.

[0013] A manual adaptation function is added during the adaptation stage of the actuator to meet the operational requirements of the specified actuator and make the functions more diversified.

[0014] In a further technical solution, when adapting the actuator, the most suitable actuator is obtained by using a linear regression algorithm based on historically specified actuator instructions.

[0015] Based on historical instructions and linear regression algorithms, the adapted actuator is adjusted, that is, the basis for dynamic adjustment of the adapted actuator is retained, and the adaptation process is more intelligent and accurate.

[0016] The beneficial effects are:

[0017] 1. The efficient actuator for intelligent scheduling data collection and automatic data source monitoring of the present invention automatically monitors the data source, eliminating the need for manual configuration and filling, thus solving the problems of cumbersome operation, mismatching, and missing matching. The most suitable actuator can be intelligently adapted to different types of data sources, and multiple actuators can be integrated to solve the problem that a single actuator cannot meet the adaptation requirements.

[0018] 2. A manual adaptation function is added during the adaptation stage of the actuator to meet the operational requirements of the specified actuator and provide more diversified functions.

[0019] 3. Based on historical instructions and linear regression algorithm, the adapted actuator is adjusted, that is, the basis for dynamic adjustment of the adapted actuator is retained, and the adaptation process is more intelligent and accurate. DETAILED DESCRIPTION

[0020] The present invention will be further described below:

[0021] Example:

[0022] An efficient executor for intelligent scheduling data collection and automated data source monitoring includes the following steps:

[0023] Monitor the data source, retrieve the configuration files of various databases in the server configuration file directory, retrieve the database deployed on the server, and use it as the data source connection pool to be connected;

[0024] Adapt the executor according to the type of database;

[0025] Use adapted actuators for data collection and processing.

[0026] The efficient executor of intelligent scheduling data collection and automatic data source monitoring of the present invention first establishes a link relationship between the data source and the database, so as to quickly and automatically match the corresponding database according to the monitored data source. When the database is determined, the corresponding executor is adapted from the integrated multiple executors, thereby greatly improving the efficiency of database selection. At the same time, the integrated multiple executors can also meet the operation needs of multiple data sources. The established data source link pool can easily match the data source with the database, greatly improving the efficiency of database matching.

[0027] The efficient actuator for intelligent scheduling data collection and automatic data source monitoring of the present invention automatically monitors the data source, eliminating the need for manual configuration and filling, thus solving the problems of cumbersome operation, mismatching, and missing matching. The most suitable actuator can be intelligently adapted to different types of data sources, integrating multiple actuators to solve the problem that a single actuator cannot meet the adaptation requirements.

[0028] In another embodiment, the following steps are also included:

[0029] When adapting the actuator, it receives the specified actuator command, calls the specified actuator to collect and process data, and records the specified actuator command.

[0030] A manual adaptation function is added during the adaptation stage of the actuator to meet the operational requirements of the specified actuator and make the functions more diversified.

[0031] In another embodiment, when adapting the actuator, the most suitable actuator is obtained by using a linear regression algorithm based on historically specified actuator instructions.

[0032] Based on historical instructions and linear regression algorithms, the adapted actuator is adjusted, that is, the basis for dynamic adjustment of the adapted actuator is retained, and the adaptation process is more intelligent and accurate.

[0033] The above shows and describes the basic principles, main features and advantages of the present invention. Those skilled in the art should understand that the present invention is not limited to the above embodiments, and the above embodiments and descriptions are only for explaining the principles of the present invention. Without departing from the spirit and scope of the present invention, the present invention may have various changes and improvements, and these changes and improvements all fall within the scope of the present invention to be protected.

Claims

1. An efficient executor for intelligent scheduling data collection and automated data source monitoring, characterized in that: The following steps are involved: Monitor the data source, retrieve the configuration files of various databases in the server configuration file directory, retrieve the database deployed on the server, and use it as the data source connection pool to be connected; Adapt the executor according to the type of database; Use adapted actuators for data collection and processing.

2. The efficient executor for intelligent scheduling data collection and automated data source monitoring according to claim 1 is characterized in that: The following steps are also included: When adapting the actuator, it receives the specified actuator command, calls the specified actuator to collect and process data, and records the specified actuator command.

3. The efficient executor for intelligent scheduling data collection and automated data source monitoring according to claim 2 is characterized in that: When adapting the actuator, the most suitable actuator is obtained by using the linear regression algorithm based on the historically specified actuator instructions.