CN-122022714-A - Automatic quality monitoring system for coal mine data and electronic equipment

CN122022714ACN 122022714 ACN122022714 ACN 122022714ACN-122022714-A

Abstract

The application provides an automatic quality monitoring system for coal mine data and electronic equipment, wherein the automatic quality monitoring system comprises a data access module, a characteristic extraction module, a rule generation module, a monitoring module and an optimizing module, wherein the data access module is used for receiving an operation data packet transmitted by the coal mine equipment and analyzing the operation data packet to obtain operation data in the operation data packet, the characteristic extraction module is used for extracting characteristics of the operation data, the rule generation module is used for determining corresponding quality monitoring rules for the characteristic data according to a preset coal mine related knowledge base, the monitoring module is used for analyzing the characteristic data to determine whether the coal mine data is abnormal or not, and the optimizing module is used for optimizing the monitoring rules according to an evaluation result. Through multi-dimensional feature extraction, quality monitoring rules generated based on knowledge graphs and comprehensive monitoring analysis, the detection rate of abnormal data is effectively improved, and the accuracy of data quality monitoring is improved. The quality monitoring rule can be dynamically optimized according to the actual monitoring condition, so that the system can keep a good monitoring effect.

Inventors

SU SHANGHAI
ZHANG JIANZHONG
CHEN LONG
WANG HAILI
ZHANG XIUSHAN
GUO JUN

Assignees

煤炭科学研究总院有限公司
天地科技股份有限公司北京煤炭共性技术研究分公司

Dates

Publication Date: 20260512
Application Date: 20251224

Claims (8)

1. The coal mine data automatic quality monitoring system is characterized by comprising a data access module, a characteristic extraction module, a rule generation module, a monitoring module and an optimization module; The data access module is used for receiving an operation data packet transmitted by coal mine equipment and analyzing the operation data packet to obtain operation data in the operation data packet; The feature extraction module is used for carrying out feature extraction on the operation data to obtain feature data; the rule generation module is used for determining a corresponding quality monitoring rule according to a preset coal mine related knowledge base and aiming at the characteristic data; The monitoring module is used for analyzing the characteristic data according to the monitoring rule and determining whether the coal mine data are abnormal or not; and the optimizing module is used for evaluating the monitoring rule to obtain an evaluation result, and optimizing the monitoring rule according to the evaluation result.
2. The system of claim 1, wherein the data access module comprises: the protocol analysis sub-module is used for analyzing the operation data packet according to the industrial protocol corresponding to the operation data packet; the preprocessing sub-module is used for cleaning the operation data obtained after analysis; and the data compression sub-module is used for carrying out time stamp alignment and data compression on the cleaned operation data.
3. The system of claim 1, wherein the feature extraction module comprises: the space-time characteristic extraction sub-module is used for carrying out space characteristic extraction or time characteristic extraction on the operation data according to the acquisition position or the acquisition time of the operation data; and the service characteristic extraction sub-module is used for carrying out characteristic extraction on the operation data according to a preset service rule to obtain service characteristics.
4. The system of claim 3, wherein the business feature extraction submodule comprises: and the natural language processing unit is used for extracting the characteristics of unstructured data in the service data to obtain the service characteristics.
5. The system of claim 1, wherein the rule generation module comprises: The knowledge graph spectrum sub-module is used for storing a knowledge graph, and the knowledge graph is generated based on a structured equipment parameter library, production flow data, unstructured safety procedure documents and an equipment operation and maintenance manual; The retrieval sub-module is used for retrieving knowledge segments related to the service data from the knowledge graph; and the rule generation sub-module is used for generating a quality monitoring rule according to the knowledge segments related to the service data and aiming at maximizing the abnormal detection rate and minimizing the false alarm rate.
6. The system of claim 1, wherein the monitoring module comprises: a basic quality checking sub-module for determining the integrity, the uniqueness and the format normalization of the service data; The correlation verification sub-module is used for determining the data consistency among the business data of different categories according to the quality monitoring rule; and the prediction verification sub-module is used for carrying out data prediction according to the service data and carrying out exception analysis on the obtained prediction data to obtain exception grades.
7. The system of claim 6, wherein the optimization module comprises: the evaluation sub-module is used for determining an evaluation result according to the proportion of the type of the coal mine core data covered by the quality monitoring rule, the proportion of the actual abnormality of the quality monitoring to the alarm number and the time from the effective time to the abnormal time detection of the quality monitoring rule; And the optimizing sub-module is used for optimizing the quality monitoring rule under the condition that the evaluation result is lower than a preset threshold value.
8. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the system of any of the preceding claims 1-7 when executing the program.

Description

Automatic quality monitoring system for coal mine data and electronic equipment Technical Field The application relates to the technical field of coal mine data management, in particular to an automatic quality monitoring system for coal mine data and electronic equipment. Background The coal mine data has wide and complex sources, covers various types of underground sensor real-time data, equipment running logs, production scheduling records, safety monitoring data and the like, and has the characteristics of huge data volume, strong dynamic property and various formats. In the prior art, the coal mine data quality monitoring is dependent on manual preset rules or static check models, and has obvious limitations. On one hand, manual configuration rules are required to depend on the deep understanding of professionals on coal mine business, the rule making period is long, the cost is high, and all data abnormal scenes are difficult to cover, on the other hand, a static verification model cannot adapt to the dynamic characteristics of coal mine data distribution along with the change of production stages and equipment states, and when the data characteristics drift, the monitoring precision is obviously reduced. In addition, the existing monitoring mode is used for carrying out isolation verification on a single data source, analysis on the association relation among multiple sources of data is lacking, so that quality problems caused by abnormal data association are difficult to identify, manual intervention adjustment rules are needed after abnormal detection, and response is delayed from actual production requirements. Disclosure of Invention The present application aims to solve at least one of the technical problems in the related art to some extent. Therefore, the application provides a system and electronic equipment. In one aspect, an embodiment of the present application provides a coal mine data automation quality monitoring system, including: the system comprises a data access module, a characteristic extraction module, a rule generation module, a monitoring module and an optimization module; The data access module is used for receiving an operation data packet transmitted by coal mine equipment and analyzing the operation data packet to obtain operation data in the operation data packet; The feature extraction module is used for carrying out feature extraction on the operation data to obtain feature data; the rule generation module is used for determining a corresponding quality monitoring rule according to a preset coal mine related knowledge base and aiming at the characteristic data; The monitoring module is used for analyzing the characteristic data according to the monitoring rule and determining whether the coal mine data are abnormal or not; and the optimizing module is used for evaluating the monitoring rule to obtain an evaluation result, and optimizing the monitoring rule according to the evaluation result. Optionally, the data access module includes: the protocol analysis sub-module is used for analyzing the operation data packet according to the industrial protocol corresponding to the operation data packet; the preprocessing sub-module is used for cleaning the operation data obtained after analysis; and the data compression sub-module is used for carrying out time stamp alignment and data compression on the cleaned operation data. Optionally, the feature extraction module includes: the space-time characteristic extraction sub-module is used for carrying out space characteristic extraction or time characteristic extraction on the operation data according to the acquisition position or the acquisition time of the operation data; and the service characteristic extraction sub-module is used for carrying out characteristic extraction on the operation data according to a preset service rule to obtain service characteristics. Optionally, the service feature extraction submodule includes: and the natural language processing unit is used for extracting the characteristics of unstructured data in the service data to obtain the service characteristics. Optionally, the rule generating module includes: The knowledge graph spectrum sub-module is used for storing a knowledge graph, and the knowledge graph is generated based on a structured equipment parameter library, production flow data, unstructured safety procedure documents and an equipment operation and maintenance manual; The retrieval sub-module is used for retrieving knowledge segments related to the service data from the knowledge graph; and the rule generation sub-module is used for generating a quality monitoring rule according to the knowledge segments related to the service data and aiming at maximizing the abnormal detection rate and minimizing the false alarm rate. Optionally, the monitoring module includes: a basic quality checking sub-module for determining the integrity, the uniqueness and the format normalization of the service