CN-122022127-A - Multi-system fusion production operation management and control method, device, equipment and storage medium

CN122022127ACN 122022127 ACN122022127 ACN 122022127ACN-122022127-A

Abstract

The invention belongs to the technical field of coal production operation management, and particularly relates to a multi-system integrated production operation management and control method, device, equipment and storage medium, which are mainly used for solving the problems of information island, production scheduling dependence experience, lack of predictability of equipment maintenance, safety monitoring lag and the like caused by independent operation of multiple systems in coal machinery production. According to the method, through integrating MOM, CAPP, ERP, WMS, SRM, QMS, OA and other multi-system real-time data through an API interface, after cleaning and standardization processing, a production running state model is utilized to analyze the production state and predict faults and risks, further production resources are dynamically scheduled based on an optimization algorithm, key indexes and environmental parameters are monitored in real time, potential safety hazards are automatically early warned, and a decision analysis report is generated. The invention realizes the fusion and penetration of production data and intelligent analysis, can obviously improve the production efficiency, reduce the equipment failure rate, enhance the safety prevention and control capability, and provide real-time and accurate data support for management decisions.

Inventors

WANG YICHAO
JING ZHIFENG
WU TONG
CHENG YONGLIN
FENG JIE
CUI HAIHANG
LIU HAO
HUANG ZHENHUA
MA LIANWEI
JIN JIAN
JI CHAO
LI JINGJING
Hao changchun
YU LIYANG
SHI XIN

Assignees

山西天地煤机装备有限公司
中国煤炭科工集团太原研究院有限公司

Dates

Publication Date: 20260512
Application Date: 20251229

Claims (7)

1. A multi-system fusion production operation control method, the method comprising: The method comprises the following steps of S1, data integration, wherein real-time data are acquired from a plurality of mutually independent production systems through an API interface and are transmitted to a unified data platform for standardized integration, and the production systems at least comprise two or more of a production manufacturing operation management system, a computer-aided process design system, an enterprise resource planning system, a warehouse management system, a supplier relation management system, a quality management system and an office automation platform; S2, performing cleaning, de-duplication and normalization on real-time data integrated in the data platform to obtain standardized data; s3, analyzing and predicting the production running state by utilizing a preset algorithm model based on the standardized data, constructing and iterating a production running state model according to the analysis result to obtain production running state information, and generating risk early warning information; s4, scheduling optimization, namely dynamically adjusting the configuration schemes of a production plan, equipment resources and human resources through an optimization algorithm based on the production running state information and the risk early warning information to generate an initial scheduling scheme; S5, monitoring production key performance indexes and the running state of equipment controlled by a production system in real time through a visual interface of the data platform, and adjusting a current production plan and an initial scheduling scheme in real time according to monitoring results; And S6, a decision support step, namely generating a comprehensive operation analysis report based on the data processing process and the result of the data platform in the steps S1-S5, and providing decision support for a management layer.
2. The method for managing and controlling a multisystem fusion production operation according to claim 1, wherein the step of S3 analysis and prediction further comprises: and monitoring environmental parameters of the production operation environment in real time, and carrying out association analysis on the environmental parameters and the production operation state information so as to automatically detect potential safety hazards and trigger early warning signals.
3. The multi-system fusion production operation control method according to claim 1, further comprising: And predicting the fault trend of equipment controlled by the production system according to the production running state model, automatically generating a predictive maintenance plan according to a prediction result, and triggering maintenance resource scheduling.
4. The multi-system fusion production operation control method according to claim 1, wherein the comprehensive operation analysis report shows at least production progress, equipment real-time status, risk early warning distribution and resource utilization rate in a form of a graph.
5. A multisystem fusion production operation control device for executing a multisystem fusion production operation control method according to any one of claims 1 to 4, comprising: The system comprises a data integration module, a data processing module and a data processing module, wherein the data integration module is used for acquiring real-time data from a plurality of mutually independent production systems through an API (application program interface) interface and transmitting the real-time data to a unified data platform for standardized integration, and the production systems at least comprise two or more of a production manufacturing operation management system, a computer-aided process design system, an enterprise resource planning system, a warehouse management system, a supplier relation management system, a quality management system and an office automation platform; The data processing module is used for carrying out cleaning, de-duplication and standardization processing on the real-time data integrated in the data platform to obtain standardized data; the analysis and prediction module is used for analyzing the production running state by utilizing a preset algorithm model based on the standardized data, constructing and iterating the production running state model according to the analysis result to obtain production running state information, and generating risk early warning information at the same time; The scheduling optimization module is used for dynamically adjusting the configuration schemes of the production plan, the equipment resources and the human resources through an optimization algorithm based on the production running state information and the risk early warning information to generate an initial scheduling scheme; The real-time monitoring and feedback module is used for monitoring the production key performance index and the running state of equipment controlled by the production system in real time through a visual interface of the data platform, and adjusting the current production plan and the initial scheduling scheme in real time according to the monitoring result; and the decision support module is used for generating a comprehensive operation analysis report and providing decision support for a management layer.
6. A computer device, comprising: A memory and a processor, the memory and the processor are in communication connection, the memory stores computer instructions, and the processor executes the computer instructions, thereby executing a multi-system fusion production operation management method according to any one of claims 1 to 4.
7. A computer-readable storage medium having stored thereon computer instructions for causing a computer to perform a multi-system fusion production operation management method according to any one of claims 1 to 4.

Description

Multi-system fusion production operation management and control method, device, equipment and storage medium Technical Field The invention relates to the technical field of enterprise information management, in particular to a multi-system fusion production operation management and control method, a device, equipment and a storage medium. Background The coal industry is used as an important pillar industry in the national energy field, and the high efficiency, safety and stability of production and operation are directly related to the economic benefit of mining areas and the national energy safety. In the coal production process, various key equipment (such as mining equipment, transportation equipment, lifting equipment, ventilation equipment and the like) play a vital role in links of exploitation, transportation, processing and the like. However, with the advancement of the modern process of the industry, the data acquisition technology in the traditional production workshop is difficult to adapt to the rapidly changing market demand, and the problems of data record lag, difficulty in real-time monitoring and the like generally exist, so that the production efficiency of the workshop is low and the product quality is difficult to guarantee. In the global informatization era background, the informatization management in enterprises can effectively promote the development of economy. In current coal machine production operation management, a plurality of independent information systems are commonly employed, including a production Manufacturing Operation Management (MOM) system, a computer aided process design (CAPP) system, an Enterprise Resource Planning (ERP) system, a Warehouse Management (WMS) system, a vendor relationship management (SRM) system, a Quality Management (QMS) system, and an office automation platform (OA), etc. These systems usually run independently, lack effective data exchange and fusion mechanisms, form "information islands", and result in insufficient flow and sharing of production data, thereby affecting unified optimization and collaborative operation of production scheduling, operation decision-making and safety management. In addition, the existing production scheduling mainly depends on manual experience and fixed plans, and is difficult to deal with complex production environments and emergency situations, so that the problems of uneven resource allocation, overload of equipment and the like are caused. The equipment maintenance management is still mainly checked regularly, lacks predictive maintenance mechanism based on data, and equipment faults can not be early warned in advance, so that the production continuity and the equipment availability are seriously affected. In the aspect of information transmission, many enterprises still use paper documents to record and circulate process data and quality data, and potential safety hazards such as easy information leakage, easy tampering, high management cost and the like exist. Meanwhile, the production quality monitoring and safety management system is not perfect, and the problems of inaccurate control of key working procedures, lag of early warning mechanism, insufficient emergency response and the like are still outstanding. Therefore, in order to improve the overall efficiency, equipment utilization rate and safety level of the coal machine production, a novel production operation management and control method capable of integrating multi-system data, realizing intelligent monitoring, optimal scheduling, predictive maintenance and safety cooperation is needed so as to promote the transformation of the coal industry to an intelligent and automatic direction. Disclosure of Invention The invention provides a multi-system fusion production operation control method, a device, equipment and a storage medium for solving at least one technical problem in the prior art. According to a first aspect, a multi-system fusion production operation control method, the method comprising: The method comprises the following steps of S1, data integration, wherein real-time data are acquired from a plurality of mutually independent production systems through an API interface and are transmitted to a unified data platform for standardized integration, and the production systems at least comprise two or more of a production manufacturing operation management system, a computer-aided process design system, an enterprise resource planning system, a warehouse management system, a supplier relation management system, a quality management system and an office automation platform; S2, performing cleaning, de-duplication and normalization on real-time data integrated in the data platform to obtain standardized data; s3, analyzing and predicting the production running state by utilizing a preset algorithm model based on the standardized data, constructing and iterating a production running state model according to the analysis result to obtain productio