What are the difficulties of equipment management
1、 Lack of visual presentation of equipment status, the status quo is not comprehensive
For the overall operation of the equipment in the plant, managers often through the monthly report or regular meetings and other forms of access to information, data timeliness and accuracy is not high, and the collection and organization of information is time-consuming. Due to the lack of timely and accurate visual presentation of the equipment operation status, managers are unable to fully grasp the reality of what equipment is currently available.
Therefore, the current status of equipment operation is not comprehensive enough to provide information support for the relevant arrangements and decisions of equipment management. Especially for the close, heavy equipment, can not timely and accurately understand its operating status, can not find potential abnormalities or faults in a timely manner, thus affecting the normal production work.
2、 Lack of equipment abnormality accurate push, abnormal response is not timely
Equipment anomalies or failures, often by the field personnel by phone and other ways to report repairs, maintenance personnel to the scene to do a preliminary investigation reported to the leadership in charge, according to the actual situation of the fault may need to coordinate with other personnel to deal with the problem. Therefore, there is a certain time lag from the occurrence of equipment anomalies to abnormal processing, unable to respond in time to deal with abnormalities so as to minimize the impact of equipment abnormalities on the production schedule.
3、 Lack of equipment data analysis tools, the problem of mining is not in-depth
Traditional equipment management data is limited to equipment operating conditions, state distribution, inspection and maintenance and repair of equipment information. Failure to apply the data in the equipment predictive maintenance, equipment anomaly early warning, equipment failure diagnosis, spare parts analysis, component life prediction and other aspects of mining analysis, resulting in abnormalities can only be dealt with after the occurrence of the problem of processing efficiency and accuracy is not high and to a large extent dependent on manual experience.
4、 Lack of equipment perspective integrated linkage, impact assessment is not comprehensive
The equipment management process ignores other production problems caused by equipment problems, such as production schedule lag, quality problems. Mainly due to the lack of multi-perspective linkage means, can not combine the equipment problems with its triggered problems, and thus can not comprehensively assess the impact of equipment abnormalities.
How to solve the difficulties of equipment management
1、 Equipment management panoramic situation visualization
In order to comprehensively show the operation of equipment and related production tasks in the plant, the equipment map provides a visualization of the panoramic situation of equipment management. Based on the equipment map, the equipment maintenance personnel can accurately and intuitively understand the maintenance plan and task countdown of all equipment (especially critical and heavy equipment). Production management personnel based on the equipment map real-time mastery of all equipment operation, maintenance, repair and other equipment operation, for equipment load analysis, equipment performance statistics, accurate assessment of equipment capacity utilization, etc., to provide timely and accurate information support, scientific and reasonable production task planning and adjustment, to maximize to ensure the rational use of equipment resources.
2、 Accurate and timely delivery of equipment abnormalities and failures
In order to ensure rapid response to equipment abnormalities or failures, according to their specific conditions, the abnormalities or failures will be accurately pushed to the corresponding supervisor and responsible person, so that the supervisor and maintenance personnel can grasp the details of equipment abnormalities or failures in a timely manner. Thus preventing further expansion of the impact of the problem, and minimize the impact of equipment anomalies or failures on the production schedule.
3、 Multi-source data analysis problems in-depth mining
In order to minimize the potential risks of equipment anomalies or failures and improve the reliability of normal operation of equipment, the equipment map is based on the fusion of multi-source data from the equipment, combined with artificial intelligence algorithms to further discover and dig deeper into the problem.
Through the in-depth mining and analysis of equipment predictive maintenance, equipment abnormality warning, component life prediction and other issues, it reduces the potential risk of sudden equipment failure. In addition, through the in-depth study of equipment failure diagnosis, spare parts analysis and other issues, to improve the efficiency of equipment failure maintenance, shorten the time required for failure maintenance, and reduce the impact of equipment failure downtime on the production schedule.
4、 Comprehensive display of equipment abnormalities and their impact
Based on equipment management and using equipment as a carrier, the equipment map realizes the comprehensive display of problems caused by equipment abnormalities such as material matching, production progress, product quality and so on through the linkage of equipment abnormalities from multiple perspectives. Therefore, the equipment map reflects the impact caused by equipment abnormalities in the production process with equipment as the carrier, thus making equipment management more comprehensive and efficient.
