CN-122022430-A - Fault analysis method, device, terminal and storage medium of battery production equipment

CN122022430ACN 122022430 ACN122022430 ACN 122022430ACN-122022430-A

Abstract

The invention discloses a fault analysis method, a device, a terminal and a storage medium of battery production equipment in the technical field of battery production, and aims to solve the problems that data acquisition is not timely, analysis means are single, equipment faults cannot be comprehensively reflected and intelligent analysis is lacking in the prior art. The method comprises the steps of obtaining production data and equipment parameters in a battery production process, constructing a fault database according to the production data and the equipment parameters, preprocessing the fault database, identifying frequent problems according to a fault alarm model, identifying mechanism problems according to a fault mechanism model, and obtaining reliability indexes according to an equipment reliability model.

Inventors

WANG PEI
LIU FEI

Assignees

合肥国轩高科动力能源有限公司

Dates

Publication Date: 20260512
Application Date: 20260130

Claims (10)

1. A fault analysis method of a battery production apparatus, comprising: Acquiring production data and equipment parameters of a battery production process; Constructing a fault database according to the production data and the equipment parameters, and preprocessing the fault database; Inputting the preprocessed fault database into a pre-constructed fault alarm model, a fault mechanism model and a device reliability model, identifying frequent problems according to the fault alarm model, identifying mechanism problems according to the fault mechanism model, and acquiring reliability indexes according to the device reliability model; Calculating a fault evaluation index according to the preprocessed fault database; And according to the frequent problems, the mechanism problems, the reliability indexes and the fault evaluation indexes, completing the fault analysis of the battery production process.
2. The method according to claim 1, wherein the production data includes effective production time, active downtime, time to be plugged, yield, and qualification rate, and the equipment parameters include total equipment production operation time, equipment failure alarm occurrence time, equipment failure processing start time, equipment failure processing end time, and mechanism position of occurrence of equipment failure.
3. The method of claim 1, wherein the preprocessing includes data cleansing, data smoothing, data and corresponding content normalization, and simultaneous multiple content primary and secondary processing.
4. The fault analysis method of the battery production apparatus according to claim 1, wherein the construction of the fault alarm model includes: Acquiring historical production data and historical equipment parameters of a battery production process; constructing a historical database according to the historical production data and the historical equipment parameters, and preprocessing the historical database; based on the preprocessed historical database, a quantitative analysis method is adopted to construct a fault alarm model.
5. The failure analysis method of the battery production apparatus according to claim 1, wherein the construction of the failure mechanism model includes: Acquiring historical production data and historical equipment parameters of a battery production process; constructing a historical database according to the historical production data and the historical equipment parameters, and preprocessing the historical database; Based on the preprocessed historical database, a fault mechanism model is constructed by adopting a time analysis method.
6. The failure analysis method of a battery production apparatus according to claim 1, wherein the reliability index includes an average failure interval and an average recovery time; The device reliability model includes: according to the preprocessed fault database, calculating an average failure interval and an average recovery time, wherein the specific expression is as follows: ; ; The method comprises the steps of taking MTBF as an average failure interval, taking MTTR as average recovery time, taking T1 as normal running time of equipment before failure occurrence and obtaining according to equipment failure alarm occurrence time, taking T2 as equipment failure waiting maintenance time and obtaining according to equipment failure alarm occurrence time and equipment failure processing starting time, taking T3 as equipment failure maintenance processing time and obtaining according to equipment failure processing starting time and equipment failure processing ending time, and taking N as total failure times of equipment.
7. The method for analyzing the failure of the battery production apparatus according to claim 1, wherein the failure evaluation index includes an occurrence frequency of the failure of the apparatus and a failure rate of the apparatus; The calculating the fault evaluation index according to the preprocessed fault database comprises the following steps: acquiring equipment failure occurrence frequency in the battery production process according to the preprocessed failure database; According to the preprocessed fault database, calculating the equipment fault rate, wherein the specific expression is as follows: ; wherein: For the equipment failure rate, the total failure downtime is obtained according to the equipment failure processing start time and the equipment failure processing end time.
8. A failure analysis apparatus of a battery production facility, characterized by comprising: The acquisition module is used for acquiring production data and equipment parameters in the battery production process; the preprocessing module is used for constructing a fault database according to the production data and the equipment parameters and preprocessing the fault database; The first evaluation module is used for inputting the preprocessed fault database into a pre-constructed fault alarm model, a fault mechanism model and a device reliability model, identifying frequent problems according to the fault alarm model, identifying mechanism problems according to the fault mechanism model and acquiring a reliability index according to the device reliability model; the second evaluation module is used for calculating a fault evaluation index according to the preprocessed fault database; And the analysis module is used for completing fault analysis in the battery production process according to the frequent problems, the mechanism problems, the reliability indexes and the fault evaluation indexes.
9. A terminal, comprising a processor and a storage medium; The storage medium is used for storing instructions; The processor being operative according to the instructions to perform the steps of the method according to any one of claims 1 to 7.
10. Computer readable storage medium, on which a computer program is stored, characterized in that the program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 7.

Description

Fault analysis method, device, terminal and storage medium of battery production equipment Technical Field The invention relates to a fault analysis method, a fault analysis device, a fault analysis terminal and a fault analysis storage medium for battery production equipment, and belongs to the technical field of battery production. Background In the current lithium ion battery manufacturing industry, with the continuous improvement of the production automation level and the increasing localization of production equipment, how to reduce the failure rate of the production equipment becomes a focus of continuous attention of various large enterprises. The lithium ion battery production generally comprises a plurality of working procedures, and comprises a plurality of links such as slurry mixing, sheet making, core winding, assembly, liquid injection, packaging, testing and the like. In the production, a large number of mechanical equipment and automation systems are involved, such as slurry mixing systems, rolling equipment, coating equipment, winding equipment, assembling equipment, liquid injection equipment and the like, and under the high-speed and high-load operation environments, any failure shutdown can cause the reduction of production efficiency and the fluctuation of product quality, so that the failure phenomenon and root cause of the production equipment need to be comprehensively and comprehensively analyzed, evaluated and optimized. Since the failure of the equipment can lead to the reduction of production efficiency, and thus the production cost and the delivery cycle are directly related, the reduction of the failure rate of the production equipment is one of the core tasks for improving the competitiveness of enterprises. At present, the conventional manual recording and equipment self-contained fault alarm log mode is generally adopted in the lithium battery production fault analysis method, and has various defects such as untimely data acquisition, single analysis means, incapability of comprehensively reflecting equipment fault problems, lack of intelligent analysis and the like, so that the production equipment is difficult to adjust in time according to analysis results, and the fault rate of the production equipment is influenced. Disclosure of Invention The invention aims to overcome the defects in the prior art and provide a fault analysis method, a device, a terminal and a storage medium of battery production equipment, which are used for systematically analyzing the battery production process through a fault alarm model, a fault mechanism model and an equipment reliability model so as to acquire various problems and indexes, deeply understand the running state of each equipment, discover the problems in the aspects of potential equipment structural members, maintenance, process parameters and the like, and timely reflect the fault problems of the equipment, so that the subsequent equipment adjustment work is facilitated, and the fault rate of the equipment is reduced. In order to solve the technical problems, the invention is realized by adopting the following technical scheme: in a first aspect, the present invention provides a fault analysis method for a battery production apparatus, including: Acquiring production data and equipment parameters of a battery production process; Constructing a fault database according to the production data and the equipment parameters, and preprocessing the fault database; Inputting the preprocessed fault database into a pre-constructed fault alarm model, a fault mechanism model and a device reliability model, identifying frequent problems according to the fault alarm model, identifying mechanism problems according to the fault mechanism model, and acquiring reliability indexes according to the device reliability model; Calculating a fault evaluation index according to the preprocessed fault database; And according to the frequent problems, the mechanism problems, the reliability indexes and the fault evaluation indexes, completing the fault analysis of the battery production process. According to the technical scheme, the battery production process is systematically analyzed through the fault alarm model, the fault mechanism model and the equipment reliability model, so that various problems and indexes are obtained, the running state of each equipment can be deeply known, the problems in the aspects of potential equipment structural parts, maintenance, process parameters and the like can be found, the fault problem of the equipment can be timely reflected, the follow-up equipment adjustment work can be facilitated, and the fault rate of the equipment is reduced. Further, the production data comprise effective production time, active downtime, material to be blocked time, yield and qualification rate, and the equipment parameters comprise equipment production running total time, equipment fault alarm occurrence time, equipment fault processing s