CN-121981416-A - Intelligent management method and system for power distribution cabinet production

CN121981416ACN 121981416 ACN121981416 ACN 121981416ACN-121981416-A

Abstract

The application relates to an intelligent management method and system for power distribution cabinet production, and relates to the field of power and electric technology; the method comprises the steps of establishing a history interval to determine a universal time point, defining a raw production type and determining raw production efficiency according to the universal time point, determining single representative efficiency according to the universal time point, randomly determining simulation distribution quantity according to all product production types and product production quantity under all stations to construct a simulation distribution scheme, randomly sequencing according to the product production types of the stations under each simulation distribution scheme to determine a simulation operation scheme, determining overall production duration and single production duration under the simulation operation scheme, and determining a reasonable use scheme according to analysis of the overall production duration and the single production duration to distribute current tasks. The application has the effect of improving the overall production efficiency during the production of the power distribution cabinet.

Inventors

YING YONGMING
CHEN FENG

Assignees

舟山市贝斯特电气股份有限公司

Dates

Publication Date: 20260505
Application Date: 20251127

Claims (8)

1. An intelligent management method for power distribution cabinet production is characterized by comprising the following steps: Obtaining the product production type, the product production quantity and the required limit time; A history interval with the width of a preset history duration is constructed on a preset time axis, and a general time point is determined according to the current product production type under the history interval; Judging whether a universal time point exists in each product production type; If the general time point does not exist in each product production type, defining the corresponding product production type as a raw thinning production type, and determining raw thinning production efficiency according to each station under the raw thinning production type; If the general time point exists in each product production type, obtaining the product production efficiency of the current product production type at the general time point, and calculating according to all the product production efficiencies to determine the monomer representing efficiency; Randomly determining the simulation distribution quantity according to all the product production types and the product production quantity at all the stations, and combining to construct a simulation distribution scheme; randomly sequencing according to the product production types of the stations under each simulation distribution scheme to determine a simulation operation scheme, and analyzing according to the representative efficiency and the raw production efficiency of each monomer under the simulation operation scheme to determine the whole production duration and the monomer production duration; The simulation operation scheme when the monomer production time length of each product production type is smaller than the corresponding required limit time length is defined as an effective operation scheme, the effective operation scheme of the minimum overall production time length is defined as a reasonable use scheme, and the current task is distributed according to the reasonable use scheme.
2. The intelligent management method for power distribution cabinet production according to claim 1, wherein the step of determining the production efficiency of the raw materials according to each station under the raw materials production type comprises the steps of: Acquiring actual production types and corresponding actual production efficiency according to each station in the history interval; acquiring component list parameters and assembly list parameters under the raw production type and the actual production type, and calculating according to the component list parameters and the assembly list parameters to determine the structural similarity; determining the structural similarity with the largest numerical value according to a preset ordering rule, and determining the actual production efficiency of the actual production type corresponding to the structural similarity as the life-thinning production efficiency.
3. The intelligent management method for power distribution cabinet production according to claim 2, wherein after the structural similarity with the largest numerical value is determined, the intelligent management method for power distribution cabinet production further comprises: judging whether the maximum structural similarity is greater than a preset structural requirement degree; if the maximum structural similarity is greater than the structural requirement degree, determining the actual production efficiency of the actual production type corresponding to the maximum structural similarity as the life production efficiency; If the maximum structural similarity is not greater than the structural requirement degree, defining the actual production efficiency of the actual production type corresponding to the maximum structural similarity as the reference production efficiency, defining corresponding component list parameters as reference component parameters, and defining assembly list parameters as reference assembly parameters; Calculating and analyzing according to the component list parameters of the current raw and sparse production type and the reference component parameters to determine deviation component parameters, and calculating and analyzing according to the assembly list parameters of the current raw and sparse production type and the reference assembly parameters to determine deviation assembly parameters; Determining relative assembly parameters, relative assembly parameters and relative production efficiency according to any two actual production types in a history interval, and calculating according to the relative assembly parameters, the deviation assembly parameters and the deviation assembly parameters to determine a reference reasonable coefficient; and calculating according to the relative production efficiency corresponding to the maximum reference reasonable coefficient and the reference production efficiency to determine the raw production efficiency.
4. The intelligent management method for power distribution cabinet production according to claim 3, wherein if the maximum structural similarity is greater than the structural demand, the intelligent management method for power distribution cabinet production further comprises: judging whether at least two actual production types with the same structural similarity and the maximum structural similarity exist; If at least two actual production types with the same structural similarity and the maximum structural similarity do not exist, determining the raw production efficiency according to the actual production efficiency of the actual production type corresponding to the maximum structural similarity; If at least two actual production types with the same structural similarity and the maximum structural similarity exist, defining the actual production type corresponding to the maximum structural similarity as an alternative production type; Determining an alternative time point according to the alternative production type, and determining an alternative interval duration according to the current time point and the alternative time point; determining the minimum alternative interval time according to the sorting rule, and determining the actual production efficiency of the alternative production type corresponding to the alternative interval time as the life-to-life production efficiency.
5. The intelligent management method for power distribution cabinet production according to claim 2, wherein after the determination of the simulated operation scheme, the intelligent management method for power distribution cabinet production further comprises: in the simulation operation scheme, the front product production type is defined as the front production type, and the back product production type is defined as the back production type; Determining structural similarity according to the preamble production type and the follow-up production type, and determining assembly influence efficiency corresponding to the structural similarity according to a preset influence matching relation; and calculating the monomer representing efficiency or the raw production efficiency corresponding to the subsequent production type according to the assembly influence efficiency so as to update.
6. The intelligent management method for power distribution cabinet production according to claim 2, wherein after the effective operation scheme is determined, the intelligent management method for power distribution cabinet production further comprises: judging whether at least two effective operation schemes with the same overall production duration and minimum production duration exist; if at least two effective operation schemes with the same overall production duration and the minimum overall production duration do not exist, defining the effective operation scheme corresponding to the minimum overall production duration as a reasonable use scheme; If at least two effective operation schemes with the same overall production duration and the minimum overall production duration exist, defining the effective operation scheme corresponding to the minimum overall production duration as an alternative use scheme; in an alternative use scheme, the floating efficiency is matched according to the maximum structural similarity of the raw and sparse production types of each station, and the corresponding raw and sparse production efficiency is updated according to the floating efficiency; And calculating and analyzing according to the updated raw and dredged production efficiency to determine the whole production time length and the monomer production time length under the alternative use scheme, and determining the effective operation scheme under the alternative use scheme to define the alternative use scheme corresponding to the minimum whole production time length as a reasonable use scheme.
7. The intelligent management method for power distribution cabinet production according to claim 1, wherein after the effective operation scheme is determined, the intelligent management method for power distribution cabinet production further comprises: calculating a difference value according to the monomer production time length of each product production type and the corresponding required limit time length to determine the limit residual time length; Determining a residual evaluation coefficient corresponding to the limit residual duration according to a preset evaluation matching relation, and carrying out summation calculation according to all the residual evaluation coefficients to determine a scheme evaluation coefficient; and reserving the effective operation schemes with scheme evaluation coefficients larger than the preset requirement evaluation coefficients, and rejecting the rest effective operation schemes.
8. Intelligent management system is used in switch board production, its characterized in that includes: The acquisition module is used for acquiring the product production type, the product production quantity and the required limit duration; the processing module is connected with the acquisition module and the judging module and is used for storing and processing information; the judging module is connected with the acquisition module and the processing module and is used for judging information; The processing module constructs a history interval with the width of a preset history duration on a preset time axis, and determines a general time point according to the current product production type under the history interval; the judging module judges whether the universal time point exists in each product production type; If the judging module judges that the universal time point does not exist in each product production type, the processing module defines the corresponding product production type as a raw production type, and determines raw production efficiency according to each station under the raw production type; If the judging module judges that the universal time point exists in each product production type, the obtaining module obtains the product production efficiency of the current product production type at the universal time point, and the processing module calculates according to all the product production efficiencies to determine the monomer representing efficiency; The processing module randomly determines the simulation distribution quantity according to all the product production types and the product production quantity at all the stations, and combines the simulation distribution quantity to construct a simulation distribution scheme; The processing module performs random sequencing according to the product production types of the stations under each simulation distribution scheme to determine a simulation operation scheme, and analyzes according to the representative efficiency and the sparse production efficiency of each monomer under the simulation operation scheme to determine the whole production duration and the monomer production duration; The processing module defines a simulation operation scheme when the monomer production time length of each product production type is smaller than the corresponding required limit time length as an effective operation scheme, defines the effective operation scheme of the minimum overall production time length as a reasonable use scheme, and distributes the current task according to the reasonable use scheme.

Description

Intelligent management method and system for power distribution cabinet production Technical Field The application relates to the field of power electrical technology, in particular to an intelligent management method and system for power distribution cabinet production. Background The power distribution cabinet is used as core equipment for power distribution and control, the production efficiency and quality of the power distribution cabinet are directly related to the stable operation of a power system, and most of work still depends on manual operation in the production and assembly links of the power distribution cabinet at present. After receiving the assembly order of the customer, the production management part door generally breaks down the whole assembly task into a plurality of subtasks, and issues the subtasks to corresponding assembly stations according to the assembly efficiency of each station, and the assembly of the finished product of the power distribution cabinet is finally realized by workers. In the prior art, when task allocation is carried out, the task allocation is usually carried out based on the general assembly efficiency of one station to all types of power distribution cabinets, and the method ignores a key fact that for power distribution cabinets of different types, the corresponding assembly efficiency is different for personnel of each station due to different proficiency, namely, the assembly efficiency of a single station to the type of power distribution cabinet is not considered, so that the assembly task may be issued inaccurately, the overall production efficiency is influenced, and improvement space is provided. Disclosure of Invention In order to improve the overall production efficiency during the production of the power distribution cabinet, the application provides an intelligent management method and system for the production of the power distribution cabinet. In a first aspect, the application provides an intelligent management method for power distribution cabinet production, which adopts the following technical scheme: an intelligent management method for power distribution cabinet production comprises the following steps: Obtaining the product production type, the product production quantity and the required limit time; A history interval with the width of a preset history duration is constructed on a preset time axis, and a general time point is determined according to the current product production type under the history interval; Judging whether a universal time point exists in each product production type; If the general time point does not exist in each product production type, defining the corresponding product production type as a raw thinning production type, and determining raw thinning production efficiency according to each station under the raw thinning production type; If the general time point exists in each product production type, obtaining the product production efficiency of the current product production type at the general time point, and calculating according to all the product production efficiencies to determine the monomer representing efficiency; Randomly determining the simulation distribution quantity according to all the product production types and the product production quantity at all the stations, and combining to construct a simulation distribution scheme; randomly sequencing according to the product production types of the stations under each simulation distribution scheme to determine a simulation operation scheme, and analyzing according to the representative efficiency and the raw production efficiency of each monomer under the simulation operation scheme to determine the whole production duration and the monomer production duration; The simulation operation scheme when the monomer production time length of each product production type is smaller than the corresponding required limit time length is defined as an effective operation scheme, the effective operation scheme of the minimum overall production time length is defined as a reasonable use scheme, and the current task is distributed according to the reasonable use scheme. Optionally, the step of determining the production efficiency of the raw dredger according to each station under the production type of the raw dredger comprises the following steps: Acquiring actual production types and corresponding actual production efficiency according to each station in the history interval; acquiring component list parameters and assembly list parameters under the raw production type and the actual production type, and calculating according to the component list parameters and the assembly list parameters to determine the structural similarity; determining the structural similarity with the largest numerical value according to a preset ordering rule, and determining the actual production efficiency of the actual production type corresponding to the structural similarity as t