JPH0243601A - Decentralized processing system - Google Patents

Abstract

PURPOSE:To prevent the reduction of a production efficiency by dispersing a work queue to a computer for controlling respective sites and respectively controlling a machine for respective works in accordance with the work queue with the computer for controlling respective sites. CONSTITUTION:A computer for work plan (computer 3 for processing plan) prepares a work queue for computers 21-2N for controlling sites and the work queue is dispersed to the computers 21-2N for controlling respective sites. The computers 21-2N for controlling respective sites controls a machine for respective works (processing machines 11-1N) in accordance with the work queue. In accordance with the processing queue dispersed to the computers 21-2N for controlling respective sites, the computers 21-2N for controlling respective sites successively to not receive the processing instruction from the computer 3 for processing plane, starts the processing, the condition of the computer for controlling the site of a next process and controls to flow the substance to the next process. Thus, even when the computer for work plan is troubled, the computer group for controlling the site can be independently operated and the reduction of the production efficiency can be prevented.

Description

DETAILED DESCRIPTION OF THE INVENTION [Field of Industrial Application] The present invention relates to a distributed processing system for controlling a plurality of working machines arranged on a production line of a factory by distributed processing.

[Conventional technology]

FIG. 8 is a configuration block diagram of a distributed processing system employing a conventional distributed processing method, and FIG. 9 is a functional block diagram of this system. In the figure, 11 to IN are multiple processing machines (work machines) placed on the factory production line.
21-2N is a plurality of on-site control computers that respectively control the processing machines 11 to IN; 3 is data corresponding to a processing order (work order) for a predetermined number of days, for example, one day; process information on parts to be processed; Processing that stores processing status (work status) and performance data and issues work instructions and logistics control to multiple on-site control computers 21 to 2N [planning computer (work planning computer), 4 is processed This is a transport controller that transports parts. In addition, in FIG. 9, 2 indicates a group of on-site control computers corresponding to the on-site control computers 21 to 2N in FIG. 8.

In this way, the distributed processing system includes the machining planning computer 3,
It is composed of on-site control computers 21 to 2N and a network connecting them, and the machining planning computer 3 gives processing instructions and logistics control to the on-site control computers 21 to 2N, so-called machining planning computer-driven vertical distribution. It is a processing system.

Next, the operation will be explained. There is a production management system on top of this distributed processing system, and the production management system creates monthly production plans such as how many parts to make and by what time. Create a processing plan for the number of cars per day based on the production plan. According to the daily machining plan, the machining plan calculator 3
Processing instructions are given to the site control computer group 2, and the site control computer group 2 receives the machining instructions and executes the actual processing machine 11.
~ Controls IN to process objects. When machining is completed, the site control computer group 2 reports the machining completion to the machining planning computer 3, and the machining planning computer 3 collects production results.

[Problem to be solved by the invention]

In the conventional distributed processing method, as mentioned above, the on-site control computers operate sequentially according to machining instructions from the machining planning computer, so if the machining planning computer breaks down, the distributed processing system may There were problems such as the possibility that the entire system would stop.

This invention was made to solve the above problems, and even if the work planning computer (processing planning computer) breaks down, the site control computer group can operate independently, thereby improving production efficiency. The purpose of the present invention is to provide a distributed processing method that can prevent a decline in performance.

[Means to solve the problem]

In the distributed processing method according to the present invention, the work planning computer (processing planning computer 3) has a work queue that indicates the work order for each of the site control computers 21 to 2N for the predetermined number of days according to the work plan for the predetermined number of days. The work queue is distributed to each site control computer 21-2N, and each site control computer 21-2N controls each work machine (processing machine 11-IN) according to the work queue. It is characterized by this.

[Effect]

The work planning computer (processing planning computer 3) creates a work queue for each of the on-site control computers 21 to 2N, and distributes the work queues to each of the on-site control computers 21 to 2N.

Each site control computer 21-2N controls each work machine (processing machine 11-IN) according to its work queue.

[Embodiments of the invention]

FIG. 2 is a configuration block diagram of a distributed processing system employing a distributed processing method according to an embodiment of the present invention, and FIG. 3 is a functional block diagram of this system. In FIGS. 2 and 3, components corresponding to those shown in FIGS. 8 and 9 are given the same reference numerals, and their explanations will be omitted. In this embodiment, the machining planning computer 3 indicates a one-day machining order (work order) for each site control computer 21 to 2N according to a machining plan (work plan) for a predetermined number of days, for example, one day. A machining queue (work queue) is created, and the machining queue is distributed to each site control computer 2-2N. Further, each of the on-site control computers 21 to 2N controls each of the processing machines 11 to IN according to the processing queue.

Next, the operation of this embodiment will be explained.

A certain on-site control computer receives and holds one day's worth of machining queue data from the machining planning computer 3 at the start of one day's work. The structure of this data represents the processing order for one day, as shown in FIG. The bottom end of this processing queue means the first processing of the day, and the top end means the processing after that day. For example, part A is machined first, and part C is machined last. Next, process information corresponding to each part is stored in advance on the on-site control computer 21 to 2N.
It is held as knowledge. As shown in FIG. 6, this data structure is composed of the names of the on-site control computers for the front and rear processes and the machining times for the front and rear processes for each part. Next, machining status data corresponding to the machining queue is held in the on-site control computers 21 to 2N. The structure of this data consists of the machining status, machining start time, and machining completion time for each part, as shown in Figure 5. The machining status is identified by the type of character as being machining, machining bundle, or machining completed. The processing start time indicates the time when processing actually started, and the processing completion time indicates the time when processing was actually completed.

Next, the process will be explained with reference to the flowchart shown in FIG.

First, at the start of the day's work, for example, the site control computer 2
1 receives the machining queue data for that day from the machining planning computer 3 (step S1). When the object arrives at the processing machine 11 to be controlled (step S2), the on-site control computer 21 receives the part name identified by a sensor, etc. (step S3), and checks it against the part name at the bottom of the processing queue. Step S4), if they are not the same, report to the machining planning computer 3 that the part names are not the same, wait for instructions (step S5), and if they are the same, control the machining machine to perform the machining. Implemented for 11 (St.
7p S6). As a result, machining of the object begins, and the machining start time is sent to the on-site control computer 21, and the machining status is set to machining (step S7). When the processing of the object is completed (step S8), the site control computer 21 receives a report of processing completion from the processing machine 11, and the fifth
The machining completion time and machining status in the machining status information shown in the figure are set (step S9). Next, the site control computer 21 identifies the next process, and if the next process is waiting for transport (step 511), it instructs the transport controller 4 to control the flow of the object to the next process (step 512).

After receiving from the processing machine 11 that the object has left the processing machine 11, the on-site control computer 21 sets the transport waiting flag to the transport waiting state, deletes the bottom end of the processing queue, and deletes the previous process. Wait for the item to arrive and repeat the same process.

In this way, in the above embodiment, each of the on-site control computers 21 to 2N performs processing without sequentially receiving processing instructions from the machining planning computer 3 according to the processing queues distributed among the on-site control computers 21 to 2N. starts, checks the status of the on-site control computer for the next process, and controls the flow of materials to the next process. In addition, in the above embodiment, the on-site control computer 21
~2N can be realized by a personal computer, and the load on the machining planning computer 3 will be lighter than before, so if it is handled by a personal computer, the price of the distributed processing system can be reduced.

In addition, although the above embodiment describes a distributed processing system for machining, it may also be a distributed processing system for mold processing, other processing, or assembly, as long as it is a system controlled by a computer. It has the same effect as the above embodiment.

〔Effect of the invention〕

As described above, according to the present invention, the work planning computer distributes the work queue to each site control computer, and each site control computer controls each work machine according to its work queue. Therefore, even if the work planning computer breaks down, each site control computer can operate independently, which prevents the work from stopping and prevents a drop in production efficiency.

[Brief explanation of the drawing]

FIG. 1 is a flowchart showing the operation of a distributed processing system according to an embodiment of the present invention, FIG. 2 is a block diagram of the configuration of a distributed processing system according to this embodiment, and FIG. 3 is a distributed processing system according to this embodiment. FIG. 4 is a diagram showing the processing queue in this embodiment, FIG. 5 is a diagram showing processing status information in this embodiment, FIG. 6 is a diagram showing process information in this embodiment, and FIG. FIG. 7 is a diagram showing the transport waiting flag in this embodiment, FIG. 8 is a block diagram of a configuration of a distributed processing system employing a conventional distributed processing method, and FIG. 9 is a functional block diagram of a conventional distributed processing system. 11~IN...Processing machine (work machine), 21~2N
...on-site control computer, 3...machining planning computer (
work planning calculator). Agent Masuo Oiwa (and 2 others) Figure 1 Figure 6 Figure 70 Figure 80 Figure 2 Figure 4 Figure 5 Figure 9

Claims (1)

[Claims] Multiple work machines placed on the production line, multiple on-site control computers that control each of the above-mentioned work machines, data corresponding to the work order for a predetermined number of days, part process information, work status and a work planning computer that stores performance data and issues work instructions and logistics control to the plurality of on-site control computers, wherein the work planning computer stores work planning information for a predetermined number of days. Accordingly, a work queue indicating the work order for a predetermined number of days is created for each of the above-mentioned site control computers, and the work queue is distributed to each site control computer, and each site control computer performs each job according to its work queue. A distributed processing method that is characterized by controlling each work machine.