Aerated concrete production information digital control method

Abstract

The invention discloses an aerated concrete production information digital control method, and relates to the technical field of aerated concrete production. An information storage device and an information reading device are arranged on a related production process, information needed by the system is collected in real time and uploaded to a front-end processor or an intelligent system, data are analyzed and processed through an algorithm built in the system, wrong production information is corrected in time, necessary information is written into the information label of the equipment through the read-write equipment, meanwhile, the system sends an accurate production instruction to the production line equipment, automatic operation is achieved, and manual operation is not needed. The use efficiency of a production line is improved, the probability of manual intervention on production is greatly reduced, the production continuity of a factory is greatly improved, production data of each template product is collected, a unique identification code is formed in a database, tracking of defective products and product life cycle management are achieved, and the problem solving efficiency is improved.

Description

technical field [0001] The invention belongs to the technical field of aerated concrete production, in particular to a digital control method for aerated concrete production information. Background technique [0002] At present, the production line of aerated concrete slabs in our country lacks the control technology and method that can realize the automatic production. This is not unrelated to the complexity of the workflow of organizing plate production, the low degree of equipment automation, and more manual intervention. At the current level of technology, the production of a qualified aerated concrete slab requires a lot of manual intervention, many error links, high randomness, unstable product quality, difficult product traceability, and lack of effective digital technology to solve management difficulties. The problem. These are bothering the further development of the air-entrained concrete industry. [0003] The current plate production process is as follows: ...

AI Technical Summary

Problems solved by technology

[0010]1. Lack of automatic error correction mechanism, resulting in production waste: In the actual production process, the operator of the cage suspension is responsible for hanging the sent cages On the saddle frame, it is not responsible for checking whether the reinforcement method is correct. The manual recording of the cage saddle frame reinforcement scheme is relatively random, and errors often occur, and the paper manuscript is easy to be stained and lost, while the brazing machine’s The operator only performs the action of placing the cage saddle on the mold car, and does not check the reinforcement plan. The wrong record causes the operator of the inserting machine to place the wrong specification of the cage saddle on the mold car.

Due to the lack of an effective mechanism to correct errors in time, it is impossible to find errors in time only by the sense of responsibility of the managers. This has resulted in the fact that although the bulk density of the panel products is correct, the reinforcement is wrong, and the factory produces unnecessary products. Specifications, but also occupy the capacity of the factory, consume raw materials and energy, resulting in waste;

[0011]2. Man-machine efficiency is low, transmission and execution of production instructions are wrong, and equipment has no preventive measures: due to the widespread use of distributed operation control mode, setting up in each section of the factory The floor-to-ceiling operation desk is equipped with operators, but due to the distance between the operation desks in different sections, each operator is only responsible for the equipment in front of him, and the communication and cooperation between them is poor; although there are walkie-talkies in the factory area, the factory noise Larger, the radio signal is also interfered, and the real-time communication is not smooth, which also leads to the untimely discovery and processing of the problem

Under the dominance of inertial thinking, operators often assume that there is no problem at all in the pre-sequence section. When problems arise, it will take a long time to communicate and solve them. In addition, the equipment itself has no preventive measures to solve problems, resulting in production line production. Efficiency is affected, resulting in greater losses

For example, the steel reinforcement plan was communicated wrongly, which resulted in the cutting section not replacing the steel wire correctly. When this problem was found, the machine had to stop and spend a long time to replace the steel wire to ensure the smooth cutting of the embryo body. The subsequent embryo body was wasted due to time. Prolonging the pre-culture time leads to an increase in the hardness of the embryo body, and it is easy to break the steel wire during cutting, resulting in a longer repair time, which directly leads to the extension of the waiting time for the embryo body, resulting in a larger area of ​​​​loss

[0012]3. The automation level of the production line is not high, and there is no effective digital means to improve and improve the control method: the existing distributed operating system uses manual control to operate the equipment, Even if the centralized control method is adopted, the camera is only used to replace the human eyes on the console to observe the movement of the equipment, and the operator operates the equipment by viewing the on-site monitor screen in the central control room

Affected by low image resolution, image transmission delay, and the need to display multiple images on one screen at the same time, some common production problems cannot be discovered and displayed in a timely manner, which increases production line downtime and defective product sounds This method does not substantially help the improvement of production efficiency, and increases the workload of work. At the same time, it does not collect and use various data on the production line.

[0013]4. There is no data basis for the traceability of problematic products, and there are blind spots in quality control: due to the lack of collection and application of various production data of the production line, it is impossible to trace the origin of plate products. Quality tracking from pouring to packaging

Without the support of data, it often takes a long time to find the cause of the problem product, which is not conducive to the improvement of the pass rate

For example, in the face of a damaged plate, people need to observe and compare a large number of days to determine whether it is the cause of the equipment hardware or the process formula, and it takes a lot of time and energy to solve these problems

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