Method for managing heat treatment manufacturing process

Abstract

This invention relates to a process management method for heat treatment, comprising the following steps: incorporating a heat treatment database and an experience value database into a heat treatment big data database; setting up a computer connected to the heat treatment big data database and a server, the server being connected to at least one heat treatment furnace; the computer performing a filtering based on multiple conditions in an order message; when the filtering result is a unique value, the computer outputs an existing mass production process and transmits it to the server; when the filtering result is zero or greater than two, the computer searches the heat treatment big data for information matching the multiple conditions, outputs a sample process accordingly, and transmits it to the server. The server controls the heat treatment furnace to perform heat treatment according to the mass production process or the sample production process, thereby obtaining a mass-produced product or a sample product. When the sample product meets the order information, the computer stores the sample production process as a new mass production process. The server inputs the operation information of the heat treatment furnace and the heat treatment results into the heat treatment big data. In this way, the mass production process or the sample production process can be selected according to the content of the order information, which can reduce the probability of having to perform heat treatment again due to heat treatment failure, improve the efficiency of successful heat treatment, and effectively improve the shortcomings of high energy consumption and high carbon emissions.

Claims

1. A heat treatment process management method, comprising the steps of: incorporating a heat treatment database and an experience value database into a heat treatment big data database; setting up a computer, connecting the heat treatment big data database to a server, the server being connected to at least one heat treatment furnace, the computer having a sample processing interface; the computer performing a filtering based on multiple conditions in an order message; when the filtering result is a unique value, the computer outputs an existing mass production process and transmits it to the server; when the filtering result is zero or greater than two, the computer switches to displaying the sample processing interface, and inputs some of the multiple conditions in the sample processing interface, including customer name, material, specification, and product type, and searches for information matching the multiple conditions in the heat treatment big data database; when multiple recommended processes are found, one of the recommended processes is selected as a sample process and transmitted to the server; the server controls the heat treatment furnace to perform heat treatment according to the mass production process or the sample process, thereby obtaining a mass-produced finished product or a sample finished product. Before conducting the sample production process, the computer can optionally perform a computer simulation sample production process based on one of the recommended processes, and compare the acceptance report of the finished sample with the report generated by the computer simulation sample production process. The two reports and the comparison results are then transmitted to the heat treatment database. When the finished sample meets the order information, the computer saves the sample production process as a new mass production process. The server inputs the operation information of the heat treatment furnace and the heat treatment results into the heat treatment big data.

2. The process management method for heat treatment as described in claim 1, wherein, The computer has an existing workflow interface in which the multiple conditions include customer name, material, specifications, keywords, and product type. The computer performs the filtering based on the customer name, material, specifications, keywords, and product type entered into the existing workflow interface.

3. The process management method for heat treatment as described in claim 1 or 2, wherein, The specification includes the target surface hardness of the finished sample or the mass-produced product, the application method during heat treatment, whether there are requirements for the target center hardness of the finished sample or the mass-produced product, or the number of the mass-produced product or the finished sample to be sampled.

4. The process management method for heat treatment as described in claim 1, wherein, If the recommended process is not found in the heat treatment big data, an adjustment is performed to change the complex conditions of the input portion. The adjustment and the search in the heat treatment big data are repeated until the recommended process is obtained.

5. The process management method for heat treatment as described in claim 1, wherein, The recommended process includes a heat treatment parameter and furnace type data. The server selects one of the heat treatment furnaces for heat treatment based on the heat treatment parameter and the furnace type data.

6. The process management method for heat treatment as described in claim 1, wherein, The heat treatment furnace is connected to the heat treatment database. The heat treatment furnace records a capacity and energy consumption information when performing the mass production process or the sample production process, and transmits and stores the capacity and energy consumption information in the heat treatment database.

7. The process management method for heat treatment as described in claim 1, wherein, The aforementioned operational information includes operational reports, precautions, and operational guidelines.

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