CN117872990A - Operation method and system for industrial production operation procedure - Google Patents

Abstract

The invention discloses an operation method and system of an industrial production operation procedure, and relates to the technical field of industrial production, wherein the method comprises the following steps: acquiring order information; creating three work orders according to the order quantity and the preset work order production quantity; assigning three work orders to three production teams; each production team determines a material bill according to the production quantity and the feeding information of the corresponding work bill; extracting materials according to a material bill, mixing the materials, and collecting equipment data at regular time when the materials run for a preset time; comparing the equipment data with preset standard data, so as to remove defective products corresponding to mixing equipment data inconsistent with the preset standard data; coating work is carried out, and the thickness of the semi-finished product is collected in real time; comparing the thickness with a preset standard thickness, and debugging the coating equipment according to the comparison result; after debugging is completed, the slitting and winding equipment is started, operation information and output result data are obtained, and automatic operation of industrial production operation procedures is realized.

Description

An operation method and system for industrial production operation process

Technical Field

The present invention relates to the technical field of industrial production, and in particular to an operating method and system for an industrial production operation process.

Background technique

As a key information system at the manufacturing execution level, the Manufacturing Execution System (MES) of manufacturing enterprises faces many difficulties and challenges. Due to the differences in production processes in various industries, the complexity of business needs and the high customization requirements, the design and implementation of the MES system is full of challenges.

Many attempts have been made to manage and schedule people, machines, materials, methods, environment, and measurement in the MES system. The direction is to design the software in a way that allows production personnel or technical personnel to participate. Developers cannot deduce the best model to support the business. Various problems are found after the software is delivered and put into operation, such as process parameter adjustment, process change, downgrade processing, etc. However, since the business functions are bound to the customer's initial needs, the system cannot dynamically adjust the business functions when the needs change. For this situation, the current processing method can only be to contact the developer to change the business functions according to the new needs. This processing method will affect the scheduling of the entire production resources and changes in production orders.

Summary of the invention

The purpose of the present invention is to provide an operation method and system for an industrial production operation process, thereby realizing the automated operation of the industrial production operation process.

To achieve the above object, the present invention provides the following solutions:

An operating method for an industrial production operation process, comprising:

Obtain order information of multiple orders; the order information includes the company to which the order belongs, product, model, product quantity, contact person, contact information, delivery time, order person in charge and order submission time;

Create three work orders based on the order quantity and the preset work order production quantity;

Allocate the three work orders to three different production teams;

Each production team determines the material list based on the production quantity and material input information of the corresponding work order; the material list includes: material name, specification, quantity, unit of measurement, work order, generation time, issuance time, material extractor, extraction time and material placement location;

Extract materials according to the material list and mix them through the mixing equipment. When the mixing equipment runs for the preset time, the mixing equipment data is collected regularly;

Compare the collected mixing equipment data with the preset standard data, so as to remove the defective products corresponding to the mixing equipment data inconsistent with the preset standard data;

Start the coating equipment to carry out coating work and collect the thickness of the semi-finished product after coating in real time;

Compare the collected thickness with the preset standard thickness, and debug the coating equipment according to the comparison results;

After the coating equipment is debugged, the slitting and winding equipment is started, and the operation information and output result data of the slitting and winding equipment are obtained; the operation information includes: operation status and alarm data, and the output result data includes: slitting width and roll length.

Optionally, obtain order information for multiple orders, including:

The order information is obtained from an upstream enterprise resource planning system through an interface.

Optionally, after obtaining order information of multiple orders, the method further includes:

The order information is stored in the order table in the MySQL relational database.

Optionally, create three work orders based on the order quantity and the preset work order production quantity, including:

According to the obtained order quantity and the preset work order production quantity, three work orders with the same production quantity are created. If the production quantity allocated to the three work orders is the same but there is an excess evenly distributed, or the production quantity allocated to the third work order is less than the set quantity but there is an excess distributed, the remaining production quantity will be assigned to the third work order.

Optionally, the periodic collection of mixing equipment data also includes:

The collected mixing equipment data is stored in the database.

Optionally, mixing equipment data including: viscosity, moisture and particle size.

Optionally, after obtaining the operation information and output result data of the slitting and winding equipment, the method further includes:

The operation information and the output result data are stored in a database.

An operating system for an industrial production operation process, comprising:

An order information acquisition module is used to acquire order information of multiple orders; the order information includes the company to which the order belongs, the product, model, product quantity, contact person, contact information, delivery time, order person in charge and order submission time;

The work order creation module is used to create three work orders according to the order quantity and the preset work order production quantity;

An allocation module, used for allocating the three work orders to three different production teams;

The material list determination module is used for each production team to determine the material list according to the production quantity and material input information of the corresponding work order; the material list includes: material name, specification, quantity, unit of measurement, work order, generation time, issuance time, material extractor, extraction time and material placement location;

The mixing module is used to extract materials according to the material list and mix the materials through the mixing equipment. When the mixing equipment runs for a preset time, the mixing equipment data is collected regularly;

A defective product removal module is used to compare the collected mixing equipment data with the preset standard data, so as to remove the defective products corresponding to the mixing equipment data inconsistent with the preset standard data;

The coating module is used to start the coating equipment to perform coating work and collect the thickness of the semi-finished product after coating in real time;

The coating module is used to compare the collected thickness with the preset standard thickness and debug the coating equipment according to the comparison results;

The slitting and winding module is used to start the slitting and winding equipment after the coating equipment is debugged, and obtain the operation information and output result data of the slitting and winding equipment; the operation information includes: operation status and alarm data, and the output result data includes: slitting width and roll length.

According to the specific embodiments provided by the present invention, the present invention discloses the following technical effects:

The present invention discloses an operation method and system for an industrial production operation process, firstly, obtaining order information; creating three work orders according to the order quantity and the preset work order production quantity; allocating the three work orders to three different production teams; secondly, each production team determines a bill of materials according to the production quantity and feeding information of the corresponding work order; extracting materials according to the bill of materials, and mixing the materials through a mixing device, and collecting the mixing device data at regular intervals when the mixing device runs for a preset time; comparing the collected mixing device data with the preset standard data, thereby removing defective products corresponding to the mixing device data inconsistent with the preset standard data; thirdly, starting a coating device for coating work, and collecting the thickness of the semi-finished product after coating in real time; comparing the collected thickness with the preset standard thickness, and debugging the coating device according to the comparison result; finally, after the coating device is debugged, starting a slitting and winding device, and obtaining the operation information and output result data of the slitting and winding device; the operation information includes: operation status and alarm data, and the output result data includes: slitting width and roll length, thereby realizing the automated operation of the industrial production operation process.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings required for use in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

FIG1 is a schematic flow chart of an operation method of an industrial production operation process provided by Example 1 of the present invention;

Figure 2 is a diagram of the factory lithium battery production line process rule engine.

Detailed ways

The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

The purpose of the present invention is to provide an operation method and system for an industrial production operation process, aiming to realize the automated operation of the industrial production operation process.

In order to make the above-mentioned objects, features and advantages of the present invention more obvious and easy to understand, the present invention is further described in detail below with reference to the accompanying drawings and specific embodiments.

Example 1

FIG1 is a schematic flow chart of an operation method of an industrial production operation process provided by Example 1 of the present invention. As shown in FIG1 , the operation method of the industrial production operation process in this embodiment includes:

Step 101: Obtain order information of multiple orders.

Among them, order information includes the company to which the order belongs, product, model, product quantity, contact person, contact information, delivery time, order person in charge and order submission time.

As an optional implementation, step 101 includes:

Obtain order information from the upstream enterprise resource planning system through the interface.

As an optional implementation manner, after step 101, the method further includes:

Store the order information in the order table in the MySQL relational database.

Step 102: Create three work orders according to the order quantity and the preset work order production quantity.

As an optional implementation, step 102 includes:

According to the obtained order quantity and the preset work order production quantity, three work orders with the same production quantity are created. If the production quantity allocated to the three work orders is the same but there is an excess evenly distributed, or the production quantity allocated to the third work order is less than the set quantity but there is an excess distributed, the remaining production quantity will be assigned to the third work order.

Step 103: Assign the three work orders to three different production teams.

Step 104: Each production team determines the bill of materials based on the production quantity and material input information of the corresponding work order.

Among them, the material list includes: material name, specifications, quantity, unit of measurement, work order, generation time, issue time, material extractor, extraction time and material placement location.

Step 105: extract materials according to the material list, and mix the materials through a mixing device. When the mixing device runs for a preset time, the mixing device data is collected regularly.

As an optional implementation, the periodic collection of mixing equipment data further includes:

The collected mixing equipment data is stored in the database.

As an optional implementation, the mixing equipment data includes: viscosity, humidity and particle size.

Step 106: Compare the collected mixing equipment data with the preset standard data, so as to remove defective products corresponding to the mixing equipment data inconsistent with the preset standard data.

Step 107: Start the coating equipment to perform coating work, and collect the thickness of the semi-finished product after coating in real time.

Step 108: Compare the collected thickness with the preset standard thickness, and debug the coating equipment according to the comparison result.

Step 109: After the coating equipment is debugged, the slitting and winding equipment is started, and the operation information and output result data of the slitting and winding equipment are obtained.

The operation information includes: operation status and alarm data, and the output result data includes: slitting width and roll length.

As an optional implementation, after obtaining the operation information and output result data of the slitting and winding equipment, it also includes:

Store the operation information and output result data into the database.

Furthermore, as shown in Figure 2, a factory lithium battery production line process rule engine is also provided. The detailed contents corresponding to each process in Figure 2 are shown in Table 1.

Table 1 Detailed contents of each process

In the entire workflow, multiple operations need to be performed, and each operation has multiple ways. The customizable rule engine can support this well. The specific steps are as follows:

Step 1: Obtain order information from the upstream Enterprise Resource Planning (ERP) system through the interface, and then store it in the "Order Table" in the MySQL relational database. Create three work orders with the same production quantity based on the obtained order quantity and the set work order production quantity. If the production quantities allocated to the three work orders are the same but there is an excess in the average distribution, or the production quantity allocated to the third work order is less than the set quantity but there is an excess in the distribution, the remaining production quantity will be assigned to the third work order.

Step 1 specifically includes: obtaining order information from the upstream ERP system through the interface, and then storing it in the "Order Table" in the MySQL relational database. According to the personalized production capacity, the order information is obtained from the "Order Table" in the relational database through the Select statement. According to the work order production quantity set by the operator, the Insert statement is executed three times in a loop to write to the database to complete the creation of three work orders (different production lines have different production capacities, and the set work order production quantities are also different. This time, the three production lines have the same production capacity, so the work order quantity is evenly distributed. If there is a remainder in the average distribution or the production quantity of the third work order is less than the set quantity, it will be attributed to the third work order). The rule code is configured on the "Click to Process" button of the process.

Step 2: Assign the three work orders created in step 1 to three different production teams respectively. Each production team has a corresponding work order person in charge.

Step 2 specifically includes: the production manager schedules shifts on the calendar, stores the shift schedule in the database through the insert statement, queries the shift schedule through the select statement when the work order is issued, selects the shift personnel, and matches the person in charge of each work order through the Update statement. At this stage, the process is executed in three branches according to three work orders. Configure the rule code on the "Click to Process" button of the process.

Step 3: Write the material feeding information of the corresponding work order into the database, and obtain the material list of the corresponding work order according to the production quantity and material feeding information of each work order; the production manager extracts the materials according to the material list, and mixes the materials through the mixing equipment. After the mixing equipment runs for 30 minutes, the equipment data is collected regularly and stored in the database; then the collected data is compared with the standard data (pre-configured product quality parameters) to remove defective products that do not meet the standards.

Step 3 specifically includes:

S3.1: Use the Insert statement to write the material information of the corresponding work order. Configure the rule code on the "Click to Process" button of the process.

The material information of the corresponding work order is written into the database through the Insert statement: the required quantity of each material corresponding to the product is extracted from the database through the Select statement; then the material list required for the work order is calculated based on the number of products included in the work order and the material category and quantity required for each product obtained. The material list needs to be confirmed by the production manager of the work order before the materials can be extracted from the warehouse. After the materials are extracted, the person who extracts the materials needs to be filled in the material extraction list, and the completion is confirmed after the materials are placed at the designated location.

S3.2: Call the Modbus driver to collect device data and write the results to the database through the Insert statement. The production equipment runs and sets this rule code to be executed regularly after 30 minutes.

S3.3: Use the Select statement to obtain the equipment data collected in step 3.2 (and the standard data (process product quality parameters configured in the system, different factories define their own corresponding standards based on national standards), compare the two data, and filter out defective products that do not meet the standards. Set this rule code to execute at a scheduled time.

S3.4: This step is completed, and the Update statement updates the work order progress to 1 (1 represents the mixing is complete). Configure this rule code on the "Click to Process" button of the process.

Step 4: After removing the defective products that do not meet the standards, start the coating equipment to carry out coating work; then collect the thickness of the semi-finished product after coating in real time through the third-party thickness gauge system; compare the collected coating thickness with the standard thickness, and debug the coating equipment according to the comparison results to ensure that the coating thickness within 5 cm is within the range of ±5% of the standard thickness; at the same time, the thickness of the semi-finished product after coating collected in real time by the third-party thickness gauge system is displayed.

Step 4 specifically includes:

S4.1: Call the coating equipment Sdk interface and send the pre-agreed start command to the corresponding equipment. Configure the rule code on the "Click to Process" button of the process.

S4.2: Through the HTTP interface, obtain the thickness of the semi-finished product after coating from the third-party thickness gauge system, and compare it with the set standard thickness (+5%) range to ensure that it does not exceed the standard thickness +5% within 5 cm continuously. According to the comparison results, debug the coating equipment (manual debugging) to make the thickness of the semi-finished product after coating meet the set standard thickness range.

S4.3: Obtain relevant data (thickness of semi-finished product after coating) from the third-party thickness gauge system through the HTTP interface and display the data. Set this rule code to be executed regularly after the start of production.

Step 4.4: This step is completed, and the Update statement updates the work order progress to 2 (2 represents coating completion). Configure the rule code on the "Click to Process" button of the process.

Step 5: After debugging the coating equipment, start the slitting and winding equipment, obtain the slitting and winding equipment operation information (including operation status and alarm data) and output result data (slitting width, roll length), and store the obtained information in the database.

Step 5 specifically includes:

S5.1: Call the Sdk interface of the slitting and winding equipment, and send the pre-agreed start command to the slitting and winding equipment. Configure the rule code on the "Click to Process" button of the process.

S5.2: By calling the Sdk interface of the slitting and winding equipment, obtain the relevant information of the slitting and winding equipment operation, monitor the equipment operation status and output result data in real time, monitor the completion status of this link in real time, execute the Insert statement to store the data in the database, and the operator will compare it with the standard parameters set for the products produced in this process to debug the equipment. Set this rule data collection code to be executed regularly.

S5.3: This step is completed, and the Update statement updates the work order progress to 3 (3 represents the completion of the splitting). Configure this rule code on the "Click to Process" button of the process.

Step 6: Use the Select statement to get the status of the three work orders. If the status is 3, it means that all work orders are completed. Execute the Update statement to change the order status to 1 (1 means completed).

Example 2

The operating system of the industrial production operation process in this embodiment includes:

The order information acquisition module is used to obtain order information of multiple orders; the order information includes the company to which the order belongs, product, model, product quantity, contact person, contact information, delivery time, order person in charge and order submission time.

The work order creation module is used to create three work orders based on the order quantity and the preset work order production quantity.

The allocation module is used to allocate three work orders to three different production shifts.

The material list determination module is used by each production team to determine the material list based on the production quantity and material input information of the corresponding work order; the material list includes: material name, specification, quantity, unit of measurement, work order, generation time, issuance time, material extractor, extraction time and material placement location.

The mixing module is used to extract materials according to the material list and mix the materials through the mixing equipment. When the mixing equipment runs for a preset time, the mixing equipment data is collected regularly.

The defective product removal module is used to compare the collected mixing equipment data with the preset standard data, so as to remove the defective products corresponding to the mixing equipment data inconsistent with the preset standard data.

The coating module is used to start the coating equipment to perform coating work and collect the thickness of the semi-finished product after coating in real time.

The coating module is used to compare the collected thickness with the preset standard thickness and debug the coating equipment according to the comparison results.

The slitting and winding module is used to start the slitting and winding equipment after the coating equipment is debugged, and obtain the operation information and output result data of the slitting and winding equipment; the operation information includes: operation status and alarm data, and the output result data includes: slitting width and roll length.

The visualized process mode of the present invention can better enable business personnel to participate in the design of software functions, and can dynamically configure and adjust parameters for complex business logic in the process and frequent process changes, so that relevant personnel can flexibly respond to various scenarios. It can give the software more practical power for both process designers and production participants.

In this specification, each embodiment is described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the embodiments can be referred to each other. For the system disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant parts can be referred to the method part.

This article uses specific examples to illustrate the principles and implementation methods of the present invention. The above examples are only used to help understand the method and core ideas of the present invention. At the same time, for those skilled in the art, according to the ideas of the present invention, there will be changes in the specific implementation methods and application scope. In summary, the content of this specification should not be understood as limiting the present invention.

Claims (8)

1. A method of operating an industrial process operation, the method comprising:

acquiring order information of a plurality of orders; the order information comprises a company, a product, a model, the number of products, contacts, contact information, delivery time, order responsible person and order submitting time to which the order belongs;

creating three work orders according to the number of orders and the number of preset work orders;

assigning three of the worksheets to three different production teams;

each production team determines a material bill according to the production quantity and the feeding information of the corresponding work bill; the bill of materials includes: the material name, specification, quantity, measurement unit, belonging work order, generation time, issuing time, material extraction person, extraction time and material placement place;

extracting materials according to a material bill, mixing the materials through mixing equipment, and collecting data of the mixing equipment at regular time when the mixing equipment runs for a preset time;

comparing the collected mixing equipment data with preset standard data, so as to remove defective products corresponding to mixing equipment data inconsistent with the preset standard data;

starting coating equipment to perform coating work, and collecting the thickness of a coated semi-finished product in real time;

comparing the acquired thickness with a preset standard thickness, and debugging the coating equipment according to the comparison result;

after the coating equipment is debugged, starting the slitting and winding equipment, and acquiring the operation information and the output result data of the slitting and winding equipment; the operation information includes: running state and alarm data, the output result data comprises: the width of the slit and the length of the roll.

2. The method of claim 1, wherein obtaining order information for a plurality of orders comprises:

the order information is obtained from an upstream enterprise resource planning system via an interface.

3. The method of claim 1, further comprising, after acquiring order information for a plurality of orders:

and storing the order information into an order table in a mysql relational library.

4. The method of claim 1, wherein creating three work orders based on the number of orders and the number of preset work orders, comprises:

and creating three work orders with the same production quantity according to the acquired order quantity and the preset work order production quantity, and if the three work orders are distributed with the same production quantity but are distributed with the rest on average or the third work orders are distributed with the rest, the rest production quantity is attributed to the third work orders.

5. The method of claim 1, wherein in the step of periodically collecting the data of the mixing device, the method further comprises:

and storing the collected mixing equipment data into a database.

6. The method of operating an industrial process according to claim 1, wherein the compounding equipment data comprises: viscosity, humidity and particle size.

7. The method of claim 1, further comprising, after obtaining the operation information and the output result data of the slitter-winder:

and storing the operation information and the output result data into a database.

8. An operating system for an industrial process operation, the system comprising:

the order information acquisition module is used for acquiring order information of a plurality of orders; the order information comprises a company, a product, a model, the number of products, contacts, contact information, delivery time, order responsible person and order submitting time to which the order belongs;

the work order creation module is used for creating three work orders according to the order quantity and the preset work order production quantity;

an allocation module for allocating the three work orders to three different production teams;

the material bill determining module is used for determining the material bill according to the production quantity and the feeding information of the corresponding work bill by each production team; the bill of materials includes: the material name, specification, quantity, measurement unit, belonging work order, generation time, issuing time, material extraction person, extraction time and material placement place;

the mixing module is used for extracting materials according to the material list, mixing the materials through mixing equipment, and collecting mixing equipment data at regular time when the mixing equipment runs for a preset time;

the defective product removing module is used for comparing the collected mixing equipment data with preset standard data so as to remove defective products corresponding to mixing equipment data inconsistent with the preset standard data;

the coating module is used for starting coating equipment to carry out coating work and collecting the thickness of the coated semi-finished product in real time;

the coating module is used for comparing the acquired thickness with a preset standard thickness and debugging coating equipment according to the comparison result;

the slitting and winding module is used for starting the slitting and winding equipment after the coating equipment is debugged, and acquiring the operation information and the output result data of the slitting and winding equipment; the operation information includes: running state and alarm data, the output result data comprises: the width of the slit and the length of the roll.