Food production line automation management method and system based on intelligent control

Abstract

The application belongs to the technical field of production line management, and discloses a food production line automatic management method and system based on intelligent control, which comprises the following steps: extracting a production line capable of producing a target product based on a product name, then formulating a production plan for a production order and assigning a production line based on preset rules, obtaining control information and initial operation parameters of each process on the target production line before production of the first production order, judging whether the target production line meets preset standards based on the control information and the initial operation parameters, and starting production when the target production line meets the preset standards, collecting and monitoring production progress information and product quality information of the first production order during order production, generating production plan adjustment suggestions or reminding information if production progress or product quality is abnormal, and sending the production plan adjustment suggestions or the reminding information to relevant personnel, and generating a delivery reminder after the first production order is completed. The technical scheme can improve the flexibility of production management and improve the overall production management level.

Description

Technical Field

[0001] This invention belongs to the field of production line management technology, specifically relating to an automated management method and system for food production lines based on intelligent control. Background Technology

[0002] With the rise of Industry 4.0, intelligent manufacturing has become a significant trend in the development of the manufacturing industry. In the food industry, automated production line management is key to improving production efficiency, ensuring product quality, and reducing costs. Traditional food production line management relies on manual operation and experience-based judgment, which is not only inefficient but also prone to human error, leading to unstable product quality and resource waste.

[0003] A similar prior art is disclosed in Chinese patent application CN117094603A, which discloses an automated management system for a medical functional food production line based on intelligent control. This system monitors the type and weight of raw materials for the medical functional food to be produced, and iterates through and matches the raw material type with a pre-stored raw material type weight table in a database to obtain the corresponding raw material type weight. It extracts the values ​​of the raw material type weight and weight, sorts and combines them to obtain a raw material monitoring array. When performing validity processing on the raw materials, it samples and tests the raw materials to obtain the corresponding peroxide value, and compares and classifies the obtained peroxide value with the corresponding peroxide value standard value of the raw material to obtain valid raw material analysis data consisting of normal or abnormal raw material labels. A new element is added to the position after the weight element in the raw material monitoring array and marked as an audit element. The values ​​associated with the normal or abnormal raw material labels in the valid raw material analysis data are added to the new element. The added raw material monitoring array and the valid raw material analysis data constitute raw material statistical processing information and are uploaded to a cloud platform. Based on the raw material statistical processing information, dynamic sampling inspections are implemented in the production process of the medical functional food production line, and the automated production is dynamically controlled. There is also a Chinese patent application with publication number CN116384719A, which discloses an automated management system for food production lines based on intelligent control and its implementation method. The system includes a task receiving unit, a task processing unit, an execution unit, a controller, and a remote monitoring and management module. The remote monitoring and management module monitors the operating status and production data of the food production line in real time, remotely controls the start and stop of the production line, adjusts parameters, monitors abnormal situations, and issues alarm notifications in a timely manner.

[0004] The aforementioned food production line management method manages the production process by implementing modular sampling inspections and data analysis or production monitoring in the early stages and during the production process. When abnormalities occur, production is stopped or an alarm is issued. However, it cannot adaptively adjust the production plan according to the actual production situation or conduct adaptive testing of the production line before production, resulting in poor production management effectiveness.

[0005] Therefore, providing an automated management method and system for food production lines based on intelligent control, in order to improve production efficiency and flexibility of production management while ensuring product quality, reducing costs, and enhancing the overall level of production management, is an urgent problem to be solved. Summary of the Invention

[0006] To address the aforementioned technical problems, this invention provides an automated management method and system for food production lines based on intelligent control.

[0007] In a first aspect, the present invention provides an automated management method for a food production line based on intelligent control, the method comprising the following steps:

[0008] Step 1: Receive the production order information sent by the customer and extract the product name from the production order information;

[0009] Step 2: Extract production lines capable of producing the target product based on the product name, then formulate a production plan for the production order based on preset rules, and allocate production lines to the production order according to the production plan. The target product is the product to be produced in the production order.

[0010] Step 3: Define the production order to be put into production as the first production order. Before the first production order starts production, obtain the control information and initial operating parameters of each process on the target production line. Based on the control information and initial operating parameters, determine whether the target production line meets the preset standards. If it does, start production. The target production line is the production line allocated to the first production order.

[0011] Step 4: During the production process of the first production order, collect and monitor the production progress information and product quality information of the first production order. If there is an abnormality in the production progress, generate a production plan adjustment suggestion or progress reminder information and send it to the management personnel. If there is an abnormality in the product quality, generate a quality reminder information and send it to the staff.

[0012] Step 5: After the first production order is completed, a shipping reminder will be generated.

[0013] Specifically, step 3 includes:

[0014] Step 31: Obtain the first control information of any control device in any process, and determine whether the first control information is consistent with the first standard control information corresponding to any control device. If yes, proceed to step 32; otherwise, wait for a first preset time and then repeat step 31 until the first control information is consistent with the first standard control information, and then proceed to step 32.

[0015] Step 32: Determine whether standard control information has been compared for all control equipment in all processes. If yes, proceed to step 33; otherwise, return to step 31.

[0016] Step 33: Obtain the first initial operating parameters of any operating equipment in any process, and determine whether the first initial operating parameters meet the first preset standard corresponding to any operating equipment. If yes, proceed to step 34; otherwise, wait for the second preset time and then repeat step 33 until the first initial operating parameters meet the first preset standard and proceed to step 34.

[0017] Step 34: Determine whether the initial operating parameters of all operating equipment in all processes have been compared. If yes, proceed to step 35; otherwise, return to step 33.

[0018] Step 35: Determine if the target production line meets the preset standards.

[0019] Specifically, in step 4, monitoring data of each process and each operating device is collected in real time, and it is determined whether the monitoring data meets the first preset condition. If it does, it is determined that there is a product quality abnormality. The monitoring data is the data of key parameters that affect product quality.

[0020] Specifically, it is determined whether the monitoring data meets the first preset condition. If it does, then it is determined that there is a product quality abnormality, including:

[0021] Acquire first monitoring data from any operating device, determine whether the first monitoring data meets the first data standard corresponding to any operating device. If not, determine that there is a product quality abnormality and send a first reminder message to the staff. If yes, determine whether the first monitoring data meets the second data standard corresponding to any operating device. If not, determine that there is a product quality abnormality and send a second reminder message to the staff. The quality reminder message includes the production number of the first production order, the device identifier of the operating device where the abnormality occurred, the data collection time, the abnormality type, and the first monitoring data. The quality reminder message is either the first reminder message or the second reminder message.

[0022] Specifically, the first reminder message is more important than the second reminder message.

[0023] Specifically, in step 4, the production schedule of the first production order is checked periodically. If the production schedule is updated, the first estimated total resource consumption value of the first production order is calculated. If the first estimated total resource consumption value meets the second preset condition, it is determined that there is an anomaly in the production progress. Then it is determined whether the first production order can be suspended. If not, a progress reminder message is generated and sent to the management personnel. If it can be suspended, a production plan adjustment suggestion or progress reminder message is generated and sent to the management personnel. The progress reminder message includes the production number of the first production order, the first estimated total resource consumption value, and the reason for the anomaly in the production progress.

[0024] Specifically, if the first estimated total resource consumption value meets the second preset condition, then determining that there is an abnormality in the production progress includes: obtaining the first planned total resource consumption value of the first production order, calculating the first difference between the first estimated total resource consumption value and the first planned total resource consumption value, and if the first difference is greater than the first preset value, then determining that there is an abnormality in the production progress.

[0025] Specifically, the method for generating production plan adjustment suggestions is as follows:

[0026] Step 41: Traverse the production plan table to determine if there are any production orders with product delivery dates before the first product delivery date. If so, define them as the first production order to be screened and proceed to step 42. If not, generate a progress reminder message and send it to the management personnel. The first product delivery date is the product delivery date of the first production order.

[0027] Step 42: Extract the second planned total resource consumption value of any first production order to be screened, and determine whether there is a production order whose second planned total resource consumption value is less than or equal to the first planned total resource consumption value. If there is, define it as the second production order to be screened, and then proceed to step 43. If there is no such order, generate a progress reminder message and send it to the management personnel.

[0028] Step 43: Develop a new production plan for the first production order and all second production orders to be screened, and based on the new production plan, calculate the third estimated total resource consumption value for the first production order and the second estimated total resource consumption value for any second production order to be screened.

[0029] Step 44: Generate production plan adjustment suggestions and send them to management personnel. The production plan adjustment suggestions include the new production plan, the first estimated total resource consumption value, the third estimated total resource consumption value, the second planned total resource consumption value and the second estimated total resource consumption value corresponding to any second production order to be screened.

[0030] Specifically, obtain feedback from management personnel; when the feedback is a confirmation message, return to step 3.

[0031] Secondly, the present invention also provides an automated management system for a food production line based on intelligent control, the system comprising: an order management system, a production planning system, a production line monitoring module, an intelligent management system, and a warehouse management system;

[0032] The order management system is used to receive production order information sent by customers and extract product names from the production order information;

[0033] The production planning system is used to extract production lines that can produce the target product based on the product name, then formulate a production plan for the production order based on preset rules, and allocate production lines to the production order according to the production plan. The target product is the product to be produced in the production order.

[0034] The production line monitoring module is used to define the production order to be put into production as the first production order. Before the first production order starts production, it obtains the control information and initial operating parameters of each process on the target production line. Based on the control information and initial operating parameters, it determines whether the target production line meets the preset standards. If it does, production starts. The target production line is the production line allocated to the first production order.

[0035] The intelligent management system is used to collect and monitor the production progress and product quality information of the first production order during the production process. If there is an abnormality in the production progress, it generates a production plan adjustment suggestion or progress reminder information and sends it to the management personnel. If there is an abnormality in the product quality, it generates a quality reminder information and sends it to the staff.

[0036] The warehouse management system is used to generate a shipping reminder after the first production order is completed.

[0037] Compared with the prior art, the beneficial effects of the present invention are at least as follows:

[0038] 1. Before an order is put into production, the control information and initial operating parameters of each process on the target production line are tested to ensure that the production line operates in the best state that meets the preset standards. This provides a solid foundation for the smooth progress of the entire production process and can ensure the stability of the production process, thereby ensuring that the product quality meets the standards.

[0039] 2. When abnormalities occur in production progress or resource consumption, the production plan is automatically adjusted to optimize resource allocation, improve production efficiency, and enhance the flexibility of production management.

[0040] 3. Monitor product quality to ensure that products meet quality standards, reduce the production of defective products, and provide graded early warnings for quality problems of different severity when product quality abnormalities occur. This enables staff to take appropriate measures according to the severity of the problem, thereby improving product quality and production efficiency, while also increasing the response speed to production abnormalities. Attached Figure Description

[0041] To more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on the provided drawings without creative effort.

[0042] Figure 1 The flowchart shows the automated management method for food production lines based on intelligent control according to the present invention.

[0043] Figure 2 This is a modular schematic diagram of the intelligent control-based automated management system for food production lines of the present invention. Detailed Implementation

[0044] To make the objectives, technical solutions, and advantages of this invention clearer, the invention will be further described in detail below with reference to the accompanying drawings and embodiments. Obviously, the specific embodiments described herein are merely illustrative of the invention and represent only a portion, not all, of the embodiments. All other embodiments obtained by those skilled in the art based on the embodiments of this invention without inventive effort are within the scope of protection of this invention.

[0045] It should be noted that if the embodiments of the present invention involve descriptions such as "first" and "second," these descriptions are for descriptive purposes only and should not be construed as indicating or implying their relative importance or implicitly specifying the number of technical features indicated. Therefore, a feature defined with "first" and "second" may explicitly or implicitly include at least one of those features. Furthermore, the technical solutions of the various embodiments can be combined with each other, but this must be based on the ability of those skilled in the art to implement them. When the combination of technical solutions is contradictory or impossible to implement, it should be considered that such a combination of technical solutions does not exist and is not within the scope of protection claimed by the present invention.

[0046] Figure 1 The diagram shows a flowchart of an embodiment of the intelligent control-based automated management method for food production lines provided by the present invention. The flowchart specifically includes the following steps:

[0047] Step 1: Receive the production order information sent by the customer and extract the product name from the production order information.

[0048] Preferably, the production order information also includes product quantity, product delivery date, customer information, and delivery address.

[0049] Step 2: Extract production lines capable of producing the target product based on the product name, then formulate a production plan for the production order based on preset rules, and allocate production lines to the production order according to the production plan. The target product is the product to be produced in the production order.

[0050] For example, the above-mentioned preset rules are used to set the order of production orders according to product delivery date, customer importance, order size, minimum changeover time and / or resource availability.

[0051] The factory can produce a variety of products (meat products, minced meat products, pastries, etc.). There may be multiple production lines for producing a particular product, and the same production line can produce multiple products. Based on product name retrieval, the factory determines which production lines have the capability and conditions to produce that product. Production orders using the same production line are grouped into a set. Then, based on preset rules, the production orders are sorted, and a production plan for the entire set is generated. A detailed production plan is also generated for each production order.

[0052] Step 3: Define the production order to be put into production as the first production order. Before the first production order starts production, obtain the control information and initial operating parameters of each process on the target production line. Based on the control information and initial operating parameters, determine whether the target production line meets the preset standards. If it does, start production. The target production line is the production line assigned to the first production order.

[0053] The aforementioned control information includes product specifications, production speed, operating mode, temperature setting, pressure setting, raw material ratio, packaging size, operating time, and stirring speed.

[0054] The initial operating parameters mentioned above include speed, temperature, pressure, humidity, cleanliness, and equipment calibration parameters (calibrated to 1, uncalibrated to 0).

[0055] Before production begins, the central control system sends the setting information corresponding to the products of the first production order to the control and operating equipment of each process. Each control and operating device then sets itself according to the aforementioned setting information to enter a ready-to-produce state. Preferably, staff can also manually set the control and operating equipment of each process according to the setting information corresponding to the products of the first production order.

[0056] Specifically, step 3 includes:

[0057] Step 31: Obtain the first control information of any control device in any process, and determine whether the first control information is consistent with the first standard control information corresponding to any control device. If yes, proceed to step 32; otherwise, wait for a first preset time and then repeat step 31 until the first control information is consistent with the first standard control information, and then proceed to step 32.

[0058] Step 32: Determine whether standard control information has been compared for all control equipment in all processes. If yes, proceed to step 33; otherwise, return to step 31.

[0059] Step 33: Obtain the first initial operating parameters of any operating device in any process, and determine whether the first initial operating parameters meet the first preset standard corresponding to any operating device. If yes, proceed to step 34; otherwise, wait for the second preset time and then repeat step 33 until the first initial operating parameters meet the first preset standard, and then proceed to step 34.

[0060] Step 34: Determine whether the initial operating parameters of all operating equipment in all processes have been compared. If yes, proceed to step 35; otherwise, return to step 33.

[0061] Step 35: Determine if the target production line meets the preset standards.

[0062] The first preset time and the second preset time can be set based on the experience of those skilled in the art or according to the actual application scenario, and the embodiments of this application are not limited in this regard.

[0063] Control equipment is equipment used to control any particular process, while operating equipment is equipment used to operate the product, such as weighing equipment, dough mixers, blenders, and cooking equipment. Control equipment and operating equipment can be the same piece of equipment or different pieces of equipment.

[0064] Before production begins, it is first determined whether the control information of each process and each control device, as well as the initial operating parameters of each operating device, meet the preset standards. If they all meet the standards, production can proceed. If not, it is necessary to wait until the control information of each control device and the initial operating parameters of each operating device meet the preset standards. Due to network transmission delays, equipment malfunctions, or other reasons, there may be instances where the control information of any control device or the initial operating parameters of any operating device do not meet the corresponding standards. In such cases, a preset time can be waited for a second test and comparison, or relevant personnel can be notified to handle the situation promptly to ensure compliance with production standards.

[0065] For example, in the production of pastries, semi-finished products need to be proofed. To ensure the proofing effect, the temperature of the proofing equipment needs to reach a preset temperature. Therefore, before production begins, control information containing temperature settings is sent to the control equipment in the proofing workshop to control the proofing equipment to start heating and raise its temperature to the preset temperature. Then, it is determined whether the temperature of the proofing equipment (first initial operating parameter) has reached the preset temperature (first preset standard). If it has, the standard is met; if not, it is necessary to wait until the temperature of the proofing equipment reaches the preset temperature. Here, the proofing equipment is the equipment for placing the semi-finished products to be proofed.

[0066] According to the technical solution of this invention, the control information and initial operating parameters of each process on the target production line are detected to ensure that everything is ready before the production line is started, thereby reducing production interruptions, improving production efficiency, and ensuring product quality. If any step fails the inspection, production will not proceed until all steps meet the standards.

[0067] Step 4: During the production process of the first production order, collect and monitor the production progress information and product quality information of the first production order. If there is an abnormality in the production progress, generate a production plan adjustment suggestion or progress reminder information and send it to the management personnel. If there is an abnormality in the product quality, generate a quality reminder information and send it to the staff.

[0068] The aforementioned managers and staff can be the same person, or they can be different people with different permissions and functions.

[0069] Real-time monitoring of production progress and product quality of production orders, and identification of abnormal situations in the production process, enables relevant personnel to understand what is happening on the production line in a timely manner, which helps to respond quickly to problems and reduce production interruptions and waste of resources.

[0070] Specifically, in step 4, monitoring data of each process and each operating device is collected in real time, and it is determined whether the monitoring data meets the first preset condition. If it does, it is determined that there is a product quality abnormality. The monitoring data is the data of key parameters that affect product quality.

[0071] The monitoring data mentioned above are key parameters that need to be monitored during the food production process to ensure food safety and quality, including temperature, humidity, pressure, pH value, chemical composition, physical properties, microbiological indicators, and processing time.

[0072] Specifically, it is determined whether the monitoring data meets the first preset condition. If it does, then it is determined that there is a product quality abnormality, including:

[0073] Acquire first monitoring data from any operating device, determine whether the first monitoring data meets the first data standard corresponding to any operating device. If not, determine that there is a product quality abnormality and send a first reminder message to the staff. If yes, determine whether the first monitoring data meets the second data standard corresponding to any operating device. If not, determine that there is a product quality abnormality and send a second reminder message to the staff. The quality reminder message includes the production number of the first production order, the device identifier of the operating device where the abnormality occurred, the data collection time, the abnormality type, and the first monitoring data. The quality reminder message is either the first reminder message or the second reminder message.

[0074] Specifically, the first reminder message is more important than the second reminder message.

[0075] The aforementioned first data standard is an industry standard and represents the bottom line for food safety. Failure to meet the first data standard indicates that the products in the operating equipment are substandard or unsafe and require immediate handling to prevent potential health risks.

[0076] The aforementioned second data standard is an internal standard set by the company to provide higher quality products. Failure to meet the second data standard may require further evaluation and adjustment to improve and optimize the production process and ensure the overall quality of the products.

[0077] According to the technical solution of the present invention, food safety and food quality can be monitored simultaneously based on monitoring data through a two-level data standard. When the first data standard is not met, a first reminder message with a high degree of urgency is used to issue a reminder. When the first data standard is met but the second data standard is not met, a second reminder message with a low degree of urgency is used to issue a reminder. On the basis of ensuring food safety, food quality can be further improved to meet consumers' demand for high-quality food and help enterprises improve production efficiency and market competitiveness.

[0078] Specifically, in step 4, the production schedule of the first production order is checked periodically. If the production schedule is updated, the first estimated total resource consumption value of the first production order is calculated. If the first estimated total resource consumption value meets the second preset condition, it is determined that there is an anomaly in the production progress. Then it is determined whether the first production order can be suspended. If not, a progress reminder message is generated and sent to the management personnel. If it can be suspended, a production plan adjustment suggestion or progress reminder message is generated and sent to the management personnel. The progress reminder message includes the production number of the first production order, the first estimated total resource consumption value, and the reason for the anomaly in the production progress.

[0079] Specifically, if the first estimated total resource consumption value meets the second preset condition, then determining that there is an abnormality in the production progress includes: obtaining the first planned total resource consumption value of the first production order, calculating the first difference between the first estimated total resource consumption value and the first planned total resource consumption value, and if the first difference is greater than the first preset value, then determining that there is an abnormality in the production progress.

[0080] The first preset value is set based on the experience of those skilled in the art or according to the actual application scenario, and the embodiments of this application are not limited in this regard.

[0081] The production schedule stores information such as product number, production line identifier, raw material identifier, whether any raw material has entered the factory, process identifier, whether any process has started, whether any process has been completed, and batch identifier.

[0082] The planned total resource consumption value is the total planned cost to complete the first production order, calculated using professional cost estimation software or spreadsheet tools before production, based on various costs in the production process (raw material costs, direct labor costs, energy consumption costs, equipment depreciation costs, inventory costs, transportation costs, etc.).

[0083] The estimated total resource consumption value is the total estimated cost of completing the first production order, calculated based on the actual total cost of completed processes and the estimated total cost of uncompleted processes. The estimated total cost is calculated using professional cost estimation software or spreadsheet tools based on the estimated raw material costs, estimated direct labor costs, estimated energy consumption costs, estimated equipment depreciation costs, estimated inventory costs, and estimated transportation costs of uncompleted processes.

[0084] During the production process, customer-mandated delays in delivery can increase inventory costs; equipment malfunctions in any process or delays in raw material supply can cause production line shutdowns, increasing labor and energy costs. All of these factors contribute to an increase in total resource consumption, causing the difference between the first estimated total resource consumption and the first planned total resource consumption to exceed the first preset value, resulting in production schedule anomalies.

[0085] In food processing, some processes, once started, cannot be stopped (such as dough rising); while others, once started, can be stopped by subsequent processes (such as halting production of the next batch after a certain batch is completed). When production progress is abnormal, first determine whether the first production order can be paused. If not, generate a progress reminder to alert management, enabling them to promptly grasp changes in production progress and costs and take appropriate measures.

[0086] Specifically, the method for generating production plan adjustment suggestions is as follows:

[0087] Step 41: Traverse the production plan table to determine if there are any production orders whose product delivery date is before the first product delivery date. If so, define them as the first production order to be screened and proceed to step 42. If not, generate a progress reminder message and send it to the management personnel. The first product delivery date is the product delivery date of the first production order.

[0088] Step 42: Extract the second planned total resource consumption value of any first production order to be screened, and determine whether there is a production order whose second planned total resource consumption value is less than or equal to the first planned total resource consumption value. If there is, define it as the second production order to be screened, and then proceed to step 43. If there is no such order, generate a progress reminder message and send it to the management personnel.

[0089] Step 43: Develop new production plans for the first production order and all second production orders to be screened, and based on the new production plans, calculate the third estimated total resource consumption value for the first production order and the second estimated total resource consumption value for any second production order to be screened.

[0090] Step 44: Generate production plan adjustment suggestions and send them to management personnel. The production plan adjustment suggestions include the new production plan, the first estimated total resource consumption value, the third estimated total resource consumption value, the second planned total resource consumption value and the second estimated total resource consumption value corresponding to any second production order to be screened.

[0091] Defining production orders with delivery dates prior to the first product delivery date as first-stage production orders ensures that production of these orders does not affect the delivery dates of the first production order when production plans are adjusted. Production is then carried out according to the new production plan, ensuring all product orders are delivered on time. Simultaneously, production orders with a second planned total resource consumption value less than or equal to the first planned total resource consumption value are defined as second-stage production orders. A lower planned total resource consumption value for the second-stage production order typically means it may require fewer resources (such as raw materials, labor, and time). This allows for more efficient use of limited production resources, improving production efficiency and helping to reduce potential additional costs associated with producing the first production order (i.e., the total resource consumption resulting from a first projected total resource consumption value exceeding the first planned total resource consumption value), thereby maintaining or reducing overall production costs.

[0092] According to the technical solution of the present invention, a new production plan is generated based on production orders whose product delivery date is earlier than the first product delivery date and whose planned total resource consumption is less than or equal to the first planned total resource consumption. This can ensure that production can be completed on time and delivery requirements can be met even if resources are reallocated, and reduce overall production costs. This enables enterprises to manage production plans more effectively, cope with uncertainties and changes in production, achieve cost control and profit maximization, thereby improving overall production efficiency and competitiveness.

[0093] Specifically, obtain feedback from management personnel; when the feedback is a confirmation message, return to step 3.

[0094] If the feedback is a confirmation message, it means that the management has approved the new production order. The new production order will then be designated as the new first production order. The process will then return to step 3 to re-check the control information and initial operating parameters of the production line, ensuring that everything is ready before the production line is started.

[0095] Step 5: After the first production order is completed, a shipping reminder will be generated.

[0096] Once a production order is completed and the products are ready to ship, a shipping reminder is generated to inform warehouse management or the logistics team that the products are ready for shipment. Simultaneously, customers can also be notified that their orders are complete and ready for shipment, which helps improve customer satisfaction and transparency.

[0097] Figure 2 The diagram shown is a structural schematic of an embodiment of the intelligent control-based automated management system for food production lines provided by this invention. Figure 2 As shown, the system includes: an order management system 10, a production planning system 20, a production line monitoring module 30, an intelligent management system 40, and a warehouse management system 50.

[0098] The order management system 10 is used to receive production order information sent by customers and extract product names from the production order information.

[0099] The production planning system 20 is used to extract production lines that can produce the target product based on the product name, then formulate a production plan for the production order based on preset rules, and allocate production lines to the production order according to the production plan, wherein the target product is the product to be produced by the production order.

[0100] The production line monitoring module 30 is used to define the production order to be put into production as the first production order. Before the first production order starts production, it obtains the control information and initial operating parameters of each process on the target production line. Based on the control information and initial operating parameters, it judges whether the target production line meets the preset standard. If it does, production starts. The target production line is the production line allocated to the first production order.

[0101] The intelligent management system 40 is used to collect and monitor the production progress and product quality information of the first production order during the production process. If there is an abnormality in the production progress, it generates a production plan adjustment suggestion or progress reminder information and sends it to the management personnel. If there is an abnormality in the product quality, it generates a quality reminder information and sends it to the staff.

[0102] Warehouse management system 50 is used to generate a shipping reminder after the first production order is completed.

[0103] It should be understood that although the steps in the flowcharts of the various embodiments of the present invention are shown sequentially according to the arrows, these steps are not necessarily executed in the order indicated by the arrows. Unless explicitly stated herein, there is no strict order restriction on the execution of these steps, and they can be executed in other orders. Moreover, at least some steps in the various embodiments may include multiple sub-steps or multiple stages. These sub-steps or stages are not necessarily completed at the same time, but can be executed at different times. The execution order of these sub-steps or stages is not necessarily sequential, but can be performed alternately or in turn with other steps or at least a portion of the sub-steps or stages of other steps.

[0104] Those skilled in the art will understand that all or part of the processes in the methods of the above embodiments can be implemented by a computer program instructing related hardware. The program can be stored in a non-volatile computer-readable storage medium, and when executed, it can include the processes of the embodiments of the above methods. Any references to memory, storage, databases, or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory can include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM), or flash memory. Volatile memory can include random access memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), dual data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link DRAM (SLDRAM), RAMbus direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and RAMbus dynamic RAM (RDRAM), etc.

[0105] The above-described embodiments merely illustrate preferred embodiments of the present invention, and while the descriptions are specific and detailed, they should not be construed as limiting the scope of the present invention. It should be noted that those skilled in the art can make various modifications and improvements without departing from the concept of the present invention, and these all fall within the scope of protection of the present invention. Therefore, the scope of protection of this patent should be determined by the appended claims.

Claims

1. A method for the automatic management of a food production line based on intelligent control, characterized in that, The method comprises the following steps: Step 1, receiving production order information sent by a customer, and extracting a product name from the production order information; Step 2, extracting a production line capable of producing a target product based on the product name, then formulating a production plan for the production order based on a preset rule, and allocating the production line to the production order according to the production plan, wherein the target product is a product to be produced by the production order; Step 3, defining a production order to be produced as a first production order, obtaining control information and initial running parameters of each process on a target production line before the first production order is produced, judging whether the target production line meets a preset standard based on the control information and the initial running parameters, and starting production if the target production line meets the preset standard, wherein the target production line is a production line allocated to the first production order; Step 4, collecting and monitoring production progress information and product quality information of the first production order during production of the first production order, generating a production plan adjustment suggestion or a progress reminder information if there is an abnormality in production progress, and sending the information to a manager, and generating a quality reminder information if there is an abnormality in product quality, and sending the information to a worker; Step 5, generating a delivery reminder after the first production order is completed; In the step 4, monitoring data of each operation device of each process is collected in real time, and it is judged whether the monitoring data meets a first preset condition, and it is determined that there is an abnormality in product quality if the monitoring data meets the first preset condition, wherein the monitoring data is data of a key parameter affecting product quality; The judgment of whether the monitoring data meets the first preset condition and the determination of the existence of the abnormality in product quality include: First monitoring data of any operation device is obtained, it is judged whether the first monitoring data meets a first data standard corresponding to any operation device, and it is determined that there is an abnormality in product quality if the first monitoring data does not meet the first data standard, first reminder information is sent to the worker, it is judged whether the first monitoring data meets a second data standard corresponding to any operation device if the first monitoring data meets the first data standard, and it is determined that there is an abnormality in product quality if the first monitoring data does not meet the second data standard, second reminder information is sent to the worker, wherein the quality reminder information includes a production number of the first production order, a device identifier of an operation device where the abnormality occurs, data collection time, an abnormality type, and the first monitoring data, and the quality reminder information is the first reminder information or the second reminder information; In the step 4, the production schedule of the first production order is periodically checked, if the production schedule is updated, the first estimated total resource consumption value of the first production order is calculated, if the first estimated total resource consumption value meets the second preset condition, it is determined that the production schedule is abnormal, then it is determined whether the first production order can be suspended, if not, the progress reminder information is generated and sent to the manager, if yes, the production plan adjustment suggestion or the progress reminder information is generated and sent to the manager, wherein the progress reminder information includes the production number of the first production order, the first estimated total resource consumption value and the reason why the production schedule is abnormal.

2. The method of claim 1, wherein, The step 3 comprises: Step 31, obtaining the first control information of any control device of any process, determining whether the first control information is consistent with the first standard control information corresponding to any control device, if yes, entering step 32, if not, waiting for a first preset time, then repeating the step 31 until the first control information is consistent with the first standard control information, entering step 32; Step 32, determining whether the standard control information comparison of all control devices of all processes is performed, if yes, entering step 33, if not, returning to the step 31; Step 33, obtaining the first initial running parameter of any operation device of any process, determining whether the first initial running parameter reaches the first preset standard corresponding to any operation device, if yes, entering step 34, if not, waiting for a second preset time, then repeating the step 33 until the first initial running parameter reaches the first preset standard, entering step 34; Step 34, determining whether the initial running parameter comparison of all operation devices of all processes is performed, if yes, entering step 35, if not, returning to the step 33; Step 35, determining that the target production line meets the preset standard.

3. The method of claim 1, wherein, The importance of the first reminder information is higher than that of the second reminder information.

4. The method of claim 1, wherein, If the first estimated total resource consumption value meets the second preset condition, it is determined that the production schedule is abnormal, which comprises: obtaining the first planned total resource consumption value of the first production order, calculating the first difference value between the first estimated total resource consumption value and the first planned total resource consumption value, if the first difference value is greater than a first preset value, it is determined that the production schedule is abnormal.

5. The method of claim 4, wherein, The production plan adjustment suggestion is generated by the following method: Step 41, traversing the production plan table, determining whether there is a production order with a product delivery date before a first product delivery date, if yes, defining it as a first to-be-screened production order, then entering step 42, if not, generating the progress reminder information and sending it to the manager, wherein the first product delivery date is the product delivery date of the first production order; Step 42, extracting a second planned total resource consumption value of any first production order to be screened, determining whether there is a production order with a second planned total resource consumption value less than or equal to the first planned total resource consumption value, if there is, defining it as a second production order to be screened, then entering step 43, if not, generating the progress reminder information and sending it to the manager; Step 43, making a new production plan for the first production order and all second production orders to be screened, and calculating a third estimated total resource consumption value of the first production order and a second estimated total resource consumption value of any second production order to be screened based on the new production plan; Step 44, generating the production plan adjustment suggestion and sending it to the manager, the production plan adjustment suggestion including the new production plan, the first estimated total resource consumption value, the third estimated total resource consumption value, the second planned total resource consumption value corresponding to any second production order to be screened and the second estimated total resource consumption value.

6. The method of claim 1, wherein, Obtaining feedback information of the manager, when the feedback information is confirmation information, returning to step 3.

7. An intelligent control based food production line automation management system for implementing the method according to any one of claims 1 to 6, characterized in that, Comprise: An order management system, a production planning system, a production line monitoring module, an intelligent management system and a warehouse management system; The order management system is used for receiving production order information sent by a customer and extracting a product name from the production order information; The production planning system is used for extracting a production line capable of producing a target product according to the product name, then making a production plan for a production order based on a preset rule, and allocating a production line to the production order according to the production plan, wherein the target product is a product to be produced by the production order; The production line monitoring module is used for defining a production order to be produced as a first production order, obtaining control information and initial running parameters of each process on a target production line before the first production order is produced, determining whether the target production line meets a preset standard based on the control information and the initial running parameters, and starting production if it meets the standard, wherein the target production line is a production line allocated to the first production order; The intelligent management system is used for collecting and monitoring production progress information and product quality information of the first production order during production of the first production order, generating a production plan adjustment suggestion or a progress reminder information and sending it to a manager if there is an abnormal production progress, and generating a quality reminder information and sending it to a worker if there is an abnormal product quality; The warehouse management system is used for generating a delivery reminder after the first production order is completed.

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