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

Abstract

The invention belongs to the technical field of production line management, and discloses a food production line automatic management method and system based on intelligent control, and the method comprises the steps: extracting a production line capable of producing a target product based on a product name, making a production plan for a production order based on a preset rule, and distributing the production line, before production of the first production order, control information and initial operation parameters of all procedures on the target production line are obtained, whether the target production line meets a preset standard or not is judged based on the control information and the initial operation parameters, and production is started when the target production line meets the preset standard; and the production schedule information and the product quality information of the first production order are collected and monitored, if the production schedule or the product quality is abnormal, production plan adjustment suggestion or reminding information is generated and sent to related personnel, and after the first production order is completed, delivery reminding is generated. According to the technical scheme, the flexibility of production management can be improved, and the overall production management level is improved.

Description

Technical Field

[0001] The present invention belongs to the technical field of production line management, and in particular relates to an automated management method and system for a food production line based on intelligent control. Background Art

[0002] With the rise of Industry 4.0, intelligent manufacturing has become an important trend in the development of the manufacturing industry. In the food industry, production line automation management is the key to improving production efficiency, ensuring product quality and reducing costs. Traditional food production line management relies on manual operation and experience judgment, which is not only inefficient but also prone to human errors, resulting in unstable product quality and waste of resources.

[0003] Similar prior art includes a Chinese patent application with publication number CN117094603A, which discloses an automated management system for a medical functional food production line based on intelligent control, which monitors the raw material type and weight of the medical functional food to be produced, and traverses and matches the raw material type with the raw material type weight table pre-stored in the database to obtain the corresponding raw material type weight; extracts the values ​​of the raw material type weight and weight and sorts and combines them to obtain a raw material monitoring array; when implementing validity processing on the raw materials, the raw materials are sampled and tested to obtain the corresponding peroxide value, and the peroxide value obtained by the test is compared and classified with the peroxide value standard value corresponding to the raw material to obtain raw material effective analysis data consisting of a normal raw material label or an abnormal raw material label; a new element is added to the position after the weight element in the raw material monitoring array and marked as an audit element, and the value associated with the normal raw material label or the abnormal raw material label in the raw material effective analysis data is added to the new element, and the added raw material monitoring array and the raw material effective analysis data constitute the raw material statistical processing information and upload it to the cloud platform; according to the raw material statistical processing information, dynamic sampling is performed on the production process of the medical functional food production line and automatic production is dynamically controlled. There is also a Chinese patent application with publication number CN116384719A, which discloses an automated management system for a food production line based on intelligent control and its implementation method, including 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, production data and other information of the food production line in real time, remotely controls the start and stop of the production line, adjusts parameters, etc., monitors abnormal conditions and issues alarm notifications in a timely manner.

[0004] The above-mentioned food production line management method manages the production process by implementing modular sampling and data analysis or production monitoring in the early stage and during the production process. When an abnormality occurs, production is stopped or an alarm is issued. The production plan cannot be adaptively adjusted according to the actual production situation, and the production line cannot be adaptively tested before production, resulting in poor production management results.

[0005] Therefore, it is an urgent problem to provide an automated management method and system for food production lines based on intelligent control to improve production efficiency and the flexibility of production management while ensuring product quality, reducing costs, and improving the overall production management level. Summary of the invention

[0006] In response to the above-mentioned technical problems, the present invention provides a method and system for automated management of a food production line based on intelligent control.

[0007] In a first aspect, the present invention provides a method for automated management of 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 the production line that can produce the target product based on the product name, then formulate a production plan for the production order based on the preset rules, and assign the production line to the production order according to the production plan, wherein the target product is the product to be produced by 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 is produced, obtain the control information and initial operation parameters of each process on the target production line. Based on the control information and the initial operation parameters, determine whether the target production line meets the preset standards. If yes, start production, where 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, the production progress information and product quality information of the first production order are collected and monitored. If there is an abnormality in the production progress, a production plan adjustment suggestion or progress reminder information is generated and sent to the management personnel. If there is an abnormality in the product quality, a quality reminder information is generated and sent to the staff;

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

[0013] Specifically, step 3 includes:

[0014] 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 so, proceeding to step 32, if not, waiting for a first preset time, and then repeating step 31 until the first control information is consistent with the first standard control information, and then proceeding to step 32;

[0015] Step 32: determine whether the standard control information comparison is performed for all control devices of all processes. If yes, proceed to step 33; if not, return to step 31;

[0016] Step 33, obtaining the first initial operating parameter of any operating device of any process, determining whether the first initial operating parameter reaches the first preset standard corresponding to any operating device, if yes, proceeding to step 34, if no, waiting for a second preset time, and then repeating step 33 until the first initial operating parameter reaches the first preset standard, and then proceeding to step 34;

[0017] Step 34: determine whether the initial operating parameters of all operating devices in all processes have been compared. If so, proceed to step 35; if not, return to step 33;

[0018] Step 35: Determine whether the target production line meets the preset standard.

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

[0020] Specifically, judging whether the monitoring data meets the first preset condition, and if so, judging that there is a product quality abnormality includes:

[0021] Obtain the first monitoring data of 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 so, 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, wherein the quality reminder information includes the production number of the first production order, the equipment identification of the operating device where the abnormality occurs, the data collection time, the abnormality type and the first monitoring data, and the quality reminder information is the first reminder information or the second reminder information.

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

[0023] Specifically, in 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 there is an abnormality in the production schedule, and 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 so, a production plan adjustment suggestion or a progress reminder message is generated and sent to the management personnel, wherein 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 abnormality in the production schedule.

[0024] Specifically, if the first estimated total resource consumption value meets the second preset condition, 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, 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 schedule to determine whether there is a production order with a product delivery date before the first product delivery date. If yes, it is defined as the first production order to be screened, and then go to step 42. If no, generate progress reminder information and send it to the management personnel, wherein the first product delivery date is the product delivery date of the first production order;

[0027] Step 42: extract the second planned resource total consumption value of any first production order to be screened, and determine whether there is a production order whose second planned resource total consumption value is less than or equal to the first planned resource total consumption value. If so, define it as the second production order to be screened, and then enter step 43. If not, generate progress reminder information and send it to the management personnel;

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

[0029] Step 44, generate a production plan adjustment suggestion and send it to the management personnel, the production plan adjustment suggestion includes a new production plan, a first estimated total resource consumption value, a third estimated total resource consumption value, a second planned total resource consumption value corresponding to any second production order to be screened, and a second estimated total resource consumption value.

[0030] Specifically, feedback information from the manager is obtained, and when the feedback information is confirmation information, return to step 3.

[0031] In a second aspect, the present invention also provides a food production line automation management system 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 the production order information sent by the customer and extract the product name from the production order information;

[0033] A production planning system is used to extract production lines that can produce target products according to product names, 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;

[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 is produced, the control information and initial operation parameters of each process on the target production line are obtained, and based on the control information and the initial operation parameters, it is determined whether the target production line meets the preset standards. If it meets the standards, production is started, wherein 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 information and product quality information of the first production order during the production process of the first production order. If there is an abnormality in the production progress, a production plan adjustment suggestion or progress reminder information is generated and sent to the management personnel. If there is an abnormality in the product quality, a quality reminder information is generated and sent to the staff.

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

[0037] Compared with the prior art, the present invention has at least the following beneficial effects:

[0038] 1. Before the 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 in accordance with the preset standards, which 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 production progress or resource consumption is abnormal, automatically adjust the production plan, optimize resource allocation, improve production efficiency and flexibility of production management;

[0040] 3. Monitor product quality to ensure that products meet quality standards and reduce the production of defective products. When there are abnormalities in product quality, provide graded warnings for quality problems of different severity so that staff can take appropriate measures according to the severity of the problem, thereby improving product quality and production efficiency while increasing the speed of response to production abnormalities. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] 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 or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only embodiments of the present invention. For ordinary technicians in this field, other drawings can be obtained based on the provided drawings without paying creative work.

[0042] Figure 1 It is a flow chart of the food production line automation management method based on intelligent control of the present invention;

[0043] Figure 2 It is a modular schematic diagram of the food production line automation management system based on intelligent control of the present invention. DETAILED DESCRIPTION

[0044] In order to make the purpose, technical scheme and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with the accompanying drawings and embodiments. Obviously, the specific embodiments described herein are only used to explain the present invention and are part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work belong to the scope of protection of the present invention.

[0045] It should be noted that if there are descriptions involving "first", "second", etc. in the embodiments of the present invention, the descriptions of "first", "second", etc. are only used for descriptive purposes and cannot be understood as indicating or implying their relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features defined as "first" and "second" may explicitly or implicitly include at least one of the features. In addition, the technical solutions between the various embodiments can be combined with each other, but they must be based on the ability of ordinary technicians in the field to implement them. When the combination of technical solutions is contradictory or cannot be implemented, it should be deemed that such a combination of technical solutions does not exist and is not within the scope of protection required by the present invention.

[0046] Figure 1 FIG. 1 is a flow chart of an embodiment of a method for automated management of a food production line based on intelligent control provided by the present invention, and the flow chart 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, delivery address, etc.

[0049] Step 2: Extract the production line 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 assign the production line to the production order according to the production plan, where the target product is the product to be produced by the production order.

[0050] Exemplarily, the above-mentioned preset rules are to set the order of production orders according to product delivery date, customer importance, order size, minimization of line change time and / or resource availability.

[0051] A factory can produce a variety of products (canned meat products, minced meat products, pastries, etc.). There may be multiple production lines for a certain product, and the same production line can produce multiple products. Based on the product name, it is retrieved and determined which production lines have the ability and conditions to produce the product, and the production orders produced using the same production line are divided into a set. Then, based on the preset rules, the production orders are sorted and a production plan for the entire set is formulated, and a detailed production plan is formulated for each production order.

[0052] Step 3: Define the production order that is about to enter production as the first production order. Before the first production order is produced, obtain the control information and initial operating parameters of each process on the target production line. Based on the control information and the initial operating parameters, determine whether the target production line meets the preset standards. If yes, start production, where the target production line is the production line assigned to the first production order.

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

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

[0055] Before the production line starts production, the central control system sends the setting information corresponding to the product of the first production order to the control equipment and operating equipment of each process, and each control equipment and each operating equipment are set according to the above setting information, so that each control equipment and each operating equipment enters the waiting state for production. Preferably, the staff can also manually set the control equipment and operating equipment of each process according to the setting information corresponding to the product 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 so, proceed to step 32; if not, 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 the standard control information comparison has been performed on all control devices of all processes. If so, proceed to step 33, if not, return to step 31.

[0059] Step 33, obtain the first initial operating parameters of any operating equipment in any process, and determine whether the first initial operating parameters reach the first preset standard corresponding to any operating equipment. If so, proceed to step 34; if not, wait for the second preset time, and then repeat step 33 until the first initial operating parameters reach 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 so, go to step 35, if not, return to step 33.

[0061] Step 35: Determine whether the target production line meets the preset standard.

[0062] The first preset time and the second preset time are set according to the experience of those skilled in the art or according to actual application scenarios, and the embodiments of the present application are not limited to this.

[0063] Control equipment is equipment that controls the operation of any process, and operating equipment is equipment that operates products, such as weighing equipment, dough mixers, blenders, cooking equipment, etc. Control equipment and operating equipment can be the same equipment or different equipment.

[0064] Before the production line starts production, first determine whether the control information of each control device in each process and the initial operating parameters of each operating device meet the preset standards. If they all meet, production can be carried out. 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 failures and other reasons, the control information of any control device or the initial operating parameters of any operating device may not meet the corresponding standards. At this time, you can wait for the preset time to conduct another test and comparison, or notify the relevant staff to handle it in time to make it meet the production standards.

[0065] For example, when producing pastries, semi-finished products need to be proofed. To ensure the proofing effect of the pastries, the temperature of the proofing equipment needs to reach a preset temperature. Therefore, before starting production, control information containing temperature settings is sent to the control equipment of the proofing workshop to control the proofing equipment in the proofing workshop to start heating so that its temperature rises to the preset temperature. Then, it is determined whether the temperature (first initial operating parameter) of the proofing equipment reaches the preset temperature (first preset standard). If it reaches the standard, it meets the standard. If not, it is necessary to wait until the temperature of the proofing equipment reaches the preset temperature. Among them, the proofing equipment is a device for placing semi-finished products to be proofed.

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

[0067] Step 4. During the production process of the first production order, the production progress information and product quality information of the first production order are collected and monitored. If there are any abnormalities in the production progress, a production plan adjustment suggestion or progress reminder information is generated and sent to the management personnel. If there are any abnormalities in the product quality, a quality reminder information is generated and sent to the staff.

[0068] The above-mentioned managers and staff may be the same person or different persons with different authority and functions.

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

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

[0071] The above monitoring data 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, processing time, etc.

[0072] Specifically, judging whether the monitoring data meets the first preset condition, and if so, judging that there is a product quality abnormality includes:

[0073] Obtain the first monitoring data of 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 so, 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, wherein the quality reminder information includes the production number of the first production order, the equipment identification of the operating device where the abnormality occurs, the data collection time, the abnormality type and the first monitoring data, and the quality reminder information is the first reminder information or the second reminder information.

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

[0075] The above-mentioned first data standard is an industry standard and the bottom line of food safety. Failure to meet the first data standard indicates that the products in the operating equipment are substandard or unsafe and need to be processed immediately to prevent potential health risks.

[0076] The above-mentioned second data standard is an internal standard set by the enterprise in order to provide higher quality products. If the second data standard is not met, further evaluation and adjustment may be required to improve and optimize the production process and ensure the overall quality of the product.

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

[0078] Specifically, in 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 there is an abnormality in the production schedule, and 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 so, a production plan adjustment suggestion or a progress reminder message is generated and sent to the management personnel, wherein 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 abnormality in the production schedule.

[0079] Specifically, if the first estimated total resource consumption value meets the second preset condition, 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, determining that there is an abnormality in the production progress.

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

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

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

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

[0084] During the production process, delayed delivery due to customer requirements will increase inventory costs, abnormal equipment in any process or delayed supply of product raw materials will cause the production line to be suspended, increasing labor costs, energy consumption costs, etc. All of the above reasons will cause the total resource consumption value to increase, making the difference between the first estimated total resource consumption value and the first planned total resource consumption value greater than the first preset value, resulting in abnormal production progress.

[0085] In the food processing process, some processes cannot be stopped once they are started (such as dough fermentation); some processes can be stopped after they are started (such as stopping the production of the next batch after a batch is completed). When there is an abnormality in the production progress, first determine whether the first production order can be suspended. If not, generate progress reminder information to provide management personnel with attention, so that management personnel can grasp the production progress and production cost change information in a timely manner and take corresponding measures.

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

[0087] Step 41, traverse the production schedule to determine whether there is a production order with a product delivery date before the first product delivery date. If so, define it as the first production order to be screened, and then enter step 42. If not, generate progress reminder information and send it to the management personnel, where the first product delivery date is the product delivery date of the first production order.

[0088] Step 42, extract the second planned resource total consumption value of any first production order to be screened, and determine whether there is a production order whose second planned resource total consumption value is less than or equal to the first planned resource total consumption value. If so, define it as the second production order to be screened, and then enter step 43. If not, generate progress reminder information and send it to the management personnel.

[0089] Step 43: formulate 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 of the first production order and the second estimated total resource consumption value of any second production order to be screened.

[0090] Step 44, generate a production plan adjustment suggestion and send it to the management personnel, the production plan adjustment suggestion includes a new production plan, a first estimated total resource consumption value, a third estimated total resource consumption value, a second planned total resource consumption value corresponding to any second production order to be screened, and a second estimated total resource consumption value.

[0091] Defining the production orders whose product delivery dates are before the first product delivery date as the first production orders to be screened can ensure that when the production plan is adjusted, the production of the first production orders to be screened will not affect the delivery date of the first production order. All product orders can be delivered on schedule by carrying out production according to the new production plan. At the same time, the production orders whose second planned total resource consumption value is less than or equal to the first planned total resource consumption value are defined as the second production orders to be screened. If the planned total resource consumption value of the second production order to be screened is lower, it usually means that it may require fewer resources (such as raw materials, labor and time). This can make more efficient use of limited production resources, improve production efficiency, and help reduce the additional costs that may be caused by producing the first production order (that is, the total resource consumption value caused by the first estimated total resource consumption value being higher than the first planned total resource consumption value), thereby maintaining or reducing the overall production cost.

[0092] According to the technical solution of the present invention, a new production plan is generated based on a production order whose product delivery date is earlier than the first product delivery date and whose total planned resource consumption value is less than or equal to the first planned resource consumption value. This can ensure that production can be completed on time and delivery requirements can be met even in the case of resource reallocation, and the overall production cost can be reduced, so that the enterprise can 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, feedback information from the manager is obtained, and when the feedback information is confirmation information, return to step 3.

[0094] When the feedback information is confirmation information, it means that the manager approves the new production order, and the new production order is used as the new first production order, then return to step 3, re-check the control information and initial operation parameters of the production line to ensure that everything is ready before the production line is started.

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

[0096] When the production order is completed and the product is ready to ship, a shipping reminder is generated to inform the warehouse manager or logistics team that the product is ready for shipment. At the same time, customers can also be notified that their order is completed and ready to ship, which helps improve customer satisfaction and transparency.

[0097] Figure 2 FIG. 1 is a schematic diagram of a structure of an embodiment of an automatic management system for a food production line based on intelligent control provided by the present 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 the production order information sent by the customer and extract the product name from the production order information.

[0099] The production planning system 20 is used to extract the production line that can produce the target product according to the product name, and then formulate a production plan for the production order based on preset rules, and allocate the production line 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 that is about to enter production as the first production order. Before the first production order is produced, the control information and initial operating parameters of each process on the target production line are obtained, and based on the control information and the initial operating parameters, it is determined whether the target production line meets the preset standards. If it does, production is started, wherein the target production line is the production line assigned to the first production order.

[0101] The intelligent management system 40 is used to collect and monitor the production progress information and product quality information of the first production order during the production process of the first production order. 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] The warehouse management system 50 is used to generate a delivery reminder after the first production order is completed.

[0103] It should be understood that, although each step in the flow chart of each embodiment of the present invention is shown in sequence according to the indication of the arrow, these steps are not necessarily performed in sequence according to the order indicated by the arrow. Unless there is a clear explanation in this article, the execution of these steps does not have a strict order restriction, and these steps can be performed in other orders. Moreover, at least a portion of the steps in each embodiment may include a plurality of sub-steps or a plurality of stages, and these sub-steps or stages are not necessarily performed at the same time, but can be performed at different times, and the execution order of these sub-steps or stages is not necessarily performed in sequence, but can be performed in turn or alternately with at least a portion of other steps or sub-steps or stages of other steps.

[0104] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program. The above-mentioned program can be stored in a non-volatile computer-readable storage medium. When the program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application can include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in various forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0105] The above-mentioned embodiments only express the preferred implementation mode of the present invention, and the description thereof is relatively specific and detailed, but it cannot be understood as limiting the scope of the patent of the present invention. It should be pointed out that, for ordinary technicians in this field, several variations and improvements can be made without departing from the concept of the present invention, which all belong to the protection scope of the present invention. Therefore, the protection scope of the patent of the present invention shall be subject to the attached claims.

Claims

1. A food production line automation management method based on intelligent control, characterized in that: The steps include: Step 1: Receive production order information sent by the customer, and extract the product name from the production order information; Step 2: extracting the production line that can produce the target product based on the product name, then formulating a production plan for the production order based on preset rules, and allocating the production line to the production order according to the production plan, wherein the target product is the product to be produced by the production order; Step 3: define the production order to be put into production as the first production order. Before the first production order is produced, obtain the control information and initial operation parameters of each process on the target production line. Based on the control information and the initial operation parameters, determine whether the target production line meets the preset standards. If yes, start production, wherein the target production line is the production line allocated to the first production order. Step 4: During the production process of the first production order, the production progress information and product quality information of the first production order are collected and monitored. If there is an abnormality in the production progress, a production plan adjustment suggestion or progress reminder information is generated and sent to the management personnel. If there is an abnormality in the product quality, a quality reminder information is generated and sent to the staff; Step 5: After the first production order is completed, a delivery reminder is generated.

2. The method according to claim 1, characterized in that 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 of the control devices, if so, proceeding to step 32, if not, waiting for a first preset time, and then repeating step 31 until the first control information is consistent with the first standard control information, and then proceeding to step 32; Step 32: determine whether the standard control information comparison is performed on all control devices of all processes. If yes, proceed to step 33; if not, return to step 31; Step 33, obtaining the first initial operating parameter of any operating device of any of the processes, and determining whether the first initial operating parameter reaches the first preset standard corresponding to any of the operating devices. If so, proceed to step 34; if not, wait for a second preset time, and then repeat step 33 until the first initial operating parameter reaches the first preset standard, and then proceed to step 34; Step 34, determining whether the initial operating parameters of all operating devices in all processes have been compared, if so, proceeding to step 35, if not, returning to step 33; Step 35: Determine whether the target production line meets the preset standard.

3. The method according to claim 1, characterized in that: In step 4, monitoring data of each operating device in each process is collected in real time to determine whether the monitoring data meets the first preset condition. If so, it is determined that there is a product quality abnormality, wherein the monitoring data is data of key parameters that affect product quality.

4. The method according to claim 3, characterized in that The determining whether the monitoring data satisfies the first preset condition, and if so, determining that there is a product quality abnormality includes: Obtain the first monitoring data of any operating device, determine whether the first monitoring data meets the first data standard corresponding to any of the operating devices, if not, determine that there is a product quality abnormality, and send a first reminder message to the staff; if so, determine whether the first monitoring data meets the second data standard corresponding to any of the operating devices, if not, determine that there is a product quality abnormality, and send a second reminder message to the staff, wherein the quality reminder information includes the production number of the first production order, the equipment identification of the operating device where the abnormality occurs, the data collection time, the abnormality type and the first monitoring data, and the quality reminder information is the first reminder information or the second reminder information.

5. The method according to claim 4, characterized in that The first reminder information is more important than the second reminder information.

6. The method according to claim 1, characterized in that In 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 there is an abnormality in the production schedule, and then it is determined whether the first production order can be suspended. If not, the progress reminder information is generated and sent to the management personnel. If yes, the production plan adjustment suggestion or the progress reminder information is generated and sent to the management personnel, wherein the progress reminder information includes the production number of the first production order, the first estimated total resource consumption value and the reason for the abnormality in the production schedule.

7. The method according to claim 6, characterized in that If the first estimated total resource consumption value meets the second preset condition, 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, determining that there is an abnormality in the production progress.

8. The method according to claim 7, characterized in that The method for generating the production plan adjustment suggestion is: Step 41, traverse the production schedule to determine whether there is a production order whose product delivery date is before the first product delivery date. If yes, define it as the first production order to be screened, and then enter step 42. If no, generate the progress reminder information and send it to the management personnel, wherein the first product delivery date is the product delivery date of the first production order; Step 42: extract the second planned resource total consumption value of any first production order to be screened, determine whether there is a production order whose second planned resource total consumption value is less than or equal to the first planned resource total consumption value, if so, define it as the second production order to be screened, and then enter step 43; if not, generate the progress reminder information and send it to the management personnel; Step 43: formulate a new production plan for the first production order and all second production orders to be screened, and calculate the third estimated total resource consumption value of the first production order and the second estimated total resource consumption value of any second production order to be screened based on the new production plan; Step 44, generate the production plan adjustment suggestion and send it to the management personnel, the production plan adjustment suggestion includes 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.

9. The method according to claim 1, characterized in that: Obtain feedback information from the manager, and when the feedback information is confirmation information, return to step 3.

10. An automated food production line management system based on intelligent control, used to implement the method according to any one of claims 1 to 9, characterized in that: include: Order management system, production planning system, production line monitoring module, intelligent management system and warehouse management system; The order management system is used to receive production order information sent by customers and extract product names from the production order information; The production planning system is used to extract the production line that can produce the target product according to the product name, then formulate a production plan for the production order based on a preset rule, and allocate a production line to the production order according to the production plan, wherein the target product is the product to be produced by the production order; The production line monitoring module is used to define the production order to be put into production as the first production order, obtain the control information and initial operation parameters of each process on the target production line before the first production order is produced, and judge whether the target production line meets the preset standards based on the control information and the initial operation parameters, and start production if it meets the standards, wherein the target production line is the production line allocated to the first production order; The intelligent management system is used to collect and monitor the production progress information and product quality information of the first production order during the production process of the first production order, and 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; The warehouse management system is used to generate a delivery reminder after the first production order is completed.

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