Carton production intelligent management and control method and system for unmanned workshop

Abstract

This invention relates to the field of workshop management technology, specifically to an intelligent management method and system for cardboard box production in unmanned workshops. The method includes: acquiring the current production status parameters of the main control terminal and each production workstation within the workshop; calculating the current total production load of each production workstation based on these parameters; determining whether a new production order needs to be allocated to the workshop based on the current total production load and the workshop's rated production load; and allocating the new production order to the workshop if the current total production load and rated production load necessitate allocation. By acquiring the status parameters and total production load of each production workstation in real time, this invention can accurately determine when a new order needs to be allocated, thereby optimizing production resource allocation and maximizing production efficiency.

Description

Technical Field

[0001] This invention relates to the field of workshop management technology, specifically to an intelligent management and control method and system for cardboard box production in unmanned workshops. Background Technology

[0002] Currently, traditional methods often rely on manual recording and data input, resulting in untimely information updates. This lag makes it difficult for managers to grasp the actual status of the production line in real time and to make quick responses. Moreover, due to the lack of dynamic monitoring, traditional methods often cannot adjust resource allocation according to actual needs, which can easily cause some workstations to be overloaded while other workstations are idle, thus affecting overall production efficiency.

[0003] Furthermore, when faced with emergencies or order changes, the adjustment process of traditional methods is usually slow and cannot effectively meet the rapid changes in the market and the urgent needs of customers. Moreover, traditional scheduling methods often fail to fully consider the priority of orders, which may lead to the untimely processing of important orders, thereby affecting customer satisfaction and corporate reputation. In addition, traditional methods lack flexible scheduling mechanisms when dealing with diversified production needs, making it difficult to adapt to different types and sizes of orders, thus limiting the competitiveness of enterprises. Summary of the Invention

[0004] To achieve the above objectives, the present invention provides the following technical solution: an intelligent control method for cardboard box production in unmanned workshops, comprising: Obtain the current production status parameters of the main control terminal and each production workstation in the current workshop; calculate the current total production load of each production workstation based on the current production status parameters; Determine whether new production orders need to be allocated to the current workshop based on the current total production load and the rated production load of the current workshop; If it is determined that a new production order needs to be allocated to the current workshop based on the current total production load and the rated production load of the current workshop, then the new production order is allocated to the current workshop, and the process jumps to the step of obtaining the current production status parameters of the main control terminal and each production workstation in the current workshop, until it is determined that no new production order needs to be allocated to the current workshop based on the current total production load and the rated production load of the current workshop. Get the current operating speed of each production workstation and each newly assigned order; get the current production energy consumption of each newly assigned order; Calculate the new current total production load for each production workstation and each newly assigned order based on the current production energy consumption and current total production load of each newly assigned order; adjust the current operating speed based on the new current total production load and rated production load.

[0005] Preferably, determining whether to allocate new production orders to the current workshop based on the current total production load and the current workshop's rated production load includes: The first load difference is obtained by determining the difference between the rated production load and the current total production load; Determine whether the first load difference is greater than the preset load warning threshold; If the first load difference is greater than the preset load warning threshold, it is determined that a new production order needs to be allocated to the current workshop.

[0006] Preferably, after determining that a new production order needs to be allocated to the current workshop based on the current total production load and the rated production load of the current workshop, the method further includes: Obtain the urgency coefficients of several pending production orders outside the current workshop; Determine the highest urgency coefficient among all urgency coefficients; Accordingly, new production orders are allocated to the current workshop, including: Assign the production orders corresponding to the highest urgency level to the current workshop.

[0007] Preferably, the current operating speed of each production workstation and each newly assigned order is obtained, including: The real-time values ​​of the X-axis and Y-axis coordinates of the carton in the global coordinate system are determined based on the current production status parameters of the production workstation. The basic operating speed of the carton forming machine and the carton sealing machine is calculated based on the real-time values ​​of the X-axis and Y-axis coordinates. The base operating speed is used as the current operating speed for each production workstation and each newly assigned order.

[0008] Preferably, the new current total production load corresponding to each production workstation and each newly assigned order is calculated based on the current production energy consumption and current total production load of each newly assigned order, including: The initial load is obtained by adding the current total production load to the current production energy consumption of each newly assigned order; The load correction value is calculated based on the initial load and the preset energy consumption weighting coefficient; The sum of the initial load and the load correction value is used as the new current total production load for each production workstation and each newly assigned order.

[0009] Preferably, adjusting each current operating speed based on the new current total production load and rated production load includes: The second load difference is obtained by determining the difference between the rated production load and the new current total production load; Adjust each current operating speed based on the second load difference and the preset load warning threshold.

[0010] Preferably, adjusting each current operating speed based on the second load difference and a preset load warning threshold includes: Determine whether the second load difference is less than the preset load warning threshold; If the second load difference is less than the preset load warning threshold, the speed change for each production workstation and each newly assigned order is determined based on the second load difference and the correspondence between load and speed. The instructions corresponding to each speed change are transmitted to each production workstation and each newly assigned order.

[0011] Preferably, after obtaining the current production status parameters of the main control terminal and each production workstation in the current workshop, the method further includes: Construct the primitive kinematic model of the cardboard box production line. The primitive kinematic model is used to describe the relationship between the production progress vector and the production speed vector. The original kinematic model is linearized to construct an error tracking model for the carton production line. The error tracking model is used to describe the linear relationship between the continuous production progress tracking error vector and the production speed error vector. Based on the preset sampling time, the error tracking model is discretized to obtain a discretized error tracking model; Accordingly, based on the discretized error tracking model and production status information, the carton forming speed error and carton sealing speed error are obtained to assist in calculating the current operating speed.

[0012] Preferably, after adjusting each current operating speed based on the new current total production load and rated production load, the method further includes: The reference values ​​for carton forming speed and carton sealing speed are calculated based on the real-time value of the running speed and the reference value of the production cycle. Based on the discretized error tracking model and production status information, the carton forming speed error and carton sealing speed error are obtained; The expected value of the carton forming speed is calculated based on the carton forming speed error and the reference value of the carton forming speed. The expected value of the carton sealing speed is calculated based on the carton sealing speed error and the reference value of the carton sealing speed. Generate equipment control instructions, including the expected values ​​for carton forming speed and carton sealing speed, and send them to the corresponding production workstations.

[0013] An intelligent control system for cardboard box production in unmanned workshops, applicable to the aforementioned intelligent control methods for cardboard box production in unmanned workshops, including: The load calculation unit is used to obtain the current production status parameters of the main control terminal and each production workstation in the current workshop; and to calculate the current total production load of each production workstation based on the current production status parameters. The allocation judgment unit is used to determine whether a new production order needs to be allocated to the current workshop based on the current total production load and the rated production load of the current workshop; The workshop allocation unit is used to allocate new production orders to the current workshop if it is determined that new production orders need to be allocated to the current workshop based on the current total production load and the rated production load of the current workshop, and then jump to the step of obtaining the current production status parameters of the main control terminal and each production workstation in the current workshop, until it is determined that no new production orders need to be allocated to the current workshop based on the current total production load and the rated production load of the current workshop. The data acquisition unit is used to obtain the current operating speed of each production workstation and each newly assigned order; and to obtain the current production energy consumption of each newly assigned order. The speed adjustment unit is used to calculate the new current total production load corresponding to each production workstation and each newly assigned order based on the current production energy consumption and current total production load of each newly assigned order; and to adjust the current operating speed based on the new current total production load and rated production load.

[0014] Compared with the prior art, the beneficial effects of the present invention are: (1) By acquiring the status parameters and total production load of each production workstation in real time, this invention can accurately determine when new orders need to be allocated, thereby optimizing the allocation of production resources and maximizing production efficiency. Moreover, by calculating the current and new total production load, dynamic management of the production line load can be achieved, ensuring that the load during the production process remains within a reasonable range, avoiding overload or waste of resources. Furthermore, by considering the urgency coefficient of the orders, it helps to prioritize important orders in the case of multiple orders, thereby improving the level of intelligent production scheduling. (2) This invention can effectively control the production speed by adjusting the operating speed of each workstation based on the load difference and preset threshold, ensuring that the production line operates in the best state, thereby improving product quality and production stability. Furthermore, by calculating the production energy consumption of each newly allocated order and performing load correction, it can better control and reduce the overall production energy consumption, thereby enhancing the sustainable development capability of the enterprise. By constructing a kinematic model and an error tracking model, the monitoring of the production status becomes more accurate, enabling timely feedback and correction of problems in the production process, and improving the reliability of the production process. Attached Figure Description

[0015] Figure 1 This is a schematic flowchart of the overall method in one embodiment of the present invention; Figure 2 This is a schematic diagram of the overall system architecture in one embodiment of the present invention.

[0016] In the diagram: 1. Load calculation unit; 2. Allocation judgment unit; 3. Workshop allocation unit; 4. Data acquisition unit; 5. Speed ​​adjustment unit. Detailed Implementation

[0017] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0018] Example 1, please refer to Figure 1 This invention provides a technical solution: an intelligent control method for cardboard box production in unmanned workshops, comprising: S1. Obtain the current production status parameters of the main control terminal and each production workstation in the current workshop; calculate the current total production load of each production workstation based on the current production status parameters. S2. Determine whether new production orders need to be allocated to the current workshop based on the current total production load and the current workshop's rated production load; S3. If it is determined that a new production order needs to be allocated to the current workshop based on the current total production load and the rated production load of the current workshop, then the new production order is allocated to the current workshop, and the process jumps to the step of obtaining the current production status parameters of the main control terminal and each production workstation in the current workshop, until it is determined that no new production order needs to be allocated to the current workshop based on the current total production load and the rated production load of the current workshop. S4. Obtain the current operating speed of each production workstation and each newly assigned order; obtain the current production energy consumption of each newly assigned order; S5. Calculate the new current total production load for each production workstation and each newly assigned order based on the current production energy consumption and current total production load of each newly assigned order; adjust the current operating speed based on the new current total production load and rated production load.

[0019] It should be noted that the real-time production status information of each production workstation in the workshop is collected from the main control terminal; these status parameters may include the operating status of the equipment, production progress, fault status, etc., in order to comprehensively understand the production situation in the workshop. Based on the collected status parameters of each production workstation, the system will calculate the current total production load of the entire workshop; this data reflects the current production capacity and workload of each workstation, providing a basis for subsequent decision-making. Based on the calculated current total production load and the workshop's rated production load, the system will determine whether it is necessary to allocate new production orders to the current workshop; if the current load has not reached the preset upper limit and there is still production capacity, it can decide to allocate new orders. If the system determines that new orders need to be allocated, it will assign these orders to the workshop and restart monitoring the production status of each workstation; this process will continue to cycle until the system determines that the current load has reached its maximum capacity and no new orders need to be allocated. After a new order is assigned, the system will obtain the current operating speed and energy consumption data of each production workstation and each newly assigned order; this information helps to assess production efficiency and resource consumption. Based on the acquired production energy consumption and current total load, the system calculates the new current total production load for each workstation and for new orders; this step helps to confirm the changes in overall production capacity under the influence of new orders. The operating speed of each workstation is adjusted based on the new current total production load and the rated load of the workshop; this means that if the load on some workstations is too high, the system may reduce their speed to prevent overload; conversely, if the load is low, the speed may be increased to optimize production efficiency.

[0020] In an optional embodiment, determining whether a new production order needs to be allocated to the current workshop based on the current total production load and the current workshop's rated production load includes: The first load difference is obtained by determining the difference between the rated production load and the current total production load; Determine whether the first load difference is greater than the preset load warning threshold; If the first load difference is greater than the preset load warning threshold, it is determined that a new production order needs to be allocated to the current workshop.

[0021] It should be noted that the difference between the current rated production load of the workshop and the actual current total production load is calculated; this difference is called the first load difference; by calculating this difference, the management system can understand the current workshop's production capacity margin. The first load difference is judged and compared to see if it is greater than a preset load warning threshold. This threshold is set according to the workshop's production capacity and safety standards, and is intended to ensure the stability and safety of the production process. If the first load difference is found to be greater than the preset load warning threshold, it means that the current workshop still has sufficient production capacity and resources to receive and process new production orders. In this case, the system will determine that new production orders need to be allocated to the current workshop in order to make full use of its production capacity and improve overall production efficiency.

[0022] In an optional embodiment, after determining that a new production order needs to be allocated to the current workshop based on the current total production load and the rated production load of the current workshop, the method further includes: Obtain the urgency coefficients of several pending production orders outside the current workshop; Determine the highest urgency coefficient among all urgency coefficients; Accordingly, new production orders are allocated to the current workshop, including: Assign the production orders corresponding to the highest urgency level to the current workshop.

[0023] It should be noted that multiple production orders awaiting allocation outside the workshop are collected, and each order is assigned an urgency coefficient. This coefficient reflects the priority or urgency of each order and is usually determined based on factors such as customer requirements, delivery time, and production importance. The urgency coefficients of all pending orders are compared to find the maximum value; this maximum urgency coefficient represents the most urgent order, that is, the order that needs to be prioritized for production among all pending orders. After identifying the order with the highest urgency, the system will assign the corresponding order to the current workshop for production; the purpose of this is to ensure that the most urgent production needs can be met in a timely manner, improve customer satisfaction, and optimize the efficiency of resource utilization.

[0024] In an optional embodiment, obtaining the current operating speed of each production workstation and each newly assigned order includes: The real-time values ​​of the X-axis and Y-axis coordinates of the carton in the global coordinate system are determined based on the current production status parameters of the production workstation. The basic operating speed of the carton forming machine and the carton sealing machine is calculated based on the real-time values ​​of the X-axis and Y-axis coordinates. The base operating speed is used as the current operating speed for each production workstation and each newly assigned order.

[0025] It should be noted that the real-time position of the carton in the global coordinate system is obtained based on the current production status parameters of each production workstation; this includes two key coordinate values: the X-axis coordinate value and the Y-axis coordinate value; through these coordinates, the system can accurately know the position of the carton on the production line; The obtained X-axis and Y-axis coordinate values ​​are used to calculate the basic operating speed of the carton forming machine and the carton sealing machine. This speed reflects the working efficiency and status of the equipment at the current coordinate position, thus providing basic data for subsequent production activities. The calculated base operating speed will be used as the current operating speed for each production workstation and newly assigned order; this means that each workstation and order will obtain an adaptive operating speed based on its status and location to ensure a smooth and efficient production process.

[0026] In an optional embodiment, the calculation of the new current total production load for each production workstation and each newly assigned order based on the current production energy consumption and current total production load of each newly assigned order includes: The initial load is obtained by adding the current total production load to the current production energy consumption of each newly assigned order; The load correction value is calculated based on the initial load and the preset energy consumption weighting coefficient; The sum of the initial load and the load correction value is used as the new current total production load for each production workstation and each newly assigned order.

[0027] It should be noted that the current total production load is added to the current production energy consumption of all newly assigned orders to obtain an initial load sum; this value reflects the overall load of the workshop when the energy consumption of new orders is taken into account. Based on the initial load, the system will calculate according to the preset energy consumption weighting coefficient; this weighting coefficient is used to adjust the load in order to more accurately reflect the actual impact of each workstation and new orders on the overall load; through this calculation, the system can obtain a load correction value; The initial load is added to the load correction value to form the new current total production load; this new total load will serve as reference data for each production workstation and newly assigned orders, so as to be used in subsequent production planning and scheduling.

[0028] In an optional embodiment, adjusting each current operating speed based on the new current total production load and rated production load includes: The second load difference is obtained by determining the difference between the rated production load and the new current total production load; Adjust each current operating speed based on the second load difference and the preset load warning threshold.

[0029] It should be noted that the difference between the rated production load and the new current total production load is called the second load difference. Through this difference, the system can understand the deviation of the current production status from the rated capacity and determine whether the production is within the normal range. Based on the second load difference and the preset load warning threshold, the system will adjust the current operating speed of each workstation. If the second load difference is greater than or less than a certain threshold, the system will increase or decrease the operating speed accordingly to ensure the balance and stability of the production process. For example, if the current load is too high, the operating speed may need to be reduced to prevent overload operation; conversely, if the load is low, the operating speed may be increased to improve production efficiency.

[0030] In an optional embodiment, adjusting each current operating speed based on a second load difference and a preset load warning threshold includes: Determine whether the second load difference is less than the preset load warning threshold; If the second load difference is less than the preset load warning threshold, the speed change for each production workstation and each newly assigned order is determined based on the second load difference and the correspondence between load and speed. The instructions corresponding to each speed change are transmitted to each production workstation and each newly assigned order.

[0031] It should be noted that checking whether the second load difference is less than the preset load warning threshold is to determine whether the current production status is within a safe and controllable range. If the second load difference is lower than the threshold, it indicates that the production load is relatively light and adjustments may be necessary. If the second load difference is indeed less than the preset load warning threshold, the system will then calculate the speed change required for each production workstation and newly assigned orders based on this load difference and the relationship between load and speed. This change reflects how to adjust the operating speed of each workstation to cope with the current load situation while maintaining production efficiency. The calculated speed change instructions are transmitted to each production workstation and the newly assigned order. Through these instructions, each workstation can adjust its operating speed in a timely manner, thereby optimizing the production process and ensuring that the entire production system can operate efficiently.

[0032] In an optional embodiment, after obtaining the current production status parameters of the main control terminal and each production workstation in the current workshop, the method further includes: Construct the primitive kinematic model of the cardboard box production line. The primitive kinematic model is used to describe the relationship between the production progress vector and the production speed vector. The original kinematic model is linearized to construct an error tracking model for the carton production line. The error tracking model is used to describe the linear relationship between the continuous production progress tracking error vector and the production speed error vector. Based on the preset sampling time, the error tracking model is discretized to obtain a discretized error tracking model; Accordingly, based on the discretized error tracking model and production status information, the carton forming speed error and carton sealing speed error are obtained to assist in calculating the current operating speed.

[0033] It should be noted that a basic kinematic model of a cardboard box production line is established. The main function of this model is to describe the relationship between the production progress vector (i.e., the degree of production progress) and the production speed vector (i.e., the production speed). Through this model, the dynamic behavior of the production process can be better understood. The original kinematic model is linearized; this process aims to simplify the model, making it easier to analyze and manipulate; the linearized model is called the error tracking model, which is used to describe the linear relationship between the production progress tracking error vector (i.e., the gap between the actual progress and the expected progress) and the production speed error vector (i.e., the gap between the actual speed and the target speed); Based on a preset sampling time, the error tracking model is discretized to obtain a discretized error tracking model. This step is to convert the continuous model into a discrete-time form, thereby adapting to the requirements of digital control systems. Discretization makes the model more operable in practical applications. By using a discretized error tracking model and current production status information, the errors in carton forming speed and carton sealing speed can be obtained. These speed errors are used to assist in calculating the current operating speed so as to adjust the working status of the production line in a timely manner and ensure production efficiency and quality.

[0034] In an optional embodiment, after adjusting each current operating speed based on the new current total production load and rated production load, the method further includes: The reference values ​​for carton forming speed and carton sealing speed are calculated based on the real-time value of the running speed and the reference value of the production cycle. Based on the discretized error tracking model and production status information, the carton forming speed error and carton sealing speed error are obtained; The expected value of the carton forming speed is calculated based on the carton forming speed error and the reference value of the carton forming speed. The expected value of the carton sealing speed is calculated based on the carton sealing speed error and the reference value of the carton sealing speed. Generate equipment control instructions, including the expected values ​​for carton forming speed and carton sealing speed, and send them to the corresponding production workstations.

[0035] It should be noted that the reference values ​​for carton forming speed and carton sealing speed are calculated based on real-time data of the current operating speed and reference values ​​of the production cycle time. These reference values ​​provide targets for actual production and help determine the speeds that should be achieved under ideal conditions. By using a discretized error tracking model and current production status information, the errors in carton forming speed and carton sealing speed are obtained; these errors reflect the deviation between the actual production speed and the reference speed and are important indicators for evaluating production efficiency. Based on the carton forming speed error and its reference value, the expected value of the carton forming speed is calculated; at the same time, based on the carton sealing speed error and its reference value, the expected value of the carton sealing speed is also calculated; the expected value represents the optimal operating speed that the system hopes to achieve after taking into account the current error. Equipment control instructions will be generated, including the expected values ​​for carton forming speed and carton sealing speed; these instructions will be sent to the corresponding production workstations to guide specific operations and achieve precise control of production speed.

[0036] Example 2, please refer to Figure 2 This invention provides a technical solution: an intelligent control system for cardboard box production in unmanned workshops, applicable to the aforementioned intelligent control method for cardboard box production in unmanned workshops, comprising: Load calculation unit 1 is used to obtain the current production status parameters of the main control terminal and each production workstation in the current workshop; and to calculate the current total production load of each production workstation based on the current production status parameters. The allocation judgment unit 2 is used to determine whether a new production order needs to be allocated to the current workshop based on the current total production load and the current workshop's rated production load; Workshop allocation unit 3 is used to allocate new production orders to the current workshop if it is determined that new production orders need to be allocated to the current workshop based on the current total production load and the rated production load of the current workshop, and then jump to the step of obtaining the current production status parameters of the main control terminal and each production workstation in the current workshop, until it is determined that no new production orders need to be allocated to the current workshop based on the current total production load and the rated production load of the current workshop. Data acquisition unit 4 is used to obtain the current operating speed of each production workstation and each newly assigned order; and to obtain the current production energy consumption of each newly assigned order. Speed ​​adjustment unit 5 is used to calculate the new current total production load corresponding to each production workstation and each newly assigned order based on the current production energy consumption and current total production load of each newly assigned order; and to adjust the current operating speed based on the new current total production load and rated production load.

[0037] The embodiments of the present invention have been described in detail above with reference to the accompanying drawings. However, the present invention is not limited thereto. Various changes can be made within the scope of knowledge possessed by those skilled in the art without departing from the spirit of the present invention.

Claims

1. A method for intelligent control of cardboard box production in unmanned workshops, characterized in that, include: Obtain the current production status parameters of the main control terminal and each production workstation in the current workshop; Calculate the current total production load of each production workstation based on the current production status parameters; Determine whether new production orders need to be allocated to the current workshop based on the current total production load and the rated production load of the current workshop; If it is determined that a new production order needs to be allocated to the current workshop based on the current total production load and the rated production load of the current workshop, then the new production order is allocated to the current workshop, and the process jumps to the step of obtaining the current production status parameters of the main control terminal and each production workstation in the current workshop, until it is determined that no new production order needs to be allocated to the current workshop based on the current total production load and the rated production load of the current workshop. Get the current operating speed of each production workstation and each newly assigned order; get the current production energy consumption of each newly assigned order; Calculate the new current total production load for each production workstation and each newly assigned order based on the current production energy consumption and current total production load of each newly assigned order; adjust the current operating speed based on the new current total production load and rated production load.

2. The intelligent control method for cardboard box production in unmanned workshops according to claim 1, characterized in that, Determine whether new production orders need to be allocated to the current workshop based on the current total production load and the rated production load of the current workshop, including: The first load difference is obtained by determining the difference between the rated production load and the current total production load; Determine whether the first load difference is greater than the preset load warning threshold; If the first load difference is greater than the preset load warning threshold, it is determined that a new production order needs to be allocated to the current workshop.

3. The intelligent control method for cardboard box production in unmanned workshops according to claim 2, characterized in that, If, based on the current total production load and the current workshop's rated production load, it is determined that a new production order needs to be allocated to the current workshop, the method further includes: Obtain the urgency coefficients of several pending production orders outside the current workshop; Determine the highest urgency coefficient among all urgency coefficients; Accordingly, new production orders are allocated to the current workshop, including: Assign the production orders corresponding to the highest urgency level to the current workshop.

4. The intelligent control method for cardboard box production in unmanned workshops according to claim 3, characterized in that, Obtain the current operating speed of each production workstation and each newly assigned order, including: The real-time values ​​of the X-axis and Y-axis coordinates of the carton in the global coordinate system are determined based on the current production status parameters of the production workstation. The basic operating speed of the carton forming machine and the carton sealing machine is calculated based on the real-time values ​​of the X-axis and Y-axis coordinates. The base operating speed is used as the current operating speed for each production workstation and each newly assigned order.

5. The intelligent control method for cardboard box production in unmanned workshops according to claim 4, characterized in that, Calculate the new current total production load for each production workstation and each newly assigned order based on the current production energy consumption and current total production load of each newly assigned order, including: The initial load is obtained by adding the current total production load to the current production energy consumption of each newly assigned order; The load correction value is calculated based on the initial load and the preset energy consumption weighting coefficient; The sum of the initial load and the load correction value is used as the new current total production load for each production workstation and each newly assigned order.

6. The intelligent control method for cardboard box production in unmanned workshops according to claim 5, characterized in that, Adjust the current operating speeds based on the new current total production load and rated production load, including: The second load difference is obtained by determining the difference between the rated production load and the new current total production load; Adjust each current operating speed based on the second load difference and the preset load warning threshold.

7. The intelligent control method for cardboard box production in unmanned workshops according to claim 6, characterized in that, Adjusting each current operating speed based on the second load difference and the preset load warning threshold, including: Determine whether the second load difference is less than the preset load warning threshold; If the second load difference is less than the preset load warning threshold, the speed change for each production workstation and each newly assigned order is determined based on the second load difference and the correspondence between load and speed. The instructions corresponding to each speed change are transmitted to each production workstation and each newly assigned order.

8. The intelligent control method for cardboard box production in unmanned workshops according to claim 7, characterized in that, After obtaining the current production status parameters of the main control terminal and each production workstation in the current workshop, the method further includes: Construct the primitive kinematic model of the cardboard box production line. The primitive kinematic model is used to describe the relationship between the production progress vector and the production speed vector. The original kinematic model is linearized to construct an error tracking model for the carton production line. The error tracking model is used to describe the linear relationship between the continuous production progress tracking error vector and the production speed error vector. Based on the preset sampling time, the error tracking model is discretized to obtain a discretized error tracking model; Accordingly, based on the discretized error tracking model and production status information, the carton forming speed error and carton sealing speed error are obtained to assist in calculating the current operating speed.

9. The intelligent control method for cardboard box production in unmanned workshops according to claim 8, characterized in that, After adjusting each current operating speed based on the new current total production load and rated production load, the method further includes: The reference values ​​for carton forming speed and carton sealing speed are calculated based on the real-time value of the running speed and the reference value of the production cycle. Based on the discretized error tracking model and production status information, the carton forming speed error and carton sealing speed error are obtained; The expected value of the carton forming speed is calculated based on the carton forming speed error and the reference value of the carton forming speed. The expected value of the carton sealing speed is calculated based on the carton sealing speed error and the reference value of the carton sealing speed. Generate equipment control instructions, including the expected values ​​for carton forming speed and carton sealing speed, and send them to the corresponding production workstations.

10. An intelligent control system for cardboard box production in unmanned workshops, applicable to the intelligent control method for cardboard box production in unmanned workshops as described in any one of claims 1-9, characterized in that, include: The load calculation unit is used to obtain the current production status parameters of the main control terminal and each production workstation in the current workshop; Calculate the current total production load of each production workstation based on the current production status parameters; The allocation judgment unit is used to determine whether a new production order needs to be allocated to the current workshop based on the current total production load and the rated production load of the current workshop; The workshop allocation unit is used to allocate new production orders to the current workshop if it is determined that new production orders need to be allocated to the current workshop based on the current total production load and the rated production load of the current workshop, and then jump to the step of obtaining the current production status parameters of the main control terminal and each production workstation in the current workshop, until it is determined that no new production orders need to be allocated to the current workshop based on the current total production load and the rated production load of the current workshop. The data acquisition unit is used to obtain the current operating speed of each production workstation and each newly assigned order; and to obtain the current production energy consumption of each newly assigned order. The speed adjustment unit is used to calculate the new current total production load corresponding to each production workstation and each newly assigned order based on the current production energy consumption and current total production load of each newly assigned order; and to adjust the current operating speed based on the new current total production load and rated production load.

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