A production control system and method based on internet of things devices

Abstract

The application provides a production control system and method based on Internet of Things equipment, and belongs to the technical field of Internet of Things equipment, and specifically comprises the following steps: determining the production load in the production scheduling plan period of the production order based on the interval duration, determining the adjustment data of the production load in different production scheduling plan periods, when it is determined that the optimization monitoring processing of the Internet of Things equipment needs to be performed, determining the monitoring data variation type of the Internet of Things equipment of the production equipment according to the monitoring data range of the monitoring data of the Internet of Things equipment under different production loads, and determining the production scheduling plan period for which the optimization dynamic adjustment of the production load is performed according to the monitoring data variation type of the Internet of Things equipment of the production equipment, the interval duration between the delivery date corresponding to the production scheduling plan period and the delivery date of other production orders, and the interval duration. The reliability of the monitoring analysis processing of the Internet of Things equipment is improved.

Description

Technical Field

[0001] This invention belongs to the field of Internet of Things (IoT) device technology, and particularly relates to a production control system and method based on IoT devices. Background Technology

[0002] To reduce inventory costs, existing technical solutions often schedule production based on specific customer demands. For example, CN201911274226.X, "Information System for Sales, Production, and Supply Based on B2B Business," generates independent customer demands based on order information and raw material inventory. This independent demand, along with anticipated demands confirmed by the account manager, ensures reliable production management. However, the above technical solutions have the following technical problems: In existing technical solutions, the intervals between the delivery dates of different production orders are too short during production scheduling. Therefore, in order to ensure the interaction period, how to adjust the production load to ensure the reliability of delivery and avoid delays in the delivery of multiple production orders due to quality issues has become an urgent technical problem to be solved.

[0003] To address the aforementioned technical problems, this application provides a production control system and method based on Internet of Things (IoT) devices. Summary of the Invention

[0004] To achieve the objectives of this invention, the following technical solution is adopted: Specifically, this application provides a production control method based on Internet of Things (IoT) devices, which includes: S1 uses production order data as a basis to determine the interval between the delivery date of the production order and the delivery dates of other production orders. Based on the interval, it determines the production load in the production scheduling period of the production order. Based on the adjustment data of the production load in different scheduling periods, it determines that optimization monitoring processing of IoT devices is required, and then proceeds to the next step. S2 determines the monitoring data change type of the IoT devices in the production equipment based on the monitoring data range of the IoT devices under different production loads. Based on the monitoring data change type of the IoT devices in the production equipment and the interval between the delivery date corresponding to the production schedule period and the delivery date of other production orders, S2 determines the production schedule period for dynamic adjustment of production load optimization.

[0005] The beneficial effects of this invention are as follows: Based on production load adjustment data during different production scheduling periods, it is determined whether IoT device optimization monitoring is required. This enables the assessment of whether IoT device optimization monitoring is needed based on the number of production load adjustments and the corresponding production load at the time of adjustment. This avoids the technical problem of uncertain monitoring reliability of IoT devices during production load adjustment periods due to the lack of advance production load adjustments in certain scheduling periods.

[0006] Based on the types of changes in monitoring data from IoT devices on production equipment and the interval between the delivery date of the production scheduling period and the delivery dates of other production orders, the production scheduling period for dynamic optimization and adjustment of production load is determined. This takes into account the need for dynamic optimization and adjustment of production load due to differences in the types of changes in monitoring data, ensuring that the reliability of monitoring data under different production loads can be effectively verified. At the same time, it avoids the potential risk of abnormal production quality caused by adjusting the production load during the production scheduling period when the interval between the production scheduling period and the delivery dates of other production orders is short, thereby further improving the reliability of monitoring and processing in the production process.

[0007] Furthermore, the interval between the delivery date and the delivery dates of other production orders is determined based on the number of days between the delivery date and the delivery dates of other production orders.

[0008] Furthermore, the production scheduling period is determined based on the delivery date of the production order, specifically the production scheduling period is manually determined based on the production date of the production order.

[0009] Furthermore, the method for determining the production load within the production scheduling period of the production order is as follows: Production orders whose interval with the delivery date of the production order is within a preset range are determined based on the interval duration, and these are considered as adjacent production orders; Based on the duration of the production scheduling period and the order volume of the production orders, the basic production load of the production scheduling period is determined; Based on the basic production load and the adjacent production order data, the production load in the production scheduling period of the production order is determined.

[0010] Furthermore, the method for determining the production scheduling period for optimizing and dynamically adjusting the production load is as follows: The number of production equipment with data changes is determined based on the type of data change monitored by the IoT devices of the production equipment. Based on the production orders corresponding to the production scheduling period, determine the adjacent production orders of the production orders; Based on the adjacent production orders of the production order and the number of production equipment that have changed according to data, it is determined whether the production scheduling period is a production scheduling period for dynamic adjustment of production load optimization.

[0011] Furthermore, when the number of production equipment that changes data is not greater than the second preset threshold for the number of production equipment that changes, and when there are no adjacent production orders for the generated orders corresponding to the production scheduling period, the production load is dynamically adjusted for optimization. If a production quality problem occurs, it will not have a significant impact on other production orders. Therefore, the production scheduling period is determined to be the production scheduling period for dynamic adjustment of the production load.

[0012] Secondly, the present invention provides a production control system based on Internet of Things (IoT) devices, employing the aforementioned production control method based on IoT devices, specifically including: The production load adjustment module is responsible for determining the production load during the production scheduling period of the production order based on the interval duration. The change type determination module is responsible for determining the change type of monitoring data from the IoT devices of the production equipment. The production scheduling adjustment module is responsible for determining the time period for dynamically adjusting the production schedule to optimize the production load.

[0013] Other features and advantages will be set forth in the description which follows, and will be apparent in part from the description, or may be learned by practicing the invention. The objects and other advantages of the invention are realized and obtained through the structures particularly pointed out in the description and the drawings.

[0014] To make the above-mentioned objects, features and advantages of the present invention more apparent and understandable, preferred embodiments are described below in detail with reference to the accompanying drawings. Attached Figure Description

[0015] The above and other features and advantages of the present invention will become more apparent from a detailed description of exemplary embodiments thereof with reference to the accompanying drawings.

[0016] Figure 1 This is a flowchart of a production control method based on Internet of Things (IoT) devices; Figure 2 This is a flowchart illustrating a method for determining whether a battery can be used for combined power supply. Figure 3 This is a flowchart illustrating the method for determining the collaborative power supply strategy for batteries. Detailed Implementation

[0017] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the embodiments set forth herein; rather, they are provided so that the invention will be thorough and complete, and the concept of the exemplary embodiments will be fully conveyed to those skilled in the art. The same reference numerals in the drawings denote the same or similar structures, and therefore their detailed description will be omitted.

[0018] The terms “a,” “one,” “the,” and “the” are used to indicate the existence of one or more elements / components / etc.; the terms “including” and “having” are used to indicate an open-ended meaning of inclusion and that other elements / components / etc. may exist in addition to the listed elements / components / etc.

[0019] Example 1 To solve the above problems, according to one aspect of the present invention, such as Figure 1 As shown, a production control method based on Internet of Things (IoT) devices is provided, specifically including: S1 uses production order data as a basis to determine the interval between the delivery date of the production order and the delivery dates of other production orders. Based on the interval, it determines the production load in the production scheduling period of the production order. Based on the adjustment data of the production load in different scheduling periods, it determines that optimization monitoring processing of IoT devices is required, and then proceeds to the next step. Furthermore, the interval between the delivery date and the delivery dates of other production orders is determined based on the number of days between the delivery date and the delivery dates of other production orders.

[0020] Furthermore, the production scheduling period is determined based on the delivery date of the production order, specifically the production scheduling period is manually determined based on the production date of the production order.

[0021] Specifically, such as Figure 2 As shown, the method for determining the production load within the production scheduling period of the production order is as follows: Production orders whose interval with the delivery date of the production order is within a preset range are determined based on the interval duration, and these are considered as adjacent production orders; Based on the duration of the production scheduling period and the order volume of the production orders, the basic production load of the production scheduling period is determined; Based on the basic production load and the adjacent production order data, the production load in the production scheduling period of the production order is determined.

[0022] Specifically, the order quantity refers to the number of products required by the production order.

[0023] It is understood that the basic production load is the order volume divided by the duration.

[0024] It should be noted that the adjacent production orders are production orders whose interaction date is later than the interaction date of the production order, and whose interval between the interaction date and the interaction date of the production order is within a preset range. For example, production orders whose interval between the interaction date and the interaction date of the production order is less than 2 weeks can be considered as adjacent production orders.

[0025] It should be noted that when there are no adjacent production orders for the production order, the basic production load will be used as the production load in the production scheduling period of the production order.

[0026] Additionally, it should be noted that when there are adjacent production orders, the basic production load is multiplied by a preset scaling factor as a compensation amount for the production load during the production scheduling period of the production order. The production load during the production scheduling period of the production order is determined based on the compensation amount and the sum of the basic production load, thereby avoiding the impact of production quality issues on the interaction dates of adjacent production orders.

[0027] In one possible specific embodiment, the preset scaling factor is determined based on the number of adjacent production orders, wherein the larger the number of adjacent production orders, the larger the preset scaling factor. In one possible embodiment, the preset scaling factor is determined by multiplying 0.05 by the number of adjacent production orders.

[0028] Optionally, the method for determining the production load during the production scheduling period of the production order is as follows: Production orders whose interval with the delivery date of the production order is within a preset range are determined based on the interval duration, and these are considered as adjacent production orders; Based on the duration of the production scheduling period and the order volume of the production orders, the basic production load of the production scheduling period is determined; The influence factor of the adjacent production order is determined by the ratio of the interval between the delivery date of the adjacent production order and the delivery date of the production order to a preset duration. Based on the influence factor and the basic production load, the production load in the production scheduling period of the production order is determined.

[0029] Specifically, the production load in the production scheduling period of the production order is determined based on the sum of the products of the basic production load and the influence factors of adjacent production orders.

[0030] Specifically, such as Figure 3 As shown, it has been determined that optimized monitoring and processing of IoT devices is required, specifically including: Based on the production load adjustment data in different production scheduling periods, determine the production scheduling period for production load adjustment and use it as the adjustment period. Based on the basic production load in the adjusted production scheduling period, determine the adjusted production scheduling period data under different basic production loads; By adjusting production scheduling data under different base production loads, it can be determined whether optimization monitoring and processing of IoT devices is needed.

[0031] It should be noted that when the distribution data of the adjusted production scheduling period does not meet the requirements, since there are a large number of adjusted production scheduling periods, in order to ensure the reliability of IoT monitoring and processing during the adjustment of production scheduling periods, it is necessary to optimize the monitoring and processing of IoT devices.

[0032] In one possible specific embodiment, when the number of adjusted production scheduling periods is not less than 10, optimization monitoring processing of IoT devices is required.

[0033] Furthermore, when the distribution data of the adjusted production scheduling period meets the requirements, the adjusted production scheduling period data under different basic production loads is obtained. When the number of basic production loads for the adjusted production scheduling period does not meet the requirements, for example, when the number of basic production loads for the adjusted production scheduling period is not less than 5, then due to the difference in basic production loads, there are multiple adjusted production scheduling periods that require production load adjustment processing under different basic production loads. Therefore, in order to ensure the reliability of IoT monitoring processing during the adjusted production scheduling period, it is necessary to perform optimized monitoring processing of IoT devices.

[0034] Additionally, it is understandable that when the number of basic production loads for adjusting production scheduling periods meets the requirements, the data for adjusting production scheduling periods under different basic production loads is further determined. Specifically, the number of basic production loads that do not have multiple adjusting production scheduling periods is obtained, i.e., the number of basic production loads that do not meet the requirements for only one adjusting production scheduling period, i.e., not less than three. In order to ensure the reliability of IoT monitoring and processing during adjusting production scheduling periods, it is necessary to optimize the monitoring and processing of IoT devices.

[0035] Furthermore, when there is only one production load with a minimum production load that meets the requirements, it is determined that no optimization monitoring of IoT devices is required when there is no minimum production load with a minimum production load that meets the preset production load minimum number threshold, for example, when there are more than three minimum production loads with minimum production loads.

[0036] Furthermore, when the number of production scheduling periods exceeds the preset threshold for the number of production scheduling periods, in order to ensure the reliability of IoT monitoring and processing during production scheduling period adjustments, it is necessary to optimize the monitoring and processing of IoT devices.

[0037] Optionally, determine if optimized monitoring and processing of IoT devices is required, specifically including: Based on the production load adjustment data in different production scheduling periods, determine the production scheduling period for production load adjustment and use it as the adjustment period. Based on the basic production load in the adjusted production scheduling period, the adjusted production scheduling period data under different basic production loads is determined, and the basic production load of only one adjusted production scheduling period is determined based on the adjusted production scheduling period data under different basic production loads. Based on a basic production load with only one production scheduling adjustment period, determine whether optimization monitoring and processing of IoT devices is required.

[0038] Furthermore, when the distribution data of the adjusted production scheduling period does not meet the requirements, since there are a large number of adjusted production scheduling periods, in order to ensure the reliability of IoT monitoring and processing during the adjustment of production scheduling periods, it is necessary to optimize the monitoring and processing of IoT devices.

[0039] Additionally, it is understood that when the distribution data of the adjusted production scheduling period meets the requirements, then when there is no basic production load with only one adjusted production scheduling period, there is no need to perform optimization monitoring processing of IoT devices.

[0040] Furthermore, when there is only one basic production load with a single production scheduling period, and when the number of basic production loads with only one production scheduling period exceeds a preset load threshold, then in order to ensure the reliability of IoT monitoring and processing during production scheduling periods, it is necessary to optimize the monitoring and processing of IoT devices.

[0041] S2 determines the monitoring data change type of the IoT devices in the production equipment based on the monitoring data range of the IoT devices under different production loads. Based on the monitoring data change type of the IoT devices in the production equipment and the interval between the delivery date corresponding to the production schedule period and the delivery date of other production orders, S2 determines the production schedule period for dynamic adjustment of production load optimization.

[0042] Furthermore, the method for determining the type of change in monitoring data from the IoT devices of the production equipment is as follows: Based on the monitoring data range of IoT devices under different production load ranges, the variation of the monitoring data range of IoT devices used for monitoring processing of the production equipment under different production load ranges is determined. Production load ranges with inconsistent monitoring data ranges are considered variable load ranges. Based on the composition data of the variable load range of the IoT devices of the production equipment, the monitoring data change type of the IoT devices of the production equipment is determined.

[0043] It should be noted that the production load range is divided into equal intervals based on a preset interval, for example, a preset interval of 10%.

[0044] It is understood that the variable load range is a production load range whose monitoring data range is inconsistent with other production load ranges. In one possible embodiment, the monitoring data range is determined based on the historical monitoring data of IoT devices within the production load range.

[0045] Specifically, when all IoT devices of the production equipment have variable load ranges, the monitoring data change type of the IoT devices of the production equipment is determined to be "data change production equipment". Additionally, it can be understood that when the IoT devices of the production equipment do not have varying load ranges, if the number of varying load ranges of multiple IoT devices is greater than the preset load range number threshold, then the monitoring data change type of the IoT devices of the production equipment is determined to be "data change production equipment". Furthermore, if the number of variable load intervals of multiple IoT devices is greater than the preset load interval number threshold, for example, if no less than 2 IoT devices belong to the load interval of variable load intervals and the number of load intervals is no less than 3, then the monitoring data change type of the IoT devices of the production equipment is determined to be data stable production equipment. Specifically, the method for determining the production scheduling period for optimizing and dynamically adjusting production load is as follows: Based on the monitoring data change types of the IoT devices of the production equipment, determine the number of production equipment with different monitoring data change types; Based on the production orders corresponding to the production scheduling period, determine the adjacent production orders of the production orders; Based on the adjacent production orders and basic production load data of the production order, and combined with the number of production equipment with different monitoring data change types, it is determined whether the production scheduling period is a production scheduling period for dynamic adjustment of production load optimization.

[0046] It should be noted that when there are no adjacent production orders corresponding to the production scheduling period, the production load is dynamically adjusted for optimization. If a production quality problem occurs, it will not have a significant impact on other production orders. Therefore, the production scheduling period is determined to be the production scheduling period for dynamic adjustment of production load optimization.

[0047] Furthermore, when there are adjacent production orders corresponding to the production scheduling period, that is, when the number of adjacent production orders does not meet the requirements during the production scheduling period of production orders with adjacent production orders, for example when the number of adjacent production orders is not less than 3, then it is determined that the production scheduling period does not belong to the production scheduling period for optimizing and dynamically adjusting the production load.

[0048] It is understandable that when the quantity of the adjacent production orders meets the requirements, the basic production load of the production scheduling period is determined. When there are multiple adjustment scheduling periods under the basic production load, that is, when there are no less than two adjustment scheduling periods that need to be adjusted under the basic production load, the production scheduling period is determined not to be a production scheduling period for dynamic adjustment of production load optimization.

[0049] Furthermore, when there are no multiple production scheduling periods under the basic production load, the number of production equipment with different monitoring data change types is determined. When the number of production equipment with data changes is greater than the preset threshold for the number of production equipment with changes, the production scheduling period is determined to be a production scheduling period for optimizing and dynamically adjusting the production load.

[0050] Additionally, it can be understood that when the number of production equipment that changes the data is not greater than a preset threshold for the number of production equipment that changes, for example, not greater than 4, then it is determined that the production scheduling period does not belong to the production scheduling period for optimizing and dynamically adjusting the production load.

[0051] Example 2 Secondly, the present invention provides a production control system based on Internet of Things (IoT) devices, employing the aforementioned production control method based on IoT devices, specifically including: The production load adjustment module is responsible for determining the production load during the production scheduling period of the production order based on the interval duration. The change type determination module is responsible for determining the change type of monitoring data from the IoT devices of the production equipment. The production scheduling adjustment module is responsible for determining the time period for dynamically adjusting the production schedule to optimize the production load.

[0052] Furthermore, the method for determining the production scheduling period for optimizing and dynamically adjusting the production load is as follows: The number of production equipment with data changes is determined based on the type of data change monitored by the IoT devices of the production equipment. Based on the production orders corresponding to the production scheduling period, determine the adjacent production orders of the production orders; Based on the adjacent production orders of the production order and the number of production equipment that have changed according to data, it is determined whether the production scheduling period is a production scheduling period for dynamic adjustment of production load optimization.

[0053] It should be noted that when the number of production equipment with data changes is greater than the second preset threshold for the number of production equipment with changes, for example, greater than 8, then all production scheduling periods are determined to be production scheduling periods for dynamic adjustment of production load optimization.

[0054] Furthermore, when the number of production equipment that changes data is not greater than the second preset threshold for the number of production equipment that changes, and when there are no adjacent production orders for the generated orders corresponding to the production scheduling period, the production load is dynamically adjusted for optimization. If a production quality problem occurs, it will not have a significant impact on other production orders. Therefore, the production scheduling period is determined to be the production scheduling period for dynamic adjustment of the production load.

[0055] Additionally, it can be understood that when there are adjacent production orders corresponding to the production scheduling period, and when the number of production equipment with data changes is greater than the preset threshold for the number of production equipment with changes, then the production scheduling period is determined to be a production scheduling period for optimizing and dynamically adjusting the production load.

[0056] Additionally, it can be understood that when the number of production equipment that changes the data is not greater than a preset threshold for the number of production equipment that changes, for example, not greater than 4, then it is determined that the production scheduling period does not belong to the production scheduling period for optimizing and dynamically adjusting the production load.

[0057] It should be noted that when the production scheduling period is a period for optimizing and dynamically adjusting the production load, the production load will be dynamically adjusted during the production scheduling period. That is, the system will run for a preset duration under different production load ranges, for example, at least 1 hour under different production loads, in order to determine whether the monitoring data of the IoT monitoring device of the production equipment is reliable.

[0058] The various embodiments in this specification are described in a progressive manner. Similar or identical parts between embodiments can be referred to mutually. Each embodiment focuses on describing the differences from other embodiments. In particular, the embodiments of apparatus, devices, and non-volatile computer storage media are basically similar to the method embodiments, so the descriptions are relatively simple; relevant parts can be referred to the descriptions of the method embodiments.

[0059] The foregoing has described specific embodiments of this specification. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recited in the claims may be performed in a different order than that shown in the embodiments and may still achieve the desired result. Furthermore, the processes depicted in the drawings do not necessarily require the specific or sequential order shown to achieve the desired result. In some embodiments, multitasking and parallel processing are possible or may be advantageous.

[0060] The above description is merely one or more embodiments of this specification and is not intended to limit this specification. Various modifications and variations can be made to the one or more embodiments of this specification by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principle of one or more embodiments of this specification should be included within the scope of the claims of this specification.

Claims

1. A production control method based on Internet of Things (IoT) devices, characterized in that, Specifically, it includes: Based on production order data, determine the interval between the delivery date of the production order and the delivery dates of other production orders. Based on the interval, determine the production load in the production scheduling period of the production order. Based on the adjustment data of the production load in different scheduling periods, determine when it is necessary to perform optimization monitoring processing of IoT devices, and then proceed to the next step. Based on the monitoring data range of IoT devices under different production loads, determine the monitoring data change type of the IoT devices in the production equipment. Based on the monitoring data change type of the IoT devices in the production equipment and the interval between the delivery date corresponding to the production schedule period and the delivery date of other production orders, determine the production schedule period for dynamic adjustment of production load optimization. The method for determining the production scheduling period for optimizing and dynamically adjusting production load is as follows: Based on the monitoring data change types of the IoT devices of the production equipment, determine the number of production equipment with different monitoring data change types; Based on the production orders corresponding to the production scheduling period, determine the adjacent production orders of the production orders; Based on the adjacent production orders and basic production load data of the production order, and combined with the number of production equipment with different monitoring data change types, it is determined whether the production scheduling period is a production scheduling period for dynamic adjustment of production load optimization. When there are no adjacent production orders corresponding to the production scheduling period, the production scheduling period is determined to be a production scheduling period for dynamic adjustment of production load optimization. When there are adjacent production orders corresponding to the production scheduling period, and the number of adjacent production orders is not less than 3, the production scheduling period is determined not to be a production scheduling period for dynamic adjustment of production load optimization. When the production scheduling period falls within the period for dynamic adjustment of production load optimization, dynamic adjustment of production load is performed during the production scheduling period. The system runs for a preset duration under different production load ranges to determine whether the monitoring data of the IoT devices of the production equipment is reliable.

2. The production control method based on IoT devices as described in claim 1, characterized in that, The interval between the delivery date and the delivery dates of other production orders is determined based on the number of days between the delivery date and the delivery dates of other production orders.

3. The production control method based on IoT devices as described in claim 1, characterized in that, The production scheduling period is determined based on the delivery date of the production order.

4. The production control method based on IoT devices as described in claim 1, characterized in that, The method for determining the production load within the production scheduling period of the production order is as follows: Production orders whose interval with the delivery date of the production order is within a preset range are determined based on the interval duration, and these are considered as adjacent production orders; Based on the duration of the production scheduling period and the order volume of the production orders, the basic production load of the production scheduling period is determined; Based on the basic production load and the adjacent production order data, the production load in the production scheduling period of the production order is determined.

5. The production control method based on IoT devices as described in claim 4, characterized in that, The order quantity refers to the number of products required by the production order.

6. The production control method based on IoT devices as described in claim 5, characterized in that, The basic production load is the order volume divided by the duration.

7. The production control method based on IoT devices as described in claim 3, characterized in that, When there are no adjacent production orders for the production order, the basic production load is used as the production load in the production scheduling period of the production order.

8. The production control method based on IoT devices as described in claim 1, characterized in that, The need for optimized monitoring and processing of IoT devices has been identified, specifically including: Based on the production load adjustment data in different production scheduling periods, determine the production scheduling period for production load adjustment and use it as the adjustment period. Based on the basic production load in the adjusted production scheduling period, determine the adjusted production scheduling period data under different basic production loads; By adjusting production scheduling data under different base production loads, it can be determined whether optimization monitoring and processing of IoT devices is needed.

9. A production control system based on Internet of Things (IoT) devices, characterized in that, The production control method based on IoT devices according to any one of claims 1-8 specifically includes: The production load adjustment module is responsible for determining the production load during the production scheduling period of the production order based on the interval duration. The change type determination module is responsible for determining the change type of monitoring data from the IoT devices of the production equipment. The production scheduling adjustment module is responsible for determining the time period for dynamically adjusting the production schedule to optimize the production load.

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