Self-adaptive intelligent production management system based on Internet of Things platform

Abstract

The invention relates to the technical field of production management, in particular to a self-adaptive intelligent production management system based on an internet of things platform, which comprises a supply management module, a purchase management module, a plan management module, a production monitoring module and a central control module. According to the invention, the corresponding initial production task is determined through the target order details; inventory checking is carried out to determine the current inventory state, and corresponding purchase management is carried out based on the current inventory state; analyzing each initial production task to obtain a plurality of task analysis results, generating a corresponding initial production plan according to each task analysis result, sorting each initial production plan to obtain an initial execution sequence, and performing planned production according to the initial execution sequence; monitoring an actual production process corresponding to each initial production plan in real time, and evaluating each initial production plan to obtain an actual progress state; and correspondingly adjusting the initial management parameters according to the actual progress state to obtain actual management parameters.

Description

Technical Field

[0001] The present invention relates to the technical field of production management, and in particular to an adaptive intelligent production management system based on an Internet of Things platform. Background Art

[0002] With the rapid development of shipbuilding enterprises, when the production of shipyards is managed according to the traditional mode, production plans, data statistics, order progress, work reporting statistics, etc. are usually recorded by handwriting or electronic spreadsheets, which are prone to inaccurate data, untimely feedback, text loss and other problems. It not only takes a lot of manpower and material resources to manage the production process, but also consumes manpower and material resources, and the management efficiency is relatively low. It can no longer fundamentally meet the needs of the modernization of the shipbuilding industry and the international integration to enhance the competitiveness of enterprises. It brings many omissions and property losses to the operation and equipment management of the shipyard. Therefore, intelligent management of the production process of the shipyard is an inevitable choice; the use of digital management systems can realize scientific scheduling, procurement analysis, piece-rate wage accounting, and process optimization, making management easier and more efficient, realizing cost reduction and efficiency improvement for shipbuilding enterprises, and saving production time.

[0003] Chinese patent application publication number CN112859787A discloses a smart shipyard intelligent production workshop, including: production line and production process design system, intelligent equipment maintenance, intelligent manufacturing workshop network; the intelligent production workshop collects data and issues instructions by the intelligent communication and monitoring system of the whole plant, and monitors and manages the whole plant; the actual operation is performed by the whole plant robot network collaboration system management platform; the whole plant intelligent communication and monitoring system and the whole plant robot network collaboration system management platform are connected by the intelligent manufacturing workshop network, and information is transmitted; the production line and production process design system includes: strip production line operation process system, production line layout system and intelligent comprehensive digital printing machine system; the intelligent steel plate The marking process system includes eight stations: steel section loading, steel plate loading, preheating station, shot blasting station, painting station, drying station, comprehensive marking station, and unloading station; the production line layout and intelligent transportation system include: feeding area, positioning area, assembly area, robot welding area, repair and grinding area, back burning area, and discharge area; the strip production line system operation process mainly includes NCM line drawing, marking, laser cutting machine cutting the S head of the strip end, N5-6 multi-head flame cutting machine opening, RB-5 processing of the free edge of the strip and material matching; the equipment maintenance system includes equipment inspection alarm, scanning equipment, patrol terminal and server; the intelligent manufacturing workshop network includes: industrial switches and their corresponding switches and sensors.

[0004] This shows that the current shipyard’s intelligent production management system cannot achieve high management efficiency. Summary of the invention

[0005] To this end, the purpose of the present invention is to provide an adaptive intelligent production management system based on the Internet of Things platform, which is used to overcome the problem that the current intelligent production management system of a shipyard cannot achieve efficient management efficiency.

[0006] To achieve the above objectives, the present invention provides an adaptive intelligent production management system based on the Internet of Things platform, comprising:

[0007] A supply management module, which is used to obtain each original order information to obtain a number of target order details, and determine the corresponding initial production tasks according to the target order details;

[0008] A purchasing management module, which is used to perform an inventory count according to a preset initial inventory query cycle to determine an inventory count result, determine a current inventory status according to the inventory count result, and perform corresponding purchasing management based on the current inventory status;

[0009] A planning management module, which is used to analyze each initial production task to obtain a number of task analysis results, generate a number of corresponding initial production plans according to each task analysis result combined with the current inventory status, and sort each initial production plan based on each task analysis result to obtain an initial execution sequence, and plan production according to the initial execution sequence;

[0010] A production monitoring module is used to monitor the actual production process corresponding to each initial production plan in real time according to a preset initial monitoring period, and evaluate each initial production plan according to the monitoring results to obtain the actual progress status;

[0011] A central control module, which is used to determine a single diagnosis result of the initial production plan according to the actual progress status, and determine a planned production level according to each single diagnosis result, and adjust the initial management parameters accordingly based on the planned production level to obtain actual management parameters;

[0012] Wherein, the initial management parameters include: the initial inventory query period and the initial monitoring period.

[0013] Furthermore, the supply management module includes: an order account unit and a task creation unit;

[0014] The order account unit is used to obtain the project delivery period, the number of required component types and the required quantity of each type of component of each original order information;

[0015] The target order details include: the project delivery deadline, the number of required component types and the required quantity of each type of component;

[0016] The task creation unit is used to determine the production start time according to the target order details and create the corresponding initial production task.

[0017] Further, the task creation unit includes: a first calculation subunit, a second calculation subunit and a marking subunit;

[0018] The first calculation subunit is used to calculate the production time required according to the number of required component types and the required quantity of each type of components, and determine the production start time according to the production time required and the project delivery deadline;

[0019] The second calculation subunit is used to calculate the production complexity according to the number of required component types and the required quantity of each type of components;

[0020] The marking subunit is used to mark the difficulty of the initial production task according to the production complexity combined with a preset standard complexity.

[0021] Further, the procurement management module includes: an inventory comparison unit, an application generation unit and a procurement adjustment unit;

[0022] The inventory comparison unit is used to perform inventory counting according to the initial inventory query cycle to obtain an actual inventory level, and determine the current inventory status according to the actual inventory level;

[0023] The application generation unit is used to generate a corresponding actual application according to the current inventory status;

[0024] The purchasing adjustment unit is used to make corresponding purchasing adjustments according to the actual application;

[0025] The actual inventory level includes actual inventory quantity and actual inventory type.

[0026] Further, the inventory comparison unit includes: a first comparison subunit, a second comparison subunit and a determination subunit;

[0027] The first comparison subunit is used to determine whether the actual inventory level meets a first determination condition according to the actual inventory type in combination with a preset standard inventory type;

[0028] The second comparison subunit is used to determine whether the actual inventory level meets a second judgment condition according to the absolute value of the first difference combined with a preset first evaluation value;

[0029] The determining subunit is used to determine the current inventory status according to the first judgment condition and the second judgment condition;

[0030] The first absolute value of the difference is the absolute value of the difference between the actual inventory quantity and the preset standard inventory quantity.

[0031] Further, based on the fact that the actual inventory type is greater than or equal to the standard inventory type, the first comparison subunit determines that the actual inventory level meets the first judgment condition;

[0032] Based on the fact that the absolute value of the first difference is less than or equal to the first evaluation value, the second comparing subunit determines that the actual inventory level satisfies the second judgment condition.

[0033] Further, based on the actual inventory level satisfying the first judgment condition and satisfying the second judgment condition, the determining subunit determines that the current inventory status is a normal inventory status;

[0034] Based on the absolute value of the first difference being greater than the first evaluation value and the actual inventory quantity being greater than the standard inventory quantity, the determining subunit determines that the current inventory state is an excess inventory state;

[0035] Based on the fact that the absolute value of the first difference is greater than the first evaluation value and the actual inventory quantity is less than the standard inventory quantity, the determining subunit determines that the current inventory status is a shortage inventory status.

[0036] Further, the plan management module includes: a task analysis unit;

[0037] The task analysis unit is used to analyze each initial production task to determine the actual resource requirements, a number of task common stages and a number of task critical stages of each initial production task;

[0038] The task analysis result includes: the actual resource demand, the normal stage of the task and the critical stage of the task.

[0039] Furthermore, the plan management module also includes: a plan preparation unit, a plan scheduling unit and a plan execution unit;

[0040] The planning unit is used to calculate the priority score of the initial production task according to the actual resource demand, the ordinary stage of the task and the critical stage of the task combined with the difficulty marking result and the current inventory status to obtain the initial production plan;

[0041] The planning and scheduling unit is used to sort the initial production plans according to the numerical values ​​of the priority scores to obtain the initial execution sequence;

[0042] The plan execution unit is used to carry out planned production according to the initial execution sequence.

[0043] Further, the production monitoring module includes: a progress monitoring unit and a production evaluation unit;

[0044] The progress monitoring unit is used to monitor the common stages and critical stages of each task in real time according to the initial monitoring cycle to obtain a number of common monitoring results and a number of critical monitoring results;

[0045] The production evaluation unit is used to perform a first progress evaluation according to the general monitoring result, perform a second progress evaluation according to the key monitoring result, and perform an overall evaluation according to the first progress evaluation result and the second progress evaluation result to determine the actual progress status.

[0046] Compared with the prior art, the beneficial effects of the present invention are that by quickly acquiring original order information and generating target order details, the initial production task is accurately determined, thereby improving the efficiency and accuracy of order processing; inventory counting is performed through a preset initial inventory query cycle, thereby ensuring the accuracy of inventory data, helping to avoid excess or shortage inventory, and reducing inventory costs; an initial production plan is generated in combination with task analysis results and current inventory status, and an execution sequence is obtained by sorting, making the production plan more reasonable and efficient; real-time monitoring of the production process and evaluation of the actual progress status help to promptly discover and resolve problems in production and ensure the smooth execution of the production plan; diagnosis is performed based on the actual progress status, and the adjustment mode is determined, thereby realizing the production plan Dynamic adjustment improves the flexibility and adaptability of production management; by counting the number of abnormal production plans, it can identify risk points in production, which helps to take targeted measures to reduce production risks; based on the planned production score, the initial management parameters are adjusted to promote the continuous optimization of management parameters and improve the performance of the overall production management system; by quickly responding to orders and optimizing production plans, the production preparation time is reduced; through precise inventory management and production planning, the utilization rate of raw materials and equipment is improved; by reducing inventory costs and improving production efficiency, the overall operating cost is reduced; through real-time monitoring and timely adjustments, product quality and consistency are improved; the automation and intelligent management of the production process is realized, and production efficiency is improved.

[0047] By quickly obtaining original order information, including project delivery deadlines, the number of required component types, and the required quantity of each type of component, the efficiency of order processing is improved; the production start time can be determined according to the target order details and the corresponding initial production tasks can be created, optimizing production planning and scheduling; the production time can be calculated based on the number of required component types and the required quantity of each type of component, and the production start time can be determined in combination with the project delivery deadline, improving the accuracy of production plans; the production complexity can be calculated based on the number of required component types and the required quantity of each type of component, reflecting the difficulty of the production task; the initial production task can be marked with difficulty based on the production complexity combined with the preset standard complexity, which helps to identify and process production tasks with higher complexity; standard complexity is used to measure the production task under normal conditions. The average or expected complexity level reflects the general ability of the production system to process orders in the absence of special circumstances, and helps to standardize the evaluation of production tasks; based on the comparison results of production complexity and standard complexity, the difficulty of production tasks can be marked, and the production plan can be dynamically adjusted as needed, which improves the flexibility and adaptability of production management; by accurately calculating and evaluating production tasks, it helps to improve production efficiency and product quality, reduce production costs and defective product rates; the determination of production start time and production complexity makes production plans more transparent and predictable, which helps to better plan resources and improve the controllability of the production process; by comparing production complexity and standard complexity, it can identify potential problems in the production process and promote continuous improvement and optimization of the production process; the flexibility and adaptability of production management are enhanced.

[0048] Inventory counts are conducted based on the initial inventory query cycle to obtain the actual inventory level, and the current inventory status is determined based on the actual inventory level, thereby optimizing inventory management. By comparing inventory units and determining the judgment of sub-units, excess or shortage of inventory can be avoided, reducing inventory costs. The corresponding actual application can be generated and purchase adjustments can be made based on the current inventory status, thereby improving supply chain efficiency. The setting of the initial inventory query cycle can be adjusted based on the number of original orders received within a week, and order changes can be flexibly responded to. Inventory assessment is made more standardized, which helps to better plan resources. Actual applications and purchase adjustments are made based on the current inventory status, so that inventory can be replenished in time and the risk of production interruptions can be reduced. Accurate evaluation and adjustment of inventory status improves the predictability of production plans, which helps to better plan production. By associating with factors such as order quantity and product line complexity, potential problems in inventory management can be identified, promoting continuous improvement and optimization of inventory management, optimizing inventory management, reducing inventory costs, and improving supply chain efficiency.

[0049] By analyzing each initial production task, the actual resource demand, the ordinary stage of the task and the critical stage of the task are determined, providing detailed information for the subsequent plan preparation; the priority score is calculated based on the actual resource demand, the ordinary stage of the task and the critical stage of the task in combination with the difficulty marking results and the current inventory status, ensuring the accuracy of the task priority; the initial production plan is sorted according to the numerical value of the priority score, and the initial execution sequence is obtained, which improves the efficiency of production scheduling; it helps to optimize resource allocation and ensure that key tasks and urgent tasks are given priority; the priority score is calculated in combination with the task analysis results, difficulty marking and inventory status, which improves the predictability of the production plan and helps to better plan production; through the determination of priority scores and execution sequences, high-risk tasks can be identified and handled in a timely manner to reduce production risks; optimizing production task priorities and resource allocation helps to improve production efficiency and product quality, and reduce production costs and defective product rates; the determination of priority scores and execution sequences makes production plans more transparent and operational, helping enterprises to better control the production process; the priority and resource allocation of production tasks are optimized, improving the predictability of production plans and production efficiency.

[0050] Through the initial monitoring cycle, the ordinary stage and the key stage of each task are monitored in real time, ensuring the real-time tracking and control of the production progress; the first progress evaluation and the second progress evaluation can be carried out according to the ordinary monitoring results and the key monitoring results, and the overall evaluation can be carried out to determine the actual progress status, thereby improving the evaluation accuracy of the production progress; through monitoring and evaluation, problems in the production process can be discovered in time, such as the progress of the ordinary stage or the key stage does not meet the single judgment condition, so that timely measures can be taken to solve the problem; according to the actual progress status, the production scheduling and resource allocation can be adjusted to ensure that key tasks and emergency tasks are given priority, thereby improving the efficiency of production scheduling; through production monitoring and evaluation, the predictability of the production plan can be improved, which helps to better plan production; according to the results of production monitoring and evaluation, potential problems in the production process can be identified, and the continuous improvement and optimization of the production process can be promoted; through monitoring and evaluation, high-risk tasks can be identified and handled in time to reduce production risks; by optimizing production scheduling and resource allocation, it helps to improve production efficiency and product quality, reduce production costs and defective product rates; through real-time monitoring of production progress and accurate evaluation of production progress, the efficiency of production scheduling and the accuracy of production plans are improved.

[0051] Through the judgment based on the production evaluation unit, the single diagnosis result of the initial production plan can be determined as abnormal in time, which is helpful to timely discover problems in the production process; the number of single diagnosis results that are abnormal in each initial production plan can be obtained to obtain the number of abnormal production plans, thereby improving the accuracy of abnormal situation identification; according to the ratio of the number of abnormal production plans to the total number of initial production plans, it can be determined whether the first adjustment signal, the second adjustment signal or the alarm signal needs to be issued, and the initial monitoring cycle and the initial inventory query cycle can be dynamically adjusted according to the signal to obtain the actual monitoring cycle and the actual inventory query cycle, thereby improving the flexibility and adaptability of production management; through diagnosis, counting and adjustment, production plans and resources can be optimized. Allocation ensures that key tasks and urgent tasks are given priority, thereby improving the efficiency of production scheduling; the results of production monitoring and evaluation can improve the predictability of production plans, which helps companies better plan production; based on the results of production monitoring and evaluation, potential problems in the production process can be identified, promoting continuous improvement and optimization of the production process; through monitoring and evaluation, high-risk tasks can be identified and handled in a timely manner, reducing production risks; by optimizing production scheduling and resource allocation, it helps to improve production efficiency and product quality, and reduce production costs and defective product rates; by timely diagnosing production problems, accurately counting abnormal production plans, and dynamically adjusting monitoring cycles and inventory query cycles, the flexibility and adaptability of production management are improved. BRIEF DESCRIPTION OF THE DRAWINGS

[0052] Figure 1 This is a schematic diagram of the structure of an adaptive intelligent production management system based on an Internet of Things platform according to an embodiment of the present invention;

[0053] Figure 2 This is a structural diagram of a procurement management module in an adaptive intelligent production management system based on an Internet of Things platform according to an embodiment of the present invention;

[0054] Figure 3 This is a schematic diagram of the structure of a planning management module in an adaptive intelligent production management system based on an Internet of Things platform according to an embodiment of the present invention;

[0055] Figure 4 This is a structural diagram of a production monitoring module in an adaptive intelligent production management system based on an Internet of Things platform according to an embodiment of the present invention;

[0056] The figure includes: 1-supply management module, 2-purchasing management module, 3-planning management module, 4-production monitoring module and 5-central control module. DETAILED DESCRIPTION

[0057] In order to make the objects and advantages of the present invention more clearly understood, the present invention is further described below in conjunction with embodiments; it should be understood that the specific embodiments described herein are only used to explain the present invention and are not used to limit the present invention.

[0058] The preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are only used to explain the technical principles of the present invention and are not intended to limit the protection scope of the present invention.

[0059] It should be noted that, in the description of the present invention, terms such as "up", "down", "left", "right", "inside" and "outside" indicating directions or positional relationships are based on the directions or positional relationships shown in the drawings. This is merely for the convenience of description and does not indicate or imply that the device or element must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it cannot be understood as a limitation on the present invention.

[0060] See also Figure 1-Figure 4 As shown, Figure 1 This is a schematic diagram of the structure of an adaptive intelligent production management system based on an Internet of Things platform according to an embodiment of the present invention; Figure 2 This is a structural diagram of a procurement management module in an adaptive intelligent production management system based on an Internet of Things platform according to an embodiment of the present invention; Figure 3 This is a schematic diagram of the structure of a planning management module in an adaptive intelligent production management system based on an Internet of Things platform according to an embodiment of the present invention; Figure 4 The structure of the production monitoring module in the adaptive intelligent production management system based on the Internet of Things platform according to an embodiment of the present invention is schematically shown.

[0061] The present invention provides an adaptive intelligent production management system based on an Internet of Things platform, comprising:

[0062] Supply management module 1, which is used to obtain each original order information to obtain a number of target order details, and determine the corresponding initial production tasks according to the target order details;

[0063] A purchasing management module 2, which is used to perform an inventory count according to a preset initial inventory query cycle to determine an inventory count result, determine a current inventory status according to the inventory count result, and perform corresponding purchasing management based on the current inventory status;

[0064] A planning management module 3 is used to analyze each initial production task to obtain a number of task analysis results, generate a number of corresponding initial production plans according to each task analysis result combined with the current inventory status, and sort each initial production plan based on each task analysis result to obtain an initial execution sequence, and plan production according to the initial execution sequence;

[0065] The production monitoring module 4 is used to monitor the actual production process corresponding to each initial production plan in real time according to a preset initial monitoring period, and evaluate each initial production plan according to the monitoring result to obtain the actual progress status;

[0066] A central control module 5, which is used to determine a single diagnosis result of the initial production plan according to the actual progress status, and determine a planned production level according to each single diagnosis result, and adjust the initial management parameters accordingly based on the planned production level to obtain actual management parameters;

[0067] Wherein, the initial management parameters include: the initial inventory query period and the initial monitoring period.

[0068] Specifically, the embodiments of the present invention quickly obtain original order information and generate target order details, thereby accurately determining the initial production task and improving the efficiency and accuracy of order processing; performing inventory counting through a preset initial inventory query cycle ensures the accuracy of inventory data, helps avoid excess or shortage inventory, and reduces inventory costs; generates an initial production plan based on task analysis results and current inventory status, and obtains an execution sequence through sorting, making the production plan more reasonable and efficient; monitors the production process in real time and evaluates the actual progress status, which helps to promptly discover and solve problems in production and ensure the smooth execution of the production plan; diagnoses are performed based on the actual progress status and the adjustment mode is determined, thereby realizing dynamic adjustment of the production plan. The system improves the flexibility and adaptability of production management; by counting the number of abnormal production plans, it can identify risk points in production, which helps to take targeted measures to reduce production risks; based on the planned production score, the initial management parameters are adjusted to promote the continuous optimization of management parameters and improve the performance of the overall production management system; by quickly responding to orders and optimizing production plans, the production preparation time is reduced; through precise inventory management and production planning, the utilization rate of raw materials and equipment is improved; by reducing inventory costs and improving production efficiency, the overall operating cost is reduced; through real-time monitoring and timely adjustments, product quality and consistency are improved; the production process is automated and intelligently managed, and production efficiency is improved.

[0069] Specifically, the supply management module 1 in this embodiment includes: an order account unit and a task creation unit;

[0070] The order account unit is used to obtain the project delivery period, the number of required component types and the required quantity of each type of component of each original order information;

[0071] The target order details include: the project delivery deadline, the number of required component types and the required quantity of each type of component;

[0072] The task creation unit is used to determine the production start time according to the target order details and create the corresponding initial production task;

[0073] The task creation unit includes: a first calculation subunit, a second calculation subunit and a marking subunit;

[0074] The first calculation subunit is used to calculate the production time required according to the number of required component types and the required quantity of each type of components, and determine the production start time according to the production time required and the project delivery deadline;

[0075] The second calculation subunit is used to calculate the production complexity according to the number of required component types and the required quantity of each type of components;

[0076] The marking subunit is used to mark the difficulty of the initial production task according to the production complexity combined with a preset standard complexity.

[0077] Specifically, in this embodiment, the first calculation subunit can obtain the single-piece production time Ti of each component type; wherein i represents the number of required component types, i=1, 2, ..., n;

[0078] The first calculation subunit calculates the production time T' according to the single-piece production time Ti and the required quantity Di of the type of parts;

[0079]

[0080] Where P is the production parallelism, that is, the maximum number of component types that can be produced simultaneously; P≤n;

[0081] The first calculation subunit determines the production start time T" according to the production time T' combined with the project delivery deadline D;

[0082] T" = D - T';

[0083] In this embodiment, the production time T' and the project delivery deadline D are measured in the same unit, for example, the unit is day;

[0084] The second calculation subunit is capable of obtaining a single-piece production complexity coefficient Ci of each component type;

[0085] The second calculation subunit calculates the production complexity Z according to the required number Di of the type of parts, the required number D' of the type of parts and the single-piece production complexity coefficient Ci;

[0086]

[0087] Wherein, a is a first calculation compensation parameter of the preset number D' of the required component types to the production complexity Z;

[0088] In this embodiment, the value of the first calculation compensation parameter a is determined according to the type of component of the target product. The larger the number of required component types D' is, the larger the value of the first calculation compensation parameter a is.

[0089] The marking subunit compares the production complexity with the standard complexity;

[0090] If the production complexity is greater than or equal to the standard complexity, the marking subunit marks the difficulty of the initial production task;

[0091] If the production complexity is less than the standard complexity, the marking subunit does not mark the difficulty of the initial production task;

[0092] In this embodiment, the standard complexity is used to measure the average or expected complexity level of production tasks under normal conditions; it reflects the normal ability of the production system to process orders without special circumstances; it is specifically set to 70%.

[0093] Specifically, the embodiments of the present invention improve the efficiency of order processing by quickly acquiring original order information, including the project delivery deadline, the number of component types required, and the required quantity of each type of component; can determine the production start time according to the target order details and create the corresponding initial production task, thereby optimizing the production plan and scheduling; can calculate the required production time according to the number of component types required and the required quantity of each type of component, and determine the production start time in combination with the project delivery deadline, thereby improving the accuracy of the production plan; can calculate the production complexity according to the number of component types required and the required quantity of each type of component, reflecting the difficulty of the production task; can mark the difficulty of the initial production task according to the production complexity combined with the preset standard complexity, which helps to identify and process production tasks with higher complexity; the standard complexity is used to measure the degree of difficulty of the production task in the normal The average or expected complexity level under normal conditions reflects the regular ability of the production system to process orders without special circumstances, and helps to standardize the evaluation of production tasks; based on the comparison results of production complexity and standard complexity, the difficulty of production tasks can be marked, and the production plan can be dynamically adjusted as needed, which improves the flexibility and adaptability of production management; by accurately calculating and evaluating production tasks, it helps to improve production efficiency and product quality, reduce production costs and defective product rates; the determination of production start time and production complexity makes production plans more transparent and predictable, which helps to better plan resources and improve the controllability of the production process; by comparing production complexity and standard complexity, potential problems in the production process can be identified, promoting continuous improvement and optimization of the production process; the flexibility and adaptability of production management are enhanced.

[0094] Specifically, the purchase management module 2 in this embodiment includes: an inventory comparison unit, an application generation unit and a purchase adjustment unit;

[0095] The inventory comparison unit is used to perform inventory counting according to the initial inventory query cycle to obtain an actual inventory level, and determine the current inventory status according to the actual inventory level;

[0096] The application generation unit is used to generate a corresponding actual application according to the current inventory status;

[0097] The purchasing adjustment unit is used to make corresponding purchasing adjustments according to the actual application;

[0098] The actual inventory level includes: actual inventory quantity and actual inventory type;

[0099] The inventory comparison unit includes: a first comparison subunit, a second comparison subunit and a determination subunit;

[0100] The first comparison subunit is used to determine whether the actual inventory level meets a first determination condition according to the actual inventory type in combination with a preset standard inventory type;

[0101] The second comparison subunit is used to determine whether the actual inventory level meets a second judgment condition according to the absolute value of the first difference combined with a preset first evaluation value;

[0102] The determining subunit is used to determine the current inventory status according to the first judgment condition and the second judgment condition;

[0103] Wherein, the first absolute value of the difference is the absolute value of the difference between the actual inventory quantity and the preset standard inventory quantity;

[0104] The absolute value of the first difference=|actual inventory quantity-standard inventory quantity|;

[0105] Based on the fact that the actual inventory type is greater than or equal to the standard inventory type, the first comparison subunit determines that the actual inventory level meets the first judgment condition;

[0106] Based on the absolute value of the first difference being less than or equal to the first evaluation value, the second comparing subunit determines that the actual inventory level meets the second judgment condition;

[0107] Based on the actual inventory level satisfying the first judgment condition and satisfying the second judgment condition, the determining subunit determines that the current inventory status is a normal inventory status;

[0108] Based on the absolute value of the first difference being greater than the first evaluation value and the actual inventory quantity being greater than the standard inventory quantity, the determining subunit determines that the current inventory state is an excess inventory state;

[0109] Based on the absolute value of the first difference being greater than the first evaluation value and the actual inventory quantity being less than the standard inventory quantity, the determining subunit determines that the current inventory state is a shortage inventory state;

[0110] In this embodiment, the initial inventory query period is set to January-March; the specific setting is affected by the number of original orders received within a week. The more the number of original orders received within a week, the smaller the value of the initial inventory query period;

[0111] The standard inventory types are used to measure the number of component types contained in the inventory to meet production requirements; the specific setting is affected by the complexity of the product line and the number of original orders received in a week;

[0112] The standard inventory quantity is used to measure the minimum quantity of various inventory types that should be included in the inventory to meet production needs; the specific setting is affected by the complexity of the product line and the number of original orders received in a week;

[0113] The first evaluation value is used to measure the tolerance for the difference between the actual inventory quantity and the standard inventory quantity in the inventory; the specific setting is affected by the complexity of the product line and the number of original orders received within a week;

[0114] When the current inventory status is the normal inventory status, the application generation unit does not generate any actual application, and the purchase adjustment unit does not perform purchase adjustment;

[0115] When the current inventory status is the excess inventory status, the application generation unit issues an actual application: stops purchasing; the purchase adjustment unit issues a delayed purchase signal;

[0116] When the current inventory status is the shortage inventory status, the application generation unit issues an actual application: immediate purchase; and the purchase adjustment unit issues an immediate purchase signal.

[0117] Specifically, the embodiment of the present invention optimizes inventory management by performing inventory counting according to the initial inventory query cycle to obtain the actual inventory level, and determining the current inventory status according to the actual inventory level; by comparing the inventory unit and determining the judgment of the sub-unit, excess or shortage of inventory can be avoided, and inventory costs are reduced; corresponding actual applications can be generated and purchase adjustments can be made according to the current inventory status, thereby improving supply chain efficiency; the setting of the initial inventory query cycle can be adjusted according to the number of original orders received within a week, and order changes can be flexibly responded to; inventory evaluation is made more standardized, which helps to better plan resources; actual applications and purchase adjustments are made according to the current inventory status, so that inventory can be replenished in time and the risk of production interruption can be reduced; accurate evaluation and adjustment of the inventory status improves the predictability of the production plan, which helps to better plan production; through the association with factors such as order quantity and product line complexity, potential problems in inventory management can be identified, and continuous improvement and optimization of inventory management can be promoted, thereby optimizing inventory management, reducing inventory costs, and improving supply chain efficiency.

[0118] Specifically, the plan management module 3 in this embodiment includes: a task analysis unit, a plan preparation unit, a plan scheduling unit and a plan execution unit;

[0119] The task analysis unit is used to analyze each initial production task to determine the actual resource requirements, a number of task common stages and a number of task critical stages of each initial production task;

[0120] The task analysis result includes: the actual resource demand, the ordinary stage of the task and the critical stage of the task;

[0121] The planning unit is used to calculate the priority score of the initial production task according to the actual resource demand, the ordinary stage of the task and the critical stage of the task combined with the difficulty marking result and the current inventory status to obtain the initial production plan;

[0122] The planning and scheduling unit is used to sort the initial production plans according to the numerical values ​​of the priority scores to obtain the initial execution sequence;

[0123] The plan execution unit is used to carry out planned production according to the initial execution sequence.

[0124] Specifically, the priority score K described in this embodiment;

[0125] K=F1×b1+F2×b2+s+y;

[0126] Wherein, F1 is the number of common stages of the task; F2 is the number of critical stages of the task; b1 is the first calculation adjustment parameter of the preset number of common stages of the task F1 for the priority score K; b2 is the second calculation adjustment parameter of the preset number of critical stages of the task F2 for the priority score K;

[0127] s is the difficulty mark compensation parameter; y is the inventory status compensation parameter;

[0128]

[0129] In this embodiment, the first calculation adjustment parameter b1 is set to 0.4; the second calculation adjustment parameter b2 is set to 0.8; the specific settings are affected by the complexity of the product line and the number of original orders received within a week.

[0130] Specifically, the embodiment of the present invention analyzes each initial production task to determine the actual resource requirements, the ordinary stage of the task and the critical stage of the task, thereby providing detailed information for subsequent plan preparation; the priority score is calculated based on the actual resource requirements, the ordinary stage of the task and the critical stage of the task in combination with the difficulty marking results and the current inventory status, thereby ensuring the accuracy of the task priority; the initial production plans are sorted according to the numerical value of the priority score to obtain the initial execution sequence, thereby improving the efficiency of production scheduling; it helps to optimize resource allocation and ensure that key tasks and urgent tasks are given priority; the priority score is calculated in combination with the task analysis results, difficulty marking and inventory status, thereby improving the predictability of the production plan and helping to better plan production; by determining the priority score and execution sequence, high-risk tasks can be identified and processed in a timely manner to reduce production risks; optimizing the priority of production tasks and resource allocation helps to improve production efficiency and product quality and reduce production costs and defective product rates; the determination of the priority score and execution sequence makes the production plan more transparent and operational, thereby helping enterprises to better control the production process; the priority and resource allocation of production tasks are optimized, thereby improving the predictability of the production plan and production efficiency.

[0131] Specifically, the production monitoring module 4 in this embodiment includes: a progress monitoring unit and a production evaluation unit;

[0132] The progress monitoring unit is used to monitor the common stages and critical stages of each task in real time according to the initial monitoring cycle to obtain a number of common monitoring results and a number of critical monitoring results;

[0133] The production evaluation unit is used to perform a first progress evaluation according to the general monitoring result, perform a second progress evaluation according to the key monitoring result, and perform an overall evaluation according to the first progress evaluation result and the second progress evaluation result to determine the actual progress status.

[0134] Specifically, the production evaluation unit in this embodiment obtains the number of common results in which the first progress evaluation fails in each common monitoring result, and obtains the number of key results in which the second progress evaluation fails in each key monitoring result;

[0135] If the number of common results / the total number of common monitoring results is greater than or equal to 1 / 3, the production evaluation unit determines that the common stage of the task does not meet the single determination condition;

[0136] If the number of common results / the total number of common monitoring results is less than 1 / 3, the production evaluation unit determines that the common stage of the task meets the single determination condition;

[0137] If the number of key results / the total number of key monitoring results is greater than or equal to 1 / 5, the production evaluation unit determines that the mission critical stage does not meet the single determination condition;

[0138] If the number of key results / the total number of key monitoring results is less than 1 / 5, the production assessment unit determines that the mission critical stage meets a single determination condition;

[0139] The production assessment unit determines the actual progress status according to the mission critical stage and the number of projects in the mission critical stage that meet the single determination condition;

[0140] If the number of items is equal to 2, the actual progress status is determined to be: qualified;

[0141] If the number of items is less than 2, the actual progress status is determined to be: unqualified;

[0142] In this embodiment, the initial monitoring period is set to 3-5 days; the specific setting is affected by the complexity of the product line and the number of original orders received within a week.

[0143] Specifically, the embodiment of the present invention performs real-time monitoring of the common stage and the key stage of each task through the initial monitoring cycle, thereby ensuring real-time tracking and control of the production progress; the first progress evaluation and the second progress evaluation can be performed according to the common monitoring results and the key monitoring results, and an overall evaluation can be performed to determine the actual progress status, thereby improving the evaluation accuracy of the production progress; through monitoring and evaluation, problems in the production process can be discovered in time, such as the progress of the common stage or the key stage does not meet the single judgment condition, so that timely measures can be taken to solve the problem; according to the actual progress status, the production scheduling and resource allocation can be adjusted to ensure that key tasks and emergency tasks are given priority, thereby improving the efficiency of production scheduling; through production monitoring and evaluation, the predictability of the production plan can be improved, which helps to better plan production; according to the results of production monitoring and evaluation, potential problems in the production process can be identified, and the continuous improvement and optimization of the production process can be promoted; through monitoring and evaluation, high-risk tasks can be identified and handled in time to reduce production risks; by optimizing production scheduling and resource allocation, it is helpful to improve production efficiency and product quality, reduce production costs and defective product rates; by real-time monitoring of production progress and accurate evaluation of production progress, the efficiency of production scheduling and the accuracy of production plans are improved.

[0144] Specifically, the central control module 5 in this embodiment includes: a diagnosis unit, a counting unit and an adjustment unit;

[0145] The diagnosis unit determines that the single diagnosis result of the initial production plan is abnormal when the actual progress status is determined to be unqualified based on the production evaluation unit;

[0146] The counting unit is used to obtain the number of abnormal single diagnosis results in each initial production plan to obtain the number of abnormal production plans;

[0147] The adjustment unit determines that the planned production level is level one and does not need to be adjusted when the number of abnormal production plans / the total number of initial production plans is less than 1 / 4;

[0148] When the number of abnormal production plans / the total number of initial production plans is greater than or equal to 1 / 4 and less than or equal to 1 / 2, the planned production level is determined to be level 2, and a first adjustment signal is issued;

[0149] When the number of abnormal production plans / the total number of initial production plans is greater than 1 / 2 and less than or equal to 3 / 4, the planned production level is determined to be level three, and a second adjustment signal is issued;

[0150] When the number of abnormal production plans / the total number of initial production plans is greater than 3 / 4, the planned production level is determined to be level 4, and an alarm signal is issued;

[0151] adjusting the initial monitoring period according to the first adjustment signal to obtain an actual monitoring period;

[0152] The initial inventory query period and the initial monitoring period are both adjusted according to the second adjustment signal to obtain an actual monitoring period and an actual inventory query period.

[0153] Specifically, the embodiment of the present invention can timely determine that a single diagnosis result of the initial production plan is abnormal through the determination based on the production evaluation unit, which is helpful to timely discover problems in the production process; it can obtain the number of single diagnosis results that are abnormal in each initial production plan to obtain the number of abnormal production plans, thereby improving the accuracy of abnormal situation identification; it can judge whether it is necessary to issue a first adjustment signal, a second adjustment signal or an alarm signal based on the ratio of the number of abnormal production plans to the total number of initial production plans, and dynamically adjust the initial monitoring period and the initial inventory query period according to the signal to obtain the actual monitoring period and the actual inventory query period, thereby improving the flexibility and adaptability of production management; through diagnosis, counting and adjustment, production can be optimized. Production planning and resource allocation ensure that key tasks and urgent tasks are given priority, thereby improving the efficiency of production scheduling; the results of production monitoring and evaluation can improve the predictability of production plans, helping companies to better plan production; based on the results of production monitoring and evaluation, potential problems in the production process can be identified, promoting continuous improvement and optimization of the production process; through monitoring and evaluation, high-risk tasks can be identified and handled in a timely manner, reducing production risks; by optimizing production scheduling and resource allocation, it helps to improve production efficiency and product quality, and reduce production costs and defective product rates; by timely diagnosing production problems, accurately counting abnormal production plans, and dynamically adjusting monitoring cycles and inventory query cycles, the flexibility and adaptability of production management are improved.

[0154] The calculation compensation parameters and the calculation adjustment parameters described in the present invention have two functions: one is to balance the left and right dimensions of the formula, and the other is to adjust the numerical results. No specific assignment is performed in this embodiment. In addition, the calculation formulas in this embodiment are used to intuitively reflect the adjustment relationship between the various numerical values, such as positive correlation and negative correlation. Unless otherwise specified, the parameter values ​​that are not specifically limited to numerical values ​​are all positive.

[0155] So far, the technical solutions of the present invention have been described in conjunction with the preferred embodiments shown in the accompanying drawings. However, it is easy for those skilled in the art to understand that the protection scope of the present invention is obviously not limited to these specific embodiments. Without departing from the principle of the present invention, those skilled in the art can make equivalent changes or substitutions to the relevant technical features, and the technical solutions after these changes or substitutions will fall within the protection scope of the present invention.

[0156] The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. For those skilled in the art, the present invention may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. An adaptive intelligent production management system based on the Internet of Things platform, It is characterized in that include: A supply management module, which is used to obtain each original order information to obtain a number of target order details, and determine the corresponding initial production tasks according to the target order details; A purchasing management module, which is used to perform an inventory count according to a preset initial inventory query cycle to determine an inventory count result, determine a current inventory status according to the inventory count result, and perform corresponding purchasing management based on the current inventory status; A planning management module, which is used to analyze each initial production task to obtain a number of task analysis results, generate a number of corresponding initial production plans according to each task analysis result combined with the current inventory status, and sort each initial production plan based on each task analysis result to obtain an initial execution sequence, and plan production according to the initial execution sequence; A production monitoring module is used to monitor the actual production process corresponding to each initial production plan in real time according to a preset initial monitoring period, and evaluate each initial production plan according to the monitoring results to obtain the actual progress status; A central control module, which is used to determine a single diagnosis result of the initial production plan according to the actual progress status, and determine a planned production level according to each single diagnosis result, and adjust the initial management parameters accordingly based on the planned production level to obtain actual management parameters; Wherein, the initial management parameters include: the initial inventory query period and the initial monitoring period.

2. According to claim 1, the adaptive intelligent production management system based on the Internet of Things platform, It is characterized in that The supply management module includes: an order account unit and a task creation unit; The order account unit is used to obtain the project delivery period, the number of required component types and the required quantity of each type of component of each original order information; The target order details include: the project delivery deadline, the number of required component types and the required quantity of each type of component; The task creation unit is used to determine the production start time according to the target order details and create the corresponding initial production task.

3. According to claim 2, the adaptive intelligent production management system based on the Internet of Things platform, It is characterized in that The task creation unit includes: a first calculation subunit, a second calculation subunit and a marking subunit; The first calculation subunit is used to calculate the production time required according to the number of required component types and the required quantity of each type of components, and determine the production start time according to the production time required and the project delivery deadline; The second calculation subunit is used to calculate the production complexity according to the number of required component types and the required quantity of each type of components; The marking subunit is used to mark the difficulty of the initial production task according to the production complexity combined with a preset standard complexity.

4. According to claim 3, the adaptive intelligent production management system based on the Internet of Things platform, It is characterized in that The purchasing management module includes: an inventory comparison unit, an application generation unit and a purchasing adjustment unit; The inventory comparison unit is used to perform inventory counting according to the initial inventory query cycle to obtain an actual inventory level, and determine the current inventory status according to the actual inventory level; The application generation unit is used to generate a corresponding actual application according to the current inventory status; The purchasing adjustment unit is used to make corresponding purchasing adjustments according to the actual application; The actual inventory level includes actual inventory quantity and actual inventory type.

5. According to claim 4, the adaptive intelligent production management system based on the Internet of Things platform, It is characterized in that The inventory comparison unit includes: a first comparison subunit, a second comparison subunit and a determination subunit; The first comparison subunit is used to determine whether the actual inventory level meets a first determination condition according to the actual inventory type in combination with a preset standard inventory type; The second comparison subunit is used to determine whether the actual inventory level meets a second judgment condition according to the absolute value of the first difference combined with a preset first evaluation value; The determining subunit is used to determine the current inventory status according to the first judgment condition and the second judgment condition; The first absolute value of the difference is the absolute value of the difference between the actual inventory quantity and the preset standard inventory quantity.

6. According to claim 5, the adaptive intelligent production management system based on the Internet of Things platform, It is characterized in that Based on the fact that the actual inventory type is greater than or equal to the standard inventory type, the first comparison subunit determines that the actual inventory level meets the first judgment condition; Based on the fact that the absolute value of the first difference is less than or equal to the first evaluation value, the second comparing subunit determines that the actual inventory level satisfies the second judgment condition.

7. The adaptive intelligent production management system based on the Internet of Things platform according to claim 6, It is characterized in that Based on the actual inventory level satisfying the first judgment condition and satisfying the second judgment condition, the determining subunit determines that the current inventory status is a normal inventory status; Based on the absolute value of the first difference being greater than the first evaluation value and the actual inventory quantity being greater than the standard inventory quantity, the determining subunit determines that the current inventory state is an excess inventory state; Based on the fact that the absolute value of the first difference is greater than the first evaluation value and the actual inventory quantity is less than the standard inventory quantity, the determining subunit determines that the current inventory status is a shortage inventory status.

8. According to claim 7, the adaptive intelligent production management system based on the Internet of Things platform, It is characterized in that The plan management module includes: a task analysis unit; The task analysis unit is used to analyze each initial production task to determine the actual resource requirements, a number of task common stages and a number of task critical stages of each initial production task; The task analysis result includes: the actual resource demand, the normal stage of the task and the critical stage of the task.

9. According to claim 8, the adaptive intelligent production management system based on the Internet of Things platform, It is characterized in that The plan management module also includes: a plan preparation unit, a plan scheduling unit and a plan execution unit; The planning unit is used to calculate the priority score of the initial production task according to the actual resource demand, the ordinary stage of the task and the critical stage of the task combined with the difficulty marking result and the current inventory status to obtain the initial production plan; The planning and scheduling unit is used to sort the initial production plans according to the numerical values ​​of the priority scores to obtain the initial execution sequence; The plan execution unit is used to carry out planned production according to the initial execution sequence.

10. The adaptive intelligent production management system based on the Internet of Things platform according to claim 9, It is characterized in that The production monitoring module includes: a progress monitoring unit and a production evaluation unit; The progress monitoring unit is used to monitor the common stages and critical stages of each task in real time according to the initial monitoring cycle to obtain a number of common monitoring results and a number of critical monitoring results; The production evaluation unit is used to perform a first progress evaluation according to the general monitoring result, perform a second progress evaluation according to the key monitoring result, and perform an overall evaluation according to the first progress evaluation result and the second progress evaluation result to determine the actual progress status.

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