Digital intelligent production management and control system for steel structure

Abstract

The invention relates to the technical field of steel structure production management, and discloses a steel structure-oriented digital intelligent production management and control system, which comprises a data collection unit, a progress analysis unit, a progress comparison unit, an adjustment distribution unit, an order planning unit and a result display unit. A foundation is built firmly for subsequent analysis and decision, and the progress analysis unit accurately calculates the machining duration; through a progress comparison unit, scientific judgment is carried out according to the order delivery date and the processing duration, and an adjustment signal is generated in time; cutting and welding equipment and workers are sequentially and accurately allocated by the adjusting and distributing unit, so that efficient utilization of resources is realized; the production cost is reduced, the production efficiency and the product quality are improved, the enterprise management process is optimized, powerful support is provided for enterprise decision making, enterprise competitiveness is enhanced, stable development of enterprises in the market is assisted, and the method has extremely high application and popularization value.

Description

Technical Field

[0001] The present invention relates to the technical field of steel structure production management, and in particular to a digital intelligent production control system for steel structures. Background Art

[0002] There are many challenges in the traditional steel structure production process. First, the production plan often lacks accurate data support. When obtaining steel structure order data, it is difficult to efficiently integrate and analyze information such as product quantity, specification parameters, and order delivery date, resulting in blind production plan formulation.

[0003] Secondly, there are serious deficiencies in the collection and use of production data. It is impossible to obtain key data such as the number of processing equipment used in production, processing efficiency, number of workers and working hours in real time and comprehensively. This makes it difficult to make reasonable plans based on actual production capacity when arranging production tasks, and processing equipment is often idle or overused, greatly reducing production efficiency.

[0004] Furthermore, in terms of progress control, it is difficult to accurately judge the relationship between production progress and order delivery date with traditional methods. Once production progress lags or equipment and manpower allocation are unreasonable, it is impossible to discover and take effective adjustment measures in time, which ultimately leads to delayed order delivery and damage to corporate reputation.

[0005] In addition, in the traditional steel structure production process, the deployment of equipment and personnel lacks scientific basis. Often deployment is based on experience, and the number of equipment and personnel required cannot be accurately calculated according to actual production needs, resulting in waste of resources or low production efficiency.

[0006] To sum up, in order to improve the efficiency and quality of steel structure production, meet order delivery requirements, and achieve optimal allocation of resources, a digital intelligent production control system for steel structures is urgently needed to solve the various problems existing in traditional production methods. Summary of the invention

[0007] The purpose of the present invention is to provide a digital intelligent production control system for steel structures, which solves the technical problems raised in the background technology.

[0008] The purpose of the present invention can be achieved through the following technical solutions:

[0009] A digital intelligent production control system for steel structures, including:

[0010] A data collection unit for acquiring order data of steel structure orders and production data of steel structure production;

[0011] Order data includes product quantity, product specification parameters, and order delivery date;

[0012] Among them, product specification parameters include the length, width and height of steel structure products; production data includes the number of processing equipment used in steel structure production and the processing efficiency of each processing equipment, the number of workers and the working hours of workers;

[0013] The progress analysis unit is used to perform processing analysis based on order data and production data, and determine the processing time of the corresponding steel structure order on the processing equipment based on the processing analysis results;

[0014] The progress comparison unit is used to make progress adjustment decisions based on the order delivery date and the processing time of the steel structure order on the processing equipment, and generate relevant adjustment signals for equipment and workers based on the adjustment decision results;

[0015] The adjustment allocation unit is used to adjust the processing equipment and workers according to the relevant adjustment signals of the equipment and workers.

[0016] As a further solution of the present invention: wherein the processing equipment includes cutting equipment and welding equipment for steel structures, and the number of them is marked as n 1 and n 2 ;

[0017] At the same time, the processing efficiency corresponding to the cutting equipment and welding equipment is marked as C 1 and C 2 ;

[0018] The number of workers includes the number of cutting workers and the number of welding workers, which are marked as m respectively. 1 and m 2 ;

[0019] At the same time, the working hours of the cutting workers and welding workers are marked as E respectively. 1 and E 2 ;

[0020] The length, width and height of the steel structure product are marked as L, W and H respectively, and the quantity of the product is marked as N.

[0021] As a further solution of the present invention: the processing and analysis method is as follows:

[0022] Step G1, cutting process analysis:

[0023] pass:

[0024] Calculate the steel structure cutting time T for this steel structure order 1 ;

[0025] In the formula, α 1 , α2 , α 3 The proportional coefficient is predetermined according to the cutting process of the steel structure;

[0026] Step G2, welding process analysis:

[0027] pass:

[0028] Calculate the steel structure welding time T for this steel structure order 2 ;

[0029] In the formula, β 1 , β 2 , β 3 It is a proportional coefficient predetermined according to the welding process of the steel structure.

[0030] As a further solution of the present invention: the progress adjustment determination method is as follows:

[0031] Step K1, by: SR = DR - QR;

[0032] Calculate the remaining duration SR of the steel structure order;

[0033] Among them, DR is the order delivery date of the steel structure order, and QR is the current date;

[0034] Step K2: Extract the steel structure cutting time T of the steel structure order 1 And steel structure welding time T 2 ;

[0035] Then through:

[0036] Calculate the processing period GR of the steel structure order;

[0037] Where γ1 and γ2 are the preset construction period compensation factors corresponding to steel structure cutting and welding;

[0038] Step K3, calculate the construction period adjustment judgment value KR of the steel structure order through KR = SR-GR:

[0039] If the value of KR is negative, it means that the number of equipment and workers of the processing equipment is insufficient, and at the same time, an adjustment signal for adding equipment and workers is generated;

[0040] If the value of KR is positive or 0, it means that the number of equipment and workers of the processing equipment is sufficient or appropriate. At the same time, when the construction period adjustment judgment value KR is greater than the preset adjustment threshold KRy, an equipment and worker adjustment signal is generated.

[0041] As a further solution of the present invention: the processing and blending treatment method is as follows:

[0042] StepU1, cutting equipment deployment:

[0043] pass:

[0044] Calculate the adjustment quantity of cutting equipment required for this steel structure order 1 ;

[0045] Among them, when the relevant adjustment signal is an increase adjustment signal, it means that the steel structure order needs to increase nt 1 Table cutting equipment;

[0046] When the relevant adjustment signal is a call-out adjustment signal, it means that the steel structure order can be called out 1 Table cutting equipment;

[0047] StepU2, welding equipment deployment:

[0048] pass:

[0049] Calculate the adjustment quantity nt of welding equipment required for this steel structure order 2 ;

[0050] Among them, when the relevant adjustment signal is an increase adjustment signal, it means that the steel structure order needs to increase nt 2 Welding equipment;

[0051] When the relevant adjustment signal is a call-out adjustment signal, it means that the steel structure order can be called out 2 Welding equipment;

[0052] StepU3, deployment of cutting personnel:

[0053] pass:

[0054] Calculate the adjusted number of cutting workers in this steel structure order mt 1 ;

[0055] Among them, when the relevant adjustment signal is an increase adjustment signal, it means that the steel structure order needs to increase mt 1 a cutting worker;

[0056] When the relevant adjustment signal is a call-out adjustment signal, it means that the steel structure order can be called out. 1 a cutting worker;

[0057] StepU4, deployment of welding personnel:

[0058] pass:

[0059] Calculate the adjusted number of welders in this steel structure order mt 2 ;

[0060] Among them, when the relevant adjustment signal is an increase adjustment signal, it means that the steel structure order needs to increase mt 2 a welder;

[0061] When the relevant adjustment signal is a call-out adjustment signal, it means that the steel structure order can be called out. 2 A welder.

[0062] As a further solution of the present invention: the order data also includes the order amount.

[0063] As a further solution of the present invention: also include:

[0064] The order planning unit is used to perform priority analysis on the steel structure orders according to the value coefficient DX and the remaining construction period SR of the steel structure orders, and obtain the priority value of the steel structure orders, and then produce the steel structure orders in order from high to low according to the priority value of the steel structure orders;

[0065] As a further solution of the present invention: the priority analysis method is as follows:

[0066] First pass:

[0067] Calculate the value coefficient DX of the steel structure order;

[0068] Among them, the value coefficient DX is used to measure the importance of the steel structure order, DE is the order amount of the steel structure order, and N is the number of products in the steel structure order;

[0069] Then pass:

[0070] Calculate the priority value YX of the steel structure order;

[0071] Among them, when the priority value YX is larger, the priority of the related steel structure order is higher.

[0072] As a further solution of the present invention: also include:

[0073] The result display unit is used to display the results obtained by the progress analysis unit, the progress comparison unit, the adjustment allocation unit and the order planning unit to relevant personnel.

[0074] Beneficial effects of the present invention:

[0075] Comprehensive and accurate data collection: The data collection unit can fully obtain the order data and production data of steel structure orders. It covers the product quantity, specification parameters and order delivery date of the order, as well as the number of processing equipment, processing efficiency, number of workers and working hours in the production process. This comprehensive data collection provides a solid foundation for subsequent accurate analysis and decision-making, avoiding production plan deviations caused by missing or inaccurate data.

[0076] In-depth data mining and utilization: Based on the collected data, the progress analysis unit accurately calculates the cutting and welding processing time of the steel structure through the preset proportional coefficient. This in-depth data mining and utilization method can fully consider the characteristics and requirements of different processing technologies, provide a scientific basis for the estimation of production progress, and has higher accuracy and reliability than traditional empirical estimation methods.

[0077] Accurate processing time assessment: Through the calculation of the progress analysis unit, the cutting and welding processing time of each steel structure order on the processing equipment can be accurately determined. This allows production managers to understand the specific production time requirements of each order in advance, arrange production plans reasonably, and avoid order delays caused by inaccurate production time estimates.

[0078] Scientific progress adjustment judgment: The progress comparison unit combines the order delivery date and processing time, calculates the remaining construction period, processing period and construction period adjustment judgment value, and can scientifically judge whether the processing equipment and the number of workers are sufficient. According to the judgment results, the corresponding adjustment signal is generated to timely discover the progress problems that may occur in the production process, and take effective adjustment measures to ensure that the production progress matches the order requirements.

[0079] Accurate allocation of equipment: The adjustment allocation unit accurately allocates cutting equipment and welding equipment according to the adjustment signal generated by the progress comparison unit. The required adjustment quantity of equipment is calculated through a specific formula, and equipment can be added or removed in time according to actual production needs to avoid idle or insufficient equipment, improve equipment utilization, and ensure smooth production process.

[0080] Reasonable arrangement of personnel: Similarly, the unit can also reasonably allocate cutting workers and welding workers. According to the adjustment signal, the adjustment quantity of workers is calculated to achieve accurate allocation of personnel, so that each worker can play the greatest role in the appropriate position, improve the work efficiency of workers, and avoid waste of human resources.

[0081] Reduce production costs: Through accurate resource allocation, excessive investment in equipment and personnel is avoided, and the costs of equipment purchase, maintenance and personnel salaries are reduced. At the same time, reasonable production schedule arrangements reduce losses such as liquidated damages and customer loss that may arise from order delays, further reducing the company's operating costs.

[0082] Improve production efficiency: The intelligent control of the system makes the production process more efficient and orderly. The reasonable allocation of equipment and personnel ensures the close connection of production links, reduces waiting time and idle time in the production process, and improves overall production efficiency. Efficient production can complete more orders in the same time and increase the output and profit of the enterprise.

[0083] Improve product quality: Accurate production progress control and resource allocation help ensure stable product quality. Under a reasonable production rhythm, workers can focus more on production operations, and equipment can also process in a normal operating state, reducing product quality problems caused by excessive production pressure or equipment failure, and improving the company's product competitiveness.

[0084] Optimize enterprise management process: The application of this system realizes the digital and intelligent management of the steel structure production process, transforming the traditional manual management mode into a scientific data analysis and decision-making mode. This helps to optimize the enterprise management process, improve management efficiency, reduce management costs, and make the enterprise management more standardized.

[0085] Enhance enterprise competitiveness: By improving production efficiency, reducing costs and improving product quality, enterprises can occupy a more advantageous position in the market competition. Quickly responding to customer order needs and delivering high-quality products on time can enhance customer satisfaction and loyalty, establish a good corporate image, and lay a solid foundation for the long-term development of the enterprise.

[0086] Support for enterprise decision-making: The large amount of production data collected and analyzed by the system provides strong support for enterprise decision-making. Enterprise managers can use this data to understand the bottlenecks and potential problems in the production process, adjust production strategies and resource allocation in a timely manner, make more scientific and reasonable decisions, and promote the sustainable development of the enterprise.

[0087] In summary, the digital intelligent production control system for steel structures of the present invention has brought significant economic and management benefits to steel structure production enterprises through optimization of data integration, progress control, resource allocation and other aspects, and has broad application prospects and promotion value. BRIEF DESCRIPTION OF THE DRAWINGS

[0088] The present invention will be further described below in conjunction with the accompanying drawings.

[0089] Figure 1It is a system block diagram of a digital intelligent production control system for steel structures of the present invention.

[0090] Figure 2 It is a flow chart of adjusting the distribution unit in a digital intelligent production control system for steel structures of the present invention. DETAILED DESCRIPTION

[0091] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0092] Embodiment 1

[0093] See also Figure 1 and Figure 2 As shown, the present invention is a digital intelligent production control system for steel structures, comprising:

[0094] A data collection unit for acquiring order data of steel structure orders and production data of steel structure production;

[0095] Order data includes product quantity, product specification parameters, and order delivery date;

[0096] Among them, the product specification parameters include the length, width, and height of the steel structure product, which are marked as L, W, and H respectively, and the product quantity is marked as N;

[0097] Production data includes the number of processing equipment used in steel structure production and the processing efficiency of each processing equipment, the number of workers and the working hours of workers;

[0098] The processing equipment includes steel structure cutting equipment and welding equipment, and their quantities are marked as n. 1 and n 2 ;

[0099] At the same time, the processing efficiency corresponding to the cutting equipment and welding equipment is marked as C 1 and C 2 ;

[0100] For example:

[0101] If the number of cutting devices is 5, then n 1 =5, each cutting device cuts 10 meters per hour, then C 1 =10;

[0102] If the number of welding equipment is 8, then n2 =8, each welding equipment welds 5 meters per hour, then C 2 =5;

[0103] The number of workers includes the number of cutting workers and the number of welding workers, which are marked as m respectively. 1 and m 2 ;

[0104] The working hours of the cutters and welders are marked as E 1 and E 2 ;

[0105] For example:

[0106] If the number of cutting workers is 10, then m 1 =10, each cutting worker works 8 hours a day, then E 1 =8;

[0107] If the number of welding workers is 15, then m 2 =15, each welder works 8 hours a day, then E 2 =8;

[0108] The progress analysis unit is used to perform processing analysis based on order data and production data, and determine the processing time of the corresponding steel structure order on the processing equipment based on the processing analysis results;

[0109] The specific method is as follows:

[0110] Step G1, cutting process analysis:

[0111] pass:

[0112] Calculate the steel structure cutting time T for this steel structure order 1 ;

[0113] In the formula, α 1 , α 2 , α 3 The proportional coefficient is predetermined according to the cutting process of the steel structure;

[0114] In this embodiment, α 1 , α 2 , α 3 The value of is determined by the ratio of the corresponding side length of the steel structure product to the required cutting distance; for example, if the steel structure product needs to be cut on both sides at its length, then α 1 The value of is 2. If the steel structure product needs to be cut on one side at its length, then α 1 The value of is 1. If the steel structure product does not need to be cut at its length position, then α1 The value of is 0;

[0115] Step G2, welding process analysis:

[0116] pass:

[0117] Calculate the steel structure welding time T for this steel structure order 2 ;

[0118] In the formula, β 1 , β 2 , β 3 The proportionality factor is predetermined according to the welding process of the steel structure;

[0119] In this embodiment, β 1 , β 2 , β 3 The value of is determined based on the ratio of the corresponding side length of the steel structure product to the required welding distance.

[0120] This embodiment uses a data collection unit to comprehensively acquire steel structure order data and production data, providing a rich and accurate data basis for subsequent production analysis, which helps to accurately control the production process; the progress analysis unit calculates and analyzes the cutting and welding time of the steel structure based on the collected data through a specific formula, and can accurately determine the processing time of each order on the processing equipment, providing a quantitative basis for the reasonable arrangement of production progress, and helping to improve the scientificity and accuracy of the production plan.

[0121] Embodiment 2

[0122] See also Figure 1 and Figure 2 As shown, as the second embodiment of the present invention, when the present application is implemented, compared with the first embodiment, the technical solution of this embodiment is different from that of the first embodiment only in that the second embodiment further includes:

[0123] The progress comparison unit is used to make progress adjustment decisions based on the order delivery date and the processing time of the steel structure order on the processing equipment, and generate relevant adjustment signals for equipment and workers based on the adjustment decision results;

[0124] The specific method is as follows:

[0125] Step K1, by: SR = DR - QR;

[0126] Calculate the remaining duration SR of the steel structure order;

[0127] Among them, DR is the order delivery date of the steel structure order, and QR is the current date;

[0128] Step K2: Extract the steel structure cutting time T of the steel structure order 1 And steel structure welding time T 2 ;

[0129] Then through:

[0130] Calculate the processing period GR of the steel structure order;

[0131] Where γ1 and γ2 are the preset construction period compensation factors corresponding to steel structure cutting and welding;

[0132] In this embodiment, when the steel structure is being cut, the preparation of the cutting equipment, the positioning and fixing of the steel materials, and other links will affect the continuity of the steel structure lifting process to a certain extent, resulting in fluctuations in the lifting time. Similarly, in the welding process, the groove treatment before welding, the weld inspection after welding, and other work will also interfere with the normal lifting operation. At this time, the significance of the construction period compensation factor is to reasonably compensate for the lifting time for the impact of the cutting and welding operations on the steel structure lifting time, to ensure that the overall construction schedule is more scientific and accurate, and to ensure that the project can be carried out efficiently and orderly within the scheduled construction period;

[0133] Step K3, calculate the construction period adjustment judgment value KR of the steel structure order through KR = SR-GR:

[0134] If the value of KR is negative, it means that the number of equipment and workers of the processing equipment is insufficient, and at the same time, an adjustment signal for adding equipment and workers is generated;

[0135] If the value of KR is positive or 0, it means that the number of equipment and workers of the processing equipment is sufficient or appropriate. At the same time, when the construction period adjustment judgment value KR is greater than the preset adjustment threshold KRy, the adjustment signal of the equipment and workers is generated;

[0136] An adjustment allocation unit is used to adjust and allocate processing equipment and workers according to relevant adjustment signals of equipment and workers;

[0137] The specific method is as follows:

[0138] StepU1, cutting equipment deployment:

[0139] pass:

[0140] Calculate the adjustment quantity of cutting equipment required for this steel structure order 1 ;

[0141] Among them, when the relevant adjustment signal is an increase adjustment signal, it means that the steel structure order needs to increase nt 1 Table cutting equipment;

[0142] When the relevant adjustment signal is a call-out adjustment signal, it means that the steel structure order can be called out 1 Table cutting equipment;

[0143] StepU2, welding equipment deployment:

[0144] pass:

[0145] Calculate the adjustment quantity nt of welding equipment required for this steel structure order 2 ;

[0146] Among them, when the relevant adjustment signal is an increase adjustment signal, it means that the steel structure order needs to increase nt 2 Welding equipment;

[0147] When the relevant adjustment signal is a call-out adjustment signal, it means that the steel structure order can be called out 2 In this embodiment, call nt 2 A welding machine as a backup or for other tasks;

[0148] StepU3, deployment of cutting personnel:

[0149] pass:

[0150] Calculate the adjusted number of cutting workers in this steel structure order mt 1 ;

[0151] Among them, when the relevant adjustment signal is an increase adjustment signal, it means that the steel structure order needs to increase mt 1 a cutting worker;

[0152] When the relevant adjustment signal is a call-out adjustment signal, it means that the steel structure order can be called out. 1 cutting workers. In this embodiment, mt1 cutting workers are called out for flexible deployment;

[0153] StepU4, deployment of welding personnel:

[0154] pass:

[0155] Calculate the adjusted number of welders in this steel structure order mt 2 ;

[0156] Among them, when the relevant adjustment signal is an increase adjustment signal, it means that the steel structure order needs to increase mt 2 a welder;

[0157] When the relevant adjustment signal is a call-out adjustment signal, it means that the steel structure order can be called out. 2 A welder.

[0158] In this embodiment, the progress comparison unit can determine in real time whether the number of processing equipment and workers meets the order delivery requirements by calculating the remaining construction period, processing period and construction period adjustment judgment value, and then generate corresponding adjustment signals. This enables the production process to be dynamically adjusted according to the actual progress, timely discover and solve potential problems of insufficient or excessive production resources, effectively ensure the timely delivery of orders, and improve production efficiency. Based on the adjustment signal, the adjustment allocation unit accurately calculates and allocates the number of cutting equipment, welding equipment, cutting workers and welding workers through specific formulas, thereby realizing the reasonable allocation of production resources, avoiding waste or excessive use of resources, further optimizing the production process, and improving resource utilization efficiency.

[0159] Embodiment 3

[0160] See also Figure 1 and Figure 2 As shown, as the third embodiment of the present invention, when the present application is implemented, compared with the first and second embodiments, the technical solution of this embodiment is to combine the solutions of the first and second embodiments, and the difference between the technical solution of this embodiment and the first and second embodiments is only in this embodiment;

[0161] The order data also includes the order amount;

[0162] At the same time, this embodiment also includes:

[0163] The order planning unit is used to perform priority analysis on the steel structure orders according to the value coefficient DX and the remaining construction period SR of the steel structure orders, and obtain the priority value of the steel structure orders, and then produce the steel structure orders in order from high to low according to the priority value of the steel structure orders;

[0164] The priority analysis method is as follows:

[0165] First pass:

[0166] Calculate the value coefficient DX of the steel structure order;

[0167] Among them, the value coefficient DX is used to measure the importance of the steel structure order, DE is the order amount of the steel structure order, and N is the number of products in the steel structure order;

[0168] Then pass:

[0169] Calculate the priority value YX of the steel structure order;

[0170] Among them, when the priority value YX is larger, the priority of the related steel structure order is higher.

[0171] In this embodiment, the order planning unit measures the importance of steel structure orders by calculating the value coefficient, comprehensively considering the order amount and product quantity, and provides an important quantitative indicator for order priority analysis, which helps enterprises to more reasonably evaluate the order value. The order priority value is calculated in combination with the remaining construction period, and production is sorted from high to low according to the priority, so that enterprises can give priority to important and urgent orders, optimize the allocation of production resources, improve the overall operational efficiency of the enterprise, and ensure that enterprise resources can be invested in the production of orders that have a greater impact on enterprise benefits.

[0172] Embodiment 4

[0173] See also Figure 1 and Figure 2 As shown, as the fourth embodiment of the present invention, when the present application is implemented, compared with the first embodiment, the second embodiment and the third embodiment, the difference between the present embodiment and the first embodiment, the second embodiment and the third embodiment is that the present embodiment also includes:

[0174] The result display unit is used to display the results obtained by the progress analysis unit, the progress comparison unit, the adjustment allocation unit and the order planning unit to relevant personnel.

[0175] In this embodiment, the result display unit displays the results of key links such as progress analysis, progress comparison, adjustment allocation and order planning to relevant personnel, making the internal information of the enterprise more transparent, facilitating personnel from various departments to understand the production status in a timely manner, providing clear and intuitive data support for decision-making, promoting collaboration and communication between departments, and improving the overall operational efficiency of the enterprise.

[0176] Embodiment 5

[0177] See also Figure 1 and Figure 2 As shown, as the fifth embodiment of the present invention, when the present application is implemented specifically, compared with the first, second, third and fourth embodiments, the technical solution of this embodiment is to combine the solutions of the above-mentioned first, second, third and fourth embodiments for implementation.

[0178] This embodiment comprehensively implements the solutions of the previous four embodiments, covering multiple aspects such as accurate data collection and analysis, dynamic progress adjustment, reasonable allocation of resources, order priority planning, and transparent display of information, forming a comprehensive, systematic and efficient digital intelligent production control system for steel structures, which can comprehensively improve the company's production management level, optimize production processes, improve production efficiency and resource utilization, and enhance the company's market competitiveness.

[0179] It should be stated that all order data and production data collected in this application are collected with the user's consent and authorization, and the use of user data is legal and compliant, and the use and processing of user data comply with relevant laws, regulations and standards in relevant regions.

[0180] The above formulas are all dimensionless and numerical calculations. The formula is a formula for the most recent real situation obtained by collecting a large amount of data and performing software simulation. The preset parameters and thresholds in the formula are set by technicians in this field according to actual conditions.

[0181] The above is only a specific implementation of the present application, but the protection scope of the present application is not limited thereto. Any person skilled in the art who is familiar with the present technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A digital intelligent production control system for steel structures, characterized in that: include: A data collection unit for acquiring order data of steel structure orders and production data of steel structure production; Order data includes product quantity, product specification parameters, and order delivery date, where product specification parameters include the length, width, and height of steel structure products; production data includes the number of processing equipment used in steel structure production and the processing efficiency of each processing equipment, the number of workers, and the working hours of workers; The progress analysis unit is used to perform processing analysis based on order data and production data, and determine the processing time of the corresponding steel structure order on the processing equipment based on the processing analysis results; The progress comparison unit is used to make progress adjustment decisions based on the order delivery date and the processing time of the steel structure order on the processing equipment, and generate relevant adjustment signals for equipment and workers based on the adjustment decision results; The adjustment allocation unit is used to adjust the processing equipment and workers according to the relevant adjustment signals of the equipment and workers.

2. According to claim 1, a digital intelligent production control system for steel structures is characterized in that: in, The processing equipment includes cutting equipment and welding equipment for steel structures, and their quantities are marked as n1 and n2 respectively; At the same time, the processing efficiencies corresponding to the cutting equipment and welding equipment are marked as C1 and C2 respectively; The number of workers includes the number of cutting workers and the number of welding workers, which are marked as m1 and m2 respectively; At the same time, the working hours of the cutting workers and welding workers are marked as E1 and E2 respectively; The length, width and height of the steel structure product are marked as L, W and H respectively, and the quantity of the product is marked as N.

3. According to claim 2, a digital intelligent production control system for steel structures is characterized in that: The processing and analysis methods are as follows: Step G1, cutting process analysis: pass: Calculate the steel structure cutting time T1 of the steel structure order; Wherein, α1, α2, and α3 are proportional coefficients predetermined according to the cutting process of the steel structure; Step G2, welding process analysis: pass: Calculate the steel structure welding time T2 of the steel structure order; Wherein, β1, β2, and β3 are proportional coefficients predetermined according to the welding process of the steel structure.

4. The digital intelligent production control system for steel structures according to claim 3 is characterized in that: The progress adjustment is determined as follows: Step K1, by: SR = DR - QR; Calculate the remaining duration SR of the steel structure order; Among them, DR is the order delivery date of the steel structure order, and QR is the current date; Step K2, extract the steel structure cutting time T1 and steel structure welding time T2 of the steel structure order; Then through: Calculate the processing period GR of the steel structure order; Where γ1 and γ2 are the preset construction period compensation factors corresponding to steel structure cutting and welding; Step K3, calculate the construction period adjustment judgment value KR of the steel structure order through KR = SR-GR.

5. The digital intelligent production control system for steel structures according to claim 3 is characterized in that: In Step K3, if the value of KR is negative, it means that the number of equipment and workers of the processing equipment is insufficient, and an adjustment signal for adding equipment and workers is generated at the same time; If the value of KR is positive or 0, it means that the number of equipment and workers of the processing equipment is sufficient or appropriate. At the same time, when the construction period adjustment judgment value KR is greater than the preset adjustment threshold KRy, an equipment and worker adjustment signal is generated.

6. A digital intelligent production control system for steel structures according to claim 5, characterized in that: The processing and deployment methods are as follows: StepU1, cutting equipment deployment: pass: Calculate the adjustment quantity nt1 of cutting equipment required for the steel structure order; StepU2, welding equipment deployment: pass: Calculate the adjustment quantity nt2 of welding equipment required for the steel structure order; StepU3, deployment of cutting personnel: pass: Calculate the adjusted number of cutting workers mt1 in the steel structure order; StepU4, deployment of welding personnel: pass: Calculate the adjusted number of welding workers mt2 in this steel structure order.

7. The digital intelligent production control system for steel structures according to claim 6 is characterized in that: in: When the relevant adjustment signal is an addition adjustment signal, it means that the steel structure order needs to add nt1 cutting equipment, nt2 welding equipment, mt1 cutting workers, and mt2 welding workers. When the relevant adjustment signal is a call-out adjustment signal, it means that the steel structure order can call out nt1 cutting equipment, that the steel structure order can call out nt2 welding equipment, that the steel structure order can call out mt1 cutting workers, and that the steel structure order can call out mt2 welding workers.

8. The digital intelligent production control system for steel structures according to claim 1 is characterized in that: Also includes: The order planning unit is used to perform priority analysis on the steel structure orders according to the value coefficient DX and the remaining construction period SR of the steel structure orders, and obtain the priority value of the steel structure orders, and then produce the steel structure orders in order from high to low according to the priority value of the steel structure orders; At the same time, the order data also includes the order amount.

9. The digital intelligent production control system for steel structures according to claim 8, characterized in that: The priority analysis method is as follows: First pass: Calculate the value coefficient DX of the steel structure order; Among them, the value coefficient DX is used to measure the importance of the steel structure order, DE is the order amount of the steel structure order, and N is the number of products in the steel structure order; Then pass: Calculate the priority value YX of the steel structure order; Among them, when the priority value YX is larger, the priority of the related steel structure order is higher.

10. A digital intelligent production control system for steel structures according to claim 9, characterized in that: Also includes: The result display unit is used to display the results obtained by the progress analysis unit, the progress comparison unit, the adjustment allocation unit and the order planning unit to relevant personnel.

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