Data analysis and optimization system for metal furniture production based on cloud computing

Abstract

The present invention discloses a data analysis and optimization system for metal furniture production links based on cloud computing, which belongs to the technical field of furniture production data analysis. The system is used to solve the technical problems of poor local supervision and analysis effects and poor overall mining and expansion management effects in the existing solutions for the metal furniture production links. The system monitors and counts various cost data in different aspects of the cost dimension and the processing dimension and performs digital processing and calculation to determine the cost evaluation status and processing and production status corresponding to the metal furniture. The system integrates and calculates the supervision and analysis results of different dimensions of the early stage of metal furniture processing and production to obtain the corresponding production validity, analyzes and determines the production status corresponding to the metal furniture being produced and processed, and implements targeted abnormal data statistics, and performs digital processing and analysis on the abnormal states corresponding to different abnormal dimensions, and implements targeted optimization management of the production steps of different dimensions of subsequent production and processing of metal furniture according to the analysis results.

Description

Technical Field

[0001] The present invention relates to the technical field of furniture production data analysis, and in particular to a data analysis and optimization system for metal furniture production links based on cloud computing. Background Art

[0002] The production of metal furniture involves several steps, from sourcing raw materials to assembly and quality checking of the final product.

[0003] When implementing the existing data analysis optimization plan for the metal furniture production link, it is unable to conduct local supervision and data analysis in different dimensions of different types of metal furniture processing and production, and analyze the production status corresponding to the metal furniture processing and production based on the supervision and analysis results of different dimensions. It is also unable to conduct data mining on the production status obtained from the analysis to implement targeted optimization management of the subsequent production links of metal furniture in different dimensions, resulting in poor local supervision and analysis effects in the metal furniture production link and poor overall mining and expansion management effects. Summary of the Invention

[0004] The purpose of the present invention is to provide a data analysis and optimization system for the metal furniture production process based on cloud computing, which is used to solve the technical problems of poor local supervision and analysis effect and poor overall mining and expansion management effect in the metal furniture production process in existing solutions.

[0005] The purpose of the present invention can be achieved through the following technical solutions:

[0006] The cloud computing-based data analysis and optimization system for metal furniture production includes:

[0007] The metal furniture production cost data monitoring and processing module is used to monitor and compile data on the metal furniture to be produced from the cost dimension, and to digitally process and combine the monitoring and statistical data of the cost dimension to obtain a cost supervision processing sequence;

[0008] The metal furniture production and processing data monitoring and processing module is used to monitor and collect data from the processing dimension of the entire metal furniture production process, and digitize and combine the monitoring and statistical data of the processing dimension to obtain a processing supervision sequence;

[0009] The multi-dimensional evaluation and optimization module for metal furniture production and processing is used to integrate and calculate the cost supervision processing sequence and processing supervision processing sequence obtained from the processing of different dimensions of metal furniture processing and production, determine the corresponding production status of the metal furniture, conduct reliability analysis on the local status of all processed and produced metal furniture of the same type in different dimensions, and adaptively implement targeted optimization management for the production links of different dimensions of this type of metal furniture based on the analysis results;

[0010] Among them, the cost supervision processing sequence and processing supervision processing sequence obtained by processing different dimensions of metal furniture processing and production are obtained, and the production validity of the corresponding processing and production of the metal furniture is calculated according to the cost supervision processing sequence and the processing supervision processing sequence;

[0011] Perform data analysis on production validity to determine the production status of the corresponding processing and production of the metal furniture, and increase the total number of cost dimension anomalies and / or the total number of processing dimension anomalies corresponding to the metal furniture by one;

[0012] Count the total number of cost dimension anomalies and the total number of processing dimension anomalies corresponding to all processed and produced metal furniture of the same type and calculate the local reliability corresponding to different dimensions separately;

[0013] Analyze the local reliability corresponding to different dimensions, and implement targeted optimization management for subsequent production steps of the corresponding dimensions based on the analysis results.

[0014] Preferably, the production dimensions of the metal furniture to be produced corresponding to different assembly structures are obtained, and the different production dimensions are numbered and marked;

[0015] Obtaining the contact surfaces between different assembly structures and their corresponding welding areas;

[0016] Obtain the processing area that needs to be surface treated for different assembly structures;

[0017] All assembly structures monitored and counted for the metal furniture to be produced, as well as the corresponding assembly structure production dimensions, all welding areas, and all processing areas are sorted and combined to obtain monitoring statistical data.

[0018] Preferably, when digitally processing the monitoring statistical data corresponding to the metal furniture to be produced, all contact surfaces i between different assembly structures and all corresponding welding areas SHi are obtained; i=1, 2, 3, ..., n; n is a positive integer; and the welding cost assessment value HPc corresponding to the metal furniture to be produced is calculated using the formula HPc=JH×SHi; where JH is the welding cost per unit welding area;

[0019] Also, obtain all surfaces j that need to be surface treated for different assembly structures and all corresponding treatment areas SCj; j = 1, 2, 3, ..., m; m is a positive integer; and calculate the treatment cost assessment value CPc corresponding to the metal furniture to be produced through the formula CPc = JC × SCj; where JC is the treatment cost per unit treatment area.

[0020] Preferably, the calculated welding cost evaluation value and processing cost evaluation value are obtained by The production cost status CZ is calculated using the formula; where GC is the fixed cost corresponding to the metal furniture to be produced; A is the standard production cost corresponding to the metal furniture to be produced; is the rounding function;

[0021] Performing data analysis on the production cost status to determine the cost evaluation status of the corresponding cost dimension of the metal furniture to be produced and marking it, thereby obtaining the first normally produced furniture or the first abnormally produced furniture;

[0022] The calculated welding cost assessment value, processing cost assessment value, production cost status and the first normally produced furniture or the first abnormally produced furniture with corresponding marks are sorted and combined to obtain a cost supervision processing sequence corresponding to the metal furniture to be produced.

[0023] Preferably, all waste generated during the entire metal furniture processing process and their corresponding waste weight ZF are obtained;

[0024] And, according to the time point when the metal furniture processing starts and the time point when the processing ends, the corresponding processing duration Tc is calculated;

[0025] The obtained waste weight and processing duration are calculated by the formula Calculate the processing state degree JZ corresponding to the production of metal furniture; where ZC is the unit weight cost of metal furniture; B is the standard value of the waste cost; and Tc´ is the standard duration of processing corresponding to metal furniture.

[0026] Preferably, data analysis is performed on the processing status to determine the processing status of the corresponding processing dimension of the metal furniture to be produced and marked to obtain the second normal production furniture or the second abnormal production furniture;

[0027] The calculated processing status and the corresponding marked second normal production furniture or second abnormal production furniture are sorted and combined to obtain a processing supervision and processing sequence corresponding to the production of metal furniture.

[0028] Preferably, the cost supervision processing sequence and processing supervision processing sequence obtained from different dimensions of metal furniture processing production are obtained, and the cost supervision processing sequence and processing supervision processing sequence are traversed to obtain the production cost status and processing status respectively, and the formula is used to calculate the cost supervision processing sequence and processing supervision processing sequence. Calculate and obtain the production validity SX of the corresponding processing and production of the metal furniture; where K is the maximum value corresponding to the production cost status degree and the processing status degree when they are not 0.

[0029] Preferably, when determining the production status of the corresponding processing and production of the metal furniture according to the production validity, data analysis of the production validity is performed;

[0030] If the production validity is 0, the production status of metal furniture processing and production is normal and a prompt is generated;

[0031] If the production validity is 1, a slight abnormality in the production status of metal furniture processing and production is generated and prompted, and the total number of abnormalities in the cost dimension corresponding to the metal furniture is increased by one or the total number of abnormalities in the processing dimension is increased by one;

[0032] If the production validity is 2, a severe abnormality in the production status of metal furniture processing and production will be generated and prompted, and the total number of abnormalities in the cost dimension and the total number of abnormalities in the processing dimension corresponding to the metal furniture will be increased by one.

[0033] Preferably, the total number of cost dimension anomalies N1 and the total number of processing dimension anomalies N2 corresponding to all processed and produced metal furniture of the same type are counted, and the formula The local reliability JKk corresponding to different dimensions is calculated separately; where k=1, 2; JKk is JK1 and JK2, which are the local reliability of the cost dimension and the local reliability of the processing dimension of the same type of metal furniture respectively; Nk is N1 and N2; Ck is C1 and C2, which are the local reliability standard values ​​of the cost dimension and the local reliability standard values ​​of the processing dimension of the same type of metal furniture respectively; N is the total number of metal furniture processed and produced of the same type.

[0034] Preferably, when implementing targeted optimization management for the production links of different dimensions of metal furniture, the local reliability corresponding to different dimensions is analyzed. If the local reliability is less than or equal to 0, the corresponding dimension is associated with the local reliability state;

[0035] If the local reliability is greater than 0, the dimension to which it belongs will be associated with a local unreliable state, and targeted optimization management will be implemented for the subsequent production steps of the dimension to which it belongs.

[0036] Compared with the existing solutions, the present invention achieves the following beneficial effects:

[0037] The present invention monitors, compiles statistics, and digitally processes and calculates various cost data in different aspects of the cost dimension and the processing dimension, and performs data analysis on the calculated production cost status and processing status to determine the cost assessment status and processing production status corresponding to the metal furniture, thereby realizing local digital data processing of different dimensions of metal furniture, and can also provide reliable regulatory analysis data support in different dimensions for the subsequent optimization management of the same type of metal furniture.

[0038] The present invention integrates and calculates the supervision and analysis results of different dimensions of metal furniture processing and production in the early stage to obtain the corresponding production validity, performs data analysis on the production validity to determine the production status corresponding to the metal furniture produced and processed and implements targeted abnormal data statistics, and further integrates and calculates all abnormal data of the abnormal cost dimension and the abnormal processing dimension to digitally process and analyze the abnormal status corresponding to the abnormal dimension. According to the analysis results, targeted optimization management can be implemented for the production steps of different dimensions of subsequent production and processing of metal furniture, thereby improving the local supervision and analysis effect of the metal furniture production link and the overall mining and expansion management effect. BRIEF DESCRIPTION OF THE DRAWINGS

[0039] The present invention will be further described below with reference to the accompanying drawings.

[0040] Figure 1 This is a module block diagram of the cloud computing-based data analysis and optimization system for metal furniture production.

[0041] Figure 2 This is a block diagram of the steps for implementing the cloud computing-based data analysis and optimization system for metal furniture production.

[0042] Figure 3 This is a flowchart of the data analysis in the present invention for determining the corresponding processing and production status of the metal furniture. DETAILED DESCRIPTION

[0043] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. 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 making creative efforts are within the scope of protection of the present invention.

[0044] like Figures 1 to 2 As shown, the present invention is a data analysis and optimization system for metal furniture production based on cloud computing, including a metal furniture production cost data monitoring and processing module, a metal furniture production and processing data monitoring and processing module, and a metal furniture production and processing multi-dimensional evaluation and optimization module;

[0045] The metal furniture production cost data monitoring and processing module is used to monitor and compile data on the metal furniture to be produced from the cost dimension, and to digitally process and combine the monitoring and statistical data of the cost dimension to obtain a cost supervision processing sequence; it includes:

[0046] Obtain the production dimensions of the metal furniture to be produced corresponding to different assembly structures, and number and mark the different production dimensions;

[0047] It should be noted that metal furniture specifically includes but is not limited to metal dining tables, metal dining chairs, metal bed frames, metal bedside tables, metal wardrobes, etc.; different assembly structures include table legs, table tops, etc.; production dimensions include the length, width, height and weight of the assembly structure; numbering and marking can be implemented according to existing production rules;

[0048] Obtaining the contact surfaces between different assembly structures and their corresponding welding areas;

[0049] Obtain the surface treatment area required for different assembly structures; surface treatment includes but is not limited to polishing, brushing, sandblasting, spraying, and electroplating;

[0050] All assembly structures monitored and counted for metal furniture to be produced, as well as the corresponding assembly structure production dimensions, all welding areas, and all processing areas are sorted and combined to obtain monitoring statistical data;

[0051] In the embodiment of the present invention, by monitoring and collecting statistics on various data of the cost dimension, reliable data support can be provided for subsequent data processing, calculation and analysis of the cost dimension;

[0052] When digitally processing the monitoring statistical data corresponding to the metal furniture to be produced, all contact surfaces i between different assembly structures and all corresponding welding areas SHi are obtained; i = 1, 2, 3, ..., n, where n is a positive integer; and the welding cost assessment value HPc corresponding to the metal furniture to be produced is calculated using the formula HPc = JH × SHi; where JH is the welding cost per unit welding area, which is determined based on the historical welding data of the same type of metal furniture;

[0053] Furthermore, all surfaces j requiring surface treatment for different assembly structures and their corresponding treatment areas SCj are obtained; j = 1, 2, 3, ..., m; m is a positive integer; and the treatment cost assessment value CPc corresponding to the metal furniture to be produced is calculated using the formula CPc = JC × SCj; where JC is the treatment cost per unit treatment area, determined based on historical treatment data of the same type of metal furniture;

[0054] The calculated welding cost assessment value and processing cost assessment value are passed through The production cost status CZ is calculated using the following formula; where GC is the fixed cost of the metal furniture to be produced, including assembly structure costs and labor costs. The labor costs are determined based on the total processing time of the metal furniture and the specific unit price of labor. A is the standard production cost of the metal furniture to be produced, which is determined based on the median of all production cost data of the same type of metal furniture in the past. is the rounding function;

[0055] It should be noted that the production cost status is used to integrate and calculate various cost data from different aspects of the cost dimension to digitally represent the cost assessment status of metal furniture production. The larger the production cost status, the worse the cost assessment status of the metal furniture.

[0056] Conduct data analysis on the production cost status to determine the cost assessment status of the corresponding cost dimension of the metal furniture to be produced;

[0057] If the production cost status is 0, a normal evaluation instruction is generated and the metal furniture to be produced is marked as the first normal production furniture;

[0058] If the production cost status is not 0, an evaluation exception instruction is generated and the metal furniture to be produced is marked as the first abnormal production furniture;

[0059] Sort and combine the calculated welding cost assessment value, processing cost assessment value, production cost status, and the first normally produced furniture or the first abnormally produced furniture with corresponding marks to obtain a cost supervision processing sequence corresponding to the metal furniture to be produced;

[0060] In the embodiment of the present invention, by monitoring and statistically analyzing various cost data of different aspects of the cost dimension and performing digital processing and calculation, and performing data analysis on the calculated production cost status to determine the corresponding cost assessment status of the metal furniture, digital data processing of the cost dimension of metal furniture is achieved, and reliable cost dimension data support can also be provided for subsequent optimization management of the same type of metal furniture.

[0061] The metal furniture production and processing data monitoring and processing module is used to monitor and collect data from the processing dimension of the entire metal furniture production process, and digitally process and combine the monitoring and statistical data of the processing dimension to obtain a processing supervision and processing sequence; it includes:

[0062] Obtain all waste generated during the entire metal furniture processing process and its corresponding waste weight ZF;

[0063] Furthermore, the corresponding processing duration Tc is calculated based on the time point at which the metal furniture processing starts and ends; the units of different time points and processing durations are accurate to minutes;

[0064] The obtained waste weight and processing duration are calculated by the formula Calculate the processing state JZ corresponding to the metal furniture processing production; where ZC is the unit weight cost of the metal furniture; B is the standard value of the discard cost; and Tc´ is the standard processing duration corresponding to the metal furniture processing. The unit weight cost of metal furniture, the standard value of the discard cost, and the standard processing duration can all be determined based on historical processing production data for the same type of metal furniture.

[0065] It should be noted that the processing status degree is used to integrate and calculate various processing data of different aspects of metal furniture processing and production to digitally represent the processing and production status of metal furniture production. The greater the processing status degree, the worse the processing and production status of the metal furniture.

[0066] Perform data analysis on the processing status to determine the processing and production status of the corresponding processing dimension of the metal furniture to be produced;

[0067] If the processing status is 0, a normal processing instruction is generated and the processed metal furniture is marked as the second normal production furniture;

[0068] If the processing status is not 0, a processing abnormal instruction is generated and the metal furniture corresponding to the processing production is marked as the second abnormal production furniture;

[0069] Sort and combine the calculated processing status and the corresponding marked second normal production furniture or second abnormal production furniture to obtain a processing supervision processing sequence corresponding to the production of metal furniture;

[0070] In the embodiment of the present invention, by monitoring and statistically analyzing various processing data of different aspects of the processing dimensions and performing digital processing calculations, and performing data analysis on the calculated processing status to determine the corresponding processing and production status of the metal furniture, digital data processing of the processing dimensions of metal furniture is achieved. This can also provide reliable processing dimension data support for subsequent optimization management of the same type of metal furniture, thereby increasing the diversity of metal furniture production supervision.

[0071] The multi-dimensional evaluation and optimization module for metal furniture production and processing is used to integrate and calculate the cost supervision processing sequence and processing supervision processing sequence obtained from the different dimensions of metal furniture processing and production, determine the corresponding production status of the metal furniture, perform reliability analysis on the local status of all processed and produced metal furniture of the same type in different dimensions, and adaptively implement targeted optimization management for the production links of different dimensions of this type of metal furniture based on the analysis results; it includes:

[0072] like Figure 3 As shown in the figure, the cost supervision processing sequence and processing supervision processing sequence obtained from different dimensions of metal furniture processing production are obtained, and the cost supervision processing sequence and processing supervision processing sequence are traversed to obtain the production cost status and processing status respectively, and the formula is used to obtain the cost supervision processing sequence and processing supervision processing sequence. Calculate and obtain the production validity SX of the corresponding processing and production of the metal furniture; where K is the maximum value corresponding to the production cost status degree and the processing status degree when they are not 0;

[0073] It should be noted that production validity is used to integrate and calculate various data monitored and processed in different dimensions of metal furniture processing and production to digitally represent its production status;

[0074] When determining the production status of the corresponding processing and production of the metal furniture according to the production validity, perform data analysis on the production validity;

[0075] If the production validity is 0, the production status of metal furniture processing and production is normal and a prompt is generated;

[0076] If the production validity is 1, a slight abnormality in the production status of metal furniture processing and production is generated and prompted, and the total number of abnormalities in the cost dimension corresponding to the metal furniture is increased by one or the total number of abnormalities in the processing dimension is increased by one;

[0077] If the production validity is 2, a severe production status abnormality is generated for metal furniture processing and a prompt is given. At the same time, the total number of cost dimension abnormalities and the total number of processing dimension abnormalities corresponding to the metal furniture are increased by one. The increase in the total number of cost dimension abnormalities and the total number of processing dimension abnormalities can be determined based on the conditions CZ+JZ<K or CZ+JZ=K.

[0078] Count the total number of cost dimension anomalies N1 and processing dimension anomalies N2 corresponding to all processed and produced metal furniture of the same type, and use the formula Calculate and obtain the local reliability JKk corresponding to different dimensions respectively; where k = 1, 2; JKk is JK1 and JK2, which are the local reliability of the cost dimension and the local reliability of the processing dimension of the same type of metal furniture respectively; Nk is N1 and N2; Ck is C1 and C2, which are the local reliability standard values ​​of the cost dimension and the local reliability standard values ​​of the processing dimension of the same type of metal furniture respectively. It can be determined based on the production design requirement data of the corresponding type of metal furniture, or based on the median value of all historical local reliability values ​​of the corresponding type of metal furniture in different dimensions; N is the total number of metal furniture produced by the same type of processing;

[0079] It should be noted that local reliability is used to integrate and calculate all abnormal data of the abnormal cost dimension and abnormal processing dimension obtained in the previous analysis to digitally represent the abnormal state corresponding to the abnormal dimension;

[0080] In addition, the data processing and computational analysis of monitoring statistics in different dimensions in the embodiments of the present invention can be uploaded to the cloud and implemented based on cloud data services;

[0081] When implementing targeted optimization management for the production links of different dimensions of metal furniture, the local reliability corresponding to different dimensions is analyzed. If the local reliability is less than or equal to 0, the corresponding dimension is associated with the local reliability state;

[0082] If the local reliability is greater than 0, the dimension to which it belongs will be associated with a local unreliable state, and targeted optimization management will be implemented for the subsequent production steps of the dimension to which it belongs; including but not limited to optimization management of welding steps, surface treatment steps, cutting steps and other steps. The specific content of the optimization management can be customized according to the actual application requirements of the actual application scenario.

[0083] In an embodiment of the present invention, the supervision and analysis results of different dimensions of the early metal furniture processing and production are integrated and calculated to obtain the corresponding production validity, data analysis is performed on the production validity to determine the production status corresponding to the metal furniture produced and processed, and targeted abnormal data statistics are implemented, and further all abnormal data of the abnormal cost dimension and the abnormal processing dimension are integrated and calculated to digitally process and analyze the abnormal status corresponding to the abnormal dimension. According to the analysis results, targeted optimization management can be implemented for the production steps of different dimensions of subsequent production and processing of metal furniture, thereby improving the local supervision and analysis effect of the metal furniture production link and the overall mining and expansion management effect.

[0084] In addition, the formulas involved in the above are all calculated by removing dimensions and taking their numerical values. They are a formula that is closest to the actual situation obtained by collecting a large amount of data and simulating it through simulation software.

[0085] In the several embodiments provided by the present invention, it should be understood that the disclosed system can be implemented in other ways. For example, the embodiments of the invention described above are merely illustrative. For example, the division of modules is only a logical function division, and other division methods may be used in actual implementation.

[0086] Modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, and may be located in one place or distributed across multiple network modules. Some or all of these modules may be selected to achieve the objectives of this embodiment based on actual needs.

[0087] In addition, the functional modules in various embodiments of the present invention may be integrated into a single processing module, each module may exist physically separately, or two or more modules may be integrated into a single module. The aforementioned integrated modules may be implemented in the form of hardware or hardware plus software functional modules.

[0088] It is obvious to a person skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, but that the present invention can be implemented in other specific forms without departing from the essential characteristics of the present invention.

[0089] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention may be modified or replaced by equivalents without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A data analysis and optimization system for metal furniture production based on cloud computing, characterized by: include: The metal furniture production cost data monitoring and processing module is used to monitor and count the data of the metal furniture to be produced from the cost dimension, and to digitally process and combine the monitoring and statistical data of the cost dimension to obtain a cost supervision processing sequence; The metal furniture production and processing data monitoring and processing module is used to monitor and collect data from the processing dimension on the entire process of metal furniture production and processing, and to digitally process and combine the monitoring and statistical data from the processing dimension to obtain a processing supervision and processing sequence; The multi-dimensional evaluation and optimization module for metal furniture production and processing is used to integrate and calculate the cost supervision processing sequence and processing supervision processing sequence obtained from the processing of different dimensions of metal furniture production and processing, determine the corresponding production status of the corresponding metal furniture, and conduct reliability analysis on the local status of different dimensions of all processed and produced metal furniture of the same type, and implement targeted optimization management of the production links of different dimensions of this type of metal furniture adaptively based on the analysis results; Among them, the cost supervision processing sequence and processing supervision processing sequence obtained from different dimensions of metal furniture processing production are obtained, and the cost supervision processing sequence and processing supervision processing sequence are traversed to obtain the production cost status and processing status, and the formula is used to obtain the production cost status and processing status. Calculate and obtain the production validity SX of the corresponding processing and production of the metal furniture; where CZ and JZ are the production cost status and processing status of the metal furniture processing and production respectively; K is the maximum value of the corresponding values ​​when the production cost status is not 0 and the processing status is not 0; When determining the production status of the corresponding processing and production of the metal furniture according to the production validity, the data analysis of the production validity is carried out; If the production validity is 0, the production status of metal furniture processing and production is normal and a prompt is generated; If the production validity is 1, a slight abnormality in the production status of metal furniture processing and production is generated and prompted, and the total number of abnormalities in the cost dimension corresponding to the metal furniture is increased by one or the total number of abnormalities in the processing dimension is increased by one; If the production validity is 2, a severe abnormality in the production status of metal furniture processing and production will be generated and prompted, and the total number of abnormalities in the cost dimension and the total number of abnormalities in the processing dimension corresponding to the metal furniture will be increased by one; Count the total number of cost dimension anomalies N1 and processing dimension anomalies N2 corresponding to all processed and produced metal furniture of the same type, and use the formula Calculate and obtain the local reliability JKk corresponding to different dimensions respectively; where k=1, 2; JKk is JK1 and JK2, which are the local reliability of the cost dimension and the local reliability of the processing dimension of the same type of metal furniture respectively; Nk is N1 and N2; Ck is C1 and C2, which are the local reliability standard values ​​of the cost dimension and the local reliability standard values ​​of the processing dimension of the same type of metal furniture respectively; N is the total number of metal furniture produced by the same type of processing; When implementing targeted optimization management for the production links of different dimensions of metal furniture, the local reliability corresponding to different dimensions is analyzed. If the local reliability is less than or equal to 0, the corresponding dimension is associated with the local reliability state; If the local reliability is greater than 0, the dimension to which it belongs will be associated with a local unreliable state, and targeted optimization management will be implemented for the subsequent production steps of the dimension to which it belongs.

2. The cloud computing-based metal furniture production data analysis and optimization system according to claim 1 is characterized in that: Obtain production dimensions of metal furniture to be produced corresponding to different assembly structures, and number and mark different production dimensions; Obtaining the contact surfaces between different assembly structures and their corresponding welding areas; Obtain the processing area that needs to be surface treated for different assembly structures; All assembly structures monitored and counted for the metal furniture to be produced and the corresponding assembly structure production dimensions, all welding areas, and all processing areas are sorted and combined to obtain monitoring statistical data.

3. The cloud computing-based metal furniture production data analysis and optimization system according to claim 2 is characterized in that: When the monitoring statistical data corresponding to the metal furniture to be produced are digitally processed, all contact surfaces i between different assembly structures and all corresponding welding areas SHi are obtained; i=1, 2, 3, ..., n; n is a positive integer; and the welding cost assessment value HPc corresponding to the metal furniture to be produced is calculated by the formula HPc=JH×SHi; where JH is the welding cost per unit welding area; And, obtaining all surfaces j that need to be surface treated for different assembly structures and all corresponding treatment areas SCj; j=1, 2, 3, ..., m; m is a positive integer; and the processing cost assessment value CPc corresponding to the metal furniture to be produced is calculated by the formula CPc=JC×SCj; wherein JC is the processing cost per unit processing area.

4. The cloud computing-based metal furniture production data analysis and optimization system according to claim 3 is characterized in that: The calculated welding cost assessment value and processing cost assessment value are passed through The production cost state degree CZ is obtained by formula calculation; in the formula, GC is the fixed cost corresponding to the metal furniture to be produced; A is the standard production cost corresponding to the metal furniture to be produced; [] is the rounding function; Perform data analysis on the production cost status to determine the cost assessment status of the corresponding cost dimension of the metal furniture to be produced and mark it, so as to obtain the first normal production furniture or the first abnormal production furniture; The calculated welding cost assessment value, processing cost assessment value, production cost status and the first normally produced furniture or the first abnormally produced furniture with corresponding marks are sorted and combined to obtain a cost supervision and processing sequence corresponding to the metal furniture to be produced.

5. The cloud computing-based metal furniture production data analysis and optimization system according to claim 4 is characterized in that: Obtain all waste generated during the entire process of metal furniture processing and its corresponding waste weight ZF; And, according to the time point when the metal furniture processing starts and the time point when the processing ends, the corresponding processing duration Tc is calculated; The obtained waste weight and processing duration are calculated by the formula Calculate and obtain the processing state degree JZ corresponding to the metal furniture processing and production; where ZC is the unit weight cost of metal furniture; B is the standard value of the waste cost; Tc´ is the standard duration of processing corresponding to the processing of metal furniture.

6. The cloud computing-based metal furniture production data analysis and optimization system according to claim 5 is characterized in that: Perform data analysis on the processing status to determine the processing status of the corresponding processing dimension of the metal furniture to be produced and mark it to obtain the second normal production furniture or the second abnormal production furniture; The calculated processing status degrees and the corresponding marked second normal production furniture or second abnormal production furniture are sorted and combined to obtain the processing supervision and processing sequence corresponding to the production of metal furniture.

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