Household automatic production control system

Abstract

The invention relates to the technical field of automation and intelligent production, in particular to a home automation production control system, which comprises an order processing module, a production management module, a quality monitoring module and a user feedback module, and is characterized in that the order processing module is used for decomposing home products in user order information data into a plurality of processing steps and assembling steps; the ordering module is used for ordering the order tasks; the production management module is used for establishing model data of each component; the model printing module is used for performing model printing and processing treatment on each part; the track planning module is used for planning the grabbing, carrying and assembling tracks of the robot in the production line; the quality monitoring module is used for calculating a product quality index; comparing the product quality index with a preset product quality index qualified threshold value; the early warning module is used for giving out early warning when the product quality is determined to be unqualified; and the user feedback module is used for optimizing the quality control of different products according to the user scores, so that the production process is optimized, and the home production efficiency is improved.

Description

Technical Field

[0001] The present invention relates to the field of automation and intelligent production technology, and in particular to a home automation production control system. Background Art

[0002] With the rapid development of the modern home furnishing industry, consumers' demands for home furnishing products are becoming increasingly diversified and personalized, which puts higher requirements on the production efficiency, quality control and user experience of home furnishing products. The traditional home furnishing production method has many shortcomings and it is difficult to meet the urgent needs of the current market. The traditional home furnishing production method is often inefficient in order processing. Due to the lack of effective information means, the input, processing and transmission of order information are cumbersome and error-prone, resulting in a long order processing cycle and difficulty in meeting the rapidly changing market needs. The traditional method lacks scientific basis for the sorting and allocation of order tasks, which often leads to uneven load on the production line and low production efficiency. The traditional home furnishing production method lacks automation and intelligent support. The model establishment, printing and processing of components often rely on manual operation, which is not only inefficient, but also difficult to ensure the consistency and quality stability of products. The planning and optimization of production lines also lack scientific methods, resulting in waste of resources and rising production costs. Quality monitoring is an indispensable part of the home furnishing production process. The traditional method often relies on manual sampling for quality monitoring, which is not only inefficient, but also difficult to fully cover all products. The quality assessment standards and methods also lack uniformity and scientificity, resulting in uneven product quality and difficulty in winning the trust and recognition of consumers. User feedback is crucial to the improvement and optimization of home products. However, traditional methods often lag behind and are one-sided in the collection and analysis of user feedback. It is difficult for consumers to provide feedback on product production efficiency, user experience, etc. to the production end in a timely and comprehensive manner, resulting in a lack of pertinence and effectiveness in product improvement and optimization.

[0003] Therefore, a home automation production control system is proposed. Summary of the invention

[0004] The present invention aims to solve the problems of low efficiency and high error rate in order processing of existing home automatic production systems, lack of automation and intelligence in production management, and product quality inspection often relying on manual sampling, which is not only inefficient but also difficult to comprehensively cover all products, resulting in backward quality monitoring methods and inconsistent evaluation standards. Traditional methods often lag and are one-sided in the collection and analysis of user feedback.

[0005] The technical solution adopted by the present invention to solve its technical problem is:

[0006] A home automation production control system includes an order processing module, a production management module, a quality monitoring module and a user feedback module.

[0007] The order processing module is used to sort order tasks;

[0008] The production management module is used to print and process the models of each component;

[0009] The quality monitoring module is used to issue an early warning when the product quality is detected to be unqualified;

[0010] The user feedback module is used to optimize the quality control of different products based on their ratings.

[0011] Furthermore, the order processing module includes an order information receiving module, an order task conversion module and an order task sorting module.

[0012] The order information receiving module is used to collect the user order information entered by the system, and then transmit the user order information data to the order task conversion module;

[0013] The order task conversion module is used to decompose the home products in the user order information data into a plurality of processing steps and assembly steps according to the specifications of the home products in the user order information data and the preset manufacturing process after receiving the user order information data, and then transmit the decomposed plurality of processing step data and assembly step data to the order task sorting module;

[0014] The order task sorting module is used to sort the order tasks according to the processing step data and assembly step data and the preset required production time, available production time and product order time limit for each product after receiving the processing step data and assembly step data.

[0015] Furthermore, the order tasks are sorted according to a number of processing step data and assembly step data as well as the preset required production time, available production time, and order time limit for each product as follows:

[0016]

[0017] Among them, Or is the sorting number, α 1 and α 2 and α 3 and α 4 is the weight coefficient, and α 1 +α 2 +α 3 +α 4 =1,P i A is the data of several processing steps for each product. i For each product assembly step data, Ti is the production time required for each product, in units of h, n is the number of products, T all is the spare production time, in h, D i = is the product order time limit, its unit is day, and it is sorted according to the calculated sort number.

[0018] Further, the production management module includes a model data establishment module and a modeling module;

[0019] The model data establishment module is used to establish the model data of each component according to the processing step sequence in the processing step data after receiving the processing step data, and then transmit the model data of each component and the processing step data to the modeling module;

[0020] The modeling module is used to control the printing device to print each component after receiving the model data of each component, and then assemble it manually.

[0021] Furthermore, the quality monitoring module includes an image acquisition module, an abnormal point capture module, a quality index calculation unit, and a quality assessment module.

[0022] The image acquisition module is used to collect image data of the completed household products, and then transmit the collected image data to the abnormal point capture module;

[0023] The abnormal point capture module is used to analyze the surface irregularity area, color difference area and appearance similarity of the household products in the image data according to the preset standard image data after receiving the image data, and then transmit the analyzed surface irregularity area data, color difference area data and appearance similarity data to the quality index calculation unit;

[0024] The quality index calculation unit is used to calculate the product quality index according to the surface irregularity area data, the color difference area data and the appearance similarity data, the preset maximum value of the irregular area, the maximum value of the color difference area and the overall area of ​​the product after receiving the surface irregularity area data, the color difference area data and the appearance similarity data, and then transmit the product quality index to the quality evaluation module;

[0025] The quality assessment module is used to assess the product quality according to the product quality index and the preset product quality index qualified threshold after receiving the product quality index; and is used to generate an early warning signal when determining that the product quality is unqualified, and then transmit the early warning signal to the early warning module;

[0026] The warning module is used to display warning information after receiving the warning signal.

[0027] Furthermore, the formula for calculating the quality index is:

[0028]

[0029] Among them, PQI is the product quality index, ω 1 and ω 2 and ω 3 is the weight coefficient, and ω 1 +ω 2 +ω 3 =1, S irr is the surface irregularity area data, its unit is cm 2 , S total The overall area of ​​the product, in cm 2 , is the maximum value of the surface irregularity area, in cm 2 , S cd It is the color difference area data, and its unit is cm 2 , is the maximum color difference area, its unit is cm 2 , S i It is the appearance similarity data.

[0030] Furthermore, the method of evaluating product quality according to the product quality index and the preset product quality index qualification threshold is as follows:

[0031]

[0032] Among them, PQI is the product quality index, PQI max is the maximum value of the product quality index, and PQI max >0.6, when the output result is Ⅰ, the product quality is excellent, when the output result is Ⅱ, the product quality is good, when the output result is Ⅲ, the product quality is unqualified.

[0033] Furthermore, the user feedback module includes a user opinion collection module, an opinion analysis module and an optimization and adjustment module.

[0034] The opinion collection module is used to collect users' scores on the production efficiency and product experience of different products, and then transmit the collected production efficiency scores and product experience scores of different products to the opinion analysis module and the optimization and adjustment module respectively;

[0035] The opinion analysis module is used to calculate the comprehensive user scores of different products according to the production efficiency score data and product use experience score data of different products after receiving the production efficiency score data and product use experience score data of different products; and then transmit the calculated comprehensive user score data of different products to the optimization and adjustment module;

[0036] The optimization and adjustment module is used to compare the comprehensive user rating data of different products with the preset standard product user ratings after receiving the comprehensive user rating data of different products, the production efficiency ratings of different products and the product usage experience ratings; and is used to optimize the order time limits of different products and the qualified thresholds of different product quality indexes according to the production efficiency ratings of different products, the product usage experience ratings and the preset production efficiency rating standard thresholds and product usage experience rating standard thresholds of different products when the comprehensive user rating data of different products are lower than the preset standard product user ratings.

[0037] Furthermore, the calculation method of the comprehensive user rating of different products is:

[0038]

[0039] Among them, SC z is the comprehensive user rating of the z-th type of product, w 1 and w 2 is the weight coefficient, and w 1 +w 2 =1, is the production efficiency score data of the i-th product of the z-th product, is the product usage experience rating data of the i-th product of the z-th product, and x is the number of reviews.

[0040] Furthermore, the method of optimizing the order time limit of different products and the qualified threshold of different product quality indexes according to the production efficiency scores, product use experience scores and preset production efficiency score standard thresholds and product use experience score standard thresholds of different products is as follows:

[0041]

[0042] in, is the production efficiency score data of the i-th product of the z-th product, is the product experience rating data of the i-th product of the z-th product, x is the number of reviews, and D z is the order time limit for the zth product, in days, is the maximum value of the product quality index of the zth product, and

[0043] Beneficial effects of the present invention:

[0044] 1. The order processing module realizes the rapid entry, accurate processing and efficient transmission of user order information. The order information is automatically decomposed into specific processing steps and assembly steps, and intelligently sorted according to the required production time, spare capacity and order time limit, thus significantly improving the efficiency and accuracy of order processing.

[0045] 2. The production management module realizes the automatic establishment of component model data, intelligent control of 3D printing and processing, and precise planning of robot grabbing, handling and assembly tracks in the production line. This not only improves production efficiency, but also ensures product consistency and quality stability, and reduces the error rate and cost of manual operation.

[0046] 3. The quality monitoring module can monitor and analyze key indicators of household products in real time, such as surface irregularity area, color difference area and appearance similarity. The system also calculates the product quality index according to the preset standards and weight coefficients, and compares it with the preset product quality index qualified threshold, thus achieving scientific evaluation and early warning of product quality.

[0047] 4. The user feedback module can calculate the comprehensive user rating based on the rating data of different products, and optimize and adjust the quality control according to the rating results. It not only improves the timeliness and comprehensiveness of user feedback, but also provides strong data support for product improvement and optimization. BRIEF DESCRIPTION OF THE DRAWINGS

[0048] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0049] In the attached picture:

[0050] Figure 1 It is a schematic diagram of the system module composition of the present invention. DETAILED DESCRIPTION

[0051] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

[0052] See also Figure 1 ,

[0053] A home automation production control system includes an order processing module, a production management module, a quality monitoring module and a user feedback module.

[0054] The order processing module is used to sort order tasks, and the order processing module is a mobile terminal;

[0055] The production management module is used to print and process the models of each component;

[0056] The quality monitoring module is used to issue an early warning when the product quality is detected to be unqualified;

[0057] The user feedback module is used to optimize the quality control of different products according to the ratings of different products. The user feedback module is a mobile terminal.

[0058] In this embodiment, the order processing module includes an order information receiving module, an order task conversion module and an order task sorting module.

[0059] The order information receiving module is used to collect the user order information entered by the system, and then transmit the user order information data to the order task conversion module;

[0060] The order task conversion module is used to decompose the home products in the user order information data into a plurality of processing steps and assembly steps according to the specifications of the home products in the user order information data and the preset manufacturing process after receiving the user order information data, and then transmit the decomposed plurality of processing step data and assembly step data to the order task sorting module;

[0061] The order task sorting module is used to sort the order tasks according to the processing step data and assembly step data and the preset required production time, available production time and product order time limit for each product after receiving the processing step data and assembly step data. By comprehensively considering the required production time, available production time and order time limit of the product, the order tasks are intelligently sorted to ensure the rationality and efficiency of the production plan, and the user's order information data is converted into specific processing steps and assembly steps, which improves the accuracy and operability of order processing and reduces misunderstandings and delays in the production process.

[0062] In this embodiment, the order tasks are sorted according to a number of processing step data and assembly step data as well as the preset required production time, available production time, and order time limit for each product as follows:

[0063]

[0064] Among them, Or is the sorting number, α 1 and α 2 and α 3 and α 4 is the weight coefficient, and α 1 +α 2 +α 3 +α 4 =1,P i A is the data of several processing steps for each product. iFor each product assembly step data, T i is the production time required for each product, in units of h, n is the number of products, T all is the spare production time, in h, D i = is the product order time limit, its unit is day, and it is sorted according to the calculated sort number.

[0065] For example, when P i =8, A i =12, n=3, T all =30, T 1 =4, T 2 =6, T 3 =5,α 1 =0.2,α 2 =0.3,α 3 =0.3,α 4 =0.1, D i =8 days, the calculated sort number is 1.29. Comparing the calculated sort numbers, within the same batch of orders, the smaller the sort number, the higher the priority.

[0066] In this embodiment, the production management module includes a model data building module and a modeling module;

[0067] The model data establishment module is used to establish the model data of each component according to the processing step sequence in the processing step data after receiving the processing step data, and then transmit the model data of each component and the processing step data to the modeling module, and the model data establishment module is a server;

[0068] The modeling module is used to control the printing equipment to print each component after receiving the model data of each component, and then assemble it manually. The modeling module is an industrial-grade 3D printer. The printer can realize fast and accurate printing of components. Combined with manual assembly, it improves production efficiency and reduces production costs. The model data of each component is established according to the processing step data, which provides precise guidance for subsequent printing and assembly, ensuring product consistency and quality stability.

[0069] In this embodiment, the quality monitoring module includes an image acquisition module, an abnormal point capture module, a quality index calculation unit, a quality assessment module and an early warning module.

[0070] The image acquisition module is used to collect the image data of the completed household products, and then transmit the collected image data to the abnormal point capture module. The image acquisition module is a camera;

[0071] The abnormal point capture module is used to analyze the surface irregularity area, color difference area and appearance similarity of the household products in the image data according to the preset standard image data after receiving the image data, and then transmit the analyzed surface irregularity area data, color difference area data and appearance similarity data to the quality index calculation unit. The abnormal point capture module is a graphics processor;

[0072] The quality index calculation unit is used to calculate the product quality index according to the surface irregularity area data, the color difference area data and the appearance similarity data, the preset maximum value of the irregular area, the maximum value of the color difference area and the overall area of ​​the product after receiving the surface irregularity area data, the color difference area data and the appearance similarity data, and then transmit the product quality index to the quality assessment module, and the quality index calculation unit is a processor;

[0073] The quality assessment module is used to assess the product quality according to the product quality index and the preset product quality index qualified threshold after receiving the product quality index; and is used to generate an early warning signal when determining that the product quality is unqualified, and then transmit the early warning signal to the early warning module. The quality assessment module is a processor;

[0074] The early warning module is used to display early warning information after receiving the early warning signal. The early warning module is an early warning device. It collects image data of household products in real time through the image acquisition module, discovers quality problems in time, and provides strong support for quality improvement. It calculates the product quality index based on multiple quality indicators and conducts scientific evaluation to ensure the compliance and stability of product quality and improve user satisfaction.

[0075] In this embodiment, the calculation formula for quality index calculation is:

[0076]

[0077] Among them, PQI is the product quality index, ω 1 and ω 2 and ω 3 is the weight coefficient, and ω 1 +ω 2 +ω 3 =1, S irr is the surface irregularity area data, its unit is cm 2 , S total The overall area of ​​the product, in cm 2 , is the maximum value of the surface irregularity area, in cm 2 , S cd It is the color difference area data, and its unit is cm 2 , is the maximum color difference area, its unit is cm 2 , Si It is the appearance similarity data.

[0078] For example, when S total =100cm 2 , S irr =15cm 2 , S cd =8cm 2 , S i =0.8,ω 1 =0.4,ω 2 =0.3,ω 3 When =0.3, the product quality index is calculated to be 0.63.

[0079] In this embodiment, the method of evaluating product quality according to the product quality index and the preset product quality index qualified threshold is:

[0080]

[0081] Among them, PQI is the product quality index, PQI max is the maximum value of the product quality index, and PQI max >0.6, when the output result is Ⅰ, the product quality is excellent, when the output result is Ⅱ, the product quality is good, when the output result is Ⅲ, the product quality is unqualified.

[0082] For example, when PQI=0.63, and PQI max =1, then the product quality is good.

[0083] In this embodiment, the user feedback module includes a user opinion collection module, an opinion analysis module and an optimization and adjustment module.

[0084] The opinion collection module is used to collect users' scores on the production efficiency and product experience of different products, and then transmit the collected production efficiency scores and product experience scores of different products to the opinion analysis module and the optimization and adjustment module respectively;

[0085] The opinion analysis module is used to calculate the comprehensive user scores of different products according to the production efficiency score data and product use experience score data of different products after receiving the production efficiency score data and product use experience score data of different products; and then transmit the calculated comprehensive user score data of different products to the optimization and adjustment module;

[0086] The optimization and adjustment module is used to compare the comprehensive user rating data of different products with the preset standard product user ratings after receiving the comprehensive user rating data of different products, the production efficiency ratings of different products and the product usage experience ratings; and is used to optimize the order time limits of different products and the qualified thresholds of the quality index of different products according to the production efficiency ratings of different products, the product usage experience ratings and the preset production efficiency rating standard thresholds and product usage experience rating standard thresholds of different products when the comprehensive user rating data of different products are lower than the preset standard product user ratings. It can collect users' ratings of the production efficiency and usage experience of different products, provide valuable user opinions for product improvement and optimization, optimize and adjust the product order time limits and the qualified thresholds of the quality index according to the user ratings and the preset rating standard thresholds, thereby improving the market competitiveness and user satisfaction of the products and promoting continuous improvement and innovation of the products.

[0087] In this embodiment, the comprehensive user ratings of different products are calculated as follows:

[0088]

[0089] Among them, SC z is the comprehensive user rating of the z-th type of product, w 1 and w 2 is the weight coefficient, and w 1 +w 2 =1, is the production efficiency score data of the i-th product of the z-th product, is the product usage experience rating data of the i-th product of the z-th product, and x is the number of reviews.

[0090] For example, when w 1 =0.5, w 2 When =0.5, the calculated comprehensive user rating of the z-th type of product is 2.6.

[0091] In this embodiment, the method of optimizing the order time limit of different products and the qualified threshold of different product quality indexes according to the production efficiency scores of different products, the product use experience scores and the preset production efficiency score standard thresholds of different products and the product use experience score standard thresholds is as follows:

[0092]

[0093] in, is the production efficiency score data of the i-th product of the z-th product, is the product experience rating data of the i-th product of the z-th product, x is the number of reviews, and D z is the order time limit for the zth product, in days, is the maximum value of the product quality index of the zth product, and

[0094] For example, when D z =8, When the order time limit for the zth product is optimized to 6 days through comparison.

[0095] In summary, this system significantly improves the efficiency, quality and market competitiveness of home furnishing production by integrating four core modules: order processing, production management, quality monitoring and user feedback. The order processing module realizes the accurate conversion and efficient sorting of orders, ensuring the rationality and timeliness of the production plan; the production management module realizes the intelligent and efficient production process with the help of automation technology and model data guidance; the quality monitoring module ensures the stability of product quality and user satisfaction through real-time monitoring and scientific evaluation; the user feedback module promotes continuous improvement and innovation of products by accurately collecting user opinions and optimizing adjustment strategies. This system not only reduces production costs and improves production efficiency, but also significantly enhances the market competitiveness of home furnishing products, providing strong technical support for the transformation, upgrading and sustainable development of the home furnishing industry.

[0096] The above contents are merely examples and explanations of the concept of the present application. The technical personnel in this technical field may make various modifications or additions to the described specific embodiments or replace them in a similar manner. As long as they do not deviate from the concept of the invention or exceed the scope defined in this specification, they should all fall within the scope of protection of the present application.

Claims

1. A home automation production control system, characterized in that: Including order processing module, production management module, quality monitoring module and user feedback module, The order processing module is used to sort order tasks; The production management module is used to print and process the model of each component; The quality monitoring module is used to issue an early warning when the product quality is detected to be unqualified; The user feedback module is used to optimize the quality control of different products according to the ratings of different products.

2. A home automation production control system according to claim 1, characterized in that: The order processing module includes an order information receiving module, an order task conversion module and an order task sorting module. The order information receiving module is used to collect user order information entered by the system, and then transmit the user order information data to the order task conversion module; The order task conversion module is used to decompose the household products in the user order information data into a plurality of processing steps and assembly steps according to the specifications of the household products in the user order information data and the preset manufacturing process after receiving the user order information data, and then transmit the decomposed plurality of processing step data and assembly step data to the order task sorting module; The order task sorting module is used to sort the order tasks according to the processing step data and assembly step data and the preset required production time, available production time and product order time limit for each product after receiving the processing step data and assembly step data.

3. A home automation production control system according to claim 2, characterized in that: The method of sorting order tasks according to a plurality of processing step data and assembly step data and the preset required production time, spare production time, and order time limit of each product is as follows: Among them, Or is the ranking number, α1, α2, α3, and α4 are weight coefficients, and α1+α2+α3+α4=1, P i A is the data of several processing steps for each product. i For each product assembly step data, T i is the production time required for each product, in units of h, n is the number of products, T all is the spare production time, in h, D i = is the product order time limit, its unit is day, and it is sorted according to the calculated sort number.

4. A home automation production control system according to claim 1, characterized in that: The production management module includes a model data building module and a modeling module; The model data establishment module is used to establish the model data of each component according to the processing step sequence in the processing step data after receiving the processing step data, and then transmit the model data of each component and the processing step data to the modeling module; The modeling module is used to control the printing device to print each component after receiving the model data of each component, and then assemble it manually.

5. A home automation production control system according to claim 1, characterized in that: The quality monitoring module includes an image acquisition module, an abnormal point capture module, a quality index calculation unit, and a quality assessment module. The image acquisition module is used to acquire image data of the completed household product, and then transmit the acquired image data to the abnormal point capture module; The abnormal point capture module is used to analyze the surface irregularity area, color difference area and appearance similarity of the household products in the image data according to the preset standard image data after receiving the image data, and then transmit the analyzed surface irregularity area data, color difference area data and appearance similarity data to the quality index calculation unit; The quality index calculation unit is used to calculate the product quality index according to the surface irregularity area data, the color difference area data and the appearance similarity data, as well as the preset maximum value of the irregular area, the maximum value of the color difference area and the overall area of ​​the product after receiving the surface irregularity area data, the color difference area data and the appearance similarity data, and then transmit the product quality index to the quality assessment module; The quality assessment module is used to assess the product quality according to the product quality index and a preset product quality index qualification threshold after receiving the product quality index; and is used to generate an early warning signal when it is determined that the product quality is unqualified, and then transmit the early warning signal to the early warning module; The warning module is used to display warning information after receiving the warning signal.

6. A home automation production control system according to claim 5, characterized in that: The calculation formula for the quality index is: Where PQI is the product quality index, ω1, ω2 and ω3 are weight coefficients, and ω1+ω2+ω3=1, S irr is the surface irregularity area data, its unit is cm 2 , S total The overall area of ​​the product, in cm 2 , is the maximum value of the surface irregularity area, in cm 2 , S cd It is the color difference area data, and its unit is cm 2 , is the maximum color difference area, its unit is cm 2 , S i It is the appearance similarity data.

7. A home automation production control system according to claim 6, characterized in that: The method of evaluating product quality based on the product quality index and the preset product quality index qualified threshold is: Among them, PQI is the product quality index, PQI max is the maximum value of the product quality index, and PQI max >0.6, when the output result is Ⅰ, the product quality is excellent, when the output result is Ⅱ, the product quality is good, when the output result is Ⅲ, the product quality is unqualified.

8. A home automation production control system according to claim 1, characterized in that: The user feedback module includes a user opinion collection module, an opinion analysis module and an optimization and adjustment module. The opinion collection module is used to collect users' scores on the production efficiency and product usage experience of different products, and then transmit the collected production efficiency scores and product usage experience scores of different products to the opinion analysis module and the optimization and adjustment module respectively; The opinion analysis module is used to calculate the comprehensive user scores of different products according to the production efficiency score data and product use experience score data of different products after receiving the production efficiency score data and product use experience score data of different products; and then transmit the calculated comprehensive user score data of different products to the optimization and adjustment module; The optimization and adjustment module is used to compare the comprehensive user rating data of different products with the preset standard product user rating after receiving the comprehensive user rating data of different products, the production efficiency ratings of different products and the product usage experience ratings; and is used to optimize the order time limits of different products and the qualified thresholds of different product quality indexes according to the production efficiency ratings of different products, the product usage experience ratings and the preset production efficiency rating standard thresholds and product usage experience rating standard thresholds of different products when the comprehensive user rating data of different products is lower than the preset standard product user rating.

9. A home automation production control system according to claim 8, characterized in that: The calculation method of the comprehensive user ratings of the different products is as follows: Among them, SC z is the comprehensive user rating of the z-th type of product, w1 and w2 are weight coefficients, and w1+w2=1, is the production efficiency score data of the i-th product of the z-th product, is the product usage experience rating data of the i-th product of the z-th product, and x is the number of reviews.

10. A home automation production control system according to claim 9, characterized in that: The method of optimizing the order time limit of different products and the qualified threshold of different product quality indexes according to the production efficiency scores of different products, the product use experience scores and the preset production efficiency score standard thresholds of different products and the product use experience score standard thresholds is as follows: in, is the production efficiency score data of the i-th product of the z-th product, is the product experience rating data of the i-th product of the z-th product, x is the number of reviews, and D z is the order time limit for the zth product, in days, is the maximum value of the product quality index of the zth product, and

Images