Intelligent production management system and method for building prefabricated parts based on 5G technology

Abstract

The invention belongs to the field of building prefabricated part management, and provides a building prefabricated part intelligent production management system and method based on the 5G technology, and the system comprises a data collection module which is used for collecting data in the production process and transmitting the data to a data processing module through a high-speed 5G network. The data processing module is used for receiving the original data from the data acquisition module and carrying out storage, standardization processing, clustering analysis and anomaly detection on the original data, and the production scheduling module is used for generating and adjusting a production plan according to the data analyzed by the data processing module and tracking the production schedule; by integrating a plurality of technical modules and utilizing a 5G communication technology, comprehensive intelligent management of building prefabricated part production is realized, and by combining with the data acquisition module, the system can comprehensively acquire key parameters such as temperature, humidity and pressure on a production line in real time.

Description

Technical Field

[0001] The present invention belongs to the field of prefabricated building component management, and specifically, is a 5G-based intelligent production management system and method for prefabricated building components. Background Art

[0002] With the rise of Industry 4.0 and smart manufacturing, the construction industry is undergoing a technological revolution. The traditional production method of prefabricated building components has many limitations, such as low production efficiency, unstable quality control, extensive equipment management, insufficient safety monitoring, etc. These problems restrict the further development of the construction industry, especially in the modern construction market that pursues high efficiency, high quality and low cost.

[0003] In the traditional production of prefabricated building components, data collection relies on manual records, and data processing and analysis lack automation and intelligence, resulting in inflexible and inaccurate production scheduling. In addition, quality control mainly relies on manual inspection, lacks a systematic monitoring and prediction mechanism, and causes large fluctuations in quality. In terms of equipment management, due to the lack of real-time monitoring and predictive maintenance, equipment failures occur frequently and maintenance costs are high. Safety monitoring also mainly relies on manual inspections, which cannot achieve real-time warnings and rapid responses.

[0004] To this end, those skilled in the art have proposed an intelligent production management system for prefabricated building components based on 5G technology and a method thereof to solve the problems raised by the background technology. Summary of the invention

[0005] In order to solve the above technical problems, the present invention provides an intelligent production management system for prefabricated building components based on 5G technology and a method thereof to solve the problems existing in the prior art.

[0006] A 5G-based intelligent production management system for building prefabricated components and a method thereof, comprising a data acquisition module for collecting data during the production process and transmitting the data to a data processing module via a high-speed 5G network;

[0007] The data processing module is used to receive the raw data from the data acquisition module and store, standardize, perform cluster analysis and anomaly detection on it;

[0008] The production scheduling module is used to generate and adjust the production plan and track the production progress according to the data analyzed by the data processing module;

[0009] Quality control module, used to monitor the quality of the production process, and conduct quality inspection and feedback through real-time data analysis;

[0010] Equipment management module, used to monitor the operating status of production equipment and realize predictive maintenance of equipment;

[0011] Safety monitoring module, used to monitor the production safety of the entire production process;

[0012] Intelligent decision-making module, used to make decisions based on data analysis results;

[0013] 5G communication module, used to achieve high-speed data transmission between modules within the system.

[0014] Preferably, the data acquisition module includes a sensor, which is used to collect temperature, humidity and pressure on the production line in real time. The acquisition module also includes an RFID reader, which performs data standardization processing according to the following formula: Among them, X norm represents the standardized data, X represents the original data, μ represents the mean value of the data, and σ represents the standard deviation of the data.

[0015] Preferably, the data processing module includes a data storage unit, which is used to store the collected data. The data processing module also includes a data analysis unit, which is used to perform cluster analysis on the collected data using the following formula: Among them, d ij represents the Euclidean distance between data points i and j, x ik and x jk Respectively represent the values ​​of data points i and j on the kth feature. The collected data is anomaly detected using the following formula Where A represents the abnormal sign, X represents the data point, μ represents the mean value of the data, σ represents the standard deviation of the data, and k represents the threshold coefficient.

[0016] Preferably, the production scheduling module includes a production plan generating unit for generating a production plan. The production plan generating unit is optimized using the following formula: max =max 1≤i≤n {c i}, where C max represents the maximum completion time, c i represents the completion time of the i-th task;

[0017] The production plan uses the following formula to calculate production efficiency:

[0018]

[0019] Among them, E eff represents production efficiency, t antual,i represents the actual completion time of the ith task, t planned,i represents the planned completion time of the i-th task;

[0020] The production scheduling module also includes a production progress tracking unit for tracking the production plan.

[0021] Preferably, the quality control module includes a quality detection unit for detecting production quality. The quality detection unit performs detection according to the following formula: Q represents the average quality score, q i represents the quality score of the i-th product. At the same time, the quality defect prediction during inspection can be adopted as follows: Q pred =f(X 1 ,X 2 ,...,X n ,), where Q pred represents the predicted quality defect, f represents the prediction model, X i represents the i-th factor affecting the quality. The quality control module also includes a quality feedback unit for providing timely feedback on the quality problems detected.

[0022] Preferably, the equipment management module includes an equipment status monitoring unit, and the equipment maintenance priority in the equipment status monitoring unit is sorted by the following formula: P represents the priority of equipment maintenance, M represents the number of equipment failures, and T represents the total equipment operation time. During equipment maintenance, the equipment maintenance cost evaluation in the equipment maintenance scheduling unit is carried out using the following formula: C maint =C fix +C labour +C parts , where C maint represents the total maintenance cost, C fix represents the repair cost, C labour represents labor cost, C parts Represents the cost of the part.

[0023] Preferably, the security monitoring module includes a behavior recognition unit, which is used to identify and process the behavior. The installation monitoring module also includes an early warning unit, and the security risk assessment in the early warning unit is performed by the following formula: Where R represents the security risk level, p i represents the probability of the occurrence of the i-th unsafe behavior, s i Indicates the severity of the i-th unsafe behavior. When evaluating, the security incident response time is evaluated using the following formula: T resp represents the average response time, t response,i Indicates the response time to the i-th security event.

[0024] Preferably, the intelligent decision-making module uses the following steps to perform decision analysis:

[0025] S1, using data acquisition module to obtain various key parameters on the production line, such as temperature, humidity, pressure and real-time status of prefabricated components;

[0026] S2, based on the collected data, analyzes the data, identifies production trends, predicts potential problems, and makes optimization suggestions accordingly.

[0027] A second aspect of the present application provides a method for intelligent production management of building prefabricated components based on 5G technology, comprising the following steps: S1: collecting production data through a data collection module;

[0028] S2: Process the collected data through the data processing module;

[0029] S3: Perform production scheduling based on the processed data through the production scheduling module;

[0030] S4: Monitor production quality through quality control module;

[0031] S5: Manage production equipment through the equipment management module;

[0032] S6: Monitor production safety through the safety monitoring module;

[0033] S7: Make decisions based on data analysis results through the intelligent decision-making module;

[0034] S8: Realize high-speed data transmission between modules within the system through 5G communication module.

[0035] Preferably, the intelligent decision-making module in step seven uses the following formula to make a decision: Where D represents the decision factor, represents the actual observed value, represents the expected value, and represents the number of observations.

[0036] Through the above technical solution,

[0037] Compared with the prior art, the present invention has the following beneficial effects:

[0038] The present invention realizes comprehensive intelligent management of prefabricated building component production by integrating multiple technical modules and utilizing 5G communication technology. By deploying sensors and RFID readers with high coverage and combining data acquisition modules, the system can collect key parameters such as temperature, humidity, and pressure on the production line in real time and comprehensively. The data fusion processing formula enables data from different sensors to be effectively integrated, providing more accurate and comprehensive data support, and solving the problem of data acquisition limitations in the background technology;

[0039] At the same time, through the data processing module set up, combined with advanced data analysis technology, it can automatically process and analyze the large amount of collected data, extract valuable information, and provide accurate support for production scheduling and decision-making. The anomaly detection formula further enhances the system's ability to identify production anomalies and improves the controllability and predictability of the production process. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1 is a system module block diagram of the present invention; DETAILED DESCRIPTION

[0041] The following embodiments of the present invention are described in further detail in conjunction with the accompanying drawings and examples. The following examples are used to illustrate the present invention, but are not intended to limit the scope of the present invention.

[0042] Embodiment 1: As shown in the attached Figure 1 As shown: The present invention provides a 5G-based intelligent production management system for building prefabricated components and a method thereof, including a data acquisition module for real-time acquisition of key parameters such as temperature, humidity, and pressure on the production line, and transmitting the data to a data processing module through a high-speed 5G network, which can not only monitor the environmental parameters on the production line in real time, such as temperature, humidity, and pressure, but also track the identification information of the prefabricated components to ensure that each product has a complete production history;

[0043] The data processing module is used to receive the raw data from the data acquisition module and store, standardize, cluster analyze and detect anomalies to extract valuable information. It is responsible for storing, cleaning, standardizing and cluster analyzing the large amount of raw data collected, and conducting in-depth analysis of the data by applying statistical and machine learning algorithms to identify patterns and trends in the production process;

[0044] The production scheduling module is used to generate and adjust the production plan based on the data analyzed by the data processing module, and track the production progress to optimize the production process;

[0045] The quality control module is used to monitor the quality of the production process, conduct quality inspection and feedback through real-time data analysis to ensure that product quality meets the standards;

[0046] Equipment management module, used to monitor the operating status of production equipment, implement predictive maintenance of equipment, reduce equipment failures, and extend equipment life;

[0047] The safety monitoring module is used to monitor the safety status of the production site in real time, and promptly detect and respond to potential safety risks through behavior recognition and early warning mechanisms;

[0048] Intelligent decision-making module, used to make intelligent decisions based on data analysis results, provide scientific decision-making support, and improve the accuracy and efficiency of decision-making;

[0049] The 5G communication module is used to achieve high-speed data transmission between modules within the system, ensure the real-time and accuracy of data, and support the stable operation of the system.

[0050] As can be seen from the above, the system integrates multiple key modules such as data collection, processing, production scheduling, quality control, equipment management, safety monitoring and intelligent decision-making. Through the collaborative work of these modules, the system can achieve real-time collection, efficient processing and intelligent analysis of production data, thereby optimizing production plans, improving production efficiency and product quality, and ensuring the safety of the production process. In addition, the system uses 5G communication technology to achieve high-speed data transmission between modules, ensuring the real-time and accuracy of information flow, and providing a comprehensive, efficient and intelligent management solution for the production of prefabricated building components.

[0051] Embodiment 2: As shown in the attached Figure 1 As shown: This embodiment is basically the same as the previous embodiment, except that the data acquisition module includes a sensor, which is used to collect temperature, humidity and pressure on the production line in real time. The acquisition module also includes an RFID reader, and the RFID reader performs data standardization processing through the following formula: Among them, X norm represents the standardized data, X represents the original data, μ represents the average value of the data, and σ represents the standard deviation of the data. The data acquisition module also includes a data fusion algorithm, which can effectively integrate the data from different sensors to improve the accuracy and reliability of the data, and convert the original data into a standard format that can be used for analysis through the data standardization processing formula.

[0052] Preferably, the data processing module includes a data storage unit, which is used to store the collected data. The data processing module also includes a data analysis unit, which is used to perform cluster analysis on the collected data using the following formula: Among them, d ij represents the Euclidean distance between data points i and j, x ik and x jk Respectively represent the values ​​of data points i and j on the kth feature. The collected data is anomaly detected using the following formula A represents the abnormal sign, X represents the data point, μ represents the average value of the data, σ represents the standard deviation of the data, and k represents the threshold coefficient. The data processing module also includes an abnormality detection mechanism, which can promptly detect abnormal situations in the production process and classify the data through the data clustering analysis formula, so as to identify problems and take countermeasures more quickly.

[0053] Furthermore, the production scheduling module includes a production plan generation unit for generating a production plan. The production plan generation unit is optimized using the following formula: max =max 1≤i≤n {c i}, where C max represents the maximum completion time, c i represents the completion time of the i-th task;

[0054] The following formula is used to calculate production efficiency in production planning:

[0055]

[0056] Among them, E eff represents production efficiency, t antual,i represents the actual completion time of the ith task, t planned,i represents the planned completion time of the i-th task;

[0057] The production scheduling module also includes a production progress tracking unit for tracking the production plan.

[0058] Specifically, the quality control module includes a quality detection unit for detecting production quality. The quality detection unit performs detection through the following formula: Q represents the average quality score, q i represents the quality score of the i-th product. At the same time, the quality defect prediction during inspection can be adopted as follows: Q pred =f(X 1 ,X 2 ,...,X n ,), where Q pred represents the predicted quality defect, f represents the prediction model, X i It represents the i-th factor affecting the quality. The quality control module also includes a quality feedback unit for providing timely feedback on the quality problems detected.

[0059] Preferably, the equipment management module includes an equipment status monitoring unit, and the equipment maintenance priority in the equipment status monitoring unit is sorted by the following formula: P represents the priority of equipment maintenance, M represents the number of equipment failures, and T represents the total equipment operation time. During equipment maintenance, the equipment maintenance cost evaluation in the equipment maintenance scheduling unit is carried out using the following formula: C maint =C fix +C labour +C parts , where C maint represents the total maintenance cost, C fix represents the repair cost, C labour represents labor cost, Cparts Represents the cost of the part.

[0060] Furthermore, the security monitoring module includes a behavior recognition unit, which is used to recognize and process the behavior. The installation monitoring module also includes an early warning unit. The security risk assessment in the early warning unit is performed by the following formula: Where R represents the security risk level, p i represents the probability of the occurrence of the i-th unsafe behavior, s i Indicates the severity of the i-th unsafe behavior. When evaluating, the security incident response time is evaluated using the following formula: T resp represents the average response time, t response,i Indicates the response time to the i-th security event.

[0061] Preferably, the intelligent decision-making module adopts the following steps to perform decision analysis: S1, collecting production data, using a data acquisition module to obtain various key parameters on the production line, such as temperature, humidity, pressure and real-time status of prefabricated components;

[0062] S2, analyzes and makes decisions based on the collected data. Based on the collected data, the intelligent decision-making module uses advanced data analysis technologies, such as machine learning and artificial intelligence algorithms, to conduct in-depth analysis of the data, identify production trends, predict potential problems, and make optimization suggestions accordingly.

[0063] Embodiment 3: The embodiment of the present application also provides a method for intelligent production management of building prefabricated components based on 5G technology, which is applied to the above-mentioned intelligent production management system of building prefabricated components, comprising the following steps: S1: collecting production data through a data acquisition module;

[0064] S2: Process the collected data through the data processing module;

[0065] S3: Perform production scheduling based on the processed data through the production scheduling module;

[0066] S4: Monitor production quality through quality control module;

[0067] S5: Manage production equipment through the equipment management module;

[0068] S6: Monitor production safety through the safety monitoring module;

[0069] S7: Make decisions based on data analysis results through the intelligent decision-making module;

[0070] S8: Realize high-speed data transmission between modules within the system through 5G communication module.

[0071] Preferably, the intelligent decision-making module in step seven uses the following formula to make a decision: Where D represents the decision factor, represents the actual observation value, represents the expected value, and represents the number of observations. The intelligent decision-making module uses the decision factor formula to make decisions. The formula comprehensively considers the deviation between the actual observation value and the expected value, and provides accurate decision-making basis for production management through quantitative analysis.

[0072] As can be seen from the above, this method achieves comprehensive intelligent management of production through a series of continuous steps. First, the data acquisition module is used to collect key data on the production line, and then the data is deeply analyzed by the data processing module. Next, the production scheduling module optimizes the production plan and tracks the progress based on the analysis results, while the quality control module ensures that the product meets the quality standards. At the same time, the equipment management module monitors the equipment status to predict maintenance needs, and the safety monitoring module identifies potential risks and issues timely warnings. Finally, the intelligent decision-making module integrates all information to provide data-driven decision support for production management. The entire process uses the 5G communication module to achieve high-speed, real-time data transmission between modules, ensuring the efficient and coordinated operation of the management system.

[0073] The embodiments of the present invention are provided for the purpose of illustration and description. Although the embodiments of the present invention have been shown and described above, it can be understood that the above embodiments are exemplary and cannot be understood as limitations of the present invention. Ordinary technicians in this field can change, modify, replace and modify the above embodiments within the scope of the present invention.

[0074] In the present invention, unless otherwise clearly specified and limited, the terms "installed", "connected", "connected", "fixed" and the like should be understood in a broad sense, for example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection or an electrical connection; it can be a direct connection or an indirect connection through an intermediate medium, it can be the internal connection of two elements or the interaction relationship between two elements. For ordinary technicians in this field, the specific meanings of the above terms in the present invention can be understood according to specific circumstances.

[0075] In the present invention, unless otherwise clearly specified and limited, a first feature being "above" or "below" a second feature may mean that the first and second features are in direct contact, or the first and second features are in indirect contact through an intermediate medium. Moreover, a first feature being "above", "above" or "above" a second feature may mean that the first feature is directly above or obliquely above the second feature, or simply means that the first feature is higher in level than the second feature. A first feature being "below", "below" or "below" a second feature may mean that the first feature is directly below or obliquely below the second feature, or simply means that the first feature is lower in level than the second feature.

[0076] In the description of this specification, the description with reference to the terms "one embodiment", "some embodiments", "examples", "specific examples" or "some examples" etc. means that the specific features, structures, materials or characteristics described in conjunction with the embodiment or example are included in at least one embodiment or example of the present invention. In this specification, the schematic representations of the above terms do not necessarily refer to the same embodiment or example. Moreover, the specific features, structures, materials or characteristics described may be combined in any one or more embodiments or examples in a suitable manner. In addition, those skilled in the art may combine and combine different embodiments or examples described in this specification and the features of different embodiments or examples, unless they are contradictory.

[0077] In the drawings of the embodiments disclosed in the present invention, only the structures involved in the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other.

[0078] Although the present invention has been described in detail with reference to the aforementioned embodiments, it is still possible for those skilled in the art to modify the technical solutions described in the aforementioned embodiments, or to make equivalent substitutions for some of the technical features therein. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the protection scope of the present invention.

Claims

1. An intelligent production management system for building prefabricated components based on 5G technology, characterized in that: include: Data acquisition module, used to collect data during the production process and transmit the data to the data processing module through the high-speed 5G network; The data processing module is used to receive the raw data from the data acquisition module and store, standardize, perform cluster analysis and anomaly detection on it; The production scheduling module is used to generate and adjust the production plan and track the production progress according to the data analyzed by the data processing module; Quality control module, used to monitor the quality of the production process, and conduct quality inspection and feedback through real-time data analysis; Equipment management module, used to monitor the operating status of production equipment and realize predictive maintenance of equipment; Safety monitoring module, used to monitor the production safety of the entire production process; Intelligent decision-making module, used to make decisions based on data analysis results; 5G communication module, used to achieve high-speed data transmission between modules within the system.

2. The intelligent production management system for building prefabricated components based on 5G technology as claimed in claim 1, characterized in that: The data acquisition module includes a sensor, which is used to collect temperature, humidity and pressure on the production line in real time. The acquisition module also includes an RFID reader, which performs data standardization processing through the following formula: Among them, X norm represents the standardized data, X represents the original data, μ represents the mean value of the data, and σ represents the standard deviation of the data.

3. The intelligent production management system for building prefabricated components based on 5G technology as claimed in claim 2, characterized in that: The data processing module includes a data storage unit, which is used to store the collected data. The data processing module also includes a data analysis unit, which is used to perform cluster analysis on the collected data using the following formula Among them, d ij represents the Euclidean distance between data points i and j, x ik and x jk Respectively represent the values ​​of data points i and j on the kth feature. The collected data is anomaly detected using the following formula Where A represents the abnormal sign, X represents the data point, μ represents the mean value of the data, σ represents the standard deviation of the data, and k represents the threshold coefficient.

4. The intelligent production management system for building prefabricated components based on 5G technology as claimed in claim 1, characterized in that: The production scheduling module includes a production plan generation unit for generating a production plan. The production plan generation unit is optimized using the following formula: max =max 1≤i≤n {c i }, where C max represents the maximum completion time, c i represents the completion time of the i-th task; The production plan uses the following formula to calculate production efficiency: Among them, E eff represents production efficiency, t antual,i represents the actual completion time of the ith task, t planned,i represents the planned completion time of the i-th task; The production scheduling module also includes a production progress tracking unit for tracking the production plan.

5. The intelligent production management system for building prefabricated components based on 5G technology as claimed in claim 1, characterized in that: The quality control module includes a quality detection unit for detecting production quality. The quality detection unit performs detection according to the following formula: Q represents the average quality score, q i represents the quality score of the i-th product. At the same time, the quality defect prediction during inspection can be adopted as follows: Q pred =f(X1,X2,...,X n ,), where Q pred represents the predicted quality defect, f represents the prediction model, X i represents the i-th factor affecting the quality. The quality control module also includes a quality feedback unit for providing timely feedback on the quality problems detected.

6. The intelligent production management system for building prefabricated components based on 5G technology as claimed in claim 1, characterized in that: The equipment management module includes an equipment status monitoring unit. The equipment maintenance priority in the equipment status monitoring unit is sorted by the following formula: P represents the priority of equipment maintenance, M represents the number of equipment failures, and T represents the total equipment operation time. During equipment maintenance, the equipment maintenance cost evaluation in the equipment maintenance scheduling unit is carried out using the following formula: C maint =C fix +C labour +C parts , where C maint represents the total maintenance cost, C fix represents the repair cost, C labour represents labor cost, C parts Represents the cost of the part.

7. The intelligent production management system for building prefabricated components based on 5G technology as claimed in claim 6, characterized in that: The security monitoring module includes a behavior recognition unit, which is used to identify and process behaviors. The installation monitoring module also includes an early warning unit. The security risk assessment in the early warning unit is performed using the following formula: Where R represents the security risk level, p i represents the probability of the occurrence of the i-th unsafe behavior, s i Indicates the severity of the i-th unsafe behavior. When evaluating, the security incident response time is evaluated using the following formula: T resp represents the average response time, t response,i Indicates the response time to the i-th security event.

8. The intelligent production management system for building prefabricated components based on 5G technology as claimed in claim 1, characterized in that: The intelligent decision-making module uses the following steps to perform decision analysis: S1, using data acquisition module to obtain various key parameters on the production line, such as temperature, humidity, pressure and real-time status of prefabricated components; S2, based on the collected data, analyzes the data, identifies production trends, predicts potential problems, and makes optimization suggestions accordingly.

9. A method for intelligent production management of building prefabricated components based on 5G technology, applied to any one of the intelligent production management systems for building prefabricated components based on 5G technology in claims 1 to 8 above, comprising the following steps, characterized in that: S1: Collect production data through the data acquisition module; S2: Process the collected data through the data processing module; S3: Perform production scheduling based on the processed data through the production scheduling module; S4: Monitor production quality through quality control module; S5: Manage production equipment through the equipment management module; S6: Monitor production safety through the safety monitoring module; S7: Make decisions based on data analysis results through the intelligent decision-making module; S8: Realize high-speed data transmission between modules within the system through 5G communication module.

10. The intelligent production management system and method of prefabricated building components based on 5G technology as claimed in claim 1, characterized in that: The intelligent decision-making module in step 7 uses the following formula to make decisions: Where D represents the decision factor, represents the actual observed value, represents the expected value, and represents the number of observations.

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