Intelligent networking online management system in oven production process

Abstract

The invention discloses an intelligent networking online management system for an oven production process, and belongs to the technical field of production management. According to the system, a raw material-process-finished product-logistics full-link networking traceability system is constructed and comprises a raw material management module, a process management module, a finished product management module, a logistics management module, a data storage module and a data traceability module, and association indexes are established for link management objects through unique identification codes; raw material information collection and warehouse-in and warehouse-out management, process data real-time collection and circulation management and control, finished product assembly association and quality inspection registration, and logistics information entry and state tracking are realized; data security and integrity are guaranteed by means of distributed data storage, multi-dimensional query, traceability link visualization and responsibility positioning are realized through a data traceability module, and data hierarchical management and control are realized in combination with an authority management module. The system effectively solves the problems of incoherent tracing, fuzzy responsibility definition and the like in the traditional oven production process, and remarkably improves the production management efficiency and the product quality management and control level.

Description

Technical Field

[0001] This invention relates to the technical field of production management, and more particularly to an intelligent networked online management system for oven production. Background Technology

[0002] In the oven manufacturing industry, the production process covers multiple stages, including raw material procurement, multi-process processing, finished product assembly and quality inspection, and logistics and shipping. The data in each stage is scattered and poorly correlated, which is a common pain point in the industry.

[0003] Traditional oven production management models often employ manual recording or segmented management systems, which have the following shortcomings: First, in the raw material management stage, it is impossible to accurately link raw material batches with subsequent production processes. Once a raw material quality problem occurs, it is difficult to quickly locate the affected semi-finished and finished products. Second, during the process flow, production data collection is delayed and incomplete. Equipment operating parameters, operator operation information, and the quality status of semi-finished products lack effective linkage, resulting in low traceability efficiency when process abnormalities occur. Third, the traceability chain between finished products, raw materials, and processes is broken. When quality problems occur in finished products, it is impossible to quickly trace back to the specific raw material supplier, process station, and responsible personnel. Fourth, information in the logistics stage is disconnected from information in the production stage. The status of finished products during transportation cannot be tracked in real time, making it difficult to determine responsibility when logistics losses occur. Fifth, the lack of a unified data access control mechanism makes it easy for data leaks or misoperations to occur, affecting the security of production management.

[0004] Existing production traceability systems often focus on single stages, failing to achieve end-to-end closed-loop traceability. Furthermore, data correlation between stages relies on manual entry, making data errors or omissions prone to occur, thus failing to meet the demands of refined and intelligent management in oven production. Therefore, there is an urgent need for an intelligent management system capable of achieving end-to-end data networking and correlation between raw materials, processes, finished products, and logistics, ensuring efficient and accurate traceability, and clearly defining responsibilities, to address the shortcomings of existing technologies. Summary of the Invention

[0005] This invention proposes an intelligent networked online management system for oven production. This system addresses the pain points of existing technologies by using multi-module collaboration and innovative technology design to solve the problems existing in the prior art.

[0006] To achieve the above objectives, the technical solution adopted by the present invention is as follows: An intelligent networked online management system for oven production is provided, including: a raw material management module, a process management module, a finished product management module, a logistics management module, a data storage module, and a data traceability module; each module interacts with data through a network and associates data at each stage of the entire chain through a unique identification code; The unique identification code is used to connect raw material batches, process stations, semi-finished products, finished products and logistics units in the entire oven production chain. The unique identification code includes basic identification information and associated identification information. The basic identification information is used to distinguish different types of management objects, and the associated identification information is used to establish the correspondence between raw materials and processes, processes and semi-finished products, semi-finished products and finished products, and finished products and logistics units. It also includes an equipment early warning module and an access control module. The equipment early warning module is used to monitor the operating parameters of production equipment in real time and compare them with the preset normal parameter range. When the operating parameters exceed the normal range, an early warning message is generated. The early warning message includes the equipment number, process station, abnormal parameter, and early warning time. The early warning message is associated with the unique identification code of the corresponding process station and pushed to the terminal of the relevant maintenance personnel. The access control module is used to assign different data operation permissions to users with different roles to realize hierarchical data management.

[0007] Preferably, the raw material management module includes a raw material information collection unit, a raw material warehousing registration unit, and a raw material outbound association unit. The raw material information collection unit is used to collect basic information, quality inspection information, and supplier information of various raw materials required for oven production. The basic information includes the raw material name, model specifications, manufacturer, and production date. The quality inspection information includes the quality inspection items, quality inspection results, quality inspectors, and quality inspection time. The raw material warehousing registration unit is used to associate and bind the collected raw material information with the generated unique batch identification code of the raw material, and record the raw material warehousing time, warehousing quantity, and storage location information. The raw material outbound association unit is used to associate and bind the unique batch identification code of the raw material with the unique identification code of the corresponding production process station when the raw material is outbound and put into production, and record the raw material outbound time, outbound quantity, and receiving personnel information.

[0008] Preferably, the process management module includes a process information configuration unit, a process data acquisition unit, and a process flow association unit. The process information configuration unit is used to preset the process flow, process name, process number, corresponding workstation, work standards, and required equipment information for each process in oven production. The process data acquisition unit is used to collect production data for each process in real time through workstation terminals and production equipment sensors. The production data includes process start time, end time, operators, equipment operating parameters, semi-finished product quality inspection results, and production quantity. The process flow association unit is used to associate and bind the unique identification code of the current process workstation, the unique identification code of the semi-finished product, and the unique identification code of the next process workstation when the semi-finished product flows from the current process to the next process, forming a process flow data chain. If the semi-finished product quality inspection is unqualified, the reason for the unqualified product, the handling method, and the handling personnel information are recorded.

[0009] Preferably, the finished product management module includes a finished product assembly association unit, a finished product quality inspection registration unit, and a finished product information binding unit. The finished product assembly association unit is used to associate and bind the unique identification code of each semi-finished product, the unique identification code of the batch of raw materials used, and the unique identification code of the finished product during the oven finished product assembly process, forming a traceability association between the finished product and the raw materials and semi-finished products. The finished product quality inspection registration unit is used to collect the final quality inspection information of the finished product, including quality inspection items, quality inspection results, quality inspection equipment, quality inspection personnel, and quality inspection time. If the quality inspection is qualified, the finished product qualification mark is recorded. If the quality inspection is unqualified, the corresponding raw material batch, process link, and relevant responsible personnel are traced back. The finished product information binding unit is used to associate the unique identification code of the finished product with the basic information of the finished product, including product model, production batch, production time, and factory serial number.

[0010] More preferably, the finished product management module also includes a finished product quality inspection unit, used to detect quality problems in the finished oven and output quality inspection results. Specifically, a quality risk score is introduced to indicate the quality status of the oven at different time periods. The calculation formula for the quality risk score is as follows: ; in, This indicates the degree of quality deviation of the finished product i from the oven. , This represents the standardized value of the maximum deviation across all time windows during the production process. This indicates the deviation of the semi-finished product oven within each time window, used to represent the difference between the actual quality and the expected quality. This represents the weighting coefficient for each time window, where n is the production time. When the quality risk score reaches the set threshold, it is determined to be substandard. The system will trigger the intelligent traceability mechanism, sending the relevant information of the substandard oven to the data traceability module and recording the reasons for non-compliance, handling methods, and personnel information.

[0011] Preferably, the logistics management module includes a logistics information entry unit, a logistics status tracking unit, and a logistics node association unit. The logistics information entry unit is used to associate and bind the unique identification code of the finished product with the unique identification code of the logistics unit when the finished product is shipped out of the warehouse, and to enter relevant logistics information, including the carrier name, vehicle number, shipping time, destination, and recipient information. The logistics status tracking unit is used to collect real-time location information and transportation status during the logistics transportation process through GPS positioning, logistics node scanning, etc. The transportation status includes en route, arrived at the transit station, in delivery, and signed for. The logistics node association unit is used to associate various nodes in the logistics transportation process, including outbound, transit, delivery, and signed for, by recording the node time, operator, and status information, and associating them with the unique identification code of the logistics unit and the unique identification code of the finished product.

[0012] Preferably, the data storage module is used to store all data related to each link in the entire chain, including raw material information, process data, finished product information, logistics information and the association mapping relationship of each unique identification code. It adopts a distributed database architecture, supports real-time writing, querying and backup of data, and has data encryption function to ensure data security and integrity.

[0013] Preferably, the data traceability module includes a multi-dimensional query unit, a traceability link display unit, and a responsibility determination unit. The multi-dimensional query unit supports querying the corresponding full-link data through any dimension of information such as the unique identification code of the raw material batch, the unique identification code of the finished product, the unique identification code of the logistics unit, the production time period, and the operator. The traceability link display unit is used to visually display the complete traceability link from raw material warehousing, process flow, finished product production to logistics transportation and the associated data of each link during the query. The responsibility determination unit is used to locate the specific link where the problem occurred through the traceability link when product quality problems or production abnormalities are found, including raw materials, processes, finished product quality inspection or logistics, and extract the responsible personnel, operation information and equipment data of the corresponding link.

[0014] Compared with the prior art, the intelligent networked online management system for oven production process of the present invention has the following significant advantages: 1. Achieve closed-loop traceability across the entire supply chain and improve traceability accuracy: This system uses a unique identification code to link data from raw materials to processes, finished products, and logistics, constructing a complete traceability chain and breaking down information barriers caused by traditional segmented management. Whether it's a raw material quality issue, a production anomaly, a finished product quality inspection failure, or logistics transportation loss, the system can quickly trace back to the relevant link using the unique identification code, clearly identifying the management objects involved and the associated data, thus solving the problems of inconsistent traceability and low accuracy in traditional management models.

[0015] 2. Strengthen production process control and improve product quality: The system collects data such as equipment operating parameters, operator operation information, and semi-finished product quality inspection results in real time through the process management module. Combined with the equipment early warning unit, it can promptly detect production abnormalities and push early warning information, which can facilitate maintenance personnel to handle them quickly and reduce the generation of defective products. The finished product management module realizes full-process traceability of finished product quality by linking raw material and semi-finished product information, thereby improving the quality control level of oven products from the source.

[0016] 3. Clearly define responsibilities and reduce management costs: Relying on the full-chain associated data and data traceability module, when quality problems or production anomalies occur, the link where the problem occurred and the corresponding responsible personnel can be quickly located, avoiding the shirking of responsibility; at the same time, automated data collection and association replace traditional manual recording, reducing data entry errors, improving production management efficiency, and reducing human resource management costs.

[0017] 4. Ensure data security and implement hierarchical management: The system adopts a distributed database architecture and has data encryption function to ensure the security and integrity of data throughout the entire chain; the permission management module assigns exclusive data operation permissions to users with different roles to prevent unauthorized personnel from obtaining sensitive production data, prevent data leakage or misoperation, and meet the security needs of enterprise production data management.

[0018] 5. Supporting intelligent decision-making and assisting enterprise development: The system stores full-chain production and logistics data, which can provide data support for enterprises. By analyzing data from each link, it can help enterprises optimize production processes, select high-quality suppliers, adjust logistics plans, and promote the intelligent and digital transformation of oven manufacturers. Attached Figure Description

[0019] Figure 1 This is a framework diagram of an intelligent networked online management system for oven production in a specific embodiment of the present invention.

[0020] Figure 2 This is a framework diagram of the raw material management module of the present invention.

[0021] Figure 3 This is a framework diagram of the process management module of the present invention.

[0022] Figure 4 This is a framework diagram of the finished product management module of the present invention. Detailed Implementation

[0023] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] Please refer to Figure 1 As shown, this application proposes an intelligent networked online management system for oven production, comprising: a raw material management module, a process management module, a finished product management module, a logistics management module, a data storage module, and a data traceability module; each module interacts with data through a network and associates data across all stages of the entire process through a unique identification code; The unique identification code is used to connect raw material batches, process stations, semi-finished products, finished products and logistics units in the entire oven production chain. The unique identification code includes basic identification information and associated identification information. The basic identification information is used to distinguish different types of management objects, and the associated identification information is used to establish the correspondence between raw materials and processes, processes and semi-finished products, semi-finished products and finished products, and finished products and logistics units. Please see Figure 2 The raw material management module includes a raw material information collection unit, a raw material warehousing registration unit, and a raw material outbound association unit. The raw material information collection unit collects basic information, quality inspection information, and supplier information for various raw materials required for oven production. Basic information includes raw material name, model specifications, manufacturer, and production date. Quality inspection information includes inspection items, inspection results, inspectors, and inspection time. The raw material warehousing registration unit associates the collected raw material information with the generated unique batch identification code and records the raw material warehousing time, quantity, and storage location. The raw material outbound association unit associates the unique batch identification code with the corresponding unique workstation identification code when raw materials are released for production, recording the raw material outbound time, quantity, and receiving personnel information.

[0025] When raw materials such as metal sheets and heating elements arrive, the raw material purchasing staff uses the intelligent barcode scanning terminal in the raw material warehouse to access the raw material information collection unit of the raw material management module. This collects basic raw material information, such as: metal sheet: name 304 stainless steel sheet, specifications 1.2mm×1220mm×2440mm, manufacturer XX Metal Materials Co., Ltd., production date xxxx year xx month xx day, quality inspection information: qualified, quality inspector: Zhang San, inspection time: xxxx year xx month xx day; supplier information: supplier name XX Metal Materials Co., Ltd., contact person: Li Si, contact number: 138XXXX1234. Subsequently, through the raw material warehousing registration unit, the above information is linked and bound with the generated unique batch identification code, and the warehousing time xxxx year xx month xx day xx:xx, quantity, and storage location (shelf number 1 in area A of the raw material warehouse) are entered. The data is synchronized to the distributed database in real time.

[0026] When the cutting process needs to use this batch of metal sheets, the person receiving the sheet scans the unique identification code of the raw material batch and the unique identification code of the No. 1 workstation of the cutting process through the workstation barcode scanning terminal. The raw material outbound association unit automatically records the outbound time (xxxx year xx month xx day), the outbound quantity, and the information of the person receiving the sheet, thus completing the association binding between the raw material and the workstation and realizing accurate traceability of the raw material outbound.

[0027] Please see Figure 3 The process management module includes a process information configuration unit, a process data acquisition unit, and a process flow association unit. The process information configuration unit is used to preset the process flow, process name, process number, corresponding workstation, work standards, and required equipment information for each process in oven production. The process data acquisition unit is used to collect production data for each process in real time through workstation terminals and production equipment sensors. The production data includes process start time, end time, operators, equipment operating parameters, semi-finished product quality inspection results, and production quantity. The process flow association unit is used to associate and bind the unique identification code of the current process workstation, the unique identification code of the semi-finished product, and the unique identification code of the next process workstation when the semi-finished product flows from the current process to the next process, forming a process flow data chain. If the semi-finished product quality inspection is unqualified, the reason for the unqualified product, the handling method, and the handling personnel information are recorded.

[0028] The process management module's process information configuration unit presets the oven production process flow: cutting → stamping → welding → control panel installation → wiring connection → semi-finished product assembly → finished product pre-assembly. Each process is assigned a number: 001-cutting, 002-stamping, etc., clearly defining the corresponding workstation, work standards, and required equipment for each process.

[0029] During the cutting process, production worker Wang Wu logs into the system through the workstation terminal, scans his work badge and the unique identification code of workstation number 1 in the cutting process, and the process data acquisition unit collects the equipment operating parameters in real time through the sensors on the cutting machine and records the start time of the process. After the cutting is completed, quality inspector Zhao Liu conducts quality inspection on the semi-finished products, enters the quality inspection results into the system, and the process data acquisition unit records the end time of the process, the production quantity, and generates a unique identification code for the batch of semi-finished products (as above).

[0030] When the batch of semi-finished products is transferred to the stamping process, production workers scan the unique identification code of the semi-finished product and the unique identification code of station 1 in the stamping process using a barcode scanner. The process flow association unit automatically establishes a data link between the cutting process and the stamping process. If a semi-finished product fails quality inspection due to surface dents after stamping, the quality inspector enters the reason for the failure: stamping pressure too high, exceeding the preset range by 30MPa, the handling method, and the information of the personnel handling the failure. The system automatically associates and binds this failure information with the unique identification code of the semi-finished product and the unique identification code of the stamping station for easy traceability.

[0031] Meanwhile, the equipment early warning unit monitors the operating pressure of the stamping machine in real time. The preset normal range is 80-100MPa. When the pressure reaches 135MPa, an early warning message is immediately generated, including the equipment number, process station, abnormal parameter pressure of 135MPa, and warning time. The message is pushed to the terminal of maintenance personnel Sun Qi. Sun Qi promptly stops the machine for maintenance to prevent more defective products from being produced.

[0032] Please see Figure 3 The finished product management module includes a finished product assembly association unit, a finished product quality inspection registration unit, and a finished product information binding unit. The finished product assembly association unit is used to associate and bind the unique identification codes of each semi-finished product, the unique identification codes of the raw material batches used, and the unique identification codes of the finished product during the oven assembly process, forming a traceability link between the finished product and the raw materials and semi-finished products. The finished product quality inspection registration unit is used to collect the final quality inspection information of the finished product, including quality inspection items, quality inspection results, quality inspection equipment, quality inspection personnel, and quality inspection time. If the quality inspection is qualified, a finished product qualification mark is recorded; if the quality inspection is unqualified, it is linked to the corresponding raw material batch, process step, and relevant responsible personnel. The finished product information binding unit is used to associate the finished product unique identification code with the finished product basic information, which includes the product model, production batch, production time, and factory serial number.

[0033] When semi-finished products from each process are transferred to the finished product assembly process, assembly workers scan each semi-finished product, including the oven shell, heating element, control panel, etc., using a barcode scanning terminal. Through its unique identification code and the unique identification code of the raw materials used in the batch, the finished product assembly association unit associates and binds these identification codes with the generated unique identification code of the finished product, forming a complete traceability association between the finished product and the raw materials and semi-finished products.

[0034] After assembly, the finished product enters the finished product inspection stage. Quality inspectors use professional inspection equipment to test the oven's heating efficiency, temperature control accuracy, and safety performance. The inspection terminal collects finished product inspection information: heating efficiency reaches 95%, temperature control accuracy error is ±1℃, safety performance is qualified, the inspection equipment is ZJ-003, the inspector is Zhou Ba, and the inspection time is [date and time]. The finished product quality inspection registration unit records the finished product's qualification mark and links the inspection information with the finished product's unique identification code. If a finished product is found to have a temperature control accuracy error of ±3℃, it is judged as unqualified. The system quickly traces the corresponding heating element raw material batch using the finished product's unique identification code. For example, by using the identification code, the workstation of the heating element installation process, and the operator Wu Jiu, the problematic link and responsible personnel are identified. Subsequently, the finished product information binding unit links the finished product's unique identification code with the finished product's basic information: product model is xxxx, production batch is xxxxxx, production time is xxxx year xx month xx day, and factory number is xxxxxxxxxx, completing the complete entry of finished product information.

[0035] Specifically, the deviation of the semi-finished products in each process is first calculated within each time window, representing the difference between the actual quality and the expected quality. A weighted distance metric is used to calculate the deviation to handle different load fluctuations. Specifically, for each time window... The formula for calculating the deviation is: ; in, It is the expected quality. It is the true quality. This is a quality fluctuation correction factor, typically a constant less than 1, used to reduce deviations caused by occasional fluctuations in defective products. This correction factor ensures that the deviation calculation of semi-finished products in each process can more accurately reflect the impact of quality fluctuations on the quality of good products during the period when defective products occur.

[0036] Based on this, the deviation of each time window The deviation of the finished product is obtained by performing a weighted average. The purpose of weighted averaging is to give greater weight to periods of significant load fluctuations when calculating overall equipment risk, especially those periods associated with high demand or equipment failure. The formula for calculating the deviation of the oven finished product in the exam is: ; in, This indicates the deviation of the semi-finished product oven within each time window, used to represent the difference between the actual quality and the expected quality. This represents the weighting coefficient for each time window, where n is the production time; weighting coefficient It can be dynamically adjusted based on the importance of each step in the oven's process. For example, for the heating plate, which is more important in the oven... The weight of will be higher, and vice versa.

[0037] The finished product management module also includes a finished product quality inspection unit, used to detect quality problems in the finished ovens, output quality inspection results, calculate the deviation of semi-finished products and weighted deviations, and further introduce a quality risk score to indicate the quality status of the ovens at different time periods. The formula for calculating the quality risk score is as follows: ; in, This indicates the degree of quality deviation of the finished product i from the oven. , This represents the standardized value of the maximum deviation across all time windows during the production process. This indicates the deviation of the semi-finished product oven within each time window, used to represent the difference between the actual quality and the expected quality. This represents the weighting coefficient for each time window, where n is the production time. When the quality risk score reaches the set threshold, it is determined to be substandard. The system will trigger the intelligent traceability mechanism, sending the relevant information of the substandard oven to the data traceability module and recording the reasons for non-compliance, handling methods, and personnel information.

[0038] This rating can determine whether the oven is in good working order. If the rating is higher than the preset threshold, it means that the oven is defective and poses a high risk. Further remanufacturing and tracing the source of the defect are required.

[0039] Based on this, the quality risk score is dynamically linked to the equipment's operating status. Specifically, when the risk score reaches a set threshold, the system will trigger an intelligent traceability mechanism, sending the relevant information of the substandard ovens to the data traceability module and recording the reasons for non-compliance, handling methods, and personnel information.

[0040] The logistics management module includes a logistics information entry unit, a logistics status tracking unit, and a logistics node association unit. The logistics information entry unit is used to associate and bind the unique identification code of the finished product with the unique identification code of the logistics unit when the finished product is shipped out of the warehouse, and to enter relevant logistics information, including the carrier name, vehicle number, shipping time, destination, and recipient information. The logistics status tracking unit is used to collect real-time location information and transportation status during the logistics transportation process through GPS positioning, logistics node scanning, etc., and the transportation status includes en route, arrived at the transit station, under delivery, and signed for. The logistics node association unit is used to associate various nodes in the logistics transportation process, including outbound, transit, delivery, and signed for. It records the node time, operator, and status information, and associates and binds these information with the unique identification code of the logistics unit and the unique identification code of the finished product.

[0041] After the finished products pass inspection, they are stored in the warehouse. When it is necessary to ship to a distributor, the logistics specialist scans the unique identification code of the finished product and the unique identification code of the logistics unit through the finished product warehouse barcode scanning terminal, and enters the relevant logistics information through the logistics information entry unit: the carrier name is XX Logistics Co., Ltd., the transport vehicle number is 12345, and the shipping time is xxxx year xx month xx day xx:xx.

[0042] During transportation, the logistics status tracking unit collects vehicle location information in real time through the GPS positioning terminal of the transport vehicle, updating it every 3 minutes and synchronizing it to the system platform. Logistics specialists can view the transportation status in real time through the logistics management module, such as "in transit status on [date] at [time]", located on [location] of [expressway]. When the vehicle arrives at the [city] transfer station, the transfer station operator scans the unique identification code of the logistics unit, and the logistics node association unit records the node time, operator information, and status information. When the finished product is delivered to the distributor and signed for, the recipient confirms receipt, and the operator scans the unique identification code of the logistics unit and the unique identification code of the finished product, recording the receipt time, receipt time, and recipient information, thus completing the association and binding of data throughout the entire logistics process.

[0043] When a distributor reports a heating malfunction in a finished oven, the enterprise administrator can use the multi-dimensional query unit of the data traceability module to enter the unique identification code of the finished product for querying. The traceability link display unit visualizes the complete traceability link in the form of a flowchart: Raw material stage (metal sheet, heating element, etc.) → Process stage: cutting → stamping → ... → heating element installation → Finished product quality inspection stage: quality inspector Zhou Ba, quality inspection result is qualified → Logistics stage: carrier XX Logistics, transport vehicle 12345.

[0044] Data tracing revealed that the batch of raw materials used in the oven's heating element was subsequently found to be substandard in random inspections. The responsibility determination unit automatically pinpointed the problem to the raw material procurement stage, extracting relevant responsible personnel and raw material quality inspection information to clarify the responsibilities involved in raw material procurement and quality inspection, providing data support for subsequent rectification and accountability. Simultaneously, the administrator quickly used the system to query other finished ovens from the same batch of raw materials, promptly notifying relevant distributors to initiate recalls and prevent further negative impacts.

[0045] In this embodiment, through the actual operation of this system, real-time collection, association and traceability of oven production data are realized, which solves the problems of raw material and process disconnection, difficulty in tracing process abnormalities and unclear responsibility for finished product quality problems in traditional production management. The efficiency of production data entry is improved, the time for tracing quality problems is reduced, and the production management efficiency and product quality control level of enterprises are significantly improved.

[0046] The above embodiments are merely descriptions of preferred embodiments of the present invention and are not intended to limit the scope of the present invention. Various modifications and improvements made by those skilled in the art to the technical solutions of the present invention without departing from the spirit of the present invention should fall within the protection scope defined by the claims of the present invention.

Claims

1. An intelligent networked online management system for oven production, characterized in that, include: The system includes modules for raw material management, process management, finished product management, logistics management, data storage, and data traceability. Each module interacts with data via the network, and uses a unique identification code to link data at each stage of the entire chain; The unique identification code is used to connect raw material batches, process stations, semi-finished products, finished products and logistics units in the entire oven production chain. The unique identification code includes basic identification information and associated identification information. The basic identification information is used to distinguish different types of management objects, and the associated identification information is used to establish the correspondence between raw materials and processes, processes and semi-finished products, semi-finished products and finished products, and finished products and logistics units. It also includes an equipment early warning module and an access control module. The equipment early warning module is used to monitor the operating parameters of production equipment in real time and compare them with the preset normal parameter range. When the operating parameters exceed the normal range, an early warning message is generated. The early warning message includes the equipment number, process station, abnormal parameter, and early warning time. The early warning message is associated with the unique identification code of the corresponding process station and pushed to the terminal of the relevant maintenance personnel. The access control module is used to assign different data operation permissions to users with different roles to realize hierarchical data management.

2. The intelligent networked online management system for oven production process according to claim 1, characterized in that, The raw material management module includes a raw material information collection unit, a raw material warehousing registration unit, and a raw material outbound association unit. The raw material information collection unit collects basic information, quality inspection information, and supplier information for various raw materials required for oven production. Basic information includes raw material name, model specifications, manufacturer, and production date. Quality inspection information includes inspection items, inspection results, inspectors, and inspection time. The raw material warehousing registration unit associates the collected raw material information with the generated unique batch identification code and records the raw material warehousing time, quantity, and storage location. The raw material outbound association unit associates the unique batch identification code with the corresponding unique workstation identification code when raw materials are released for production, recording the raw material outbound time, quantity, and receiving personnel information.

3. The intelligent networked online management system for oven production process according to claim 1, characterized in that, The process management module includes a process information configuration unit, a process data acquisition unit, and a process flow association unit. The process information configuration unit is used to preset the process flow, process name, process number, corresponding workstation, work standards, and required equipment information for each process in oven production. The process data acquisition unit is used to collect production data for each process in real time through workstation terminals and production equipment sensors. The production data includes process start time, end time, operators, equipment operating parameters, semi-finished product quality inspection results, and production quantity. The process flow association unit is used to associate and bind the unique identification code of the current process workstation, the unique identification code of the semi-finished product, and the unique identification code of the next process workstation when the semi-finished product flows from the current process to the next process, forming a process flow data chain. If the semi-finished product quality inspection is unqualified, the reason for the unqualified product, the handling method, and the handling personnel information are recorded.

4. The intelligent networked online management system for oven production process according to claim 1, characterized in that, The finished product management module includes a finished product assembly association unit, a finished product quality inspection registration unit, and a finished product information binding unit. The finished product assembly association unit is used to associate and bind the unique identification codes of each semi-finished product, the unique identification codes of the raw material batches used, and the unique identification codes of the finished product during the oven assembly process, forming a traceability association between the finished product and the raw materials and semi-finished products. The finished product quality inspection registration unit is used to collect the final quality inspection information of the finished product, including quality inspection items, quality inspection results, quality inspection equipment, quality inspection personnel, and quality inspection time. If the quality inspection is qualified, a finished product qualification mark is recorded; if the quality inspection is unqualified, the process is traced back to the corresponding raw material batch, process step, and relevant responsible personnel. The finished product information binding unit is used to associate the unique identification code of the finished product with the basic information of the finished product, including the product model, production batch, production time, and factory serial number.

5. The intelligent networked online management system for oven production process according to claim 4, characterized in that, The finished product management module also includes a finished product quality inspection unit, used to detect quality problems in the finished ovens and output inspection results. Specifically, it introduces a quality risk score to indicate the quality status of the ovens at different time periods. The calculation formula for the quality risk score is as follows: ； in, This indicates the degree of quality deviation of the finished product i from the oven. , This represents the standardized value of the maximum deviation across all time windows during the production process. This indicates the deviation of the semi-finished product oven within each time window, used to represent the difference between the actual quality and the expected quality. This represents the weighting coefficient for each time window, where n is the production time. When the quality risk score reaches the set threshold, it is determined to be substandard. The system will trigger the intelligent traceability mechanism, sending the relevant information of the substandard oven to the data traceability module and recording the reasons for non-compliance, handling methods, and personnel information.

6. The intelligent networked online management system for oven production process according to claim 1, characterized in that, The logistics management module includes a logistics information entry unit, a logistics status tracking unit, and a logistics node association unit. The logistics information entry unit is used to associate and bind the unique identification code of the finished product with the unique identification code of the logistics unit when the finished product is shipped out of the warehouse, and to enter relevant logistics information, including the carrier name, vehicle number, shipping time, destination, and recipient information. The logistics status tracking unit is used to collect real-time location information and transportation status during the logistics transportation process through GPS positioning, logistics node scanning, etc., and the transportation status includes en route, arrived at the transit station, under delivery, and signed for. The logistics node association unit is used to associate various nodes in the logistics transportation process, including outbound, transit, delivery, and signed for, by recording the node time, operator, and status information, and associating them with the unique identification code of the logistics unit and the unique identification code of the finished product.

7. The intelligent networked online management system for oven production process according to claim 1, characterized in that, The data storage module is used to store all data related to each link in the entire chain, including raw material information, process data, finished product information, logistics information, and the association mapping relationship of each unique identification code. It adopts a distributed database architecture, supports real-time writing, querying and backup of data, and has data encryption function to ensure data security and integrity.

8. The intelligent networked online management system for oven production process according to claim 1, characterized in that, The data traceability module includes a multi-dimensional query unit, a traceability link display unit, and a responsibility determination unit. The multi-dimensional query unit supports querying the corresponding full-link data through any dimension of information such as the unique identification code of the raw material batch, the unique identification code of the finished product, the unique identification code of the logistics unit, the production time period, and the operator. The traceability link display unit is used to visually display the complete traceability link from raw material warehousing, process flow, finished product production to logistics transportation, and the related data of each link during the query. The responsibility determination unit is used to locate the specific link where the problem occurred through the traceability link when product quality problems or production anomalies are found, including raw materials, processes, finished product quality inspection or logistics, and to extract the responsible personnel, operation information and equipment data of the corresponding link.

Images