Quality data management method, system and device for whole inspection and detection process and medium

Abstract

The invention relates to the technical field of data management, and provides an inspection and detection whole-process quality data management method, system and device and a medium, and the method comprises the steps: receiving inspection delegation information; generating a detection task based on the inspection entrustment information; wherein the inspection entrustment information comprises to-be-grouped information from an upstream business system or entrustment information input through the business system; according to the detection task, generating a sampling instruction and sending the sampling instruction to a sampling execution end to trigger sampling operation; receiving test data associated with the sample taken by the sampling execution end; performing data auditing judgment on the inspection data to obtain a data judgment result; and automatically generating a data result report based on the data judgment result, and sending the data result report to a downstream service system. According to the embodiment, the detection task, the sampling instruction and the data result report are automatically generated, so that manual intervention and waiting time of each link are reduced, and agile response and rapid closed loop of the inspection and detection process are realized.

Description

TECHNICAL FIELD

[0001] The present disclosure relates to the technical field of data management, in particular, to a quality data management method, system, device and medium for inspection and detection whole process. BACKGROUND

[0002] In the field of manufacturing quality control, quality data management of the whole process of inspection and detection is crucial. With the development of enterprise digitization, the timeliness, accuracy and integrity of quality data management are increasingly required. In the traditional mode, information transmission and processing of each link of the inspection and detection process mainly depends on manual work, and data is scattered in different systems or paper records, making it difficult to achieve efficient integration and utilization, and unable to meet the needs of modern enterprise fine management and rapid decision-making.

[0003] The related technology has many problems in the quality data management of the whole process of inspection and detection. On the one hand, when receiving inspection commission information, the upstream business system and the inspection link do not connect well, information transmission is prone to error and low efficiency, affecting the generation of subsequent detection tasks. On the other hand, in the acquisition of inspection data, the detection equipment data collection platform is not unified, manual data entry is prone to human error, and data uploading is not timely, resulting in incomplete and inaccurate inspection data. SUMMARY

[0004] The embodiments of the present disclosure at least provide a quality data management method, system, device and medium for the whole process of inspection and detection, which automatically generates detection tasks, sampling instructions and data result reports, reduces manual intervention and waiting time at each link, and realizes agile response and rapid closed loop of the inspection and detection process.

[0005] The embodiments of the present disclosure provide a quality data management method for the whole process of inspection and detection, comprising: receiving inspection commission information; and generating a detection task based on the inspection commission information; wherein the inspection commission information includes batch information from an upstream business system or commission information entered through a business system; generating a sampling instruction according to the detection task and sending it to a sampling execution end to trigger sampling work; receiving inspection data associated with the sample taken by the sampling execution end; wherein the inspection data comes from a detection equipment automatically uploaded through a unified data collection platform, or from manually entered data from an entry terminal; judging the inspection data to obtain a data judgment result; and based on the data judgment result, automatically generating a data result report and sending the data result report to a downstream business system.

[0006] The embodiments of the present disclosure provide a quality data management system for the whole process of inspection and detection, comprising: An upstream interface module is configured to interface with at least one upstream business system and receive inspection commission information containing batch grouping information or direct commission information; A task scheduling engine is connected to the upstream interface module and configured to analyze the inspection commission information and generate a detection task and a sampling instruction corresponding to the inspection commission information; An instruction execution interaction module is connected to the task scheduling engine and configured to issue the sampling instruction to a sampling execution end to drive a sampling job. A data aggregation module is configured to automatically collect inspection data from a detection device through a unified data collection platform or receive manually entered inspection data through an input terminal, the inspection data being associated with a sample obtained by the sampling job. An intelligent auditing module is connected to the data aggregation module and configured to perform data auditing on the inspection data to obtain a data determination result. A report generation and distribution engine is connected to the intelligent auditing module and configured to automatically generate a data result report based on the data determination result and push the report to a designated downstream business system through a downstream interface module.

[0007] The embodiment of the present disclosure provides a kind of inspection detection whole process quality data management device, comprising: A task generation module is configured to receive inspection commission information and generate a detection task based on the inspection commission information, wherein the inspection commission information includes batch grouping information from an upstream business system or commission information input through a business system. A sampling trigger module is configured to generate a sampling instruction based on the detection task and send the sampling instruction to a sampling execution end to trigger a sampling job. A data receiving module is configured to receive inspection data associated with a sample taken by the sampling execution end, wherein the inspection data is automatically uploaded from a detection device through a unified data collection platform or manually input from an input terminal. A report generation module is configured to perform data auditing on the inspection data to obtain a data determination result, automatically generate a data result report based on the data determination result, and send the data result report to a downstream business system.

[0008] The embodiment of the present disclosure provides a computer device, comprising a processor, a memory and a bus, the memory stores machine readable instructions executable by the processor, when the computer device is running, the processor and the memory communicate through the bus, the machine readable instructions are executed by the processor to perform the inspection detection whole process quality data management method as described in any possible embodiment.

[0009] The computer readable storage medium provided in the embodiment of the present disclosure stores a computer program, and the computer program is run by a processor to implement the inspection and detection whole-process quality data management method described in any possible embodiment.

[0010] The inspection and detection whole-process quality data management method, system, device and medium provided in the embodiment of the present disclosure closely link and efficiently cooperate from receiving inspection commission information and generating a detection task, to sending a sampling instruction and triggering a sampling operation, to collecting and auditing inspection data, and finally to generating and sending a data result report, thereby improving the efficiency and accuracy of inspection and detection work, reducing errors and delays caused by human factors, and optimizing the production process. In this way, the present disclosure automatically generates a detection task, a sampling instruction and a data result report, reduces manual intervention and waiting time in each link, and realizes automatic and standardized management of inspection and detection whole-process quality data.

[0011] In order to make the above-mentioned objectives, features and advantages of the present disclosure more apparent and easy to understand, the following preferred embodiments are specifically described below, and the accompanying drawings are described in detail as follows. BRIEF DESCRIPTION OF DRAWINGS

[0012] In order to more clearly illustrate the technical solutions of the embodiments of the present disclosure, the drawings required to be cited in the embodiments will be briefly introduced below. The drawings herein are incorporated into the specification and form a part of the specification, which illustrate the embodiments consistent with the present disclosure, and are used to explain the technical solutions of the present disclosure together with the specification. It should be understood that the following drawings only show some embodiments of the present disclosure, and therefore should not be regarded as a limitation on the scope, and other related drawings can also be obtained by those skilled in the art without creative labor on the basis of these drawings.

[0013] Figure 1 A flowchart of an inspection and detection whole-process quality data management method provided by the embodiment of the present disclosure is shown; Figure 2 A flowchart of an original sample processing method provided by the embodiment of the present disclosure is shown; Figure 3 A flowchart of a data auditing and judging method provided by the embodiment of the present disclosure is shown; Figure 4 A flowchart of a data result report generating method provided by the embodiment of the present disclosure is shown; Figure 5 A schematic diagram of an inspection and detection whole-process quality data management method provided by the embodiment of the present disclosure is shown; Figure 6A structural schematic diagram of a quality data management system for the whole process of inspection and detection is shown. Figure 7 A structural schematic diagram of a quality data management device for the whole process of inspection and detection is shown. Figure 8 A structural schematic diagram of a computer device is shown. DETAILED DESCRIPTION

[0014] To make the objectives, technical solutions, and advantages of the embodiments of the present disclosure clearer, the following will be combined with the accompanying drawings for the embodiments of the present disclosure to make a clear and complete description of the technical solutions in the embodiments of the present disclosure. Obviously, the described embodiments are only a part of the embodiments of the present disclosure, rather than all the embodiments. The components of the embodiments of the present disclosure described and shown in the accompanying drawings can be arranged and designed in various different configurations. Therefore, the following detailed description of the embodiments of the present disclosure provided in the accompanying drawings is not intended to limit the scope of the claimed present disclosure, but only represents selected embodiments of the present disclosure. Based on the embodiments of the present disclosure, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present disclosure.

[0015] It should be noted that: similar reference numbers and letters represent similar items in the following drawings, so once an item is defined in one drawing, it does not need to be further defined and explained in subsequent drawings.

[0016] The term "and / or" herein only describes an association relationship, which means that there can be three relationships, for example, A and / or B can mean that A exists alone, A and B exist together, and B exists alone. In addition, the term "at least one" herein means any one of a plurality or any combination of at least two of a plurality, for example, including at least one of A, B, and C can mean including any one or more elements selected from the set consisting of A, B, and C.

[0017] In the field of manufacturing quality control, quality data management for the whole process of inspection and detection is crucial. With the development of enterprise digitization, the timeliness, accuracy, and integrity of quality data management are increasingly required. In related technologies, enterprises have begun to promote the application of quality management information systems, and have initially realized online management of raw material and product detection business, and introduced data acquisition automation technology for laboratory detection equipment. However, these methods usually aim to realize a single business function, and fail to build an integrated method covering the whole process of inspection and detection. The management functions of each link (such as batch grouping, sampling, sample preparation, and inspection) are scattered in multiple independent systems, and data transmission relies on manual export and import or paper records, resulting in fragmented inspection and detection processes and forming information islands.

[0018] It is found through research that the related technology has many problems in the inspection detection whole process quality data management. On the one hand, when receiving the inspection entrustment information, the upstream business system and the inspection link are not well connected, the post personnel need to frequently switch and manually operate between multiple independent system interfaces, the method is complicated and easy to make mistakes, which affects the generation of subsequent detection tasks. On the other hand, in the inspection data acquisition, the detection equipment data acquisition platform is not unified, a large amount of data still needs to rely on manual observation of equipment readings and manual input, which is inefficient and easy to introduce human errors; and the data uploading is not timely, which may cause the inspection data to be incomplete and inaccurate.

[0019] Based on the above research, the inspection detection whole process quality data management method, system, device and medium provided in the embodiments of the present disclosure are provided, from the inspection entrustment information receiving and detection task generation, to the sampling instruction sending and sampling operation triggering, to the inspection data acquisition and auditing, and finally to the data result report generation and sending, each link is closely connected and efficiently cooperates, which improves the efficiency and accuracy of the inspection detection work, reduces the errors and delays caused by human factors, and optimizes the production process.

[0020] In the embodiments of the present disclosure, by automatically generating detection tasks, sampling instructions and data result reports, the manual intervention and waiting time of each link are reduced, and the automation and standardized management of the inspection detection whole process quality data are realized.

[0021] In order to facilitate the understanding of the present embodiment, first, the execution subject of the inspection detection whole process quality data management method provided by the embodiments of the present disclosure is introduced in detail. The execution subject of the inspection detection whole process quality data management method provided by the embodiments of the present disclosure is a computer device. The computer device can be a terminal device or a server. The terminal device can also be a mobile device, a user terminal, a terminal, a handheld device, a computing device, a vehicle-mounted device, a wearable device, etc. The server can be a standalone physical server, a server cluster or a distributed system composed of multiple physical servers, or a cloud server providing cloud services, cloud databases, cloud computing, cloud storage, big data and artificial intelligence platforms, etc. Basic cloud computing services. Optionally, the method can also be applied to an implementation environment composed of a computer device and a server.

[0022] The inspection detection whole process quality data management method provided by the embodiments of the present disclosure will be described in detail below with reference to the accompanying drawings. Referring to FIG. 1, Figure 1 The flowchart of the inspection detection whole process quality data management method provided by the embodiments of the present disclosure is shown, and the method comprises the following S101-S104: S101, receiving inspection entrustment information; and generating a detection task based on the inspection entrustment information.

[0023] It is understandable that inspection entrustment information refers to the relevant instructions and data set for initiating inspection and testing work. It clarifies the object, purpose, and basic requirements of the inspection and testing, and is used to trigger the subsequent testing task generation process. There are two main sources: one is pending batching information from upstream business systems. Upstream business systems typically refer to the business processing systems at the forefront of the entire business process. They may generate task information (such as initial inspection instructions or re-inspection instructions) that needs further processing and allocation. For example, in a large steel plant, the raw material procurement department can act as an upstream business system, transmitting procurement information for different batches of iron ore as pending batching information. This information may include the origin of the iron ore (e.g., iron ore from different origins such as Australia and Brazil may differ in composition and quality), the procurement batch number (used to uniquely identify each batch of purchased iron ore for subsequent traceability and management), and the procurement quantity (accurate to the ton for reasonable allocation of inspection resources). The other source is entrustment information entered through the business system. The business system is a software system used to handle various business transactions. Users can manually input the relevant content of the inspection entrustment through the system's interface. For example, in a quality control scenario in a steel plant, the production department can enter the entrustment information for internal quality inspection of continuously cast billets through the business system, including the specifications of the continuously cast billets (such as specific cross-sectional dimensions, such as 200mm×200mm), the production furnace number (used to distinguish the continuously cast billets produced in different furnaces, because the process parameters of different furnaces may be different, and the quality may also be different), and the requirements for inspection items (such as whether it is necessary to inspect for defects such as cracks and segregation inside the continuously cast billets).

[0024] Furthermore, based on these received inspection commissions, specific testing tasks can be generated, specifying the items to be tested (e.g., for iron ore, testing key chemical components such as iron content, sulfur content, and phosphorus content; for continuously cast billets, testing internal quality indicators such as low-magnification microstructure and non-metallic inclusions), and requirements (including the selection of testing methods, such as using chemical analysis to test iron ore components and metallographic testing to test the internal microstructure of continuously cast billets; and the requirements for testing accuracy, such as controlling the error of iron content test results within ±0.5%). This provides clear guidance for subsequent scientific and accurate inspection and testing work.

[0025] In this disclosure, the upstream business system may include at least one of the following: a raw material end-to-end control system, a steelmaking dynamic control system, a steelmaking MES system, and a production and sales management system. The raw material end-to-end control system is primarily used to manage and monitor the entire process of raw materials from procurement to warehousing and use, ensuring the quality and supply stability of raw materials. For example, in steel production enterprises, this system can record supplier information, procurement quantity, delivery time, and quality inspection status of raw materials. The steelmaking dynamic control system focuses on real-time monitoring and adjustment of various parameters and indicators in the steelmaking process to ensure the stability and quality of molten iron production. For example, in the molten iron smelting process, this system can monitor the temperature, composition, and other indicators of molten iron in real time. The steelmaking MES system, or Manufacturing Execution System, is mainly used for the planning, scheduling, execution, and monitoring of the steelmaking production process, achieving refined management of the production process. For example, this system can arrange the steelmaking production sequence and monitor the operating status of steelmaking equipment. The production and sales management system is responsible for coordinating product sales and production plans, ensuring that products are produced and supplied according to market demand. For example, it adjusts the production quantity and delivery time of products based on market order conditions.

[0026] Accordingly, receiving inspection commission information may include: receiving raw material procurement, batch, and inspection batching information from the raw material end-to-end control system. Raw material procurement information covers the type, quantity, price, and supplier of the procured raw materials; batch information distinguishes raw materials from different times or sources; and inspection batching information specifies how to combine these raw materials for inspection. For example, the same type of raw material procured from the same supplier and within the same time period may be grouped into one batch for inspection. And / or receiving raw material, molten iron, or rapid analysis inspection instructions from the ironworks dynamic control system or steelmaking MES system. Raw material inspection instructions may involve quality inspection requirements for raw materials entering the ironworks or steelmaking process; molten iron inspection instructions specify the inspection requirements for various quality indicators of molten iron; and rapid analysis inspection instructions refer to instructions for rapid analysis and inspection, typically used to obtain key quality data in a timely manner during production. For example, in the molten iron smelting process, a rapid analysis inspection instruction may require a rapid analysis of the molten iron's composition every hour. And / or receive finished product batch, inspection standard, and testing item information from the production and sales management system; finished product batch information is used to identify products from different production batches, inspection standards specify the quality requirements that the product needs to meet, and testing item information details the various tests that need to be performed on the product. For example, for a certain steel product, the inspection standard may specify the acceptable range for its tensile strength, yield strength, and other indicators, and the testing item information includes the specific testing methods for these strength indicators.

[0027] In some other embodiments, before implementing full-process management of testing and inspection, testing resources can be allocated to samples upon their arrival in the laboratory. Experienced dispatchers can assign these resources according to predetermined rules, considering various factors such as the professional skills of the testing personnel. For example, if a testing personnel has long focused on steel composition analysis and possesses extensive experience and accurate judgment in the detection of various elements, they may be prioritized for allocation to the appropriate testing area when dealing with samples requiring complex composition analysis. The equipment configuration of the testing area will also be considered. If a testing area is equipped with an advanced metallurgical microscope, samples requiring microstructural analysis will be allocated to that area. The current workload of the testing personnel will also be taken into account to avoid an imbalance where one person is overworked while others are relatively idle. Furthermore, automatic allocation can be performed based on preset algorithms and rules. By collecting real-time information on the usage status of testing areas and the task progress of testing personnel or equipment, intelligent analysis can quickly and rationally allocate testing areas and personnel, making the entire testing process more efficient and orderly.

[0028] Furthermore, after allocation, the samples enter the registration and testing state, ready for registration. At this point, individual sample registration can be performed, suitable for special samples or samples requiring detailed individual information recording. For example, for samples with special process requirements or from important clients, staff will choose individual sample registration, carefully entering detailed information such as the sample's origin, production batch, and special requirements, ensuring every detail is accurately recorded. Simultaneously, for registering a large number of routine samples, batch sample registration can be used. Staff can select multiple sample instructions simultaneously, completing the registration operation for all selected instructions with a single click, greatly improving work efficiency. After registration, an internal laboratory serial number is automatically generated. This serial number acts as a unique identification for the sample, and will be used for accurate tracking and management in subsequent stages such as sample testing, storage, and report generation, ensuring that the information for each sample flows completely and accurately.

[0029] To enhance convenience during sample registration, barcode / QR code transfer can be supported. Laboratories can affix barcodes or QR codes containing sample information to sample containers or related documents. During registration, staff simply scan the barcodes or QR codes to quickly read the sample information and complete the registration. This allows for faster and more accurate inclusion of samples in the testing process, further improving the efficiency and accuracy of the entire testing workflow.

[0030] S102, Based on the detection task, a sampling instruction is generated and sent to the sampling execution terminal to trigger the sampling operation.

[0031] Specifically, a sampling instruction is a specific command used to guide sampling work, which may include detailed information such as the sampling location, sample quantity, and sampling method. Taking the steelmaking industry as an example, the sampling location is determined based on the characteristics and testing requirements of each stage of steel production. For instance, in the ironmaking stage, the blast furnace taphole is a common location for sampling molten iron, as this location can obtain molten iron that has just flowed out of the blast furnace and has not undergone further processing, accurately reflecting the initial results of blast furnace smelting. In the steelmaking stage, the converter furnace area is a key location for sampling molten steel, allowing for real-time monitoring of the dynamic changes in the composition of molten steel during the steelmaking process. The sampling quantity is determined comprehensively based on the accuracy requirements of the testing items, the representativeness of the sample, and the subsequent analytical methods. For iron ore samples, if it is necessary to test the content of multiple trace elements, 500 grams are usually sampled to ensure the accuracy of the test results; for continuously cast billet samples, when testing their internal microstructure, 200 grams are sufficient to meet the analytical requirements. Sampling methods vary depending on the sample state and the purpose of testing. For liquid samples such as molten iron, an insertion sampler is used. The sampler is quickly inserted into the molten iron and then pulled out smoothly after it is full, avoiding excessive contact between the sample and air, which could lead to changes in composition. For solid samples such as steel ingots, a cutting method is used. The steel ingot is first precisely marked to determine the sampling location and size, and then a representative part is cut out as a sample using professional cutting equipment.

[0032] Understandably, the sampling execution end refers to the personnel or equipment units that actually perform the sampling operations. In the production scenario of a steel plant, the sampling execution end includes professional sampling workers who have undergone systematic training and are familiar with the steel production process and sampling technical specifications. For example, when sampling molten iron in a blast furnace, the sampling workers strictly follow the sampling instructions, wear high-temperature resistant and splash-proof protective equipment, arrive at the designated tapping location, and use standard sampling tools to accurately collect molten iron samples, ensuring the integrity and representativeness of the samples. In the rolling mill, for rolled steel, sampling workers will take samples from different parts of the steel according to instructions, such as the head, middle, and tail, to comprehensively test the mechanical properties, dimensional accuracy, and other indicators of the steel. In addition, with the increasing automation of steel plants, some automated sampling equipment is also widely used. Automated sampling robots can accurately cut and sample according to the set sampling positions and sizes, and can also record relevant sampling information, such as sampling time and location, to facilitate subsequent quality traceability and management. For example, on a continuous casting production line, automated sampling robots can precisely cut samples from the continuously cast billet according to instructions. These automated devices, through preset programs and precise mechanical structures, standardize and automate the sampling process, reduce the interference of human factors on the sampling results, and improve sampling efficiency and accuracy.

[0033] For example, due to the numerous production stages in a steel plant, the characteristics of samples and testing requirements vary significantly across different stages. Therefore, targeted sampling instructions can be generated based on specific circumstances. To this end, this disclosure proposes a sampling instruction generation method, which involves generating target sampling carrier unit information corresponding to the testing task based on preset batching rules and the testing task, and determining the sampling instruction based on the testing task and the target sampling carrier unit information. The sampling instruction is then sent to the sampling execution terminal to enable manual or automated sampling operations to obtain the original sample. Here, the preset batching rules can be formulated based on factors such as sample type, production batch, and testing items to ensure the rationality and efficiency of sampling. For example, iron ore samples from the same production batch with the same testing items can be grouped together for sampling to avoid duplicate sampling and resource waste. For samples of different types but with high testing correlation, such as molten iron samples from the ironmaking stage and molten steel samples from the initial steelmaking stage, when assessing the quality transformation from raw materials to semi-finished products, reasonable batching can also be used to improve testing efficiency and the consistency of quality control. The target sampling carrier information can be either a train or a truck. When the target sampling location is far from the steel plant and the amount of samples to be transported is large, the train, with its advantages of large capacity and long-distance transportation, can serve as the main sampling carrier, capable of transporting a large number of samples from different stages at once, ensuring that the samples are delivered to the testing location in a timely and complete manner. When the sampling location is relatively close, or the amount of samples is relatively small and the timeliness of transportation is critical, a truck is more flexible and convenient. It can quickly reach various sampling points and rapidly transfer the samples to the testing department, reducing the waiting time of the samples during transportation and ensuring the timely conduct of testing.

[0034] Furthermore, after obtaining the original sample, since its morphology and properties may not be suitable for direct detection, it needs to be processed accordingly, referring to... Figure 2 As shown, it may also include the following steps S201~S203: S201, Generate a sample preparation instruction corresponding to the original sample.

[0035] Here, the sample preparation instruction specifies the methods, steps, and standards for sample preparation based on the characteristics of the original sample and the testing requirements. For example, for some solid samples that need to be crushed, the sample preparation instruction will specify the particle size requirements for crushing; for samples that need to be dissolved, the dissolution reagents and conditions will be specified.

[0036] S202, when the sample preparation instruction indicates that the original sample is a direct test sample that does not require processing, the original sample is directly used as a test sample for data detection.

[0037] Specifically, when the sample preparation instruction specifies that the original sample is a direct test sample that requires no processing, the original sample can be directly used as the test sample for data detection. This is typically applicable to samples that already meet the testing requirements, such as samples that have reached a suitable state at the time of sampling and can be directly tested to improve testing efficiency.

[0038] S203, when the sample preparation instruction indicates that the original sample is an indirect test sample that needs to be processed, the original sample is processed by the automatic sample preparation machine to obtain a sample sample, and the sample sample is subjected to data detection.

[0039] Specifically, when the sample preparation instruction indicates that the original sample is an indirect test sample requiring processing, an automatic sample preparation machine can be used to process the original sample to obtain a sample specimen, and then perform data testing on the sample specimen. Here, the automatic sample preparation machine is a key piece of equipment for achieving automated sampling and sample preparation in steel production. It can take samples from different stages of the steel production process according to preset programs and parameters, and prepare the samples into a form suitable for testing. The sample processing may include operations such as crushing, grinding, dissolving, and filtering, with the aim of transforming the original sample into a form suitable for testing. For example, for solid ore samples, they need to be crushed and ground into powder of a certain particle size for chemical composition analysis. By testing the sample specimen, accurate test data can be obtained.

[0040] S103, receive test data associated with the sample taken by the sampling execution terminal.

[0041] Specifically, the test data comes from two sources. First, it comes from testing equipment that automatically uploads data through a unified data acquisition platform. This platform integrates multiple data sources and can seamlessly connect and interact with various testing devices. In steel plants, there are numerous types of testing equipment covering multiple production stages and testing items. For example, in the ironmaking process, a blast furnace gas analyzer is an important testing device that can monitor the content of components such as carbon monoxide, carbon dioxide, and hydrogen in blast furnace gas in real time. Changes in these components reflect the progress of combustion and reduction reactions within the blast furnace, which is crucial for adjusting blast furnace operating parameters and improving iron production and quality. The blast furnace gas analyzer automatically uploads the detected data through the unified data acquisition platform, ensuring the timeliness and accuracy of the data. In the steelmaking process, a direct-reading spectrometer is a commonly used testing device. It can rapidly analyze multiple elements in molten steel, such as carbon, silicon, manganese, phosphorus, and sulfur. The content of these elements directly affects the chemical composition and properties of molten steel. Data detected and uploaded by a direct-reading spectrometer can help steelworkers adjust the amount of alloy added in a timely manner to ensure that the molten steel meets the expected chemical composition requirements.

[0042] Secondly, some inspection data may also be entered manually. In some special cases, such as when older testing equipment cannot be directly connected to a unified data acquisition platform, or when certain special testing items are required, it is necessary to manually enter the test data into the system. For example, for the surface quality inspection of some steel products, it may be necessary to manually observe and judge using tools such as magnifying glasses and microscopes, and then record the test results before entering them into the system. Although manual entry is relatively inefficient and may be subject to certain human errors, it remains an important supplementary means of obtaining some inspection data under current technological conditions.

[0043] In some possible embodiments, the method of receiving inspection data varies depending on the type of sampling execution end. On the one hand, when the sampling execution end is a manually operated terminal, since it lacks the function of automatic data collection, it is necessary to rely on an input terminal to manually enter the inspection data. For example, when inspecting the surface of steel products, personnel need to carefully observe the product surface for defects such as cracks, pores, and inclusions using tools such as magnifying glasses and microscopes, and judge whether the surface quality of the product is qualified based on the observation results. At this time, the inspector will use an input terminal, such as a handheld device with a keyboard and screen, to manually enter the observed defects, product number, inspection time, and other information one by one. Here, for some high-end special steels, the surface quality requirements are extremely high, and the meticulous observation and accurate judgment of professionals can more comprehensively assess whether the product meets the standards.

[0044] On the other hand, when the sampling execution end is an automatic sample preparation machine, the acquisition of test data is automatically performed by the unified data acquisition platform from the testing equipment corresponding to the sample taken by the sampling execution end. The testing equipment connected to the automatic sample preparation machine, such as a direct-reading spectrometer or X-ray fluorescence spectrometer, will test the prepared sample and generate corresponding test data. The unified data acquisition platform plays a crucial role in this process. It supports multiple communication protocols, including RS232, TCP / IP, message, and database communication. Among them, RS232 is a commonly used serial communication protocol, suitable for short-distance, low-speed data transmission, and may still be used in some older testing equipment; TCP / IP is a network-based communication protocol that can achieve long-distance, high-speed data transmission, suitable for connecting testing equipment to a unified data acquisition platform located in different areas; message communication can transmit data through specific message formats, which is simple and efficient, and is often used in data transmission scenarios with high real-time requirements; database communication allows the unified data acquisition platform to directly read data from the database of the testing equipment, ensuring data integrity and consistency. By supporting multiple communication protocols through a unified data acquisition platform, it is possible to seamlessly connect with testing equipment of different types and eras, automatically collect the test data generated by the testing equipment, improve the efficiency and accuracy of data acquisition, and reduce errors that may be caused by manual intervention.

[0045] In some possible embodiments, when receiving test data associated with the sample taken by the sampling execution terminal, data preprocessing operations such as filtering, noise reduction, and normalization can be performed to improve data quality, without specific limitations.

[0046] This embodiment of the disclosure introduces a unified data acquisition platform, enabling automatic collection and real-time uploading of test data. This fundamentally avoids potential errors, data tampering, and time delays that may occur during manual observation, transcription, and entry, greatly improving the accuracy, authenticity, and timeliness of the data. Simultaneously, it breaks down the "information silos" between testing equipment and the quality management system, allowing data from the entire process from sampling and sample preparation to testing to automatically converge on a unified platform. This provides a complete, coherent, and traceable data chain for subsequent intelligent review and report generation.

[0047] S104, perform data review and judgment on the inspection data to obtain data judgment results; and automatically generate a data result report based on the data judgment results, and send the data result report to the downstream business system.

[0048] Understandably, in industrial production processes, inspection data is crucial information for evaluating product quality and guiding subsequent production. Therefore, upon receiving the inspection data, the data review and judgment stage can begin. This stage requires a comprehensive analysis and evaluation of the inspection data to ensure its accuracy and reliability.

[0049] Here, refer to Figure 3 As shown, this disclosure proposes a data audit and judgment method, which may include the following steps S301~S302: S301, compare the test data with a preset quality standard threshold, and when there is a case in the test data that exceeds the preset quality standard threshold, issue an over-limit warning for the data that exceeds the preset quality standard threshold.

[0050] It is understandable that different material types and inspection items correspond to different quality standard thresholds. For example, in steel production, the chemical composition and mechanical properties of steel for different uses all have specific threshold ranges. Here, preset quality standard thresholds can be set based on procurement standards, available standards, or custom warning values. Furthermore, preset quality standard thresholds can be configured and maintained according to different material types and inspection items. Among them, procurement standards are based on contractual requirements with suppliers to ensure that raw materials meet production needs; available standards are based on the perspective of the final use of the product to ensure that product performance meets standards; and custom warning values ​​are set according to the company's production experience and special requirements for product quality.

[0051] Here, when any data in the inspection data exceeds the preset quality standard threshold, an over-limit warning is issued. Warning methods may include pop-up notifications, emails, or text messages sent to relevant personnel. Pop-up notifications can be displayed directly on the data review system's interface, reminding reviewers to pay attention to abnormal data. Sending emails or text messages ensures that relevant personnel receive the warning information immediately, regardless of whether they are physically present at the interface.

[0052] In some possible implementations, if a required item in the inspection data is empty, an alert or a highlighted background can be used to prompt the relevant personnel. For example, when recording the inspection batch number of steel, if the field is empty, the record can be highlighted in the data list, and an alert sound or a pop-up prompt can be emitted to remind the reviewer to complete the information.

[0053] S302, automatically round the inspection data; and provide a manual confirmation function on the data review interface, when an over-limit warning or data abnormality occurs, receive manual review comments, and correct or confirm the data based on the manual review comments to complete the final judgment.

[0054] Specifically, automatic rounding refers to approximating data according to mathematical rules to make it conform to data recording and reporting standards. For example, when recording the chemical composition of steel, a certain number of decimal places need to be retained, and the automatic rounding function can round the original data according to preset rules; in chemical analysis, the content of a certain element may be measured to multiple decimal places, while the report requires two decimal places, and the automatic rounding function will process the data according to specific rules.

[0055] In some possible implementations, different rounding methods are suitable for different data scenarios and accuracy requirements. Data can also be automatically rounded according to the "round to the nearest even or odd" rule; or rounded according to specific significant digit rules, such as retaining three significant digits, without specific limitations here.

[0056] Here, the data review interface proposed in this disclosure also provides a manual confirmation function. When an out-of-limit warning or data anomaly occurs, manual review comes into play. Reviewers can view the abnormal data and contextual information on the interface, and provide review opinions based on their professional knowledge and experience. After receiving the manual review opinions, they correct or confirm the data according to the opinions, completing the final judgment. If the reviewer believes that the out-of-limit data is caused by a temporary malfunction of the testing equipment and the retest is normal, the original data can be corrected; if it is confirmed that the data does exceed the limit, the out-of-limit warning is maintained and processed according to the procedure. Finally, based on the accurate data judgment result, a data result report can be automatically generated and sent to downstream business systems, providing data support for production management, quality control, sales decisions, etc. In this way, data review can be automated and efficient, leveraging the professionalism and flexibility of manual review, and ensuring the accuracy and reliability of data judgment results.

[0057] Understandably, after data review and judgment, a data judgment result can be obtained, such as either sample testing qualified or sample testing unqualified. If the test data meets the product standards and relevant requirements, the judgment result is qualified; otherwise, it is unqualified. Furthermore, based on the data judgment result, a data result report can be automatically generated. The data result report is a detailed document recording the test data, judgment results, and related analyses, presented in a standardized format for easy access and processing by downstream business systems. For example, the report will clearly list the sample name, specifications, test items, test data, judgment results, etc., and will also highlight and analyze unqualified data, proposing possible improvement suggestions. Here, downstream business systems include at least one of the following: ironmaking control system, production and manufacturing system, and business decision-making system. The ironmaking control system can adjust the proportion and usage plan of ironmaking raw materials based on the data in the report to improve the quality and output of molten iron; the production and manufacturing system can monitor and adjust the production process in real time based on the report to ensure product quality stability; and the business decision-making system can use the data in the report to assess the impact of product quality on market sales and formulate reasonable sales strategies and pricing systems. After the data results report is transmitted to these downstream business systems, each system can carry out corresponding work based on the report content, thereby optimizing the production process and improving product quality.

[0058] The automatic data result report generation function can also design a report form according to the report form style provided by the laboratory. After all the data is completed, users can select the report items and provide users with a standardized and clear report in the form of a printed report, which meets the needs of different users for report format.

[0059] In some possible embodiments, more relevant information may be incorporated into the data results report when generating it to enhance the report's usability and comprehensiveness. (See also...) Figure 4 As shown, when automatically generating a data result report based on the data judgment results, the following steps S401~S402 may also be included: S401, Based on historical inspection data, perform trend prediction on the test data to generate a quality trend chart.

[0060] Specifically, by analyzing and mining a large amount of historical inspection data, and using appropriate statistical methods and predictive models, such as time series analysis and regression analysis, the changing trend of inspection data over a future period can be predicted. Here, a quality trend chart can provide early warnings of quality risks for the production department, enabling timely adjustments and improvements to avoid large-scale quality problems. For example, for a key quality indicator of a product, analyzing inspection data from the past few months and creating a quality trend chart can more intuitively show whether the indicator is trending upwards, downwards, or remaining stable.

[0061] S402, combining environmental temperature and humidity data, analyzes the operating status of the testing equipment, and automatically generates the data result report based on the analysis results, the quality trend chart, the inspection data, and the data judgment results.

[0062] Understandably, ambient temperature and humidity have a significant impact on the operational stability and accuracy of testing equipment. For example, in high humidity environments, some electronic testing equipment may experience short circuits or data fluctuations; while in high-temperature environments, the equipment's sensors may produce errors. By collecting and analyzing ambient temperature and humidity data, the operating status of testing equipment under different environmental conditions can be assessed, and it can be determined whether the test data is interfered with by environmental factors. By integrating the results of ambient temperature and humidity analysis, quality trend charts, inspection data, and data judgment results, the generated data results report can more comprehensively and accurately reflect the product's quality status and the reliability of the testing process.

[0063] This not only provides more valuable reference for production management, but also helps companies to identify problems with testing equipment and the environment in a timely manner, and take corresponding measures to improve and optimize them, thereby improving the overall quality management level.

[0064] In some other embodiments, if a test cancellation instruction is received during the sample inspection and testing process (via telephone or other non-system means), a termination operation can be performed on the instruction processing screen, and no further operation is allowed after the termination instruction; if a test cancellation instruction is received after instruction registration, the termination operation should be completed on the sample entrustment form query screen; here, the sample termination function is only available to privileged users.

[0065] Meanwhile, the system corresponding to the sample inspection and testing management method proposed in this disclosure also has multiple functions: it supports comprehensive data query, allowing users to specify conditions such as sample number range, testing time period, specific testing items, etc., to retrieve the required data; it has a sample progress management function, which can query the progress status of each sample, covering statuses such as registered, processed, tested, reviewed, sent, and terminated, facilitating staff to keep abreast of sample dynamics and rationally arrange subsequent work; it supports a data retransmission function, which can resend the sent data when data transmission is abnormal or the recipient does not receive the data, ensuring accurate delivery; it provides a data export function, allowing all performance data to be exported to EXCEL, facilitating further data analysis, statistics, and report generation; it has a data backup function, which backs up historical data that has been stored for a long time to the system's historical database to save online response time and ensure the secure storage of historical data; and it has a historical data query function, which can query performance data that has been transferred to the historical data table, providing a strong basis for quality traceability, problem analysis, and decision-making. In addition, the design of the real-time database and the historical database fully considers the timeliness of the data and the efficiency of the query. The real-time database is responsible for quickly storing and processing the current detection data to ensure the real-time nature and accuracy of the data, while the historical database is used for long-term storage and management of historical data. By optimizing the storage structure and indexing algorithm, the query speed of historical data is improved.

[0066] In some other embodiments, the samples can also be precision managed, and the A, B, and C samples can be registered, entered, reviewed and sent to meet the laboratory's management requirements for personnel sampling, standard sample verification and sample method comparison. No specific limitations are made here.

[0067] In some possible embodiments, to ensure that users can apply the relevant functions in real time, the system corresponding to the sample inspection and testing management method proposed in this disclosure also supports the mobile APP application function of the full-process quality control system. This function can realize the real-time reception of inspection vehicle information and automatic judgment of inspection information from the system, while supporting process control and approval of the inspection and testing process and result query. It mainly covers two aspects: First, the real-time mobile processing of testing business allows users to execute inspection tasks in real time through the mobile terminal APP, keep track of the execution status at any time, understand the dynamics of the review or approval process, and then confirm the next task to be executed, thereby responding to business needs quickly and conveniently; Second, the mobile information query allows users to track the inspection and testing status in real time, and through the system query function of the mobile APP, authorized personnel can view the relevant content in real time after the inspection and testing report is issued.

[0068] In some other embodiments, the system corresponding to the sample inspection and testing management method proposed in this disclosure can also be applied to different technical fields. For example, in the field of scrap steel, it can also support a mobile APP application function for full-process quality control of scrap steel samples. During scrap steel inspection, users can receive information about the vehicle transporting the scrap steel for inspection, such as the vehicle number and the type of scrap steel loaded. The automatic judgment system judges the inspection information such as composition, impurities, and size of the scrap steel sample according to the set scrap steel quality standards. The scrap steel inspection and testing process involves sampling, sample preparation, testing, and review, and also supports process control approval, clarifying the responsibilities of each link. Users can check the approval progress through the mobile APP. In terms of result query, it includes detailed data of scrap steel sample inspection, such as the content values ​​of each component and quality grade. Authorized personnel can query the results through the mobile APP after the report is issued. It mainly covers two aspects: First, the real-time mobile processing of scrap steel testing. Inspectors can use a mobile app to perform scrap steel testing tasks in real time, whether at the scrap steel receiving site or in the laboratory. This allows them to monitor task execution, understand the status of the review or approval process at each stage of the scrap steel testing, such as the test results, and confirm the next steps in scrap steel processing, such as warehousing qualified scrap steel and removing unqualified scrap steel. Second, mobile scrap steel information query. Users can use the mobile app to track the entire testing and inspection process from scrap steel sample collection to report generation, obtaining scrap steel quality information and providing a basis for scrap steel utilization and trading.

[0069] To better understand the quality data management method for the entire inspection and testing process provided in this disclosure, the following will be combined with... Figure 5 The overall process of this plan is described in detail. (Refer to...) Figure 5As shown, in the entire testing and inspection process, the business department first initiates a commission application (i.e., testing commission information) based on the testing standards and sends it to the management department. After receiving the commission, the management department reviews the task based on the sample template. After the review is passed, the management department generates the work task. Next, the sample processing stage begins: the business department sends the sample to the processing department or the laboratory. The processing department first determines whether processing is required. If processing is required, it receives the sample and formulates the processing task, then performs machining, and then performs sample splitting / encryption operations as needed. If the sample needs to be retained after splitting / encryption, sample retention management is implemented, and finally, the data is released; if no processing is required, the sample is directly transferred to the next stage. For the laboratory, it first determines whether testing is required. If testing is required, it receives the sample and conducts analysis and testing, collects data, then verifies the data. If the data verification is correct, a test prediction is made. If the sample value is abnormal, an alarm is triggered; if it is normal, the data is reviewed, and finally, the data is released. Regarding the management department, if a sample fails the sample acceptance process, the relevant procedures must be reprocessed. If it passes, the business department uploads the data, the management department decrypts the sample, and then compiles and publishes a report through report management. Simultaneously, the business department confirms the data upon receipt. If the client objects, the data must be reprocessed; otherwise, the entire process of the application for commission is closed, ultimately achieving sample tracking management and ensuring effective management and monitoring of quality data throughout the entire testing and inspection process.

[0070] The method, system, device, and medium for managing the quality data of the entire inspection and testing process provided in this embodiment of the present disclosure reduce manual intervention and waiting time at each stage by automatically generating testing tasks, sampling instructions, and data result reports, thereby realizing automated and standardized management of the quality data of the entire inspection and testing process.

[0071] Those skilled in the art will understand that, in the above-described method of the specific implementation, the order in which each step is written does not imply a strict execution order and does not constitute any limitation on the implementation process. The specific execution order of each step should be determined by its function and possible internal logic.

[0072] Based on the same inventive concept, this disclosure also provides a quality data management system for the entire inspection and testing process corresponding to the method for managing quality data throughout the entire inspection and testing process. Since the principle of the system in this disclosure for solving problems is similar to the above-mentioned method for managing quality data throughout the entire inspection and testing process, the implementation of the system can refer to the implementation of the method, and the repeated parts will not be described again.

[0073] Reference Figure 6 The diagram shown is a schematic representation of a quality data management system for the entire inspection and testing process provided in this embodiment of the present disclosure. The system includes: The upstream interface module is used to interface with at least one upstream business system and receive inspection entrustment information containing information to be batched or directly entrusted information. The task scheduling engine, connected to the upstream interface module, is used to parse the inspection entrustment information and generate the detection task and sampling instructions corresponding to the inspection entrustment information; The instruction execution interaction module is connected to the task scheduling engine and is used to send the sampling instruction to the sampling execution terminal to drive the sampling operation. The data aggregation module is used to automatically collect test data from the testing equipment through a unified data acquisition platform, or to receive manually entered test data through an input terminal. The test data is associated with the samples obtained from the sampling operation. The intelligent review module, connected to the data aggregation module, is used to review and judge the inspection data to obtain the data judgment result. The report generation and distribution engine, connected to the intelligent audit module, is used to automatically generate data result reports based on the data judgment results, and push the reports to the designated downstream business systems through the downstream interface module.

[0074] Based on the same inventive concept, this disclosure also provides a testing and inspection process quality data management device corresponding to the testing and inspection process quality data management method. Since the principle of the device in this disclosure for solving the problem is similar to the testing and inspection process quality data management method described above, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be described again.

[0075] Reference Figure 7 The diagram shown is a schematic of a quality data management device 700 for the entire inspection and testing process provided in this embodiment of the present disclosure. The device includes: The task generation module 701 is used to receive inspection entrustment information and generate testing tasks based on the inspection entrustment information; wherein, the inspection entrustment information includes batching information from the upstream business system or entrustment information entered through the business system; The sampling triggering module 702 is used to generate a sampling instruction according to the detection task and send it to the sampling execution terminal to trigger the sampling operation; The data receiving module 703 is used to receive test data associated with the sample taken by the sampling execution terminal; wherein the test data comes from the testing equipment automatically uploaded through the unified data acquisition platform, or from the manually entered data from the input terminal. The report generation module 704 is used to review and judge the inspection data to obtain the data judgment result; and based on the data judgment result, automatically generate a data result report and send the data result report to the downstream business system.

[0076] In some possible embodiments, the upstream business system includes at least one of a raw material end-to-end control system, an iron ore field dynamic control system, a steelmaking MES system, and a production and sales management system; the task generation module 701 is specifically used for: Receive raw material procurement, batch, and inspection group batch information from the raw material end-to-end control system; and / or Receive raw material, molten iron, or rapid separation inspection instructions from the aforementioned iron ore zone dynamic control system or steelmaking MES system; and / or Receive finished product batches, inspection standards, and testing items from the production and sales management system.

[0077] In some possible embodiments, the sampling triggering module 702 is specifically used for: Based on the preset batching rules and the detection task, a sampling instruction is generated, which includes the target sampling carrier unit information; and the sampling instruction is sent to the sampling execution terminal to perform the sampling operation and obtain the original sample; wherein, the sampling execution terminal includes a manual operation terminal or an automatic sampling machine; The data receiving module 703 is also used for: Generate a sample preparation instruction corresponding to the original sample; When the sample preparation instruction indicates that the original sample is a direct test sample that does not require processing, the original sample is directly used as the test sample for data detection. When the sample preparation instruction indicates that the original sample is an indirect test sample that needs to be processed, the automatic sample preparation machine is used to process the original sample to obtain a sample specimen, and the sample specimen is subjected to data detection.

[0078] In some possible embodiments, the data receiving module 703 is specifically used for: When the sampling execution terminal is a manually operated terminal, it receives test data manually entered through the input terminal; When the sampling execution end is an automatic sample preparation machine, data is automatically collected from the detection device corresponding to the sample taken by the sampling execution end through the unified data acquisition platform; wherein, the unified data acquisition platform supports multiple communication protocols, including RS232, TCP / IP, message and database communication methods.

[0079] In some possible embodiments, the report generation module 704 is specifically used for: The inspection data is compared with a preset quality standard threshold. When any of the inspection data exceeds the preset quality standard threshold, an over-limit warning is issued for the data exceeding the preset quality standard threshold. The preset quality standard threshold is set based on procurement standards, available standards, or custom warning values, and can be configured and maintained according to different material types and inspection items. The test data is automatically rounded; and a manual confirmation function is provided on the data review interface. When an over-limit warning or data anomaly occurs, manual review comments are received, and the data is corrected or confirmed based on the manual review comments to complete the final judgment.

[0080] In some possible embodiments, the report generation module 704 is specifically used for: Based on historical inspection data, the test data is trend-predicted to generate a quality trend chart. By combining environmental temperature and humidity data, the operating status of the testing equipment is analyzed, and based on the analysis results, the quality trend chart, the test data, and the data judgment results, the data result report is automatically generated. The data results report is sent to at least one of the downstream business systems in the ironmaking control system, production and manufacturing system, and business decision-making system.

[0081] Based on the same technical concept, this disclosure also provides a computer device. (See also...) Figure 8 The diagram shows the structure of a computer device 800 provided in this embodiment of the present disclosure, including a processor 801, a memory 802, and a bus 803. The memory 802 stores execution instructions and includes a main memory 8021 and an external memory 8022. The main memory 8021, also called internal memory, is used to temporarily store computational data in the processor 801 and data exchanged with external memory 8022 such as a hard disk. The processor 801 exchanges data with the external memory 8022 through the main memory 8021.

[0082] In this embodiment, the memory 802 is specifically used to store application code that executes the solution of this application, and its execution is controlled by the processor 801. That is, when the computer device 800 is running, the processor 801 communicates with the memory 802 through the bus 803, so that the processor 801 executes the application code stored in the memory 802, and then executes the method described in any of the foregoing embodiments.

[0083] The memory 802 may be, but is not limited to, random access memory (RAM), read-only memory (ROM), programmable read-only memory (PROM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), etc.

[0084] Processor 801 may be an integrated circuit chip with signal processing capabilities. The aforementioned processor can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), etc.; it can also be a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Field Programmable Gate Array (FPGA), or other programmable logic devices, discrete gate or transistor logic devices, or discrete hardware components. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this invention. The general-purpose processor can be a microprocessor or any conventional processor.

[0085] It is understood that the structures illustrated in the embodiments of this application do not constitute a specific limitation on the computer device 800. In other embodiments of this application, the computer device 800 may include more or fewer components than illustrated, or combine some components, or split some components, or have different component arrangements. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

[0086] This disclosure also provides a computer-readable storage medium storing a computer program. When executed by a processor, the computer program performs the steps of the inspection and testing process quality data management method described in the above-described method embodiments. The storage medium can be a volatile or non-volatile computer-readable storage medium.

[0087] This disclosure also provides a computer program product carrying program code. The program code includes instructions that can be used to execute the steps of the inspection and testing full-process quality data management method described in the above method embodiments. For details, please refer to the above method embodiments, which will not be repeated here.

[0088] The aforementioned computer program product can be implemented through hardware, software, or a combination thereof. In one optional embodiment, the computer program product is specifically embodied in a computer storage medium; in another optional embodiment, the computer program product is specifically embodied in a software product, such as a software development kit (SDK), etc.

[0089] Those skilled in the art will clearly understand that, for the sake of convenience and brevity, the specific working processes of the systems and devices described above can be referred to the corresponding processes in the foregoing method embodiments, and will not be repeated here. In the several embodiments provided in this disclosure, it should be understood that the disclosed systems and methods can be implemented in other ways. The device embodiments described above are merely illustrative. For example, the division of units is only a logical functional division; in actual implementation, there may be other division methods. Furthermore, multiple units or components may be combined or integrated into another system, or some features may be ignored or not executed. Another point is that the displayed or discussed mutual coupling or direct coupling or communication connection may be through some communication interfaces; the indirect coupling or communication connection of devices or units may be electrical, mechanical, or other forms.

[0090] The units described as separate components may or may not be physically separate. The components shown as units may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the units can be selected to achieve the purpose of this embodiment according to actual needs.

[0091] In addition, the functional units in the various embodiments of this disclosure can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit.

[0092] If the aforementioned functions are implemented as software functional units and sold or used as independent products, they can be stored in a processor-executable, non-volatile, computer-readable storage medium. Based on this understanding, the technical solution of this disclosure, in essence, or the part that contributes to the prior art, or a portion of the technical solution, can be embodied in the form of a software product. This computer software product is stored in a storage medium and includes several instructions to cause a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in the various embodiments of this disclosure. The aforementioned storage medium includes various media capable of storing program code, such as USB flash drives, portable hard drives, read-only memory (ROM), random access memory (RAM), magnetic disks, or optical disks.

[0093] Finally, it should be noted that the above-described embodiments are merely specific implementations of this disclosure, used to illustrate the technical solutions of this disclosure, and not to limit it. The protection scope of this disclosure is not limited thereto. Although this disclosure has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that any person skilled in the art can still modify or easily conceive of changes to the technical solutions described in the foregoing embodiments, or make equivalent substitutions for some of the technical features, within the scope of the technology disclosed in this disclosure. Such modifications, changes, or substitutions do not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this disclosure, and should all be covered within the protection scope of this disclosure. Therefore, the protection scope of this disclosure should be determined by the protection scope of the claims.

Claims

1. A method for managing quality data throughout the entire inspection and testing process, characterized in that, include: Receive inspection request information; The testing task is generated based on the testing entrustment information; wherein, the testing entrustment information includes batching information from the upstream business system or entrustment information entered through the business system; Based on the detection task, a sampling instruction is generated and sent to the sampling execution terminal to trigger the sampling operation; Receive test data associated with the sample taken by the sampling execution terminal; wherein the test data comes from the testing equipment automatically uploaded through the unified data acquisition platform, or from the manually entered data from the input terminal; The inspection data is reviewed and judged to obtain a data judgment result; and based on the data judgment result, a data result report is automatically generated and sent to the downstream business system.

2. The method according to claim 1, characterized in that, The upstream business system includes at least one of the following: a raw material full-process control system, a steelmaking MES system, and a production and sales management system; the receipt of inspection entrustment information includes: Receive raw material procurement, batch, and inspection group batch information from the raw material end-to-end control system; and / or Receive raw material, molten iron, or rapid separation inspection instructions from the aforementioned iron ore zone dynamic control system or steelmaking MES system; and / or Receive finished product batches, inspection standards, and testing items from the production and sales management system.

3. The method according to claim 2, characterized in that, The step of generating a sampling instruction and sending it to the sampling execution terminal according to the detection task includes: Based on the preset batching rules and the detection task, a sampling instruction is generated, which includes the target sampling carrier unit information; and the sampling instruction is sent to the sampling execution terminal to perform the sampling operation and obtain the original sample; wherein, the sampling execution terminal includes a manual operation terminal or an automatic sampling machine; Before receiving the test data associated with the sample taken by the sampling execution terminal, the process includes: Generate a sample preparation instruction corresponding to the original sample; When the sample preparation instruction indicates that the original sample is a direct test sample that does not require processing, the original sample is directly used as the test sample for data detection. When the sample preparation instruction indicates that the original sample is an indirect test sample that needs to be processed, the automatic sample preparation machine is used to process the original sample to obtain a sample specimen, and the sample specimen is subjected to data detection.

4. The method according to claim 3, characterized in that, The receiving of test data associated with the sample taken by the sampling execution terminal includes: When the sampling execution terminal is a manually operated terminal, it receives test data manually entered through the input terminal; When the sampling execution end is an automatic sample preparation machine, data is automatically collected from the detection device corresponding to the sample taken by the sampling execution end through the unified data acquisition platform; wherein, the unified data acquisition platform supports multiple communication protocols, including RS232, TCP / IP, message and database communication methods.

5. The method according to claim 1, characterized in that, The data review and judgment of the test data includes: The inspection data is compared with a preset quality standard threshold. When any of the inspection data exceeds the preset quality standard threshold, an over-limit warning is issued for the data exceeding the preset quality standard threshold. The preset quality standard threshold is set based on procurement standards, available standards, or custom warning values, and can be configured and maintained according to different material types and inspection items. The test data is automatically rounded; and a manual confirmation function is provided on the data review interface. When an over-limit warning or data anomaly occurs, manual review comments are received, and the data is corrected or confirmed based on the manual review comments to complete the final judgment.

6. The method according to claim 1, characterized in that, The automatic generation of a data result report based on the data determination result also includes: Based on historical inspection data, the test data is trend-predicted to generate a quality trend chart. By combining environmental temperature and humidity data, the operating status of the testing equipment is analyzed, and based on the analysis results, the quality trend chart, the test data, and the data judgment results, the data result report is automatically generated. The data results report is sent to at least one of the downstream business systems in the ironmaking control system, production and manufacturing system, and business decision-making system.

7. A quality data management system for the entire inspection and testing process, characterized in that, include: The upstream interface module is used to interface with at least one upstream business system and receive inspection entrustment information containing information to be batched or directly entrusted information. The task scheduling engine, connected to the upstream interface module, is used to parse the inspection entrustment information and generate the detection task and sampling instructions corresponding to the inspection entrustment information; The instruction execution interaction module is connected to the task scheduling engine and is used to send the sampling instruction to the sampling execution terminal to drive the sampling operation. The data aggregation module is used to automatically collect test data from the testing equipment through a unified data acquisition platform, or to receive manually entered test data through an input terminal. The test data is associated with the samples obtained from the sampling operation. The intelligent review module, connected to the data aggregation module, is used to review and judge the inspection data to obtain the data judgment result. The report generation and distribution engine, connected to the intelligent audit module, is used to automatically generate data result reports based on the data judgment results, and push the reports to the designated downstream business systems through the downstream interface module.

8. A device for managing quality data throughout the entire inspection and testing process, characterized in that, include: The task generation module is used to receive inspection commission information; The testing task is generated based on the testing entrustment information; wherein, the testing entrustment information includes batching information from the upstream business system or entrustment information entered through the business system; The sampling triggering module is used to generate a sampling instruction based on the detection task and send it to the sampling execution terminal to trigger the sampling operation; The data receiving module is used to receive test data associated with the sample taken by the sampling execution terminal; wherein the test data comes from the testing equipment automatically uploaded through the unified data acquisition platform, or from the manually entered data from the input terminal. The report generation module is used to review and judge the inspection data to obtain the data judgment result; and based on the data judgment result, automatically generate a data result report and send the data result report to the downstream business system.

9. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by a processor, it implements the method of any one of claims 1 to 6.

10. A computer device, comprising a storage medium, a processor, and a computer program stored on the storage medium and executable on the processor, characterized in that, When the processor executes the computer program, it implements the method of any one of claims 1 to 6.

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