Finished sintering product quality tracing method and device, electronic equipment and storage medium

Abstract

The invention relates to the technical field of sintering management, and discloses a sintering finished product quality tracing method, a sintering finished product quality tracing device, electronic equipment and a storage medium. Based on the feeding material batch and the raw material inspection and test batch, establishing a first association matching relationship between the mixture composition and the raw material inspection and test batch, and establishing a second association matching relationship between the finished product inspection and test batch and the mixture material ratio, the second association matching relationship being a time-lag association matching relationship, and the time-lag association matching relationship being a time-lag association matching relationship; establishing a third correlation matching relationship between the finished product inspection and test batch and the raw material inspection and test batch, and establishing a fourth correlation matching relationship between the finished product inspection and test batch and the production process parameters; and if yes, analyzing based on the first correlation matching relationship, the second correlation matching relationship, the third correlation matching relationship and the fourth correlation matching relationship, and determining key factors influencing the quality of the sintered finished product.

Description

Technical Field

[0001] The present application relates to the technical field of sintering management, and in particular to a method, device, electronic device and storage medium for tracing the quality of sintered finished products. Background Art

[0002] Sintered ore is a crucial component of blast furnace smelting, typically comprising over 60% of the charge. Its quality stability significantly impacts blast furnace production. If sintered ore quality issues arise, rapid investigation and adjustment of production parameters are necessary. However, in practice, sintered ore production involves complex proportions of various powdered iron-containing raw materials, fuels, and fluxes, as well as multi-stage processing (including mixing, granulation, sintering, cooling, and screening). This poses significant challenges to traceability.

[0003] Currently, the traditional method relies on manual estimation to form a correlation between raw materials, proportions, and production parameters. This leads to certain deviations in the reverse traceability of sintered ore product quality and often fails to accurately identify the cause of anomalies. Clearly, a new sintered ore product quality traceability method is urgently needed to address at least one of the above issues.

[0004] It should be noted that the above content only provides background technical information related to this application and does not necessarily constitute prior art. Summary of the Invention

[0005] In view of the shortcomings of the existing technology mentioned above, the present application provides a sintered finished product quality traceability method, device, electronic equipment and storage medium to achieve refined tracking of raw material composition and raw material ratio in the sintered ore production process, so as to better ensure the stability of the sintering production process and improve the quality of sintered ore.

[0006] Other features and advantages of the present application will become apparent from the following detailed description, or may be learned in part by practice of the present application.

[0007] According to one aspect of an embodiment of the present application, a method for tracing the quality of a sintered finished product is provided, including: obtaining raw material inspection batches, feed material batches, finished product inspection batches and production process parameters of a sintering process; establishing a first association matching relationship between the composition of the mixture and the raw material inspection batches based on the feed material batches and the raw material inspection batches; establishing a second association matching relationship between the finished product inspection batches and the material proportion of the mixture, wherein the second association matching relationship is a time-lag association matching relationship; establishing a third association matching relationship between the finished product inspection batches and the raw material inspection batches; establishing a fourth association matching relationship between the finished product inspection batches and the production process parameters; if an abnormality in the quality of the sintered finished product is detected, performing an analysis based on the first association matching relationship, the second association matching relationship, the third association matching relationship and the fourth association matching relationship to determine the key factors affecting the quality of the sintered finished product.

[0008] In one embodiment of the present application, based on the aforementioned scheme, a first association matching relationship between the components of the mixture and the raw material inspection batch is established based on the feed material batch and the raw material inspection batch, including: obtaining the start feeding time, end feeding time, start feeding bin weight, end feeding bin weight and feed amount of the target batching bin, and establishing the feed material batch of the target batching bin; constructing an initial material layer based on the spatiotemporal matching of the feed material batch and the raw material inspection batch, and obtaining the material layer construction time, feed start bin weight, feed end bin weight, raw material inspection batch and material layer composition of the initial material layer; determining the target outlet material layer from the initial material layer, and matching the material layer composition of the target outlet material layer to calculate the components of the mixture; establishing the first association matching relationship between the components of the mixture and the raw material inspection batch.

[0009] In one embodiment of the present application, based on the aforementioned scheme, a target material layer out of the warehouse is determined from the initial material layer, and the material layer composition of the target material layer out of the warehouse is matched to calculate the composition of the mixture, including: predicting the predicted material layer out of the warehouse time according to the material layer construction time, the starting warehouse weight of the feed and the average warehouse discharge amount; determining the target material layer from the initial material layer based on the predicted warehouse discharge time and the current time, and determining the target material layer out of the warehouse based on the cumulative discharge amount of the warehouse, the starting warehouse weight of the feed and the ending warehouse weight of the feed; calculating the composition of the mixture based on the set ratio of the warehouse and the material layer composition of the target material layer out of the warehouse in each target batching warehouse.

[0010] In one embodiment of the present application, based on the aforementioned scheme, a second association matching relationship between the finished product inspection batch and the mixture material ratio is established according to the mixture inspection batch and the finished product inspection batch, including: if it is monitored that the mixture inspection batch and the mixture material ratio have changed, a mixture change point is constructed; by calculating the total processing time from the silo unloading point to the sintered ore sampling location, the finished product offline time corresponding to the mixture change point is calculated; the sampling time of the finished product inspection batch is matched with the finished product offline time, and the sintered finished product matching the finished product inspection batch is determined according to the matching result; if the finished product offline time is matched with the finished product inspection batch to obtain the target inspection batch, it is determined that the mixture change point corresponding to the finished product offline time matches the target inspection batch; and the second association matching relationship between the finished product inspection batch and the mixture material ratio is established.

[0011] In one embodiment of the present application, based on the above-mentioned scheme, if changes are monitored in the mixture inspection batch and the mixture material ratio, a mixture change point is constructed, including: obtaining the discharge inspection batch of each target batching bin, and determining the composition of the inspection batch of the same material; if a new material batch is determined based on the composition of the inspection batch of the same material, and the proportion of the material amount of the material batch relative to the total amount of the mixture is greater than a preset proportion threshold, it is determined that the mixture inspection batch has changed, and a mixture batch change point is constructed; based on the set proportion of each silo, the total proportion of the same material of various materials is calculated. If a change is detected in the total proportion of any of the same materials, it is determined that the mixture material ratio has changed, and a mixture ratio change point is constructed; the mixture change point is constructed based on the mixture batch change point and the mixture ratio change point, and the change point parameters of the mixture change point are recorded, wherein the change point parameters include the change time, material ratio and material inspection batch composition.

[0012] In one embodiment of the present application, based on the aforementioned scheme, a third association matching relationship between the finished product inspection batch and the raw material inspection batch is established, including: obtaining the mixture change point corresponding to the finished product inspection batch, and obtaining the material inspection batch composition corresponding to the mixture change point; determining the sintered finished product matching the mixture change point based on the sintered finished product matching the finished product inspection batch, and then determining the matching relationship between the mixture change point and the sintered finished product; constructing the third association matching relationship between the finished product inspection batch and the raw material inspection batch based on the matching relationship.

[0013] In one embodiment of the present application, based on the aforementioned scheme, a fourth association matching relationship between the finished product inspection batch and the production process parameters is established, including: based on the mixture change point corresponding to the finished product inspection batch, obtaining the change time of the mixture change point, so as to establish a change period based on the change time; determining the target change point from the mixture change point, calculating the first time difference between the finished product offline time corresponding to the target change point and the first sampling time, and calculating the second time difference between the finished product offline time corresponding to the target change point and the second sampling time; obtaining a matching period based on the change period, the first time difference and the second time difference; obtaining the production process parameters within the matching period, and establishing the fourth association matching relationship between the finished product inspection batch and the production process parameters.

[0014] According to one aspect of an embodiment of the present application, a sintered finished product quality traceability device is provided, including: a data acquisition module for obtaining raw material inspection batches, feed material batches, finished product inspection batches and production process parameters of the sintering process; a first association matching module for establishing a first association matching relationship between the composition of the mixture and the raw material inspection batches based on the feed material batches and the raw material inspection batches; a second association matching module for establishing a second association matching relationship between the finished product inspection batches and the material proportion of the mixture, wherein the second association matching relationship is a time-lag association matching relationship; a third association matching module for establishing a third association matching relationship between the finished product inspection batches and the raw material inspection batches; a fourth association matching module for establishing a fourth association matching relationship between the finished product inspection batches and the production process parameters; a detection and analysis module for performing analysis based on the first association matching relationship, the second association matching relationship, the third association matching relationship and the fourth association matching relationship if abnormal quality of the sintered finished product is detected, so as to determine the key factors affecting the quality of the sintered finished product.

[0015] According to one aspect of an embodiment of the present application, an electronic device is provided, comprising: one or more processors; and a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the electronic device implements the sintered product quality traceability method as described in any one of the above embodiments.

[0016] The present application also provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor of a computer, the computer is caused to execute the sintered product quality tracing method as described in any one of the above embodiments.

[0017] The beneficial effects of the present application are as follows: the present application obtains the raw material inspection batches, feed material batches, finished product inspection batches and production process parameters of the sintering process; based on the feed material batches and the raw material inspection batches, a first correlation matching relationship is established between the composition of the mixture and the raw material inspection batches, a second correlation matching relationship is established between the finished product inspection batches and the material ratio of the mixture, wherein the second correlation matching relationship is a time-lag correlation matching relationship, a third correlation matching relationship is established between the finished product inspection batches and the raw material inspection batches, and a fourth correlation matching relationship is established between the finished product inspection batches and the production process parameters; if the quality of the sintered finished product is detected to be abnormal, an analysis is performed based on the first correlation matching relationship, the second correlation matching relationship, the third correlation matching relationship and the fourth correlation matching relationship to determine the key factors affecting the quality of the sintered product, thereby realizing the refined tracking of the raw material composition and raw material ratio in the sintered ore production process, and can also perform accurate raw material composition and raw material ratio retrospective analysis on the sintered ore, especially in the case of abnormal sintered ore quality, so as to better ensure the stability of the sintering production process and improve the quality of the sintered ore.

[0018] In addition, this application can also prompt and alarm managers when abnormal raw material ingredients are burned, and realize the simultaneous viewing and visualization of finished product inspection batches and related matching data through a visual interface, assisting technical personnel to quickly locate key factors affecting the quality of finished products, and make accurate and rapid adjustments to prevent the continuous production of abnormal quality varieties. At the same time, it is convenient for historical batch analysis and proposes more scientific and reasonable optimization measures.

[0019] It should be understood that the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the present application. BRIEF DESCRIPTION OF THE DRAWINGS

[0020] The accompanying drawings are incorporated into and constitute a part of the specification, illustrating embodiments consistent with the present application and, together with the specification, serving to explain the principles of the present application. It is obvious that the drawings described below are merely some embodiments of the present application, and a person of ordinary skill in the art can derive other drawings based on these drawings without inventive effort. In the drawings: Figure 1 1 is a flow chart of a method for tracing the quality of sintered finished products according to an exemplary embodiment of the present application; Figure 2 is a flow chart of a method for tracing the quality of sintered finished products according to another exemplary embodiment of the present application; Figure 3 is a block diagram of a sintered product quality tracing device shown in an exemplary embodiment of the present application; Figure 4 A schematic diagram of the structure of a computer system suitable for implementing an electronic device according to an embodiment of the present application is shown. DETAILED DESCRIPTION

[0021] The following will describe the embodiments of the present application with reference to the accompanying drawings and preferred embodiments. Those skilled in the art can easily understand the other advantages and effects of the present application from the contents disclosed in this specification. The present application can also be implemented or applied through other different specific embodiments, and the details in this specification can also be modified or changed in various ways based on different viewpoints and applications without departing from the spirit of the present application. It should be understood that the preferred embodiments are only for the purpose of illustrating the present application and are not intended to limit the scope of protection of the present application.

[0022] It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present application. Therefore, the illustrations only show components related to the present application and are not drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component can be changed at will, and the component layout type may also be more complicated.

[0023] In the following description, a large number of details are discussed to provide a more thorough explanation of the embodiments of the present application. However, it is obvious to those skilled in the art that the embodiments of the present application can be implemented without these specific details. In other embodiments, well-known structures and devices are shown in the form of block diagrams rather than in detail to avoid making the embodiments of the present application difficult to understand.

[0024] First of all, it should be noted that the main reasons for the difficulty in tracing back the quality of sintered ore include: First, analyzing the inspection results of sintered ore is an important basis for evaluating the effect of raw material ratio adjustment, but the frequency of raw material inspection and ratio adjustment is different from the frequency of sintered ore inspection, and a certain processing time is required from the raw material to the sintered ore sampling site. The analyzed sintered ore composition may not match the raw material ratio adjustment being tracked; Second, there is a long time lag in the transportation-sampling-sampling of raw materials and the storage time of the silo, which will lead to incomplete adjustments to the ratio and production parameters in the production process and the formation of a matching relationship with the actual raw material inspection batch and composition, which also causes difficulties in tracing back the finished product. Therefore, after obtaining the inspection and testing information of the finished sintered ore product, this application traces back the key data of the finished product production, including the mixture ratio, production process parameters, raw material composition and other information corresponding to the finished product inspection batch, to assist technical personnel in quickly locating the key factors affecting the quality of the finished product, and making accurate and rapid adjustments to prevent the continuous production of abnormal quality varieties, while facilitating the analysis of historical batches and proposing more scientific and reasonable optimization measures.

[0025] Figure 1This is a flow chart of a sintered finished product quality tracing method according to an exemplary embodiment of the present application. The sintered finished product quality tracing method can be executed by a computing and processing device, which can be at least one of a desktop graphics processing unit (GPU) computer, a GPU computing cluster, a neural network computer, etc. Figure 1 As shown, the sintered product quality tracing method includes at least steps S110 to S160, which are described in detail as follows: In step S110 , raw material inspection batches, feed material batches, finished product inspection batches and production process parameters of the sintering process are obtained.

[0026] In one embodiment of the present application, key data affecting the quality of sintered ore products during the sintering production process is acquired and processed in real time to establish a correlation between finished product inspection batches and information such as mixture ratios, production process parameters, and raw material composition, thereby enabling reverse traceability of finished product quality results. Key data includes, but is not limited to, raw material inspection batches, feed material batches, mixture inspection batches, finished product inspection batches, and production process parameters.

[0027] It can be understood that a raw material inspection batch refers to the inspection unit for incoming sintering raw materials (such as iron ore concentrate, coke fines, flux, etc.) based on the same source, arrival time, and quality inspection standards during quality testing. This is a raw material quality control term used to define the smallest traceable unit for raw material quality fluctuations. A feed material batch refers to the unit of raw materials entering the sintering silo or batching system, based on the same silo, time period, and proportion requirements. This is a production batching management term that emphasizes the dynamic flow and proportioning of materials within the production process. A mixture inspection batch refers to the inspection unit for the sintering raw material mixture formed after batching and mixing, based on the same mixing cycle, mixing equipment, and quality target. This is a mixture quality control term used to evaluate the mixture's compositional uniformity and sintering performance. A finished product inspection batch refers to the final product formed after cooling and screening of the sintered ore, based on the same production shift, sintering machine, and quality standards. This is a finished product quality control term directly linked to product delivery and user needs. Production process parameters refer to process variables that need to be monitored and adjusted in real time during the sintering production process, such as material layer thickness, sintering temperature, fan negative pressure, return ore rate, etc. In this application, production process parameters may also include but are not limited to material ratio, feed amount, one-two mixed water ratio, trolley speed, ring cooler speed, ignition temperature, ignition furnace furnace negative pressure and large flue temperature, etc.; they belong to process control terms and are the core control basis for optimizing sintering efficiency, energy consumption and product quality.

[0028] In step S120, a first association and matching relationship between the components of the mixed material and the raw material inspection and testing batch is established based on the feed material batch and the raw material inspection and testing batch.

[0029] In one embodiment of the present application, the process of establishing a first associated matching relationship between the components of the mixture and the raw material inspection batch based on the feed material batch and the raw material inspection batch includes the following steps: obtaining the start feeding time, end feeding time, start feeding bin weight, end feeding bin weight and feed amount of the target batching bin, and establishing the feed material batch of the target batching bin; constructing the initial material layer based on the spatiotemporal matching of the feed material batch and the raw material inspection batch, and obtaining the material layer construction time, feed start bin weight, feed end bin weight, raw material inspection batch and material layer composition of the initial material layer; determining the target outlet material layer from the initial material layer, and matching the material layer composition of the target outlet material layer to calculate the components of the mixture; establishing a first associated matching relationship between the components of the mixture and the raw material inspection batch.

[0030] In one embodiment of the present application, the process of determining a target material layer out of the warehouse from the initial material layer and matching the material layer composition of the target material layer out of the warehouse to calculate the composition of the mixture includes the following steps: predicting the predicted material layer out of the warehouse time according to the material layer construction time, the starting warehouse weight of the feed and the average warehouse discharge amount; determining the target material layer from the initial material layer based on the predicted warehouse discharge time and the current time, and determining the target material layer out of the warehouse based on the cumulative discharge amount of the warehouse, the starting warehouse weight of the feed and the ending warehouse weight of the feed; and calculating the composition of the mixture based on the set ratio of the warehouse and the material layer composition of the target material layer out of the warehouse in each target batching warehouse.

[0031] In some embodiments, reference Figure 2 , Figure 2 It is a flow chart of a sintered finished product quality traceability method shown in another exemplary embodiment of the present application, which realizes reverse tracing of finished product quality results by acquiring and processing key data in the sintering production process in real time, establishing a correlation relationship between finished product inspection batches, that is, the finished product inspection batches and information such as mixture ratio, production process parameters, and raw material composition, wherein the process of establishing a correlation relationship between finished product inspection batches and information such as mixture ratio, production process parameters, and raw material composition includes the following steps: establishing a first correlation matching relationship between the sintered mixture and the raw material inspection batch; establishing a time-lag correlation matching between the sintered ore inspection batch and the mixture ratio to obtain a second correlation matching relationship; establishing a third correlation matching relationship between the sintered ore inspection batch and the raw material inspection batch; and establishing a fourth correlation matching relationship between the sintered ore inspection batch and the production process parameters.

[0032] In one embodiment, the process of establishing a first correlation matching relationship between the sintering mixture and the raw material inspection batch includes the following steps: real-time tracking of the feeding status of the batching bin and establishing the feeding material batch; constructing the silo stratification, i.e., the material layer, based on the spatiotemporal matching of the feeding material batch and the raw material inspection batch; tracking the material layer discharge status, matching the silo discharge material inspection batch and component information; obtaining the mixture material ratio, synchronizing the batching bin discharge material inspection batch, and calculating the mixture material composition and component composition.

[0033] In this embodiment, the process of determining whether the silo is loaded includes the following steps: S1-1: Track the start and stop of the upstream feeding process and obtain monitoring signals, which include but are not limited to the feed hopper feed signal, belt operation signal, and metering signal. The upstream feeding process is considered active when all monitoring signals are active; the feeding process is considered complete when the feed hopper feed signal and the metering scale metering signal stop. Recorded feeding process data includes but is not limited to the feeding start time, feeding end time, and feeding amount.

[0034] S1-2: Obtain the position feedback signal of the unloading car on the sintering batching bin, and based on the time synchronization principle, determine that the bin where the car is positioned during the start of the feeding process is in the feeding state.

[0035] S1-3: The time when the trolley is positioned on the silo is the start time of feeding the silo, and the time when the trolley moves is the end time of feeding the silo. A silo feeding material batch M is established. （x） And generate a feeding record parameter, the feeding record parameter includes but is not limited to the starting feeding time Tm x1 , End feeding time Tm x2 , start feeding the hopper heavy LS (x1) , end the feeding bin weight LS (x2) and feed amount.

[0036] In this embodiment, the silo stratification is constructed based on the spatiotemporal matching of the incoming material batches and the inspection and testing batches. This can also be understood as the process of creating silo stratification by synchronously processing the incoming material batches and the inspection and testing batches that are tracked in real time based on the principle of time synchronization. The process includes the following steps: S2-1: Obtain the sampling times of the nth raw material inspection batch and the n+1th raw material inspection batch through the inspection and testing system, which are Tn and Tn+1 respectively.

[0037] S2-2: Using Tn and Tn+1 as reference time, match the feeding record parameters of all silos’ feeding material batches. If the i-th silo S (i) The i-th feed material batch M （i） Feed start time Tm i1 ≥Tn, j-th material batch M （j）Feed end time Tm j2 ≤Tn+1 (where j>i), it is considered that the nth inspection batch has entered the silo.

[0038] S2-3: Get silo S (i) The warehouse weights at Tn and Tn+1 are LSn respectively. (i) LS(n+1) (i) LSn (i) As the initial material surface, LSn+1 (i) To finish the material surface, complete S (i) The i-th material layer N in the bin （i） The construction of LSn+1 (i) It is both the end surface of the material layer and the material layer N （i+1） The initial material surface.

[0039] S2-4: Recording material layer parameters, including but not limited to material layer construction time T (x) , feeding start time Tn, feeding end time Tn+1, feeding start bin weight LSn, feeding end bin weight LS(n+1), inspection batch and composition.

[0040] In this embodiment, the process of tracking the material layer discharge status and matching the inspection batch and composition information of the discharged material from the silo includes the following steps: Starting from the material layer construction time, the average storage volume of the material silo, i.e. the material distribution silo, within a preset time period (e.g. 2 hours) is obtained, and a predictive calculation of the material layer discharge time is performed based on the starting silo weight of the material layer feeding to obtain the predicted discharge time; the change in the storage volume of the material silo is detected, and the predictive calculation is updated when the change in the storage volume is greater than the preset change threshold.

[0041] Select the material layer with the closest predicted delivery time to the current time as the primary material layer N （i） , get the feed starting bin weight LSn （i） And the weight of the bin at the end of feeding LS(n+1) （i） Calculate the silo disc feeding amount Y from the start time of material layer feeding to the current time, that is, the silo cumulative discharge amount, based on the silo weight LSn at the start of feeding. （i） , Feeding end bin weight LS(n+1) （i） The usage of the material layer is determined by the feeding amount Y of the silo disc. The judgment logic includes the following: If LSn （i） ≤Y≤LS(n+1) （i） , then determine the material layer N (i) The material being unloaded from the silo at the current time is layer N (i) The batches and ingredients of the products to be tested; If Y≤LSn （i）, then determine the material layer N (i) The material has not been shipped out yet. The material unloaded from the current silo is layer N. (i-1) The batches and ingredients of the test materials, including layer N (i-1) It is the material layer above the primary material layer; If Y≤LS(n+1) （i） , in judging the material layer N (i) The material unloaded from the silo has been completed. The material unloaded from the silo at the current time is layer N. (i+1) The batches and ingredients of the test materials carried out, among which, the material layer N (i+1) It is the next material layer after the primary material layer.

[0042] In this embodiment, the material ratio of the mixture is obtained, the batches of materials discharged from the batching silo are inspected and tested simultaneously, and the material composition and component composition of the mixture are calculated. Specifically, after the batches of materials discharged from the silo are inspected and tested, the component information of each silo is extracted and the set ratio of the silo is obtained, and the composition of the mixture is calculated based on the weighted average.

[0043] In step S130, a second correlation and matching relationship between the finished product inspection batch and the mixed material ratio is established.

[0044] The second correlation matching relationship is a time-lag correlation matching relationship. Time lag means that the current state is not only related to the current state, but also depends on the state at a certain time or period in the past.

[0045] In one embodiment of the present application, the process of establishing a second associated matching relationship between the finished product inspection batch and the mixture material ratio includes the following steps: if it is monitored that the mixture inspection batch and the mixture material ratio have changed, then a mixture change point is constructed; by calculating the total processing time from the silo unloading point to the sintered ore sampling location, the finished product offline time corresponding to the mixture change point is calculated; the sampling time of the finished product inspection batch is matched with the finished product offline time, and the sintered finished product matching the finished product inspection batch is determined based on the matching result; if the finished product offline time is matched with the finished product inspection batch to obtain the target inspection batch, then the mixture change point corresponding to the finished product offline time is determined to match the target inspection batch; and a second associated matching relationship between the finished product inspection batch and the mixture material ratio is established.

[0046] In one embodiment of the present application, if changes are detected in the mixture inspection batch and the mixture material ratio, the process of constructing a mixture change point includes the following steps: obtaining the discharge inspection batch of each target batching bin, and determining the composition of the inspection batch of the same material; if a new material batch is determined based on the composition of the inspection batch of the same material, and the proportion of the material amount of the material batch relative to the total amount of the mixture is greater than a preset proportion threshold, it is determined that the mixture inspection batch has changed, and a mixture batch change point is constructed; based on the set ratio of each silo, the total proportion of the same material of various materials is calculated. If a change is detected in the total proportion of any of the same materials, it is determined that the mixture material ratio has changed, and a mixture ratio change point is constructed; a mixture change point is constructed based on the mixture batch change point and the mixture ratio change point, and the change point parameters of the mixture change point are recorded, wherein the change point parameters include the change time, material ratio and material inspection batch composition.

[0047] Continue to refer to Figure 2 As shown, in one embodiment, the process of time-lag correlation matching between sintered ore inspection batches and mixture ratios includes the following steps: monitoring the inspection batches and material ratio changes of sintered mixtures to construct mixture change points; performing time series analysis on the sintering production process; and establishing a correlation matching relationship between finished product inspection batches and mixture ratios.

[0048] In this embodiment, the inspection batches and material proportion changes of the sintering mixture are monitored, and the process of constructing the mixture change point includes the following steps: judgment of the change point created by the inspection batch change: based on the extraction of the mixture material composition information, the inspection batch of the material discharged from each silo is obtained, and the composition of the inspection batch of the same material is calculated; when a new material batch is added and the proportion exceeds the preset proportion threshold (for example, 10%), it is determined to be a mixture inspection batch change. Judgment of the change point created by the proportion change: obtain the set proportion of each silo, calculate the total proportion of the same material, and when the total proportion of any material changes, it is determined to be a proportion change. Record the change point parameters, which include but are not limited to the change time, material proportion, and the composition of the material inspection batch.

[0049] In this embodiment, the sintering production process is subjected to a timing analysis. Specifically, the total processing time from the silo unloading point to the sintered ore sampling point is calculated to calculate the time when the mixture is changed and the sintered finished product is offline. The process includes the following steps: the processing time of the sintering trolley is calculated by the speed and length of the sintering trolley and the ring cooler; the time of other processes is the actual measured processing time; the total processing time is calculated based on the processing time of the sintering trolley and the time of other processes; the change time plus the total processing time is the time when the sintered ore product is offline corresponding to the tracking time of this change.

[0050] In this embodiment, the process of establishing an associated matching relationship between the finished product inspection batch and the mixture ratio includes the following steps: matching of the finished product inspection batch with the actual finished product off the line: matching based on the sampling time of the finished product inspection batch and the finished product off-line time. If the sintered finished product off-line time is between the two sampling times, it is considered that the finished product off the line in this period matches the next inspection batch; matching of the finished product inspection batch with the mixture: finding the corresponding mixture change point based on the finished product off-line time. When the finished product off-line time matches a certain finished product inspection batch, the corresponding mixture change point matches the finished product inspection batch.

[0051] In one embodiment, based on the extraction of the composition information of the mixed material, the inspection batch of the material discharged from each silo is obtained, and the composition of the inspection batch of the same material is calculated by the following steps: Data collection and association. This is used to obtain the mapping relationship between silo discharge materials and inspection and testing batches. Specifically, this is done by extracting silo inventory data, discharge plan data, and inspection and testing data from the warehouse management system (WMS), manufacturing execution system (MES), and quality management system (LIMS). Warehouse inventory data includes, but is not limited to, silo number, current inventory material batch number, inventory quantity, and storage time. Discharge plan data includes, but is not limited to, discharge batch number, planned discharge time, target mixture, associated silo number, and discharge quantity. Inspection and testing data includes, but is not limited to, material batch number, quality inspection report number, component indicators (such as TFe, SiO2, moisture, etc.), and sampling time. Then, the silo inventory data is linked to the inspection and testing data using the material batch number, forming a complete data chain from "silo-material batch-ingredient."

[0052] Discharge batch inspection and testing batch identification. This function determines the inspection and testing batches included in each discharge batch and their respective proportions. Based on the discharge plan, the discharge quantity is deducted from the associated silo inventory using a first-in, first-out (FIFO) or specified priority rule. During this deduction, the material batches included in each discharge batch and their respective proportions are recorded. If a discharge batch is associated with multiple material batches (e.g., multiple inventory batches in a silo), the proportion of each material batch in the discharge is calculated based on the deduction quantity.

[0053] Calculate the composition of homogeneous material batches. This is used to combine and calculate the cumulative proportion and component contribution of the same material (i.e., the same material batch) across multiple discharging batches. By traversing all discharging batches, the total proportion of the same material batch in the mixture is calculated (i.e., the weighted sum of the proportion of the material batch in each discharging batch). Calculate the cumulative contribution of the material batch to the mixture composition. For a specific component in the mixture (such as TFe), the comprehensive contribution of the same material is calculated using the following formula: Formula (1) in, It is the comprehensive contribution of the same material in a certain component of the mixture. is the component value of material batch i, is the total proportion of material batch i in the mixture.

[0054] Result output and quality traceability. This system generates traceable mixture quality data to support production optimization and exception handling. A quality label is generated for each discharged batch, including the batch number, associated silo, discharge time, theoretical composition, actual composition, and a list of associated material batches (including batch number, percentage, and composition). The overall quality indicators of the mixture are then calculated based on the percentage and composition of each discharged batch in the mixture. Finally, through a three-level linkage between mixture batch, discharged batch, and material batch, quality anomalies can be quickly traced.

[0055] It can be understood that this embodiment is only an example provided for ease of understanding, and this application does not limit the specific implementation process of extracting the composition information of the mixed material, obtaining the inspection batches of the material discharged from each silo, and calculating the composition of the inspection batches of the same material.

[0056] In step S140, a third association matching relationship between the finished product inspection batch and the raw material inspection batch is established.

[0057] In one embodiment of the present application, the process of establishing a third associated matching relationship between the finished product inspection batch and the raw material inspection batch includes the following steps: obtaining the mixture change point corresponding to the finished product inspection batch, and obtaining the material inspection batch composition corresponding to the mixture change point; determining the sintered finished product matching the mixture change point based on the sintered finished product matching the finished product inspection batch, and then determining the matching relationship between the mixture change point and the sintered finished product; constructing the third associated matching relationship between the finished product inspection batch and the raw material inspection batch based on the matching relationship.

[0058] In this embodiment, continue to refer to Figure 2 As shown, the process of associating and matching the sintered ore inspection batches with the raw material inspection batches includes the following steps: obtaining the mixture change point corresponding to the finished product inspection batch, synchronously obtaining the mixture material batch composition at that moment, and obtaining the inspection batch and composition ratio corresponding to the mixture change point; based on the matching relationship between the mixture change point and the finished product ore, constructing the associative matching of the finished product inspection batch and the raw material inspection batch.

[0059] In step S150, a fourth association and matching relationship between the finished product inspection batch and the production process parameters is established.

[0060] In one embodiment of the present application, the process of establishing a fourth association matching relationship between the finished product inspection batch and the production process parameters includes the following steps: based on the mixture change point corresponding to the finished product inspection batch, obtaining the change time of the mixture change point to establish a change period based on the change time; determining the target change point from the mixture change point, calculating the first time difference between the finished product offline time corresponding to the target change point and the first sampling time, and calculating the second time difference between the finished product offline time corresponding to the target change point and the second sampling time; obtaining the matching period based on the change period, the first time difference and the second time difference; obtaining the production process parameters within the matching period, and establishing a fourth association matching relationship between the finished product inspection batch and the production process parameters.

[0061] In this embodiment, continue to refer to Figure 2 As shown, the process of associating and matching sintered ore inspection and testing batches with production process parameters includes the following steps: based on the mixture change points corresponding to the finished product inspection and testing batches, obtain the change time of all corresponding change points to establish a change period; calculate the time difference between the finished product offline time corresponding to the earliest / latest change point and the sampling time before and after; add the two time differences to the time period forward and backward respectively to form a complete matching time period; obtain the production process parameters within the time period, and establish a matching relationship with the next inspection and testing batch; the production process parameters may include material ratio, feeding amount, first and second mixed water ratio, trolley speed, ring cooler speed, ignition temperature, ignition furnace hearth negative pressure, large flue temperature, etc.

[0062] In step S160 , if the quality of the sintered product is detected to be abnormal, analysis is performed based on the first correlation matching relationship, the second correlation matching relationship, the third correlation matching relationship, and the fourth correlation matching relationship to determine key factors affecting the quality of the sintered product.

[0063] In one embodiment of the present application, an abnormality alarm can be triggered by comparing the quality indicators of a finished product inspection batch (such as FeO content, drum strength, and metallurgical properties) with standard thresholds. The mixture inspection batch, feed material batch, raw material inspection batch, and associated production process parameters corresponding to the abnormal finished product are recalled. By tracing back the associations layer by layer, the root cause of the quality anomaly is located. Exemplarily, this includes a first-level analysis, namely, third-association matching relationship analysis, to determine whether the abnormal finished product originated from a specific raw material batch. Based on the third-association matching relationship, the raw material batch corresponding to the abnormal finished product is traced back. Quality data (such as SiO2, TFe, and harmful element content) of the raw material batch is checked to see if it exceeds the standard range. If the raw material batch quality exceeds the standard, the abnormality is determined to be caused by raw material quality fluctuations. If the raw material batch quality is normal, the next level of analysis is performed. A second-level analysis, namely, second-association matching relationship analysis, is also included to verify whether the mixture composition meets design requirements. Based on the second-association matching relationship, mixture composition data is obtained and compared with the design target (such as alkalinity and MgO content) to analyze whether there are any deviations in the mix. If the mixture composition deviates from the design target, it is determined to be an abnormal batching operation. If the mixture composition is normal, the analysis proceeds to the next level. A third-level analysis, the first-level correlation matching relationship analysis, is also included to check whether the proportions of raw material batches in the mixture are reasonable. Based on the first-level correlation matching relationship, the proportions of each raw material batch in the mixture are calculated. The analysis checks whether there are any abnormal quality issues or batching errors with high-proportion raw material batches. If the quality of high-proportion raw material batches is abnormal, it is determined to be an unreasonable raw material batching. If the batching is normal, the analysis proceeds to the next level. A fourth-level analysis, the fourth-level correlation matching relationship analysis, is also included to investigate the impact of process parameters on finished product quality. Based on the fourth-level correlation matching relationship, the process parameters corresponding to the abnormal finished product (such as sintering temperature, bed thickness, and negative pressure) are extracted. The set parameter values ​​are compared with the actual values ​​to analyze whether there are any parameter violations or operational fluctuations. If the parameters are abnormal (such as underfiring due to a low sintering temperature), it is determined to be a process operation abnormality. If the parameters are normal, further analysis is required by integrating the results from multiple levels. It can be understood that the hierarchical execution order in this embodiment is only an example of a preferred embodiment, and this application does not limit it. In actual application, it can be adjusted or modified according to needs. For example, the first association matching relationship, then the second association matching relationship, then the third association matching relationship, and finally the fourth association matching relationship can be analyzed first.

[0064] In this embodiment, the analysis results at each level can be weighted (e.g., raw material quality accounts for 40%, ingredients account for 30%, and process accounts for 30%) to calculate the abnormal contribution. For example, if the raw material batch quality exceeds the standard (weight 40%) + the ingredient deviation (weight 30%), it is determined to be a problem of raw material and ingredient coordination. It is also possible to prioritize by degree of impact, giving priority to solving factors with high weight and quick intervention (such as adjusting the raw material ratio). It will be understood that this embodiment is for illustration only and should not impose any limitations on the functions and scope of use of the embodiments of this application.

[0065] In this embodiment, after the quality abnormality of the sintered product is detected, prompt and / or alarm information can be generated for prompt and / or alarm, and the raw material procurement plan can be adjusted, the batching model can be optimized, and the process parameter setting values ​​can be corrected; the finished product quality can be re-produced and tested to confirm whether the abnormality has been eliminated; the abnormal cases and root causes can also be entered into the knowledge base to support subsequent early warning and training.

[0066] This embodiment realizes the refined tracking of raw material composition and raw material ratio during the sintering ore production process. It can not only prompt and alarm the manager when abnormal raw material composition is put into combustion, but also conduct accurate retrospective analysis of the raw material composition and raw material ratio of the sintered ore, especially when the sintered ore quality is abnormal, so as to better ensure the stability of the sintering production process and improve the quality of the sintered ore.

[0067] In one embodiment of the present application, the synchronous viewing and visualization of finished product inspection batches and associated matching data is achieved through a visual interface.

[0068] In one embodiment of the present application, in order to quickly locate the key factors affecting the quality of the finished product, four correlation matchings are performed to establish an accurate correspondence between the sintered ore product, the raw materials, and the operating parameters, thereby enabling reverse tracing of the production process of the finished product quality. Specifically, this includes: Correlation and matching between sintering mixtures and raw material inspection and testing batches: Real-time tracking of the feeding status of the batching silo, building silo layers based on the spatiotemporal matching of the feeding material batches and the inspection and testing batches, tracking the material layer discharge status, matching the inspection and testing batches and component information of the silo discharge materials, obtaining the material ratio of the mixture, synchronizing the inspection and testing batches of the batching silo discharge materials, and calculating the material composition and component composition of the mixture.

[0069] Time-lag correlation matching between sinter ore testing batches and mixture ratios: Monitor the changes in testing batches and material ratios of sinter mixtures, construct mixture change points, perform time series calculations on the raw material-finished product production process, and establish a correlation matching relationship between finished product testing batches and mixture ratios.

[0070] Correlation matching between sintered ore inspection and testing batches and raw material inspection and testing batches: obtain the mixture change point corresponding to the finished product inspection and testing batch, and simultaneously obtain the inspection and testing batch and composition ratio corresponding to the mixture change point; based on the matching relationship between the mixture change point and the finished product ore, construct the correlation matching between the finished product inspection and testing batches and the raw material inspection and testing batches.

[0071] Correlation matching between sintered ore inspection and testing batches and production process parameters: obtain the change time of all corresponding change points of the finished product to establish the change period, calculate the time difference between the finished product off-line time corresponding to the earliest / latest change point and the sampling time before and after to establish the matching period, obtain the production process parameters within the time period, and establish a matching relationship with the next inspection and testing batch.

[0072] This application is based on the key factors affecting the quality of sintered ore products. After real-time acquisition and processing of key data in the sintering production process, the association between finished product inspection batches and mixture ratios, production process parameters, raw material components and other information is established to achieve reverse traceability of finished product quality results, including association matching between sintered mixtures and raw material inspection batches, time-delayed association matching between sintered ore inspection batches and mixture ratios, association matching between sintered ore inspection batches and raw material inspection batches, and association matching between sintered ore inspection batches and production process parameters; this application realizes the refined tracking of raw material composition and raw material ratio in the sintered ore production process, which can not only prompt and alarm the manager when abnormal raw material composition is put into combustion, but also perform accurate raw material composition and raw material ratio retrospective analysis of sintered ore, especially when the quality of sintered ore is abnormal, so as to better ensure the stability of the sintering production process and improve the quality of sintered ore.

[0073] Figure 3 This is a block diagram of a sintered product quality tracing device shown in an exemplary embodiment of the present application. The device can be applied to Figure 1 The implementation environment shown is specifically configured in the computer device 102. The apparatus may also be applicable to other exemplary implementation environments and specifically configured in other devices. This embodiment does not limit the implementation environment to which the apparatus is applicable.

[0074] like Figure 3 As shown, the exemplary sintered product quality traceability device includes: a data acquisition module 310 , a first correlation matching module 320 , a second correlation matching module 330 , a third correlation matching module 340 , a fourth correlation matching module 350 and a detection and analysis module 360 ​​.

[0075] Among them, the data acquisition module 310 is used to obtain the raw material inspection batches, feed material batches, mixture inspection batches, finished product inspection batches and production process parameters of the sintering process; the first association matching module 320 is used to establish a first association matching relationship between the mixture components and the raw material inspection batches based on the feed material batches and the raw material inspection batches; the second association matching module 330 is used to establish a second association matching relationship between the finished product inspection batches and the mixture material ratio, wherein the second association matching relationship is a time-lag association matching relationship; the third association matching module 340 is used to establish a third association matching relationship between the finished product inspection batches and the raw material inspection batches; the fourth association matching module 350 is used to establish a fourth association matching relationship between the finished product inspection batches and the production process parameters; the detection and analysis module 360 ​​is used to analyze based on the first association matching relationship, the second association matching relationship, the third association matching relationship and the fourth association matching relationship if the quality of the sintered product is detected to be abnormal, so as to determine the key factors affecting the quality of the sintered product.

[0076] It should be noted that the sintered product quality tracing device provided in the above embodiment and the sintered product quality tracing method provided in the above embodiment are based on the same concept, wherein the specific manner in which each module and unit performs operations has been described in detail in the method embodiment and will not be repeated here. In actual applications, the sintered product quality tracing device provided in the above embodiment can allocate the above functions to different functional modules as needed, that is, divide the internal structure of the device into different functional modules to complete all or part of the functions described above, and this is not limited here.

[0077] An embodiment of the present application also provides an electronic device, comprising: one or more processors; a storage device for storing one or more programs, wherein when the one or more programs are executed by the one or more processors, the electronic device implements the sintered product quality traceability method provided in the above-mentioned embodiments.

[0078] Figure 4 The following is a schematic diagram showing the structure of a computer system suitable for implementing an electronic device according to an embodiment of the present application. Figure 4 The computer system 400 of the electronic device shown is only an example and should not bring any limitation to the functions and scope of use of the embodiments of the present application.

[0079] like Figure 4As shown, computer system 400 includes a central processing unit (CPU) 401, which can perform various appropriate actions and processes, such as executing the methods provided in the various embodiments described above, based on programs stored in read-only memory (ROM) 402 or programs loaded from storage 408 into random access memory (RAM) 403. RAM 403 also stores various programs and data required for system operation. CPU 401, ROM 402, and RAM 403 are interconnected via bus 404. An input / output (I / O) interface 405 is also connected to bus 404.

[0080] The following components are connected to the I / O interface 405: an input section 406 including a keyboard, mouse, and the like; an output section 407 including devices such as a cathode ray tube (CRT), a liquid crystal display (LCD), and speakers; a storage section 408 including devices such as a hard disk; and a communication section 409 including a network interface card such as a LAN (Local Area Network) card or a modem. The communication section 409 performs communication processing via a network such as the Internet. A drive 410 is also connected to the I / O interface 405 as needed. Removable media 411, such as a magnetic disk, an optical disk, a magneto-optical disk, or a semiconductor memory, is installed in the drive 410 as needed, so that computer programs read from the media can be installed in the storage section 408 as needed.

[0081] In particular, according to embodiments of the present application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of the present application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program including a computer program for executing the methods illustrated in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via the communication section 409 and / or installed from removable media 411. When executed by the central processing unit (CPU) 401, the computer program performs the various functions defined in the system of the present application.

[0082] It should be noted that the computer-readable medium described in the embodiments of this application may be a computer-readable signal medium or a computer-readable storage medium, or any combination thereof. A computer-readable storage medium may, for example, be an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or component, or any combination thereof. More specific examples of computer-readable storage media may include, but are not limited to, an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof. In this application, a computer-readable signal medium may include a data signal propagated in baseband or as part of a carrier wave, carrying a computer-readable computer program. This propagated data signal may take a variety of forms, including, but not limited to, an electromagnetic signal, an optical signal, or any suitable combination thereof. A computer-readable signal medium may also be any computer-readable medium other than a computer-readable storage medium that can transmit, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. A computer program embodied on a computer-readable medium may be transmitted using any suitable medium, including but not limited to wireless, wired, or any suitable combination thereof.

[0083] The flowcharts and block diagrams in the accompanying drawings illustrate the possible implementation architecture, functions and operations of the systems, methods and computer program products according to various embodiments of the present application. Among them, each box in the flowchart or block diagram can represent a module, program segment, or part of the code, and the above-mentioned module, program segment, or part of the code contains one or more executable instructions for implementing the specified logical function. It should also be noted that in some alternative implementations, the functions marked in the box can also occur in an order different from that marked in the accompanying drawings. For example, two boxes represented in succession can actually be executed substantially in parallel, and they can sometimes be executed in the opposite order, depending on the functions involved. It should also be noted that each box in the block diagram or flowchart, and the combination of boxes in the block diagram or flowchart, can be implemented with a dedicated hardware-based system that performs the specified function or operation, or can be implemented with a combination of dedicated hardware and computer instructions.

[0084] The units involved in the embodiments described in this application may be implemented by software or hardware, and the units described may also be set in a processor. In some cases, the names of these units do not constitute limitations on the units themselves.

[0085] Another aspect of the present application provides a computer-readable storage medium having a computer program stored thereon. When executed by a computer processor, the computer program causes the computer to perform the sintered product quality traceability method provided in the above-described embodiments. The computer-readable storage medium may be included in the electronic device described in the above-described embodiments, or may exist independently and not be incorporated into the electronic device.

[0086] It should be noted that, although several modules or units of the device for action execution are mentioned in the above detailed description, this division is not mandatory. In fact, according to the embodiment of the application, the features and functions of two or more modules or units described above can be concretized in one module or unit. On the contrary, the features and functions of one module or unit described above can be further divided into multiple modules or units to be concretized.

[0087] Another aspect of the present application provides a computer program product or computer program, which includes computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the sintered product quality traceability method provided in each of the above embodiments.

[0088] Through the description of the above embodiments, it is easy for those skilled in the art to understand that the example embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solution according to the embodiments of the present application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (which can be a CD-ROM, a USB flash drive, a mobile hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which can be a personal computer, a server, a touch terminal, or a network device, etc.) to execute the method according to the embodiments of the present application.

[0089] Those skilled in the art will readily conceive of other embodiments of the present application after considering the specification and practicing the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of the present application that follow the general principles of this application and include common knowledge or customary techniques in the art that are not disclosed herein.

[0090] The above embodiments are merely illustrative of the principles and effects of this application and are not intended to limit this application. Anyone skilled in the art may modify or alter the above embodiments without departing from the spirit and scope of this application. Therefore, any equivalent modifications or alterations made by a person of ordinary skill in the art without departing from the spirit and technical concepts disclosed in this application shall be covered by the claims of this application.

Claims

1. A method for tracing the quality of sintered finished products, characterized in that: include: Obtain raw material inspection batches, feed material batches, finished product inspection batches and production process parameters for the sintering process; Establishing a first association matching relationship between the components of the mixed material and the raw material inspection batch based on the feed material batch and the raw material inspection batch; Establishing a second association and matching relationship between the finished product inspection batch and the mixed material ratio, wherein the second association and matching relationship is a time-lagged association and matching relationship; Establishing a third association matching relationship between the finished product inspection batch and the raw material inspection batch; Establishing a fourth correlation and matching relationship between the finished product inspection batch and the production process parameter; If the quality of the sintered product is detected to be abnormal, an analysis is performed based on the first correlation matching relationship, the second correlation matching relationship, the third correlation matching relationship, and the fourth correlation matching relationship to determine key factors affecting the quality of the sintered product.

2. The sintered product quality tracing method according to claim 1, characterized in that: Establishing a first association and matching relationship between the components of the mixture and the raw material inspection batch based on the feed material batch and the raw material inspection batch includes: Obtain the start feeding time, end feeding time, start feeding bin weight, end feeding bin weight and feeding amount of the target batching bin, and establish the feeding material batch of the target batching bin; Construct an initial material layer based on the spatiotemporal matching of the feed material batch and the raw material inspection batch, and obtain the material layer construction time, feed start bin weight, feed end bin weight, raw material inspection batch, and material layer composition of the initial material layer; Determining a target material layer to be discharged from the initial material layer, and matching the material layer composition of the target material layer to calculate the composition of the mixed material; The first association and matching relationship between the components of the mixed material and the raw material test batch is established.

3. The sintered product quality tracing method according to claim 2, characterized in that: Determining a target discharge material layer from the initial material layer and matching the material layer composition of the target discharge material layer to calculate the composition of the mixed material, including: Predicting the discharge time of the initial material layer according to the material layer construction time, the starting weight of the feed and the average discharge amount; Determine a target material layer from the initial material layer based on the predicted discharge time and the current time, and determine the target discharge material layer based on the cumulative discharge amount of the silo, the feed start silo weight and the feed end silo weight of the target material layer; The composition of the mixed material is calculated based on the set proportion of the silo and the material layer composition of the target discharge material layer in each target silo.

4. The sintered product quality tracing method according to claim 1, characterized in that: Establishing a second correlation and matching relationship between the finished product inspection batch and the mixed material ratio includes: If changes are detected in the mixture inspection batch and the mixture material ratio, a mixture change point is established; By calculating the total processing time from the silo unloading point to the sinter ore sampling location, the finished product off-line time corresponding to the mixture change point is calculated; Matching the sampling time of the finished product inspection batch with the finished product off-line time, and determining the sintered finished product that matches the finished product inspection batch based on the matching result; If the finished product off-line time is matched with the finished product inspection batch to obtain a target inspection batch, then the mixture change point corresponding to the finished product off-line time is determined to match the target inspection batch; A second associative matching relationship between the finished product inspection batch and the mixed material ratio is established.

5. The sintered product quality tracing method according to claim 4, characterized in that: If changes are detected in the mixture test batch and the mixture material ratio, a mixture change point is established, including: Obtain the outgoing material inspection batches of each target batching silo and determine the composition of the inspection batches of the same material; If a new material batch is determined to be added based on the composition of the same material inspection batch, and the proportion of the material amount of the material batch relative to the total amount of the mixed material is greater than a preset proportion threshold, then it is determined that the mixed material inspection batch has changed, and a mixed material batch change point is established; Calculate the total proportion of the same materials of various materials based on the set proportions of each silo. If a change in the total proportion of any of the same materials is detected, it is determined that the mixture material ratio has changed, and a mixture ratio change point is established; The mixture change point is constructed based on the mixture batch change point and the mixture ratio change point, and the change point parameters of the mixture change point are recorded, wherein the change point parameters include change time, material ratio and material inspection batch composition.

6. The sintered product quality tracing method according to claim 4, characterized in that: Establishing a third association matching relationship between the finished product inspection batch and the raw material inspection batch includes: Obtain the mixture change point corresponding to the finished product inspection batch, and obtain the material inspection batch composition corresponding to the mixture change point; Determine, based on the sintered finished products that match the finished product inspection batch, the sintered finished products that match the mixture change point, and further determine the matching relationship between the mixture change point and the sintered finished products; The third associative matching relationship between the finished product inspection batch and the raw material inspection batch is established based on the matching relationship.

7. The method for tracing the quality of sintered finished products according to any one of claims 1 to 6, characterized in that: Establishing a fourth correlation and matching relationship between the finished product inspection batch and the production process parameter includes: Based on the mixture change point corresponding to the finished product inspection batch, obtaining the change time of the mixture change point, and establishing the change period based on the change time; Determining a target change point from the mixture change points, calculating a first time difference between a finished product off-line time corresponding to the target change point and a first sampling time, and calculating a second time difference between a finished product off-line time corresponding to the target change point and a second sampling time; Obtaining a matching period based on the change period, the first time difference, and the second time difference; Acquire the production process parameters within the matching period, and establish the fourth association matching relationship between the finished product inspection batch and the production process parameters.

8. A sintered product quality tracing device, characterized in that: include: Data acquisition module, used to obtain raw material inspection batches, feed material batches, finished product inspection batches and production process parameters of the sintering process; A first association matching module is used to establish a first association matching relationship between the components of the mixed material and the raw material inspection batch based on the feed material batch and the raw material inspection batch; A second association matching module is used to establish a second association matching relationship between the finished product inspection batch and the mixed material ratio, wherein the second association matching relationship is a time-lag association matching relationship; A third association matching module is used to establish a third association matching relationship between the finished product inspection batch and the raw material inspection batch; a fourth correlation matching module, configured to establish a fourth correlation matching relationship between the finished product inspection batch and the production process parameters; The detection and analysis module is used to analyze the first association matching relationship, the second association matching relationship, the third association matching relationship and the fourth association matching relationship to determine the key factors affecting the quality of the sintered product if the quality of the sintered product is detected to be abnormal.

9. An electronic device, characterized in that: The electronic device comprises: one or more processors; A storage device for storing one or more programs, which, when executed by the one or more processors, enables the electronic device to implement the sintered product quality tracing method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that A computer program is stored thereon, and when the computer program is executed by a processor of a computer, the computer is caused to execute the sintered product quality tracing method according to any one of claims 1 to 7.

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