A method and system for classifying and temporarily estimating the moisture content of raw materials entering the factory

Abstract

The present invention relates to a method and system for classifying and temporarily estimating the moisture content of incoming raw materials. The method comprises: pre-classifying the varieties of bulk raw materials and fuels, establishing relationships between varieties and categories, and temporary moisture content estimates corresponding to the categories; recording information such as the purchased product name, arrival season, and arrival weight when the bulk raw materials and fuels are purchased and delivered to the factory; updating the temporary moisture content estimates according to seasonal changes; matching the temporary moisture content corresponding to the variety's category from the revised temporary moisture content estimates; and detecting the actual moisture content of each variety during actual storage, calculating the error between the actual moisture content and the temporary moisture content for each variety, and updating the temporary moisture content for each variety based on the absolute value of the error. This solution improves the accuracy of bulk raw material inventory data and facilitates production guidance.

Description

Technical Field

[0001] The invention belongs to the field of ironmaking and relates to a method and system for classifying and temporarily estimating the moisture content of raw materials entering a factory. Background Art

[0002] Bulk raw materials purchased at the factory require prompt warehousing management after unloading. The incoming weight must be the dry weight, minus the moisture content. Generally, moisture levels cannot be detected immediately after unloading. Therefore, a provisional moisture estimate is assigned to incoming raw materials upon entry. Once the actual moisture content of the incoming raw materials is determined, the estimated moisture content is corrected and the incoming materials are re-entered based on the actual moisture content. The greater the discrepancy between the provisional moisture value and the actual measured value, the less accurate the incoming quantity, hindering production guidance.

[0003] The incoming moisture content of bulk raw materials varies across different companies. If all materials were provisionally estimated using a uniform moisture content, this would result in significant fluctuations in the dry-basis volume entering inventory. Furthermore, existing provisional estimation schemes ignore the seasonal impact on incoming moisture content. During the rainy season, incoming moisture content is generally higher, while during the dry season, it is generally lower. Existing technology is unable to timely adjust provisional moisture content based on the actual conditions of different material types. This results in significant deviations between provisional and actual moisture content, inaccurate inventory data for bulk raw materials, and impacts normal production. Summary of the Invention

[0004] In view of this, the purpose of the present invention is to provide a method and system for classifying and temporarily estimating the moisture content of raw materials entering the factory, so as to make timely adjustments to the estimated moisture content of different types of materials according to actual conditions, thereby improving the accuracy of bulk raw material inventory data and avoiding affecting normal production.

[0005] In order to achieve the above object, the present invention provides the following technical solutions:

[0006] A method for temporarily estimating the moisture content of incoming raw materials comprises the following steps:

[0007] S1. Classify the types of bulk raw materials and fuels, divide different types into different categories, establish the relationship between the types and categories, and establish the temporary estimation relationship of the moisture content entering the factory corresponding to the categories;

[0008] S2. When bulk raw materials and fuels arrive at the factory, record the arrival information, including the purchased product name, arrival date, and arrival weight;

[0009] S3. Determine the corresponding arrival season based on the arrival date, compare the arrival season of the current bulk raw material with the historical arrival season of the most recent purchase, and update the estimated arrival moisture relationship based on the change in arrival season to obtain the seasonally adjusted estimated arrival moisture relationship;

[0010] S4. Determine the category of the new resource variety based on the variety category relationship, and match the corresponding estimated moisture content from the seasonally corrected factory moisture content estimate relationship;

[0011] S5. Detect the actual moisture content of each variety;

[0012] S6. Calculate the error between the actual moisture and the estimated moisture corresponding to each variety. When the absolute value of the error is greater than a preset error standard, update the estimated moisture corresponding to the variety.

[0013] Furthermore, in S1, the provisional estimated moisture relationship of the incoming moisture includes: the provisional estimated moisture of coking coal is 10%, the provisional estimated moisture of fat coal is 10%, the provisional estimated moisture of gas coal is 7%, the provisional estimated moisture of lean coal is 9%, the provisional estimated moisture of 1 / 3 coking coal is 9%, the provisional estimated moisture of high-moisture sintered coal is 13%, the provisional estimated moisture of medium-moisture sintered coal is 10%, the provisional estimated moisture of low-moisture sintered coal is 7%, the provisional estimated moisture of high-moisture pulverized coal injection coal is 13%, the provisional estimated moisture of medium-moisture pulverized coal injection coal is 10%, the provisional estimated moisture of low-moisture pulverized coal injection coal is 7%, the provisional estimated moisture of lump ore is 5%, the provisional estimated moisture of fine ore is 8%, the provisional estimated moisture of pellet ore is 3%, the provisional estimated moisture of flux is 0%, the provisional estimated moisture of purchased dry quenched coke is 3%, and the provisional estimated moisture of purchased wet quenched coke is 6%.

[0014] Furthermore, the entry season is divided into normal season, rainy season and dry season according to the historical rainfall in the month when the bulk raw materials enter the plant; when the historical rainfall is 0, it is the dry season; when the historical rainfall meets the meteorological requirements of a rainstorm, it is the rainy season, and otherwise it is the normal season;

[0015] In S3, if the change is from the rainy season to the normal season, or from the normal season to the dry season, the estimated moisture content is corrected by -3%; if the change is from the dry season to the normal season, or from the normal season to the rainy season, the estimated moisture content is corrected by +3%; if the change is no seasonal change, the estimated moisture content is corrected by 0%. In this solution, the definition of heavy rain complies with the national meteorological standard "Precipitation Grades," i.e., rainfall of 16 mm or more per hour, 30 mm or more for 12 consecutive hours, or 50 mm or more for 24 hours is considered "heavy rain."

[0016] Furthermore, the preset error standard is 2%.

[0017] Furthermore, in S6, if the absolute value of the error for more than 50% of the varieties in a certain category exceeds the preset error standard, the estimated moisture content corresponding to the category of the variety is corrected. If the estimated moisture content of a large number of varieties has a large error compared to the actual moisture content, that is, the estimated moisture content corresponding to the category is inaccurate, correcting it can improve the accuracy of the estimated moisture content.

[0018] Furthermore, in S6, if there is a variety in any of the categories of high-moisture sintered coal, medium-moisture sintered coal, low-moisture sintered coal, high-moisture PCI coal, medium-moisture PCI coal, and low-moisture PCI coal that meets the process adjustment condition, the correspondence between the variety and the category is modified based on the provisional estimated moisture; the process adjustment condition is that within the same cycle, 90% of the incoming weight of the variety meets the absolute value of the error greater than the preset error standard. When a variety in the above categories has a large provisional estimated error for a long time, it means that the production process of the variety has changed, resulting in a change in the category corresponding to the variety. For example, due to process reasons, the moisture content of medium-moisture sintered coal No. 13 has increased, no longer meeting the moisture range of medium-moisture sintered coal, but instead meeting the moisture range of high-moisture sintered coal. In this case, the correspondence between the variety and the category is modified to improve the accuracy of the provisional estimate.

[0019] Furthermore, in S6, if the error is positive, the provisional estimated moisture correction value is positive; if the error is negative, the provisional estimated moisture correction value is negative.

[0020] A system for classifying and temporarily estimating moisture content of incoming raw materials, applying the above-mentioned method for classifying and temporarily estimating moisture content of incoming raw materials, storing the relationship between the variety categories and the relationship between the incoming moisture content in a table format;

[0021] The provisional estimation system is connected to the raw material incoming storage information management system. When purchasing bulk raw materials and fuels, the provisional estimation system first calculates the provisional dry basis incoming storage weight based on the wet basis incoming factory weight and the provisional estimated moisture content of each variety, and enters the dry basis incoming storage weight into the raw material incoming storage information management system. When the actual moisture content is detected and the actual storage is carried out, the provisional estimated dry basis incoming storage weight is first negatively entered into the raw material incoming storage information management system, and then the actual dry basis incoming storage weight is calculated based on the wet basis incoming factory weight and the actual moisture content of each variety, and the actual dry basis incoming storage weight is saved in the raw material incoming storage information management system.

[0022] Furthermore, the variety category relationship and the factory moisture estimation relationship are stored in two independent tables respectively.

[0023] Furthermore, the provisional estimation system includes a modification module, a query module and an approval module;

[0024] The modification module is used to add or modify the variety category relationship and the factory moisture estimation relationship according to external input;

[0025] The query module is used to search and match the relationship between the variety category and the estimated moisture content of the incoming goods based on the purchased goods name, variety, category and estimated moisture content as keywords;

[0026] The approval module is used to set and approve the permissions for adding, modifying and querying.

[0027] The beneficial effects of the present invention are:

[0028] The present invention combines the classification of bulk raw and fuel varieties and the relationship between the estimated moisture content corresponding to the classification to realize the classification of bulk raw and fuel and realize personalized and timely estimation of moisture content according to the classification, thereby ensuring the accuracy of the incoming weight of bulk raw and fuel; solving the problem of large differences in moisture content entering the factory for different types of materials and in different seasons, providing the accuracy of the estimated moisture value, reducing the deviation between the estimated moisture content and the actual moisture content, and avoiding adverse effects on production.

[0029] Other advantages, objects, and features of the present invention will be described in part in the following description and, in part, will be apparent to those skilled in the art upon examination of the following description or may be learned from practice of the present invention. The objects and other advantages of the present invention may be realized and obtained through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0030] In order to make the purpose, technical solutions and advantages of the present invention more clear, the present invention will be described in detail below with reference to the accompanying drawings, in which:

[0031] Figure 1 The present invention provides a flow chart of a method for temporarily estimating the moisture content of incoming raw materials. DETAILED DESCRIPTION

[0032] The following describes the embodiments of the present invention by means of specific examples, and those skilled in the art can easily understand other advantages and effects of the present invention from the contents disclosed in this specification. The present invention 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 invention. It should be noted that the illustrations provided in the following embodiments are only schematic illustrations of the basic concept of the present invention, and the following embodiments and features in the embodiments can be combined with each other without conflict.

[0033] Among them, the accompanying drawings are only for illustrative purposes and represent only schematic diagrams rather than actual pictures, and should not be understood as limiting the present invention. In order to better illustrate the embodiments of the present invention, some parts of the accompanying drawings may be omitted, enlarged or reduced, and do not represent the dimensions of actual products. For those skilled in the art, it is understandable that some well-known structures and their descriptions may be omitted in the accompanying drawings.

[0034] The same or similar numbers in the drawings of the embodiments of the present invention correspond to the same or similar parts; in the description of the present invention, it should be understood that if there are terms such as "upper", "lower", "left", "right", "front", "back", etc. indicating directions or positional relationships, they are based on the directions or positional relationships shown in the drawings. They are only for the convenience of describing the present invention and simplifying the description, and do not indicate or imply that the device or element referred to must have a specific direction, be constructed and operate in a specific direction. Therefore, the terms describing the positional relationship in the drawings are only used for illustrative purposes and cannot be understood as limiting the present invention. For ordinary technicians in this field, the specific meanings of the above terms can be understood according to specific circumstances.

[0035] See also Figure 1 The figure shows a method for temporarily estimating the moisture content of incoming raw materials, which includes the following steps:

[0036] S1. Classify the types of bulk raw materials and fuels, divide different types into different categories, establish the relationship between the types and categories, and establish the temporary estimation relationship of the moisture content entering the factory corresponding to the categories;

[0037] S2. When bulk raw materials and fuels arrive at the factory, record the arrival information, including the purchased product name, arrival date, and arrival weight;

[0038] S3. Determine the corresponding arrival season based on the arrival date, compare the arrival season of the current bulk raw material with the historical arrival season of the most recent purchase, and update the estimated arrival moisture relationship based on the change in arrival season to obtain the seasonally adjusted estimated arrival moisture relationship;

[0039] S4. Determine the category of the new resource variety based on the variety category relationship, and match the corresponding estimated moisture content from the seasonally corrected factory moisture content estimate relationship;

[0040] S5. Detect the actual moisture content of each variety;

[0041] S6. Calculate the error between the actual moisture and the estimated moisture corresponding to each variety. When the absolute value of the error is greater than a preset error standard, update the estimated moisture corresponding to the variety.

[0042] In Example 1, based on the coal variety requirements of steel enterprises, incoming bulk raw materials are categorized into the following categories: coking coal, fat coal, gas coal, lean coal, 1 / 3 coking coal, high-moisture sintered coal, medium-moisture sintered coal, low-moisture sintered coal, high-moisture PCI coal, medium-moisture PCI coal, low-moisture PCI coal, lump ore, fine ore, pellets, flux, purchased dry quenched coke, and purchased wet quenched coke. Based on the actual measured moisture content of each category in recent historical data, a provisional estimate of incoming moisture content is established, as shown in Table 1.

[0043] Table 1 - Temporary estimation of moisture content at the factory

[0044] category Temporary estimated moisture, % coking coal 10 fat coal 10 gas coal 7 1 / 3 coking coal 9 lean coal 9 High moisture sintered coal 13 Medium moisture sintered coal 10 Low moisture sintered coal 7 High-moisture PCI coal 13 Medium moisture PCI 10 Low moisture PCI coal 7 Lump ore 5 Powder ore 8 Pellets 3 flux 0 Purchased dry quenching coke 3 Purchased wet quenching 6

[0045] With a preset error standard of 2%, assume a steel company purchases a bulk batch of raw materials consisting of only one type, wet-quenched coke #99, classified as such. 2,000 tons are delivered during the rainy season, including the most recent batch. Since the delivery season remains unchanged, a 0% seasonal correction is applied to the provisional moisture estimate. This means no correction is applied.

[0046] When the purchased wet-quenched coke No. 99 is unloaded and provisionally estimated, the provisional moisture content is estimated based on the provisional moisture content of 6% corresponding to the purchased wet-quenched coke.

[0047] After testing the moisture content, the actual moisture content of the purchased wet-quenched coke No. 99 was 6.5%, and the error between this and the estimated moisture content was:

[0048] 6.5%-6%=0.5%, the absolute value is less than the preset error standard of 2%;

[0049] If there are four varieties in the purchased wet-quenched coke category, except for the currently purchased wet-quenched coke No. 99, which does not meet the update conditions, the absolute values of the errors of the other three varieties do not exceed 2%. Therefore, the condition of "more than 50% of the varieties have absolute values of errors greater than the preset error standard" is not met, and therefore the estimated moisture corresponding to the category does not need to be updated.

[0050] Since purchased wet-quenched coke does not belong to the analogies classified by moisture such as high-moisture sintered coal, medium-moisture sintered coal, low-moisture sintered coal, high-moisture pulverized coal injection coal, medium-moisture pulverized coal injection coal and low-moisture pulverized coal injection coal, it does not meet the correction conditions for the correspondence between varieties and categories and does not need to be reclassified into variety categories.

[0051] In Example 2, the only difference from Example 1 is that, assuming the purchased variety is sintered coal No. 1, it is classified as medium-moisture sintered coal upon entering the factory. Based on the temporary estimate of moisture upon entering the factory, under normal circumstances, the moisture upon entering the factory should be 10%. In actual moisture detection, its moisture upon entering the factory is 13%, which is greater than the preset error standard of 2%. Therefore, it is necessary to adjust the classification of this variety and include it in the high-moisture sintered coal category. In this embodiment, as in the previous embodiment, the season has not changed. At this time, the moisture content of the categories classified by moisture content (such as high-moisture sintered coal, medium-moisture sintered coal, low-moisture sintered coal, high-moisture pulverized coal injection coal, medium-moisture pulverized coal injection coal, and low-moisture pulverized coal injection coal, etc.) changes due to changes in production process adjustments. Therefore, the category is corrected to improve the accuracy of the temporary estimate.

[0052] In Example 3, the only difference from Example 1 is that, assuming a change in season from the dry season to the rainy season, the moisture content corresponding to each category is corrected by +3% based on the estimated moisture content at the factory. For example, if the moisture content of the coking coal category is generally 10%, it will be corrected to 13% before the estimated moisture content; if the moisture content of the gas coal category is originally 7%, it will be corrected to 10% before the estimated moisture content.

[0053] In the fourth embodiment, based on the first embodiment, a system for classifying and temporarily estimating the moisture content of incoming raw materials is adopted to implement the above-mentioned method for classifying and temporarily estimating the moisture content of incoming raw materials.

[0054] The temporary estimation system stores the relationship between the variety categories and the temporary estimation relationship of the incoming moisture content in a table format, and saves the data in two independent tables, namely the temporary estimation relationship table of incoming moisture content and the variety category relationship table;

[0055] The provisional estimation system is connected to the raw material storage information management system. When purchasing the purchased wet quenched coke No. 99, the provisional estimation system first calculates the provisional dry basis storage weight based on the wet basis storage weight of 2000 tons and the provisional moisture content of 6% of the purchased wet quenched coke No. 99.

[0056] That is, the estimated dry basis storage weight is: 2000*(1-6%)=1880 tons;

[0057] According to the provisional estimated dry basis incoming weight, 1,880 tons of purchased wet-quenched coke No. 99 are entered into the raw material incoming information management system. After the actual moisture content test results are released, a red flush is performed in the raw material incoming information management system. Then, the actual incoming dry basis weight is calculated based on the wet basis incoming weight and actual moisture content of each variety. The actual incoming dry basis weight is stored in the raw material incoming information management system.

[0058] Among them, red flush refers to data red flush, that is, the provisional estimation system first inputs the calculated provisional dry basis incoming weight into the raw material incoming information management system. When the actual moisture content is detected to be 6.5%, the actual incoming weight is calculated to be 2000*(1-6.5%)=1870 tons; at this time, the provisional estimation system inputs -1880 tons into the raw material incoming information management system, and then inputs 1870 tons for storage.

[0059] The provisional estimation system includes a modification module, a query module and an approval module;

[0060] The modification module is used to add or modify the variety category relationship and the factory moisture estimation relationship according to external input;

[0061] The query module is used to search and match the relationship between the variety category and the estimated moisture content of the incoming goods based on the purchased goods name, variety, category and estimated moisture content as keywords;

[0062] The approval module is used to set and approve the permissions for adding, modifying and querying. The creation or modification of variety categories, as well as the creation and modification of estimated moisture, must be reviewed and confirmed before the system will execute. They will not be executed without review.

[0063] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not limiting. Although the present invention has been described in detail with reference to the preferred embodiments, those skilled in the art should understand that the technical solutions of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solutions, which should all be included in the scope of the claims of the present invention.

Claims

1. A method for classifying and temporarily estimating the moisture content of incoming raw materials, characterized in that: The following steps are involved: S1. Classify the varieties of bulk raw materials and fuels, and divide different varieties into different categories; establish the relationship between variety categories, and establish the temporary estimation relationship of the moisture content at the factory corresponding to the category. S2. When bulk raw materials and fuels arrive at the factory, record the arrival information, including the purchased product name, arrival date, and wet basis arrival weight; S3. Determine the corresponding arrival season based on the arrival date, compare the arrival season of the current bulk raw material with the historical arrival season of the most recent purchase, and update the estimated arrival moisture relationship based on the change in arrival season to obtain the seasonally adjusted estimated arrival moisture relationship; S4. Determine the category of the new resource variety based on the variety category relationship, and match the corresponding estimated moisture content from the seasonally corrected factory moisture content estimate relationship; S5. Detect the actual moisture content of each variety; S6. Calculate the error between the actual moisture content and the estimated moisture content for each variety. When the absolute value of the error is greater than a preset error standard, update the estimated moisture content for the variety. The entry season is divided into normal season, rainy season and dry season according to the historical rainfall in the month when the bulk raw materials enter the plant; when the historical rainfall is 0, it is the dry season; when the historical rainfall meets the meteorological requirements of a rainstorm, it is the rainy season; otherwise, it is the normal season; In S3, if the change is from the rainy season to the normal season, or from the normal season to the dry season, the estimated moisture is corrected by -3%; If the change is from dry season to normal season, or from normal season to rainy season, the estimated moisture content will be corrected by +3%; if the change is that there is no seasonal change, the estimated moisture content will be corrected by 0%.

2. The method for temporarily estimating moisture content of incoming raw materials according to claim 1, wherein: In S1, the provisional estimated moisture relationship of the incoming moisture includes: the provisional estimated moisture of coking coal is 10%, the provisional estimated moisture of fat coal is 10%, the provisional estimated moisture of gas coal is 7%, the provisional estimated moisture of lean coal is 9%, the provisional estimated moisture of 1 / 3 coking coal is 9%, the provisional estimated moisture of high-moisture sintered coal is 13%, the provisional estimated moisture of medium-moisture sintered coal is 10%, the provisional estimated moisture of low-moisture sintered coal is 7%, the provisional estimated moisture of high-moisture PCI coal is 13%, the provisional estimated moisture of medium-moisture PCI coal is 10%, the provisional estimated moisture of low-moisture PCI coal is 7%, the provisional estimated moisture of lump ore is 5%, the provisional estimated moisture of fine ore is 8%, the provisional estimated moisture of pellet ore is 3%, the provisional estimated moisture of flux is 0%, the provisional estimated moisture of purchased dry quenched coke is 3%, and the provisional estimated moisture of purchased wet quenched coke is 6%.

3. The method for temporarily estimating moisture content of incoming raw materials according to claim 1, wherein: The preset error standard is 2%.

4. The method for temporarily estimating moisture content of incoming raw materials according to claim 3, wherein: In S6, when the absolute value of the error of more than 50% of the varieties in a certain category is greater than the preset error standard, the estimated moisture corresponding to the category is corrected.

5. The method for classifying and temporarily estimating moisture content of incoming raw materials according to claim 3, wherein: In S6, if there is a variety in any of the categories of high-moisture sintered coal, medium-moisture sintered coal, low-moisture sintered coal, high-moisture pulverized coal injection coal, medium-moisture pulverized coal injection coal and low-moisture pulverized coal injection coal that meets the process adjustment condition, the correspondence between the variety and the category is corrected according to the estimated moisture; the process adjustment condition is that within the same period, 90% of the wet basis in-factory weight of the variety meets the absolute value of the error greater than the preset error standard.

6. The method for classifying and temporarily estimating moisture content of incoming raw materials according to claim 4, characterized in that: In S6 , if the error is positive, the temporary estimated moisture correction value is positive; if the error is negative, the temporary estimated moisture correction value is negative.

7. A system for classifying and temporarily estimating moisture content of incoming raw materials, characterized by: The system applies the method for classifying and temporarily estimating the moisture content of raw materials entering the factory as described in any one of claims 1 to 6, and stores the relationship between the variety categories and the temporary estimated moisture content of raw materials entering the factory in a table; The provisional estimation system is connected to the raw material incoming information management system. When purchasing bulk raw materials and fuels, the provisional estimation system first calculates the provisional dry basis incoming weight based on the actual incoming weight and provisional estimated moisture content of each variety, and enters the dry basis incoming weight into the raw material incoming information management system. When the actual moisture content is detected and the actual incoming weight is entered into the raw material incoming information management system, the provisional estimation dry basis incoming weight is first negatively entered into the raw material incoming information management system, and then the actual dry basis incoming weight is calculated based on the wet basis incoming weight and actual moisture content of each variety, and the actual dry basis incoming weight is saved in the raw material incoming information management system.

8. The system for classifying and temporarily estimating moisture content of incoming raw materials according to claim 7, characterized in that: The variety category relationship and the factory moisture estimation relationship are stored in two independent tables respectively.

9. The system for classifying and temporarily estimating moisture content of incoming raw materials according to claim 7, characterized in that: The provisional estimation system includes a modification module, a query module and an approval module; The modification module is used to add or modify the variety category relationship and the factory moisture estimation relationship according to external input; The query module is used to search and match the relationship between the variety category and the estimated moisture content of the incoming goods based on the purchased goods name, variety, category and estimated moisture content as keywords; The approval module is used to set and approve the permissions for adding, modifying and querying.

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