Batching early warning and evaluation system applied to production process of rotary hearth furnace

Abstract

The invention relates to a batching early warning evaluation system applied to the production process of a rotary hearth furnace, and belongs to the field of intelligent early warning of rotary hearth furnace production, and the system comprises a database module which stores raw material ash detection data, raw material ash production data and vehicle weighing data; the DCS system module is used for setting and storing a carbon content standard value, an alarm upper and lower limit value, a zinc content standard value, an alarm upper and lower limit value, material theoretical use time and an alarm value; the data processing module is used for reading data of the database module and the stock bin flow sensors, and calculating the carbon blending amount or the zinc blending amount, the total discharging amount, the material use time and the raw material weight after mixing through a configurable blending calculation table; the data evaluation module is used for evaluating the current raw material use time and the carbon addition amount or the zinc addition amount; the acousto-optic early warning module receives an early warning command of the data evaluation module and outputs an early warning signal through the sound module and the optical display module.

Description

Technical Field

[0001] The invention belongs to the field of intelligent early warning of rotary hearth furnace production, and relates to a batching early warning evaluation system used in the production process of a rotary hearth furnace. Background Art

[0002] Iron-containing dust is a solid waste with high iron content in the steel production process. Using a rotary hearth furnace to treat iron-containing dust is one of the more economical and environmentally friendly methods. The raw materials of the rotary hearth furnace treatment process include dust with high free calcium oxide content, other dust containing different iron, zinc and other chemical elements, and binders. Among them, free calcium oxide needs to be digested with water and then added to the mixed raw materials; the whole process uses the carbon in the mixed raw materials as a reducing agent to participate in the reaction, and the proportion of zinc content in the mixed material will affect the output and economic value of the value-added product zinc oxide.

[0003] The quality of batching and mixing will affect the entire production process and product quality, and the rationality and timeliness of the carbon and zinc content in the raw materials are the key to the entire batching system. At present, the raw material warehouse of the rotary hearth furnace will store multiple batches of raw material ash, and the carbon and zinc content of each batch of raw material ash may vary greatly. In the actual production process, the inability to timely evaluate the carbon and zinc content of the mixed material and the use time of each raw material will cause production abnormalities, fluctuations in indicators and affect the output of value-added products. Summary of the invention

[0004] In view of this, an object of the present invention is to provide a batching early warning and evaluation system for use in a rotary hearth furnace production process.

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

[0006] A batching early warning and evaluation system used in a rotary hearth furnace production process, comprising a database module, a DCS system module, a data processing module, an acoustic and optical early warning module, and a data evaluation module;

[0007] The database module stores raw ash detection data, raw ash production data and vehicle weighing data;

[0008] The DCS system module is used to set and store the standard value and upper and lower alarm limits of carbon content, the standard value and upper and lower alarm limits of zinc content, the theoretical use time of materials and their alarm values;

[0009] The data processing module is used to read the data from the database module and the flow sensors of each silo, and calculate the carbon or zinc amount after mixing, the total material discharge amount, the material use time and the raw material weight through the configurable material calculation table;

[0010] The data evaluation module is used to evaluate the current raw material usage time and carbon content or zinc content;

[0011] The sound and light warning module receives the warning command from the data evaluation module and outputs a warning signal through the sound module and the light display module.

[0012] Further, the raw material ash test data includes the name of each raw material ash, the batch number of each raw material ash, the carbon content test value, zinc content test value, iron-zinc oxide content test value, digestion material moisture test value and digestion material carbon content test value corresponding to each raw material ash;

[0013] The carbon content detection value, zinc content detection value, and iron-zinc oxide content detection value are detected using a general detection method and a detection instrument; the digestion moisture value is obtained by a drying detection method, and the calculation method is: the weight of the sample before sampling minus the weight of the sample after drying;

[0014] The raw material ash production data includes the name of each raw material ash, the batch number of each raw material ash, the ash bin number, and the bin weight increase value; the bin weight increase value is calculated as follows: bin weight value after ash delivery minus bin weight value before ash delivery;

[0015] The vehicle weighing data includes the name of each raw material ash, the batch number of each raw material ash, the vehicle weight for the first weighing, the vehicle weight for the second weighing, and the raw material weight; raw material weight = vehicle weight for the first weighing - vehicle weight for the second weighing.

[0016] Furthermore, the standard value of carbon content is determined by the iron-zinc oxide content, which is calculated according to the complete reaction between carbon and the iron-zinc oxide content in the mixture, or is taken within the range of 8%-15% as needed; the standard value of zinc content is taken within the range of 0%-5% as needed; the total amount of material discharged is set according to the actual production situation, and the setting range is 0t-50t; the theoretical use time of each batch of materials is the increased value of the warehouse weight or the discharge flow value.

[0017] Further, the data processing module reads the water content of the digestion material, the carbon content of the digestion material, the zinc content of the digestion material, the carbon content of the raw material, the zinc content of the raw material and the moisture value data of the digestion material, and performs the following calculations:

[0018] Carbon content after mixing = (digestion material proportion * (100-digestion material water content) ÷ 100 * digestion material carbon content + raw material 1 carbon content + raw material 2 proportion * raw material 2 carbon content + ... + raw material n proportion * raw material n carbon content) ÷ 100

[0019] Amount of zinc added after mixing = (digestion material addition ratio * (100-digestion material water content) ÷ 100 * digestion material zinc content + raw material 1 zinc content + raw material 2 addition ratio * raw material 2 zinc content + ... + raw material n addition ratio * raw material n zinc content) ÷ 100

[0020] The sum of the proportion of digestion material added and the proportion of raw materials 1 to n added is 100%;

[0021] Calculate the total feeding amount = digestion material feeding amount + raw material 1 feeding amount + ... raw material n feeding amount;

[0022] Calculate the material usage time = warehouse weight increase / hourly material discharge amount;

[0023] Calculate the raw material weight = vehicle's first weighing data - vehicle's second weighing data; at this time, the material usage time = raw material weight ÷ hourly unloading amount.

[0024] Furthermore, the data processing module is also used to calculate the total iron index, sodium oxide index and potassium oxide index, and the formula is as follows:

[0025] Total iron index = (digestion material proportion * (100-digestion material water content) ÷ 100 * digestion material iron content + raw material 1 iron content + raw material 2 proportion * raw material 2 iron content + ... + raw material n proportion * raw material n iron content) ÷ 100

[0026] Sodium oxide index = (digestion material proportion * (100-digestion material water content) ÷ 100 * digestion material sodium oxide content + raw material 1 sodium oxide content + raw material 2 proportion * raw material 2 sodium oxide content + ... + raw material n proportion * raw material n sodium oxide content) ÷ 100

[0027] Potassium oxide index = (digestion material dosage ratio * (100-digestion material water content) ÷ 100 * potassium oxide content in digestion material + potassium oxide content in raw material 1 + raw material 2 dosage ratio * potassium oxide content in raw material 2 + … + raw material n dosage ratio * potassium oxide content in raw material n) ÷ 100.

[0028] Further, the evaluation steps of the data evaluation module are as follows:

[0029] (1) Raw material usage time assessment:

[0030] Calculate the usage time t = warehouse weight increase / hourly material discharge amount;

[0031] Get the feeding time t1;

[0032] Calculate the usage time t2 = t-t1;

[0033] When t2=t, it means that the current batch of materials has been used up;

[0034] Set the alarm value a, and trigger the sound and light warning module when t2=ta;

[0035] The start time of t1 refers to the time when the weighing scale below the silo records data after the feeding starts;

[0036] Compare the material usage time calculated by the data processing module with the material theoretical usage time and its alarm value set in the DCS system module. If it does not exceed the alarm value, the system operates normally. Otherwise, the sound and light warning module is triggered.

[0037] (2) Carbon content assessment and zinc content assessment: The carbon content and zinc content after mixing calculated by the data processing module are compared with the carbon content standard value and alarm upper and lower limits, zinc content standard value and alarm upper and lower limits set in the DCS system module. If they are within the alarm upper and lower limits, the system operates normally. Otherwise, the sound and light warning module is triggered.

[0038] Furthermore, the data evaluation module is also used to evaluate the optimal indicators of the mixture. The conditions for the optimal indicators include: first, ensuring that the carbon content is within the set threshold range; then making the zinc content and total iron content as high as possible, and the sodium oxide and potassium oxide indicators as low as possible. Based on the conditions, the ratio of each raw material ash is adjusted to obtain a mixture with the optimal indicators.

[0039] Furthermore, the optical display module is displayed on the display screen of the DCS system module, using different colors for early warning, as follows:

[0040] Regarding the carbon and zinc content: green means that the carbon and zinc content currently meet the production requirements; orange means that the carbon and zinc content need to be changed within the specified time; red means that the carbon and zinc content no longer meet the requirements and have not been changed in time;

[0041] Regarding the raw material usage time: green means that the material usage time remains outside the warning value; orange means that the material usage time is within the alarm value; red means that the usage time has exceeded the material usage time.

[0042] Furthermore, when the sound and light warning module is triggered, the DCS system module will pop up the ingredient calculation table to determine whether the ingredient ratio needs to be modified.

[0043] The beneficial effects of the present invention are as follows: this solution delivers raw materials with different carbon contents into the raw material bin by pneumatic conveying, and timely adjusts the proportion of raw materials with different carbon contents in the actual production process through the precise use and coordination of the early warning and evaluation system module. At the same time, it can also give a reasonable adjustment ratio through big data calculation, making industrial production more stable and smooth. This solution can: 1) reduce the workload of front-line operators, 2) avoid inaccurate carbon content due to negligence, resulting in substandard product quality, 3) the carbon content is more timely and controllable, which protects production and equipment, and 4) the product indicators are well completed, creating higher economic value.

[0044] Other advantages, objectives and features of the present invention will be described in the following description to some extent, and to some extent, will be obvious to those skilled in the art based on the following examination and study, or can be taught from the practice of the present invention. The objectives and other advantages of the present invention can be realized and obtained through the following description. BRIEF DESCRIPTION OF THE DRAWINGS

[0045] 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 in conjunction with the accompanying drawings, wherein:

[0046] Figure 1 This is a structural diagram of the batching early warning and evaluation system used in the rotary hearth furnace production process according to the present invention. DETAILED DESCRIPTION

[0047] The following describes the embodiments of the present invention by 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 only illustrate the basic concept of the present invention in a schematic manner, and the following embodiments and features in the embodiments can be combined with each other without conflict.

[0048] Among them, the drawings are only used for illustrative explanations, and they only represent schematic diagrams rather than actual pictures, and should not be understood as limitations on the present invention. In order to better illustrate the embodiments of the present invention, some parts of the drawings may be omitted, enlarged or reduced, and do not represent the size of actual products. For those skilled in the art, it is understandable that some well-known structures and their descriptions in the drawings may be omitted.

[0049] 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 the terms "upper", "lower", "left", "right", "front", "rear", etc. indicate the orientation or position relationship, they are based on the orientation or position relationship shown in the drawings, which is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operate in a specific orientation. Therefore, the terms describing the position 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.

[0050] Embodiment 1:

[0051] See also Figure 1The present invention provides a batching early warning and evaluation system for a rotary hearth furnace production process, comprising a database module, a DCS system module, a data processing module, an audio-visual early warning module, and a data evaluation module.

[0052] The database module contains three parts of data, one part is the test data, which is entered by the test personnel; one part is the production data, which is entered by the production personnel; and one part is the vehicle weighing data, which is entered by the weighbridge room personnel. The test data entry time should be one day earlier than the production data entry time. The test data includes the name of each raw material ash, the batch number of each raw material ash, the carbon / zinc content test value corresponding to each raw material ash, the iron-zinc oxide content, the moisture content of the digestion material, and the carbon content of the digestion material. The carbon / zinc content and the iron-zinc oxide content are detected using domestic general detection methods and detection instruments; the digestion moisture value is obtained by the drying detection method, and the calculation method is: the weight weighed before sampling - the weight weighed after drying. The production data includes the name of each raw material ash, the ash bin number, the batch number of each raw material ash, and the bin weight increase; the bin weight increase calculation method is: bin weight value after ash delivery - bin weight value before ash delivery. The vehicle weighing data includes the name of each raw material ash, the batch number of each raw material ash, the weight of the vehicle for the first weighing, the weight of the vehicle for the second weighing, and the weight of the raw material; the weight of the raw material = the weight of the vehicle for the first weighing - the weight of the vehicle for the second weighing. The name of each raw material ash and the batch number of each raw material ash in the test data should match the name of each raw material ash and the batch number of each raw material ash in the production data and the vehicle weighing data. The database data is connected to the data processing module.

[0053] The DCS system module contains some program setting values, including theoretical carbon and zinc content, total material unloading, and theoretical material use time. The theoretical carbon content is determined by the iron-zinc oxide content, which is calculated based on the complete reaction between carbon and the iron-zinc oxide content in the mixture. It can also be set according to actual needs, with a setting range of 8%-15%. The zinc content is set at 0%-5%. The total unloading amount is set according to the actual production situation, with a setting range of 0t-50t. The theoretical use time of each batch of materials is the added value of the warehouse weight / unloading flow value. The DCS system module is connected to the data evaluation module.

[0054] The data processing module includes a batching calculation table and an automatic running program. The batching calculation table includes the water content of the digestion material, the carbon content of the digestion material, the zinc content of the digestion material, the proportion of the digestion material, the name of the raw material, the proportion of the raw material, the carbon content of the raw material, the zinc content of the raw material, and the total amount of material. The water content of the digestion material, the carbon content of the digestion material, the zinc content of the raw material, the carbon content of the raw material, the zinc content of the raw material, and the water content of the digestion material in the batching table are from the database. The proportion of each material in the batching table is automatically generated by big data calculation to generate a set of optimal proportions. The calculation formula is as follows:

[0055] (digestion material a proportion * (100-digestion material water content) / 100 * digestion material carbon content + raw material 1 carbon content + raw material 2 proportion * raw material 2 carbon content + ... + raw material n proportion * raw material n carbon content) / 100 = carbon content after mixing

[0056] The sum of the proportion of digestion material added + the proportion of raw materials 1 to n added is 100%;

[0057] The total amount of material set by the program = the amount of digestion material + the amount of raw material 1 + ... the amount of raw material n

[0058] The calculation method of zinc content is the same as that of carbon content;

[0059] The carbon content after mixing must be within the upper and lower limits of the theoretical set value.

[0060] The proportion of each material in the ingredient table can be adjusted manually, and manual and automatic modules are set in the ingredient calculation table; click the manual module to manually adjust the proportion, and click automatic to automatically allocate the frequency of the on-site discharge machine through the PLC program according to the proportion in the ingredient calculation table. After filling in, click Run.

[0061] Part of the data in the data processing module comes from the database, and part comes from the material discharge value read by the flow sensor of each silo.

[0062] Different batches of raw material ash of different types are stored in raw material bins with different numbers. The raw material ash is continuously consumed during production, and the relevant raw material carbon / zinc content test values ​​are automatically associated during the process.

[0063] The usage time data of each batch of materials in the data processing module comes partly from the database and partly from the material unloading data of each silo associated with the PLC program. The calculation formula is as follows:

[0064] Material usage time = warehouse weight increase / hour unloading. When the warehouse weight increase is distorted, the raw material weight value is automatically matched.

[0065] The formula for calculating raw material weight data is as follows:

[0066] Raw material weight = vehicle's first weighing data - vehicle's second weighing data; at this time, material usage time = raw material weight / hourly material discharge amount.

[0067] The data processing module is connected to the data evaluation module to evaluate the current raw material usage time and carbon / zinc value. The evaluation method is as follows:

[0068] Raw material usage time assessment: the usage time t is obtained from the warehouse weight increase value / hourly material discharge amount, and the feeding time t1 is introduced from the PLC program, and the usage time t2 is obtained from t-t1. When t2=t, it means that the current batch of materials has been used up; set the alarm value a based on the usage (for example, if a warning is required 5 minutes in advance of the theoretical usage time, set a=5) and trigger the warning when t2=ta (the time unit is minutes); the start time of t1 is determined to be the time when the weighing scale under the silo has data recorded after the feeding starts; when the warehouse weight increase value is distorted, it matches the raw material weight value, and whether the warehouse weight increase value data is distorted or not is determined by the raw material weight value. If the error of the two data exceeds 1%, it is data distortion; associate the theoretical material usage time and its deviation value in the DCS system module. When the material usage time is outside the warning value range, the system operates normally; anyway, the warning module is triggered.

[0069] Carbon / zinc content evaluation: The actual carbon / zinc content of the mixture is obtained through the calculation formula of carbon / zinc content in the data processing module; the upper and lower limits of carbon / zinc content warning are set by the program in the associated DCS system module. The upper and lower limits set by the program are set by actual production, generally not exceeding 1% of the program setting value; when the carbon / zinc content is within the upper and lower limits of the warning, the system operates normally; otherwise, the warning module is triggered.

[0070] The data evaluation module is connected to the sound and light warning module, which is responsible for providing the output of the warning signal, including the sound module and the light display module. The sound module provides an alarm sound, and the sound type and volume can be selected in the background program settings; further, the light display module is displayed on the DCS computer screen, and the corresponding raw material bin is marked with different colors, and different colors represent different meanings. For the carbon / zinc value, it is expressed as follows: the green series represents that the carbon amount currently meets the production requirements; the orange series represents that the carbon amount needs to be changed within the specified time; the red series represents that the carbon amount no longer meets the requirements and has not been changed in time. For the raw material usage time, it is expressed as follows: the green series represents that the material usage time remains outside the warning value; the orange series represents that the material usage time is within the alarm value; the red series represents that the usage time has exceeded the material usage time.

[0071] When the sound and light warning is triggered, the alarm device automatically starts, and the batching calculation table automatically pops up on the computer screen. The data in the batching calculation table is automatically calculated by the program according to the above calculation formula. The on-site workers can confirm it. If confirmed, the system will run according to the new batching ratio; if changes are required, just manually change the data in the batching calculation table and click Confirm.

[0072] Embodiment 2:

[0073] This embodiment provides a method for using a batching early warning evaluation system in a rotary hearth furnace production process:

[0074] First, the raw materials that need to enter the rotary hearth furnace for production are sampled and tested. The inspection and testing personnel detect the carbon / zinc content and iron-zinc oxide content of each raw material and enter them into the background storage database, and simultaneously enter the corresponding batch number and raw material name; the production personnel digest the raw materials that need to be digested, and the digested materials are sampled and sent to the laboratory for testing. The inspection and testing personnel enter the carbon content, zinc content, and water content of the digested materials into the background storage database, and simultaneously enter the corresponding batch number and raw material name; the weighbridge room personnel enter the vehicle weighing data into the background storage database, and simultaneously enter the corresponding batch number and raw material name; the production personnel enter the warehouse number and warehouse weight added value into the background storage database and simultaneously enter the corresponding batch number, warehouse number and raw material name. The input data should match correctly, completely and timely.

[0075] The personnel in the central control room set the standard value and upper and lower limits of carbon / zinc content, theoretical material usage time and alarm value in the DCS system module.

[0076] After production starts, the data processing module extracts the required data from the database for calculation according to the formulas and rules set by the program.

[0077] The data evaluation module compares the carbon / zinc blending values ​​and raw material usage time values ​​calculated by the data processing module with the upper and lower limit values ​​set in the DCS system module in real time.

[0078] When the comparison result does not meet the requirements, the sound and light warning module automatically starts the alarm, and the batching calculation table pops up in the computer program at the same time. The batching calculation table automatically generates the best batching ratio, and the central control room staff clicks on the automatic operation to achieve the smooth operation of the production of carbon / zinc batching.

[0079] Finally, it should be noted that the above embodiments are only used to illustrate the technical solution of the present invention rather than to limit it. 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 solution of the present invention can be modified or replaced by equivalents without departing from the purpose and scope of the technical solution, which should be included in the scope of the claims of the present invention.

Claims

1. A batching early warning and evaluation system used in the production process of a rotary hearth furnace, characterized in that: Including database module, DCS system module, data processing module, sound and light warning module, data evaluation module; The database module stores raw ash detection data, raw ash production data and vehicle weighing data; The DCS system module is used to set and store the standard value and upper and lower alarm limits of carbon content, the standard value and upper and lower alarm limits of zinc content, the theoretical use time of materials and their alarm values; The data processing module is used to read the data from the database module and the flow sensors of each silo, and calculate the carbon or zinc amount after mixing, the total material discharge amount, the material use time and the raw material weight through the configurable material calculation table; The data evaluation module is used to evaluate the current raw material usage time and carbon content or zinc content; The sound and light warning module receives the warning command from the data evaluation module and outputs a warning signal through the sound module and the light display module.

2. The batching early warning and evaluation system used in the rotary hearth furnace production process according to claim 1 is characterized in that: The raw material ash test data includes the name of each raw material ash, the batch number of each raw material ash, the carbon content test value, zinc content test value, iron-zinc oxide content test value, digestion material moisture test value and digestion material carbon content test value corresponding to each raw material ash; The carbon content detection value, zinc content detection value, and iron-zinc oxide content detection value are detected using a general detection method and a detection instrument; the digestion moisture value is obtained by a drying detection method, and the calculation method is: the weight of the sample before sampling minus the weight of the sample after drying; The raw material ash production data includes the name of each raw material ash, the batch number of each raw material ash, the ash bin number, and the bin weight increase value; the bin weight increase value is calculated as follows: bin weight value after ash delivery minus bin weight value before ash delivery; The vehicle weighing data includes the name of each raw material ash, the batch number of each raw material ash, the vehicle weight for the first weighing, the vehicle weight for the second weighing, and the raw material weight; raw material weight = vehicle weight for the first weighing - vehicle weight for the second weighing.

3. The batching early warning and evaluation system used in the rotary hearth furnace production process according to claim 1 is characterized in that: The standard value of carbon content is determined by the iron-zinc oxide content, which is calculated according to the complete reaction between carbon and the iron-zinc oxide content in the mixture, or is taken within the range of 8%-15% as needed; the standard value of zinc content is taken within the range of 0%-5% as needed; the total amount of material discharged is set according to the actual production situation, and the setting range is 0t-50t; the theoretical use time of each batch of materials is the increased value of the warehouse weight or the discharge flow value.

4. The batching early warning and evaluation system used in the rotary hearth furnace production process according to claim 1 is characterized in that: The data processing module reads the water content of the digestion material, the carbon content of the digestion material, the zinc content of the digestion material, the carbon content of the raw material, the zinc content of the raw material and the moisture value of the digestion material, and performs the following calculations: Carbon content after mixing = (digestion material proportion * (100-digestion material water content) ÷ 100 * digestion material carbon content + raw material 1 carbon content + raw material 2 proportion * raw material 2 carbon content + ... + raw material n proportion * raw material n carbon content) ÷ 100 Amount of zinc added after mixing = (digestion material addition ratio * (100-digestion material water content) ÷ 100 * digestion material zinc content + raw material 1 zinc content + raw material 2 addition ratio * raw material 2 zinc content + ... + raw material n addition ratio * raw material n zinc content) ÷ 100 The sum of the proportion of digestion material added and the proportion of raw materials 1 to n added is 100%; Calculate the total feeding amount = digestion material feeding amount + raw material 1 feeding amount + ... raw material n feeding amount; Calculate the material usage time = warehouse weight increase / hourly material discharge amount; Calculate the raw material weight = vehicle's first weighing data - vehicle's second weighing data; at this time, the material usage time = raw material weight ÷ hourly unloading amount.

5. The batching early warning and evaluation system used in the rotary hearth furnace production process according to claim 1 is characterized in that: The data processing module is also used to calculate the total iron index, sodium oxide index and potassium oxide index, and the formula is as follows: Total iron index = (digestion material proportion * (100-digestion material water content) ÷ 100 * digestion material iron content + raw material 1 iron content + raw material 2 proportion * raw material 2 iron content + ... + raw material n proportion * raw material n iron content) ÷ 100 Sodium oxide index = (digestion material proportion * (100-digestion material water content) ÷ 100 * digestion material sodium oxide content + raw material 1 sodium oxide content + raw material 2 proportion * raw material 2 sodium oxide content + ... + raw material n proportion * raw material n sodium oxide content) ÷ 100 Potassium oxide index = (digestion material dosage ratio * (100-digestion material water content) ÷ 100 * potassium oxide content in digestion material + potassium oxide content in raw material 1 + raw material 2 dosage ratio * potassium oxide content in raw material 2 + … + raw material n dosage ratio * potassium oxide content in raw material n) ÷ 100.

6. The batching early warning and evaluation system used in the rotary hearth furnace production process according to claim 1 is characterized in that: The evaluation steps of the data evaluation module are as follows: (1) Raw material usage time assessment: Calculate the usage time t = warehouse weight increase / hourly material discharge amount; Get the feeding time t1; Calculate the usage time t2 = t-t1; When t2=t, it means that the current batch of materials has been used up; Set the alarm value a, and trigger the sound and light warning module when t2=ta; The start time of t1 refers to the time when the weighing scale below the silo records data after the feeding starts; Compare the material usage time calculated by the data processing module with the material theoretical usage time and its alarm value set in the DCS system module. If it does not exceed the alarm value, the system operates normally. Otherwise, the sound and light warning module is triggered. (2) Carbon content assessment and zinc content assessment: The carbon content and zinc content after mixing calculated by the data processing module are compared with the carbon content standard value and alarm upper and lower limits, zinc content standard value and alarm upper and lower limits set in the DCS system module. If they are within the alarm upper and lower limits, the system operates normally. Otherwise, the sound and light warning module is triggered.

7. The batching early warning and evaluation system used in the rotary hearth furnace production process according to claim 1 is characterized in that: The data evaluation module is also used to evaluate the optimal index of the mixture. The conditions for the optimal index include: first, ensuring that the carbon content is within the set threshold range; then making the zinc content and total iron content as high as possible, and the sodium oxide and potassium oxide indexes as low as possible. Based on the conditions, the ratio of each raw material ash is adjusted to obtain a mixture with the optimal index.

8. The batching early warning and evaluation system used in the rotary hearth furnace production process according to claim 1 is characterized in that: The optical display module is displayed on the display screen of the DCS system module, using different colors for early warning, as follows: Regarding the carbon and zinc content: green means that the carbon and zinc content currently meet the production requirements; orange means that the carbon and zinc content need to be changed within the specified time; red means that the carbon and zinc content no longer meet the requirements and have not been changed in time; Regarding the raw material usage time: green means that the material usage time remains outside the warning value; Orange means that the material usage time is within the alarm value; red means that the usage time has exceeded the material usage time.

9. The batching early warning and evaluation system used in the rotary hearth furnace production process according to claim 1 is characterized in that: When the sound and light warning module is triggered, the DCS system module will pop up the ingredient calculation table to determine whether the ingredient ratio needs to be modified.

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