Material balance method for the whole process of cement production based on linear programming

Abstract

The present invention discloses a material balance method for the entire cement production process based on linear programming, which relates to the field of industrial production management and comprises the following steps: S1, designing a calculation formula for material flow through the actual production process, and utilizing a belt scale and bucket current to achieve real-time acquisition, conversion, statistics and calculation of the production "product" and "raw material" data; S2, acquiring inventory data in real time through a material level meter and a radar imaging device; S3, utilizing a material balance system to automatically calculate and integrate all production data, profit and loss data, and set restriction rules of the previous day at zero o'clock every day. The algorithm of the present invention can instantly respond to changes in material flow during the production process and ensure the timeliness of material balance. Through precise calculation and adjustment, the algorithm can effectively reduce material waste and improve material utilization efficiency. The algorithm reduces the need for manual intervention, reduces the risk of human error, and improves the level of automation of management.

Description

Technical Field

[0001] The present invention relates to the field of industrial production management, and in particular to a material balance method for the entire cement production process based on linear programming. Background Art

[0002] Traditional factory material management methods usually rely on manual inventory and manual calculation of differences with book records to obtain profit and loss data. Daily production and consumption data must be manually compiled, and production and consumption data are all dynamically measured data, which is less reliable than static measurement.

[0003] Manual adjustments to production data for material balance are influenced by subjective thinking and management ideas across multiple factories. The adjustment process is cumbersome, inefficient, and the results are not ideal. Management of daily production costs is affected by the effectiveness of manual material balance. This method suffers from slow response speed, low accuracy, and limited adjustment ideas, resulting in very cumbersome adjustments and poor results. Moreover, as the factory's most critical production data, it has a strong correlation with other information systems. As a result, tasks requiring the use of production data for analysis must wait until manual material balance adjustments are completed. This significantly reduces the company's management efficiency and the timeliness of production information. Therefore, a new method is needed that can achieve accurate material balance, respond quickly, and automatically adjust production consumption. Summary of the Invention

[0004] The purpose of the present invention is to solve the problems in the prior art and to propose a material balance method for the entire cement production process based on linear programming.

[0005] The material balance method for the entire cement production process based on linear programming includes the following steps:

[0006] S1. Design a material flow calculation formula based on the actual production process, and use belt scales and bucket elevators to obtain, convert, count, and calculate the production "product" and "raw material" data in real time;

[0007] S2. Obtain inventory data in real time through material level meters and radar imaging equipment;

[0008] S3. Use the material balance system to automatically calculate and integrate all production data, profit and loss data, and set restriction rules of the previous day at midnight every day;

[0009] S4. Start the linear programming algorithm, first create variables, then determine the constraints and objective function, then use the linear programming solver to obtain preliminary results, and finally adjust the output of the cement multi-production line based on the output results;

[0010] S5. Process the algorithm calculation results and store the data after sorting.

[0011] In the above-mentioned material balance method for the entire cement production process based on linear programming, in step S4, the algorithm input data includes two key-value pairs: "product" and "raw material". "Product" contains all products involved in the entire process, including 325 cement, 425 low-alkali cement, 425 cement, 525 cement, raw material, clinker, limestone and melon seed slices. Each product contains "value", "profit and loss", "upper limit" and "lower limit", where "value" represents the actual production volume V yesterday. i "Profit and loss" means the profit and loss P calculated yesterday i , "upper limit" represents the upper limit of the yield of the product U i , which is the machine operating hours multiplied by the maximum production capacity of the machine per unit time. The "lower limit" represents the minimum daily output of the product, L i ;

[0012] "Raw Materials" contains all the raw materials involved in the entire process, including clinker, dihydrate gypsum, desulfurized gypsum, phosphogypsum, coal gangue, melon seed slices, fly ash, raw meal, iron raw materials, sandstone, slag powder, and limestone. Each raw material contains "Value", "Profit and Loss", "Upper Limit" and "Lower Limit", where "Value" represents the actual consumption V yesterday. i "Profit and loss" means the profit and loss P calculated yesterday i "Upper limit" means the upper limit of consumption of the raw material U i , which is the machine operating hours multiplied by the maximum machine input per unit time. In the cement raw materials, the "upper limit" is replaced by "limit", which includes the upper and lower limits of the proportion of each raw material in the production of each cement, that is, UL i and LL i .

[0013] In the above-mentioned material balance method for the entire cement production process based on linear programming, in step S4, the variable C is set i Indicates the expected consumption of various raw materials after algorithm adjustment, set the variable O i represents the expected production volume of the product after the algorithm is adjusted. The constraints in the algorithm are as follows:

[0014] a. Discuss the residual profit and loss PP of each product and raw material separately i and the absolute value of residual profit and loss absPP i :PP i Equal to the corresponding C i or O i With V i The difference plus the actual surplus P i For items that are both produced and consumed, the difference between production and consumption needs to be added to P i, as shown in formula (1):

[0015]

[0016] Where i represents the raw material or product, and the constraint formula (2) is added to constrain the PP i The absolute value of , to facilitate the calculation of the objective function:

[0017] absPP i ≥±PP i (2);

[0018] b. Add restriction constraints to the pre-taken output of cement, clinker and raw meal, as shown in formula (3):

[0019] (1-lmt i )*V i ≤O i ≤(1+lmt i )*V i (3);

[0020] where lmt i The expected adjustment of item i accounts for the actual production volume V i The percentage value of

[0021] c. Add raw material production constraints: limestone consumption must be greater than or equal to 70% of its production, as shown in formula (4):

[0022] C 石灰石 ≥O 石灰石 ×0.7 (4);

[0023] The production of raw materials is equal to the sum of the consumption of all raw materials, as shown in formula (5):

[0024] O 生料 ==C 粉煤灰 +C 铁质原料 +C 砂页岩 +C 内倒粉末 +C 石灰石 (5);

[0025] d. Add clinker production constraints: clinker production multiplied by 1.63 is the raw material consumption, as shown in formula (6):

[0026] C 生料 = = 1.63 × O 熟料 (6);

[0027] e. Add cement production constraints: In 425 and 425 low-alkali cement, the total consumption of clinker and gypsum is greater than or equal to 0.8, as shown in formula (7):

[0028]

[0029] Where k represents 425 cement or 425 low alkali cement;

[0030] In 525 cement, the ratio of expected consumption of desulfurized gypsum to dihydrate gypsum is the same as the ratio of actual consumption, as shown in formula (8):

[0031]

[0032] The total production of each cement on the two production lines is equal to the sum of its raw material consumption. In addition, when the "upper limit" of a certain cement production line is 0, it means that the production line does not produce this cement, as shown in formula (9);

[0033]

[0034] Where a and b represent two cement production lines, and t represents the type of cement;

[0035] According to the UL in the input data i and LL i , and limit the proportion of each cement and raw material separately, as shown in formula (10):

[0036]

[0037] In the above-mentioned material balance method for the entire cement production process based on linear programming, in step S4, the weights of various items in the objective function are as follows:

[0038] Let W 水泥 is the weight of all cements, as shown in formula (11):

[0039]

[0040] W 熟料 is the weight of clinker, as shown in formula (12);

[0041]

[0042] W 开采 is the weight of raw materials such as melon seed slices and limestone mined from the mountain, as shown in formula (13);

[0043]

[0044] In the above-mentioned material balance method for the entire cement production process based on linear programming, in step S4, the objective function in the algorithm is as follows:

[0045] Multiply the absolute value of the remaining profit and loss of all items by their own weight, as shown in formula (14):

[0046] target=W 水泥 ×(absPP 325水泥 +absPP 425低碱水泥 +absPP 425水泥 +absPP 525水泥 )+W 熟料 ×absPP 熟料 +absPP 生料 +absPP 粉煤灰 +absPP 粉末 +absPP 煤矸石 +absPP 磷石膏 +absPP 二水石膏 +absPP 脱硫石膏 +absPP 铁质原料 +absPP 砂页岩 +absPP 内倒粉末 +W 开采 ×(absPP 瓜子片 +absPP 石灰石 ) (14).

[0047] In the above-mentioned material balance method for the entire cement production process based on linear programming, in step S4, the steps for adjusting the expected cement output in the output result are as follows:

[0048] a. Process all cements in a loop. If the upper limits of both production lines for a particular cement are not 0, proceed to the following steps. Otherwise, do not adjust the cement and determine whether the next cement needs adjustment.

[0049] b. Determine the production line a with the largest lower limit and the production line b with the smallest upper limit among the two production lines;

[0050] c. Calculate the difference between the expected production volume and the actual production volume for each production line, i.e., the adjustment volume for that production line. Calculate the arithmetic median Mid based on the adjustment volumes of all production lines.

[0051] d. If the actual production volume minus the lower limit of production line a is less than or equal to Mid, and the upper limit of production line b minus the actual production volume is greater than or equal to Mid, then the expected production volume of the two cement production lines is modified to the actual production volume plus Mid.

[0052] In the above-mentioned linear programming-based material balance method for the entire cement production process, in step S3, the calculated and integrated data are generated into a JSON data body.

[0053] Compared with the existing technology, the advantages of the present invention are:

[0054] 1. The algorithm of the present invention can respond immediately to changes in material flow during the production process, ensuring the timeliness of material balance. Through precise calculation and adjustment, the algorithm can effectively reduce material waste and improve material utilization efficiency.

[0055] 2. The algorithm of the present invention reduces the need for manual intervention, reduces the risk of human error, and improves the level of automation in management. The algorithm focuses on optimizing the use of materials to ensure that costs are minimized while meeting production needs. BRIEF DESCRIPTION OF THE DRAWINGS

[0056] Figure 1 Schematic diagram of the algorithm flow in the present invention.

[0057] Figure 2 This is a graph showing the calculation results of material production data in the present invention.

[0058] Figure 3 This is a mind map calculation process diagram for the 425 cement output value in the present invention. DETAILED DESCRIPTION

[0059] In order to make the technical means, creative features, objectives and effects achieved by the present invention easier to understand, the present invention is further described below in conjunction with specific implementation methods.

[0060] Reference Figure 1 As shown in FIG, the material balance method for the entire cement production process based on linear programming includes the following steps:

[0061] S1. Design a material flow calculation formula based on the actual production process, and use belt scales and bucket elevators to obtain, convert, count, and calculate the production "product" and "raw material" data in real time;

[0062] S2. Obtain inventory data in real time through material level meters and radar imaging equipment;

[0063] S3. Use the material balance system to automatically calculate and integrate all production data, profit and loss data, and set restriction rules of the previous day at midnight every day;

[0064] S4. Start the linear programming algorithm, first create variables, then determine the constraints and objective function, then use the linear programming solver to obtain preliminary results, and finally adjust the output of the cement multi-production line based on the output results;

[0065] S5. Process the algorithm calculation results and store the data after sorting.

[0066] In step S4, the algorithm input data includes two key-value pairs: "product" and "raw material". "Product" contains all products involved in the entire process, including 325 cement, 425 low-alkali cement, 425 cement, 525 cement, raw materials, clinker, limestone and melon seeds. Each product contains "value", "profit and loss", "upper limit" and "lower limit", where "value" represents the actual production volume V yesterday. i "Profit and loss" means the profit and loss P calculated yesterday i , "upper limit" represents the upper limit of the yield of the product U i , which is the machine operating hours multiplied by the maximum production capacity of the machine per unit time. The "lower limit" represents the minimum daily output of the product, L i ,Since there are two production lines for cement production, its "value", "upper limit" and "lower limit" are all in array form, representing the actual production volume and production limit of each production line respectively;

[0067] "Raw Materials" contains all the raw materials involved in the entire process, including clinker, dihydrate gypsum, desulfurized gypsum, phosphogypsum, coal gangue, melon seed slices, fly ash, raw meal, fly ash, iron raw materials, sandstone, slag powder, and limestone. There are two types of fly ash: fly ash in cement production and fly ash in raw meal production. Each raw material contains "Value", "Profit and Loss", "Upper Limit" and "Lower Limit", where "Value" represents the actual consumption V yesterday. i "Profit and loss" means the profit and loss P calculated yesterday i "Upper limit" means the upper limit of consumption of the raw material U i , which is the machine operating hours multiplied by the maximum machine input per unit time. In the cement raw materials, the "upper limit" is replaced by "limit", which includes the upper and lower limits of the proportion of each raw material in the production of each cement, that is, UL i and LL i Since the proportion of each raw material in different cements is different, a set of arrays is used to represent the "limits" of each type of cement.

[0068] According to the above-mentioned material balance method of the whole process of cement production based on linear programming, it is determined that the problem is a minimum problem. In step S4, the variable C is set to i Indicates the expected consumption of various raw materials after algorithm adjustment, set the variable O i represents the expected production volume of the product after the algorithm is adjusted. The constraints in the algorithm are as follows:

[0069] a. Discuss the residual profit and loss PP of each product and raw material separately i and the absolute value of residual profit and loss absPP i :PP i Equal to the corresponding C i or O i With V iThe difference plus the actual surplus P i For items that are both produced and consumed, the difference between production and consumption needs to be added to P i , as shown in formula (1):

[0070]

[0071] Where i represents the raw material or product, and the constraint formula (2) is added to constrain the PP i The absolute value of , to facilitate the calculation of the objective function:

[0072] absPP i ≥±PP i (2);

[0073] b. Add restriction constraints to the pre-taken output of cement, clinker and raw meal, as shown in formula (3):

[0074] (1-lmt i )*V i ≤O i ≤(1+lmt i )*V i (3);

[0075] where lmt i The expected adjustment of item i accounts for the actual production volume V i The percentage value of

[0076] c. Add raw material production constraints: limestone consumption must be greater than or equal to 70% of its production, as shown in formula (4):

[0077] C 石灰石 ≥O 石灰石 ×0.7 (4);

[0078] The production of raw materials is equal to the sum of the consumption of all raw materials, as shown in formula (5):

[0079] O 生料 ==C 粉煤灰 +C 铁质原料 +C 砂页岩 +C 内倒粉末 +C 石灰石 (5);

[0080] d. Add clinker production constraints: clinker production multiplied by 1.63 is the raw material consumption, as shown in formula (6):

[0081] C 生料 = = 1.63 × O 熟料 (6);

[0082] e. Add cement production constraints: In 425 and 425 low-alkali cement, the total consumption of clinker and gypsum is greater than or equal to 0.8, as shown in formula (7):

[0083]

[0084] Where k represents 425 cement or 425 low alkali cement;

[0085] In 525 cement, the ratio of expected consumption of desulfurized gypsum to dihydrate gypsum is the same as the ratio of actual consumption, as shown in formula (8):

[0086]

[0087] The total production of each cement on the two production lines is equal to the sum of its raw material consumption. In addition, when the "upper limit" of a certain cement production line is 0, it means that the production line does not produce this cement, as shown in formula (9);

[0088]

[0089] Where a and b represent two cement production lines, and t represents the type of cement;

[0090] According to the UL in the input data i and LL i , and limit the proportion of each cement and raw material separately, as shown in formula (10):

[0091]

[0092] In step S4, the weights of various items in the objective function are as follows:

[0093] Let W 水泥 is the weight of all cements, as shown in formula (11):

[0094]

[0095] W 熟料 is the weight of clinker, as shown in formula (12);

[0096]

[0097] W 开采 is the weight of raw materials such as melon seed slices and limestone mined from the mountain, as shown in formula (13);

[0098]

[0099] In step S4, the objective function in the algorithm is as follows:

[0100] Multiply the absolute value of the remaining profit and loss of all items by their own weight, as shown in formula (14):

[0101] target=W 水泥 ×(absPP 325水泥 +absPP 425低碱水泥 +absPP 425水泥 +absPP 525水泥 )+W 熟料 ×absPP 熟料 +absPP 生料 +absPP 粉煤灰 +absPP 粉末 +absPP 煤矸石 +absPP 磷石膏 +absPP 二水石膏 +absPP 脱硫石膏 +absPP 铁质原料 +absPP 砂页岩 +absPP 内倒粉末 +W 开采 ×(absPP 瓜子片 +absPP 石灰石 ) (14).

[0102] In step S4, the steps for adjusting the expected cement output in the output result are as follows:

[0103] a. Process all cements in a loop. If the upper limits of both production lines for a particular cement are not 0, proceed to the following steps. Otherwise, do not adjust the cement and determine whether the next cement needs adjustment.

[0104] b. Determine the production line a with the largest lower limit and the production line b with the smallest upper limit among the two production lines;

[0105] c. Calculate the difference between the expected production volume and the actual production volume for each production line, i.e., the adjustment volume for that production line. Calculate the arithmetic median Mid based on the adjustment volumes of all production lines.

[0106] d. If the actual production volume minus the lower limit of production line a is less than or equal to Mid, and the upper limit of production line b minus the actual production volume is greater than or equal to Mid, then the expected production volume of the two cement production lines is modified to the actual production volume plus Mid.

[0107] In step S3, the calculated and integrated data is generated into a JSON data body, and the data is passed to the algorithm for processing in a RESTful manner.

[0108] Example

[0109] The factory produces 325 cement, 425 low-alkali cement, 425 cement and 525 cement, including two independent cement production lines. Cement is produced from clinker, fly ash, melon seed slices, powder, coal gangue and gypsum. The main difference between the above four types of cement is the proportion of each raw material and the type of gypsum. Among them, 325 cement is phosphogypsum, 425 low-alkali cement and 425 cement are desulfurized gypsum, and 525 cement is desulfurized gypsum and dihydrate gypsum. In addition, there is only one production line for both clinker and raw material, and the raw material of clinker is only raw material. The raw materials for raw materials include fly ash, iron raw materials, sandstone, internal pouring powder and limestone. Due to the deviation of weight measurement in the actual production process, there will be a difference between the raw materials and products on the books and the actual consumption / production volume, that is, the profit and loss. In order to alleviate this problem, we need to make the profit and loss of all items as close to 0 as possible. In addition, since various types of cement are used for sale, the priority of making the profit and loss close to 0 is the highest. Clinker may be used for sale, so it has the second priority. Limestone and melon seed slices can be collected from the mountain, so they have the lowest priority.

[0110] The original production data for November 28, 2023, combined with the upper limit of each process's production time, is integrated into the following Json content and sent to the algorithm. The data content and corresponding interpretation are as follows:

[0111]

[0112]

[0113]

[0114]

[0115] After the algorithm is calculated, the Json content and corresponding interpretation are as follows:

[0116]

[0117]

[0118] The material balance system obtains the calculation results, stores them in categories, and sorts them out. Figure 2 The results shown are that the factory's actual daily report uses the values ​​in the (adjusted) column to report production and consumption. In cement production, slag powder is added based on the original data. This material is the same as raw fly ash and ultrafine powder. The consumption is calculated by the difference between the two 0-point material levels and the purchase amount. The slag powder is compensated based on the original consumption of the accumulated flow rate. It is only added to 325 and 425 grade cements. The mind map method is used to calculate the production value of 425 cement. Figure 3 As shown, the production / consumption values ​​of other materials are calculated using the mind map method.

[0119] In summary, the algorithm of the present invention can respond instantly to changes in material flow during the production process and ensure the timeliness of material balance. Through precise calculation and adjustment, the algorithm can effectively reduce material waste and improve material utilization efficiency, while meeting production needs and minimizing costs. When there are different types and quantities of cement and production lines, it is only necessary to add relevant functions to the algorithm's constraints and objective function.

[0120] It is understood from common technical knowledge that the present invention may be implemented by other embodiments that do not depart from its spirit or essential features. Therefore, the embodiments disclosed above are, in all respects, merely illustrative and not exclusive. All modifications within the scope of the present invention or equivalent to the scope of the present invention are intended to be encompassed by the present invention.

Claims

1. A material balance method for the entire cement production process based on linear programming, characterized by: The following steps are involved: S1. Design a material flow calculation formula based on the actual production process, and use belt scales and bucket elevator currents to achieve real-time acquisition, conversion, statistics, and calculation of production "product" and "raw material" data; S2. Obtain inventory data in real time through material level meters and radar imaging equipment; S3. Use the material balance system to automatically calculate and integrate all production data, profit and loss data, and set restriction rules of the previous day at midnight every day; S4. Start the linear programming algorithm, first create variables, then determine the constraints and objective function, then use the linear programming solver to obtain preliminary results, and finally adjust the output of the cement multi-production line based on the output results; S5. Process the algorithm calculation results and store the data after sorting; In step S4, the variable C is set i Indicates the expected consumption of various raw materials after algorithm adjustment, set the variable O i represents the expected production volume of the product after the algorithm is adjusted. The constraints in the algorithm are as follows: a. Discuss the residual profit and loss PP of each product and raw material separately i and the absolute value of residual profit and loss absPP i :PP i Equal to the corresponding C i or O i With V i The difference plus the actual surplus P i For items that are both produced and consumed, the difference between production and consumption needs to be added to P i , as shown in formula (1): Where i represents the raw material or product, and the constraint formula (2) is added to constrain the PP i The absolute value of , to facilitate the calculation of the objective function: absPP i ≥±PP i (2); b. Add restriction constraints to the pre-taken output of cement, clinker and raw meal, as shown in formula (3): (1-lmt i )*V i ≤O i ≤(1+lmt i )*V i (3); where lmt i The expected adjustment of item i accounts for the actual production volume V i The percentage value of c. Add raw material production constraints: limestone consumption must be greater than or equal to 70% of its production, as shown in formula (4): C 石灰石 ≥O 石灰石 ×0.7 (4); The production of raw materials is equal to the sum of the consumption of all raw materials, as shown in formula (5): O 生料 ==C 粉煤灰 +C 铁质原料 +C 砂页岩 +C 内倒粉末 +C 石灰石 (5); d. Add clinker production constraints: clinker production multiplied by 1.63 is the raw material consumption, as shown in formula (6): C 生料 ==1.63×O 熟料 (6); e. Add cement production constraints: In 425 and 425 low-alkali cement, the total consumption of clinker and gypsum is greater than or equal to 0.8, as shown in formula (7): Where k represents 425 cement or 425 low alkali cement; In step S4, the steps for adjusting the expected cement output in the output result are as follows: a. Process all cements in a loop. If the upper limits of both production lines for a particular cement are not 0, proceed to the following steps. Otherwise, do not adjust the cement and determine whether the next cement needs adjustment. b. Determine the production line a with the largest lower limit and the production line b with the smallest upper limit among the two production lines; c. Calculate the difference between the expected production volume and the actual production volume for each production line, i.e., the adjustment volume for that production line. Calculate the arithmetic median Mid based on the adjustment volumes of all production lines. d. If the actual production volume minus the lower limit of production line a is less than or equal to Mid, and the upper limit of production line b minus the actual production volume is greater than or equal to Mid, then the expected production volume of the two cement production lines is modified to the actual production volume plus Mid.

2. The material balance method for the entire cement production process based on linear programming according to claim 1, characterized in that: In step S4, the algorithm input data includes two key-value pairs: "product" and "raw material". "Product" contains all products involved in the entire process, including 325 cement, 425 low-alkali cement, 425 cement, 525 cement, raw material, clinker, limestone and melon seed slices. Each product contains "value", "profit and loss", "upper limit" and "lower limit", where "value" represents the actual production volume V yesterday. i , "Profit and loss" means the profit and loss P calculated yesterday i , "upper limit" represents the upper limit of the product yield U i , which is the machine operating hours multiplied by the maximum production capacity of the machine per unit time. The "lower limit" represents the minimum daily output of the product, L i ; "Raw Materials" includes all raw materials involved in the entire process, including clinker, dihydrate gypsum, desulfurized gypsum, phosphogypsum, coal gangue, melon seed slices, fly ash, raw meal, iron raw materials, sandstone, slag powder, and limestone. Each raw material includes "Value", "Profit and Loss", "Upper Limit" and "Lower Limit". "Value" represents the actual consumption V yesterday. i , "Profit and loss" means the profit and loss P calculated yesterday i , "upper limit" indicates the upper limit of consumption of the raw material U i , which is the machine operating hours multiplied by the maximum machine input per unit time. In the cement raw materials, the "upper limit" is replaced by "limit", which includes the upper and lower limits of the proportion of each raw material in the production of each cement, that is, UL i and LL i .

3. The material balance method for the entire cement production process based on linear programming according to claim 2, characterized in that: The constraints in the algorithm also include: In 525 cement, the ratio of expected consumption of desulfurized gypsum to dihydrate gypsum is the same as the ratio of actual consumption, as shown in formula (8): The total production of each cement on the two production lines is equal to the sum of its raw material consumption. In addition, when the "upper limit" of a production line of a certain cement is 0, it means that the production line does not produce this cement, as shown in formula (9); Where a and b represent two cement production lines, and t represents the type of cement; According to the UL in the input data i and LL i , and limit the proportion of each cement and raw material separately, as shown in formula (10):

4. The material balance method for the entire cement production process based on linear programming according to claim 3 is characterized in that: In step S4, the weights of various items in the objective function are as follows: Let W 水泥 is the weight of all cements, as shown in formula (11): W 熟料 is the weight of clinker, as shown in formula (12); W 开采 is the weight of raw materials such as melon seed slices and limestone mined from the mountain, as shown in formula (13); 5. The material balance method for the entire cement production process based on linear programming according to claim 4 is characterized in that: In step S4, the objective function in the algorithm is as follows: Multiply the absolute value of the remaining profit and loss of all items by their own weight, as shown in formula (14): target=W 水泥 ×(absPP 325水泥 +absPP 425低碱水泥 +absPP 425水泥 +absPP 525水泥 )+W 熟料 ×absPP 熟料 +absPP 生料 +absPP 粉煤灰 +absPP 粉末 +absPP 煤矸石 +absPP 磷石膏 +absPP 二水石膏 +absPP 脱硫石膏 +absPP 铁质原料 +absPP 砂页岩 +absPP 内倒粉末 +W 开采 ×(absPP 瓜子片 +absPP 石灰石 ) (14)。 6. The material balance method for the entire cement production process based on linear programming according to claim 1, characterized in that: In step S3, the calculated and integrated data is generated into a JSON data body.

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