Coal mill operation management system based on human-computer interaction

Abstract

The invention relates to the technical field of coal mill data processing, in particular to a coal mill operation management system based on man-machine interaction, which comprises a front detection module, an operation data acquisition module, an integrated data processing module and an action execution module. The method comprises the following steps: dividing historical operation data according to data combination to obtain a data set, determining unit cost under each associated influence parameter according to the associated influence parameters in the data set, obtaining an overall distribution curve according to the associated influence parameters and the unit operation cost, and determining the normal operation range of the overall distribution curve based on the normal operation range of the associated influence parameters. Standard operation parameters are determined in the overall distribution curve, real-time detection data are obtained, the detection data and the data combination are combined, execution parameters of the detection data are determined, and parameter adjustment is conducted on the coal mill according to the execution parameters, so that the coal mill can operate continuously and stably.

Description

Technical Field

[0001] The invention relates to the technical field of coal mill data processing, and in particular to a coal mill operation management system based on human-computer interaction. Background Art

[0002] A coal mill is a machine that breaks coal into pieces and grinds them into coal powder. It is an important auxiliary equipment for a pulverized coal furnace.

[0003] The prior art CN114849890A discloses a method for reducing the power consumption rate of a coal mill based on optimizing the startup of the coal mill plant, comprising the following steps: S1: calculating the target load of a single unit according to an equal incremental algorithm, and calculating the coal consumption requirement to achieve the target; S2: calculating the operating margin ratio of a single coal mill and arranging them; S3: superimposing the rated output of the coal mill, calculating the total rated output of the coal mill in operation, and distinguishing the total rated output of the coal mill in operation and the coal consumption requirement of the coal mill.

[0004] However, during the operation of the coal mill, the moisture content of the coal blocks may vary due to different batches of coal blocks placed or different placement environments. At the same time, due to the different humidity in the environment, when the coal mill is running, the different humidity in the gas will affect the coal mill, resulting in different quality of coal powder produced by the coal mill, thereby reducing the production efficiency of the coal mill. Summary of the invention

[0005] The purpose of the present invention is to solve the problems in the background technology and to propose a coal mill operation management system based on human-computer interaction.

[0006] In order to achieve the above object, the present invention adopts the following technical solutions:

[0007] A coal mill operation management system based on human-computer interaction, comprising:

[0008] The pre-detection module is used to detect the input material of the coal mill in real time to obtain detection data, wherein the input material includes the coal block to be processed and air, and the detection data includes the moisture value of the coal block to be processed and the air humidity;

[0009] An operation data collection module is used to collect the operation data of the coal mill, wherein the operation data includes equipment parameters, operation time and operation cost during operation;

[0010] An integrated data processing module is used to set the equipment simulation model, obtain historical operation data, set the main analysis parameters and associated influencing parameters in the historical operation data, set data combinations according to the specific data of the main analysis parameters, and divide the historical operation data based on the data combinations to obtain data sets;

[0011] Based on the associated influencing parameters in the data set, the unit cost under each associated influencing parameter is determined, and then the overall distribution curve is obtained according to the associated influencing parameters and the unit operating cost;

[0012] Based on the normal operating range of the associated influencing parameters, a standard operating parameter is determined in the overall distribution curve, wherein one data combination corresponds to one standard operating parameter;

[0013] Acquire real-time test data, combine the test data with the data combination, determine the standard operating parameters corresponding to the test data, and mark them as execution parameters;

[0014] The action execution module obtains execution parameters and adjusts the parameters of the coal mill according to the execution parameters.

[0015] As a further solution of the present invention, the pre-detection module includes a coal block detection unit and a humidity detection unit. The coal block detection unit is used to detect the moisture content of the coal blocks to be processed, and the humidity detection unit is used to detect the air humidity of the air around the equipment.

[0016] As a further solution of the present invention, the integrated data processing module includes a simulation operation unit, an inertial processing unit and a real-time processing unit;

[0017] The simulation operation unit builds a virtual operation scenario of the coal mill based on the processing scenario and marks it as an equipment simulation model. After that, the simulation operation unit and the inertial processing unit are connected in a two-way communication manner.

[0018] The inertial processing unit sets data combinations based on historical operation data, divides the historical operation data according to the data combinations, obtains a data set, and then determines the unit cost under each associated influence parameter based on the associated influence parameter in the data set, and then obtains the overall distribution curve based on the associated influence parameter and the unit operation cost, and determines the standard operation parameters in the overall distribution curve based on the normal operation range of the associated influence parameter. After that, the inertial processing unit and the real-time processing unit are connected in a one-way communication manner;

[0019] The real-time processing unit determines corresponding execution parameters based on real-time detection data and data combinations.

[0020] As a further solution of the present invention, a method for determining unit cost includes:

[0021] S1: Obtain the equipment simulation model of the coal mill, take the moisture value as the main analysis parameter, and set the associated influencing parameters according to the operation process of the equipment simulation model. The associated influencing parameters include hot air temperature, ventilation volume, and single coal feeding amount;

[0022] S2: Set a data combination for the moisture value, perform data retrieval on the data combination in the historical operation data, and divide the historical operation data according to the specific values ​​in the data combination to obtain several data sets, wherein one data combination corresponds to one data set, and the form of the data combination is (moisture value of coal block, air humidity);

[0023] S3: Select any data set, obtain the associated influencing parameters in this data set, and based on the specific values ​​of the associated influencing parameters, obtain the operating cost corresponding to each associated influencing parameter, and then divide the operating cost by the single coal feeding amount in the associated influencing parameter, and mark the result as unit cost, wherein the operating cost refers to the energy consumed when the coal mill runs once under the specific values ​​of the selected associated influencing parameters.

[0024] As a further solution of the present invention, the method for determining the overall distribution curve is:

[0025] The associated influence parameter is set as the independent variable parameter, the unit cost is set as the dependent variable parameter, and a data distribution curve is obtained by using a three-dimensional scatter plot, wherein in the three-dimensional scatter plot, the data in the associated influence parameter are respectively set as the three axes in the three-dimensional coordinate system, the size of the point is set as the value of the unit cost, and displayed in the three-dimensional coordinate system;

[0026] According to the data distribution curve, the data distribution curve is fitted to obtain the function expression FX of the data distribution curve, and then the function expression FX is used to obtain the complete curve of the data distribution curve and marked as the overall distribution curve.

[0027] As a further solution of the present invention, a method for determining standard operating parameters includes:

[0028] The normal operating range of each parameter in the associated influencing parameters is obtained respectively. Based on the normal operating range and the overall distribution curve, the corresponding curve segment within the normal operating range is selected, and the minimum value of the unit cost is identified in this curve segment. Then, the parameter value corresponding to the position of the minimum unit cost is identified, and the parameter value at this position is set as the standard operating parameter of this data combination.

[0029] As a further solution of the present invention, when the number of elements in the data set does not reach the minimum data amount required by the experiment, based on the equipment simulation operation model, the combined data corresponding to this data set is used as a fixed parameter, the associated influence parameter is used as a dependent variable data combination, and multiple groups of associated influence parameters are set. Then, the set multiple groups of associated influence parameters are used as input data, respectively, and input and run in the equipment simulation operation model to obtain the operating cost corresponding to each associated influence parameter, and then processed according to the method in step S3 to obtain the unit cost.

[0030] As a further solution of the present invention, the method for determining the execution parameters includes:

[0031] Acquire real-time detection data, search in the data combination according to the real-time detection data, obtain the corresponding standard operating parameters, and mark them as execution parameters.

[0032] Compared with the prior art, the advantages of the present invention are:

[0033] The present invention analyzes historical operating data, divides the historical operating data according to data combinations, obtains a data set, determines the unit cost under each associated influencing parameter according to the associated influencing parameters in the data set, and then obtains an overall distribution curve according to the associated influencing parameters and the unit operating cost. Based on the normal operating range of the associated influencing parameters, standard operating parameters are determined in the overall distribution curve to obtain real-time detection data, combine the detection data with the data combination, determine the execution parameters of the detection data, and adjust the parameters of the coal mill according to the execution parameters. On the one hand, the coal mill can be operated continuously and stably, reducing the downtime and maintenance time caused by faults or production quality problems, thereby improving the overall operating time and production efficiency. On the other hand, by analyzing the unit cost, the impact of high-cost factors can be reduced in a targeted manner, and refined cost management can be achieved to reduce the overall operating cost. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] Figure 1 It is a schematic diagram of the system structure of the present invention. DETAILED DESCRIPTION

[0035] The technical solutions in the embodiments of the present invention will be described clearly and completely below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, rather than all the embodiments.

[0036] Reference Figure 1 , a coal mill operation management system based on human-computer interaction, including a pre-detection module, an operation data acquisition module, an integrated data processing module and an action execution module;

[0037] Among them, the pre-detection module is used to perform real-time detection on the input material of the coal mill to obtain detection data. The input material includes the coal block to be processed and the air around the equipment. Further, the pre-detection module includes a coal block detection unit and a humidity detection unit. The coal block detection unit is used to detect the moisture content of the coal block to be processed, and the humidity detection unit is used to detect the air humidity of the air around the equipment. After that, the pre-detection module transmits the real-time detection data to the integrated data processing module;

[0038] The operation data acquisition module is used to collect the operation data of the coal mill, wherein the operation data includes the equipment parameters, operation time and operation cost during operation, and then the operation data acquisition module transmits the operation data to the integrated data processing module;

[0039] The integrated data processing module is used to analyze historical operation data and determine parameter optimization decisions. Furthermore, the integrated data processing module includes a simulation operation unit, an inertial processing unit, and a real-time processing unit;

[0040] The simulation operation unit is used to obtain the processing scenario of the coal mill. Based on the processing scenario, a virtual operation scenario of the coal mill is constructed in the system and marked as an equipment simulation model. After that, a two-way communication connection is established between the simulation operation unit and the inertial processing unit.

[0041] The inertial processing unit is used to obtain the historical operation data of the coal mill, perform inertial analysis on the historical operation data, and transmit the results of the inertial analysis to the real-time processing unit. The specific inertial analysis methods include:

[0042] S1: obtaining a coal mill equipment simulation model, taking the moisture value as the main analysis parameter, and setting associated influencing parameters according to the operation process of the equipment simulation model. In this embodiment, the associated influencing parameters include hot air temperature, ventilation volume, and single coal feeding amount;

[0043] Among them, the hot air temperature refers to the hot air temperature at the inlet of the coal mill, and the higher the temperature, the more water evaporates, which further ensures the drying effect of the coal powder. The ventilation volume is used to take away the evaporated water in the coal mill and maintain the dry environment in the coal mill. The single coal feeding volume refers to the amount of coal added during a single grinding of the coal mill. When the moisture value increases, the coal feeding volume needs to be reduced to ensure that there is enough heat and ventilation to dry the coal powder. It should be further explained that the above moisture or moisture value refers to the moisture in the coal block or the humidity in the air, and the specific content is determined by the actual situation;

[0044] S2: setting a data combination for the moisture value, performing data retrieval on the data combination in the historical operation data, and dividing the historical operation data according to the specific values ​​in the data combination to obtain several data sets. Furthermore, one data combination corresponds to one data set;

[0045] It should be further explained that, since the moisture value includes the moisture value in the coal block and the air humidity, the specific expression form of the data combination of the moisture value in this embodiment is (moisture value of the coal block, air humidity);

[0046] For example, a data combination is set for the moisture value and marked as (moisture value of coal block, air humidity). According to the historical operation data, it is identified that there are multiple data groups a1 (5%, 70%), a2 (5%, 78%), a3 (8%, 80%), and a4 (6%, 75%) in the data combination. Then, according to the actual combination data in the parameter combination, data retrieval is performed in the historical operation data. The specific retrieval process is as follows: first, the a1 data group is used as the retrieval condition, and the operation data corresponding to the a1 data group in the historical operation data is summarized to obtain the first data set. At this time, this data set corresponds to the data combination a1. Then, a2, a3, and a4 are set as the retrieval conditions in turn, and according to the above method, the historical operation data is searched respectively to obtain the data sets corresponding to a2, a3, and a4.

[0047] S3: arbitrarily select a data set, and take this data set as an example, obtain the associated influencing parameters in this data set, and based on the specific values ​​in the associated influencing parameters, obtain the operating cost corresponding to each associated influencing parameter, and then divide the operating cost by the single coal feeding amount in the associated influencing parameters, and mark the result as the unit cost, wherein the operating cost refers to the energy consumed when the coal mill is operated once under the specific values ​​of the selected associated influencing parameters. For example, in a data set, the corresponding associated influencing parameters include a4 (b10, b20, b30), a5 (b10, b21, b31), and a6 (b11, b21, b32), wherein the operating cost in the associated influencing parameter a4 is C1, the operating cost of a5 is C2, and the operating cost of a6 is C3, and then the operating cost is divided by the single coal feeding amount to obtain the unit cost. Further, the unit cost corresponding to the operating cost C1 is CB1, the unit cost corresponding to the operating cost C2 is CB2, and the unit cost corresponding to the operating cost C3 is CB3;

[0048] In another embodiment of the present invention, when the number of elements in the data set does not reach the minimum data volume required by the experiment, based on the device simulation operation model, the combined data corresponding to the data set is used as a fixed parameter, the associated influence parameter is used as a dependent variable data combination, and multiple groups of associated influence parameters are set, and then the multiple groups of associated influence parameters are respectively used as input data, input and run in the device simulation operation model, and the operation cost corresponding to each associated influence parameter is obtained, and then based on the operation cost, the method in the above step S3 is used for processing to obtain the unit cost. Furthermore, the specific value of the minimum data volume required by the experiment is set by those skilled in the art based on big data experience;

[0049] S4: setting the associated influence parameter as an independent variable parameter and the unit cost as a dependent variable parameter, and obtaining a data distribution curve by using a data visualization method. In this embodiment, the data visualization method uses a three-dimensional scatter plot. Further, in the three-dimensional scatter plot, the data in the associated influence parameter are respectively set as three axes in a three-dimensional coordinate system, and the size of the point is set as the value of the unit cost, and displayed in the three-dimensional coordinate system;

[0050] S5: according to the data distribution curve, fitting the data distribution curve to obtain a function expression FX of the data distribution curve, and then using the function expression FX to obtain a complete curve of the data distribution curve, and marking it as an overall distribution curve;

[0051] Further, in this embodiment, the method for obtaining the function expression FX based on the data distribution curve is selected as polyfitn in Matlab, and the specific processing process is the existing technology and will not be described in detail here;

[0052] S6: respectively obtaining the normal operating range of each parameter in the associated influencing parameters, selecting the corresponding curve segment within the normal operating range based on the normal operating range and the overall distribution curve, and identifying the minimum value of the unit cost in the curve segment, then identifying the parameter value corresponding to the position of the minimum value of the unit cost, and setting the parameter value at this position as the standard operating parameter of the data combination;

[0053] Afterwards, all data sets are processed according to the methods in steps S3 to S6 to obtain different standard operating parameters, wherein one data set corresponds to one standard operating parameter. Furthermore, since each data set corresponds to one data combination, each data combination has one standard operating parameter.

[0054] The real-time processing unit is used to obtain real-time detection data, and at the same time, according to the real-time detection data, search in the data combination to obtain the corresponding standard operation parameters, and mark them as execution parameters. After that, the real-time processing unit transmits the execution parameters to the action execution module;

[0055] The action execution module is used to obtain the corresponding execution parameters and adjust the parameters of the coal mill according to the execution parameters.

[0056] The above description is only a preferred specific implementation manner of the present invention, but the protection scope of the present invention is not limited thereto. Any technician familiar with the technical field can make equivalent replacements or changes according to the technical scheme and inventive concept of the present invention within the technical scope disclosed by the present invention, which should be covered by the protection scope of the present invention.

Claims

1. A coal mill operation management system based on human-computer interaction, characterized in that: include: The pre-detection module is used to detect the input material of the coal mill in real time to obtain detection data, wherein the input material includes the coal block to be processed and air, and the detection data includes the moisture value of the coal block to be processed and the air humidity; An operation data collection module is used to collect the operation data of the coal mill, wherein the operation data includes equipment parameters, operation time and operation cost during operation; An integrated data processing module is used to set the equipment simulation model, obtain historical operation data, set the main analysis parameters and associated influencing parameters in the historical operation data, set data combinations according to the specific data of the main analysis parameters, and divide the historical operation data based on the data combinations to obtain data sets; Based on the associated influencing parameters in the data set, the unit cost under each associated influencing parameter is determined, and then the overall distribution curve is obtained according to the associated influencing parameters and the unit operating cost; Based on the normal operating range of the associated influencing parameters, a standard operating parameter is determined in the overall distribution curve, wherein one data combination corresponds to one standard operating parameter; Acquire real-time test data, combine the test data with the data combination, determine the standard operating parameters corresponding to the test data, and mark them as execution parameters; The action execution module obtains execution parameters and adjusts the parameters of the coal mill according to the execution parameters.

2. The coal mill operation management system based on human-computer interaction according to claim 1, characterized in that: The pre-detection module includes a coal block detection unit and a humidity detection unit. The coal block detection unit is used to detect the moisture content of the coal blocks to be processed, and the humidity detection unit is used to detect the air humidity of the air around the equipment.

3. The coal mill operation management system based on human-computer interaction according to claim 1, characterized in that: The integrated data processing module includes a simulation operation unit, an inertial processing unit and a real-time processing unit; The simulation operation unit builds a virtual operation scenario of the coal mill based on the processing scenario and marks it as an equipment simulation model. After that, the simulation operation unit and the inertial processing unit are connected in a two-way communication manner. The inertial processing unit sets data combinations based on historical operation data, divides the historical operation data according to the data combinations, obtains a data set, and then determines the unit cost under each associated influence parameter based on the associated influence parameter in the data set, and then obtains the overall distribution curve based on the associated influence parameter and the unit operation cost, and determines the standard operation parameters in the overall distribution curve based on the normal operation range of the associated influence parameter. After that, the inertial processing unit and the real-time processing unit are connected in a one-way communication manner; The real-time processing unit determines corresponding execution parameters based on real-time detection data and data combinations.

4. The coal mill operation management system based on human-computer interaction according to claim 3 is characterized in that: Methods for determining unit costs include: S1: Obtain the equipment simulation model of the coal mill, take the moisture value as the main analysis parameter, and set the associated influencing parameters according to the operation process of the equipment simulation model. The associated influencing parameters include hot air temperature, ventilation volume, and single coal feeding amount; S2: Set a data combination for the moisture value, perform data retrieval on the data combination in the historical operation data, and divide the historical operation data according to the specific values ​​in the data combination to obtain several data sets, wherein one data combination corresponds to one data set, and the form of the data combination is (moisture value of coal block, air humidity); S3: Select any data set, obtain the associated influencing parameters in this data set, and based on the specific values ​​of the associated influencing parameters, obtain the operating cost corresponding to each associated influencing parameter, and then divide the operating cost by the single coal feeding amount in the associated influencing parameter, and mark the result as unit cost, wherein the operating cost refers to the energy consumed when the coal mill runs once under the specific values ​​of the selected associated influencing parameters.

5. The coal mill operation management system based on human-computer interaction according to claim 3 is characterized in that: The overall distribution curve is determined as follows: The associated influence parameter is set as the independent variable parameter, the unit cost is set as the dependent variable parameter, and a data distribution curve is obtained by using a three-dimensional scatter plot, wherein in the three-dimensional scatter plot, the data in the associated influence parameter are respectively set as the three axes in the three-dimensional coordinate system, the size of the point is set as the value of the unit cost, and displayed in the three-dimensional coordinate system; According to the data distribution curve, the data distribution curve is fitted to obtain the function expression FX of the data distribution curve, and then the function expression FX is used to obtain the complete curve of the data distribution curve and marked as the overall distribution curve.

6. A coal mill operation management system based on human-computer interaction according to claim 5, characterized in that: The methods for determining standard operating parameters include: The normal operating range of each parameter in the associated influencing parameters is obtained respectively. Based on the normal operating range and the overall distribution curve, the corresponding curve segment within the normal operating range is selected, and the minimum value of the unit cost is identified in this curve segment. Then, the parameter value corresponding to the position of the minimum unit cost is identified, and the parameter value at this position is set as the standard operating parameter of this data combination.

7. The coal mill operation management system based on human-computer interaction according to claim 4, characterized in that: When the number of elements in the data set does not reach the minimum data volume required by the experiment, based on the equipment simulation operation model, the combined data corresponding to this data set is used as a fixed parameter, the associated influence parameter is used as a dependent variable data combination, and multiple groups of associated influence parameters are set. Then, the set multiple groups of associated influence parameters are used as input data, respectively, and input and run in the equipment simulation operation model to obtain the operating cost corresponding to each associated influence parameter, and then processed according to the method in step S3 to obtain the unit cost.

8. The coal mill operation management system based on human-computer interaction according to claim 3, characterized in that: Methods for determining execution parameters include: Acquire real-time detection data, search in the data combination according to the real-time detection data, obtain the corresponding standard operating parameters, and mark them as execution parameters.

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