A data adjustment method and related device

Abstract

The embodiment of the present application discloses a data adjustment method, including: obtaining first behavior information input by a user, the first behavior information being the user's operating behavior information on a unit; inputting the first behavior information into a first mechanism model to obtain first operation information, the first mechanism model being a pre-trained model, and the first operation information being information on an impact amount that affects coal consumption in a power plant; inputting the first operation information into a data model to obtain adjustment information, the data model being a pre-set model, and the adjustment information being an adjustment amount of the operating behavior obtained by calculation; adjusting the first behavior information according to the adjustment information to obtain second behavior information.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of thermal power generation, and in particular to a data adjustment method and related devices. Background Art

[0002] my country's power generation is mainly based on thermal power, and 70% to 80% of the cost of thermal power is mainly fuel cost. Therefore, the rational use of fuel can save energy and reduce consumption on the one hand, and reduce fuel costs on the other. In order to make rational use of fuel, operators will operate the unit based on experience to minimize coal consumption under a certain unit efficiency.

[0003] However, the operating behavior of the unit by the operator is determined based on experience. Although it can reduce coal consumption to a certain extent, the operating behavior based on experience is not accurate enough after all, and thus it is impossible to accurately reduce coal consumption to the minimum value, which brings certain inconvenience to the operator. Summary of the invention

[0004] The embodiments of the present application provide a data adjustment method and related devices.

[0005] A data adjustment method, comprising:

[0006] Acquire first behavior information input by a user, where the first behavior information is information about the user's operation behavior on the unit;

[0007] Inputting the first behavior information into a first mechanism model to obtain first operation information, wherein the first mechanism model is a pre-trained model, and the first operation information is information on an influencing amount affecting coal consumption of a power plant;

[0008] Inputting the first operation information into a data model to obtain adjustment information, wherein the data model is a preset model, and the adjustment information is an adjustment amount of the operation behavior obtained through calculation;

[0009] The first behavior information is adjusted according to the adjustment information to obtain second behavior information.

[0010] Optionally, inputting the first operation information into a data model to obtain adjustment information includes:

[0011] Inputting the first operation information and the reference operation information into the comparison module of the data model to obtain the operation consumption difference, wherein the reference operation information is the operation information corresponding to the lowest coal consumption in the database, and the operation consumption difference represents the numerical difference between the first operation information and the reference operation information;

[0012] Obtaining historical behavior information and historical operation information of the database;

[0013] Obtaining a unit consumption difference according to the historical behavior information and the historical operation information, wherein the unit consumption difference is a ratio of a numerical change of the historical operation information to a numerical change of the historical behavior information;

[0014] The operation consumption difference and the unit consumption difference are input into the calculation module of the data model to obtain the adjustment information.

[0015] Optionally, before obtaining the first behavior information input by the user, the method further includes:

[0016] The historical behavior information and the historical operation information are input into a second mechanism model to train the second mechanism model into the first mechanism model.

[0017] Optionally, after adjusting the first behavior information according to the adjustment information to obtain second behavior information, the method further includes:

[0018] inputting the second behavior information into the first mechanism model to obtain second operation information;

[0019] Obtaining a first coal consumption according to the second behavior information and the second operation information;

[0020] Obtaining a second coal consumption according to the reference operation information and reference behavior information corresponding to the reference operation information;

[0021] determining whether the first coal consumption is less than the second coal consumption;

[0022] If so, the reference behavior information in the database is updated to the second behavior information, and the reference operation information in the database is updated to the second operation information.

[0023] Optionally, after inputting the first operation information and the reference operation information into a comparison module of the data model to obtain the operation consumption difference, the method further includes:

[0024] Obtaining a first score according to the first behavior information, the reference behavior information, and the operation consumption difference, wherein the first score is a score of the operation behavior in the first behavior information, and the reference behavior information is behavior information corresponding to the reference operation information;

[0025] The first scores are weighted to obtain a second score, where the second score is the total score of all operation behaviors in the first behavior information.

[0026] Optionally, the first behavior information includes: burner power distribution mode, coal mill steel ball loading amount and proportion, coal mill capacity damper opening and coal mill bypass damper opening.

[0027] Optionally, the first operating information includes: plant power consumption rate, fly ash combustible content, exhaust gas temperature, oxygen content, reheater desuperheating water volume and reheat steam temperature.

[0028] A data adjustment device, comprising:

[0029] An acquisition unit, used to acquire first behavior information input by a user, where the first behavior information is information about the user's operation behavior on the unit;

[0030] An input unit, used to input the first behavior information into a first mechanism model to obtain first operation information, wherein the first mechanism model is a pre-trained model, and the first operation information is information on an influencing amount affecting coal consumption of a power plant;

[0031] The input unit is further used to input the first operation information into a data model to obtain adjustment information, wherein the data model is a preset model, and the adjustment information is an adjustment amount of the operation behavior obtained by calculation;

[0032] An adjustment unit is used to adjust the first behavior information according to the adjustment information to obtain second behavior information.

[0033] A data adjustment device, comprising:

[0034] CPU, memory and input / output interface;

[0035] The memory is a short-term storage memory or a persistent storage memory;

[0036] The central processing unit is configured to communicate with the memory and execute instructions in the memory to perform the above method.

[0037] A computer-readable storage medium includes instructions. When the instructions are executed on a computer, the computer executes the above method.

[0038] It can be seen from the above technical solutions that the embodiments of the present application have the following advantages:

[0039] After obtaining the first behavior information input by the user, the first behavior information is input into the first mechanism model to obtain the first operation information. Then the first operation information is input into the data model to obtain the adjustment information. Finally, the first behavior information is adjusted according to the adjustment information to obtain the second behavior information. The adjustment information is obtained through the mechanism model and the data model to adjust the information input by the user at the beginning, thereby adjusting the operation behavior provided by the user, obtaining a more accurate operation behavior to minimize coal consumption and improve the user experience. BRIEF DESCRIPTION OF THE DRAWINGS

[0040] Figure 1A schematic diagram of an embodiment of the data adjustment method of the present application;

[0041] Figure 2 A schematic diagram of another embodiment of the data adjustment method of the present application;

[0042] Figure 3 A schematic diagram of an embodiment of a data adjustment device of the present application;

[0043] Figure 4 This is a schematic diagram of another embodiment of the data adjustment device of the present application. DETAILED DESCRIPTION

[0044] The embodiments of the present application provide a data adjustment method and related devices.

[0045] The operation behavior of the operator on the thermal power unit is often not accurate enough, and the coal consumption cannot be guaranteed to be low. To solve the above problem, the present application provides a data adjustment method and related devices to adjust the operation behavior input by the user to obtain a more accurate operation behavior.

[0046] See also Figure 1 , an embodiment of the data adjustment method of the present application includes:

[0047] 101. Obtain the first behavior information input by the user;

[0048] Get the first behavior information input by the user. The first behavior information is the information about the user's operation behavior on the unit, which can be real-time information or information in the database, and is not limited here. Specifically, the behavior information includes information on the burner power distribution method, the coal mill steel ball loading amount and ratio, the coal mill capacity damper opening, the coal mill bypass damper opening, and other operating behaviors that can affect coal consumption. When monitoring the unit, the user can mark the behavior information to facilitate subsequent operations.

[0049] 102. Input the first behavior information into a first mechanism model to obtain first operation information;

[0050] After obtaining the first behavior information, the first behavior information is input into the first mechanism model to obtain the first operation information. Among them, the first mechanism model is a pre-trained model. The first operation information is the information of the influencing quantity that affects the coal consumption of the power plant, including the power consumption rate of the plant, the combustible content of fly ash, the exhaust temperature, the oxygen content, the reheater cooling water volume and the reheat steam temperature. Specifically, the first mechanism model can predict the corresponding operation information according to the behavior information, and the corresponding first operation information can be obtained by inputting the first behavior information. For example, the first behavior information is that the capacity damper opening of the coal mill is 40%, and the exhaust temperature of 170°C is obtained in the first operation information after prediction by the first mechanism model.

[0051] 103. Input the first operation information into a data model to obtain adjustment information;

[0052] After obtaining the first operation information, the first operation information is input into the data model to obtain the adjustment information. The data model is a pre-set model. The adjustment information is the adjustment amount of the operation behavior obtained by calculation. For example, the adjustment information can be the adjustment amount of 20% of the capacity damper opening of the coal mill. Specifically, the first operation information is compared with the operation information corresponding to the lowest coal consumption in the database, and the numerical difference between the two is obtained after the comparison, and then the required adjustment information is calculated according to the numerical difference.

[0053] 104. Adjust the first behavior information according to the adjustment information to obtain second behavior information.

[0054] After the adjustment information is calculated, the first behavior information is adjusted using the adjustment information to obtain the second behavior information. For example, if the adjustment information is an adjustment amount of 20% of the coal mill capacity damper opening, and the first behavior information is 40% of the coal mill capacity damper opening, then the second behavior information is 60% of the coal mill capacity damper opening. At this time, it is judged that 60% of the coal mill capacity damper opening is the appropriate behavior information to minimize coal consumption.

[0055] In the embodiment of the present application, after obtaining the first behavior information input by the user, the first behavior information is input into the first mechanism model to obtain the first operation information. Then, the first operation information is input into the data model to obtain the adjustment information, and finally, the first behavior information is adjusted according to the adjustment information to obtain the second behavior information. The adjustment information is obtained through the mechanism model and the data model to adjust the information input by the user at the beginning, thereby adjusting the operation behavior provided by the user, obtaining a more accurate operation behavior to minimize coal consumption, and improving the user experience.

[0056] See also Figure 2 Another embodiment of the data adjustment method of the present application includes:

[0057] 201. Inputting the historical behavior information and the historical operation information into a second mechanism model to train the second mechanism model into the first mechanism model;

[0058] Input the historical behavior information and the historical operation information into the second mechanism model to train the second mechanism model into the first mechanism model. The historical behavior information and the corresponding historical operation information are both real historical data in the database, which are used as training data to train the second mechanism model, and the first mechanism model is obtained after the training is completed. Specifically, the predicted operation information is obtained by predicting the input historical behavior information, and then the predicted value is compared with the actual value, and the comparison result is used to update. When the number of training times reaches the preset number, the training can be ended.

[0059] 202. Input the first behavior information into a first mechanism model to obtain first operation information;

[0060] After obtaining the first behavior information, the first behavior information is input into the first mechanism model to obtain the first operation information. Among them, the first mechanism model is a pre-trained model. The first operation information is the information of the influencing quantity that affects the coal consumption of the power plant, including the power consumption rate of the plant, the combustible content of fly ash, the exhaust temperature, the oxygen content, the reheater cooling water volume and the reheat steam temperature. Specifically, the first mechanism model can predict the corresponding operation information according to the behavior information, and the corresponding first operation information can be obtained by inputting the first behavior information. For example, the first behavior information is that the capacity damper opening of the coal mill is 40%, and the exhaust temperature of 170°C is obtained in the first operation information after prediction by the first mechanism model.

[0061] 203. Input the first operation information and the reference operation information into a comparison module of the data model to obtain an operation consumption difference;

[0062] After obtaining the first operation information, the first operation information and the reference operation information are input into the comparison module of the data model to obtain the operation consumption difference. The reference operation information is the operation information corresponding to the lowest coal consumption in the database, the operation consumption difference represents the numerical difference between the first operation information and the reference operation information, and the data model is a pre-set model. For example, the exhaust temperature in the first operation information is 170°C, and the exhaust temperature in the reference operation information is 200°C, then the operation consumption difference is the 30°C temperature difference of the exhaust temperature.

[0063] 204. Obtain a first score according to the first behavior information, the reference behavior information, and the operation consumption difference;

[0064] The first score is obtained according to the first behavior information, the reference behavior information and the operation consumption difference. Among them, the first score is the score of the operation behavior in the first behavior information. The reference behavior information is the behavior information corresponding to the reference operation information. Specifically, the score of the case with the greatest positive impact is taken as the highest score, the score of the case with the greatest negative impact is taken as the lowest score, and the intermediate scores are evenly distributed. For example, in the first behavior information, when the coal mill capacity damper opening is 60%, the positive impact is the greatest, the operation consumption difference is 0, and the score is 100. When the coal mill capacity damper opening is 40%, the negative impact is the greatest, the operation consumption difference is 1, and the score is 0. When the coal mill capacity damper opening is 50%, the consumption difference is 0.5, and the score is 50.

[0065] 205. Perform weighted calculation on the first scores to obtain a second score;

[0066] The first score is weighted to obtain the second score. The second score is the total score of all operating behaviors in the first behavior information. The weight can be adjusted according to demand. For example, the first behavior information includes the coal mill capacity damper opening, the coal mill bypass damper opening and the feed water temperature. When the coal mill capacity damper opening is 40%, the score is 50, when the coal mill bypass damper opening is 60%, the score is 60, and when the feed water temperature is 160°C, the score is 80. At this time, according to demand, these three operating behaviors are given weights of 50%, 30%, and 20%, then in the end, the second score is 59 points.

[0067] 206. Obtain historical behavior information and historical operation information from the database;

[0068] The historical behavior information and historical operation information of the database are obtained. The historical behavior information is the operation behavior of the user on the thermal power unit in the past, and the historical operation information is the operation information corresponding to the historical behavior information.

[0069] 207. Obtaining a unit consumption difference according to the historical behavior information and the historical operation information;

[0070] The unit consumption difference is obtained based on the historical behavior information and the historical operation information. The unit consumption difference is the ratio of the numerical change of the historical operation information to the numerical change of the historical behavior information. For example, if the difference of the pulverizer capacity damper opening in the historical behavior information is 20%, and the difference of the exhaust gas temperature in the historical operation information is 30°C, then the unit consumption difference is 1.5.

[0071] 208. Input the operation consumption difference and the unit consumption difference into the calculation module of the data model to obtain the adjustment information;

[0072] The operation consumption difference and the unit consumption difference are input into the calculation module of the data model to obtain adjustment information. The adjustment information is the adjustment amount of the operation behavior obtained by calculation. Specifically, the ratio of the operation consumption difference to the unit consumption difference can be the adjustment amount. For example, if the operation consumption difference is 30°C and the unit consumption difference is 1.5, the adjustment amount is 20%.

[0073] 209. Adjust the first behavior information according to the adjustment information to obtain second behavior information;

[0074] After the adjustment information is calculated, the first behavior information is adjusted using the adjustment information to obtain the second behavior information. For example, if the adjustment information is an adjustment amount of 20% of the coal mill capacity damper opening, and the first behavior information is 40% of the coal mill capacity damper opening, then the second behavior information is 60% of the coal mill capacity damper opening. At this time, it is judged that 60% of the coal mill capacity damper opening is the appropriate behavior information to minimize coal consumption.

[0075] 210. Input the second behavior information into the first mechanism model to obtain second operation information;

[0076] After obtaining the second behavior information, the second behavior information is input into the first mechanism model to obtain the second operation information. The operating condition data identical to the operating condition with the lowest coal consumption in the database is pre-set, and then the second operation information corresponding to the second behavior information is predicted to prepare for the subsequent steps. Among them, the operating conditions include the main steam flow, ambient temperature and low calorific value of the coal entering the furnace. These three quantities can be adjusted arbitrarily to form an operating condition.

[0077] 211. Obtain a first coal consumption according to the second behavior information and the second operation information;

[0078] The first coal consumption is obtained according to the second behavior information and the second operation information. The coal consumption corresponding to the second behavior information and the second operation information is obtained under the set working conditions.

[0079] 212. Obtain a second coal consumption according to the reference operation information and reference behavior information corresponding to the reference operation information;

[0080] The second coal consumption is obtained according to the reference operation information and the reference behavior information corresponding to the reference operation information, wherein the second coal consumption is the lowest value of the coal consumption in the current database.

[0081] 213. Determine whether the first coal consumption is less than the second coal consumption. If so, execute step 214; if not, execute step 215;

[0082] 214. Update the reference behavior information in the database to the second behavior information, and update the reference operation information in the database to the second operation information;

[0083] When the first coal consumption is less than the second coal consumption, the database is updated. Under the set working conditions, the reference behavior information in the database is updated to the second behavior information, and the reference operation information in the database is updated to the second operation information to facilitate subsequent searches.

[0084] 215. Do not update the database.

[0085] When the first coal consumption is greater than or equal to the second coal consumption, the database is not updated, and the data in the database under the set working conditions remains unchanged.

[0086] In this embodiment, the second mechanism model is first trained to obtain the first mechanism model, and then after obtaining the first behavior information input by the user, the first behavior information is input into the first mechanism model to obtain the first operation information. Then the first operation information is input into the data model to obtain the adjustment information, and the first behavior information is adjusted according to the adjustment information to obtain the second behavior information. Finally, the coal consumption of the new and old data is compared to decide whether to update the database. The adjustment information is obtained through the mechanism model and the data model to adjust the information input by the user at the beginning, so as to adjust the operation behavior provided by the user, and obtain a more accurate operation behavior to minimize the coal consumption. After the second behavior information and the second operation information are obtained, if the corresponding coal consumption is lower, the database is updated to maintain the accuracy of the database and facilitate the user's search and use. In addition, the mechanism model and the data model can also be used to automatically update the database. These all enhance the user experience.

[0087] The data adjustment device of the present application is described below. Figure 3 , an embodiment of the data adjustment device of the present application includes:

[0088] An acquisition unit 301 is used to acquire first behavior information input by a user, where the first behavior information is information about the user's operation behavior on the unit;

[0089] An input unit 302 is used to input the first behavior information into the first mechanism model to obtain first operation information, where the first mechanism model is a pre-trained model, and the first operation information is information on the influencing amount affecting the coal consumption of the power plant;

[0090] The input unit 302 is further used to input the first operation information into the data model to obtain adjustment information, where the data model is a preset model and the adjustment information is an adjustment amount of the operation behavior obtained through calculation;

[0091] The adjustment unit 303 is configured to adjust the first behavior information according to the adjustment information to obtain the second behavior information.

[0092] In this embodiment, after the acquisition unit 301 acquires the first behavior information input by the user, the input unit 302 inputs the first behavior information into the first mechanism model to obtain the first operation information. Then, the first operation information is input into the data model to obtain the adjustment information. Finally, the adjustment unit 303 adjusts the first behavior information according to the adjustment information to obtain the second behavior information. The adjustment information is obtained through the mechanism model and the data model to adjust the information input by the user at the beginning, thereby adjusting the operation behavior provided by the user, obtaining a more accurate operation behavior to minimize coal consumption, and improving the user experience.

[0093] The functions and processes performed by each unit in the data adjustment device of this embodiment are similar to those of the aforementioned Figure 1 to Figure 2 The functions and processes performed by the data adjustment device are similar and will not be repeated here.

[0094] Figure 4 4 is a schematic diagram of the structure of a data adjustment device provided in an embodiment of the present application. The data adjustment device 400 may include one or more central processing units (CPU) 401 and a memory 405. The memory 405 stores one or more application programs or data.

[0095] The memory 405 may be a volatile storage or a persistent storage. The program stored in the memory 405 may include one or more modules, each of which may include a series of instruction operations in the data adjustment device. Furthermore, the central processor 401 may be configured to communicate with the memory 405 and execute a series of instruction operations in the memory 405 on the data adjustment device 400.

[0096] The data adjustment device 400 may also include one or more power supplies 402, one or more wired or wireless network interfaces 403, one or more input and output interfaces 404, and / or one or more operating systems, such as Windows ServerTM, Mac OS XTM, UnixTM, LinuxTM, FreeBSDTM, etc.

[0097] The CPU 401 can execute the aforementioned Figure 1 to Figure 2 The operations performed by the data adjustment device in the illustrated embodiment will not be described in detail here.

[0098] Those skilled in the art can clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0099] In the several embodiments provided in the present application, it should be understood that the disclosed systems, devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be an indirect coupling or communication connection through some interfaces, devices or units, which can be electrical, mechanical or other forms.

[0100] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0101] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of software functional units.

[0102] If the integrated unit is implemented in the form of a software functional unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the present application is essentially or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium, including a number of instructions to enable a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, read-only memory), random access memory (RAM, random access memory), disk or optical disk and other media that can store program code.

Claims

1. A data adjustment method, characterized in that: include: Acquire first behavior information input by a user, where the first behavior information is information about the user's operation behavior on the unit; Inputting the first behavior information into a first mechanism model to obtain first operation information, wherein the first mechanism model is a pre-trained model, and the first operation information is information on an influencing amount affecting coal consumption of a power plant; Inputting the first operation information into a data model to obtain adjustment information, wherein the data model is a preset model, and the adjustment information is an adjustment amount of the operation behavior obtained through calculation; Adjust the first behavior information according to the adjustment information to obtain second behavior information; The step of inputting the first operation information into a data model to obtain adjustment information includes: Inputting the first operation information and the reference operation information into the comparison module of the data model to obtain the operation consumption difference, wherein the reference operation information is the operation information corresponding to the lowest coal consumption in the database, and the operation consumption difference represents the numerical difference between the first operation information and the reference operation information; Obtaining historical behavior information and historical operation information of the database; Obtaining a unit consumption difference according to the historical behavior information and the historical operation information, wherein the unit consumption difference is a ratio of a numerical change of the historical operation information to a numerical change of the historical behavior information; Inputting the operation consumption difference and the unit consumption difference into a calculation module of the data model to obtain the adjustment information; The first behavior information includes: burner power distribution mode, coal mill steel ball loading amount and ratio, coal mill capacity damper opening and coal mill bypass damper opening; The first operation information includes: plant power consumption rate, fly ash combustible content, exhaust gas temperature, oxygen content, reheater desuperheating water volume and reheat steam temperature.

2. The data adjustment method according to claim 1, characterized in that: Before obtaining the first behavior information input by the user, the method further includes: The historical behavior information and the historical operation information are input into a second mechanism model to train the second mechanism model into the first mechanism model.

3. The data adjustment method according to claim 1, characterized in that: After adjusting the first behavior information according to the adjustment information to obtain second behavior information, the method further includes: inputting the second behavior information into the first mechanism model to obtain second operation information; Obtaining a first coal consumption according to the second behavior information and the second operation information; Obtaining a second coal consumption according to the reference operation information and reference behavior information corresponding to the reference operation information; determining whether the first coal consumption is less than the second coal consumption; If so, the reference behavior information in the database is updated to the second behavior information, and the reference operation information in the database is updated to the second operation information.

4. The data adjustment method according to claim 1, characterized in that: After inputting the first operation information and the reference operation information into the comparison module of the data model to obtain the operation consumption difference, the method further includes: Obtaining a first score according to the first behavior information, the reference behavior information, and the operation consumption difference, wherein the first score is a score of the operation behavior in the first behavior information, and the reference behavior information is behavior information corresponding to the reference operation information; The first scores are weighted to obtain a second score, where the second score is the total score of all operation behaviors in the first behavior information.

5. A data adjustment device, characterized in that: include: An acquisition unit, used to acquire first behavior information input by a user, where the first behavior information is information about the user's operation behavior on the unit; An input unit, used to input the first behavior information into a first mechanism model to obtain first operation information, wherein the first mechanism model is a pre-trained model, and the first operation information is information on an influencing amount affecting coal consumption of a power plant; The input unit is further used to input the first operation information into a data model to obtain adjustment information, wherein the data model is a preset model, and the adjustment information is an adjustment amount of the operation behavior obtained by calculation; an adjusting unit, configured to adjust the first behavior information according to the adjustment information to obtain second behavior information; The input unit is specifically used for: Inputting the first operation information and the reference operation information into the comparison module of the data model to obtain the operation consumption difference, wherein the reference operation information is the operation information corresponding to the lowest coal consumption in the database, and the operation consumption difference represents the numerical difference between the first operation information and the reference operation information; Obtaining historical behavior information and historical operation information of the database; Obtaining a unit consumption difference according to the historical behavior information and the historical operation information, wherein the unit consumption difference is a ratio of a numerical change of the historical operation information to a numerical change of the historical behavior information; Inputting the operation consumption difference and the unit consumption difference into a calculation module of the data model to obtain the adjustment information; The first behavior information includes: burner power distribution mode, coal mill steel ball loading amount and ratio, coal mill capacity damper opening and coal mill bypass damper opening; The first operation information includes: plant power consumption rate, fly ash combustible content, exhaust gas temperature, oxygen content, reheater desuperheating water volume and reheat steam temperature.

6. A data adjustment device, characterized in that: include: CPU, memory and input / output interface; The memory is a short-term storage memory or a persistent storage memory; The central processing unit is configured to communicate with the memory and execute instructions in the memory to perform the method according to any one of claims 1 to 4.

7. A computer-readable storage medium, characterized in that: The method comprises instructions, which, when executed on a computer, cause the computer to execute the method according to any one of claims 1 to 4.

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