Intelligent decision-making method and device for operation of coal-fired power plant based on virtual operation

Abstract

The invention discloses an intelligent decision-making method for operation of a coal-fired power plant based on virtual operation. The method comprises the following steps: collecting virtual financial data and virtual business data; splitting the virtual financial data to obtain a budget guide mark and a settlement guide mark; respectively fitting the virtual business data with the budget guide mark and the settlement guide mark to obtain an operation resource allocation strategy; and comparing the operation resource allocation strategy with a preset strategy threshold to obtain target decision information. The technical problems that in the prior art, decision generation in the process of virtual operation of a coal-fired power plant is often established or generated in a fixed mode according to a single index or parameter, intelligence of diversified and flexible decisions is lacked, and the execution efficiency of the decisions is reduced are solved.

Description

Technical Field

[0001] The present invention relates to the field of virtual power plant operation decision generation, and in particular to an intelligent decision-making method for coal-fired power plant operation based on virtual operation. Background Art

[0002] With the continuous development of intelligent technology, people are increasingly using intelligent devices in their lives, work and study. The use of intelligent technology has improved the quality of people's lives and increased the efficiency of their study and work.

[0003] Currently, when generating virtual operational decisions for coal-fired power plants, staff typically adapt operational decisions based on the virtual power plant's operating parameters. The core of these decisions is resource allocation and utilization planning. However, existing technologies for generating decisions in virtual coal-fired power plant operations often rely on a fixed model based on a single indicator or parameter, lacking the intelligence required for diversified and flexible decision-making, which reduces decision-making efficiency.

[0004] To address the above-mentioned problems, no effective solutions have been proposed so far. Summary of the Invention

[0005] An embodiment of the present invention provides an intelligent decision-making method for the operation of a coal-fired power plant based on virtual operation, so as to at least solve the technical problem in the prior art that the generation of decisions in the process of virtual operation of a coal-fired power plant is often based on a single indicator or parameter to establish or generate a fixed model, lacks the intelligence of diversified and flexible decision-making, and reduces the efficiency of decision execution.

[0006] According to one aspect of an embodiment of the present invention, a method for intelligent decision-making for the operation of a coal-fired power plant based on virtual operation is provided, comprising: collecting virtual financial data and virtual business data; splitting the virtual financial data to obtain a budget-oriented marker and a settlement-oriented marker; fitting the virtual business data with the budget-oriented marker and the settlement-oriented marker, respectively, to obtain an operation resource allocation strategy; and comparing the operation resource allocation strategy with a preset strategy threshold to obtain target decision information.

[0007] Optionally, the virtual financial data includes: budget financial data, settlement financial data, and cash flow financial data; the virtual business data includes: business procurement data, business deployment data, and annual plan data.

[0008] Optionally, after splitting the virtual financial data to obtain the budget-oriented mark and the settlement-oriented mark, the method further comprises: using a mark wizard formula

[0009] E(n)=α*[log(2,1 / P(n))]

[0010] The budget guidance mark and the settlement guidance mark are digitized, wherein E represents the digitized guidance mark, α represents the numerical segmentation factor, P represents the non-digitized guidance mark, and n represents the nth guidance identification element.

[0011] Optionally, the comparing the operation resource allocation strategy with the preset strategy threshold to obtain the target decision information includes: obtaining the preset strategy threshold according to the virtual operation scenario; numerically comparing the operation resource allocation strategy with the preset strategy threshold to obtain a comparison result; when the comparison result is less than, generating the target decision information according to the operation resource allocation strategy and the decision construction model; when the comparison result is greater than, inputting the operation resource allocation strategy into the complementary model to generate a supplementary strategy, and outputting the supplementary strategy as the so-called target decision information.

[0012] According to another aspect of an embodiment of the present invention, an intelligent decision-making device for the operation of a coal-fired power plant based on virtual operation is also provided, including: an acquisition module for collecting virtual financial data and virtual business data; a splitting module for splitting the virtual financial data to obtain a budget-oriented mark and a settlement-oriented mark; a fitting module for fitting the virtual business data with the budget-oriented mark and the settlement-oriented mark respectively to obtain an operation resource allocation strategy; a comparison module for comparing the operation resource allocation strategy with a preset strategy threshold to obtain target decision information.

[0013] Optionally, the virtual financial data includes: budget financial data, settlement financial data, and cash flow financial data; the virtual business data includes: business procurement data, business deployment data, and annual plan data.

[0014] Optionally, the device further comprises: a digitization module for using a marking wizard formula

[0015] E(n)=α*[log(2,1 / P(n))]

[0016] The budget guidance mark and the settlement guidance mark are digitized, wherein E represents the digitized guidance mark, α represents the numerical segmentation factor, P represents the non-digitized guidance mark, and n represents the nth guidance identification element.

[0017] Optionally, the comparison module includes: a threshold unit for obtaining the preset strategy threshold based on a virtual operation scenario; a comparison unit for numerically comparing the operation resource allocation strategy with the preset strategy threshold to obtain a comparison result; a first output unit for generating target decision information based on the operation resource allocation strategy and the decision construction model when the comparison result is less than; and a second output unit for inputting the operation resource allocation strategy into the complementary model to generate a supplementary strategy when the comparison result is greater than, and outputting the supplementary strategy as the so-called target decision information.

[0018] According to another aspect of an embodiment of the present invention, a non-volatile storage medium is provided, which includes a stored program, wherein when the program is run, it controls the device where the non-volatile storage medium is located to execute an intelligent decision-making method for the operation of a coal-fired power plant based on virtual operation.

[0019] According to another aspect of an embodiment of the present invention, an electronic device is provided, comprising a processor and a memory; the memory stores computer-readable instructions, and the processor is used to run the computer-readable instructions, wherein the computer-readable instructions, when running, execute an intelligent decision-making method for the operation of a coal-fired power plant based on virtual operation.

[0020] In an embodiment of the present invention, a method is adopted in which virtual financial data and virtual business data are collected; the virtual financial data are split to obtain a budget-oriented tag and a settlement-oriented tag; the virtual business data are fitted with the budget-oriented tag and the settlement-oriented tag respectively to obtain an operation resource allocation strategy; the operation resource allocation strategy is compared with a preset strategy threshold to obtain target decision information. This method solves the technical problem in the prior art that the generation of decisions in the process of virtual operation of coal-fired power plants is often based on a single indicator or parameter to establish or generate a fixed model, lacks the intelligence of diversified and flexible decision-making, and reduces the efficiency of decision execution. BRIEF DESCRIPTION OF THE DRAWINGS

[0021] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of this application. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute an improper limitation of the present invention. In the drawings:

[0022] Figure 1 is a flow chart of an intelligent decision-making method for coal-fired power plant operation based on virtual operation according to an embodiment of the present invention;

[0023] Figure 2 This is a structural block diagram of an intelligent decision-making device for coal-fired power plant operation based on virtual operation according to an embodiment of the present invention;

[0024] Figure 3 is a block diagram of a terminal device for executing a method according to an embodiment of the present invention;

[0025] Figure 4 It is a storage unit for holding or carrying a program code for implementing a method according to an embodiment of the present invention. DETAILED DESCRIPTION

[0026] In order to enable those skilled in the art to better understand the solutions of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the embodiments described are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative efforts should fall within the scope of protection of the present invention.

[0027] It should be noted that the terms "first", "second", etc. in the description and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that the numbers used in this way can be interchanged where appropriate, so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "including" and "having" and any variations thereof are intended to cover non-exclusive inclusions. For example, a process, method, system, product or device that includes a series of steps or units is not necessarily limited to those steps or units clearly listed, but may include other steps or units that are not clearly listed or inherent to these processes, methods, products or devices.

[0028] According to an embodiment of the present invention, a method embodiment of an intelligent decision-making method for operating a coal-fired power plant based on virtual operation is provided. It should be noted that the steps shown in the flowchart of the accompanying drawings can be executed in a computer system such as a set of computer executable instructions, and although a logical order is shown in the flowchart, in some cases, the steps shown or described can be executed in an order different from that shown here.

[0029] Example 1

[0030] Figure 1 is a flow chart of an intelligent decision-making method for coal-fired power plant operation based on virtual operation according to an embodiment of the present invention. Figure 1 As shown, the method includes the following steps:

[0031] Step S102: Collect virtual financial data and virtual business data.

[0032] Step S104: split the virtual financial data to obtain a budget-oriented mark and a settlement-oriented mark.

[0033] Step S106: Fit the virtual business data to the budget-oriented marker and the settlement-oriented marker respectively to obtain an operation resource allocation strategy.

[0034] Step S108: Compare the operation resource allocation strategy with a preset strategy threshold to obtain target decision information.

[0035] Optionally, the virtual financial data includes: budget financial data, settlement financial data, and cash flow financial data; the virtual business data includes: business procurement data, business deployment data, and annual plan data.

[0036] Optionally, after splitting the virtual financial data to obtain the budget-oriented mark and the settlement-oriented mark, the method further comprises: using a mark wizard formula

[0037] E(n)=α*[log(2,1 / P(n))]

[0038] The budget guidance mark and the settlement guidance mark are digitized, wherein E represents the digitized guidance mark, α represents the numerical segmentation factor, P represents the non-digitized guidance mark, and n represents the nth guidance identification element.

[0039] Optionally, the comparing the operation resource allocation strategy with the preset strategy threshold to obtain the target decision information includes: obtaining the preset strategy threshold according to the virtual operation scenario; numerically comparing the operation resource allocation strategy with the preset strategy threshold to obtain a comparison result; when the comparison result is less than, generating the target decision information according to the operation resource allocation strategy and the decision construction model; when the comparison result is greater than, inputting the operation resource allocation strategy into the complementary model to generate a supplementary strategy, and outputting the supplementary strategy as the so-called target decision information.

[0040] Through the above embodiments, the technical problem in the prior art that the generation of decisions in the process of virtual operation of coal-fired power plants is often based on a single indicator or parameter to establish or generate a fixed model, lacks the intelligence of diversified and flexible decision-making, and reduces the efficiency of decision-making execution is solved.

[0041] Example 2

[0042] Figure 2 This is a structural block diagram of an intelligent decision-making device for coal-fired power plant operation based on virtual operation according to an embodiment of the present invention. Figure 2 As shown, the device includes:

[0043] The collection module 20 is used to collect virtual financial data and virtual business data.

[0044] The splitting module 22 is used to split the virtual financial data to obtain a budget-oriented mark and a settlement-oriented mark.

[0045] The fitting module 24 is configured to fit the virtual business data with the budget-oriented marker and the settlement-oriented marker respectively to obtain an operation resource allocation strategy.

[0046] The comparison module 26 is configured to compare the operation resource allocation strategy with a preset strategy threshold to obtain target decision information.

[0047] Optionally, the virtual financial data includes: budget financial data, settlement financial data, and cash flow financial data; the virtual business data includes: business procurement data, business deployment data, and annual plan data.

[0048] Optionally, the device further comprises: a digitization module for using a marking wizard formula

[0049] E(n)=α*[log(2,1 / P(n))]

[0050] The budget guidance mark and the settlement guidance mark are digitized, wherein E represents the digitized guidance mark, α represents the numerical segmentation factor, P represents the non-digitized guidance mark, and n represents the nth guidance identification element.

[0051] Optionally, the comparison module includes: a threshold unit for obtaining the preset strategy threshold based on a virtual operation scenario; a comparison unit for numerically comparing the operation resource allocation strategy with the preset strategy threshold to obtain a comparison result; a first output unit for generating target decision information based on the operation resource allocation strategy and the decision construction model when the comparison result is less than; and a second output unit for inputting the operation resource allocation strategy into the complementary model to generate a supplementary strategy when the comparison result is greater than, and outputting the supplementary strategy as the so-called target decision information.

[0052] Through the above embodiments, the technical problem in the prior art that the generation of decisions in the process of virtual operation of coal-fired power plants is often based on a single indicator or parameter to establish or generate a fixed model, lacks the intelligence of diversified and flexible decision-making, and reduces the efficiency of decision-making execution is solved.

[0053] According to another aspect of an embodiment of the present invention, a non-volatile storage medium is provided, which includes a stored program, wherein when the program is run, it controls the device where the non-volatile storage medium is located to execute an intelligent decision-making method for the operation of a coal-fired power plant based on virtual operation.

[0054] Specifically, the above method includes: collecting virtual financial data and virtual business data; splitting the virtual financial data to obtain budget-oriented tags and settlement-oriented tags; fitting the virtual business data with the budget-oriented tags and settlement-oriented tags respectively to obtain an operation resource allocation strategy; comparing the operation resource allocation strategy with a preset strategy threshold to obtain target decision information. Optionally, the virtual financial data includes: budget financial data, settlement financial data, and cash flow financial data; the virtual business data includes: business procurement data, business deployment data, and annual plan data. Optionally, after splitting the virtual financial data to obtain budget-oriented tags and settlement-oriented tags, the method also includes: using a tag wizard formula

[0055] E(n)=α*[log(2,1 / P(n))]

[0056] The budget guidance mark and the settlement guidance mark are numerically processed, wherein E represents the numerical guidance mark, α represents the numerical segmentation factor, P represents the unnumerified guidance mark, and n represents the nth guidance identification element. Optionally, the operation resource allocation strategy is compared with the preset strategy threshold to obtain the target decision information, including: obtaining the preset strategy threshold according to the virtual operation scenario; numerically comparing the operation resource allocation strategy with the preset strategy threshold to obtain a comparison result; when the comparison result is less than, generating the target decision information according to the operation resource allocation strategy and the decision construction model; when the comparison result is greater than, inputting the operation resource allocation strategy into the complementary model to generate a supplementary strategy, and outputting the supplementary strategy as the so-called target decision information.

[0057] According to another aspect of an embodiment of the present invention, an electronic device is provided, comprising a processor and a memory; the memory stores computer-readable instructions, and the processor is used to run the computer-readable instructions, wherein the computer-readable instructions, when running, execute an intelligent decision-making method for the operation of a coal-fired power plant based on virtual operation.

[0058] Specifically, the above method includes: collecting virtual financial data and virtual business data; splitting the virtual financial data to obtain budget-oriented tags and settlement-oriented tags; fitting the virtual business data with the budget-oriented tags and settlement-oriented tags respectively to obtain an operation resource allocation strategy; comparing the operation resource allocation strategy with a preset strategy threshold to obtain target decision information. Optionally, the virtual financial data includes: budget financial data, settlement financial data, and cash flow financial data; the virtual business data includes: business procurement data, business deployment data, and annual plan data. Optionally, after splitting the virtual financial data to obtain budget-oriented tags and settlement-oriented tags, the method also includes: using a tag wizard formula

[0059] E(n)=α*[log(2,1 / P(n))]

[0060] The budget guidance mark and the settlement guidance mark are numerically processed, wherein E represents the numerical guidance mark, α represents the numerical segmentation factor, P represents the unnumerified guidance mark, and n represents the nth guidance identification element. Optionally, the operation resource allocation strategy is compared with the preset strategy threshold to obtain the target decision information, including: obtaining the preset strategy threshold according to the virtual operation scenario; numerically comparing the operation resource allocation strategy with the preset strategy threshold to obtain a comparison result; when the comparison result is less than, generating the target decision information according to the operation resource allocation strategy and the decision construction model; when the comparison result is greater than, inputting the operation resource allocation strategy into the complementary model to generate a supplementary strategy, and outputting the supplementary strategy as the so-called target decision information.

[0061] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0062] In the above embodiments of the present invention, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant descriptions of other embodiments.

[0063] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, 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 through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0064] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0065] in addition, Figure 3 This is a schematic diagram of the hardware structure of a terminal device provided in one embodiment of the present application. Figure 3 As shown, the terminal device may include an input device 30, a processor 31, an output device 32, a memory 33, and at least one communication bus 34. Communication bus 34 is used to implement communication between components. Memory 33 may include high-speed RAM memory or non-volatile storage (NVM), such as at least one disk storage device. Memory 33 may store various programs for performing various processing functions and implementing the method steps of this embodiment.

[0066] Optionally, the processor 31 may be implemented as a central processing unit (CPU), an application-specific integrated circuit (ASIC), a digital signal processor (DSP), a digital signal processing device (DSPD), a programmable logic device (PLD), a field programmable gate array (FPGA), a controller, a microcontroller, a microprocessor or other electronic components, and the processor 31 is coupled to the input device 30 and the output device 32 via a wired or wireless connection.

[0067] Optionally, the input device 30 may include multiple input devices, such as a user interface for the user, a device interface for the device, a software programmable interface, a camera, and a sensor. Optionally, the device interface for the device may be a wired interface for data transmission between devices, or a hardware plug-in interface for data transmission between devices (such as a USB interface, a serial port, etc.); optionally, the user interface for the user may be, for example, a user-oriented control button, a voice input device for receiving voice input, and a touch sensing device for receiving user touch input (such as a touch screen or touchpad with touch sensing function); optionally, the software programmable interface may be, for example, an entry for users to edit or modify programs, such as an input pin interface or input interface of a chip; optionally, the transceiver may be a radio frequency transceiver chip with communication function, a baseband processing chip, and a transceiver antenna, etc. Audio input devices such as microphones may receive voice data. The output device 32 may include output devices such as a display and speakers.

[0068] In this embodiment, the processor of the terminal device includes functions for executing each module of the data processing device in each device. The specific functions and technical effects can be referred to the above embodiments and will not be repeated here.

[0069] Figure 4 A schematic diagram of the hardware structure of a terminal device provided in another embodiment of the present application. Figure 4 Yes Figure 3 A specific embodiment in the implementation process. Figure 4 As shown, the terminal device of this embodiment includes a processor 41 and a memory 42.

[0070] The processor 41 executes the computer program code stored in the memory 42 to implement the method in the above embodiment.

[0071] Memory 42 is configured to store various types of data to support operations on the terminal device. Examples of such data include instructions for any application or method operating on the terminal device, such as messages, images, and videos. Memory 42 may include random access memory (RAM) and may also include non-volatile memory, such as at least one disk drive.

[0072] Optionally, the processor 41 is provided in the processing component 40. The terminal device may further include: a communication component 43, a power component 44, a multimedia component 45, an audio component 46, an input / output interface 47, and / or a sensor component 48. The specific components included in the terminal device are set according to actual needs and are not limited in this embodiment.

[0073] The processing component 40 generally controls the overall operation of the terminal device. The processing component 40 may include one or more processors 41 to execute instructions to complete all or part of the steps of the above-described method. Furthermore, the processing component 40 may include one or more modules to facilitate interaction between the processing component 40 and other components. For example, the processing component 40 may include a multimedia module to facilitate interaction between the multimedia component 45 and the processing component 40.

[0074] The power supply component 44 provides power to various components of the terminal device. The power supply component 44 may include a power management system, one or more power supplies, and other components associated with generating, managing, and distributing power to the terminal device.

[0075] The multimedia component 45 includes a display screen that provides an output interface between the terminal device and the user. In some embodiments, the display screen may include a liquid crystal display (LCD) and a touch panel (TP). If the display screen includes a touch panel, the display screen may be implemented as a touch screen to receive input signals from the user. The touch panel includes one or more touch sensors to sense touch, slide, and gestures on the touch panel. The touch sensor may not only sense the boundaries of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation.

[0076] The audio component 46 is configured to output and / or input audio signals. For example, the audio component 46 includes a microphone (MIC), which is configured to receive external audio signals when the terminal device is in an operating mode, such as a voice recognition mode. The received audio signal can be further stored in the memory 42 or transmitted via the communication component 43. In some embodiments, the audio component 46 also includes a speaker for outputting audio signals.

[0077] The input / output interface 47 provides an interface between the processing component 40 and peripheral interface modules, such as click wheels, buttons, etc. These buttons may include, but are not limited to, volume buttons, start buttons, and lock buttons.

[0078] The sensor assembly 48 includes one or more sensors for providing various status assessments for the terminal device. For example, the sensor assembly 48 can detect the open / closed state of the terminal device, the relative positioning of components, and the presence or absence of user contact with the terminal device. The sensor assembly 48 may include a proximity sensor configured to detect the presence of nearby objects without any physical contact, including detecting the distance between the user and the terminal device. In some embodiments, the sensor assembly 48 may also include a camera, etc.

[0079] The communication component 43 is configured to facilitate wired or wireless communication between the terminal device and other devices. The terminal device can access a wireless network based on a communication standard, such as WiFi, 2G, or 3G, or a combination thereof. In one embodiment, the terminal device may include a SIM card slot for inserting a SIM card, allowing the terminal device to log into a GPRS network and establish communication with a server via the Internet.

[0080] From the above, we can see that Figure 4 The communication component 43, audio component 46, input / output interface 47, and sensor component 48 involved in the embodiment can all be used as Figure 3 Implementation of the input device in the embodiment.

[0081] In the several embodiments provided in this application, it should be understood that the disclosed technical content can be implemented in other ways. Among them, the device embodiments described above are only exemplary. For example, the division of the units can be a logical function division. In actual implementation, there may be other division methods, 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 through some interfaces, indirect coupling or communication connection of units or modules, which can be electrical or other forms.

[0082] The units described as separate components may or may not be physically separate, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed across multiple units. Some or all of the units may be selected according to actual needs to achieve the purpose of the present embodiment.

[0083] In addition, the functional units in the various embodiments of the present invention may be integrated into a single processing unit, each unit may exist physically separately, or two or more units may be integrated into a single unit. The aforementioned integrated units may be implemented in the form of hardware or software functional units.

[0084] 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 invention, 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. The computer software product is stored in a storage medium and includes several instructions for enabling a computer device (which can be a personal computer, server or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: U disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), mobile hard disk, magnetic disk or optical disk, etc. Various media that can store program codes.

[0085] The above is only a preferred embodiment of the present invention. It should be pointed out that for ordinary technicians in this technical field, several improvements and modifications can be made without departing from the principles of the present invention. These improvements and modifications should also be regarded as within the scope of protection of the present invention.

Claims

1. An intelligent decision-making method for coal-fired power plant operation based on virtual operation, characterized in that: include: Collect fictitious financial data and fictitious business data; Splitting the virtual financial data to obtain a budget-oriented mark and a settlement-oriented mark; Fitting the virtual business data to the budget-oriented marker and the settlement-oriented marker respectively to obtain an operation resource allocation strategy; The operation resource allocation strategy is compared with a preset strategy threshold to obtain target decision information.

2. The method according to claim 1, characterized in that The virtual financial data includes: budget financial data, settlement financial data, and cash flow financial data; the virtual business data includes: business procurement data, business deployment data, and annual plan data.

3. The method according to claim 1, characterized in that After splitting the virtual financial data to obtain the budget-oriented mark and the settlement-oriented mark, the method further includes: Using the Mark Wizard formula E(n)=α*[log(2,1 / P(n))] The budget guidance mark and the settlement guidance mark are digitized, wherein E represents the digitized guidance mark, α represents the numerical segmentation factor, P represents the non-digitized guidance mark, and n represents the nth guidance identification element.

4. The method according to claim 1, wherein The comparing the operation resource allocation strategy with a preset strategy threshold to obtain target decision information includes: Obtaining the preset strategy threshold according to the virtual operation scenario; Numerically comparing the operation resource allocation strategy with the preset strategy threshold to obtain a comparison result; When the comparison result is less than, generating target decision information according to the operation resource allocation strategy and decision building model; When the comparison result is greater than, the operation resource allocation strategy is input into the complementary model to generate a complementary strategy, and the complementary strategy is output as the so-called target decision information.

5. An intelligent decision-making device for coal-fired power plant operation based on virtual operation, characterized in that: include: A collection module, used to collect virtual financial data and virtual business data; a splitting module, configured to split the virtual financial data to obtain a budget-oriented mark and a settlement-oriented mark; a fitting module, configured to fit the virtual business data with the budget-oriented marker and the settlement-oriented marker respectively to obtain an operation resource allocation strategy; The comparison module is used to compare the operation resource allocation strategy with a preset strategy threshold to obtain target decision information.

6. The device according to claim 5, characterized in that The virtual financial data includes: budget financial data, settlement financial data, and cash flow financial data; the virtual business data includes: business procurement data, business deployment data, and annual plan data.

7. The device according to claim 5, characterized in that The device further comprises: Numerical module for using label wizard formulas E(n)=α*[log(2,1 / P(n))] The budget guidance mark and the settlement guidance mark are digitized, wherein E represents the digitized guidance mark, α represents the numerical segmentation factor, P represents the non-digitized guidance mark, and n represents the nth guidance identification element.

8. The device according to claim 5, characterized in that The comparison module includes: A threshold unit, configured to obtain the preset strategy threshold according to a virtual operation scenario; a comparing unit, configured to perform a numerical comparison between the operation resource allocation strategy and the preset strategy threshold to obtain a comparison result; A first output unit is configured to generate target decision information according to the operation resource allocation strategy and decision building model when the comparison result is less than; The second output unit is configured to input the operation resource allocation strategy into a complementary model when the comparison result is greater than, generate a complementary strategy, and output the complementary strategy as so-called target decision information.

9. A non-volatile storage medium, characterized in that: The non-volatile storage medium includes a stored program, wherein when the program is executed, the device where the non-volatile storage medium is located is controlled to execute the method according to any one of claims 1 to 4.

10. An electronic device, characterized in that: The method comprises a processor and a memory; the memory stores computer-readable instructions, and the processor is used to execute the computer-readable instructions, wherein the computer-readable instructions execute the method according to any one of claims 1 to 4 when executed.

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