Early warning and analysis method for coal blending combustion economic activity and related device

Abstract

The invention belongs to the technical field of thermal power generation energy management, and discloses a coal blending combustion economic activity early warning and analysis method and a related device. The coal blending combustion economic activity early warning and analysis method comprises the steps of collecting and integrating data information, establishing a coal blending combustion economic activity analysis model, obtaining real-time coal consumption index data in the actual operation process of coal blending combustion, and setting an early warning threshold value of the coal consumption index data. Whether early warning is carried out or not is judged according to the real-time coal consumption index data and an early warning threshold value through the coal blending combustion economic activity analysis model, then index trend data are obtained, the coal blending combustion economic activity analysis model outputs an analysis result according to the index trend data, and then a coal blending combustion economic activity analysis chart of each power plant is generated through the analysis result; according to the invention, the functions of accurate analysis, real-time monitoring and optimization adjustment can be realized in an automatic mode, and the efficiency and economical efficiency of thermal power production are greatly improved.

Description

Technical Field

[0001] The present invention relates to the technical field of thermal power generation energy management, and in particular to an early warning and analysis method for coal blending and combustion economic activities and related devices. Background Art

[0002] In thermal power production, coal blending is an advanced energy management strategy. Its core concept is to maximize energy utilization, reduce production costs and reduce pollutant emissions by scientifically and rationally combining different types of coal.

[0003] However, due to inconsistent data standards, the fuel management systems (such as SAP-ERP), production monitoring systems (such as PI systems), and laboratory information management systems (LIMS) widely used by power plants have formed data silos. This not only makes it difficult to effectively link and integrate coal quality data, combustion efficiency data, and cost data, but also greatly limits the accuracy of the formulation and implementation of coal blending strategies. At the same time, existing data statistics and analysis methods are too dependent on manual operations, and the processes are cumbersome and time-consuming. Traditional manual statistical methods often require 3 to 5 days to complete the preparation of a coal blending analysis report, which obviously cannot meet the urgent needs of coal-fired units for real-time operating condition adjustments. In the rapidly changing thermal power production environment, this lagging data processing and analysis capabilities will undoubtedly become a bottleneck restricting the improvement of production efficiency and economic efficiency.

[0004] Therefore, a coal blending and combustion economic activity analysis system that can monitor and optimize the adjustment in real time is needed to solve the above problems and improve the efficiency and economy of thermal power production. Summary of the Invention

[0005] The purpose of the present invention is to provide an early warning and analysis method and related devices for the economic activities of coal blending and combustion to overcome the problems existing in the prior art. The present invention can effectively associate and integrate various data information, and realize the functions of precise analysis, real-time monitoring and optimization adjustment in an automated manner, thereby greatly improving the efficiency and economy of thermal power production.

[0006] In order to achieve the above object, the technical solution adopted by the present invention is as follows: In a first aspect, the present invention provides a method for early warning and analysis of economic activities of coal blending and combustion, comprising the following steps: Step 1: Establish a unified data collection platform to collect data information from each power plant in real time and integrate the data information; Step 2: Establish a coal blending and combustion economic activity analysis model based on the integrated data information, the actual demand and theoretical knowledge of thermal power production, and the historical data of each power plant; Step 3: Obtain the real-time coal consumption index data during the actual operation of blended coal combustion, and set the warning threshold of the coal consumption index data through the data acquisition platform; Step 4: Determine whether to issue a warning based on the real-time coal consumption index data and the warning threshold through the economic activity analysis model of blended coal combustion; Step 5: Obtain the index trend data, the economic activity analysis model of blended coal combustion outputs the analysis result according to the index trend data, and generates the economic activity analysis chart of blended coal combustion for each power plant through the analysis result; Furthermore, the data information includes: electricity quantity, main suppliers, main coal types for combustion, blended coal types, economic coal types, and the coal quantity, calorific value, and proportion of the main coal types for combustion, blended coal types, and economic coal types; Furthermore, the integration of the data information specifically includes: Establish a data warehouse, extract, clean, and transfer the data information in a pre-set format and then store it in the data warehouse; Furthermore, the establishment of the economic activity analysis model of blended coal combustion according to the integrated data information, the actual demands and theoretical knowledge of thermal power production, and the historical data of each power plant specifically includes: According to the integrated data information, as well as the actual demands and theoretical knowledge of thermal power production, construct a blending ratio calculation model and a cost-benefit analysis model respectively. Select the blended coal combustion data in the historical database of each power plant as historical data, and use the historical data to train and optimize the blending ratio calculation model and the cost-benefit analysis model to establish the economic activity analysis model of blended coal combustion; Furthermore, the obtaining of the real-time coal consumption index data during the actual operation of blended coal combustion specifically includes: During the actual operation of blended coal combustion, the coal consumption index data is collected in real time through automated monitoring equipment, and the collected coal consumption index data is input into the economic activity analysis model of blended coal combustion; Furthermore, the determination of whether to issue a warning through the economic activity analysis model of blended coal combustion based on the real-time coal consumption index data and the warning threshold specifically includes: The economic activity analysis model of blended coal combustion compares the real-time coal consumption index data with the warning threshold. When the real-time coal consumption index data exceeds the warning threshold, a warning is issued; when the real-time coal consumption index data does not exceed the warning threshold, no warning is issued; Furthermore, the obtaining of the index trend data, the economic activity analysis model of blended coal combustion outputs the analysis result according to the index trend data, and generates the economic activity analysis chart of blended coal combustion for each power plant through the analysis result specifically includes: Based on the historical data of each power plant, obtain the index trend data, input the index trend data into the economic activity analysis model of coal blending and firing for analysis and calculation, output the analysis results, and generate the economic activity analysis charts of coal blending and firing for each power plant through the data visualization tool.

[0007] In a second aspect, the present invention provides a warning and analysis system for the economic activity of coal blending and firing, which is characterized by including: A data collection and integration module, which is used to establish a unified data collection platform, collect the data information of each power plant in real time, and integrate the data information; An analysis model construction module, which is used to establish an economic activity analysis model of coal blending and firing according to the integrated data information, the actual requirements and theoretical knowledge of thermal power production, and the historical data of each power plant; A real-time monitoring module, which is used to obtain the real-time coal consumption index data during the actual operation of coal blending and firing, and set the warning threshold of the coal consumption index data through the data collection platform; A warning module, which is used to judge whether to give a warning according to the real-time coal consumption index data and the warning threshold through the economic activity analysis model of coal blending and firing; An analysis chart generation module, which is used to obtain the index trend data, the economic activity analysis model of coal blending and firing outputs the analysis results according to the index trend data, and generates the economic activity analysis charts of coal blending and firing for each power plant through the analysis results.

[0008] In a third aspect, the present invention provides a computer device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the computer program, the steps of the above method are implemented.

[0009] In a fourth aspect, the present invention provides a computer-readable storage medium, which stores a computer program. When the computer program is executed by a processor, the steps of the above method are implemented.

[0010] The above technical solutions have the following advantages or beneficial effects: In a first aspect, the present invention provides a unified data acquisition platform with powerful data acquisition capabilities. It can efficiently obtain multi-dimensional key data information from multiple data sources such as the fuel management information system and production monitoring system of each power plant in real time. By integrating data, it can eliminate differences between different data sources and ensure the integrity and accuracy of data information. By setting warning thresholds, when the actual coal consumption index approaches or exceeds this threshold, the system can automatically trigger a warning to timely remind relevant personnel to take corresponding measures, thereby effectively avoiding potential economic losses and safety risks. Through the analysis chart of the economic activity analysis of coal blending and firing generated by the analysis results, relevant personnel can intuitively understand the operation status of the power plant, providing strong support for optimizing the coal blending plan and improving economic benefits. The present invention can enhance the accuracy of the economic activity analysis of coal blending and firing by automating and abandoning traditional manual analysis, significantly improving the efficiency and economic performance of thermal power production.

[0011] In a second aspect, the present invention provides a warning and analysis system for the economic activity of coal blending and firing, which can collect and integrate data information from each power plant in real time and accurately, avoiding data islands and redundancy, and improving the consistency and availability of data. By constructing an economic activity analysis model for coal blending and firing, the real-time monitoring module and warning module use this model to make intelligent judgments based on real-time coal consumption index data and warning thresholds, and issue warning signals in a timely manner, which helps power plant managers quickly respond and take corresponding measures to avoid potential economic losses and safety hazards. The analysis chart generation module obtains index trend data, conducts in-depth analysis using the economic activity analysis model of coal blending and firing, and generates intuitive analysis charts. The system of the present invention can improve production efficiency and achieve accurate analysis through intelligent technologies.

[0012] In a third aspect, the present invention provides a computer device. By a processor executing a specific computer program, it can efficiently implement the steps of the method of the present invention. When the computer device performs data processing tasks, it can accurately perform numerical calculations and logical judgments, avoiding errors caused by human factors. At the same time, due to the high stability and reliability of the computer program, the accuracy and consistency of the data processing results can be ensured.

[0013] In a fourth aspect, the present invention provides a computer-readable storage medium. By programming the steps of the method of the present invention into a computer program and storing it on the computer-readable storage medium, users can easily load these programs onto any compatible computer device and execute them without having to rewrite or convert the code, greatly improving the convenience and flexibility of program execution. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] Figure 1 It is a schematic flow chart of a warning and analysis method for the economic activity of coal blending and firing according to the present invention; Figure 2 This is the architecture diagram of the early warning and analysis system for the economic activity of coal blending and co-firing in the present invention; Figure 3 This is the structural schematic diagram of the computer device of the present invention. Detailed implementation manners

[0015] The present invention will be further described in detail below in conjunction with specific embodiments, which are explanations of the present invention rather than limitations. In order to enable those skilled in the art of the present technology to better understand the present invention solution, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention. It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and do not have to be used to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described here can be implemented in an order other than those illustrated or described here. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0016] Embodiment: The present invention is applicable to the fuel optimization management of regional-level thermal power group companies.

[0017] Refer to Figure 1 , the present invention provides a method for early warning and analysis of the economic activity of coal blending and co-firing, including the following steps: Step 1: Establish a unified data acquisition platform to collect the data information of each power plant in real time. The unified data acquisition platform has strong data acquisition capabilities and can efficiently obtain multi-dimensional key data information from multiple data sources such as the fuel management information system and production monitoring system of each power plant in real time. Then, a data warehouse is established, and the data information is extracted, cleaned, and transferred in accordance with a pre-set format and then stored in the data warehouse, which can eliminate the differences between different data sources and ensure the integrity and accuracy of the data information; Specifically, the data information includes but is not limited to: power consumption, main suppliers, main coal types for combustion, blended coal types, economic coal types, and the coal quantity, calorific value, and proportion of the main coal type for combustion, blended coal types, and economic coal types; Step 2: Construct a blended coal ratio calculation model and a cost-benefit analysis model respectively based on the integrated data information, the actual requirements of thermal power production, and theoretical knowledge. Select the coal blending data in the historical databases of each power plant as historical data, and use the historical data to train and optimize the blended coal ratio calculation model and the cost-benefit analysis model to obtain the internal relationships between coal quality, combustion efficiency, and cost. Adjust the parameters of the models to minimize the error between the prediction results of the models and the actual production situation, and establish an analysis model for the economic activities of coal blending; Preferably, the blended coal ratio calculation model can calculate the optimal blended coal ratio based on different coal quality parameters (such as calorific value, volatile matter, ash content, and the load characteristics of the power plant's generator sets), power generation requirements, and other factors; Preferably, the cost-benefit analysis model can comprehensively consider factors such as coal procurement cost, transportation cost, power generation revenue, and pollutant emission reduction cost to evaluate the economy of different coal blending schemes; Step 3: During the actual operation of coal blending, use automated monitoring equipment to collect coal consumption index data in real time. Input the collected coal consumption index data into the analysis model for the economic activities of coal blending, and then set the warning threshold for the coal consumption index data through the data acquisition platform; Preferably, the automated monitoring equipment can be pressure sensors and oxygen sensors installed in the combustion chamber of the boiler. The analysis model for the economic activities of coal blending calculates the actual coal consumption based on the data from these sensors and compares it with the planned coal consumption; Step 4: Compare the real-time coal consumption index data with the warning threshold through the analysis model for the economic activities of coal blending. When the real-time coal consumption index data exceeds the warning threshold, give a warning; when the real-time coal consumption index data does not exceed the warning threshold, do not give a warning; Step 5: Obtain the index trend data based on the historical data of each power plant, input the index trend data into the analysis model for the economic activities of coal blending for analysis and calculation, output the analysis results, and generate the analysis charts for the economic activities of coal blending of each power plant through a data visualization tool; Preferably, the data visualization tool can be Tableau, PowerBI, or other applicable data visualization tools; Preferably, the types of the analysis charts for the economic activities of coal blending are rich, including bar charts showing the blending ratios of different coal types, line charts reflecting the changing trend of combustion efficiency over time, pie charts showing the proportion of the usage of each coal type, etc.; Preferably, after generating the economic activity analysis charts for coal blending in each power plant, a software module with subsequent development cost optimization functions provides convenient decision-making support tools for operators, such as cost optimization models, production plan simulation tools, etc. Operators can input parameters such as the current coal market price and power demand forecast, and the software automatically calculates the optimal production plan and cost control strategy according to the preset model. Operators can use these tools to formulate reasonable production plans and cost control strategies based on actual production requirements and market conditions.

[0018] In an embodiment of the present invention, a method for early warning and analysis of economic activities of coal blending is provided, including the following steps: Step 1: Select multiple representative power plants in the thermal power region as pilots, install unified data acquisition devices for each power plant to ensure accurate collection of data related to electricity quantity, coal types, etc., and then establish a data warehouse. Uniformly convert the date format in the fuel management information system to "YYYY - MM - DD", and uniformly convert the unit of temperature data in the production monitoring system to degrees Celsius. Preferably, install a high-precision electronic belt scale on the belt conveyor of a certain power plant to collect coal quantity data, and install a calorific value analyzer on the top of the coal bunker to collect the calorific value data of coal, and collect data such as the coal quantity, calorific value on the same day and their proportions in the total coal consumption of the power plant on the same day in real time. Step 2: Organize professional data analysts and power generation experts to construct a blending ratio calculation model and a cost-benefit analysis model respectively according to the integrated data information, as well as the actual requirements and theoretical knowledge of thermal power production. Select the coal blending data in the historical database of each power plant as historical data. Through the analysis of historical data, it is found that within a certain calorific value range, a specific blending ratio of certain coal types can increase the combustion efficiency by 5% while reducing the cost by 3%. Then, train and optimize the blending ratio calculation model and the cost-benefit analysis model with historical data. In the initially constructed blending ratio calculation model, the error between the predicted combustion efficiency of a certain coal blending plan and the actual measured value is 15%. After multiple trainings and parameter adjustments with historical data, the error is reduced to within 5%, and an economic activity analysis model for coal blending is established. Step 3: During the actual operation of coal blending, collect indicators such as the difference between the coal consumption and the actual coal consumption, and the impact of the actual consumption of blended coal types on the overall combustion stability through automated monitoring devices. Input the collected indicator data into the economic activity analysis model for coal blending, and then set the deviation between the actual coal consumption and the planned coal consumption to 10% through the data acquisition platform. Step 4: Compare the actual coal consumption with the planned coal consumption through the economic activity analysis model of blended coal combustion. When the deviation between the actual coal consumption and the planned coal consumption exceeds 10%, the warning system pops up a red warning box on the monitoring system interface, and at the same time sends a text message or an email to notify the relevant operators, reminding them to make adjustments; Step 5: Obtain the index trend data according to the historical data of each power plant, input the index trend data into the economic activity analysis model of blended coal combustion for analysis and calculation, and output the analysis results. Generate a line chart showing the daily blending ratio changes of different coal types in a certain power plant within a month through Tableau or PowerBI. On the chart, the fluctuations of the blending ratio on different dates and its correlation with the power generation efficiency can be intuitively seen. When the coal market price rises, use the cost optimization model to adjust the coal blending plan, reduce the purchase volume of high-price coal, and at the same time ensure the power generation efficiency and stability; when the coal price of a certain supplier suddenly drops, the decision support tool can quickly give a plan to increase the coal purchase volume of this supplier and adjust the coal blending ratio.

[0019] See Figure 2 , in an embodiment of the present invention, there is also provided a warning and analysis system for the economic activities of blended coal combustion, including: A data collection and integration module, which is used to establish a unified data collection platform, collect the data information of each power plant in real time, and integrate the data information; An analysis model construction module, which is used to establish an economic activity analysis model of blended coal combustion according to the integrated data information, the actual needs and theoretical knowledge of thermal power production, and the historical data of each power plant; A real-time monitoring module, which is used to obtain the real-time coal consumption index data during the actual operation of blended coal combustion, and set the warning threshold of the coal consumption index data through the data collection platform; A warning module, which is used to judge whether to give a warning through the economic activity analysis model of blended coal combustion according to the real-time coal consumption index data and the warning threshold; An analysis chart generation module, which is used to obtain the index trend data, and the economic activity analysis model of blended coal combustion outputs the analysis results according to the index trend data, and generates an analysis chart of the economic activities of blended coal combustion for each power plant through the analysis results.

[0020] See Figure 3, in an embodiment of the present invention, a computer device is provided. The computer device includes a processor and a memory. The memory is used to store a computer program, and the computer program includes program instructions. The processor is used to execute the program instructions stored in the computer storage medium. The processor may be a Central Processing Unit (CPU), or may also be other general-purpose processors, Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field-Programmable Gate Arrays (FPGAs), or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. It is the computing core and control core of the terminal, and is suitable for implementing one or more instructions. Specifically, it is suitable for loading and executing one or more instructions in the computer storage medium to implement the corresponding method flow or corresponding function. The processor described in the embodiment of the present invention can be used for the operation of a warning and analysis method for a coal blending and co-firing economic activity.

[0021] In an embodiment of the present invention, a computer-readable storage medium is provided, specifically a computer-readable storage medium (Memory). The computer-readable storage medium is a memory device in the computer device and is used to store programs and data. It can be understood that the computer-readable storage medium here can include both the built-in storage medium in the computer device and, of course, the extended storage medium supported by the computer device. The computer-readable storage medium provides a storage space, and the operating system of the terminal is stored in this storage space. Moreover, one or more instructions suitable for being loaded and executed by the processor are stored in this storage space. These instructions can be one or more computer programs (including program codes). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. One or more instructions stored in the computer-readable storage medium can be loaded and executed by the processor to implement the corresponding steps of a warning and analysis method for a coal blending and co-firing economic activity in the embodiment.

[0022] Through data information collection and integration, the present invention establishes an economic activity analysis model for coal blending combustion, obtains real-time coal consumption index data during the actual operation of coal blending combustion, sets an early warning threshold for the coal consumption index data, determines whether to give an early warning according to the real-time coal consumption index data and the early warning threshold through the economic activity analysis model for coal blending combustion, then obtains index trend data, the economic activity analysis model for coal blending combustion outputs an analysis result according to the index trend data, and then generates an economic activity analysis chart for coal blending combustion of each power plant through the analysis result; the present invention can realize the functions of accurate analysis, real-time monitoring and optimization adjustment in an automated manner, greatly improving the efficiency and economy of thermal power production.

[0023] Those skilled in the art should understand that the embodiments of the present invention can be provided as a method, a system, or a computer program product. Therefore, the present invention can be implemented in the form of a complete hardware embodiment, a complete software embodiment, or an embodiment combining software and hardware aspects; moreover, the present invention can be implemented in the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0024] The present invention is described with reference to the flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to the embodiments of the present invention. It should be understood that each process and / or block in the flowchart and / or block diagram, as well as the combination of processes and / or blocks in the flowchart and / or block diagram, can be implemented by computer program instructions. These computer program instructions can be provided to the processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing devices to generate a machine, so that the instructions executed by the processor of the computer or other programmable data processing devices generate means for implementing the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0025] These computer program instructions can also be stored in a computer-readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer-readable memory generate a manufactured article including instruction means, and the instruction means implements the functions specified in Figure 1 one process or multiple processes and / or blocks Figure 1 one block or multiple blocks.

[0026] These computer program instructions can also be loaded onto a computer or other programmable data processing device, so that a series of operation steps are executed on the computer or other programmable device to generate a computer-implemented process, and thus the instructions executed on the computer or other programmable device provide means for implementing the functions specified in Figure 1Steps of the functions specified in one or more processes and / or boxes Figure 1 Steps of the functions specified in one box or more boxes.

[0027] The present invention establishes a Lamb wave mixing excitation model based on microcrack simulation through the mechanism of crack physical characteristics, which can effectively simulate the damage of the target structure, improve the accuracy and sensitivity of microcrack monitoring, and further monitor and evaluate the microcracks under early damage.

[0028] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements on some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the scope of the technical solutions of the embodiments of the present invention.

Claims

1. An early warning and analysis method for the economic activity of blended coal combustion, characterized in that, It includes the following steps: Establish a unified data acquisition platform to collect data information of each power plant in real time and integrate the data information; Establish an economic activity analysis model for coal blending and firing based on the integrated data information, the actual requirements and theoretical knowledge of thermal power production, and the historical data of each power plant; Obtain the real-time coal consumption index data during the actual operation of coal blending and firing, and set the warning threshold of the coal consumption index data through the data acquisition platform; Judge whether to give an alarm through the economic activity analysis model for coal blending and firing according to the real-time coal consumption index data and the warning threshold; Obtain the index trend data, the economic activity analysis model for coal blending and firing outputs the analysis result according to the index trend data, and generates the economic activity analysis chart of coal blending and firing for each power plant through the analysis result; 2. The early warning and analysis method for a coal blending and co-firing economic activity according to claim 1, wherein The data information includes: electricity quantity, main suppliers, main coal types for firing, blended coal types, economic coal types, and the coal quantity, calorific value, and proportion of the main coal types for firing, blended coal types, and economic coal types; 3. The early warning and analysis method for a coal blending and co-firing economic activity according to claim 1, characterized in that, The integration of the data information specifically includes: Establish a data warehouse, extract, clean, and transfer the data information in a preset format and store it in the data warehouse; 4. The early warning and analysis method for a coal blending and co-firing economic activity according to claim 1, wherein The establishment of the economic activity analysis model for coal blending and firing according to the integrated data information, the actual requirements and theoretical knowledge of thermal power production, and the historical data of each power plant specifically includes: Construct a blended coal ratio calculation model and a cost-benefit analysis model respectively according to the integrated data information, the actual requirements and theoretical knowledge of thermal power production, select the coal blending and firing data in the historical database of each power plant as historical data, and use the historical data to train and optimize the blended coal ratio calculation model and the cost-benefit analysis model to establish an economic activity analysis model for coal blending and firing; 5. The early warning and analysis method of a coal blending and co-firing economic activity according to claim 1, characterized in that, The obtaining of the real-time coal consumption index data during the actual operation of coal blending and firing specifically includes: During the actual operation of coal blending and firing, use automated monitoring equipment to collect coal consumption index data in real time, and input the collected coal consumption index data into the economic activity analysis model for coal blending and firing; 6. The early warning and analysis method for a coal blending and co-firing economic activity according to claim 1, characterized in that The judgment of whether to give an alarm through the economic activity analysis model for coal blending and firing according to the real-time coal consumption index data and the warning threshold specifically includes: Compare the real-time coal consumption index data with the warning threshold through the economic activity analysis model for coal blending and firing. When the real-time coal consumption index data exceeds the warning threshold, give an alarm; when the real-time coal consumption index data does not exceed the warning threshold, do not give an alarm; 7. The early warning and analysis method for a coal blending and co-firing economic activity according to claim 1, wherein The obtaining of the index trend data, the economic activity analysis model for coal blending and firing outputs the analysis result according to the index trend data, and generates the economic activity analysis chart of coal blending and firing for each power plant through the analysis result specifically includes: Obtain the index trend data according to the historical data of each power plant, input the index trend data into the economic activity analysis model for coal blending and firing for analysis and calculation, output the analysis result, and generate the economic activity analysis chart of coal blending and firing for each power plant through a data visualization tool; 8. An early warning and analysis system for the economic activity of blended coal combustion, characterized in that, It includes: A data acquisition and integration module for establishing a unified data acquisition platform to collect data information of each power plant in real time and integrate the data information; An analysis model construction module, configured to establish an economic activity analysis model for coal blending and firing according to the integrated data information, the actual demands of thermal power production, theoretical knowledge, and the historical data of each power plant; A real-time monitoring module, configured to obtain real-time coal consumption index data during the actual operation of coal blending and firing, and set an early warning threshold for the coal consumption index data through a data acquisition platform; An early warning module, configured to determine whether to give an early warning according to the real-time coal consumption index data and the early warning threshold through the economic activity analysis model for coal blending and firing; An analysis chart generation module, configured to obtain index trend data, the economic activity analysis model for coal blending and firing outputs analysis results according to the index trend data, and generates economic activity analysis charts for coal blending and firing of each power plant through the analysis results.

9. A computer device, comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the computer program, the steps of the method according to any one of claims 1-7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that, When the computer program is executed by the processor, the steps of the method according to any one of claims 1-7 are implemented.

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