Thermal power enterprise factory furnace heat value difference analysis method and related device

Abstract

The invention discloses a thermal power enterprise factory furnace heat value difference analysis method and a related device. Belongs to the technical field of thermal power generation. The method comprises the following steps: establishing a data acquisition interface of a thermal power plant fuel system, and acquiring metering data, plan contract data, test original data, in-plant heat value data and in-furnace heat value data of a thermal power plant; inputting the measurement data, the plan contract data, the test original data, the in-plant calorific value data and the in-furnace calorific value data of the thermal power plant into a pre-established plant-furnace calorific value difference calculation model to obtain different types of calorific value difference calculation results; and displaying and analyzing different types of heat value difference calculation results by utilizing a visual interface. According to the invention, a complete data acquisition interface of the thermal power plant fuel system is established, the data format and the measurement unit are unified, and the acquired data are real, complete and standard; a plant furnace heat value difference calculation model is constructed, and plant furnace heat value difference data are accurately calculated through multiple methods such as quantitative calculation and qualitative analysis.

Description

Technical Field

[0001] The invention belongs to the technical field of thermal power generation, and relates to a method for analyzing calorific value differences of a thermal power plant furnace and a related device. Background Art

[0002] In the operation of thermal power plants, coal, as the primary fuel, represents the largest cost expenditure. The calorific value of coal at procurement and its final calorific value when entering the furnace for power generation are two key indicators. The difference between the two is known as the plant-to-furnace calorific value difference. A larger plant-to-furnace calorific value difference indicates greater coal loss and lower power generation efficiency. Minimizing the plant-to-furnace calorific value difference is a goal of power plants. However, due to fluctuations in coal market prices and unstable coal quality, the plant-to-furnace calorific value difference fluctuates accordingly, leading to complex and variable operating conditions for generator sets. This makes plant-to-furnace calorific value difference comparisons complex and meaningless, negating their original purpose.

[0003] Existing methods for calculating plant-to-fired calorific value simply calculate and compare the difference in calorific value between incoming and outgoing coal, without delving into the complex interplay of multiple factors. For example, they lack effective quantitative analysis and qualitative assessment of the impact of errors in coal mining and processing, coal storage losses, and the effects of coal blending and combustion on the calorific value difference. This lack of systematicity and scientificity stems from the fragmented nature of data from thermal power plant fuel management, production, and testing, with inconsistent formats and standards. This incomplete data collection and inconsistent collection standards make it difficult to share and collaboratively analyze data, hindering a comprehensive and accurate understanding of the dynamics of the plant-to-fired calorific value difference. Summary of the Invention

[0004] The purpose of the present invention is to provide a method and related device for analyzing the calorific value difference of a thermal power plant furnace, so as to solve the technical problem of low accuracy of the existing method for calculating the calorific value of a thermal power plant furnace.

[0005] In order to achieve the above object, the present invention adopts the following technical solutions:

[0006] In a first aspect, the present invention provides a method for analyzing the calorific value difference of a thermal power plant furnace, comprising the following steps:

[0007] Establish a data acquisition interface for the thermal power plant fuel system to collect the thermal power plant's metering data, plan contract data, raw laboratory data, incoming calorific value data, and incoming furnace calorific value data;

[0008] Inputting the metering data, planned contract data, raw laboratory data, incoming calorific value data, and incoming furnace calorific value data of the thermal power plant into a pre-established plant-furnace calorific value difference calculation model to obtain different types of calorific value difference calculation results;

[0009] Use a visual interface to display and analyze different types of calorific value difference calculation results.

[0010] Furthermore, the collection of the measurement data includes the following steps:

[0011] The measurement data are divided into truck, train and ship transportation according to the mode of coal transportation; the measurement data include the amount of coal shipped, net weight, acceptance quantity, amount of waste deducted, amount of water deducted, measurement time, time of coal shipment, supplier, mine type and coal type;

[0012] For cars and trains, each vehicle is weighed first by gross weight, and then weighed by tare weight after unloading to generate measurement data;

[0013] Shipping generates measurement data based on the water gauge after each ship completes coal unloading;

[0014] Clean and pre-process the collected metering data, provide reminders for missing data or supplement it with historical values; standardize the number of decimal places for metering data to two;

[0015] The collection of the planned contract data includes the following steps:

[0016] Obtaining planned contract data based on the coal procurement plan formulated by the power plant and the supply contract signed with the coal supplier after the plan is issued; the coal procurement plan formulated by the power plant includes a monthly transportation plan and a daily transportation plan;

[0017] The collection of the raw data of the assay comprises the following steps:

[0018] After coal enters the thermal power plant, the chemical index of coal is measured; during the measurement process, the data generated by the testing instrument is encrypted;

[0019] When collecting data, decryption and comparison are performed. If the comparison is the same, the data is collected; if the decrypted data is different from the data generated by the original instrument, the data is discarded.

[0020] The number of decimal places for test data is set uniformly, with calorific value retained to 3 decimal places in kcal / kg, moisture retained to 1 decimal place, and other indicators uniformly retained to 2 decimal places. Rounding rules are based on the banker's algorithm.

[0021] Furthermore, the collection of the incoming calorific value data includes the following steps:

[0022] The power plant generates an incoming metering batch after the coal is metered into the plant;

[0023] Carry out sampling, sample preparation and testing of incoming coal according to incoming batches, and finally obtain the test results of incoming batches;

[0024] The test results include received basis lower heat, received basis sulfur, received basis ash and received basis volatile matter;

[0025] The collection of the furnace calorific value data includes the following steps:

[0026] Sampling, sample preparation and testing of coal are carried out when the coal is added to the furnace. After the testing is completed, the testing results of the added coal are obtained; the testing results include received basis low heat content, received basis sulfur content, received basis ash content and received basis volatile matter.

[0027] Furthermore, the construction of the plant furnace calorific value difference calculation model includes the following steps:

[0028] A plant-furnace calorific value difference calculation model is constructed based on the principle of energy conservation; the plant-furnace calorific value difference calculation model includes sub-models: a current plant-entry calorific value calculation model, a current furnace-entry calorific value calculation model, a structural calorific value difference calculation model, a furnace-entry coal calorific value measurement model, a theoretical inventory calorific value calculation model, a total moisture difference impact calorific value difference analysis model, and an inventory count analysis model;

[0029] Use historical data to verify the constructed plant furnace calorific value difference calculation model; compare the model calculation results with the actual plant furnace calorific value difference data to calculate the error rate; based on the verification results and actual application feedback, continuously optimize the model parameters and algorithms.

[0030] Furthermore, the expression of the current factory calorific value calculation model is:

[0031]

[0032] The acceptance quantity of the incoming batch is the acceptance quantity of the current incoming coal batch; the calorific value of the incoming batch is the calorific value in the test results of the current incoming coal batch;

[0033] The expression of the current furnace calorific value calculation model is:

[0034]

[0035] The amount of coal added to the furnace is the amount of coal added to the furnace during the current period; the calorific value of the coal added to the furnace is the calorific value in the test results of the coal added to the furnace during the current period;

[0036] The expression of the structural calorific value difference calculation model is:

[0037]

[0038] Among them, the current calorific value entering the factory is the weighted average of the calorific values of the coal entering the factory that month; the beginning inventory is the coal inventory at the beginning of the month; the beginning inventory calorific value is the calorific value of the coal yard inventory that month; the current coal entering the factory is the total acceptance quantity of the batches of coal entering the factory that month; the current calorific value entering the factory is the weighted average of the low calorific value of the batch of coal entering the factory that month and the batch acceptance quantity; the ending inventory is the coal inventory in the coal yard at the end of the month; the ending inventory calorific value is the calorific value of the coal yard inventory at the end of the month.

[0039] Furthermore, the expression of the calorific value calculation model of the coal entering the furnace is:

[0040]

[0041] Among them, the current incoming calorific value is the weighted average of the received low calorific value of the coal batches entering the factory that month and the batch acceptance quantity; the current incoming coal quantity is the total acceptance quantity of the coal batches entering the factory that month; the opening inventory calorific value is the inventory calorific value of the coal yard that month; the opening inventory quantity is the inventory quantity at the beginning of the month; the closing inventory calorific value is the inventory calorific value of the coal yard at the end of the month; the closing inventory quantity is the inventory quantity of the coal yard at the end of the month; the current coal consumption quantity is the total amount of coal added to the furnace that month;

[0042] The expression of the theoretical inventory calorific value calculation model is:

[0043]

[0044] Among them, the current incoming calorific value is the weighted average of the received low calorific value of the coal batches entering the factory that month and the batch acceptance quantity; the current incoming coal quantity is the total acceptance quantity of the coal batches entering the factory that month; the opening inventory calorific value is the calorific value of the coal inventory in the coal yard that month; the opening inventory quantity is the coal inventory at the beginning of the month; the current furnace coal quantity is the total amount of coal added to the furnace that month; the ending inventory quantity is the coal inventory in the coal yard at the end of the month;

[0045] The calorific value difference analysis model of the influence of total moisture difference is used to calculate the converted furnace calorific value using a formula, and calculate the calorific value difference of the coal entering the factory and the coal entering the furnace after conversion, and analyze the influence of total moisture change on the calorific value difference;

[0046] The inventory count analysis model analyzes the impact of inventory count calorific value on structural calorific value differences.

[0047] Furthermore, the step of displaying and analyzing different types of calorific value difference calculation results using a visual interface specifically includes:

[0048] Use a visual interface to display the results of the plant furnace calorific value difference analysis in the form of charts; use a bar chart to compare the calorific value differences of different power plants or suppliers, a line chart to show the time trend of the calorific value difference, and a pie chart to analyze the impact of various factors on the calorific value difference.

[0049] In a second aspect, the present invention provides a thermal power plant furnace calorific value difference analysis system, comprising:

[0050] The data acquisition module is used to establish a data acquisition interface for the fuel system of a thermal power plant, and collect the power plant's metering data, plan contract data, raw laboratory data, incoming calorific value data, and incoming calorific value data;

[0051] The calorific value difference calculation module is used to input the metering data, plan contract data, laboratory raw data, incoming calorific value data and incoming furnace calorific value data of the thermal power plant into a pre-established plant-furnace calorific value difference calculation model to obtain different types of calorific value difference calculation results;

[0052] The visualization module is used to display and analyze different types of calorific value difference calculation results using a visual interface.

[0053] In a third aspect, the present invention provides a computer device comprising 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 method for analyzing the calorific value differences of a thermal power plant furnace are implemented.

[0054] In a fourth aspect, the present invention provides a computer-readable storage medium storing a computer program, which, when executed by a processor, implements the steps of a method for analyzing the calorific value differences of a thermal power plant furnace.

[0055] Compared with the prior art, the present invention has the following beneficial effects:

[0056] The present invention discloses a method and related device for analyzing the calorific value difference of thermal power plants. Based on data collected from measurement, testing, planning, and contracts, the method cleans, supplements, and revises data to ensure data authenticity, integrity, and standardization, while also achieving real-time, scalability, and maintainability. Simultaneously, various models for the calorific value difference of various types of plants are calculated, ultimately obtaining the calorific value difference of plants under different types of conditions. The present invention collects data in real time, ensuring complete standardization and security against tampering. From coal metering at the power plant's incoming coal, adding coal to the furnace, to the generation of final test data, a complete data flow process is established, ensuring traceability of data sources, tamper-proofing of test data, and accurate and reliable data comparison results. Multi-model calculations also enhance analytical accuracy. The method comprehensively considers various factors influencing the calorific value difference of plants and furnaces, and through scientific model construction and calculation methods, more accurately analyzes the causes of the calorific value difference. Visual display enables enterprises to clearly understand the status and changing trends of the calorific value difference of plants and furnaces, facilitating timely identification of problems and the implementation of targeted measures. Furthermore, based on the analysis model and threshold settings, abnormal changes in the calorific value difference of plants and furnaces can be promptly detected and early warning signals issued. This enables enterprises to take measures in advance to deal with potential risks, such as adjusting fuel formulas, inspecting production and processing equipment, or optimizing inventory management, to avoid the impact of large calorific value differences on unit operating efficiency and power generation costs, and improve the stability and reliability of enterprise production. BRIEF DESCRIPTION OF THE DRAWINGS

[0057] In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the following briefly introduces the drawings required for use in the embodiments. It should be understood that the following drawings only illustrate certain embodiments of the present invention and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other relevant drawings can be obtained based on these drawings without paying any creative work.

[0058] Figure 1 is a flow chart of the method of the present invention;

[0059] Figure 2 is a schematic diagram of the system of the present invention;

[0060] Figure 3 This is a data collection relationship diagram for an embodiment of the present invention;

[0061] Figure 4 It is a schematic diagram of the computer device structure of the present invention. DETAILED DESCRIPTION

[0062] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments. It should be noted that, unless there is a conflict, the embodiments and features in the embodiments of the present application can be combined with each other.

[0063] The following detailed description is an exemplary description, which is intended to provide further detailed description of the present invention. Unless otherwise indicated, all technical terms used in the present invention have the same meaning as those generally understood by those skilled in the art. The terms used in the present invention are only for describing specific embodiments, and are not intended to limit the exemplary embodiments according to the present invention.

[0064] See also Figure 1 The embodiment of the present invention discloses a method for analyzing the calorific value difference of a thermal power plant furnace, comprising the following steps:

[0065] S1, establish the data acquisition interface of the thermal power plant fuel system, collect the thermal power plant's metering data, plan contract data, test raw data, factory calorific value data and furnace calorific value data, such as Figure 3 As shown;

[0066] 1) Metering data collection. Metering data refers to the data generated after a series of work processes such as weighing, batching, and stacking when coal purchased by a thermal power plant enters the power plant. Metering data is the basis of fuel management in power plants. Depending on the business of the power plant, metering data collection is divided into automobile, train, ship, etc. according to the mode of coal transportation. The collection program formulates different data collection methods according to different transportation methods. Automobile and train weigh the gross weight of each vehicle first, and then weigh the tare weight after unloading to generate metering data; shipping generates metering data according to the water level after each ship unloads coal. At the same time, the collected data is cleaned and pre-processed, and missing data is supplemented or supplemented through historical values to ensure data integrity, and the number of decimal places of metering data is unified to two. Metering data includes mine delivery volume, net weight, acceptance volume, waste deduction volume, water deduction volume, metering time, mine delivery time, supplier, mine type, coal type and other information.

[0067] 2) Collecting plan and contract data. The plan is the coal procurement plan developed by the power plant, including monthly and daily transportation plans. When specifying the plan, the coal price index should be referenced, allowing for flexible adjustments to the planned quantity. The planned quantity forms the basis for developing a sampling plan for incoming coal. The contract is the supply agreement signed between the power plant and the coal supplier after the plan is issued, specifying the supply quantity and price. Plan and contract data form the basis for the final comparison of the planned quantity and planned calorific value with the incoming quantity and calorific value.

[0068] 3) Collection of raw test data. After coal enters the thermal power plant, it needs to be tested for chemical indicators such as calorific value, sulfur content, and moisture. These chemical indicators are detected by different test equipment, and these test results need to be collected and summarized into data related to the coal entering the plant. The collection of raw test data uses direct reading of the test equipment data without forwarding it through other systems. At the same time, to ensure that the test data is not tampered with, the test instrument is used to encrypt the data when generating it, and decrypt and compare it when collecting the data. If the test data is manually modified, the comparison between the decrypted data and the original data will fail, and this data will not be collected. As shown below:

[0069]

[0070] After generating data, the testing device concatenates Field 1 and Field 2 into a string 1.24.3, then encrypts it to produce the encrypted field value =Akeidk9eke*. During data collection, the encrypted field value is first decrypted and then compared with Field 1 and Field 2. If the comparison is identical, the data is collected; otherwise, the data is not collected and the user is notified that the data has been tampered with. Encryption and decryption use the same encryption and decryption methods, and the key is agreed upon and stored confidentially.

[0071] The number of decimal places for test data shall be uniformly set, with calorific value retained to 3 decimal places (unit: (kcal / kg), moisture retained to 1 decimal place, and other indicators uniformly retained to 2 decimal places. Rounding rules shall be based on the banker's algorithm (rounding to the nearest even number).

[0072] 4) Incoming calorific value data collection. After coal is metered into the power plant, a metered batch is generated. The power plant then samples, prepares, and tests the incoming coal based on the batch, ultimately obtaining the batch test results. These test results include: received lower calorific value (MJ / kg) Qnetar, received sulfur content (Star%), received ash content (Aar%), received volatile content (Var%), etc.

[0073] 5) Collecting data on incoming calorific value. Every day, based on the operating conditions of the units, power plants convey coal stored in the coal yard via belt conveyors to the units for combustion. This is called "incoming coal." Incoming coal is carried out according to the units and shifts. For example, a unit may conduct incoming coal during the night, day, and mid-shifts. Coal sampling, sample preparation, and testing are also required during incoming coal. Once the testing is complete, the incoming coal test results are obtained. These test results include: received basis lower calorific value (Mj / kg) qnetar, received basis sulfur content (Star%), received basis ash content (Aar%), received basis volatile content (Var%), etc.

[0074] S2, inputting the metering data, planned contract data, raw laboratory data, incoming calorific value data, and incoming furnace calorific value data of the thermal power plant into a pre-established plant-furnace calorific value difference calculation model to obtain different types of calorific value difference calculation results;

[0075] S201 accurately calculates the calorific value difference data of the factory furnace through various methods such as quantitative calculation and qualitative analysis. A calorific value difference index calculation model is constructed based on the principle of energy conservation. The analysis of the calorific value difference of the factory furnace follows the principle of quantitative analysis first and qualitative analysis second. The present invention uses mathematical analysis to construct a calorific value difference index model. It includes the following sub-models:

[0076] 1) Current incoming calorific value: Because power plants generate multiple incoming coal batches based on different suppliers during the same time period, each batch has its own test results. The current incoming calorific value is the weighted average of the coal quantity and calorific value of all batches during the same time period. The formula is as follows:

[0077]

[0078] Acceptance quantity of coal batches entering the factory: the acceptance quantity of coal batches entering the factory during the current period.

[0079] Calorific value of incoming batch: the calorific value in the test results of the coal batch incoming to the factory during the current period.

[0080] 2) Current Furnace Calorific Value: Since each unit in a power plant has multiple coal additions during the same time period, each addition has its own test results. Therefore, the furnace calorific value is the weighted average of the coal quantity and calorific value of all coal additions for all units during the same time period. The formula is as follows:

[0081]

[0082] The amount of coal added to the furnace: the amount of coal added to the furnace during the current period.

[0083] Calorific value of added materials entering the furnace: the calorific value in the test results of the current added materials entering the furnace.

[0084] 3) Structural calorific value difference calculation model: Since the coal added to the furnace comes from the coal yard, the coal quality of the coal yard can be used instead of the value of the coal added to the furnace. The coal quality of the current period is calculated by adding the coal quality of the coal yard at the beginning of the period to the coal quality of the current period and then subtracting the coal yard quality at the end of the period. The formula is as follows:

[0085]

[0086] Current factory calorific value: the weighted average of the calorific value of coal entering the factory in the current month.

[0087] Beginning inventory: The amount of coal in stock at the beginning of the month.

[0088] Beginning inventory calorific value: calorific value of coal yard inventory for the month.

[0089] Current coal quantity entering the factory: the total quantity of coal batches accepted during the month.

[0090] Current incoming calorific value: the weighted average of the low calorific value of coal batches entering the factory this month and the batch acceptance quantity.

[0091] Ending inventory: The amount of coal in stock at the coal yard at the end of the month.

[0092] End-of-period inventory calorific value: the calorific value of the coal yard inventory at the end of the month.

[0093] 4) Calculation model for the calorific value of coal entering the furnace: The calorific value of the coal entering the furnace over a longer period of time can be calculated by adding the weighted average of the calorific value of the coal entering the factory to the weighted average of the calorific value of the coal yard inventory and then subtracting the weighted average of the coal quality in the coal yard at the end of the period. This can avoid deviations in the calculation results caused by fluctuations in the calorific value of the coal entering the furnace in a short period of time.

[0094]

[0095] Current incoming calorific value: the weighted average of the low calorific value of coal batches entering the factory this month and the batch acceptance quantity.

[0096] Current coal quantity entering the factory: the total quantity of coal batches accepted during the month.

[0097] Beginning inventory calorific value: calorific value of coal yard inventory for the month.

[0098] Beginning inventory: coal inventory at the beginning of the month.

[0099] End-of-period inventory calorific value: the calorific value of the coal yard inventory at the end of the month.

[0100] Ending inventory: The amount of coal in stock at the coal yard at the end of the month.

[0101] Current coal consumption: the total amount of coal added to the furnace during the month.

[0102] 5) Theoretical Inventory Calorific Value Calculation Model: Calculate the weighted average calorific value of coal delivered to the plant at the beginning of the period, add the weighted average calorific value of inventory at the beginning of the period, and then subtract the weighted average calorific value of the furnace. Here, the furnace calorific value is replaced by the calorific value delivered to the plant minus 0.3 of the calorific value loss. This method can be used to calculate inventory calorific value when the coal quality of the ending inventory is unknown.

[0103]

[0104] Current incoming calorific value: the weighted average of the low calorific value of coal batches entering the factory this month and the batch acceptance quantity.

[0105] Current coal quantity entering the factory: the total quantity of coal batches accepted during the month.

[0106] Beginning inventory calorific value: calorific value of coal yard inventory for the month.

[0107] Beginning inventory: coal inventory at the beginning of the month.

[0108] Current coal input into the furnace: the total amount of coal added into the furnace during the month.

[0109] Ending inventory: The amount of coal in stock at the coal yard at the end of the month.

[0110] 6) Analysis model of calorific value difference affected by total moisture difference: When the structural impact is small, the formula (where is the converted calorific value, is the measured calorific value, is the measured total water, and is the benchmark total water) is used to calculate the converted furnace calorific value, and the calorific value difference between the coal entering the factory and the coal entering the furnace is calculated to analyze the impact of total moisture changes on the calorific value difference.

[0111] 7) Inventory Count Analysis Model: According to the current method for calculating the ending inventory calorific value, the ending inventory calorific value is equal to the calorific value at the time of inventory count plus the post-inventory delivery minus the post-inventory delivery. Therefore, the inventory calorific value will have a certain impact on the calculation of the structural calorific value difference. First, the current inventory coal calorific value should be confirmed through the inventory structure. Then, the inventory calorific value should be analyzed to determine whether it is falsely high or falsely low. Generally, a falsely high inventory calorific value will lead to a falsely high inventory calorific value and a low structural calorific value difference. Conversely, a falsely low inventory calorific value will lead to a falsely low structural calorific value difference.

[0112] S202: Validate the constructed analytical model using historical data. Compare the model's calculated results with actual plant furnace calorific value difference data and calculate the error rate. Based on the validation results and actual application feedback, continuously optimize the model parameters and algorithms.

[0113] S3, use the visual interface to display and analyze different types of calorific value difference calculation results.

[0114] Develop a visualization interface to display the results of the plant-to-furnace calorific value differential analysis in graphical form. Use bar charts to compare the calorific value differentials of different power plants or suppliers, line charts to show the temporal trend of calorific value differentials, and pie charts to analyze the impact of various factors on calorific value differentials.

[0115] See also Figure 2 The embodiment of the present invention discloses a thermal power enterprise furnace calorific value difference analysis system, including a data acquisition module, a calorific value difference calculation module and a visualization module.

[0116] Among them, the data acquisition module is used to establish a data acquisition interface for the fuel system of a thermal power plant, and collect the metering data, planned contract data, original laboratory data, incoming calorific value data and incoming furnace calorific value data of the thermal power plant; the calorific value difference calculation module is used to input the metering data, planned contract data, original laboratory data, incoming calorific value data and incoming furnace calorific value data of the thermal power plant into a pre-established plant-furnace calorific value difference calculation model to obtain different types of calorific value difference calculation results; the visualization module is used to use a visualization interface to display and analyze different types of calorific value difference calculation results.

[0117] In one embodiment of the present invention, see Figure 4 , provides a computer device, which includes a processor and a memory, wherein the memory is used to store a computer program, the computer program includes program instructions, and 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 (DSP), application-specific integrated circuits (ASIC), field-programmable gate arrays (FPGA), 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, which is suitable for implementing one or more instructions, specifically 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 method for analyzing the calorific value difference of a thermal power plant furnace.

[0118] The present invention also provides a storage medium, specifically a computer-readable storage medium (Memory), which is a memory device in a computer device for storing programs and data. It is understandable that the computer-readable storage medium here can include both built-in storage media in the computer device and, of course, extended storage media supported by the computer device. The computer-readable storage medium provides a storage space that stores the terminal's operating system. In addition, the storage space also stores one or more instructions suitable for being loaded and executed by the processor. These instructions can be one or more computer programs (including program code). It should be noted that the computer-readable storage medium here can be a high-speed RAM memory or a non-volatile memory (non-volatile memory), such as at least one disk memory. The processor can load and execute one or more instructions stored in the computer-readable storage medium to implement the corresponding steps of the above-mentioned embodiment of a method for analyzing the calorific value difference of a thermal power plant furnace.

[0119] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0120] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, an embedded processor, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1 a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0121] These computer program instructions may 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 produce an article of manufacture comprising an instruction device, which implements the process Figure 1a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0122] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 The steps for the function specified in one or more boxes.

[0123] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and not to limit it. Although the present invention has been described in detail with reference to the above embodiments, ordinary technicians in the field should understand that the specific implementation methods of the present invention can still be modified or replaced by equivalents. Any modification or equivalent replacement that does not depart from the spirit and scope of the present invention should be covered by the scope of protection of the claims of the present invention.

Claims

1. A method for analyzing the calorific value difference of a thermal power plant furnace, characterized in that: The following steps are involved: Establish a data acquisition interface for the thermal power plant fuel system to collect the thermal power plant's metering data, plan contract data, raw laboratory data, incoming calorific value data, and incoming furnace calorific value data; Inputting the metering data, planned contract data, raw laboratory data, incoming calorific value data, and incoming furnace calorific value data of the thermal power plant into a pre-established plant-furnace calorific value difference calculation model to obtain different types of calorific value difference calculation results; Use a visual interface to display and analyze different types of calorific value difference calculation results.

2. A thermal power enterprise furnace calorific value difference analysis method according to claim 1, characterized in that: The collection of the measurement data includes the following steps: The measurement data are divided into truck, train and ship transportation according to the mode of coal transportation; the measurement data include the amount of coal shipped, net weight, acceptance quantity, amount of waste deducted, amount of water deducted, measurement time, time of coal shipment, supplier, mine type and coal type; For cars and trains, each vehicle is weighed first by gross weight, and then weighed by tare weight after unloading to generate measurement data; Shipping generates measurement data based on the water gauge after each ship completes coal unloading; Clean and pre-process the collected metering data, provide reminders for missing data or supplement it with historical values; standardize the number of decimal places for metering data to two; The collection of the planned contract data includes the following steps: Obtaining planned contract data based on the coal procurement plan formulated by the power plant and the supply contract signed with the coal supplier after the plan is issued; the coal procurement plan formulated by the power plant includes a monthly transportation plan and a daily transportation plan; The collection of the raw data of the assay comprises the following steps: After coal enters the thermal power plant, the chemical index of coal is measured; during the measurement process, the data generated by the testing instrument is encrypted; When collecting data, decryption and comparison are performed. If the comparison is the same, the data is collected; if the decrypted data is different from the data generated by the original instrument, the data is discarded. The number of decimal places for test data is set uniformly, with calorific value retained to 3 decimal places in kcal / kg, moisture retained to 1 decimal place, and other indicators uniformly retained to 2 decimal places. Rounding rules are based on the banker's algorithm.

3. A thermal power enterprise furnace calorific value difference analysis method according to claim 1, characterized in that: The collection of the incoming calorific value data includes the following steps: The power plant generates an incoming metering batch after the coal is metered into the plant; Carry out sampling, sample preparation and testing of incoming coal according to incoming batches, and finally obtain the test results of incoming batches; The test results include received basis lower heat, received basis sulfur, received basis ash and received basis volatile matter; The collection of the furnace calorific value data includes the following steps: Sampling, sample preparation and testing of coal are carried out when the coal is added to the furnace. After the testing is completed, the testing results of the added coal are obtained; the testing results include received basis low heat content, received basis sulfur content, received basis ash content and received basis volatile matter.

4. A thermal power enterprise furnace calorific value difference analysis method according to claim 1, characterized in that: The construction of the plant furnace calorific value difference calculation model includes the following steps: A plant-furnace calorific value difference calculation model is constructed based on the principle of energy conservation; the plant-furnace calorific value difference calculation model includes sub-models: a current plant-entry calorific value calculation model, a current furnace-entry calorific value calculation model, a structural calorific value difference calculation model, a furnace-entry coal calorific value measurement model, a theoretical inventory calorific value calculation model, a total moisture difference impact calorific value difference analysis model, and an inventory count analysis model; Use historical data to verify the constructed plant furnace calorific value difference calculation model; compare the model calculation results with the actual plant furnace calorific value difference data to calculate the error rate; based on the verification results and actual application feedback, continuously optimize the model parameters and algorithms.

5. A thermal power enterprise furnace calorific value difference analysis method according to claim 4, characterized in that: The expression of the current incoming calorific value calculation model is: The acceptance quantity of the incoming batch is the acceptance quantity of the current incoming coal batch; the calorific value of the incoming batch is the calorific value in the test results of the current incoming coal batch; The expression of the current furnace calorific value calculation model is: The amount of coal added to the furnace is the amount of coal added to the furnace during the current period; the calorific value of the coal added to the furnace is the calorific value in the test results of the coal added to the furnace during the current period; The expression of the structural calorific value difference calculation model is: Among them, the current calorific value entering the factory is the weighted average of the calorific values of the coal entering the factory that month; the beginning inventory is the coal inventory at the beginning of the month; the beginning inventory calorific value is the calorific value of the coal yard inventory that month; the current coal entering the factory is the total acceptance quantity of the batches of coal entering the factory that month; the current calorific value entering the factory is the weighted average of the low calorific value of the batch of coal entering the factory that month and the batch acceptance quantity; the ending inventory is the coal inventory in the coal yard at the end of the month; the ending inventory calorific value is the calorific value of the coal yard inventory at the end of the month.

6. A thermal power enterprise furnace calorific value difference analysis method according to claim 4, characterized in that: The expression of the calorific value calculation model of the incoming coal is: Among them, the current incoming calorific value is the weighted average of the received low calorific value of the coal batches entering the factory that month and the batch acceptance quantity; the current incoming coal quantity is the total acceptance quantity of the coal batches entering the factory that month; the opening inventory calorific value is the inventory calorific value of the coal yard that month; the opening inventory quantity is the inventory quantity at the beginning of the month; the closing inventory calorific value is the inventory calorific value of the coal yard at the end of the month; the closing inventory quantity is the inventory quantity of the coal yard at the end of the month; the current coal consumption quantity is the total amount of coal added to the furnace that month; The expression of the theoretical inventory calorific value calculation model is: Among them, the current incoming calorific value is the weighted average of the received low calorific value of the coal batches entering the factory that month and the batch acceptance quantity; the current incoming coal quantity is the total acceptance quantity of the coal batches entering the factory that month; the opening inventory calorific value is the calorific value of the coal inventory in the coal yard that month; the opening inventory quantity is the coal inventory at the beginning of the month; the current furnace coal quantity is the total amount of coal added to the furnace that month; the ending inventory quantity is the coal inventory in the coal yard at the end of the month; The calorific value difference analysis model of the influence of total moisture difference is used to calculate the converted furnace calorific value using a formula, and calculate the calorific value difference of the coal entering the factory and the coal entering the furnace after conversion, and analyze the influence of total moisture change on the calorific value difference; The inventory count analysis model analyzes the impact of inventory count calorific value on structural calorific value differences.

7. A thermal power enterprise furnace calorific value difference analysis method according to claim 1, characterized in that: The step of displaying and analyzing different types of calorific value difference calculation results using a visual interface specifically includes: Use a visual interface to display the results of the plant furnace calorific value difference analysis in the form of charts; use a bar chart to compare the calorific value differences of different power plants or suppliers, a line chart to show the time trend of the calorific value difference, and a pie chart to analyze the impact of various factors on the calorific value difference.

8. A thermal power plant furnace calorific value difference analysis system, characterized in that: include: The data acquisition module is used to establish a data acquisition interface for the fuel system of a thermal power plant, and collect the power plant's metering data, plan contract data, raw laboratory data, incoming calorific value data, and incoming calorific value data; The calorific value difference calculation module is used to input the metering data, plan contract data, laboratory raw data, incoming calorific value data and incoming furnace calorific value data of the thermal power plant into a pre-established plant-furnace calorific value difference calculation model to obtain different types of calorific value difference calculation results; The visualization module is used to display and analyze different types of calorific value difference calculation results using a visual interface.

9. A computer device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein: When the processor executes the computer program, the steps of the method for analyzing the calorific value difference of a thermal power plant furnace as described in any one of claims 1 to 7 are implemented.

10. A computer-readable storage medium storing a computer program, characterized in that: When the computer program is executed by a processor, the steps of the method for analyzing the calorific value difference of a thermal power plant furnace as described in any one of claims 1 to 7 are implemented.

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