Coal consumption online monitoring method and device for thermal power plant based on multi-source real-time data

Abstract

The application relates to a coal consumption online monitoring method and device for a thermal power plant based on multi-source real-time data, wherein the method comprises the following steps: collecting multi-source data of the thermal power plant, wherein the multi-source data comprises multiple data in a coal supply amount data, a coal quality low calorific value data, a generator power data and a high plant transformer outlet power data; matching multi-source real-time data for the multi-source data based on a coal-electricity conversion delay time and a coal-fired heat value detection delay time; and calculating actual coal consumption of the thermal power plant according to the multi-source real-time data. Therefore, the problems in the prior art that due to the hysteresis of the low calorific value analysis of the coal into the furnace in the positive balance calculation, and the influence of the coal supply amount deviation of the coal feeder, dynamic process mismatch and data island are caused, and thus the real-time energy consumption level of the unit cannot be truly reflected, and fine management of the coal-fired unit is not facilitated are solved.

Description

Technical Field

[0001] This application relates to the field of coal-fired power generation technology, and in particular to a method and device for online monitoring of coal consumption in thermal power plants based on multi-source real-time data. Background Technology

[0002] Currently, coal consumption is one of the most important economic indicators for power generation companies, directly reflecting power generation costs and the current operating status of generating units. my country is promoting energy-saving power generation dispatch policies to achieve energy conservation and emission reduction in the power industry. This policy clearly identifies the implementation of energy-saving power generation dispatch as an important industrial policy for my country's power industry to implement the energy conservation and emission reduction strategy and promote green and low-carbon transformation. Online coal consumption monitoring devices are an important technical support for energy-saving power generation dispatch. Their core function is to collect and analyze unit energy consumption data in real time and continuously, providing the power grid dispatching department with the true energy consumption level of each power plant unit, avoiding the problem of unfair dispatching caused by opaque energy consumption data, and is a necessary technical guarantee to ensure the scientific, fair, and just implementation of the energy-saving power generation dispatch policy.

[0003] In related technologies, coal consumption in thermal power plants is often calculated using both positive and negative balance methods. Negative balance calculations are mostly used for unit performance testing and energy consumption diagnosis and analysis, requiring the calculation of key parameters such as boiler efficiency and turbine heat consumption. Positive balance calculations require less data and are mostly used for statistics on actual coal consumption in power plants. The key parameter is the acquisition of the lower heating value of the coal fed into the furnace, which can be obtained by mechanically sampling and testing the coal at the upper conveyor belt.

[0004] However, in related technologies, the large amount of data required for reverse balance calculation and the stringent boundary conditions make the accuracy of online monitoring susceptible to various data errors. The positive balance calculation is also affected by the lag in the low calorific value analysis of coal entering the furnace and the deviation in the coal feeder, which leads to a mismatch between the analysis data and the power generation. This results in large fluctuations in the positive balance coal consumption data of coal-fired units, which cannot truly reflect the real-time energy consumption level of the units and is not conducive to the realization of refined management of coal-fired units. Therefore, it is urgent to improve these technologies. Summary of the Invention

[0005] This application provides a method and device for online monitoring of coal consumption in thermal power plants based on multi-source real-time data, in order to solve the problems in related technologies, such as the lag in the verification of the low calorific value of coal fed into the furnace due to positive balance calculation, and the influence of the coal feeder deviation, which leads to dynamic process mismatch and data silos, thus failing to accurately reflect the real-time energy consumption level of the unit and hindering the realization of refined management of coal-fired units.

[0006] The first aspect of this application provides a method for online monitoring of coal consumption in thermal power plants based on multi-source real-time data, comprising the following steps: collecting multi-source data from the thermal power plant, wherein the multi-source data includes multiple data such as coal feed rate data, low calorific value data of coal, generator power data, and high-voltage transformer outlet power data; matching multi-source real-time data with the multi-source data based on the coal-to-electricity conversion delay time and the coal calorific value detection delay time; and calculating the actual coal consumption of the thermal power plant based on the multi-source real-time data.

[0007] Through the above-mentioned technical means, the embodiments of this application can collect multi-source real-time data, match the multi-source data based on the coal-to-electricity conversion delay time and the coal calorific value detection delay time, and calculate the actual coal consumption. This effectively solves the data mismatch problem caused by the lag in coal quality detection and the time difference in the energy conversion process, improves the accuracy of power plant positive balance coal consumption statistics, and is conducive to achieving the requirements of refined energy efficiency management of coal-fired units, providing important technical support for energy-saving power generation dispatch.

[0008] Optionally, in one embodiment of this application, after collecting multi-source data from the thermal power plant, the method further includes: dynamically compensating multiple data sources among the coal feed data, coal lower heating value data, generator power data, and high-voltage transformer outlet power data.

[0009] Through the above-mentioned technical means, the embodiments of this application can compensate for dynamic operating conditions such as load fluctuations and uneven coal feeding during power generation, so that the data can better reflect the stable operating state, thereby effectively suppressing the drastic fluctuations in coal consumption calculation values ​​caused by dynamic processes and improving the stability and accuracy of the online monitoring system under changing operating conditions.

[0010] Optionally, in one embodiment of this application, the step of calculating the actual coal consumption of a thermal power plant based on the multi-source real-time data includes: calculating the total coal feed to the boiler based on the multi-source real-time data; calculating the weighted calorific value of the coal fed into the boiler based on the total coal feed; converting the total coal feed into standard coal equivalent based on the total coal feed and the weighted calorific value of the coal fed into the boiler; calculating the plant power consumption rate based on the multi-source real-time data, and calculating the power generation coal consumption based on the total coal feed converted into standard coal equivalent; and calculating the power supply coal consumption based on the plant power consumption rate and the power generation coal consumption.

[0011] Through the aforementioned technical means, the embodiments of this application can construct a progressively refined coal consumption calculation system. By calculating key intermediate parameters step by step, such as total coal feed, weighted calorific value, standard coal quantity, and plant power consumption rate, the scientific nature and traceability of the calculation process can be guaranteed. By performing weighted calorific value calculation and standard coal conversion on the total coal feed, the energy input of the actual coal quality fed into the furnace can be accurately reflected, providing a core guarantee for obtaining accurate coal consumption for power generation and supply.

[0012] Optionally, in one embodiment of this application, the formula for calculating the total coal feed of the boiler can be: , Among them, M coal (t0) represents the total coal feed rate of the boiler at time t0, in m. i (t0) represents the coal feed rate of the i-th coal feeder at time t0; The formula for calculating the weighted calorific value of the coal fed into the furnace can be: , Among them, Q w (t0) represents the weighted lower heating value of the coal fed into the furnace at time t0, and ΔT heat q is the delay time for detecting the calorific value of coal. i For the historical data queue t0+ΔT heat The lower heating value of the coal in the i-th coal feeder at time i, M coal (t0) represents the total coal feed rate of the boiler; The formula for converting the total coal feed rate into standard coal equivalent can be: , Among them, M std (t0) represents the total coal feed rate at time t0 converted to standard coal equivalent, M coal (t0) represents the total coal feed rate of the boiler, Q w (t0) is the weighted lower calorific value of the coal fed into the furnace; The formula for calculating the plant power consumption rate can be: , in, Let ΔT be the plant power consumption rate at time t0. power P is the coal-to-electricity conversion delay time. aux (t1-ΔT) power ) represents the historical data queue t1-ΔT Power High power of the transformer at any time, P g (t1-ΔT) Power ) represents the historical data queue t1-ΔT Power Generator power at any given time; The formula for calculating the coal consumption for power generation can be: , Among them, b g (t0) represents the coal consumption for power generation at time t0, M std (t0) represents the total coal feed rate at time t0 converted to standard coal equivalent, P g (t1-ΔT) Power ) represents t1-ΔT in the historical data queue. PowerThe generator power at any given time.

[0013] Through the above-mentioned technical means, the embodiments of this application can standardize each step of coal consumption calculation, provide a unified and clear mathematical basis for the calculation of each key parameter, systematically eliminate the phenomenon of data silos, realize the deep integration of multi-source heterogeneous data in time and logic, and enable the calculated coal consumption to truly reflect the efficiency of the unit in converting fuel chemical energy into electrical energy at a specific moment.

[0014] Optionally, in one embodiment of this application, the formula for calculating the coal consumption for power supply can be: , Among them, b net (t0) represents the coal consumption for power supply at time t0, b g (t0) represents the coal consumption for power generation. The plant's power consumption rate is mentioned.

[0015] Through the above-mentioned technical means, the embodiments of this application can accurately quantify the impact of plant power consumption on actual power supply energy consumption through the power supply coal consumption calculation formula, and correct the power generation coal consumption by the plant power consumption rate, thereby eliminating the interference of internal power consumption on energy consumption assessment, so that the power supply coal consumption data directly corresponds to the actual energy consumption of the power plant for external power supply, thereby improving the guiding value of coal consumption monitoring for production management.

[0016] A second aspect of this application provides an online monitoring device for coal consumption in a thermal power plant based on multi-source real-time data, comprising: a data acquisition module for acquiring multi-source data from the thermal power plant, wherein the multi-source data includes multiple data such as coal feed rate data, low calorific value data of coal, generator power data, and high-voltage transformer outlet power data; a matching module for matching multi-source real-time data with the multi-source data based on the coal-to-electricity conversion delay time and the coal calorific value detection delay time; and a monitoring module for calculating the actual coal consumption of the thermal power plant based on the multi-source real-time data.

[0017] Through the above-mentioned technical means, the embodiments of this application can collect multi-source real-time data, match the multi-source data based on the coal-to-electricity conversion delay time and the coal calorific value detection delay time, and calculate the actual coal consumption. This effectively solves the data mismatch problem caused by the lag in coal quality detection and the time difference in the energy conversion process, improves the accuracy of power plant positive balance coal consumption statistics, and is conducive to achieving the requirements of refined energy efficiency management of coal-fired units, providing important technical support for energy-saving power generation dispatch.

[0018] Optionally, in one embodiment of this application, it further includes: a compensation module, used to dynamically compensate multiple of the coal feed data, coal low calorific value data, generator power data, and high-voltage transformer outlet power data after the multi-source real-time data.

[0019] Through the above-mentioned technical means, the embodiments of this application can compensate for dynamic operating conditions such as load fluctuations and uneven coal feeding during power generation, so that the data can better reflect the stable operating state, thereby effectively suppressing the drastic fluctuations in coal consumption calculation values ​​caused by dynamic processes and improving the stability and accuracy of the online monitoring system under changing operating conditions.

[0020] Optionally, in one embodiment of this application, the monitoring module includes: a first calculation unit, used to calculate the total coal feed to the boiler based on the multi-source real-time data; a second calculation unit, used to calculate the weighted calorific value of the coal fed into the boiler based on the total coal feed; a third calculation unit, used to convert the total coal feed into standard coal equivalent based on the total coal feed and the weighted calorific value of the coal fed into the boiler; a fourth calculation unit, used to calculate the plant power consumption rate based on the multi-source real-time data, and to calculate the power generation coal consumption based on the total coal feed converted into standard coal equivalent; and a fifth calculation unit, used to calculate the power supply coal consumption based on the plant power consumption rate and the power generation coal consumption.

[0021] Through the aforementioned technical means, the embodiments of this application can construct a progressively refined coal consumption calculation system. By calculating key intermediate parameters step by step, such as total coal feed, weighted calorific value, standard coal quantity, and plant power consumption rate, the scientific nature and traceability of the calculation process can be guaranteed. By performing weighted calorific value calculation and standard coal conversion on the total coal feed, the energy input of the actual coal quality fed into the furnace can be accurately reflected, providing a core guarantee for obtaining accurate coal consumption for power generation and supply.

[0022] Optionally, in one embodiment of this application, the formula for calculating the total coal feed of the boiler can be: , Among them, M coal (t0) represents the total coal feed rate of the boiler at time t0, in m. i (t0) represents the coal feed rate of the i-th coal feeder at time t0; The formula for calculating the weighted calorific value of the coal fed into the furnace can be: , Among them, Q w (t0) represents the weighted lower heating value of the coal fed into the furnace at time t0, and ΔT heat q is the delay time for detecting the calorific value of coal. i For the historical data queue t0+ΔT heat The lower heating value of the coal in the i-th coal feeder at time i, M coal (t0) represents the total coal feed rate of the boiler; The formula for converting the total coal feed rate into standard coal equivalent can be: , Among them, M std(t0) represents the total coal feed rate at time t0 converted to standard coal equivalent, M coal (t0) represents the total coal feed rate of the boiler, Q w (t0) is the weighted lower calorific value of the coal fed into the furnace; The formula for calculating the plant power consumption rate can be: , in, Let ΔT be the plant power consumption rate at time t0. power P is the coal-to-electricity conversion delay time. aux (t1-ΔT) power ) represents the historical data queue t1-ΔT Power High power of the transformer at any time, P g (t1-ΔT) Power ) represents the historical data queue t1-ΔT Power Generator power at any given time; The formula for calculating the coal consumption for power generation can be: , Among them, b g (t0) represents the coal consumption for power generation at time t0, M std (t0) represents the total coal feed rate at time t0 converted to standard coal equivalent, P g (t1-ΔT) Power ) represents t1-ΔT in the historical data queue. Power The generator power at any given time.

[0023] Through the above-mentioned technical means, the embodiments of this application can standardize each step of coal consumption calculation, provide a unified and clear mathematical basis for the calculation of each key parameter, systematically eliminate the phenomenon of data silos, realize the deep integration of multi-source heterogeneous data in time and logic, and enable the calculated coal consumption to truly reflect the efficiency of the unit in converting fuel chemical energy into electrical energy at a specific moment.

[0024] Optionally, in one embodiment of this application, the formula for calculating the coal consumption for power supply can be: , Among them, b net (t0) represents the coal consumption for power supply at time t0, b g (t0) represents the coal consumption for power generation. The plant's power consumption rate is mentioned.

[0025] Through the above-mentioned technical means, the embodiments of this application can accurately quantify the impact of plant power consumption on actual power supply energy consumption through the power supply coal consumption calculation formula, and correct the power generation coal consumption by the plant power consumption rate, thereby eliminating the interference of internal power consumption on energy consumption assessment, so that the power supply coal consumption data directly corresponds to the actual energy consumption of the power plant for external power supply, thereby improving the guiding value of coal consumption monitoring for production management.

[0026] A third aspect of this application provides an electronic device, including: a memory, a processor, and a computer program stored in the memory and executable on the processor. The processor executes the program to implement the online monitoring method for coal consumption in thermal power plants based on multi-source real-time data as described in the above embodiments.

[0027] A fourth aspect of this application provides a non-volatile computer-readable storage medium storing a computer program that, when executed by a processor, implements the above-described method for online monitoring of coal consumption in thermal power plants based on multi-source real-time data.

[0028] A fifth aspect of this application provides a computer program product that stores a computer program that, when executed by a processor, implements the above-described method for online monitoring of coal consumption in thermal power plants based on multi-source real-time data.

[0029] This application embodiment can collect multi-source real-time data and match the multi-source data based on the coal-to-electricity conversion delay time and the coal calorific value detection delay time to calculate the actual coal consumption. This effectively solves the data mismatch problem caused by the lag in coal quality detection and the time difference in the energy conversion process, improves the accuracy of power plant positive balance coal consumption statistics, and is conducive to achieving the requirements of refined energy efficiency management of coal-fired units, providing important technical support for energy-saving power generation dispatch. Thus, it solves the problems in related technologies where the calculation of the low calorific value of coal entering the furnace in positive balance calculation has a lag and is affected by the coal feeder deviation, resulting in dynamic process mismatch and data silos, which in turn cannot accurately reflect the real-time energy consumption level of the unit and are not conducive to achieving refined management of coal-fired units.

[0030] Additional aspects and advantages of this application will be set forth in part in the description which follows, and in part will be obvious from the description, or may be learned by practice of this application. Attached Figure Description

[0031] The above and / or additional aspects and advantages of this application will become apparent and readily understood from the following description of the embodiments taken in conjunction with the accompanying drawings, wherein: Figure 1 This is a schematic diagram of the structure of a multi-source data acquisition device according to an embodiment of this application; Figure 2This is a flowchart illustrating an online monitoring method for coal consumption in a thermal power plant based on multi-source real-time data, according to an embodiment of this application. Figure 3 This is a schematic diagram of a multi-source data acquisition and processing flow according to an embodiment of this application; Figure 4 This is a schematic diagram of the structure of an online coal consumption monitoring device for thermal power plants based on multi-source real-time data, according to an embodiment of this application. Figure 5 This is a schematic diagram of the structure of an electronic device provided according to an embodiment of this application.

[0032] Figure label: 101-Raw Coal Bunker, 102-Coal-fired Boiler, 103-Coal Feed Sensor, 104-Coal Drop Pipe, 105-Burner, 106-Coal Feeder, 107-Pulverized Coal Pipeline, 108-Coal Quality and Calorific Value Rapid Detector, 109-Coal Pipeline, 110-Coal Mill, 111-Steam Pipeline, 112-Generator Outlet Power Meter, 113-Steam Turbine, 114-Generator, 115-Steam Turbine Shaft, 116-Steam Turbine Exhaust Pipelines, 117-Transmission lines, 118-Condenser, 119-Condensate pipeline, 120-Boiler feedwater pipeline, 121-Power meter at the outlet of the high-voltage transformer, 122-High-voltage transformer, 123-Main transformer; 10-Online coal consumption monitoring device for thermal power plants based on multi-source real-time data; 100-Acquisition module, 200-Matching module, 300-Monitoring module; 501-Memory, 502-Processor, 503-Communication interface. Detailed Implementation

[0033] The embodiments of this application are described in detail below. Examples of these embodiments are shown in the accompanying drawings, wherein the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The embodiments described below with reference to the accompanying drawings are exemplary and intended to explain this application, and should not be construed as limiting this application.

[0034] The following describes, with reference to the accompanying drawings, an embodiment of the present application of a method and apparatus for online monitoring of coal consumption in thermal power plants based on multi-source real-time data. Addressing the issues raised in the background section regarding the related technologies, such as the lag in the calculation of the low calorific value of coal fed into the furnace during positive balance calculations, and the influence of coal feeder deviations, dynamic process mismatches and data silos arise, resulting in an inability to accurately reflect the real-time energy consumption level of the unit and hindering the realization of refined management of coal-fired units, this application provides a method for online monitoring of coal consumption in thermal power plants based on multi-source real-time data. This method involves collecting multi-source real-time data, matching the multi-source data based on the coal-to-electricity conversion delay time and the coal calorific value detection delay time, and calculating the actual coal consumption. This effectively solves the data mismatch problem caused by the lag in coal quality detection and the time difference in the energy conversion process, improves the accuracy of positive balance coal consumption statistics in power plants, and facilitates the realization of refined energy efficiency management requirements for coal-fired units, providing important technical support for energy-saving power generation dispatch. This solves the problems in related technologies, such as the lag in the positive balance calculation of the low calorific value of coal fed into the furnace, and the influence of the coal feeder deviation, which leads to dynamic process mismatch and data silos, thus failing to accurately reflect the real-time energy consumption level of the unit and hindering the realization of refined management of coal-fired units.

[0035] Before proceeding with the online monitoring method for coal consumption in thermal power plants based on multi-source real-time data proposed in the embodiments of this application, the multi-source data acquisition device involved in the embodiments of this application will be introduced first.

[0036] Specifically, Figure 1 This is a schematic diagram of the structure of a multi-source data acquisition device according to an embodiment of this application.

[0037] like Figure 1 As shown, the multi-source data acquisition device consists of 101 raw coal bunker, 102 coal-fired boiler, 103 coal feed sensor, 104 coal chutes, 105 burner, 106 coal feeder, 107 pulverized coal pipeline, 108 rapid coal quality and calorific value detector, 109 coal pipeline, 110 coal mill, 111 steam pipeline, 112 generator outlet power meter, 113 steam turbine, 114 generator, 115 steam turbine shaft, 116 steam turbine exhaust pipeline, 117 transmission line, 118 condenser, 119 condensate pipeline, 120 boiler feedwater pipeline, 121 high-voltage transformer outlet power meter, 122 high-voltage transformer, and 123 main transformer.

[0038] Loop 1: The coal in the raw coal bunker 101 enters the coal feeder 106 through the coal drop pipe 104. After the coal feeder obtains the coal feed rate data and the low calorific value data of the coal through the coal feed rate sensor 103 and the coal quality calorific value rapid detector 108, the coal enters the coal mill 110 and is ground into pulverized coal. Then, it enters the coal-fired boiler 102 through the pulverized coal pipeline 107 and the burner 105 for combustion.

[0039] Loop 2: Water from boiler feedwater pipe 120 is delivered to coal-fired boiler 102 for heating, forming high-temperature, high-pressure steam. This steam then enters turbine 113 via steam management pipe 111 to perform work, driving generator 114 to generate electricity. The high-temperature, high-pressure steam expands and performs work in turbine 113, then enters condenser 118 via turbine exhaust pipe 116 to condense into water. This water then enters the regenerative system via condensate pipe 119 for heating, and then re-enters coal-fired boiler 102 via boiler feedwater pipe 120, completing one thermal cycle.

[0040] Circuit 3: The electricity generated by generator 114 is measured by the power meter at the output of generator 112 and then enters the power plant transformer 121 and the main transformer 123 through the transmission line 117. The power plant transformer 122 steps down the voltage of the electricity generated by generator 114 and then measures it at the power meter at the output of power plant transformer 121 before it enters the plant power system to power the auxiliary equipment of the power plant. The main transformer 123 steps up the voltage of the electricity generated by generator 114 and supplies it to the power grid.

[0041] This application embodiment can solve the problem of delayed coal quality data by integrating a 108 coal quality and calorific value rapid detector to replace laboratory testing, based on a multi-source data acquisition device; it simultaneously deploys a 103 coal quantity sensor, a 112 generator, and a 121 high-voltage transformer outlet power meter to achieve multi-dimensional data linkage acquisition and avoid data mismatch; relying on three core loops to ensure real-time and stable data acquisition, it makes up for the shortcomings of traditional monitoring from the hardware level and provides qualified basic data for online coal consumption monitoring. The following, with reference to the flowchart, specifically introduces the method for online coal consumption monitoring of thermal power plants based on multi-source real-time data.

[0042] Specifically, Figure 2 This is a flowchart illustrating an online monitoring method for coal consumption in thermal power plants based on multi-source real-time data, provided in an embodiment of this application.

[0043] like Figure 2 As shown, the online monitoring method for coal consumption in thermal power plants based on multi-source real-time data includes the following steps: In step S201, multi-source data of the thermal power plant is collected, including multiple data such as coal feed data, coal quality low calorific value data, generator power data, and high-voltage transformer outlet power data.

[0044] It is understood that the coal feed data in the embodiments of this application can be understood as the real-time quality data of coal fed to the boiler by each coal feeder; the lower heating value data of coal can be understood as the heat released after a unit mass of coal is completely burned; the generator power data can be understood as the real-time electrical power output by the generator; and the power output data of the high-voltage transformer can be the real-time power output by the high-voltage transformer.

[0045] In actual implementation, the embodiments of this application can collect multi-source data from thermal power plants by deploying dedicated sensing equipment. The multi-source data includes multiple data such as coal feed data, coal low calorific value data, generator power data, and high-voltage transformer outlet power data.

[0046] For example, in the embodiments of this application, a dedicated sensing device, such as a weighing sensor, can be installed on the belt conveyor of each coal feeder. The weighing sensor is also known as a belt scale. The weighing sensor can collect coal feed data and monitor the belt load and running speed in real time to calculate the instantaneous coal feed through a formula.

[0047] For example, in the embodiments of this application, dedicated sensing devices such as rapid coal quality detection devices, such as near-infrared spectrometers, are deployed at the coal bunker entrance or the front end of the coal feeder. The low heating value data of coal can be obtained by using the rapid coal quality detection device without manual sampling and testing. The moisture, ash, and volatile matter of the coal can be analyzed in real time, and then the low heating value can be calculated.

[0048] Furthermore, generator power data and high-voltage transformer outlet power data can be obtained by connecting to the power plant's existing electrical monitoring system or smart meters, directly reading the unit's real-time electrical parameters, and calculating the instantaneous power.

[0049] The embodiments of this application can collect multi-source data from thermal power plants, including coal feed rate, calorific value, power generation, and plant power consumption, to cover the data dimensions of the entire coal-to-thermal-power conversion process, establish a comprehensive data acquisition network, avoid calculation deviations caused by missing data, and provide a complete data foundation for subsequent calculations.

[0050] Optionally, in one embodiment of this application, after collecting multi-source data from a thermal power plant, the method further includes: dynamically compensating multiple data sources among coal feed data, coal low calorific value data, generator power data, and high-voltage transformer outlet power data.

[0051] It is understood that dynamic compensation in the embodiments of this application can be understood as a correction process for deviations in the measurement signal caused by factors such as transmission delay, device response characteristics, or instantaneous fluctuations.

[0052] For example, embodiments of this application can dynamically compensate for multiple data points, including coal feed rate data, coal lower heating value data, generator power data, and high-voltage transformer outlet power data. The coal feed rate sensor transmits the real-time metering data from the original coal feeder belt scale to the data calculation model after dynamic compensation processing. For example, a low-pass digital filter or moving average algorithm is used to filter out invalid high-frequency components in the signal, smooth out instantaneous jitter, and output data that stably reflects the actual coal feeding trend.

[0053] Furthermore, the rapid coal calorific value analyzer uses a LIBS rapid coal quality detection device, which transmits the collected low calorific value of coal to the data calculation model after dynamic compensation processing. For example, in the embodiments of this application, the drift calibration of the LIBS detection results can be performed by combining real-time ambient temperature and humidity and historical test data to eliminate interference from the detection environment.

[0054] The generator output power meter can read the existing generator power data on site in real time according to the accuracy requirements of the collected data, or install a higher-precision generator output power meter and transmit it to the data calculation model after dynamic compensation processing. Similarly, the high-voltage transformer output power meter can also read the existing high-voltage transformer output power data on site in real time according to the accuracy requirements of the collected data, or install a higher-precision high-voltage transformer output power meter and transmit it to the data calculation model after dynamic compensation processing. For example, in this embodiment of the application, the system errors of the generator output power meter and the high-voltage transformer output power meter can be dynamically corrected by real-time collection of voltage and current fluctuation values, reverse calibration based on the power calculation formula, or comparison with high-precision standard instruments.

[0055] The embodiments of this application can compensate for dynamic operating conditions such as load fluctuations and uneven coal feeding during power generation, so that the data can better reflect the stable operating state, thereby effectively suppressing the drastic fluctuations in coal consumption calculation values ​​caused by dynamic processes and improving the stability and accuracy of the online monitoring system under changing operating conditions.

[0056] In step S202, multi-source real-time data is matched with multi-source data based on the coal-to-electricity conversion delay time and the coal calorific value detection delay time.

[0057] It is understood that the coal-to-electricity conversion delay time in the embodiments of this application can be understood as the time consumed in the physical process of coal powder burning, energy transfer and finally being converted into electrical energy in the boiler; the coal calorific value detection delay time can be understood as the time required for coal to go from the sampling point to obtaining effective calorific value data.

[0058] For example, embodiments of this application may introduce a coal-to-power conversion delay time ΔT. power and the delay time ΔT for detecting the calorific value of coal heat Two parameters are used to achieve precise time matching through a historical data queue. Assuming the current time is t1, the coal consumption of a thermal power plant at time t0 should be retrieved from the historical data queue at t0+ΔT. heat Lower heating value data of coal at time t1-ΔT power The generator power and high-voltage transformer power data at any given time, and the coal feed data can be directly retrieved from the coal feed data at time t0.

[0059] This application's embodiments can solve the problems of time lag effects in existing positive balance calculations, such as the failure to consider coal feeding, pulverizing, combustion, and power generation, as well as the time lag effect of rapid coal calorific value detection, by introducing two parameters: coal-to-electricity conversion delay time and coal calorific value detection delay time. This allows for better matching of the three parameters—coal feed rate, coal calorific value, and power—and achieves precise time matching through historical data queues.

[0060] In step S203, the actual coal consumption of the thermal power plant is calculated based on multi-source real-time data.

[0061] It is understood that the actual coal consumption in the embodiments of this application can be the amount of coal consumed by the unit to generate one unit of electricity under real-time operating conditions, including coal consumption for power generation and coal consumption for power supply.

[0062] For example, embodiments of this application can be based on multi-source real-time data such as t0+ΔT, which involves completion time matching and dynamic compensation. heat Coal lower heating value data at time t1-ΔT power The actual coal consumption of a thermal power plant is calculated by taking the generator power and transformer power data at time t0 and the coal feed data at time t0.

[0063] Furthermore, in this embodiment, multi-source real-time data is input into a series of calculation formulas. First, the effective energy of total coal consumption is calculated by combining the total amount of coal fed and the calorific value of coal. This energy is then converted into standard coal quantity to unify the energy consumption comparison standard for different types of coal. Finally, the corresponding coal consumption for power generation and coal consumption for power supply are output by combining the total power generation and the external power supply (total power generation minus plant power consumption).

[0064] The embodiments of this application can achieve accurate and real-time quantification of coal consumption for power generation and coal consumption for power supply through multi-source data linkage and formulaic step-by-step calculation. The standardized calculation logic and accurate parameter substitution ensure that the coal consumption data truly reflects the real-time operating conditions of the unit, providing an objective and comparable quantitative basis for refined energy efficiency management and energy-saving power generation scheduling of coal-fired units.

[0065] Optionally, in one embodiment of this application, calculating the actual coal consumption of a thermal power plant based on multi-source real-time data includes: calculating the total coal feed to the boiler based on multi-source real-time data; calculating the weighted calorific value of the coal fed into the boiler based on the total coal feed; converting the total coal feed into standard coal equivalent based on the total coal feed and the weighted calorific value of the coal fed into the boiler; calculating the plant power consumption rate based on multi-source real-time data, and calculating the power generation coal consumption based on the total coal feed converted into standard coal equivalent; and calculating the power supply coal consumption based on the plant power consumption rate and the power generation coal consumption.

[0066] It is understood that the total coal feed rate of the boiler in this embodiment can be understood as the basic parameter of the total coal consumption of the unit; the weighted calorific value of the coal entering the boiler can be understood as the comprehensive average lower heating value of all coal entering the boiler, calculated with the real-time coal feed rate of each coal feeder as the weight. From the perspective of the comprehensiveness of coal quality and energy measurement, the use of the weighted calorific value of the coal entering the boiler can better fit the actual working conditions of mixed combustion of coal in the boiler, avoid the energy calculation deviation caused by the one-sided coal quality data, and improve the accuracy of subsequent standard coal conversion and coal consumption calculation.

[0067] In actual implementation, the embodiments of this application can calculate the total coal feed of the boiler at time t0 by simply summing the coal feed of each coal feeder. Then, using the coal quality calorific value of each coal feeder after time matching, and with the coal feed of the corresponding coal feeder as the weight, the weighted calorific value of the coal entering the furnace at time t0 can be further calculated.

[0068] Furthermore, in this embodiment, the actual total coal supply is uniformly converted into standard coal quantity using weighted calorific value, and the plant power consumption rate is calculated simultaneously based on the generator power data and the power output data of the high-voltage transformer after delay matching. In this embodiment, the converted standard coal quantity is combined with the net power generation to calculate the power generation coal consumption, that is, the standard coal consumption per unit of power generation. Based on this result, this embodiment further incorporates the plant power consumption rate for calculation to obtain the power supply coal consumption, that is, the standard coal consumption per unit of on-grid power supply, thereby completing the accurate measurement of coal consumption.

[0069] The embodiments of this application can construct a progressively refined coal consumption calculation system. By calculating key intermediate parameters step by step, such as total coal feed, weighted calorific value, standard coal quantity, and plant power consumption rate, the scientific nature and traceability of the calculation process can be guaranteed. By performing weighted calorific value calculation and standard coal conversion on the total coal feed, the energy input of the actual coal quality entering the furnace can be accurately reflected. This avoids the defect that a single coal quality test cannot reflect the differences in coal quality among multiple coal feeders, and provides a core guarantee for obtaining accurate coal consumption for power generation and supply.

[0070] Optionally, in one embodiment of this application, the formula for calculating the total coal feed to the boiler can be: , Among them, M coal (t0) represents the total coal feed rate of the boiler at time t0, in m. i (t0) represents the coal feed rate of the i-th coal feeder at time t0; The formula for calculating the weighted calorific value of coal fed into the furnace can be: , Among them, Q w (t0) represents the weighted lower heating value of the coal fed into the furnace at time t0, and ΔT heat q is the delay time for detecting the calorific value of coal.i For the historical data queue t0+ΔT heat The lower heating value of the coal in the i-th coal feeder at time i, M coal (t0) represents the total coal feed rate to the boiler; The formula for converting total coal supply into standard coal equivalent is as follows: , Among them, M std (t0) represents the total coal feed rate at time t0 converted to standard coal equivalent, M coal (t0) represents the total coal feed rate of the boiler, Q w (t0) is the weighted lower calorific value of the coal fed into the furnace; The formula for calculating the plant power consumption rate is as follows: , in, Let ΔT be the plant power consumption rate at time t0. power P is the coal-to-electricity conversion delay time. aux (t1-ΔT) power ) represents the historical data queue t1-ΔT Power High power of the transformer at any time, P g (t1-ΔT) Power ) represents the historical data queue t1-ΔT Power Generator power at any given time; The formula for calculating coal consumption for power generation can be: , Among them, b g (t0) represents the coal consumption for power generation at time t0, M std (t0) represents the total coal feed rate at time t0 converted to standard coal equivalent, P g (t1-ΔT) Power ) represents the historical data queue t1-ΔT Power The generator power at any given time.

[0071] In actual implementation, this application embodiment can assume that there are currently n coal mills operating, and the real-time coal consumption calculation process of the thermal power plant at time t0 is as follows: This application embodiment can calculate the total coal feed of the boiler based on multi-source real-time data. The formula for calculating the total coal feed of the boiler is as follows: , Among them, M coal (t0) represents the total coal feed rate of the boiler at time t0, in t / h and m³. i (t0) represents the coal feed rate of the i-th coal feeder at time t0, in t / h.

[0072] This application embodiment can calculate the weighted calorific value of the coal fed into the boiler based on the total coal feed rate. The formula for calculating the weighted calorific value of the coal fed into the boiler can be: , Among them, Q w (t0) represents the weighted lower heating value of the coal fed into the furnace at time t0, in kJ / kg, and ΔT heat q is the delay time for detecting the calorific value of coal. i For the historical data queue t0+ΔT heat The lower heating value of the coal in the i-th coal feeder at time i, expressed in kJ / kg, M coal (t0) represents the total coal feed rate to the boiler. ΔT heat The delay time for detecting the calorific value of coal can be set to a fixed value through the average detection time of the rapid coal calorific value detector.

[0073] In this embodiment of the application, the total coal feed rate can be converted into standard coal equivalent based on the total coal feed rate and the weighted calorific value of the coal entering the furnace. The calculation formula for converting the total coal feed rate into standard coal equivalent is as follows: , Among them, M std (t0) represents the total coal feed rate at time t0 converted to standard coal equivalent, in units of t / h and M. coal (t0) represents the total coal feed rate of the boiler, Q w (t0) is the weighted lower calorific value of the coal fed into the furnace.

[0074] This application embodiment can calculate the plant power consumption rate based on multi-source real-time data. The formula for calculating the plant power consumption rate is as follows: , in, Let ΔT be the plant power consumption rate at time t0. power P is the coal-to-electricity conversion delay time. aux (t1-ΔT) power ) represents the historical data queue t1-ΔT Power The power output of the high-voltage transformer at any given time is expressed in kW (P). g (t1-ΔT) Power ) represents the historical data queue t1-ΔT Power The generator power at any given time, expressed in kW.

[0075] Where, ΔT power The coal-to-power conversion delay time can be calibrated through a step test of coal feed rate under steady-state conditions. A fixed value is used during the stable load phase in real-time calculations; the delay time ΔT during the load ramp-up phase... power Shorten by 10%-20%; during the load reduction phase, ΔT power Extend by 15%-25%.

[0076] In this embodiment of the application, the coal consumption for power generation can be calculated by converting the total coal supply into standard coal equivalent. The formula for calculating the coal consumption for power generation is as follows: , Among them, b g (t0) represents the coal consumption for power generation at time t0, in g / kWh, M std (t0) represents the total coal feed rate at time t0 converted to standard coal equivalent, P g (t1-ΔT) Power ) represents the historical data queue t1-ΔT Power The generator power at any given time.

[0077] The embodiments of this application can standardize each step of coal consumption calculation, provide a unified and clear mathematical basis for the calculation of each key parameter, systematically eliminate the phenomenon of data silos, realize the deep integration of multi-source heterogeneous data in time and logic, and enable the calculated coal consumption to truly reflect the efficiency of the unit in converting fuel chemical energy into electrical energy at a specific moment.

[0078] Optionally, in one embodiment of this application, the formula for calculating coal consumption for power supply is: , Among them, b net (t0) represents the coal consumption for power supply at time t0, b g (t0) represents the coal consumption for power generation. This refers to the plant's power consumption rate.

[0079] In actual implementation, the embodiments of this application can automatically retrieve the power generation coal consumption and plant power consumption rate within the same period from the calculation results, calculate the power supply coal consumption based on the plant power consumption rate and power generation coal consumption, and substitute them into the calculation formula for power supply coal consumption: , Among them, b net (t0) represents the coal consumption for power supply at time t0, in g / kWh, b g (t0) represents the coal consumption for power generation. This refers to the plant's power consumption rate. The coal consumption for power supply should be greater than the coal consumption for power generation. If the calculation result shows "coal consumption for power supply ≤ coal consumption for power generation," the system will automatically indicate an abnormal plant power consumption rate and trace the calculation process to ensure the result is correct.

[0080] The embodiments of this application can accurately quantify the impact of plant power consumption on actual power supply energy consumption through the power supply coal consumption calculation formula. By correcting the power generation coal consumption through the plant power consumption rate, the interference of internal power consumption on energy consumption assessment is eliminated, so that the power supply coal consumption data directly corresponds to the actual energy consumption of the power plant for external power supply, thereby improving the guiding value of coal consumption monitoring for production management.

[0081] For example, a domestic thermal power plant has a 660MW supercritical unit equipped with 6 coal feeders, each corresponding to one coal mill, and all 6 coal feeders and coal mills operate simultaneously.

[0082] Calibration was performed through a step test of coal feed rate under steady-state operating conditions. The calibrated ΔT was obtained. power The time is 18 minutes. The average detection time ΔT of the rapid coal calorific value analyzer. heat It lasts for 3 minutes.

[0083] Therefore, the currently displayed data is the coal consumption index from 18 minutes ago, and the calorific value of the coal fed into the furnace by the coal feeder is the lower heating value from 3 minutes ago. That is, the coal consumption index is refreshed every 18 minutes, and the calorific value of the coal fed into the furnace is refreshed every 3 minutes. The data calculated according to the above calculation method is shown in Table 1, where Table 1 is a real-time coal consumption calculation example table for a 660MW unit in China.

[0084]

[0085] Specifically, such as Figure 3 As shown, a specific embodiment is described below.

[0086] The embodiments of this application may include: S301 data acquisition and storage steps, S302 dynamic compensation processing steps, S303 data calculation and steps, and S304 data output steps.

[0087] Step S301: Collect coal feed rate data m i Low calorific value of coal q i、 Generator power data P g High-voltage transformer outlet power data P aux The data is stored along with a time series sequence to provide raw data support for subsequent processing.

[0088] Step S302: Perform dynamic compensation on the collected data, focusing on compensating for the coal quality conversion delay time and the coal calorific value detection delay time, correcting the deviations in data in terms of time matching and quality, and improving data accuracy.

[0089] Step S303: Based on the data processed by the preceding module, calculate the total coal feed rate M of the boiler. coal Weighted calorific value Q of coal fed into the furnace w Standard coal equivalent (M) std Plant power consumption rate η aux Then, the coal consumption for power generation B was calculated. g Coal consumption for power supply B net Key indicators such as...

[0090] Step S304: Output the coal consumption for power generation and the coal consumption for power supply, providing intuitive energy consumption results for online monitoring of coal consumption in thermal power plants.

[0091] The online coal consumption monitoring method for thermal power plants based on multi-source real-time data proposed in this application can calculate actual coal consumption by collecting multi-source real-time data and matching the multi-source data based on the coal-to-electricity conversion delay time and the coal calorific value detection delay time. This effectively solves the data mismatch problem caused by the lag in coal quality detection and the time difference in the energy conversion process, improves the accuracy of positive balance coal consumption statistics in power plants, and is conducive to achieving the requirements of refined energy efficiency management of coal-fired units, providing important technical support for energy-saving power generation dispatch. Therefore, it solves the problem in related technologies where the calculation of the low calorific value of coal entering the furnace in positive balance calculation has a lag and is affected by the deviation in coal feeder quantity, resulting in dynamic process mismatch and data silos, which cannot truly reflect the real-time energy consumption level of the unit and are not conducive to achieving refined management of coal-fired units.

[0092] Next, referring to the accompanying drawings, we describe the online coal consumption monitoring device for thermal power plants based on multi-source real-time data, according to an embodiment of this application.

[0093] Figure 4 This is a schematic diagram of the structure of the online coal consumption monitoring device for thermal power plants based on multi-source real-time data, according to an embodiment of this application.

[0094] like Figure 4 As shown, the online coal consumption monitoring device 10 for thermal power plants based on multi-source real-time data includes: a data acquisition module 100, a matching module 200, and a monitoring module 300.

[0095] The acquisition module 100 is used to acquire multi-source data from thermal power plants, including multiple data sources such as coal feed data, coal quality low calorific value data, generator power data, and high-voltage transformer outlet power data.

[0096] The matching module 200 is used to match multi-source real-time data with multi-source data based on the coal-to-electricity conversion delay time and the coal calorific value detection delay time.

[0097] The monitoring module 300 is used to calculate the actual coal consumption of thermal power plants based on multi-source real-time data.

[0098] Optionally, in one embodiment of this application, the online coal consumption monitoring device 10 for thermal power plants further includes a compensation module.

[0099] The compensation module is used to dynamically compensate multiple data sources, including coal feed rate data, coal low calorific value data, generator power data, and high-voltage transformer outlet power data, after receiving real-time data from multiple sources.

[0100] Optionally, in one embodiment of this application, the monitoring module 300 includes: a first calculation unit, a second calculation unit, a third calculation unit, a fourth calculation unit, and a fifth calculation unit.

[0101] The first calculation unit is used to calculate the total coal feed of the boiler based on multi-source real-time data.

[0102] The second calculation unit is used to calculate the weighted calorific value of the coal fed into the boiler based on the total coal feed rate.

[0103] The third calculation unit is used to calculate the total coal feed rate and convert it into standard coal based on the total coal feed rate of the boiler and the weighted calorific value of the coal entering the furnace.

[0104] The fourth calculation unit is used to calculate the plant power consumption rate based on multi-source real-time data, and to calculate the power generation coal consumption by converting the total coal supply into standard coal equivalent.

[0105] The fifth calculation unit is used to calculate the coal consumption for power supply based on the plant's power consumption rate and the coal consumption for power generation.

[0106] Optionally, in one embodiment of this application, the formula for calculating the total coal feed to the boiler can be: , Among them, M coal (t0) represents the total coal feed rate of the boiler at time t0, in m. i (t0) represents the coal feed rate of the i-th coal feeder at time t0; The formula for calculating the weighted calorific value of coal fed into the furnace can be: , Among them, Q w (t0) represents the weighted lower heating value of the coal fed into the furnace at time t0, and ΔT heat q is the delay time for detecting the calorific value of coal. i For the historical data queue t0+ΔT heat The lower heating value of the coal in the i-th coal feeder at time i, M coal (t0) represents the total coal feed rate to the boiler; The formula for converting total coal supply into standard coal equivalent is as follows: , Among them, M std (t0) represents the total coal feed rate at time t0 converted to standard coal equivalent, M coal (t0) represents the total coal feed rate of the boiler, Q w (t0) is the weighted lower calorific value of the coal fed into the furnace; The formula for calculating the plant power consumption rate is as follows: , in, Let ΔT be the plant power consumption rate at time t0. power P is the coal-to-electricity conversion delay time. aux (t1-ΔT) power) represents the historical data queue t1-ΔT Power High power of the transformer at any time, P g (t1-ΔT) Power ) represents the historical data queue t1-ΔT Power Generator power at any given time; The formula for calculating coal consumption for power generation can be: , Among them, b g (t0) represents the coal consumption for power generation at time t0, M std (t0) represents the total coal feed rate at time t0 converted to standard coal equivalent, P g (t1-ΔT) Power ) represents the historical data queue t1-ΔT Power The generator power at any given time.

[0107] Optionally, in one embodiment of this application, the formula for calculating coal consumption for power generation can be: , Among them, b net (t0) represents the coal consumption for power supply at time t0, b g (t0) represents the coal consumption for power generation. This refers to the plant's power consumption rate.

[0108] It should be noted that the foregoing explanation of the embodiment of the online coal consumption monitoring method for thermal power plants based on multi-source real-time data also applies to the online coal consumption monitoring device for thermal power plants based on multi-source real-time data in this embodiment, and will not be repeated here.

[0109] The online coal consumption monitoring device for thermal power plants based on multi-source real-time data proposed in this application can calculate actual coal consumption by collecting multi-source real-time data and matching the multi-source data based on the coal-to-electricity conversion delay time and the coal calorific value detection delay time. This effectively solves the data mismatch problem caused by the lag in coal quality detection and the time difference in the energy conversion process, improves the accuracy of positive balance coal consumption statistics in power plants, and is conducive to achieving the requirements of refined energy efficiency management of coal-fired units, providing important technical support for energy-saving power generation dispatch. Therefore, it solves the problem in related technologies where the calculation of the low calorific value of coal entering the furnace in positive balance calculation has a lag and is affected by the deviation in coal feeder quantity, resulting in dynamic process mismatch and data silos, which cannot truly reflect the real-time energy consumption level of the unit and are not conducive to achieving refined management of coal-fired units.

[0110] Figure 5 A schematic diagram of the structure of an electronic device provided in an embodiment of this application. The electronic device may include: The memory 501, the processor 502, and the computer program stored on the memory 501 and capable of running on the processor 502.

[0111] When the processor 502 executes the program, it implements the online monitoring method for coal consumption in thermal power plants based on multi-source real-time data provided in the above embodiments.

[0112] Furthermore, electronic devices also include: Communication interface 503 is used for communication between memory 501 and processor 502.

[0113] The memory 501 is used to store computer programs that can run on the processor 502.

[0114] Memory 501 may include high-speed RAM memory, and may also include non-volatile memory, such as at least one disk storage device.

[0115] If the memory 501, processor 502, and communication interface 503 are implemented independently, then the communication interface 503, memory 501, and processor 502 can be interconnected via a bus to complete communication between them. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. The bus can be divided into address bus, data bus, control bus, etc. For ease of representation, Figure 5 The bus is represented by a single thick line, but this does not mean that there is only one bus or one type of bus.

[0116] Optionally, in a specific implementation, if the memory 501, processor 502, and communication interface 503 are integrated on a single chip, then the memory 501, processor 502, and communication interface 503 can communicate with each other through an internal interface.

[0117] Processor 502 may be a central processing unit (CPU), an application specific integrated circuit (ASIC), or one or more integrated circuits configured to implement the embodiments of this application.

[0118] This application also provides a non-volatile computer-readable storage medium storing a computer program thereon, which, when executed by a processor, implements the above-described method for online monitoring of coal consumption in thermal power plants based on multi-source real-time data.

[0119] This application also provides a computer program product storing a computer program that, when executed by a processor, implements the above-described method for online monitoring of coal consumption in thermal power plants based on multi-source real-time data.

[0120] In the description of this specification, the references to terms such as "one embodiment," "some embodiments," "example," "specific example," or "some examples," etc., indicate that a specific feature, structure, material, or characteristic described in connection with that embodiment or example is included in at least one embodiment or example of this application. In this specification, the illustrative expressions of the above terms do not necessarily refer to the same embodiment or example. Furthermore, the specific features, structures, materials, or characteristics described may be combined in any suitable manner in one or more embodiments or examples. Moreover, without contradiction, those skilled in the art can combine and integrate the different embodiments or examples described in this specification, as well as the features of different embodiments or examples.

[0121] Furthermore, the terms "first" and "second" are used for descriptive purposes only and should not be construed as indicating or implying relative importance or implicitly specifying the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include at least one of that feature. In the description of this application, "N" means at least two, such as two, three, etc., unless otherwise explicitly specified.

[0122] Any process or method described in the flowchart or otherwise herein can be understood as representing a module, segment, or portion of code comprising one or N executable instructions for implementing custom logic functions or processes, and the scope of the preferred embodiments of this application includes additional implementations in which functions may be performed not in the order shown or discussed, including substantially simultaneously or in reverse order depending on the functions involved, as should be understood by those skilled in the art to which embodiments of this application pertain.

[0123] The logic and / or steps represented in the flowchart or otherwise described herein, for example, can be considered as a sequenced list of executable instructions for implementing logical functions, and can be embodied in any computer-readable medium for use by, or in conjunction with, an instruction execution system, apparatus, or device (such as a computer-based system, a processor-included system, or other system that can fetch and execute instructions from, an instruction execution system, apparatus, or device). For the purposes of this specification, "computer-readable medium" can be any means that can contain, store, communicate, propagate, or transmit programs for use by, or in conjunction with, an instruction execution system, apparatus, or device. More specific examples (a non-exhaustive list) of computer-readable media include: an electrical connection having one or more wires (electronic device), a portable computer disk drive (magnetic device), random access memory (RAM), read-only memory (ROM), erasable and editable read-only memory (EPROM or flash memory), fiber optic devices, and portable optical disc read-only memory (CDROM). Alternatively, the computer-readable medium may be paper or other suitable media on which the program can be printed, since the program can be obtained electronically by optically scanning the paper or other medium, followed by editing, interpreting, or otherwise processing as necessary, and then stored in a computer memory.

[0124] It should be understood that the various parts of this application can be implemented using hardware, software, firmware, or a combination thereof. In the above embodiments, the N steps or methods can be implemented using software or firmware stored in memory and executed by a suitable instruction execution system. If implemented in hardware, as in another embodiment, it can be implemented using any one or more of the following techniques known in the art: discrete logic circuits having logic gates for implementing logical functions on data signals, application-specific integrated circuits (ASICs) having suitable combinational logic gates, programmable gate arrays (PGAs), field-programmable gate arrays (FPGAs), etc.

[0125] Those skilled in the art will understand that all or part of the steps of the methods in the above embodiments can be implemented by a program instructing related hardware. The program can be stored in a computer-readable storage medium, and when executed, the program includes one or a combination of the steps of the method embodiments.

[0126] Furthermore, the functional units in the various embodiments of this application can be integrated into a processing module, or each unit can exist physically separately, or two or more units can be integrated into a module. The integrated module can be implemented in hardware or as a software functional module. If the integrated module is implemented as a software functional module and sold or used as an independent product, it can also be stored in a computer-readable storage medium.

[0127] The storage medium mentioned above can be a read-only memory, a disk, or an optical disk, etc. Although embodiments of this application have been shown and described above, it is understood that the above embodiments are exemplary and should not be construed as limiting this application. Those skilled in the art can make changes, modifications, substitutions, and variations to the above embodiments within the scope of this application.

Claims

1. A method for online monitoring of coal consumption in thermal power plants based on multi-source real-time data, characterized in that, Includes the following steps: Collect multi-source data from thermal power plants, including multiple data sources such as coal feed rate data, coal lower heating value data, generator power data, and high-voltage transformer outlet power data. Based on the coal-to-electricity conversion delay time and the coal calorific value detection delay time, multi-source real-time data is matched to the multi-source data. The actual coal consumption of the thermal power plant is calculated based on the multi-source real-time data.

2. The method according to claim 1, characterized in that, Following the acquisition of multi-source data from thermal power plants, the following is also included: Dynamic compensation is performed on multiple data points, including coal feed rate data, coal lower heating value data, generator power data, and high-voltage transformer outlet power data.

3. The method according to claim 1, characterized in that, The calculation of the actual coal consumption of the thermal power plant based on the multi-source real-time data includes: Based on the aforementioned multi-source real-time data, the total coal feed to the boiler is calculated; Calculate the weighted calorific value of the coal fed into the boiler based on the total coal feed rate of the boiler. The total coal feed rate is calculated and converted into standard coal equivalent based on the total coal feed rate of the boiler and the weighted calorific value of the coal fed into the boiler. Based on the multi-source real-time data, the plant power consumption rate is calculated, and the power generation coal consumption is calculated by converting the total coal supply into standard coal equivalent. The coal consumption for power supply is calculated based on the plant power consumption rate and the coal consumption for power generation.

4. The method according to claim 3, characterized in that, in, The formula for calculating the total coal feed rate of the boiler is as follows: ， Among them, M coal (t0) represents the total coal feed rate of the boiler at time t0, in m. i (t0) represents the coal feed rate of the i-th coal feeder at time t0; The formula for calculating the weighted calorific value of the coal fed into the furnace is as follows: ， Among them, Q w (t0) represents the weighted lower heating value of the coal fed into the furnace at time t0, and ΔT heat q is the delay time for detecting the calorific value of coal. i For the historical data queue t0+ΔT heat The lower heating value of the coal in the i-th coal feeder at time i, M coal (t0) represents the total coal feed rate of the boiler; The formula for converting the total coal feed rate into standard coal equivalent is as follows: ， Among them, M std (t0) represents the total coal feed rate at time t0 converted to standard coal equivalent, M coal (t0) represents the total coal feed rate of the boiler, Q w (t0) is the weighted lower calorific value of the coal fed into the furnace; The formula for calculating the plant power consumption rate is as follows: ， in, Let ΔT be the plant power consumption rate at time t0. power P is the coal-to-electricity conversion delay time. aux (t1-ΔT) power ) represents the historical data queue t1-ΔT Power High power of the transformer at any time, P g (t1-ΔT) Power ) represents the historical data queue t1-ΔT Power Generator power at any given time; The formula for calculating the coal consumption for power generation is as follows: ， Among them, b g (t0) represents the coal consumption for power generation at time t0, M std (t0) represents the total coal feed rate at time t0 converted to standard coal equivalent, P g (t1-ΔT) Power ) represents t1-ΔT in the historical data queue. Power The generator power at any given time.

5. The method according to claim 3 or 4, characterized in that, The formula for calculating the coal consumption for power supply is: ， Among them, b net (t0) represents the coal consumption for power supply at time t0, b g (t0) represents the coal consumption for power generation. The plant's power consumption rate is mentioned.

6. A coal consumption online monitoring device for thermal power plants based on multi-source real-time data, characterized in that, include: The data acquisition module is used to acquire multi-source data from thermal power plants, including multiple data sources such as coal feed rate data, coal quality low calorific value data, generator power data, and high-voltage transformer outlet power data. The matching module is used to match multi-source real-time data with the multi-source data based on the coal-to-electricity conversion delay time and the coal calorific value detection delay time; The monitoring module is used to calculate the actual coal consumption of the thermal power plant based on the multi-source real-time data.

7. The apparatus according to claim 6, characterized in that, Also includes: The compensation module is used to dynamically compensate multiple data sources, including coal feed rate data, low calorific value of coal, generator power data, and high-voltage transformer outlet power data, after the multi-source real-time data.

8. An electronic device, characterized in that, include: The method includes a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the online monitoring method for coal consumption in thermal power plants based on multi-source real-time data as described in any one of claims 1-5.

9. A non-volatile computer-readable storage medium having a computer program stored thereon, characterized in that, The program is executed by the processor to implement the online monitoring method for coal consumption in thermal power plants based on multi-source real-time data as described in any one of claims 1-5.

10. A computer program product, comprising a computer program, characterized in that, The computer program is executed to implement the online monitoring method for coal consumption in thermal power plants based on multi-source real-time data as described in any one of claims 1-5.

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