Intelligent combustion regulation and control system and method for coal-fired boiler based on big data analysis

Abstract

The embodiment of the invention provides a coal-fired boiler intelligent combustion regulation and control system and method based on big data analysis. The system comprises a data acquisition module, a coal quality analysis module and a boiler automatic control coupling module. The data acquisition module is interactively connected with the input end of the boiler automatic control coupling module, and the coal quality analysis module is interactively connected with the input end of the boiler automatic control coupling module; the data acquisition module is used for collecting and updating various operation data of the coal-fired boiler in real time when the coal-fired boiler is used; and the coal quality analysis module is used for the coal-fired boiler. According to the intelligent combustion regulation and control system for the coal-fired boiler based on big data analysis, the working condition in the coal-fired boiler can be monitored in real time, meanwhile, the interior of the coal-fired boiler is regulated and controlled in real time, and the working efficiency of the coal-fired boiler is improved.

Description

Technical Field

[0001] The embodiments of the present disclosure belong to the technical field of coal-fired boilers, and specifically relate to an intelligent combustion control system and method for coal-fired boilers based on big data analysis. Background Art

[0002] A coal-fired boiler is a device that uses coal as fuel to burn and heat water or generate steam. It is usually composed of a combustion chamber, a boiler shell, a flue, a blower, a water supply system, a smoke exhaust system, and other components. The working principle is to burn coal in the combustion chamber and release heat energy to heat water or generate steam.

[0003] The relevant coal-fired boiler control technology has the following shortcomings: traditionally, coal-fired boilers are controlled through sensors and manual observation, which may not be possible in real time, and the control requires manual control, and real-time and accurate control is not possible, which may affect the working efficiency of the coal-fired boiler and cannot meet people's usage needs well. Summary of the invention

[0004] The embodiments of the present disclosure aim to solve at least one of the technical problems existing in the prior art and provide a smart combustion control system and method for coal-fired boilers based on big data analysis.

[0005] On the one hand, the embodiments of the present disclosure provide a coal-fired boiler intelligent combustion control system based on big data analysis, including a data acquisition module, a coal quality analysis module, and a boiler automatic control coupling module;

[0006] The data acquisition module is interactively connected to the input end of the boiler automatic control coupling module, and the coal quality analysis module is interactively connected to the input end of the boiler automatic control coupling module;

[0007] When the data acquisition module is used for coal-fired boilers, it collects and updates various operating data of coal-fired boilers in real time;

[0008] When the coal quality analysis module is used in coal-fired boilers, the quality of the coal to be added to the coal-fired boiler is analyzed in advance;

[0009] The boiler automatic control coupling module is used for real-time intelligent adjustment of various regulating devices of the coal-fired boiler when the coal-fired boiler is in use.

[0010] Optionally, the data acquisition module includes a data acquisition unit and a data evaluation and analysis unit;

[0011] The data acquisition unit collects CO concentration, NOx concentration, O2 concentration, coal powder concentration, furnace temperature, burner flame shape and fan flow rate in the coal-fired boiler in real time, and classifies the collected data models;

[0012] The data evaluation and analysis unit compares the input data model with the data model in the big database in real time and analyzes and evaluates the data.

[0013] Optionally, the coal quality analysis module includes a coal quality analysis unit and a coal quality assessment and analysis unit;

[0014] The coal quality analysis unit analyzes the coal quality and elements contained in the coal to be added to the coal-fired boiler, and analyzes the content of C, H, N, S, and O elements in the coal;

[0015] The coal quality evaluation and analysis unit compares the input data model of coal quality and elements contained in the coal with the data model in the big database, and analyzes and evaluates the data.

[0016] Optionally, the coal quality analysis unit includes an industrial analyzer and an element analyzer;

[0017] Industrial analyzers can test coal quality, coal powder fineness, moisture, ash and volatile matter;

[0018] The element analyzer analyzes the content of C, H, O, N and S elements in the coal.

[0019] Optionally, the boiler automatic control coupling module includes an intelligent control unit and a control device unit;

[0020] The intelligent control unit controls the various components of the control device unit according to the input data model and the specific solution to the problem;

[0021] The control device unit includes a burner, an ignition device, a primary fan air volume regulating valve, a secondary fan air volume regulating valve, an SCR denitrification device and a pulverized coal supply valve, and the burner, the ignition device, the primary fan air volume regulating valve, the secondary fan air volume regulating valve, the SCR denitrification device and the pulverized coal supply valve are controlled by the intelligent control unit.

[0022] Optionally, the data acquisition unit includes a CO concentration sensor, a NOx concentration sensor, an O2 concentration sensor, a coal powder concentration sensor, a primary fan air volume flow sensor, a secondary fan air volume flow sensor, a furnace temperature sensor and a high temperature resistant camera device;

[0023] The primary fan air volume flow sensor detects the primary fan air volume;

[0024] The secondary fan air volume flow sensor detects the secondary fan air volume;

[0025] The NOx concentration sensor and O2 concentration sensor in the tail flue detect the O2 concentration value and NOx concentration value of the flue gas in the tail flue;

[0026] The CO concentration sensor in the furnace detects the CO concentration value generated in the furnace during the combustion process, and feeds back the detection situation to the boiler automatic control coupling module in real time. The primary fan air volume regulating valve and the secondary fan air volume regulating valve are controlled by the intelligent control unit to adjust the air intake of the combustion area in the furnace, and control the O2 concentration and the NOx concentration in the furnace within the preset concentration range;

[0027] The NOx concentration sensor at the outlet of the SCR denitrification device detects the NOx concentration value of the exhaust flue gas, and the boiler automatic control coupling module calculates and controls the amount of ammonia sprayed by the SCR denitrification device in real time, and controls the ammonia spray valve in the SCR denitrification device to avoid frequent changes in the flue gas parameters at the furnace outlet, which causes the NOx concentration at the furnace outlet to fluctuate when entering the SCR reactor, affecting the subsequent denitrification process;

[0028] The furnace temperature sensor detects the temperature change in the furnace in real time, compares the temperature model with the data model in the big database, detects the temperature condition in the furnace, and transmits the data model to the boiler automatic control coupling module. The intelligent control unit controls the control device unit according to the situation;

[0029] The high temperature resistant camera device takes real-time photos of the changes in the shape of the burner flame. The flame shape model data is compared with the data model in the big database to detect the flame shape of the burner. The data model is transmitted to the boiler automatic control coupling module, and the intelligent control unit controls the burner according to the situation.

[0030] The pulverized coal concentration sensor detects the concentration of burning pulverized coal in the furnace in real time, compares the pulverized coal concentration with the data model in the big database, and transmits the corresponding data model to the boiler automatic control coupling module. The intelligent control unit adjusts the pulverized coal supply valve according to the situation to adjust the pulverized coal supply situation.

[0031] On the other hand, an embodiment of the present disclosure provides a method for intelligent combustion control of a coal-fired boiler based on big data analysis, using the system described above, the method comprising:

[0032] When the coal-fired boiler is in use, the various operating data of the coal-fired boiler are collected and updated in real time through the data acquisition module, the coal quality that needs to be added to the coal-fired boiler is analyzed in advance through the coal quality analysis module, and the various regulating devices of the coal-fired boiler are intelligently adjusted in real time through the boiler automatic control coupling module.

[0033] In another aspect, an embodiment of the present disclosure provides an electronic device, including:

[0034] one or more processors;

[0035] A storage unit is used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors can implement the intelligent combustion control method for coal-fired boilers based on big data analysis as described above.

[0036] In another aspect, an embodiment of the present disclosure provides a computer-readable storage medium having a computer program stored thereon.

[0037] When the computer program is executed by the processor, it can implement the intelligent combustion control method of coal-fired boilers based on big data analysis as described above.

[0038] The intelligent combustion control system and method of coal-fired boilers based on big data analysis in the embodiments of the present disclosure have the following beneficial effects:

[0039] The intelligent combustion control system for coal-fired boilers based on big data analysis, the CO concentration sensor, NOx concentration sensor, O2 concentration sensor, pulverized coal concentration sensor, primary fan air volume flow sensor, secondary fan air volume flow sensor, furnace temperature sensor and high-temperature resistant camera device in the data acquisition unit can detect the CO concentration, NOx concentration, O2 concentration, pulverized coal concentration, furnace temperature, burner flame shape and fan flow in the coal-fired boiler in real time, and classify the data model, and transmit it to the data evaluation and analysis unit for comparison with the big data model, which can avoid the inability of manual real-time observation of the situation in the coal-fired boiler and improve the working efficiency of the coal-fired boiler.

[0040] The intelligent combustion control system for coal-fired boilers based on big data analysis uses the intelligent control unit and the control device unit in the boiler automatic control coupling module. The intelligent control unit controls the burner, ignition device, primary fan air volume regulating valve, secondary fan air volume regulating valve, SCR denitrification device and pulverized coal supply valve in the control device unit according to the data model of the data acquisition module. The burner, ignition device, primary fan air volume regulating valve, secondary fan air volume regulating valve, SCR denitrification device and pulverized coal supply valve are controlled through the intelligent control unit to control the coal-fired boiler in real time and improve the working efficiency of the coal-fired boiler. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 A schematic diagram of a process in a coal-fired boiler intelligent combustion control system based on big data analysis according to an embodiment of the present disclosure;

[0042] Figure 2 This is a specific flow chart of a data acquisition module in a coal-fired boiler intelligent combustion control system based on big data analysis according to another embodiment of the present disclosure;

[0043] Figure 3This is a specific flow chart of a boiler automatic control coupling module in an intelligent combustion control system for a coal-fired boiler based on big data analysis according to another embodiment of the present disclosure. DETAILED DESCRIPTION

[0044] In order to enable those skilled in the art to better understand the technical solution of the present disclosure, the present disclosure is further described in detail below in conjunction with the accompanying drawings and specific implementation methods.

[0045] like Figures 1 to 3 As shown, a coal-fired boiler intelligent combustion control system based on big data analysis includes a data acquisition module, a coal quality analysis module, and a boiler automatic control coupling module. The data acquisition module is interactively connected to the input end of the boiler automatic control coupling module, and the coal quality analysis module is interactively connected to the input end of the boiler automatic control coupling module. When the data acquisition module is used for the coal-fired boiler, various operating data of the coal-fired boiler are collected and updated in real time. When the coal-fired boiler is used, the coal quality analysis module is used to analyze the quality of the coal that needs to be added to the coal-fired boiler in advance. When the boiler automatic control coupling module is used for the coal-fired boiler, various regulating devices of the coal-fired boiler are intelligently adjusted in real time.

[0046] In this embodiment, Figure 1 As shown, the data acquisition module includes a data acquisition unit and a data evaluation and analysis unit. The data acquisition unit collects CO concentration, NOx concentration, O2 concentration, coal powder concentration, furnace temperature, burner flame shape and fan flow in the coal-fired boiler in real time, and classifies the collected data models. The data evaluation and analysis unit compares the input data model with the data model in the big database in real time and analyzes and evaluates the data.

[0047] In this embodiment, Figure 1 , Figure 2 and Figure 3 As shown, the coal quality analysis module includes a coal quality analysis unit and a coal quality evaluation analysis unit. The coal quality analysis unit analyzes the coal quality and the elements contained in the coal to be added to the coal-fired boiler, and analyzes the content of C, H, N, S, and O elements in the coal. The coal quality evaluation analysis unit compares the input data model of the coal quality and the elements contained in the coal with the data model in the big database, and analyzes and evaluates the data.

[0048] In this embodiment, Figure 1 , Figure 2 and Figure 3 As shown, the coal quality analysis unit includes an industrial analyzer and an elemental analyzer. The industrial analyzer can test the coal quality, coal powder fineness, moisture, ash and volatile matter. The elemental analyzer can analyze the C, H, O, N and S content in the coal.

[0049] In this embodiment, Figure 1 , Figure 2 and Figure 3 As shown, the boiler automatic control coupling module includes an intelligent control unit and a control device unit. The intelligent control unit controls the various components of the control device unit according to the input data model and the specific solution to the problem. The control device unit includes a burner, an ignition device, a primary fan air volume regulating valve, a secondary fan air volume regulating valve, an SCR denitrification device and a pulverized coal supply valve, and the burner, the ignition device, the primary fan air volume regulating valve, the secondary fan air volume regulating valve, the SCR denitrification device and the pulverized coal supply valve are controlled by the intelligent control unit.

[0050] In this embodiment, Figure 1 , Figure 2 and Figure 3 As shown, the data acquisition unit includes a CO concentration sensor, a NOx concentration sensor, an O2 concentration sensor, a pulverized coal concentration sensor, a primary fan air volume flow sensor, a secondary fan air volume flow sensor, a furnace temperature sensor and a high temperature camera. The primary fan air volume flow sensor detects the air volume of the primary fan. The secondary fan air volume flow sensor detects the air volume of the secondary fan. The NOx concentration sensor and the O2 concentration sensor in the tail flue detect the O2 concentration value and the NOx concentration value of the flue gas in the tail flue.

[0051] The CO concentration sensor in the furnace detects the concentration of CO generated in the furnace during the combustion process, and feeds back the detection situation to the boiler automatic control coupling module in real time. The primary fan air volume regulating valve and the secondary fan air volume regulating valve are controlled by the intelligent control unit to adjust the air intake of the combustion area in the furnace, so as to control the O2 concentration and the NOx concentration in the furnace within the preset concentration range.

[0052] The NOx concentration sensor at the outlet of the SCR denitrification device detects the NOx concentration value of the exhaust flue gas. The boiler automatic control coupling module calculates and controls the amount of ammonia injection required for the SCR denitrification device in real time, and controls the ammonia injection valve in the SCR denitrification device to avoid frequent changes in the flue gas parameters at the furnace outlet, which causes the NOx concentration at the furnace outlet to fluctuate when entering the SCR reactor, affecting the subsequent denitrification process.

[0053] The furnace temperature sensor detects the temperature changes in the furnace in real time, compares the temperature model with the big database data model, detects the temperature conditions in the furnace, and transmits the data model to the boiler automatic control coupling module. The intelligent control unit adjusts the control device unit according to the situation.

[0054] The high-temperature resistant camera device captures the changes in the burner flame shape in real time, compares the flame shape model data with the big database data model, detects the burner flame shape, and transmits the data model to the boiler automatic control coupling module. The intelligent control unit controls the burner according to the situation.

[0055] The pulverized coal concentration sensor detects the concentration of burning pulverized coal in the furnace in real time, compares the pulverized coal concentration with the data model in the big database, and transmits the corresponding data model to the boiler automatic control coupling module. The intelligent control unit adjusts the pulverized coal supply valve according to the situation to adjust the pulverized coal supply situation.

[0056] The intelligent combustion control system and method of coal-fired boilers based on big data analysis in the embodiments of the present disclosure have the following beneficial effects:

[0057] The intelligent combustion control system for coal-fired boilers based on big data analysis, the CO concentration sensor, NOx concentration sensor, O2 concentration sensor, pulverized coal concentration sensor, primary fan air volume flow sensor, secondary fan air volume flow sensor, furnace temperature sensor and high-temperature resistant camera device in the data acquisition unit can detect the CO concentration, NOx concentration, O2 concentration, pulverized coal concentration, furnace temperature, burner flame shape and fan flow in the coal-fired boiler in real time, and classify the data model, and transmit it to the data evaluation and analysis unit for comparison with the big data model, which can avoid the inability of manual real-time observation of the situation in the coal-fired boiler and improve the working efficiency of the coal-fired boiler.

[0058] The intelligent combustion control system for coal-fired boilers based on big data analysis uses the intelligent control unit and the control device unit in the boiler automatic control coupling module. The intelligent control unit controls the burner, ignition device, primary fan air volume regulating valve, secondary fan air volume regulating valve, SCR denitrification device and pulverized coal supply valve in the control device unit according to the data model of the data acquisition module. The burner, ignition device, primary fan air volume regulating valve, secondary fan air volume regulating valve, SCR denitrification device and pulverized coal supply valve are controlled through the intelligent control unit to control the coal-fired boiler in real time and improve the working efficiency of the coal-fired boiler.

[0059] On the other hand, the embodiment of the present disclosure provides a method for intelligent combustion control of coal-fired boilers based on big data analysis, using the system described above. The specific structure of the system can be referred to the relevant records above, and will not be described in detail here. The method includes:

[0060] When the coal-fired boiler is in use, the various operating data of the coal-fired boiler are collected and updated in real time through the data acquisition module, the coal quality that needs to be added to the coal-fired boiler is analyzed in advance through the coal quality analysis module, and the various regulating devices of the coal-fired boiler are intelligently adjusted in real time through the boiler automatic control coupling module.

[0061] In another aspect, an embodiment of the present disclosure provides an electronic device, including:

[0062] one or more processors;

[0063] A storage unit is used to store one or more programs. When the one or more programs are executed by the one or more processors, the one or more processors can implement the intelligent combustion control method of coal-fired boilers based on big data analysis as described above. The specific steps of the method can be referred to the relevant records above, and will not be described in detail here.

[0064] On the other hand, an embodiment of the present disclosure provides a computer-readable storage medium having a computer program stored thereon. When the computer program is executed by a processor, it can implement the intelligent combustion control method for coal-fired boilers based on big data analysis as described above. The specific steps of the method can be referred to the relevant records above, and will not be described in detail here.

[0065] The computer-readable medium may be included in the system in the embodiments of the present disclosure, or may exist independently.

[0066] Among them, computer-readable storage media can be any tangible media that contains or stores a program, which can be an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, device, or equipment. More specific examples include, but are not limited to: an electrical connection with one or more wires, a portable computer disk, a hard disk, an optical fiber, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a portable compact disk read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination thereof.

[0067] The computer-readable storage medium may also include a data signal propagated in a baseband or as part of a carrier wave, which carries a computer-readable program code, specific examples of which include but are not limited to electromagnetic signals, optical signals, or any suitable combination thereof.

[0068] It is to be understood that the above embodiments are merely exemplary embodiments used to illustrate the principles of the present disclosure, but the present disclosure is not limited thereto. For those of ordinary skill in the art, various modifications and improvements can be made without departing from the spirit and substance of the present disclosure, and these modifications and improvements are also considered to be within the scope of protection of the present disclosure.

Claims

1. An intelligent combustion control system for coal-fired boilers based on big data analysis. It is characterized in that Including data acquisition module, coal quality analysis module, boiler automatic control coupling module; The data acquisition module is interactively connected to the input end of the boiler automatic control coupling module, and the coal quality analysis module is interactively connected to the input end of the boiler automatic control coupling module; When the data acquisition module is used for coal-fired boilers, it collects and updates various operating data of coal-fired boilers in real time; When the coal quality analysis module is used in coal-fired boilers, the quality of the coal to be added to the coal-fired boiler is analyzed in advance; The boiler automatic control coupling module is used for real-time intelligent adjustment of various regulating devices of the coal-fired boiler when the coal-fired boiler is in use.

2. According to the intelligent combustion control system for coal-fired boilers based on big data analysis according to claim 1, Features: The data acquisition module includes a data acquisition unit and a data evaluation and analysis unit; The data acquisition unit collects the CO concentration, NOx concentration, and O 2 concentration, pulverized coal concentration, furnace temperature, burner flame shape and fan flow rate, and classify the collected data models; The data evaluation and analysis unit compares the input data model with the data model in the big database in real time and analyzes and evaluates the data.

3. According to the intelligent combustion control system for coal-fired boilers based on big data analysis according to claim 2, Features: The coal quality analysis module includes a coal quality analysis unit and a coal quality assessment and analysis unit; The coal quality analysis unit analyzes the coal quality and elements contained in the coal to be added to the coal-fired boiler, and analyzes the content of C, H, N, S, and O elements in the coal; The coal quality evaluation and analysis unit compares the input data model of coal quality and elements contained in the coal with the data model in the big database, and analyzes and evaluates the data.

4. According to claim 3, a coal-fired boiler intelligent combustion control system based on big data analysis, Features: The coal quality analysis unit includes an industrial analyzer and an element analyzer; Industrial analyzers can test coal quality, coal powder fineness, moisture, ash and volatile matter; The element analyzer analyzes the content of C, H, O, N and S elements in the coal.

5. According to the intelligent combustion control system for coal-fired boilers based on big data analysis according to claim 4, Features: The boiler automatic control coupling module includes an intelligent control unit and a control device unit; The intelligent control unit controls the various components of the control device unit according to the input data model and the specific solution to the problem; The control device unit includes a burner, an ignition device, a primary fan air volume regulating valve, a secondary fan air volume regulating valve, an SCR denitrification device and a pulverized coal supply valve, and the burner, the ignition device, the primary fan air volume regulating valve, the secondary fan air volume regulating valve, the SCR denitrification device and the pulverized coal supply valve are controlled by the intelligent control unit.

6. According to claim 5, a coal-fired boiler intelligent combustion control system based on big data analysis, Features: The data acquisition unit includes a CO concentration sensor, a NOx concentration sensor, an O 2 Concentration sensor, pulverized coal concentration sensor, primary fan air volume flow sensor, secondary fan air volume flow sensor, furnace temperature sensor and high temperature resistant camera device; The primary fan air volume flow sensor detects the primary fan air volume; The secondary fan air volume flow sensor detects the secondary fan air volume; NOx concentration sensor and O 2 The concentration sensor detects the O concentration of the flue gas in the tail flue. 2 concentration value and NOx concentration value; The CO concentration sensor in the furnace detects the CO concentration value generated in the furnace during the combustion process, and feeds back the detection situation to the boiler automatic control coupling module in real time. The intelligent control unit controls the primary fan air volume regulating valve and the secondary fan air volume regulating valve to adjust the air intake of the combustion area in the furnace and reduce the CO in the furnace. 2 The concentration and the NOx concentration are controlled within the preset concentration range; The NOx concentration sensor at the outlet of the SCR denitrification device detects the NOx concentration value of the exhaust flue gas, and the boiler automatic control coupling module calculates and controls the amount of ammonia sprayed by the SCR denitrification device in real time, and controls the ammonia spray valve in the SCR denitrification device to avoid frequent changes in the flue gas parameters at the furnace outlet, which causes the NOx concentration at the furnace outlet to fluctuate when entering the SCR reactor, affecting the subsequent denitrification process; The furnace temperature sensor detects the temperature change in the furnace in real time, compares the temperature model with the data model in the big database, detects the temperature condition in the furnace, and transmits the data model to the boiler automatic control coupling module. The intelligent control unit controls the control device unit according to the situation; The high temperature resistant camera device takes real-time photos of the changes in the shape of the burner flame, compares the flame shape model data with the data model in the big database, detects the flame shape of the burner, and transmits the data model to the boiler automatic control coupling module. The intelligent control unit controls the burner according to the situation; The pulverized coal concentration sensor detects the concentration of burning pulverized coal in the furnace in real time, compares the pulverized coal concentration with the data model in the big database, and transmits the corresponding data model to the boiler automatic control coupling module. The intelligent control unit adjusts the pulverized coal supply valve according to the situation to adjust the pulverized coal supply situation.

7. A method for intelligent combustion control of coal-fired boilers based on big data analysis. It is characterized in that Using the system according to any one of claims 1 to 6, the method comprises: When the coal-fired boiler is in use, the various operating data of the coal-fired boiler are collected and updated in real time through the data acquisition module, the coal quality that needs to be added to the coal-fired boiler is analyzed in advance through the coal quality analysis module, and the various regulating devices of the coal-fired boiler are intelligently adjusted in real time through the boiler automatic control coupling module.

8. An electronic device, It is characterized in that include: one or more processors; A storage unit, used to store one or more programs, which, when executed by the one or more processors, enable the one or more processors to implement the intelligent combustion control method for coal-fired boilers based on big data analysis according to claim 7.

9. A computer-readable storage medium having a computer program stored thereon, It is characterized in that When the computer program is executed by the processor, it can implement the intelligent combustion control method of coal-fired boilers based on big data analysis according to claim 7.

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