Combustion optimization and intelligent soot blowing equipment and method for chain row type garbage incinerator

Abstract

The invention relates to the technical field of garbage incinerators, in particular to chain row type garbage incinerator combustion optimization and intelligent soot blowing equipment and method.The chain row type garbage incinerator combustion optimization and intelligent soot blowing equipment comprises a boiler and a combustion area located in the boiler, ash is arranged at the bottom of the combustion area, and a superheater is further arranged in the boiler; the online detection system comprises a plurality of image detectors, a network switch and an industrial personal computer, the image detectors are arranged above the combustion area and used for collecting temperature field data of the combustion area, and the network switch is connected with the image detectors and the industrial personal computer through a gigabit network cable. Compared with the prior art, the online monitoring system is arranged, efficient collection and analysis of temperature field data are achieved, operation parameters of a combustion area are accurately regulated and controlled, the combustion efficiency and the heat utilization rate are improved, meanwhile, data support is provided for intelligent soot blowing and smoke exhaust optimization, and the operation reliability and economical efficiency of the incinerator are remarkably improved.

Description

Technical Field

[0001] The present invention relates to the technical field of waste incinerators, and in particular to a combustion optimization and intelligent soot blowing device and method for a chain-type waste incinerator. Background Art

[0002] Reasonable control of the combustion temperature of the chain-type waste incinerator is the basis for safe operation and clean and efficient operation of the boiler. At present, the classification and treatment of domestic urban domestic waste in China is poor, with many components, high water content, generally low calorific value, and large fluctuations in waste composition with the seasons, which brings a series of problems to the operation of the waste incinerator: unstable combustion, low combustion efficiency, high residual carbon content, and large fluctuations in steam load. Improving the combustion conditions of waste, improving combustion efficiency, and stabilizing steam load have become important tasks for incineration plants. Due to the characteristics of urban solid waste itself, it is not feasible to adjust the fuel itself, and after the waste incinerator is put into operation, it is not easy to transform the furnace arch. The feasible solution is to respond quickly to the combustion process of the waste, and adjust the parameters such as the grate propulsion speed and air volume in time to achieve optimized combustion control of the waste incinerator.

[0003] The combustion zone above the grate is the energy source of the entire waste incinerator. The temperature of the combustion zone needs to be monitored online as a real-time signal for combustion optimization control. In the past, methods commonly used to measure the temperature of the combustion zone include smoke temperature probes, acoustic temperature measurement, infrared temperature measurement, etc. The smoke temperature probes are limited by their temperature resistance and cannot be monitored online for a long time. In addition, the grate area of ​​the waste incinerator is relatively large, and it is difficult for smoke temperature probes to fully detect the combustion temperature above the grate; acoustic temperature measurement relies on the gas medium and can be used to measure the temperature of a certain cross-section of the furnace, but has limited effect on the complex gas-solid mixed combustion zone near the grate; the accuracy of infrared temperature measurement depends on the accuracy of the emissivity setting of the measured object, and urban solid waste will Thermal radiation is generated. The near-infrared and infrared bands include radiation from solid particles, triatomic gases such as CO2 and H2O. The gas radiation spectrum is a discontinuous spectrum line, and the radiation characteristics are extremely complex. It is difficult to estimate the spectral emissivity in this band, which brings difficulties to infrared temperature measurement in the combustion area. In addition, the source of thermal radiation from urban solid waste in the visible light band during the combustion process is mainly radiation from solid particles such as soot and fly ash. The radiation spectrum is a continuous spectrum with relatively simple radiation characteristics, which is convenient for temperature measurement based on light. In addition, although modern waste incineration plants have adopted DCS control systems, they are often mainly adjusted manually, and the combustion control technology is crude compared to that of pulverized coal boilers in power plants. Summary of the invention

[0004] In view of this, the purpose of the present invention is to propose a chain-type waste incinerator combustion optimization and intelligent soot blowing equipment and method to solve the problems of unstable combustion, low efficiency and large steam load fluctuations in waste incinerators due to the characteristics of waste and the limitations of traditional temperature measurement methods.

[0005] Based on the above purpose, the present invention provides a chain-type waste incinerator combustion optimization and intelligent soot blowing equipment, including a boiler and a combustion zone located inside the boiler, ash is arranged at the bottom of the combustion zone, and a superheater is also arranged inside the boiler;

[0006] An online detection system, which includes several image detectors, a network switch and an industrial computer. The image detector is arranged above the combustion zone to collect temperature field data of the combustion zone. The network switch connects the image detector and the industrial computer through a gigabit network cable. The industrial computer is coupled with an external power plant DCS control system to adjust the boiler primary air volume, chain speed and combustion state by real-time analysis of temperature field data.

[0007] A steam soot blower is installed in the tail flue of the boiler and is used to remove dust from the heating surface. The steam soot blower communicates wirelessly with the industrial computer and judges and triggers the soot blowing operation based on the temperature field data of the combustion zone and the exhaust gas temperature.

[0008] Preferably, a cooling air interface is fixedly mounted on the upper end of the image detector, and the cooling air interface is used to introduce compressed air to cool the image detector.

[0009] Preferably, the online monitoring system divides the combustion zone into several temperature zones, and each temperature zone is provided with a corresponding set of independent chain grates and primary fans, and the primary fans are controlled by the power plant DCS control system to adjust the air volume by controlling the primary fan frequency.

[0010] Preferably, the industrial computer (4) is used to calculate the average temperature in the combustion zone (6), and when the temperature of one area in the combustion zone (6) is lower than the lower limit of the set combustion temperature range, the primary air volume of the corresponding combustion zone (6) is increased through the power plant DCS control system, and the chain speed is adjusted to optimize combustion.

[0011] Preferably, the start-up conditions of the steam soot blower include the exhaust temperature exceeding the sum of the ideal exhaust temperature and the set margin temperature, and the soot blowing operation sequence and intensity of the steam soot blower are optimized and calculated by the industrial computer based on historical temperature data, combustion zone temperature field data and exhaust temperature.

[0012] Preferably, the image detector collects visible light images through the continuous spectral radiation characteristics of soot and fly ash, and generates the combustion zone temperature field through industrial computer processing.

[0013] Preferably, the image detector is connected to a network switch via a POE interface, and the POE interface provides power supply and data transmission functions for the image detector.

[0014] Preferably, the operation trigger of the steam soot blower is determined by an industrial computer analyzing real-time combustion zone temperature field data and exhaust temperature data. If the exhaust temperature does not reach the ideal exhaust temperature, the soot blowing operation is automatically delayed to reduce overblowing.

[0015] Preferably, the network switch supports a redundant communication protocol to establish multi-path communication between the image detector and the industrial computer.

[0016] The present application also discloses a chain-type waste incinerator combustion optimization and intelligent soot blowing method, which is applied to the above-mentioned chain-type waste incinerator combustion optimization and intelligent soot blowing equipment, and includes the following steps:

[0017] S1: The image detector collects visible light images of the combustion area through the continuous spectral radiation characteristics of soot and fly ash, and monitors the flame temperature field of the combustion area in real time; the image data is transmitted to the network switch via a Gigabit network cable;

[0018] S2: The network switch supplies power to the image detector through the POE interface and transmits the collected image data to the industrial computer at the same time. It uses redundant communication protocols to establish multi-path communication to ensure the stability and continuity of data transmission.

[0019] S3: After receiving the image data collected by the image detector, the industrial computer generates the temperature distribution of the combustion area through the temperature field processing algorithm, and displays the high temperature area, low temperature area and temperature curve change information in real time;

[0020] S4: The online detection system divides the combustion zone into multiple temperature zones, each zone corresponds to an independent primary fan and chain grate; the industrial computer calculates the average temperature field of each zone, and if the average temperature of a certain zone is lower than the lower limit of the set combustion temperature range Tint, the combustion optimization control is started;

[0021] S5: According to the real-time temperature data of each zone in the combustion zone, the industrial computer adjusts the primary fan air volume and the moving speed of the chain grate of the corresponding zone through the DCS control system; when the number of low-temperature zones is less than half, the primary air volume of the low-temperature zones is appropriately increased; if the number of low-temperature zones is more than half, the moving speed of the grate is reduced and the air volume is appropriately increased;

[0022] S6: During the combustion optimization process, the industrial computer records the grate speed, partition air volume and temperature field data, and establishes big data for the iteration of the optimization algorithm to improve the combustion efficiency and heat utilization rate;

[0023] S7: When the real-time exhaust temperature Tgas exceeds the sum of the ideal exhaust temperature T and the set margin temperature Tm, the industrial computer starts the steam soot blower; the soot blowing sequence and intensity are optimized and calculated based on the combustion zone temperature field data, historical temperature data and exhaust temperature to ensure uniform soot removal on the heated area.

[0024] Beneficial effects of the present invention:

[0025] 1. This chain-type waste incinerator combustion optimization and intelligent soot blowing equipment and method is equipped with an online detection system. The online detection system collects the temperature field data of the combustion zone in real time through a number of image detectors, divides the combustion zone into multiple independent partitions, and realizes accurate monitoring and optimization adjustment according to the temperature field data of the partitions. The system uses a network switch to transmit data to an industrial computer through a gigabit network cable. The industrial computer is coupled with the DCS control system of the power plant, and can analyze the temperature state of each partition in real time and dynamically adjust the operating parameters. When the partition temperature is lower than the set lower limit, the system adjusts the air volume by controlling the primary fan to ensure that the combustion state is restored to the ideal state. If the temperature of a large area is low, the chain grate speed will be automatically reduced to extend the combustion time, and the air volume will be appropriately increased to optimize the combustion efficiency. The temperature data of the online monitoring system is also used together with the historical operation records to establish a big data model to provide support for the optimization of the primary air volume and the chain grate speed. The image detector is equipped with a cooling air interface to prevent dust accumulation from affecting the monitoring accuracy. The system realizes efficient collection and analysis of temperature field data, accurately controls the operating parameters of the combustion zone, improves combustion efficiency and heat utilization, and provides data support for intelligent soot blowing and smoke exhaust optimization, which significantly improves the operating reliability and economy of the incinerator.

[0026] 2. This chain-type waste incinerator combustion optimization and intelligent sootblowing equipment and method, by providing a steam sootblower, starts the sootblowing operation when the flue gas temperature exceeds the sum of the ideal flue gas temperature and the margin temperature, effectively avoiding frequent or insufficient sootblowing operations, extending the service life of the equipment while maintaining thermal efficiency. By combining historical temperature data, combustion zone temperature field data and real-time flue gas temperature for calculation, the sootblowing sequence and intensity are scientifically planned to ensure uniform dust removal on the heating surface and reduce the impact of dust accumulation on heat exchange efficiency. The intelligent control of the sootblowing process can reduce human intervention, improve the automation level and stability of boiler operation, and reduce unnecessary steam consumption and operating costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0027] In order to more clearly illustrate the technical solutions in the present invention or the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings in the following description are only for the present invention. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying creative work.

[0028] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0029] Figure 2 It is a control flow diagram of the present invention.

[0030] The markings in the figure are:

[0031] 1. Image detector; 2. Gigabit network cable; 3. Network switch; 4. Industrial computer; 5. Boiler; 6. Combustion zone; 7. Cooling air interface; 9. Steam soot blower; 10. Primary fan; 11. Chain grate; 12. Superheater; 14. Ash. DETAILED DESCRIPTION

[0032] In order to make the objectives, technical solutions and advantages of the present invention more clearly understood, the present invention is further described in detail below in conjunction with specific embodiments.

[0033] It should be noted that, unless otherwise defined, the technical terms or scientific terms used in the present invention should be understood by people with ordinary skills in the field to which the present invention belongs. The "first", "second" and similar words used in the present invention do not indicate any order, quantity or importance, but are only used to distinguish different components. "Include" or "comprise" and similar words mean that the elements or objects appearing before the word include the elements or objects listed after the word and their equivalents, without excluding other elements or objects. "Connect" or "connected" and similar words are not limited to physical or mechanical connections, but may include electrical connections, whether direct or indirect. "Up", "down", "left", "right" and the like are only used to indicate relative positional relationships. When the absolute position of the described object changes, the relative positional relationship may also change accordingly.

[0034] like Figure 1 , Figure 2As shown, the chain-type waste incinerator combustion optimization and intelligent sootblowing equipment includes a boiler 5 and a combustion zone 6 located inside the boiler 5, ash 14 is arranged at the bottom of the combustion zone 6, and a superheater 12 is also arranged inside the boiler 5; an online detection system, the online detection system includes a plurality of image detectors 1, a network switch 3 and an industrial computer 4, the image detector 1 is arranged above the combustion zone 6, and is used to collect temperature field data of the combustion zone 6, the network switch 3 connects the image detector 1 and the industrial computer 4 through a gigabit network cable 2, the industrial computer 4 is coupled with an external power plant DCS control system, and adjusts the primary air volume, chain moving speed and combustion state of the boiler 5 by real-time analysis of the temperature field data; a steam sootblower 9, the steam sootblower 9 is installed in the tail flue of the boiler 5, and is used to remove dust from the heating surface, the steam sootblower 9 communicates wirelessly with the industrial computer 4, and judges and triggers the soot blowing operation based on the temperature field data of the combustion zone 6 and the exhaust gas temperature, wherein a cooling air interface 7 is fixedly installed on the upper end of the image detector 1, and the cooling air interface 7 is used to introduce compressed air to cool the image detector 1. The online monitoring system divides the combustion zone 6 into several temperature zones, and each temperature zone corresponds to a group of independent chain grates 11 and primary fans 10. The primary fans 10 control the frequency of the primary fans 10 to adjust the air volume through the power plant DCS control system. The industrial computer 4 is used to calculate the average temperature in the combustion zone 6, and when the temperature of one area of ​​the combustion zone 6 is lower than the lower limit of the set combustion temperature range, the primary air volume of the corresponding combustion zone 6 is increased through the boiler 5 power plant DCS control system, and the chain speed is adjusted to optimize the combustion;

[0035] The combustion zone 6 of the chain-type waste incinerator is divided into N partitions according to the fan arrangement, ensuring that the primary air volume of each partition can be continuously and independently adjusted by changing the fan motor frequency. After the boiler 5 is initialized and operated, the image detector 1 collects the flame images of each partition in the combustion zone 6 in real time, and imports them into the industrial computer 4 through the network switch 3 to calculate the flame temperature field of each partition in the combustion zone 6. The online monitoring system of the temperature field of the combustion zone 6 of the chain-type waste incinerator is coupled with the DCS control system. If the average temperature of the partition temperature field in the combustion zone 6 is lower than the set combustion temperature lower limit Tmin, the combustion optimization control scheme begins to intervene to adjust the operating parameters. Otherwise, the DC control system is still used. The S control system adjusts combustion. When the number of partitions where the average temperature Tave,i of the combustion zone 6 is lower than the lower limit of the set combustion temperature interval Tint is no more than half, only the primary air volume of the partitions where the average temperature is too low is increased appropriately. If the number of partitions where the average flame temperature Tave,i is lower than the lower limit of the set combustion temperature interval Tint is more than half, the movement speed of the chain grate 11 is appropriately reduced and the primary air volume of the partitions where the average temperature is too low is increased appropriately. In the process of automatic optimization control of combustion, the grate movement speed, the primary air volume of each partition, and the temperature field are collected and recorded to establish big data for online search of the primary air volume and the optimal adjustment amount of the chain grate 11.

[0036] like Figure 1 , Figure 2 As shown, the start-up conditions of the steam soot blower 9 include that the exhaust temperature exceeds the sum of the ideal exhaust temperature and the set margin temperature, and the soot blowing operation sequence and intensity of the steam soot blower 9 are optimized and calculated by the industrial computer 4 based on the historical temperature data, the temperature field data of the combustion zone 6 and the exhaust temperature;

[0037] According to the requirements of boiler 5 efficiency, set the exhaust gas temperature margin Tm, that is, the difference between the actual exhaust gas temperature Tgas and the ideal exhaust gas temperature T. Establish big data by combining the real-time average temperature and primary air volume of the combustion zone 6 imported from the online monitoring system of the temperature field of the chain-type waste incinerator combustion zone 6 with the exhaust gas temperature Tgas collected in real time imported from the DCS control system. The intelligent sootblowing control scheme determines the real-time ideal exhaust gas temperature T based on the real-time average temperature and primary air volume of the combustion zone 6 imported from the online detection system of the temperature field of the chain-type waste incinerator combustion zone 6 and the accumulated big data. When the real-time exhaust gas temperature Tgas exceeds the sum of the real-time ideal exhaust temperature T and the exhaust temperature margin Tm, start the steam sootblower 9 to perform sootblowing operation;

[0038] Starting the soot blowing operation when the exhaust gas temperature exceeds the sum of the ideal exhaust gas temperature and the margin temperature can effectively avoid frequent or insufficient soot blowing operations, extend the service life of the equipment, and maintain thermal efficiency. By combining historical temperature data, combustion zone 6 temperature field data and real-time exhaust gas temperature for calculation, the soot blowing sequence and intensity are scientifically planned to ensure uniform dust removal on the heating surface and reduce the impact of dust accumulation on heat exchange efficiency. Intelligent control of the soot blowing process can reduce human intervention, improve the automation level and stability of boiler 5 operation, and reduce unnecessary steam consumption and operating costs.

[0039] The image detector 1 collects visible light images through the continuous spectral radiation characteristics of soot and fly ash, and processes them through the industrial computer 4 to generate the temperature field of the combustion area 6;

[0040] By collecting visible light images based on the continuous spectral radiation characteristics of soot and fly ash, the temperature distribution in the combustion zone 6 can be effectively reflected, and the combustion state can be grasped in real time. The industrial computer 4 is used to process the image to generate temperature field data, and the positions of the high-temperature zone and the low-temperature zone of the combustion zone 6 are clearly defined, providing an accurate basis for the adjustment of the partition air volume and the chain speed. In addition, based on the real-time temperature field data, it can quickly respond to changes in fuel properties or loads, automatically optimize combustion, and improve the combustion efficiency and heat utilization rate of the waste incinerator.

[0041] The image detector 1 is connected to the network switch 3 via a POE interface, and the POE interface provides power supply and data transmission functions for the image detector 1;

[0042] The POE interface provides power supply and data transmission functions for the image detector 1 at the same time, avoiding the additional laying of power lines, reducing wiring complexity and construction costs, and uniformly managing the power supply and signal transmission of the image detector 1 through the network switch 3, reducing data interruptions caused by power failures and enhancing system stability. All detectors are centrally connected to the industrial computer 4 through the network switch 3 to achieve unified temperature field data collection and processing, simplifying equipment management and maintenance operations.

[0043] like Figure 1 , Figure 2 As shown, the network switch 3 supports redundant communication protocols and establishes multi-path communication between the image detector 1 and the industrial computer 4;

[0044] Through the redundant communication protocol, multi-path communication is established between the image detector 1 and the industrial computer 4 to avoid data interruption caused by a single path failure and improve the overall reliability of the system. Once a problem occurs in a communication path, the redundant communication mechanism can quickly switch to the backup path to ensure the continuity and real-time performance of the online detection system. Multi-path communication reduces the risk of single point failure, ensures the stability of the data acquisition and transmission process of the image detector 1, and maintains the integrity and accuracy of the temperature field data.

[0045] The present invention also discloses a chain-type waste incinerator combustion optimization and intelligent soot blowing method, which is applied to the above-mentioned chain-type waste incinerator combustion optimization and intelligent soot blowing equipment, and includes the following steps:

[0046] S1: The image detector 1 collects visible light images of the combustion zone 6 through the continuous spectral radiation characteristics of soot and fly ash, and monitors the flame temperature field of the combustion zone 6 in real time; the image data is transmitted to the network switch 3 through the Gigabit network cable 2;

[0047] S2: The network switch 3 supplies power to the image detector 1 through the POE interface, and transmits the collected image data to the industrial computer 4 at the same time, and establishes multi-path communication using a redundant communication protocol to ensure the stability and continuity of data transmission;

[0048] S3: After receiving the image data collected by the image detector 1, the industrial computer 4 generates the temperature distribution of the combustion zone 6 through the temperature field processing algorithm, and displays the high temperature zone, low temperature zone and temperature curve change information in real time;

[0049] S4: The online detection system divides the combustion zone 6 into multiple temperature zones, each zone corresponds to an independent primary fan 10 and a chain grate 11; the industrial computer 4 calculates the average temperature field of each zone, and if the average temperature of a certain zone is lower than the lower limit of the set combustion temperature range Tint, the combustion optimization control is started;

[0050] S5: According to the real-time temperature data of each zone of the combustion zone 6, the industrial computer 4 adjusts the air volume of the primary fan 10 and the moving speed of the chain grate 11 of the corresponding zone through the DCS control system; when the number of low-temperature zones is less than half, the primary air volume of the low-temperature zones is appropriately increased; if the number of low-temperature zones is more than half, the moving speed of the grate is reduced and the air volume is appropriately increased;

[0051] S6: During the combustion optimization process, the industrial computer 4 records the grate moving speed, partition air volume and temperature field data, and establishes big data for iteration of the optimization algorithm to improve the combustion efficiency and heat utilization rate;

[0052] S7: When the real-time exhaust gas temperature Tgas exceeds the sum of the ideal exhaust gas temperature T and the set margin temperature Tm, the industrial computer 4 starts the steam soot blower 9; the soot blowing sequence and intensity are optimized and calculated according to the temperature field data of the combustion zone 6, the historical temperature data and the exhaust gas temperature to ensure uniform soot removal on the heated area.

[0053] Compared with the existing technology, the image detector 1 collects the visible light image of the combustion zone 6 in real time and generates temperature field data, which can accurately monitor the temperature distribution of the combustion zone 6, making up for the shortcomings of small detection range and low accuracy of traditional smoke temperature probes, acoustic temperature measurement and infrared temperature measurement in waste incinerators; combined with the industrial computer 4 and the DCS control system, the temperature zones are divided online and the air volume and chain speed of the primary fan 10 are adjusted in real time to achieve accurate optimization of the low-temperature zones, effectively improve the combustion efficiency, and improve the combustion stability. At the same time, the combustion control parameters are further optimized through big data accumulation and algorithm iteration, and the adaptability of the equipment is enhanced; the steam soot blower 9 is started based on the exhaust temperature and temperature margin, and the soot blowing sequence and intensity are intelligently planned in combination with historical data and temperature field data to avoid equipment loss caused by frequent soot blowing, maintain heat exchange efficiency, and improve the economy and reliability of the boiler 5 operation.

[0054] A person skilled in the art should understand that the discussion of any of the above embodiments is merely illustrative and is not intended to imply that the scope of the present invention (including the claims) is limited to these examples. Under the concept of the present invention, the technical features in the above embodiments or different embodiments may be combined, the steps may be implemented in any order, and there are many other variations of the different aspects of the present invention as described above, which are not provided in detail for the sake of simplicity.

[0055] The present invention is intended to cover all such substitutions, modifications and variations that fall within the broad scope of the appended claims. Therefore, any omissions, modifications, equivalent substitutions, improvements, etc. made within the spirit and principles of the present invention should be included in the scope of protection of the present invention.

Claims

1. A chain-type waste incinerator combustion optimization and intelligent soot blowing equipment, characterized in that: include: A boiler (5) and a combustion zone (6) located inside the boiler (5), wherein ash (14) is arranged at the bottom of the combustion zone (6), and a superheater (12) is also arranged inside the boiler (5); An online detection system, the online detection system comprising a plurality of image detectors (1), a network switch (3) and an industrial computer (4), wherein the image detector (1) is arranged above a combustion zone (6) and is used to collect temperature field data of the combustion zone (6), the network switch (3) is connected to the image detector (1) and the industrial computer (4) via a gigabit network cable (2), the industrial computer (4) is coupled to an external power plant DCS control system, and adjusts the primary air volume, chain moving speed and combustion state of the boiler (5) by real-time analysis of the temperature field data; A steam soot blower (9) is installed in the tail flue of the boiler (5) and is used to remove dust from the heating surface. The steam soot blower (9) is in wireless communication with the industrial computer (4) and judges and triggers the soot blowing operation based on the temperature field data of the combustion zone (6) and the exhaust gas temperature.

2. The chain-type waste incinerator combustion optimization and intelligent sootblowing equipment according to claim 1 is characterized in that: A cooling air interface (7) is fixedly mounted on the upper end of the image detector (1), and the cooling air interface (7) is used to pass compressed air to cool the image detector (1).

3. The chain-type waste incinerator combustion optimization and intelligent sootblowing equipment according to claim 1 is characterized in that: The online monitoring system divides the combustion zone (6) into a plurality of temperature zones, and each of the temperature zones is provided with a corresponding set of independent chain grates (11) and a primary fan (10). The primary fan (10) is controlled by a power plant DCS control system to adjust the air volume through frequency control of the primary fan (10).

4. The chain-type waste incinerator combustion optimization and intelligent sootblowing equipment according to claim 1 is characterized in that: The industrial computer (4) is used to calculate the average temperature in the combustion zone (6), and when the temperature of one area in the combustion zone (6) is lower than the lower limit of the set combustion temperature range, the primary air volume of the corresponding combustion zone (6) is increased through the power plant DCS control system, and the chain speed is adjusted to optimize combustion.

5. The chain-type waste incinerator combustion optimization and intelligent sootblowing equipment according to claim 1 is characterized in that: The start-up conditions of the steam soot blower (9) include the exhaust temperature exceeding the sum of the ideal exhaust temperature and the set margin temperature. The soot blowing operation sequence and intensity of the steam soot blower (9) are optimized and calculated by the industrial control computer (4) based on historical temperature data, the temperature field data of the combustion zone (6) and the exhaust temperature.

6. The chain-type waste incinerator combustion optimization and intelligent sootblowing equipment according to claim 5 is characterized in that: The image detector (1) collects visible light images through the continuous spectral radiation characteristics of soot and fly ash, and processes the images through an industrial control computer (4) to generate a temperature field of the combustion zone (6).

7. The chain-type waste incinerator combustion optimization and intelligent sootblowing equipment according to claim 1 is characterized in that: The image detector (1) is connected to a network switch (3) via a POE interface, and the POE interface provides power supply and data transmission functions for the image detector (1).

8. The chain-type waste incinerator combustion optimization and intelligent sootblowing equipment according to claim 1 is characterized in that: The operation trigger of the steam soot blower (9) is determined by the industrial control computer (4) analyzing the real-time combustion zone (6) temperature field data and the exhaust gas temperature data. If the exhaust gas temperature does not reach the ideal exhaust gas temperature, the soot blowing operation is automatically delayed to reduce overblowing.

9. The chain-type waste incinerator combustion optimization and intelligent sootblowing equipment according to claim 1 is characterized in that: The network switch (3) supports a redundant communication protocol, and establishes multi-path communication between the image detector (1) and the industrial computer (4).

10. A chain-type waste incinerator combustion optimization and intelligent soot blowing method, applied to the chain-type waste incinerator combustion optimization and intelligent soot blowing equipment according to any one of claims 1 to 9, characterized in that: The following steps are involved: S1: The image detector (1) collects visible light images of the combustion zone (6) through the continuous spectral radiation characteristics of soot and fly ash, and monitors the flame temperature field of the combustion zone (6) in real time; the image data is transmitted to the network switch (3) via the Gigabit network cable (2); S2: The network switch (3) supplies power to the image detector (1) through the POE interface, and transmits the collected image data to the industrial computer (4) at the same time, and establishes multi-path communication using a redundant communication protocol to ensure the stability and continuity of data transmission; S3: After receiving the image data collected by the image detector (1), the industrial computer (4) generates the temperature distribution of the combustion zone (6) through a temperature field processing algorithm, and displays the high temperature zone, low temperature zone and temperature curve change information in real time; S4: The online detection system divides the combustion zone (6) into a plurality of temperature zones, each zone corresponding to an independent primary fan (10) and a chain grate (11); the industrial control computer (4) calculates the average temperature field of each zone, and if the average temperature of a certain zone is lower than the lower limit of the set combustion temperature range Tint, the combustion optimization control is started; S5: Based on the real-time temperature data of each zone of the combustion zone (6), the industrial computer (4) adjusts the air volume of the primary fan (10) and the moving speed of the chain grate (11) of the corresponding zone through the DCS control system; when the number of low-temperature zones is less than half, the primary air volume of the low-temperature zones is appropriately increased; if the number of low-temperature zones is more than half, the moving speed of the grate is simultaneously reduced and the air volume is appropriately increased; S6: During the combustion optimization process, the industrial computer (4) records the grate speed, zone air volume and temperature field data, and establishes big data for iteration of the optimization algorithm to improve the combustion efficiency and heat utilization rate; S7: When the real-time exhaust gas temperature Tgas exceeds the sum of the ideal exhaust gas temperature T and the set margin temperature Tm, the industrial computer (4) starts the steam soot blower (9); the soot blowing sequence and intensity are optimized and calculated based on the temperature field data of the combustion zone (6), the historical temperature data and the exhaust gas temperature to ensure that the soot on the heated area is evenly removed.

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