An ACC coordinated control method and device for Kangheng waste incinerator

Abstract

The embodiment of the present application discloses an ACC coordinated control method and device for a Kangheng waste incinerator, in which the grate is directly controlled by a DCS, and the method includes: taking a preset basic value as a starting iteration value, using a genetic algorithm to iteratively learn the speed of the feeding grate, and obtaining the average speed per unit boiler load of the feeding grate each time it runs; calculating a first speed based on the average speed per unit boiler load obtained each time the feeding grate runs and the current boiler load; using the first speed as the control speed of the feeding grate; the genetic algorithm is an algorithm for closed-loop control of the running speed per unit boiler load of the feeding grate based on the current speed of the feeding grate, the current boiler load, and the output speed of the previous iteration. Through this embodiment, communication failure points are reduced, the automation, real-time and reliability of the system are improved, and the pushing speed and incineration speed of the Kangheng waste incinerator are automatically matched and coordinated.

Description

Technical Field

[0001] The embodiments of the present application relate to the control technology of the Kangheng waste incinerator, and more particularly to an ACC coordinated control method and device for the Kangheng waste incinerator. Background Art

[0002] In the domestic waste incineration production and operation process of Shanghai Kangheng's forward-pushing moving grate incinerator, the grate is controlled by DCS (distributed control system) + PLC (programmable logic controller). However, PLC is difficult to realize complex analog control and has inherent shortcomings in self-learning, self-adaptation and intelligent development.

[0003] During the production process, the feeding grate pushes the garbage to the drying grate at a certain speed for drying, then pushes the garbage to the combustion grate at a certain speed for combustion, and then pushes the garbage to the ember grate at a certain speed. The emberized garbage is processed in other ways. The grate speed in each stage is different, and the speed of different sections should be set according to the characteristics of the garbage.

[0004] Generally, garbage burns on the grate for about 3 hours. The biggest problem is that the thickness of the garbage in the drying section cannot be detected and cannot be seen. It is necessary to wait until the combustion grate stage or even the ember grate stage to find out whether there is too much or too little garbage. Among them, when the feeding speed and the combustion grate speed do not match, it will cause too much or too little garbage. When the moisture content of the garbage is high, the drying time is long and the combustion is slow; when the moisture content is low, the drying time is short and the combustion time is short, which will also affect the amount of garbage. In short, the calorific value, moisture content, ash content, etc. of the garbage will affect stable combustion and power generation. If the pushing speed is fast, the material will pile up, resulting in incomplete combustion of raw materials; if the pushing speed is slow, the material will be broken and the load cannot be increased. This is the biggest difficulty of the automatic ACC (automatic combustion control system of the garbage incineration grate) of the garbage grate.

[0005] Therefore, the current degree of automation of the grate is relatively low. Due to garbage reasons, it is basically manually controlled, ACC automatic control has not been achieved, the frequency of manual intervention is high, and the feeding grate and the combustion grate cannot be automatically coordinated and controlled at the same time. Summary of the invention

[0006] The embodiment of the present application provides an ACC coordinated control method and device for a Kangheng waste incinerator, which can reduce communication failure points, improve the automation, real-time and reliability of the system, and enable automatic matching and coordinated control of the pushing speed and incineration speed of the Kangheng waste incinerator.

[0007] The embodiment of the present application provides an ACC coordinated control method applicable to a Kangheng waste incinerator, wherein the grate of the Kangheng waste incinerator is directly controlled by a distributed control system DCS, and the grate includes a feeding grate; the method may include:

[0008] Taking a preset basic value as a starting iteration value, adopting a preset genetic algorithm to iteratively learn the speed of the feeding grate, obtaining an average speed of the feeding grate per unit boiler load each time the feeding grate is operated, and calculating a first speed according to the obtained average speed of the feeding grate per unit boiler load each time the feeding grate is operated and the current boiler load; the basic value is obtained according to the average speed of the feeding grate within a first preset time period before the current moment and a preset load target;

[0009] Using the first speed as the control speed of the feeding grate;

[0010] The genetic algorithm is an algorithm for performing closed-loop control on the operating speed of the feeding grate per unit boiler load according to the current speed of the feeding grate, the current boiler load and the output speed of the last iteration.

[0011] In an exemplary embodiment of the present application, the iterative learning of the speed of the feeding grate by using a preset genetic algorithm to obtain the average speed of the feeding grate per unit boiler load each time the feeding grate is running may include:

[0012] Check whether the input speed signal is normal;

[0013] When the input speed signal is abnormal, reacquire the speed signal; when the input speed signal is normal, detect whether the current working condition is normal;

[0014] When the current operating condition is normal, the input speed signal is input into the preset iterative calculation formula, and the calculation result is used as the speed average value of the unit boiler load each time the feeding grate is operated, and the speed average value of the unit boiler load each time the feeding grate is operated is used as the input for the next iteration; when the current operating condition is abnormal, the pre-acquired speed experience value is input into the iterative calculation formula, and the calculation result is used as the speed average value of the unit boiler load each time the feeding grate is operated.

[0015] In an exemplary embodiment of the present application, the grate further includes a drying grate, a combustion grate and a burnout grate, and the method may further include:

[0016] Detecting the temperature of the flue gas above the burnout grate;

[0017] The operating speed of the burnout grate or all of the grates is adjusted according to the difference between the temperature of the flue gas above the burnout grate and the preset target temperature of the flue gas above the burnout grate.

[0018] In an exemplary embodiment of the present application, adjusting the operating speed of the burnout grate or all of the grates according to the difference between the temperature of the flue gas above the burnout grate and the preset target temperature of the flue gas above the burnout grate may include:

[0019] When the temperature of the flue gas above the burnout grate is higher than the target temperature of the flue gas above the burnout grate, the operating speed of the burnout grate or all of the grates is controlled to be reduced accordingly according to different values ​​higher than the target temperature of the flue gas above the burnout grate;

[0020] When the temperature of the flue gas above the burnout grate is lower than the target temperature of the flue gas above the burnout grate, the operating speed of all the grates is controlled to increase accordingly according to different values ​​below the target temperature of the flue gas above the burnout grate.

[0021] In an exemplary embodiment of the present application, the method may further include:

[0022] Compare the boiler load with a preset upper load target limit;

[0023] When the boiler load is higher than or equal to the difference between the load target upper limit and the first preset load value, the operating speed of all the grates is correspondingly reduced according to the difference between the load target upper limit and the first preset load value;

[0024] When the boiler load is lower than the difference between the load target upper limit and the second preset load value, the temperature of the flue gas above the burnout grate is lower than the target temperature of the flue gas above the burnout grate, and the oxygen content of the boiler flue gas is higher than the preset target oxygen content lower limit, the operating speed of all the grates is increased accordingly according to the difference between the load target upper limit and the second preset load value.

[0025] In an exemplary embodiment of the present application, the magnitude of the first preset load value is negatively correlated with the increased operating speed of all the grates;

[0026] The magnitude of the second preset load value is positively correlated with the reduced operating speed of all the grates.

[0027] In an exemplary embodiment of the present application, the method may further include:

[0028] When the boiler load is higher than the load target upper limit, or the temperature of the lower section of the boiler is greater than a first preset temperature threshold, all of the grates are controlled to stop running, and the feeding speed is reduced to a preset feeding speed lower limit.

[0029] In an exemplary embodiment of the present application, the method may further include:

[0030] When the boiler load is lower than the difference between the load target upper limit and the third preset load value, and the boiler lower end temperature is lower than the second preset temperature threshold, the burnout grate, the combustion grate and the drying grate are controlled to automatically start in sequence at intervals of a second preset time.

[0031] In an exemplary embodiment of the present application, the method may further include:

[0032] The quality of induced draft is judged based on multiple negative pressure signals at the top of the furnace;

[0033] When the induced air quality meets the preset requirements, the multiple negative pressure signals are selected;

[0034] The preset fan frequency converter is automatically adjusted according to the negative pressure signal obtained by the selection; the fan frequency converter includes a primary fan frequency converter and a secondary fan frequency converter.

[0035] In an exemplary embodiment of the present application, the method may further include:

[0036] According to the oxygen content in the furnace and the rising and falling trend of the oxygen content, control the increase and decrease of the secondary fan inverter command; or,

[0037] The increase or decrease of the secondary fan inverter instruction is controlled according to the temperature of the lower end of the furnace, the rising and falling trend direction of the temperature of the lower end of the furnace, and the oxygen content of the furnace.

[0038] An embodiment of the present application provides an ACC coordination control device suitable for a Kangheng waste incinerator, which may include a processor and a computer-readable storage medium, wherein the computer-readable storage medium stores instructions. When the instructions are executed by the processor, the ACC coordination control method suitable for a Kangheng waste incinerator is implemented.

[0039] Compared with the related art, the grate of the Kangheng waste incinerator described in the embodiment of the present application is directly controlled by the distributed control system DCS, and the grate includes a feeding grate; the method may include: taking a preset basic value as the starting iteration value, using a preset genetic algorithm to iteratively learn the speed of the feeding grate, and obtaining the speed average value of the unit boiler load when the feeding grate is running each time; the basic value is obtained according to the average speed of the feeding grate within the first preset time before the current moment and the preset load target; the first speed is calculated according to the obtained average speed of the unit boiler load when the feeding grate is running each time and the current boiler load; the first speed is used as the control speed of the feeding grate; wherein the genetic algorithm is an algorithm for closed-loop control of the running speed of the unit boiler load of the feeding grate according to the current speed of the feeding grate, the current boiler load and the output speed of the previous iteration. Through this embodiment, the communication failure points are reduced, the automation, real-time and reliability of the system are improved, and the pushing speed and the incineration speed of the Kangheng waste incinerator are automatically matched and coordinated.

[0040] Other features and advantages of the present application will be described in the following description, and partly become apparent from the description, or be understood by implementing the present application. Other advantages of the present application can be realized and obtained by the schemes described in the description and the drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] The accompanying drawings are used to provide an understanding of the technical solution of the present application and constitute a part of the specification. Together with the embodiments of the present application, they are used to explain the technical solution of the present application and do not constitute a limitation on the technical solution of the present application.

[0042] Figure 1 This is a flow chart of the ACC coordinated control method applicable to the Kangheng waste incinerator in an embodiment of the present application;

[0043] Figure 2 A schematic diagram of a genetic algorithm according to an embodiment of the present application;

[0044] Figure 3 This is a block diagram of the ACC coordination control device suitable for Kangheng waste incinerator according to an embodiment of the present application. DETAILED DESCRIPTION

[0045] The present application describes multiple embodiments, but the description is exemplary rather than restrictive, and it is obvious to those skilled in the art that there may be more embodiments and implementations within the scope of the embodiments described in the present application. Although many possible feature combinations are shown in the drawings and discussed in the specific embodiments, many other combinations of the disclosed features are also possible. Unless specifically limited, any feature or element of any embodiment may be used in combination with any other feature or element in any other embodiment, or may replace any other feature or element in any other embodiment.

[0046] The present application includes and contemplates combinations of features and elements known to those of ordinary skill in the art. The embodiments, features and elements disclosed in the present application may also be combined with any conventional features or elements to form a unique invention scheme defined by the claims. Any features or elements of any embodiment may also be combined with features or elements from other invention schemes to form another unique invention scheme defined by the claims. Therefore, it should be understood that any feature shown and / or discussed in the present application may be implemented individually or in any appropriate combination. Therefore, except for the limitations made according to the attached claims and their equivalents, the embodiments are not subject to other restrictions. In addition, various modifications and changes may be made within the scope of protection of the attached claims.

[0047] In addition, when describing representative embodiments, the specification may have presented the method and / or process as a specific sequence of steps. However, to the extent that the method or process does not rely on the specific order of the steps described herein, the method or process should not be limited to the steps of the specific order described. As will be understood by those of ordinary skill in the art, other sequences of steps are also possible. Therefore, the specific sequence of the steps set forth in the specification should not be interpreted as a limitation to the claims. In addition, the claims for the method and / or process should not be limited to the steps of performing them in the order written, and those skilled in the art can easily understand that these sequences can be changed and still remain within the spirit and scope of the embodiments of the present application.

[0048] The embodiment of the present application provides an ACC coordinated control method applicable to a Kangheng waste incinerator, wherein the grate of the Kangheng waste incinerator is directly controlled by a distributed control system DCS, and the grate includes a feeding grate; Figure 1 As shown, the method may include steps S101-S102:

[0049] S101, using a preset basic value as a starting iteration value, using a preset genetic algorithm to iteratively learn the speed of the feeding grate, obtaining an average speed of the feeding grate per unit boiler load each time the feeding grate is operated, and calculating a first speed according to the obtained average speed of the feeding grate per unit boiler load each time the feeding grate is operated and the current boiler load; the basic value is obtained according to the average speed of the feeding grate within a first preset time period before the current moment and a preset load target;

[0050] S102, using the first speed as the control speed of the feeding grate;

[0051] The genetic algorithm is an algorithm for performing closed-loop control on the running speed of the feeding grate according to the current speed of the feeding grate and the output speed of the last iteration.

[0052] First, some of the embodiments of the present application are explained:

[0053] Garbage incinerator: A thermal power equipment that treats solid waste by incineration. According to the incineration method, it can be divided into: mechanical grate incinerator, fluidized bed incinerator, rotary kiln incinerator, pyrolysis gasification furnace, etc.

[0054] Grate: The part of the boiler that piles solid fuel and makes it burn effectively, including feeding grate and burning grate. The burning grate includes drying grate, burning grate and ember grate. The upper grate generally refers to the drying grate and the burning grate, and the lower grate refers to the ember grate.

[0055] ACC: The automatic combustion control system of the waste incineration grate is referred to as the ACC system.

[0056] Automatic combustion control system: a general term for analog control systems that adapt the energy of fuel combustion in the furnace to the needs of boiler load and maintain safe, stable and economical operation of the boiler. It usually includes fuel quantity control module, air supply volume control module, induced draft control module, temperature control module, load control module, etc.

[0057] DCS: It is the abbreviation of Distributed Control System. It is a multi-level computer system composed of process control level and process monitoring level with communication network as the link. It integrates 4C technologies such as computer, communication, display and control. Its basic idea is decentralized control, centralized operation, hierarchical management, flexible configuration and convenient configuration.

[0058] The grate arrangement in Kangheng's reverse thrust reciprocating grate waste incinerator includes: 2 thrusters (used for feeding, which can be called feeding grates) + 2 drying grates + 2 combustion grates + 2 ember burning grates, and a 12MW generator set.

[0059] Kangheng's reverse reciprocating grate is directly controlled by PLC, and the waste heat boiler, steam turbine and other auxiliary systems are monitored by DCS; PLC and DCS are connected by communication, and all PLC monitoring is completed in the DCS system. The ACC control system is designed in PLC, but due to the uncertainty of garbage moisture and calorific value, ACC cannot be put into closed-loop control.

[0060] The DCS system controls the on-site grate equipment through PLC. The PLC and DCS are connected by communication, which can meet the conventional logical control of feeding and incineration grates, but cannot achieve automatic control of the entire system such as feeding and incineration, load, furnace temperature, feeding, and air distribution. It requires frequent manual intervention by operating personnel, and there are large lags and uncertain factors.

[0061] Previously, referring to the design of the grate manufacturer and PLC, when the moisture and calorific value of the garbage were stable, the pusher and incineration grates could only be put into semi-automatic operation, and the coordinated control of the pusher and incineration grates could not be achieved. When the calorific value, moisture, and ash content of the garbage change greatly, the load, furnace temperature, main steam temperature, etc. fluctuate greatly. The subsystems of these values ​​also frequently exit the automatic mode and require manual intervention, which cannot meet production needs. The traditional control scheme is to use a single-loop PID adjustment after decoupling. Each loop has a controlled parameter for deviation adjustment. The main steam temperature is only adjusted in cascade according to the temperature deviation, the drum water level is adjusted in cascade according to the three impulses, the oxygen deviation adjusts the air supply frequency conversion, the negative pressure deviation adjusts the induced draft frequency conversion, the load deviation adjusts the incineration grate and feeding grate speed, and adjusts the primary air volume.

[0062] Since domestic waste has the characteristics of complex and uneven composition, high moisture content, high ash content, and low calorific value, and the waste incinerator control system controls the on-site equipment through PLC, and the communication connection method is adopted between PLC and DCS, the current waste incinerator control system has at least the following disadvantages: (1) When DCS+PLC control is adopted, there is communication delay and communication interruption in the communication interface, the incineration efficiency is low, the working condition stability is poor, and the waste burning condition is not ideal; (2) When DCS+PLC control is adopted, PLC is difficult to realize complex analog control, and has inherent disadvantages in self-learning, self-adaptation, and intelligent development; (3) The traditional control scheme can also obtain good control when the calorific value, moisture, and ash content of the waste are relatively stable, but when the calorific value, moisture, ash content and other factors fluctuate greatly, the traditional decoupling control method will lose sight of one thing while focusing on another, and cannot meet the long-term automatic stable control. For example, when the calorific value of garbage fluctuates, the furnace temperature fluctuates greatly, causing large fluctuations in the main steam temperature and large lags. The water spray cooling frequently integrates and saturates, and switches on and off in a large range, causing large temperature fluctuations. When the air supply is used to adjust the oxygen content, the furnace temperature cannot be adjusted at the same time. When the furnace temperature is high, the air supply must be turned on to help cool it down. When the CO (carbon monoxide) emission value is high, the air supply must also be turned on. For another example, the load deviation requires the primary air to be adjusted, and the primary air is divided into sections. The air volume of each section must be allocated differently based on the respective grate tile temperature, the wind pressure of each section at different openings, the ember temperature, etc., and also based on the length of the fire bed, the ignition point, the calorific value of the garbage, etc. The garbage is poor, the combustion is not good, and the load is low. The impulse cannot be solved by wind and grate speed alone. It is also necessary to match the grate feed and the incineration speed, and to coordinate the control of multiple parameters and multiple actuators to solve the control problem.

[0063] In the exemplary embodiment of the present application, in response to the above problems, the embodiment of the present application adopts the following solutions: (1) The PLC system of the on-site grate is cancelled, and the on-site equipment is directly connected to the DCS system, and the process is directly monitored and logically controlled in the DCS, reducing communication failure points and improving the real-time and reliability of the system; (2) In the DCS, based on big data analysis and system self-learning, adaptive control technology is adopted to optimize operation, eliminate the lag and inaccuracy caused by manual operation, improve the level of automatic control, the stability of combustion conditions and the incineration efficiency, and make it achieve the purpose of intelligence and adaptation, so as to realize the real automatic coordinated control of the combustion system. (3) Establish a database to store massive historical data, enhance the anti-interference ability, realize the full range of automatic control of load, furnace temperature, feeding, incineration, air distribution, etc., overcome the change of garbage calorific value and internal disturbance, and quickly respond to the needs of external load changes.

[0064] In an exemplary embodiment of the present application, the ACC coordinated control system of the Kangheng waste incinerator may include 9 sub-functions:

[0065] 1. Automatic feedwater (steam drum water level) control, introducing machine self-learning of long-term main steam flow and feedwater flow deviation, limiting the main adjustment output range, avoiding feedwater integral saturation, and more stable than traditional methods;

[0066] 2. Main steam temperature control (primary and secondary cooling water) introduces the machine self-learning of the average temperature after long-term water spraying, limits the main control output, avoids integral saturation, avoids excessive or insufficient water spraying, and coupled with temperature change reverse identification and fast return fuzzy control, the temperature is more stable than the traditional method;

[0067] 3. Furnace negative pressure control is relatively simple and coordinated with air supply control;

[0068] 4. Oxygen content / furnace temperature control (secondary air), introducing oxygen content, furnace temperature, CO (carbon monoxide) emissions, three measured parameters are integrated fuzzy control secondary fan inverter;

[0069] 5. Burnout control: adjust the grate speed and primary air volume of the burnout section according to the burnout temperature;

[0070] 6. Feed grate action speed control, introduce fuzzy algorithms for various special cases (for example, the genetic algorithm of the embodiment of the present application), and the machine self-learns the feeding grate speed required for different garbage, and performs fuzzy control according to the load, the pressure of the first wind chamber and the tile temperature;

[0071] 7. Control the speed and frequency of the incineration grate, introduce fuzzy algorithms for various special situations, and learn the incineration grate speed required by different garbage by machine self-learning, and perform fuzzy control according to the load and burning temperature;

[0072] 8. Flue gas carbon monoxide index control;

[0073] 9. Main steam flow (load) control: adjust the feeding grate speed, combustion grate speed and primary air flow according to the load deviation.

[0074] It is known that the purpose of garbage incineration is to burn as much garbage as possible to solve environmental problems; to generate as much electricity as possible to obtain the maximum power generation benefits. The operator will adjust the feeding grate speed and the turning speed of the drying grate according to the power generation load and environmental protection indicators to achieve the amount of garbage incinerated and the amount of power generated. However, the speed of these two objects (feeding grate and drying grate) is not continuous, but intermittent (stop and go). The feeding grate determines the total advancement speed by the advancement distance (or time) and the interval time each time (the speed determines the amount of garbage incinerated); the incineration grate determines the walking speed of the garbage on the grate by adjusting the action time interval of the grate. The shorter the interval, the faster it walks, and the longer the interval, the slower it walks. The calorific value, moisture, ash content, composition, etc. of the garbage cannot be measured, and the thickness of the garbage on the incineration grate cannot be measured, resulting in the operation can only be manually adjusted according to the combustion results. However, due to the long incineration time of the garbage, the result is delayed, resulting in untimely adjustment, and there are many uncertainties. It is often difficult for ACC to be invested in a long-term and stable manner.

[0075] The feeding grate first pushes the garbage to the drying section grate. If there is too much garbage, the grate temperature in the drying section will decrease (caused by the long drying time and the backward movement of the ignition point). If there is less garbage, the grate temperature in the drying section will increase (caused by early combustion and the forward movement of the flame). The amount of water also affects the temperature of the drying grate, and the amount of garbage cannot be judged entirely by this temperature. When the calorific value of the garbage is high and the moisture is low, the combustion will be faster and the combustion time will be shorter; when the calorific value is low and the moisture is high, the combustion will be slower and the combustion time will be longer; the operator will manually adjust the pushing speed and the speed of the incineration grate according to the power generation load, the calorific value and moisture of the garbage. If there is too much garbage (thick), the flame length on the grate will become longer, and it may be incompletely burned in the burning section and produce raw materials; if there is less garbage, the flame length on the grate will become shorter, and even the flame will be discontinuous. This will result in insufficient amount of garbage to be burned and the load cannot be carried up, affecting economic operation. When burning on the incineration grate, it is required to burn out, which can be judged by the temperature of the burning section and the flame video. The temperature of the burning section can show whether the thickness of the garbage on the burnout grate is reasonable, which is also a basis for judging the amount of garbage. Of course, the boiler load and whether it reaches the design value are also an important basis for judging the amount of garbage.

[0076] In the exemplary embodiment of the present application, from the above influencing factors, the main problem is to match the boiler load with the speed of the incineration grate. As long as the pushing speed matches the speed of the incineration grate, the subsequent control is relatively simple. The calorific value, moisture, ash content, composition, garbage thickness, etc. of the garbage cannot be measured. Through big data analysis, their speed matching relationship range can be obtained. Here, the embodiment of the present application introduces a genetic algorithm to perform big data statistics and machine learning of the grate speed. First, the average grate speed of the grate in the past 8 hours is obtained, and the average grate speed is multiplied by the preset load target as the basic value. The basic value is used as an input speed for the initial iterative learning. Based on the basic value and the preset iterative calculation formula, when the input speed signal and the working conditions are normal, the running speed of the grate at the next moment can be iteratively calculated according to the current speed of the grate, so as to realize closed-loop control of the running speed each time the grate is running. The running speed obtained based on iterative learning can perform basic control on the grate.

[0077] In an exemplary embodiment of the present application, the base value is obtained according to the average value of the grate speed in the first preset time period before the current moment and the preset load target. Specifically, the base value can be equal to the product of the average value of the grate speed in the first preset time period before the current moment and the preset load target.

[0078] In an exemplary embodiment of the present application, the first preset time period may include: 8-10 hours. For example, 8 hours is selected, that is, the base value may be the load target equal to the average grate speed within 8 hours from the current moment.

[0079] In an exemplary embodiment of the present application, Figure 2 As shown, the iterative learning of the speed of the feeding grate by using a preset genetic algorithm to obtain the average speed per unit boiler load when the feeding grate is running each time may include:

[0080] Check whether the input speed signal is normal;

[0081] When the input speed signal is abnormal, reacquire the speed signal; when the input speed signal is normal, detect whether the current working condition is normal;

[0082] When the current operating condition is normal, the input speed signal is input into the preset iterative calculation formula, and the calculation result is used as the speed average value of the unit boiler load each time the feeding grate is operated, and the speed average value of the unit boiler load each time the feeding grate is operated is used as the input for the next iteration; when the current operating condition is abnormal, the pre-acquired speed experience value is input into the iterative calculation formula, and the calculation result is used as the speed average value of the unit boiler load each time the feeding grate is operated.

[0083] In an exemplary embodiment of the present application, the genetic algorithm may be written in ST (Structured Text Language) text structure language and encapsulated into function blocks for other program calls.

[0084] In an exemplary embodiment of the present application, detecting whether the input speed signal is normal may include but is not limited to detecting the signal quality (DQ). If the input signal is a bad value, the bad value will not be added to the data statistical process of the genetic algorithm.

[0085] In an exemplary embodiment of the present application, whether the current operating condition is normal can be indicated by a calculation switch SW (the calculation or reset of statistical values ​​can be manually triggered). For example, if the current operating condition is normal, the value of the calculation switch can be set to true, and the speed output from the previous iteration is used as the input for this iteration, and the speed of the feeding grate is iteratively learned; if the current operating condition is abnormal, the value of the calculation switch can be set to not true, and the preset experience value is used as the input for this iteration, and the speed of the feeding grate is no longer iteratively learned.

[0086] In an exemplary embodiment of the present application, specifically, it can be set that when the calculation switch SW is 1, the input of the iteration is assigned to the experience value, and when the calculation switch SW is 0, the input of the iteration is assigned to the output of the previous iteration to continue iterative learning.

[0087] In an exemplary embodiment of the present application, the preset iterative calculation formula may include but is not limited to: O1 = [RT*120*Y+M*(I1 / I2)] / (RT*120+M);

[0088] Among them, O1 is the calculation result, that is, the average speed of the unit boiler load when the feeding grate is running each time, as the output value; Q2 is the first speed; I1 is the current speed input; I2 is the current boiler load input; I3 is the preset target load; RT is the reverse time, that is, the first preset time, which represents the time range to be counted, and the speed value of how long to be counted backward; M represents the weight value of the current speed, the default value is 1 (that is, the weight value of the current speed is 1 in general). When M is large, the weight of the current speed is large, and the statistics will quickly approach the current speed. The M can be It can be adjusted according to different needs, and there is no limit on the specific value; Y is the input initial calculation value, which can be assigned different values ​​according to different situations. For example, when performing the first iterative learning, the initial calculation value is the aforementioned basic value (for example, the product of the average grate speed within 8 hours from the current moment and the load target). In the normal iterative process, the initial calculation value is the first speed output by the previous iteration. If the current operating condition is abnormal, the initial calculation value is a preset empirical value, which can be obtained by multiplying the grate speed empirical value by the load target empirical value.

[0089] In an exemplary embodiment of the present application, speed learning of the incineration grate is introduced through a genetic algorithm. Through this speed learning, closed-loop control of the current operation of the grate is achieved based on the current speed of the grate (referring to the speed at which the grate starts to run when it is running) and the operating speed of the last grate. The operating speed of the grate at the next moment when it moves can be obtained, thereby achieving automatic coordinated control of the grate.

[0090] In an exemplary embodiment of the present application, the feeding grate speed (i.e., the feeding speed) is generated by backward statistical learning for 8 hours to obtain the average feeding grate speed for the past 8 hours; the incineration grate speed can be obtained based on the corresponding relationship between the preset feeding grate speed and the incineration grate speed.

[0091] In an exemplary embodiment of the present application, the control of the fire bed length is described below to assist in the feed rate control.

[0092] In an exemplary embodiment of the present application, the grate further includes a drying grate, a combustion grate and a burnout grate, and the method may further include:

[0093] Detecting the temperature of the flue gas above the burnout grate;

[0094] The operation time of the burnout grate or all the grates is adjusted according to the difference between the temperature of the flue gas above the burnout grate and the preset target temperature Te of the flue gas above the burnout grate.

[0095] In an exemplary embodiment of the present application, the target temperature Te of the flue gas above the burnout grate can be set in advance. Since the calorific value of garbage is different, the target temperature Te of the flue gas above the burnout grate can be modified according to the calorific value of garbage during operation. The initial setting value of the target temperature Te of the flue gas above the burnout grate can include but is not limited to: 800°C-900°C, for example, 850°C can be selected.

[0096] In an exemplary embodiment of the present application, for two burnout grates, a temperature with a larger flue gas temperature above the burnout grate may be selected to be compared with the target flue gas temperature Te above the burnout grate (ie, high selection).

[0097] In an exemplary embodiment of the present application, adjusting the operating speed of the burnout grate or all the grates according to the difference between the temperature of the flue gas above the burnout grate and the preset target temperature Te of the flue gas above the burnout grate may include:

[0098] When the temperature of the flue gas above the burnout grate is higher than the target temperature Te of the flue gas above the burnout grate, the operating speed of the burnout grate or all the grates is controlled to be reduced accordingly according to different values ​​higher than the target temperature Te of the flue gas above the burnout grate;

[0099] When the temperature of the flue gas above the burnout grate is lower than the target temperature Te of the flue gas above the burnout grate, the operating speed of all the grates is controlled to increase accordingly according to different values ​​below the target temperature Te of the flue gas above the burnout grate.

[0100] In an exemplary embodiment of the present application, the greater the value by which the temperature of the flue gas above the burnout grate is higher than the target temperature Te of the flue gas above the burnout grate, the higher the operating speed of the burnout grate or all of the grates; the greater the value by which the temperature of the flue gas above the burnout grate is lower than the target temperature Te of the flue gas above the burnout grate, the lower the operating speed of all of the grates.

[0101] In an exemplary embodiment of the present application, since the lengths of all grates remain unchanged, in order to adjust the speed of the grates, the running time of the garbage on each grate can be adjusted.

[0102] In an exemplary embodiment of the present application, for example:

[0103] 11. When the temperature of the flue gas on the upper part of the burnout grate is higher than the target temperature Te of the flue gas on the upper part of the burnout grate and the temperature of the flue gas on the upper part of the burnout grate is rising continuously, an alarm may be issued;

[0104] 12. When the temperature of the flue gas on the upper part of the burnout grate is higher than (the target temperature of the flue gas on the upper part of the burnout grate Te+25°C), the operation time of the burnout grate can be controlled to reduce the preset time, for example, 5S;

[0105] 13. When the temperature of the flue gas on the upper part of the burnout grate is higher than (the target temperature of the flue gas on the upper part of the burnout grate Te+50°C), the operation time of all grates can be controlled to further reduce the preset time, for example, further reduce it by 5S, that is, reduce it by 10S in total;

[0106] 14. When the temperature of the flue gas on the upper part of the burnout grate is higher than (the target temperature of the flue gas on the upper part of the burnout grate Te+75°C), the operation time of all grates can be controlled to further reduce the preset time, for example, further reduce it by 5S, that is, reduce it by 15S in total;

[0107] 15. When the temperature of the flue gas on the upper part of the burnout grate is higher than (the target temperature of the flue gas on the upper part of the burnout grate Te+100℃), the burnout grate can be controlled to stop running (it will stop only when both burnout grates are in place); if the boiler load is higher than (the upper limit of the load target -1t / h) at this time, the drying grate and the combustion grate can be controlled to stop running, and the feeding speed is reduced to the lower limit of the feeding speed when the drying grate stops, or the control strategy can be executed according to the logic in Article 24 under the condition of high boiler load as described below; the operator can also perform manual intervention without exiting ACC automatic;

[0108] 16. When the temperature of the flue gas on the upper part of the burnout grate is lower than (the target temperature of the flue gas on the upper part of the burnout grate Te-50°C), the temperature of the flue gas on the upper part of the burnout grate is constantly decreasing, and the operation time of all grates can be controlled to increase the preset time, for example, 5S;

[0109] 17. When the temperature of the flue gas on the upper part of the burnout grate is lower than (the target temperature of the flue gas on the upper part of the burnout grate Te-75°C), the temperature of the flue gas on the upper part of the burnout grate is constantly decreasing, and the operation time of all grates can be controlled to increase the preset time, for example, 5S; that is, a total of 10S is increased;

[0110] 18. When the temperature of the flue gas above the burnout grate is lower than (the target temperature of the flue gas above the burnout grate Te-100°C), the temperature of the flue gas above the burnout grate is continuously decreasing, and the operation time of all grates can be controlled to increase the preset time, for example, 5S; that is, a total increase of 15S.

[0111] In an exemplary embodiment of the present application, the method may further include:

[0112] Compare the boiler load with the preset load target upper limit Fh;

[0113] When the boiler load is higher than or equal to the difference between the load target upper limit Fh and the first preset load value, the operating speed of all the grates is correspondingly reduced according to the difference between the load target upper limit Fh and the first preset load value;

[0114] When the boiler load is lower than the difference between the load target upper limit Fh and the second preset load value, the temperature of the flue gas above the burnout grate is lower than the target temperature Te of the flue gas above the burnout grate, and the oxygen content of the boiler flue gas is higher than the preset target oxygen content lower limit, the operating speed of all the grates is increased accordingly according to the difference between the load target upper limit Fh and the second preset load value.

[0115] In an exemplary embodiment of the present application, the magnitude of the first preset load value is negatively correlated with the increased operating speed of all the grates; that is, the larger the first preset load value, the higher the increased operating speed of all the grates;

[0116] The magnitude of the second preset load value is positively correlated with the reduced operating speed of all the grates; that is, the smaller the second preset load value is, the lower the increased operating speed of all the grates is.

[0117] In the exemplary embodiment of the present application, the magnitudes of the first preset load value and the second preset load value can be defined according to different application scenarios, processes and requirements, and their detailed values ​​are not limited here.

[0118] In an exemplary embodiment of the present application, the extent to which the oxygen content deviates from the target oxygen content lower limit can be defined according to different application scenarios, processes and requirements. The detailed value is not limited here. For example, 0.5% can be selected.

[0119] In an exemplary embodiment of the present application, for example, the following control strategy may be executed when the boiler load is high:

[0120] 21. When the boiler load is higher than (load target upper limit Fh-1.3t / h (tons / hour)), the operation time of all grates can be automatically increased by a preset time, for example, 5S; (i.e., increase the time and reduce the speed)

[0121] 22. When the boiler load is higher than (load target upper limit Fh-1.0t / h), the operation time of all grates can be automatically increased by the preset time, for example, 5S, that is, a total increase of 10S;

[0122] 23. When the boiler load is higher than (load target upper limit Fh-0.7t / h), the operation time of all grates can be automatically increased by the preset time, for example, 5S, that is, a total increase of 15S;

[0123] 24. When the boiler load is higher than (load target upper limit Fh-0.4t / h), the operation time of all grates can be automatically increased by the preset time, for example, 5S, which means a total increase of 20S.

[0124] In an exemplary embodiment of the present application, the method may further include:

[0125] When the boiler load is higher than the load target upper limit Fh, or the temperature of the lower section of the boiler is greater than the first preset temperature threshold, all the grates are controlled to stop running, and the feeding speed is reduced to the preset feeding speed lower limit.

[0126] In an exemplary embodiment of the present application, the first preset temperature threshold can be defined according to different application scenarios, processes and requirements. The specific value is not limited here. For example, 1150° C. can be selected.

[0127] In an exemplary embodiment of the present application, when the boiler load is higher than the load target upper limit Fh, or the boiler lower end temperature (the lower end temperature of the left and right boilers is selected) is greater than 1150°C (modifiable), when either of the two conditions is met, or when both are met, all grates can be controlled to stop running, and the feeding speed can be reduced to the preset feeding speed lower limit. When stopping the grate, both grates are stopped when they are in place, for example, the two burnout grates are stopped after they are in place.

[0128] In an exemplary embodiment of the present application, the method may further include:

[0129] When the boiler load is lower than the difference between the load target upper limit and the third preset load value, and the boiler lower end temperature is lower than the second preset temperature threshold, the burnout grate, the combustion grate and the drying grate are controlled to automatically start in sequence at intervals of a second preset time.

[0130] In an exemplary embodiment of the present application, the second preset temperature threshold can be defined according to different application scenarios, processes and requirements. The specific value is not limited here. For example, 1145° C. can be selected.

[0131] In an exemplary embodiment of the present application, the third preset load value can be defined according to different application scenarios, processes and requirements. The specific value is not limited here. For example, 0.6 t / h can be selected.

[0132] In an exemplary embodiment of the present application, the second preset duration can be defined according to different application scenarios, processes and requirements. The specific value is not limited here. For example, 10 seconds can be selected.

[0133] In an exemplary embodiment of the present application, the boiler load is lower than (target load upper limit Fh-0.6t / h), and the boiler lower end temperature (high selection) is lower than 1145°C (action value minus 5). When either of the two conditions is met, or both are met and there are no other stop conditions, the ember grate, combustion grate and drying grate can be controlled to automatically start in sequence at intervals of 10 seconds.

[0134] In an exemplary embodiment of the present application, for example, the following control strategy may be executed when the boiler load is low:

[0135] When the flue gas temperature at the top of the ember grate is lower than the target flue gas temperature Te at the top of the burnout grate, and the oxygen content in the boiler is higher than (the lower limit of the target oxygen content + 0.5%), the following procedures can be performed:

[0136] 31. When the boiler load is lower than (load target upper limit Fh-1.5t / h), the operation time of all grates can be automatically reduced by the preset time, for example, 5S; (i.e., reduce the time and increase the speed)

[0137] 32. When the boiler load is lower than (load target upper limit Fh-2.0t / h), the operation time of all grates can be automatically reduced by the preset time, for example, 5S; that is, it can be reduced by 10S;

[0138] 33. When the boiler load is lower than (load target upper limit Fh-2.5t / h), the operation time of all grates can be automatically reduced by the preset time, for example, 5S; that is, it can be reduced by 15S;

[0139] 34. When the boiler load is lower than (load target upper limit Fh-3.0t / h), the operation time of all grates can be automatically reduced by a preset time, for example, 5S; that is, it can be reduced by 20S.

[0140] In an exemplary embodiment of the present application, the automatic adjustment strategy of the induced draft system is introduced below:

[0141] In an exemplary embodiment of the present application, the method further includes:

[0142] The quality of induced draft is judged based on multiple negative pressure signals at the top of the furnace;

[0143] When the induced air quality meets the preset requirements, the multiple negative pressure signals are selected;

[0144] The preset fan frequency converter is automatically adjusted according to the negative pressure signal obtained by the selection; the fan frequency converter includes a primary fan frequency converter and a secondary fan frequency converter.

[0145] In an exemplary embodiment of the present application, the induced draft quality can be judged based on the five negative pressure signals at the top of the furnace. When the induced draft quality meets the requirements, the five negative pressure signals can be selected (i.e., an intermediate value is selected), and the fan inverter for induced draft can automatically adjust the induced draft frequency conversion instruction according to the selected negative pressure signal to maintain negative pressure stability.

[0146] In an exemplary embodiment of the present application, the following describes a primary wind automatic adjustment strategy:

[0147] In an exemplary embodiment of the present application, the frequency of the primary fan inverter can be adjusted accordingly according to the deviation between the load signal and the target load. When carbon monoxide rises, the frequency command of the primary fan inverter can be forcibly turned down.

[0148] In an exemplary embodiment of the present application, the secondary air automatic adjustment strategy is introduced below:

[0149] In an exemplary embodiment of the present application, the method may further include:

[0150] According to the oxygen content in the furnace and the rising and falling trend of the oxygen content, control the increase and decrease of the secondary fan inverter command; or,

[0151] The increase or decrease of the secondary fan inverter instruction is controlled according to the temperature of the lower end of the furnace, the rising and falling trend direction of the temperature of the lower end of the furnace, and the oxygen content of the furnace.

[0152] In an exemplary embodiment of the present application, after the secondary air frequency converter makes a quality judgment on the oxygen content signal, if the quality of the oxygen content signal meets the preset requirements, the average value of the boiler oxygen content is calculated, and the average value is compared with the target oxygen content. When the average value is greater than the target oxygen content by 0.5% and the oxygen content in the furnace is rising, the secondary fan frequency converter can be slowly shut down; when the average value is less than the target oxygen content by 0.5% and the oxygen content in the furnace is decreasing, the secondary fan frequency converter instruction can be slowly increased.

[0153] In an exemplary embodiment of the present application, when the temperature at the lower end of the furnace is greater than 1075°C, the temperature at the lower end of the furnace is rising, and the oxygen content in the furnace is less than (target oxygen content + 1), the secondary fan inverter slowly opens; when the temperature at the lower end of the furnace is less than 890°C, the temperature at the lower end of the furnace is falling, and the oxygen content in the furnace is greater than (target oxygen content - 1), the secondary fan inverter slowly closes; when the temperature at the lower end of the furnace is less than 890°C and the temperature at the lower end of the furnace is falling, the secondary fan inverter slowly opens; when the temperature at the lower end of the furnace is greater than 1075°C and the temperature at the lower end of the furnace is rising, the secondary fan inverter instruction slowly decreases.

[0154] In the exemplary embodiments of the present application, the embodiments of the present application at least include the following advantages:

[0155] (1) Using DCS for direct control can reduce the number of failure points and PLCs, which can reduce investment and facilitate maintenance for end users.

[0156] (2) During the normal operation of the unit, the utilization rate of the optimized control system shall not be less than 95% (excluding process systems that do not have the conditions for automatic control), reducing the labor intensity of production and operation and improving the level of process automation and equipment management.

[0157] (3) After the control optimization system is put into operation, the stability of key process parameters such as drum water level, main steam flow (temperature), furnace temperature, oxygen content, and negative pressure will be improved; the waste incineration system will be automatically controlled to eliminate the lag and inaccuracy caused by manual operation.

[0158] (4) The air volume of the primary air can be adjusted by controlling the main steam flow rate, and the thickness of the garbage layer can be used to control the appropriate amount of garbage entering the incinerator for combustion, thereby implementing combustion optimization, improving incineration efficiency, and improving economic efficiency.

[0159] (5) Incinerate garbage with different calorific values, moisture, and ash contents, and automatically match the pushing speed and incineration speed through machine learning to solve the problem of frequent human intervention required for garbage incineration.

[0160] The embodiment of the present application provides an ACC coordination control device 1 suitable for a Kangheng waste incinerator, such as Figure 3As shown, it may include a processor 11 and a computer-readable storage medium 12, wherein the computer-readable storage medium 12 stores instructions. When the instructions are executed by the processor 11, the ACC coordinated control method applicable to the Kangheng waste incinerator is implemented.

[0161] In the exemplary embodiments of the present application, any embodiment of the aforementioned ACC coordinated control method applicable to the Kangheng waste incinerator can be applied to the device embodiment and will not be described one by one here.

[0162] It will be appreciated by those skilled in the art that all or some of the steps, systems, and functional modules / units in the methods disclosed above may be implemented as software, firmware, hardware, and appropriate combinations thereof. In hardware implementations, the division between the functional modules / units mentioned in the above description does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed by several physical components in cooperation. Some or all components may be implemented as software executed by a processor, such as a digital signal processor or a microprocessor, or implemented as hardware, or implemented as an integrated circuit, such as an application-specific integrated circuit. Such software may be distributed on a computer-readable medium, which may include a computer storage medium (or non-transitory medium) and a communication medium (or temporary medium). As known to those skilled in the art, the term computer storage medium includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disks (DVD) or other optical disk storage, magnetic cassettes, magnetic tapes, magnetic disk storage or other magnetic storage devices, or any other medium that can be used to store the desired information and can be accessed by a computer. In addition, it is well known to those of ordinary skill in the art that communication media typically contain computer-readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media.

Claims

1. An ACC coordinated control method for a Kangheng waste incinerator, characterized in that: The grate of the Kangheng waste incinerator is directly controlled by a distributed control system DCS, and the grate includes a feeding grate; the method includes: Taking a preset basic value as a starting iteration value, adopting a preset genetic algorithm to iteratively learn the speed of the feeding grate, and obtaining an average speed of the feeding grate per unit boiler load each time the feeding grate is running; the basic value is obtained according to the average speed of the feeding grate within a first preset time period before the current moment and a preset load target; Calculate a first speed according to the obtained average speed of the unit boiler load each time the feeding grate is operated and the current boiler load; Using the first speed as the control speed of the feeding grate; Wherein, the genetic algorithm is an algorithm for closed-loop control of the operating speed of the feeding grate per unit boiler load according to the current speed of the feeding grate, the current boiler load and the output speed of the previous iteration; The current speed is the speed at the beginning of the grate operation, and the output speed is the average speed per unit boiler load of the feeding grate each time it is operated, obtained by iteratively learning the speed of the feeding grate using a genetic algorithm.

2. The ACC coordinated control method for Kangheng waste incinerator according to claim 1 is characterized in that: The method of iteratively learning the speed of the feeding grate by using a preset genetic algorithm to obtain the average speed of the feeding grate per unit boiler load each time the feeding grate is running includes: Check whether the input speed signal is normal; When the input speed signal is abnormal, reacquire the speed signal; when the input speed signal is normal, detect whether the current working condition is normal; When the current operating condition is normal, the input speed signal is input into the preset iterative calculation formula, and the calculation result is used as the speed average value of the unit boiler load each time the feeding grate is operated, and the speed average value of the unit boiler load each time the feeding grate is operated is used as the input for the next iteration; when the current operating condition is abnormal, the pre-acquired speed experience value is input into the iterative calculation formula, and the calculation result is used as the speed average value of the unit boiler load each time the feeding grate is operated.

3. The ACC coordinated control method for Kangheng waste incinerator according to claim 1 is characterized in that: The grate also includes a drying grate, a burning grate and a burnout grate, and the method further includes: Detecting the temperature of the flue gas above the burnout grate; The operating speed of the burnout grate or all of the grates is adjusted according to the difference between the temperature of the flue gas above the burnout grate and the preset target temperature of the flue gas above the burnout grate.

4. The ACC coordinated control method for Kangheng waste incinerator according to claim 3 is characterized in that: The step of adjusting the operating speed of the burnout grate or all of the grates according to the difference between the temperature of the flue gas above the burnout grate and the preset target temperature of the flue gas above the burnout grate comprises: When the temperature of the flue gas above the burnout grate is higher than the target temperature of the flue gas above the burnout grate, the operating speed of the burnout grate or all of the grates is controlled to be reduced accordingly according to different values ​​higher than the target temperature of the flue gas above the burnout grate; When the temperature of the flue gas above the burnout grate is lower than the target temperature of the flue gas above the burnout grate, the operating speed of all the grates is controlled to increase accordingly according to different values ​​below the target temperature of the flue gas above the burnout grate.

5. The ACC coordinated control method for Kangheng waste incinerator according to claim 1 is characterized in that: The grate also includes a drying grate, a burning grate and a burnout grate, and the method further includes: Compare the boiler load with a preset upper load target limit; When the boiler load is higher than or equal to the difference between the load target upper limit and the first preset load value, the operating speed of all the grates is correspondingly reduced according to the difference between the load target upper limit and the first preset load value; When the boiler load is lower than the difference between the load target upper limit and the second preset load value, the temperature of the flue gas above the burnout grate is lower than the target temperature of the flue gas above the burnout grate, and the oxygen content of the boiler flue gas is higher than the preset target oxygen content lower limit, the operating speed of all the grates is increased accordingly according to the difference between the load target upper limit and the second preset load value.

6. The ACC coordinated control method for Kangheng waste incinerator according to claim 5 is characterized in that: The method further comprises: When the boiler load is higher than the load target upper limit, or the temperature of the lower section of the boiler is greater than a first preset temperature threshold, all of the grates are controlled to stop running, and the feeding speed is reduced to a preset feeding speed lower limit.

7. The ACC coordinated control method for the Kangheng waste incinerator according to claim 6 is characterized in that: The method further comprises: When the boiler load is lower than the difference between the load target upper limit and the third preset load value, and the boiler lower end temperature is lower than the second preset temperature threshold, the burnout grate, the combustion grate and the drying grate are controlled to automatically start in sequence at intervals of a second preset time.

8. The ACC coordinated control method for Kangheng waste incinerator according to claim 1 is characterized in that: The method further comprises: The quality of induced draft is judged based on multiple negative pressure signals at the top of the furnace; When the induced air quality meets the preset requirements, the multiple negative pressure signals are selected; The preset fan frequency converter is automatically adjusted according to the negative pressure signal obtained by the selection; the fan frequency converter includes a primary fan frequency converter and a secondary fan frequency converter.

9. The ACC coordinated control method for Kangheng waste incinerator according to claim 1 is characterized in that: The method further comprises: According to the oxygen content in the furnace and the rising and falling trend of the oxygen content, control the increase and decrease of the secondary fan inverter command; or, The increase or decrease of the secondary fan inverter instruction is controlled according to the temperature of the lower end of the furnace, the rising and falling trend direction of the temperature of the lower end of the furnace, and the oxygen content of the furnace.

10. An ACC coordination control device for a Kangheng waste incinerator, comprising a processor and a computer-readable storage medium, wherein the computer-readable storage medium stores instructions, characterized in that: When the instruction is executed by the processor, the ACC coordinated control method for the Kangheng waste incinerator as described in any one of claims 1-9 is implemented.

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