ACC Coordination Control Method and Device for Waste Incinerator

Abstract

The embodiment of the present application discloses an ACC coordinated control method and device for a three-peak Kawanta waste incinerator. The grate of the three-peak Kawanta waste incinerator is directly controlled by a distributed control system (DCS). The method includes: using a preset genetic algorithm to perform iterative learning on the speed of the grate with a preset base value as the starting iterative value, and obtaining the first speed of the grate during each operation; using the first speed as the control speed of the grate; wherein, the grate includes any one or more of the following: a pusher grate, a drying grate, a combustion grate, and a burnout grate; the genetic algorithm is an algorithm for performing closed-loop control on the operating speed of the grate based on the current speed of the grate and the output speed of the previous iteration. Through the solution of this embodiment, the communication failure points are reduced, the real-time performance and reliability of the system are improved, and the pusher speed and incineration speed of the three-peak Kawanta waste incinerator are automatically matched and coordinately controlled.

Description

Technical Field

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

[0002] During the production operation of waste incineration using the forward-pushing moving grate incinerator of Shanghai Conhen in China, the grate is controlled by DCS (Distributed Control System) + PLC (Programmable Logic Controller). However, it is difficult for the PLC to achieve complex analog quantity control, and there are inherent drawbacks in terms of self-learning, self-adaptation, and intelligent development.

[0003] During the production operation process, the pusher grate (or feeding grate) first pushes the waste to the drying grate at a certain speed for drying, then pushes the waste to the combustion grate at a certain speed for combustion, and then pushes the waste to the burnout grate at a certain speed. The burned-out waste is then processed otherwise. The grate speeds in each stage are different, and different speeds need to be set according to the characteristics of the waste.

[0004] The waste generally burns on the grate for about 3 hours. The biggest problem is that the thickness of the waste in the drying section cannot be detected and is not visible. It is necessary to reach the combustion grate stage or even the burnout grate stage to find out whether there is too much or too little waste. Among them, when the pusher speed and the speed of the combustion grate do not match, there will be too much or too little waste; when the moisture content of the waste 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 waste. In short, the calorific value, moisture content, ash content, etc. of the waste will all affect stable combustion and power generation. If the pusher speed is too fast, there will be material accumulation, resulting in incomplete combustion and raw materials; if the pusher speed is too slow, there will be material breakage and the load cannot be increased. This is the biggest difficulty in the automatic operation of the waste grate ACC (Automatic Combustion Control System of Waste Incinerator).

[0005] Therefore, the current degree of automation of the grate is relatively low. Due to waste reasons, it is basically manually controlled, and the ACC automatic control has not been realized. The frequency of manual intervention is high, and there is a problem that the pusher grate and the combustion grate cannot be automatically coordinated and controlled simultaneously. Summary of the Invention

[0006] The embodiments of the present application provide an ACC coordinated control method and device for a Three Peaks Carthage waste incinerator, which can reduce communication fault points, improve the real-time performance and reliability of the system, and can automatically match and coordinate the control of the pusher speed and the incineration speed of the Three Peaks Carthage waste incinerator.

[0007] The embodiments of the present application provide an ACC coordinated control method applicable to a Three Peaks Carthage waste incinerator. The grate of the Three Peaks Carthage waste incinerator is directly controlled by a distributed control system DCS. The method may include:

[0008] Taking a preset base value as the starting iteration value, iteratively learning the speed of the grate using a preset genetic algorithm to obtain the first speed of the grate each time it operates;

[0009] Taking the first speed as the control speed of the grate;

[0010] Wherein, the grate includes any one or more of the following: a pusher grate, a drying grate, a combustion grate, and a burnout grate; the genetic algorithm is an algorithm for closed-loop control of the operating speed of the grate based on the current speed of the grate and the output speed of the previous iteration.

[0011] In an exemplary embodiment of the present application, the method may further include:

[0012] When the grate includes the drying grate, the combustion grate, and the burnout grate, the method further includes:

[0013] Every time the first preset duration is learned, calculating the average temperature of the grate within the first preset duration;

[0014] Comparing the average temperature with the current temperature of the grate;

[0015] When the value by which the current temperature is greater than the average temperature reaches a first preset temperature threshold, reducing the control speed of the grate by a first preset speed value;

[0016] When the value by which the current temperature is less than the average temperature reaches a second preset temperature threshold, increasing the control speed of the grate by a second preset speed value.

[0017] In an exemplary embodiment of the present application, when the grate includes the drying grate and the pusher grate, the method may further include:

[0018] Detecting whether the flipping period of the drying grate is equal to a preset period;

[0019] When the value by which the flipping period exceeds the preset period is greater than or equal to a first preset threshold, slowing down the speed of the pusher grate according to the exceeded value.

[0020] In an exemplary embodiment of the present application, the base value may include the average value of the grate speed within a second preset duration before the current moment;

[0021] The step of iteratively learning the speed of the grate using a preset genetic algorithm to obtain the first speed of the grate each time it operates may include:

[0022] Detecting whether the input speed signal is normal;

[0023] When the input speed signal is abnormal, obtain the speed signal again; when the input speed signal is normal, detect whether the current working condition is normal;

[0024] When the current working condition is normal, input the input speed signal into a preset iterative calculation formula, use the calculation result as the first speed, and use the first speed as the input for the next iteration; when the current working condition is abnormal, input a pre-obtained speed experience value into the iterative calculation formula, and use the calculation result as the first speed.

[0025] In an exemplary embodiment of the present application, when the grate includes the drying grate, the combustion grate, and the burnout grate, the method may further include:

[0026] When any one or a combination of the boiler load of the grate, the oxygen content in the flue gas, the operating time of the grate, and the temperature at the lower end of the boiler of the grate satisfies a first preset trigger condition corresponding to the combined state, control the grate to stop automatic operation.

[0027] In an exemplary embodiment of the present application, the first preset trigger condition may include any one or more of the following:

[0028] The boiler load is greater than a first load value; wherein, the first load value may include: the difference between a preset load upper limit and a first value;

[0029] The boiler load is greater than a second load value, the oxygen content in the flue gas is less than a first oxygen content value, and the duration of maintaining the state where the boiler load is greater than the second load value and the oxygen content in the flue gas is less than the first oxygen content value reaches a third preset duration; wherein, the second load value includes: the difference between the load upper limit and a second value, and the first oxygen content value may include: the sum of a preset oxygen content lower limit and a third value; the second value is greater than the first value;

[0030] The boiler load is greater than a third load value, the oxygen content in the flue gas is less than the oxygen content lower limit, and the duration of maintaining the state where the boiler load is greater than the third load value and the oxygen content in the flue gas is less than the oxygen content lower limit reaches a fourth preset duration; wherein, the third load value may include: the difference between a preset load upper limit and a fourth value; the fourth value is greater than the second value;

[0031] The boiler load is greater than a fourth load value and the flue gas oxygen content is less than a second oxygen content value, or the boiler load is greater than the fourth load value and the decrease in the flue gas oxygen content reaches a preset decrease threshold; wherein, the fourth load value may include: the difference between a preset load upper limit and a fifth value, and the second oxygen content value may include: the difference between a preset oxygen content lower limit and a sixth value; the fifth value is greater than the fourth value;

[0032] The temperature at the lower end of the boiler is greater than a first preset temperature.

[0033] In an exemplary embodiment of the present application, the method may further include:

[0034] When the boiler load of the grate satisfies being less than or equal to a preset first load threshold, the boiler load is in a decreasing state, the flue gas oxygen content is in an increasing state, and when the state where the boiler load of the grate satisfies being less than or equal to the preset first load threshold, the boiler load is in a decreasing state, and the flue gas oxygen content is in an increasing state is maintained for at least a fifth preset duration, control the burnout grate to operate automatically.

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

[0036] When the combined state of any one or more of the boiler load, the flue gas oxygen content, and the change trend of the flue gas oxygen content satisfies a second preset trigger condition corresponding to the combined state, control the drying grate and the combustion grate to operate automatically;

[0037] Wherein, the second preset trigger condition may include:

[0038] The boiler load is less than a fifth load value, the flue gas oxygen content is greater than a third oxygen content value, and the boiler load is in a decreasing state; wherein, the fifth load value includes: the difference between a preset load upper limit and a seventh value; or,

[0039] The boiler load is less than a sixth load value and lasts for a sixth preset duration, the flue gas oxygen content is greater than a fourth oxygen content value, and the boiler load is in a decreasing state; wherein, the sixth load value includes: the difference between the load upper limit and an eighth value; the fourth oxygen content value includes: the sum of a preset oxygen content lower limit and a ninth value; the eighth value is less than the seventh value.

[0040] In an exemplary embodiment of the present application, the method may further include:

[0041] Predict whether the boiler load is too low according to the boiler load, the flue gas oxygen content, and a third preset trigger condition;

[0042] When the boiler load and the flue gas oxygen content meet the third preset trigger condition, it is predicted that the boiler load is too low, and the drying grate and the combustion grate are controlled to operate automatically;

[0043] Among them, the third preset trigger condition may include any one or more of the following:

[0044] The boiler load is less than the seventh load value, and the flue gas oxygen content is greater than the preset lower limit of oxygen content; among them, the seventh load value includes: the difference between the preset load upper limit and the ninth value;

[0045] The boiler load is less than the tenth load value, the flue gas oxygen content is greater than the fifth oxygen content value, and the boiler load is in a decreasing state; among them, the tenth load value includes: the difference between the load upper limit and the tenth value; the fifth oxygen content value includes: the sum of the lower limit of oxygen content and the eleventh value; the tenth value is less than the ninth value;

[0046] The boiler load is less than the eleventh load value and lasts for the seventh preset duration, the flue gas oxygen content is greater than the sixth oxygen content value, and the boiler load is in a decreasing state; among them, the eleventh load value includes: the difference between the load upper limit and the twelfth value; the sixth oxygen content value includes: the sum of the preset lower limit of oxygen content and the thirteenth value; the twelfth value is less than the tenth value.

[0047] An ACC coordinated control device applicable to a three-peak Kawanta waste incinerator provided by an embodiment of the present application may include a processor and a computer-readable storage medium. Instructions are stored in the computer-readable storage medium. When the instructions are executed by the processor, the ACC coordinated control method applicable to the three-peak Kawanta waste incinerator is implemented.

[0048] Compared with the related technology, the grates of the three-peak Kawanta waste incinerator in the embodiment of the present application are directly controlled by a distributed control system (DCS). The method may include: using a preset basic value as the starting iteration value, and adopting a preset genetic algorithm to perform iterative learning on the speed of the grates to obtain the first speed of the grates during each operation; using the first speed as the control speed of the grates; among them, the grates include any one or more of the following: a pusher grate, a drying grate, a combustion grate, and a burnout grate; the genetic algorithm is an algorithm for performing closed-loop control on the operating speed of the grates according to the current speed of the grates and the output speed of the previous iteration. Through the solution of this embodiment, the communication fault points are reduced, the real-time performance and reliability of the system are improved, and the pusher speed and incineration speed of the three-peak Kawanta waste incinerator are automatically matched and coordinated.

[0049] Other features and advantages of the present application will be described in the subsequent specification, and in part, will be obvious from the specification, or will be understood by implementing the present application. Other advantages of the present application can be achieved and obtained through the solutions described in the specification and the accompanying drawings. Brief Description of the Drawings

[0050] The accompanying drawings are used to provide an understanding of the technical solutions 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 solutions of the present application, and do not constitute a limitation to the technical solutions of the present application.

[0051] Figure 1 It is a flowchart of the ACC coordinated control method applicable to the three-peak Kawanta waste incinerator in the embodiment of the present application;

[0052] Figure 2 It is a schematic diagram of the genetic algorithm in the embodiment of the present application;

[0053] Figure 3 It is a block diagram of the composition of the ACC coordinated control device applicable to the three-peak Kawanta waste incinerator in the embodiment of the present application. Detailed Description of the Embodiments

[0054] The present application describes multiple embodiments, but the description is exemplary rather than restrictive, and it will be obvious to those of ordinary skill in the art that there can be more embodiments and implementation solutions within the scope of the embodiments described in the present application. Although many possible combinations of features are shown in the accompanying drawings and discussed in the detailed description, many other combinations of the disclosed features are also possible. Unless specifically restricted, any feature or element of any embodiment can be combined with any other feature or element in any other embodiment, or can replace any other feature or element in any other embodiment.

[0055] The present application includes and contemplates combinations with features and elements known to those of ordinary skill in the art. The embodiments, features, and elements already disclosed in the present application can also be combined with any conventional features or elements to form unique inventive solutions defined by the claims. Any feature or element of any embodiment can also be combined with features or elements from other inventive solutions to form another unique inventive solution defined by the claims. Therefore, it should be understood that any feature shown and / or discussed in the present application can be implemented alone or in any suitable combination. Therefore, the embodiments are not subject to other limitations except those made according to the appended claims and their equivalents. In addition, various modifications and changes can be made within the scope of the protection of the appended claims.

[0056] 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 depend on the specific order of the steps described herein, the method or process should not be limited to the specific order of steps described. As those of ordinary skill in the art will understand, other step orders are possible. Therefore, the specific order of steps set forth in the specification should not be construed as a limitation on the claims. In addition, the claims directed to the method and / or process should not be limited to performing their steps in the order written, as those skilled in the art can readily understand that these orders can vary and still remain within the spirit and scope of the embodiments of the present application.

[0057] An embodiment of the present application provides an ACC coordinated control method applicable to a three-peak Kawanta waste incinerator. The grate of the three-peak Kawanta waste incinerator is directly controlled by a distributed control system (DCS), as Figure 1 shown. The method may include steps S101 - S102:

[0058] S101. Using a preset genetic algorithm, perform iterative learning on the speed of the grate with a preset base value as the starting iterative value to obtain the first speed of the grate each time it operates;

[0059] S102. Use the first speed as the control speed of the grate;

[0060] Wherein, the grate includes any one or more of the following: a pusher grate, a drying grate, a combustion grate, and a burnout grate; the genetic algorithm is an algorithm for performing closed-loop control on the operating speed of the grate based on the current speed of the grate and the output speed of the previous iteration.

[0061] First, some terms involved in the solution of the embodiment of the present application are explained:

[0062] Waste incinerator: A thermal power equipment for treating solid waste by incineration method. According to the incineration method, it can be divided into: mechanical grate incinerator, fluidized bed incinerator, rotary kiln incinerator, pyrolysis gasification furnace, etc.

[0063] Grate: A component in a boiler for stacking solid fuel and enabling its effective combustion, including: a pusher grate and an incineration grate. The incineration grate includes: a drying grate, a combustion grate, and a burnout grate. The upper grate generally refers to the drying grate and the combustion grate, and the lower grate refers to the burnout grate.

[0064] ACC: The automatic combustion control system of the waste incinerator grate is simply referred to as the ACC system.

[0065] Automatic Combustion Control System: A general term for an analog control system that enables the energy of fuel combustion in the furnace to meet the needs of the boiler load while maintaining the safe, stable, and economic operation of the boiler. It usually includes a fuel quantity control module, an air supply quantity control module, an induced draft control module, a temperature control module, a load control module, etc.

[0066] DCS: The English abbreviation of Distributed Control System. It is a multi-level computer system composed of a process control level and a process monitoring level linked by a communication network, integrating 4C technologies such as computers, communications, displays, and controls. Its basic idea is decentralized control, centralized operation, hierarchical management, flexible configuration, and convenient configuration.

[0067] The grate arrangement in the waste incinerator with a reverse reciprocating moving grate of Three Peaks Carthage includes: 3 pusher (for feeding, which can be called the feeding grate) + 3 upper grates (i.e., the drying grate and the combustion grate) + 3 lower grates (the burnout grate).

[0068] The reverse reciprocating moving grate of Three Peaks Carthage is directly controlled by the PLC, and the waste heat boiler, steam turbine, and other auxiliary systems are monitored by the DCS; the PLC and the DCS are connected by a communication method, and all monitoring of the PLC is completed in the DCS system. An ACC control system is designed in the PLC. Due to the uncertainty of waste moisture and calorific value, the ACC cannot be put into closed-loop control.

[0069] The DCS system controls the on-site grate equipment through the PLC. The PLC and the DCS are connected by a communication connection method, which can meet the conventional logic control of feeding and the incinerator grate, but cannot realize the automatic control of the whole system such as feeding and incineration, load, furnace temperature, feeding, and air distribution. It requires the operator to frequently perform manual intervention, resulting in large hysteresis and uncertain factors.

[0070] Previously, referring to the design of the grate manufacturer and the PLC, when the waste moisture and calorific value were stable, only the semi-automatic operation of the feeding and combustion grates could be put into operation, and the coordinated control of the feeding and combustion grates could not be realized. When the waste calorific value, moisture, and ash content changed greatly, the load, furnace temperature, main steam temperature, etc. fluctuated greatly, and the subsystems of these values also frequently exited the automatic mode and performed manual intervention, which could not meet the production needs. The traditional control scheme is to use single-loop PID regulation after decoupling. Each loop has a controlled parameter for deviation regulation. The main steam temperature is only cascade-regulated according to the temperature deviation, the steam drum water level is cascade-regulated according to the three-element cascade, the oxygen content deviation regulates the air supply frequency conversion, the negative pressure deviation regulates the induced draft frequency conversion, the load deviation regulates the speeds of the incinerator grate and the feeding grate, and the primary air volume is regulated.

[0071] 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, resulting in low incineration efficiency, poor working condition stability, and unsatisfactory waste combustion; (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) In the traditional control scheme, when the calorific value, moisture, and ash content of the waste are relatively stable, the push speed and the incineration grate speed are controlled separately with a relatively fixed relationship, relying on human experience to match, which will frequently cause human intervention and modification of the speed matching relationship between the two objects; when the calorific value, moisture, ash content and other factors fluctuate greatly, the push speed and the incineration grate speed are difficult to match, and the long-term ACC automatic stable control cannot be satisfied. Therefore, the degree of automation is low and the frequency of human intervention is high.

[0072] 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, thereby reducing communication failure points and improving the real-time performance and reliability of the system; (2) The DCS adopts big data analysis and system self-learning and adaptive control technology to automatically match and coordinate the pushing speed and combustion speed of the three-peak incinerator.

[0073] In an exemplary embodiment of the present application, the ACC coordination control system of the Sanfeng Covanta waste incinerator may include 9 sub-functions:

[0074] 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 control output range, avoiding feedwater integral saturation, and more stable than traditional methods;

[0075] 2. Main steam temperature control (primary and secondary cooling water) introduces the machine self-learning to calculate 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;

[0076] 3. Furnace negative pressure control is relatively simple and coordinated with air supply control;

[0077] 4. Oxygen content / furnace temperature control (secondary air), introducing oxygen content, furnace temperature, CO (carbon monoxide) emissions, and the three measured parameters are integrated into fuzzy control of secondary air frequency conversion;

[0078] 5. Combustion burnout control, which intervenes in the grate speed and adjusts the primary air volume in the burnout section according to the burnout temperature;

[0079] 6. Feeding grate action speed control, introducing fuzzy algorithms for various special situations (for example, the genetic algorithm in the embodiment solution of this application), and the machine self-learns the feeding grate speed required for different garbage, and performs fuzzy control according to the load, the pressure in the primary air chamber, and the tile temperature;

[0080] 7. Incineration grate action speed and turning frequency control, introducing fuzzy algorithms for various special situations, and the machine self-learns the incineration grate speed required for different garbage, and performs fuzzy control according to the load and the burnout temperature;

[0081] 8. Flue gas carbon monoxide index control;

[0082] 9. Main steam flow rate (load) control, which adjusts the feeding grate speed, the incineration grate speed, and the primary air flow rate according to the load deviation.

[0083] In the exemplary embodiment of this application, a detailed introduction is mainly made to the speed adjustment functions corresponding to items 6 and 7 among the above sub-functions.

[0084] It is known that the purpose of waste incineration is to burn as much waste as possible to solve environmental protection problems; to generate as much electricity as possible to obtain the maximum power generation benefit. The operator will adjust the pushing grate speed and the flipping speed of the drying grate respectively according to the power generation load and environmental protection indicators to achieve the amount of waste incinerated and the power generation. The speeds of these two objects (the pushing grate and the drying grate) are not continuous but intermittent (stop and go). The pushing grate determines the total pushing speed (the speed determines the amount of waste incinerated) through the distance (or time) of each push and the interval time; the drying grate determines the walking speed of the waste on the grate by adjusting the flipping time interval of the grate. A short interval means fast walking, and a long interval means slow walking. This creates a difference from the traditional PID (Proportional-Integral-Derivative) deviation adjustment (continuous analog control). When the speeds of these two objects do not match, the thickness of the waste on the grate is uneven and the combustion is unstable. The calorific value, moisture content, ash content, composition, etc. of the waste cannot be measured, and the thickness of the waste on the incineration grate cannot be measured either. This causes the operation to be adjusted manually only based on the combustion result. However, due to the long waste incineration time, the result reaction is lagged, resulting in untimely adjustment, with many uncertainties, and often causing the pushing speed and the incineration speed not to match.

[0085] The pusher grate first pushes the garbage onto the drying section grate. When there is more garbage, the temperature of the drying section grate will decrease (caused by a long drying time and a backward shift of the ignition point). When there is less garbage, the temperature of the drying section grate will increase (caused by premature combustion and forward movement of the flame). The moisture content also affects the temperature of the drying grate, and it is not possible to solely rely on this temperature to judge the amount of garbage. When the calorific value of the garbage is high and the moisture content is low, the combustion is faster and the combustion time will be shorter; when the calorific value is low and the moisture content is high, the combustion will be slower and the combustion time will be longer. The operator will manually adjust the pusher speed and the speed of the incinerator grate according to the power generation load, the calorific value and moisture content of the garbage. If there is too much garbage on the grate, it will also cause problems such as material accumulation and mechanical flipping timeout of the grate. Therefore, the flipping cycle of the drying grate is also a basis for judging the amount of garbage. When there is more garbage (thicker), the flame length on the grate will become longer, and there may be unburned raw materials due to incomplete combustion in the burnout section; when there is less garbage, the flame length on the grate will become shorter, and the flame may even be discontinuous. This results in insufficient garbage combustion and an inability to carry the load, affecting the economic operation. When burning on the incinerator grate, complete combustion is required. It is judged by the temperature and flame video in the burnout section. The temperature in the burnout section can reflect whether the thickness of the garbage on the burnout grate is reasonable from the result, and it is also a basis for judging the amount of garbage. Of course, the boiler load and whether it reaches the design value are also important bases for judging the amount of garbage.

[0086] In the exemplary embodiment of the present application, considering the above influencing factors, the main problem to be solved is the matching of the pusher speed and the incineration speed. As long as the speeds are matched, the subsequent control will be relatively simple. The calorific value, moisture content, ash content, composition, and thickness of the garbage are not measurable. Through big data analysis, the range of their speed matching relationships can be obtained. Here, the embodiment of the present application introduces a genetic algorithm for big data statistics and machine learning of the grate speed. First, the average grate speed in the past 8 hours of the grate is obtained as the base value. This base value is used as an input speed for the initial iterative learning. Based on this base value and a preset iterative calculation formula, when the input speed signal and working conditions are normal, the operating speed of the grate at the next moment can be iteratively calculated according to the current speed of the grate, so as to achieve closed-loop control of the operating speed during each operation of the grate. Based on the operating speed obtained through iterative learning, basic control of the grate can be performed.

[0087] In the exemplary embodiment of the present application, the base value may include the average grate speed within a second preset time period before the current moment.

[0088] In the exemplary embodiment of the present application, the second preset time period may include: 8 - 10 hours. For example, if 8 hours is selected, that is, the base value may be the average grate speed within 8 hours retroactively from the current moment.

[0089] In the exemplary embodiment of the present application, as Figure 2As shown, using a preset genetic algorithm to iteratively learn the speed of the grate and obtain the first speed of the grate each time it operates may include:

[0090] Detect whether the input speed signal is normal;

[0091] When the input speed signal is abnormal, obtain the speed signal again; when the input speed signal is normal, detect whether the current working condition is normal;

[0092] When the current working condition is normal, input the input speed signal into a preset iterative calculation formula, take the calculation result as the first speed, and use the first speed as the input for the next iteration; when the current working condition is abnormal, input a pre-obtained speed experience value into the iterative calculation formula, and take the calculation result as the first speed.

[0093] In an exemplary embodiment of the present application, this genetic algorithm can be written in ST (Structured Text Language) text structure language and encapsulated into a function block for other programs to call.

[0094] 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, this bad value will not be added to the data statistics process of this genetic algorithm.

[0095] In an exemplary embodiment of the present application, whether the current working condition is normal can be represented by calculating the switch SW (which can manually trigger the calculation or reset the statistical value). For example, if the current working condition is normal, the value of the calculation switch can be set to true, then use the first speed output in the previous iteration as the input for this iteration to iteratively learn the speed of the grate; if the current working condition is abnormal, the value of the calculation switch can be set to not true, then use a preset experience value as the input for this iteration and no longer iteratively learn the speed of the grate.

[0096] 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 an experience value, and when the calculation switch SW is 0, the input of the iteration is assigned the output of the previous iteration to continue the iterative learning.

[0097] 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)

[0098] Among them, O1 is the calculation result and serves as the output value; I1 is the current speed input; RT is the backward deduction time, that is, the second preset duration, representing the time range to be counted, which is approximately how long the speed value needs to be counted backward; M represents the weight value of the current speed, and the default value is 1 (that is, in general, the weight value of the current speed is 1). When M is larger, the weight of the current speed is greater, and the statistics will quickly converge to the current speed. This M can be adjusted according to different requirements, and specific values are not limited; Y is the initial calculation value input, and this initial calculation value can be given different values according to different situations. For example, during the initial iterative learning, this initial calculation value is the aforementioned base value (for example, the average grate speed within 8 hours backward from the current moment), during the normal iterative process, this initial calculation value is the first speed output in the previous iteration, and if the current working condition is abnormal, this initial calculation value is a preset empirical value.

[0099] In an exemplary embodiment of the present application, through the genetic algorithm, the speed learning of the incinerator grate is introduced. Through this speed learning, the closed-loop control of the current operation of the grate is realized according to the current speed of the grate (which refers to the speed at the beginning of the current grate operation) and the previous operating speed of the grate, and the operating speed of the grate at the next moment during the movement of the grate can be obtained, realizing the automatic coordinated control of the grate.

[0100] In an exemplary embodiment of the present application, when the grate includes the drying grate, the combustion grate, and the burnout grate, the method further includes:

[0101] Every time the first preset duration is learned, calculate the average temperature of the grate within the first preset duration;

[0102] Compare the average temperature with the current temperature of the grate;

[0103] When the value by which the current temperature is greater than the average temperature reaches the first preset temperature threshold, reduce the control speed of the grate by the first preset speed value;

[0104] When the value by which the current temperature is less than the average temperature reaches the second preset temperature threshold, increase the control speed of the grate by the second preset speed value.

[0105] In an exemplary embodiment of the present application, after learning and controlling the speed of the grate through a genetic algorithm, the control can be based on this speed control, and then a fuzzy judgment for determining whether the amount of garbage on the grate is too much or too little can be introduced to correct and adjust the speed of the grate. Specifically, the average temperature of the grate can be calculated after a period of speed closed-loop control (such as the first preset duration mentioned above). When the current temperature of the grate has a large fluctuation compared to this average temperature, it indicates that the amount of garbage is too large or too small. Therefore, the speed of the grate can be adjusted accordingly. This embodiment can be used as a correction scheme for the basic speed closed-loop control of the grate to improve the garbage incineration efficiency, burn as much garbage as possible, and generate more electricity.

[0106] In an exemplary embodiment of the present application, the first preset duration can be defined according to different application scenarios and requirements, and the detailed value of the first preset duration is not limited herein. For example, the first preset duration can include, but is not limited to: 1 - 2 hours. For example, 1 hour can be selected.

[0107] In an exemplary embodiment of the present application, the first preset temperature threshold and the first preset speed value can be positively correlated, that is, the larger the first preset temperature threshold, the larger the first preset speed value; the smaller the first preset temperature threshold, the smaller the first preset speed value. The second preset temperature threshold and the second preset speed value can be positively correlated, that is, the larger the second preset temperature threshold, the larger the second preset speed value; the smaller the second preset temperature threshold, the smaller the second preset speed value.

[0108] In an exemplary embodiment of the present application, the first preset temperature threshold, the first preset speed value, the second preset temperature threshold, and the second preset speed value can all be defined according to different application scenarios, and the detailed values are not limited.

[0109] In an exemplary embodiment of the present application, the drying grate and the burnout grate are taken as examples for illustration below.

[0110] In an exemplary embodiment of the present application, for the drying grate, the first preset temperature threshold can include, but is not limited to: 8℃ - 12℃. For example, 10℃ can be selected. Correspondingly, the first preset speed value can include, but is not limited to: 1 - 3 mm / s (millimeters per second). For example, 1 mm / s can be selected.

[0111] In an exemplary embodiment of the present application, during the automated coordinated control of the drying grate, the average temperature of the drying grate during the speed iterative learning to achieve speed closed-loop control within 1 hour before the current moment can be obtained, and then this average temperature is compared with the current temperature. If the value by which the current temperature exceeds the average temperature reaches 10°C, it indicates that the amount of garbage is small, and the override correction can increase the operating speed of the drying grate by 1 mm / s; similarly, if the value by which the current temperature is lower than the average temperature reaches 10°C, it indicates that the amount of garbage is large, and the override correction can reduce the operating speed of the drying grate by 1 mm / s; correspondingly, if the value by which the current temperature exceeds the average temperature reaches 20°C, the override correction can increase the operating speed of the drying grate by 2 mm / s; similarly, if the value by which the current temperature is lower than the average temperature reaches 20°C, the override correction can reduce the operating speed of the drying grate by 2 mm / s.

[0112] In an exemplary embodiment of the present application, for the burnout grate, the second preset temperature threshold may include, but is not limited to: 8°C - 12°C. For example, 10°C can be selected. Correspondingly, the second preset speed value may include, but is not limited to: 1 - 3 mm / s (millimeters per second). For example, 1 mm / s can be selected.

[0113] In an exemplary embodiment of the present application, during the automated coordinated control of the burnout grate, the average temperature of the burnout grate during the speed iterative learning to achieve speed closed-loop control within 1 hour before the current moment can be obtained, and then this average temperature is compared with the current temperature. If the value by which the current temperature exceeds the average temperature reaches 10°C, it indicates that the amount of garbage is small, and the override correction can increase the operating speed of the burnout grate by 1 mm / s; similarly, if the value by which the current temperature is lower than the average temperature reaches 10°C, it indicates that the amount of garbage is large, and the override correction can reduce the operating speed of the burnout grate by 1 mm / s; correspondingly, if the value by which the current temperature exceeds the average temperature reaches 20°C, the override correction can increase the operating speed of the burnout grate by 2 mm / s; similarly, if the value by which the current temperature is lower than the average temperature reaches 20°C, the override correction can reduce the operating speed of the burnout grate by 2 mm / s.

[0114] In an exemplary embodiment of the present application, when the grate includes the drying grate and the pusher grate, the method may further include:

[0115] Detecting whether the flipping period of the drying grate is equal to a preset period;

[0116] When the value by which the flipping period exceeds the preset period is greater than or equal to a first preset threshold, slowing down the speed of the pusher grate according to the exceeded value.

[0117] In an exemplary embodiment of the present application, the amount of garbage can be judged as being too much or too little based on the time of the flipping action of the drying grate, and the speed of the drying grate can be adjusted accordingly.

[0118] In an exemplary embodiment of the present application, the first preset threshold can be defined by itself according to different application scenarios, and no limitation is made on the detailed value. For example, the first preset threshold can include but is not limited to: 15 - 20 seconds, and specifically 20 seconds can be selected.

[0119] In an exemplary embodiment of the present application, it normally takes 30 seconds for the drying grate to complete one flipping cycle (which can be customized according to different application scenarios). If the flipping cycle exceeds 30 seconds and reaches 50 seconds, that is, the flipping cycle reaches 50 seconds, it indicates that there is too much garbage on the drying grate or the drying grate is jammed, and the speed of the pusher grate can be reduced by 1 mm / s. Among them, the above judgment and correction can be carried out separately for 3 (column grates) drying grates.

[0120] In an exemplary embodiment of the present application, the speed of the grate is comprehensively controlled and corrected through the above - mentioned scheme, so that the pusher speed matches the amount of garbage on the incineration grate, avoiding imbalance.

[0121] In an exemplary embodiment of the present application, the upper and lower protection of the amount of garbage can also be carried out according to the maximum pusher speed and the minimum pusher speed set according to manual experience, avoiding the imbalance of the amount of garbage.

[0122] In an exemplary embodiment of the present application, during the process of speed closed - loop control and correction of the grate, the situation where the garbage composition and calorific value change suddenly is not excluded. The amount of garbage may not meet the requirements. At this time, the following method of (interlock protection, automatic start - stop of the grate) rapid pull - back can be executed, which acts simultaneously with the aforementioned speed closed - loop control and correction process.

[0123] In an exemplary embodiment of the present application, when the pusher grate stops, the pusher speed learning can be temporarily stopped to avoid learning inaccurate speeds.

[0124] In an exemplary embodiment of the present application, when the grate includes the drying grate, the combustion grate and the burnout grate, the method may further include:

[0125] When any one or more of the combined states of the boiler load of the grate, the oxygen content in the flue gas, the running time of the grate, and the temperature at the lower end of the boiler of the grate meet the first preset trigger condition corresponding to the combined state, control the grate to stop automatic operation.

[0126] In an exemplary embodiment of the present application, the first preset trigger condition may include any one or more of the following:

[0127] The boiler load is greater than a first load value; wherein, the first load value may include: the difference between a preset load upper limit and a first value;

[0128] The boiler load is greater than a second load value, the oxygen content in the flue gas is less than a first oxygen content value, and the duration for maintaining the state where the boiler load is greater than the second load value and the oxygen content in the flue gas is less than the first oxygen content value reaches a third preset duration; wherein, the second load value includes: the difference between the load upper limit and a second value, and the first oxygen content value may include: the sum of a preset oxygen content lower limit and a third value; the second value is greater than the first value;

[0129] The boiler load is greater than a third load value, the oxygen content in the flue gas is less than the oxygen content lower limit, and the duration for maintaining the state where the boiler load is greater than the third load value and the oxygen content in the flue gas is less than the oxygen content lower limit reaches a fourth preset duration; wherein, the third load value may include: the difference between a preset load upper limit and a fourth value; the fourth value is greater than the second value;

[0130] The boiler load is greater than a fourth load value and the oxygen content in the flue gas is less than a second oxygen content value, or, the boiler load is greater than the fourth load value and the decrease in the oxygen content in the flue gas reaches a preset decrease threshold value; wherein, the fourth load value may include: the difference between a preset load upper limit and a fifth value, and the second oxygen content value may include: the difference between a preset oxygen content lower limit and a sixth value; the fifth value is greater than the fourth value;

[0131] The temperature at the lower end of the boiler is greater than a first preset temperature.

[0132] In an exemplary embodiment of the present application, for example, when any one or more of the following conditions are met, it can be considered that the amount of garbage is large, and the automatic operation process of the upper grate and the lower grate can be stopped:

[0133] 11. The boiler load (i.e., the main steam flow rate) is greater than (the load upper limit - 0.3 t / h); wherein, the load upper limit may include but is not limited to 35 t / h - 39 t / h, for example, 39 t / h can be selected, and this load upper limit can be defined by itself according to different application scenarios, processes, and requirements, and no limitation is imposed on the detailed values);

[0134] 12. The boiler load is greater than (the load upper limit - 0.5 t / h), and the oxygen content is less than (the oxygen content lower limit + 0.5%), and the duration for which this state can be maintained is at least 5 seconds;

[0135] 13. The boiler load is greater than (the load upper limit - 1.0 t / h), and the oxygen content is less than the oxygen content lower limit, and the duration for which this state can be maintained is at least 5 seconds;

[0136] 14. The boiler load is greater than (load upper limit - 1.5 t / h), and the oxygen content is less than (oxygen content lower limit - 1%) or the decrease in oxygen content exceeds 2.5%.

[0137] 15. The temperature at the lower end of the boiler (selected from three high values) is greater than 1080 °C.

[0138] In an exemplary embodiment of the present application, if any one of the above 5 conditions is triggered, it indicates that there is more garbage. After fully retracting the upper grate that is put into automatic operation, the automatic operation of the upper grate and the lower grate can be automatically stopped; and the feed rate can be reduced to the preset lower feed limit, or the feed speed can be reduced to the preset safe lower limit of the feed speed. When the above 5 conditions are not met, the set feed rate can be restored.

[0139] In an exemplary embodiment of the present application, the method may further include:

[0140] When the boiler load of the grate is less than or equal to a preset first load threshold, the boiler load is in a decreasing state, the oxygen content in the flue gas is in an increasing state, and when the state that the boiler load of the grate is less than or equal to the preset first load threshold, the boiler load is in a decreasing state, and the oxygen content in the flue gas is in an increasing state lasts for at least a fifth preset duration, control the burnout grate to operate automatically.

[0141] In an exemplary embodiment of the present application, for example, when any one or more of the following conditions are met, it can be considered that the amount of garbage is reasonable, and the automatic operation of the lower grate (burnout grate) can be started:

[0142] When the boiler load (main steam flow) is less than (load upper limit - 0.8 t / h), and the load is decreasing and the oxygen content is increasing, it indicates that the amount of garbage is reasonable. When this state can be maintained for at least 5 seconds, the automatic operation of the lower grate can be automatically started.

[0143] In an exemplary embodiment of the present application, the method may further include:

[0144] When the combined state of any one or more of the boiler load of the grate, the oxygen content in the flue gas, and the change trend of the oxygen content in the flue gas meets the second preset trigger condition corresponding to the combined state, control the drying grate and the combustion grate to operate automatically;

[0145] Among them, the second preset trigger condition may include:

[0146] The boiler load is less than a fifth load value, the oxygen content in the flue gas is greater than a third oxygen content value, and the boiler load is in a decreasing state; wherein, the fifth load value includes: the difference between a preset load upper limit and a seventh value; or,

[0147] The boiler load is less than a sixth load value and lasts for a sixth preset duration, the oxygen content in the flue gas is greater than a fourth oxygen content value, and the boiler load is in a decreasing state; wherein, the sixth load value includes: the difference between the load upper limit and an eighth value; the fourth oxygen content value includes: the sum of a preset oxygen content lower limit and a ninth value; the eighth value is less than the seventh value.

[0148] In an exemplary embodiment of the present application, for example, when any one or more of the following conditions are met, it can be considered that the load is reasonable, and the upper grate (drying grate and combustion grate) can be started to operate automatically, avoiding late input and excessive load drop, and also avoiding premature input:

[0149] 21. The boiler load (main steam flow) is less than (load upper limit - 1.2 t / h), the oxygen content is greater than the oxygen content lower limit, and the load is decreasing; wherein, the value of the oxygen content lower limit can be defined by itself according to different application scenarios, processes and requirements, and no specific value is limited. For example, 5% can be selected;

[0150] 22. The boiler load (main steam flow) is less than (load upper limit - 0.9 t / h) and this state lasts for at least 1 minute, the oxygen content is greater than (oxygen content lower limit + 0.5%), and the load is decreasing.

[0151] In an exemplary embodiment of the present application, on the premise of not meeting the foregoing conditions 11 - 15, if any one of the above two conditions 21 and 22 is met, and conditions 21 and 22 can be maintained for at least 5 seconds, the upper grate can be automatically started to operate.

[0152] In an exemplary embodiment of the present application, the method may further include:

[0153] Predict whether the boiler load is too low according to the boiler load, the oxygen content in the flue gas, and a third preset trigger condition;

[0154] When the boiler load and the oxygen content in the flue gas meet the third preset trigger condition, predict that the boiler load is too low, and control the drying grate and the combustion grate to operate automatically;

[0155] Wherein, the third preset trigger condition may include any one or more of the following:

[0156] The boiler load is less than the seventh load value, and the oxygen content in the flue gas is greater than the preset lower limit of the oxygen content; wherein, the seventh load value includes: the difference between the preset load upper limit and the ninth value;

[0157] The boiler load is less than the tenth load value, the oxygen content in the flue gas is greater than the fifth oxygen content value, and the boiler load is in a decreasing state; wherein, the tenth load value includes: the difference between the load upper limit and the tenth value; the fifth oxygen content value includes: the sum of the lower limit of the oxygen content and the eleventh value; the tenth value is less than the ninth value;

[0158] The boiler load is less than the eleventh load value and lasts for the seventh preset duration, the oxygen content in the flue gas is greater than the sixth oxygen content value, and the boiler load is in a decreasing state; wherein, the eleventh load value includes: the difference between the load upper limit and the twelfth value; the sixth oxygen content value includes: the sum of the preset lower limit of the oxygen content and the thirteenth value; the twelfth value is less than the tenth value.

[0159] In an exemplary embodiment of the present application, the strategy of starting and stopping the upper grate and the lower grate can combine the oxygen content to anticipate in advance whether the load is too low, so as to avoid too much load drop when the action is too late.

[0160] In an exemplary embodiment of the present application, for example, when any one or more of the following conditions are met, it can be considered that the load is low, and the automatic operation of the upper grate and the lower grate can be started:

[0161] 31. The boiler load (main steam flow) is less than (load upper limit - 2.0 t / h), and the oxygen content is greater than the lower limit of the oxygen content; wherein, the value of the lower limit of the oxygen content can be defined according to different application scenarios, processes and requirements, and no specific value is limited. For example, 5% can be selected;

[0162] 32. The boiler load (main steam flow) is less than (load upper limit - 1.5 t / h), the oxygen content is greater than (lower limit of the oxygen content + 0.5%), and the load is decreasing;

[0163] 33. The boiler load (main steam flow) is less than (load upper limit - 1.2 t / h) and this state lasts for at least 2 minutes, the oxygen content is greater than (lower limit of the oxygen content + 0.5%), and the load is decreasing;

[0164] In an exemplary embodiment of the present application, when the upper grate put into automatic operation reaches the in-place position (if a single grate exits the automatic mode, this grate does not participate in the in-place judgment), any one of the above conditions 31, 32, 33 is met, and it can maintain for at least 2 minutes, the upper grate and the lower grate can be automatically started to operate.

[0165] In the exemplary embodiments of the present application, the solutions of the embodiments of the present application at least include the following advantages:

[0166] (1) Direct control with DCS reduces the failure points and reduces the PLC, which can reduce the investment and is also convenient for the end - user to maintain.

[0167] (2) During the normal operation of the unit, the commissioning rate of the optimized control system is not less than 95% (not including the process systems that do not have the conditions for automatic control), reducing the labor intensity of operation and production, and improving the process automation level and equipment management level.

[0168] (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 is improved; the automatic control of the waste incineration system eliminates the hysteresis and inaccuracy caused by manual operation.

[0169] (4) By controlling the main steam flow, the air volume of the primary air is adjusted, and the appropriate amount of waste is controlled to enter the incinerator for combustion by using the waste layer thickness, implementing combustion optimization, improving the incineration efficiency, and improving the economy.

[0170] (5) When incinerating waste with different calorific values, moisture contents, and ash contents, the feeding speed and incineration speed are automatically matched through machine learning to solve the problem that waste incineration requires frequent human intervention.

[0171] The embodiments of the present application provide an ACC coordinated control device 1 applicable to the Three - Peak Carthage waste incinerator, as Figure 3 shown, which may include a processor 11 and a computer - readable storage medium 12. Instructions are stored in the computer - readable storage medium 12. When the instructions are executed by the processor 11, the ACC coordinated control method applicable to the Three - Peak Carthage waste incinerator is implemented.

[0172] In the exemplary embodiments of the present application, any of the foregoing embodiments of the ACC coordinated control method applicable to the Three - Peak Carthage waste incinerator can be applied to the device embodiments, and will not be elaborated herein one by one.

[0173] Those of ordinary skill in the art will understand that all or some of the steps in the methods disclosed above, and the functional modules / units in the systems and devices, can be implemented as software, firmware, hardware, and their appropriate combinations. In the hardware implementation, the division between the functional modules / units mentioned above does not necessarily correspond to the division of physical components; for example, one physical component can have multiple functions, or one function or step can be executed by several physical components in cooperation. Some or all of the components can 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 can be distributed on a computer-readable medium, which can include a computer storage medium (or non-transitory medium) and a communication medium (or transitory medium). As is well known to those of ordinary skill 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 includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disks (DVDs) or other optical disk storage, magnetic cassettes, 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, as is well known to those of ordinary skill in the art, 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 transmission mechanism, and can include any information delivery medium.

Claims

1. An ACC coordinated control method for a waste incinerator, characterized in that, The grate of the waste incinerator is directly controlled by a distributed control system (DCS). The method includes: Taking a preset base value as the starting iteration value, and using a preset genetic algorithm to perform iterative learning on the speed of the grate to obtain the first speed of the grate during each operation; Taking the first speed as the control speed of the grate; Wherein, the grate includes any one or more of the following: a pusher grate, a drying grate, a combustion grate, and a burnout grate; the genetic algorithm is an algorithm for closed-loop control of the operating speed of the grate based on the current speed of the grate and the output speed of the previous iteration; the current speed of the grate refers to the speed at the beginning of the current grate operation.

2. The ACC coordinated control method for a waste incinerator according to claim 1, characterized in that When the grate includes the drying grate, the combustion grate, and the burnout grate, the method further includes: Calculating the average temperature of the grate within the first preset time period every time learning is performed; Comparing the average temperature with the current temperature of the grate; When the value by which the current temperature is greater than the average temperature reaches a first preset temperature threshold, reducing the control speed of the grate by a first preset speed value; When the value by which the current temperature is less than the average temperature reaches a second preset temperature threshold, increasing the control speed of the grate by a second preset speed value.

3. The ACC coordination control method for a waste incinerator according to claim 1, wherein When the grate includes the drying grate and the pusher grate, the method further includes: Detecting whether the flipping period of the drying grate is equal to a preset period; When the exceeded value of the flipping period exceeding the preset period is greater than or equal to a first preset threshold, slowing down the speed of the pusher grate according to the exceeded value.

4. The ACC coordination control method for a waste incinerator according to claim 1, characterized in that The base value includes the average speed of the grate within a second preset time period before the current moment; The step of using a preset genetic algorithm to perform iterative learning on the speed of the grate to obtain the first speed of the grate during each operation includes: Detecting whether the input speed signal is normal; When the input speed signal is abnormal, re-acquiring the speed signal; when the input speed signal is normal, detecting whether the current working condition is normal; When the current working condition is normal, inputting the input speed signal into a preset iterative calculation formula, taking the calculation result as the first speed, and taking the first speed as the input for the next iteration; when the current working condition is abnormal, inputting a pre-acquired speed experience value into the iterative calculation formula, taking the calculation result as the first speed.

5. The ACC coordinated control method for a waste incinerator according to any one of claims 1-4, characterized in that, When the grate includes the drying grate, the combustion grate, and the burnout grate, the method further includes: When the combined state of any one or more of the boiler load of the grate, the oxygen content in the flue gas, the operating time of the grate, and the temperature at the lower end of the boiler of the grate meets a first preset trigger condition corresponding to the combined state, controlling the grate to stop automatic operation.

6. The ACC coordinated control method for a waste incinerator according to claim 5, characterized in that, The first preset trigger condition includes any one or more of the following: The boiler load is greater than a first load value; wherein, the first load value includes: the difference between a preset load upper limit and a first value; The boiler load is greater than the second load value, the oxygen content in the flue gas is less than the first oxygen content value, and the duration of maintaining the state where the boiler load is greater than the second load value and the oxygen content in the flue gas is less than the first oxygen content value reaches the third preset duration; wherein, the second load value includes: the difference between the load upper limit and the second value, and the first oxygen content value includes: the sum of the preset oxygen content lower limit and the third value; the second value is greater than the first value; The boiler load is greater than the third load value, the oxygen content in the flue gas is less than the oxygen content lower limit, and the duration of maintaining the state where the boiler load is greater than the third load value and the oxygen content in the flue gas is less than the oxygen content lower limit reaches the fourth preset duration; wherein, the third load value includes: the difference between the preset load upper limit and the fourth value; the fourth value is greater than the second value; The boiler load is greater than the fourth load value and the oxygen content in the flue gas is less than the second oxygen content value, or, the boiler load is greater than the fourth load value and the decrease amount of the oxygen content in the flue gas reaches the preset decrease amount threshold; wherein, the fourth load value includes: the difference between the preset load upper limit and the fifth value, and the second oxygen content value includes: the difference between the preset oxygen content lower limit and the sixth value; the fifth value is greater than the fourth value; The temperature at the lower end of the boiler is greater than the first preset temperature.

7. The ACC coordination control method for a waste incinerator according to claim 5, characterized in that, The method further includes: When the boiler load of the grate satisfies being less than or equal to the preset first load threshold, the boiler load is in a decreasing state, the oxygen content in the flue gas is in an increasing state, and when the state where the boiler load of the grate satisfies being less than or equal to the preset first load threshold, the boiler load is in a decreasing state, and the oxygen content in the flue gas is in an increasing state is maintained for at least the fifth preset duration, control the burnout grate to operate automatically.

8. The ACC coordination control method for a waste incinerator according to claim 5, characterized in that, The method further includes: When the combined state of any one or more of the boiler load, the oxygen content in the flue gas, and the change trend of the oxygen content in the flue gas satisfies the second preset trigger condition corresponding to the combined state, control the drying grate and the combustion grate to operate automatically; Wherein, the second preset trigger condition includes: The boiler load is less than the fifth load value, the oxygen content in the flue gas is greater than the third oxygen content value, and the boiler load is in a decreasing state; wherein, the fifth load value includes: the difference between the preset load upper limit and the seventh value; or, The boiler load is less than the sixth load value and lasts for the sixth preset duration, the oxygen content in the flue gas is greater than the fourth oxygen content value, and the boiler load is in a decreasing state; wherein, the sixth load value includes: the difference between the load upper limit and the eighth value; the fourth oxygen content value includes: the sum of the preset oxygen content lower limit and the ninth value; the eighth value is less than the seventh value.

9. The ACC coordinated control method for a waste incinerator according to claim 5, characterized in that, The method further includes: Predict whether the boiler load is too low according to the boiler load, the oxygen content in the flue gas, and the third preset trigger condition; When the boiler load and the oxygen content in the flue gas meet the third preset trigger condition, it is predicted that the boiler load is too low, and the automatic operation of the drying grate and the combustion grate is controlled; Among them, the third preset trigger condition includes any one or more of the following: The boiler load is less than the seventh load value, and the oxygen content in the flue gas is greater than the preset lower limit of the oxygen content; among them, the seventh load value includes: the difference between the preset load upper limit and the ninth value; The boiler load is less than the tenth load value, the oxygen content in the flue gas is greater than the fifth oxygen content value, and the boiler load is in a decreasing state; among them, the tenth load value includes: the difference between the load upper limit and the tenth value; the fifth oxygen content value includes: the sum of the lower limit of the oxygen content and the eleventh value; the tenth value is less than the ninth value; The boiler load is less than the eleventh load value and lasts for the seventh preset duration, the oxygen content in the flue gas is greater than the sixth oxygen content value, and the boiler load is in a decreasing state; among them, the eleventh load value includes: the difference between the load upper limit and the twelfth value; the sixth oxygen content value includes: the sum of the preset lower limit of the oxygen content and the thirteenth value; the twelfth value is less than the tenth value.

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

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