CN111174220A - Control method, device and system for hazardous waste incineration system - Google Patents

Control method, device and system for hazardous waste incineration system Download PDF

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Publication number
CN111174220A
CN111174220A CN202010082714.7A CN202010082714A CN111174220A CN 111174220 A CN111174220 A CN 111174220A CN 202010082714 A CN202010082714 A CN 202010082714A CN 111174220 A CN111174220 A CN 111174220A
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gas flow
target temperature
hazardous waste
waste incineration
burner
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王笑千
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China ENFI Engineering Corp
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China ENFI Engineering Corp
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    • FMECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F23COMBUSTION APPARATUS; COMBUSTION PROCESSES
    • F23GCREMATION FURNACES; CONSUMING WASTE PRODUCTS BY COMBUSTION
    • F23G5/00Incineration of waste; Incinerator constructions; Details, accessories or control therefor
    • F23G5/50Control or safety arrangements

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  • General Engineering & Computer Science (AREA)
  • Incineration Of Waste (AREA)

Abstract

The disclosure provides a control method, a device and a system for a hazardous waste incineration system. The control method of the hazardous waste incineration system comprises the following steps: acquiring a first position target temperature and a second position target temperature; determining a first position burner gas flow and a second position burner gas flow according to the first position target temperature, the second position target temperature and a preset data processing model; and controlling the hazardous waste incineration control system according to the gas flow of the first position burner and the gas flow of the second position burner. The embodiment of the disclosure can improve the incineration efficiency of the hazardous waste incineration system.

Description

Control method, device and system for hazardous waste incineration system
Technical Field
The disclosure relates to the technical field of environmental protection equipment, in particular to a control method, a device and a system for a hazardous waste incineration system.
Background
The core of the process control system for treating the hazardous waste is the control of the incineration process, namely, the flow of various fuels and air is controlled to adjust the combustion process, the combustion temperature is ensured to be stabilized at a set value, and the fluctuation does not exceed the allowable deviation, so that the incineration process is ensured to meet the temperature required by the process. If the temperature is lower than the required temperature, the process is difficult to carry out next procedure and the quality of waste treatment is affected; if the furnace temperature is higher, the fuel is wasted, the furnace life is reduced, the burning loss is increased, and even the equipment is over-burnt and scrapped.
The conventional temperature control system utilizes the deviation of the actual measured value and the preset value to adjust the waste treatment amount and the combustion-supporting fuel amount so as to realize the constant temperature of the hearth. However, the heating value and water content of the dangerous waste to be treated are changed violently, and the change trends of the charging and the temperature are not consistent, so that the control effect in the actual treatment process is not ideal.
In the related art, a scheme for realizing real-time monitoring, analysis and optimization of a hazardous waste incineration treatment system by applying a fuzzy control technology exists, but the effect of the scheme has many problems. In the aspect of a fuzzy controller, as the input quantity is large, the fuzzy rules are large, the realization of the fuzzy controller is complicated, the operation is complex, the real-time calculation and the implementation control are difficult to realize on the basis of the existing controller, the requirement on the controller is high, and the equipment cost is greatly improved.
Therefore, it is necessary and important to design a reasonable combustion process control strategy.
It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
The present disclosure provides a hazardous waste incineration system control method and a hazardous waste incineration system control system, which are used to overcome, at least to some extent, the problems of multivariable coupling, pure hysteresis, slow parameter time-varying, frequent disturbance, etc. in the hazardous waste combustion treatment process due to the limitations and disadvantages of the related art.
According to a first aspect of the present disclosure, there is provided a hazardous waste incineration system control method, comprising:
obtaining a first location target temperature and a second location target temperature, the first location and the second location both being process locations in a hazardous waste combustion system;
determining a first position burner gas flow and a second position burner gas flow according to the first position target temperature, the second position target temperature and a preset data processing model;
and controlling the hazardous waste incineration control system according to the gas flow of the first position burner and the gas flow of the second position burner.
In an exemplary embodiment of the present disclosure, the preset data processing model includes:
Figure BDA0002380874560000021
wherein A is1(x)、A2(x)、B11(x)、B21(x)、B12(x)、B22(x)、C1(x)、C2(x) X are model parameters, y1Is a first position target temperature, y2Is the second position target temperature u1For the first position burner gas flow u2For the second position burner gas flow, epsilon1、ε2Are all mean zero and variance σ2K is the control order.
In an exemplary embodiment of the present disclosure, the first position is a rotary kiln and the second position is a secondary combustion chamber.
In an exemplary embodiment of the present disclosure, the training process of the preset data processing model includes:
acquiring a plurality of groups of training data, wherein each group of training data comprises the first position target temperature, the second position target temperature, the first position burner gas flow and the second position burner gas flow which are measured at the same time;
bringing the multiple groups of training data into the preset data processing model to obtain model parameters A1(x)、A2(x)、B11(x)、B21(x)、B12(x)、B22(x)、C1(x)、C2(x)、x。
According to a second aspect of the present disclosure, there is provided a hazardous waste incineration system control device, comprising:
a target setting module configured to obtain a first position target temperature and a second position target temperature;
the parameter determining module is used for determining the gas flow of the first position burner and the gas flow of the second position burner according to the first position target temperature, the second position target temperature and a preset data processing model;
and the parameter control module is arranged for controlling the hazardous waste incineration control system according to the gas flow of the first position burner and the gas flow of the second position burner.
In an exemplary embodiment of the present disclosure, the preset data processing model includes:
Figure BDA0002380874560000031
wherein A is1(x)、A2(x)、B11(x)、B21(x)、B12(x)、B22(x)、C1(x)、C2(x) X are model parameters, y1Is a first position target temperature, y2Is the second position target temperature u1For the first position burner gas flow u2For the second position burner gas flow, epsilon1、ε2Are all mean zero and variance σ2K is the control order.
In an exemplary embodiment of the present disclosure, the first position is a rotary kiln and the second position is a secondary combustion chamber.
In an exemplary embodiment of the present disclosure, the hazardous waste incineration system control device further includes:
a model training module configured to obtain a plurality of sets of training data, each set of training data including the first position target temperature, the second position target temperature, the first position burner gas flow, and the second position burner gas flow measured at the same time; bringing the multiple groups of training data into the preset data processing model to obtain model parameters A1(x)、A2(x)、B11(x)、B21(x)、B12(x)、B22(x)、C1(x)、C2(x)、x。
According to a third aspect of the present disclosure, there is provided a hazardous waste incineration system control system, comprising: the feeding module comprises a natural gas feeding port, a high-calorific-value waste liquid feeding port, a low-calorific-value waste liquid feeding port, a barreled medical waste feeding port, a bulk waste feeding port, a large waste feeding port, a lifter, a feeding mechanism, a material pit, a crusher and a crane; the combustion module comprises a rotary kiln, a rotary kiln combustor, a rotary kiln combustion-supporting fan, a material tank slag outlet, high-temperature melting, a secondary combustion chamber combustor and a secondary combustion chamber combustion-supporting fan; the flue gas treatment module comprises a waste heat boiler, a quench tower, a dry deacidification tower, a bag-type dust remover, a two-stage wet washing tower, a flue gas heater, an induced draft fan, an SNCR (selective non catalytic reduction) system, boiler water supply, quench water supply, a lime adding system, an activated carbon adding system and a condensed water recycling device; a memory; a processor coupled to the memory and the combustion module, the processor configured to perform a method as in any above based on instructions stored in the memory.
According to a fourth aspect of the present disclosure, there is provided a computer-readable storage medium having stored thereon a program which, when executed by a processor, implements a hazardous waste incineration system control method as in any one of the above.
According to the embodiment of the disclosure, the trained data processing model is used for assisting in determining the control parameters of the hazardous waste combustion system, so that the problems of multivariable coupling, pure hysteresis, slow parameter time variation, frequent interference and the like can be solved, and the defects of large calculated amount, poor real-time performance, high requirement on the performance of the controller and the like caused by using a complex calculation formula are overcome, and the combustion efficiency is improved by effectively applying the conventional controller.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. It is to be understood that the drawings in the following description are merely exemplary of the disclosure, and that other drawings may be derived from those drawings by one of ordinary skill in the art without the exercise of inventive faculty.
FIG. 1 is a flow chart of a hazardous waste incineration system control method in an exemplary embodiment of the disclosure.
FIG. 2 is a block diagram of a hazardous waste combustion system to which embodiments of the present disclosure are applied.
FIG. 3 is a flow chart of a training process for a predictive data processing model.
FIG. 4 is a block diagram of a hazardous waste incineration system control in an exemplary embodiment of the disclosure.
FIG. 5 is a block diagram of an electronic device in an exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known technical solutions have not been shown or described in detail to avoid obscuring aspects of the present disclosure.
Further, the drawings are merely schematic illustrations of the present disclosure, in which the same reference numerals denote the same or similar parts, and thus, a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.
The following detailed description of exemplary embodiments of the disclosure refers to the accompanying drawings.
Fig. 1 schematically illustrates a flow chart of a hazardous waste incineration system control method in an exemplary embodiment of the present disclosure. Referring to fig. 1, a hazardous waste incineration system control method 100 may include:
step S102, acquiring a first position target temperature and a second position target temperature;
step S104, determining the gas flow of a first position burner and the gas flow of a second position burner according to the first position target temperature, the second position target temperature and a preset data processing model;
and S106, controlling the hazardous waste incineration control system according to the gas flow of the first position burner and the gas flow of the second position burner.
According to the embodiment of the disclosure, the trained data processing model is used for assisting in determining the control parameters of the hazardous waste combustion system, so that the defects of insufficient combustion and fuel waste caused by manual control in the related technology, large calculated amount, poor real-time performance, high requirement on the performance of the controller and the like caused by the use of a complex calculation formula can be overcome, and the combustion efficiency is improved by effectively applying the conventional controller.
FIG. 2 is a block diagram of a hazardous waste combustion system to which embodiments of the present disclosure are applied.
Referring to fig. 2, hazardous waste combustion system 200 may include three major parts of feed module 21, combustion module 22, and flue gas treatment module 23, as well as processor 24 coupled to combustion module 22 and memory 25 coupled to the processor.
The feeding module 21 may include a feeding port for natural gas, high calorific value waste liquid, low calorific value waste liquid, barreled medical waste, bulk waste and the like, and a feeding device such as a lifter, a feeding mechanism, a material pit, a crusher, a traveling crane and the like. The combustion module 22 may include a rotary kiln, a rotary kiln burner, a rotary kiln combustion fan, a bucket slag hole, a high temperature melting, a secondary combustion chamber burner, a secondary combustion chamber combustion fan, and the like. The flue gas treatment module 23 may include a waste heat boiler, a quench tower, a dry deacidification tower, a bag-type dust collector, a two-stage wet scrubber, a flue gas heater, an induced draft fan, an SNCR system, boiler water supply, quench water supply, a lime adding system, an activated carbon adding system, condensed water recycling devices, and the like.
The processor 24 is used for executing the control method shown in fig. 1 to control the system 200 to operate, and the memory 25 is used for storing codes for executing the control method shown in fig. 1.
In order to better control the combustion efficiency, in the embodiment of the disclosure, the rotary kiln is used as a first position for controlling the temperature of the rotary kiln, the rotary kiln burner is used as a first position burner for controlling the temperature of the rotary kiln, the second combustion chamber is used as a second position for controlling the temperature of the rotary kiln, and the second combustion chamber burner is used as a second position burner for controlling the temperature of the rotary kiln.
That is, the target temperature of the rotary kiln and the target temperature of the secondary combustion chamber, which can maximize the combustion efficiency and minimize the fuel waste, can be determined by calculation in advance according to the material usage and the feed amount, and then the gas flow of the rotary kiln burner and the gas flow of the secondary combustion chamber, which can control the temperature of the rotary kiln and the temperature of the secondary combustion chamber, are determined according to the preset data processing model, so that the temperature of the rotary kiln and the temperature of the secondary combustion chamber can reach the calculated target temperature of the rotary kiln and the calculated target temperature of the secondary combustion chamber by adjusting the gas flow of the rotary kiln burner and the gas flow of the secondary combustion chamber burner.
Because the target temperature is calculated in real time and the model parameters of the data model are determined, the data model can determine the gas flow of the combustion chamber at each position in real time, and has the advantages of high instantaneity, high accuracy and the like.
In the embodiment of the present disclosure, the used preset data processing model is a data processing model improved based on a cari (Controlled Auto-Regressive Integrated Moving Average) model:
Figure BDA0002380874560000061
wherein A is1(x)、A2(x)、B11(x)、B21(x)、B12(x)、B22(x)、C1(x)、C2(x) X are model parameters, y1Is a first position target temperature, y2Is the second position target temperature u1For the first position burner gas flow u2For the second position burner gas flow, epsilon1、ε2Are all mean zero and variance σ2K is the control order.
Compared with the traditional CARIMA model, the embodiment of the disclosure changes the generalized prediction algorithm aiming at the multivariate characteristics of the hazardous waste combustion system, adjusts the multivariate characteristics into a two-input and two-output model, and sets the white noise parameter epsilon for adjusting the system adaptive value1、ε2. The white noise parameter can be set by the model application personnel (for example, set as a constant) to better adjust the data processing model so that the data processing model can be better adapted to different systems and solve the problems of multivariable coupling, pure hysteresis, parameter time variation and the like existing in the controlled object.
The data processing model applied by the embodiment of the disclosure is established based on system identification. The system identification is to determine a model equivalent to the system under test from a class of models based on input and output data. The system identifies three elements-data, model class, and criteria. The main contents identified by the system include: identifying experimental designs, model structure determination, parameter estimation, model verification, and the like. The classical method of system identification is combined with the classical control theory. The classical control theory analyzes a single-input single-output system, and common system models are a weight function, a transfer function and a frequency characteristic. The classical method of identification is usually based on experimental determination of non-parametric models of the system, such as step response, impulse response, and frequency response.
Fig. 3 is a training process of the preset data processing model.
Referring to fig. 3, the training process 300 of the predictive data processing model may include:
step S1, obtaining a plurality of groups of training data, wherein each group of training data comprises the first position target temperature, the second position target temperature, the first position burner gas flow and the second position burner gas flow which are measured at the same time;
step S2, bringing the multiple groups of training data into the preset data processing model to obtain model parameters A1(x)、A2(x)、B11(x)、B21(x)、B12(x)、B22(x)、C1(x)、C2(x)、x。
Wherein A is1(x)、A2(x)、B11(x)、B21(x)、B12(x)、B22(x)、C1(x)、C2(x) For example, each may be a data matrix, x ═ z-1Where z is an operator.
To sum up, on the basis of the field data, the embodiment of the present disclosure establishes a data processing model by using a system identification method for the rotary kiln and the secondary combustion chamber in the hazardous waste incineration process, so as to solve the problems of multivariable coupling, pure hysteresis, parameter time variation and the like existing in the controlled object, ensure the safety of human bodies and equipment in the whole production process, reduce the production cost, improve the combustion efficiency, inhibit external interference, and effectively keep the long-term stable operation of the production process.
Corresponding to the method embodiment, the disclosure also provides a hazardous waste incineration system control device which can be used for executing the method embodiment.
Fig. 4 schematically shows a block diagram of a hazardous waste incineration system control device in an exemplary embodiment of the disclosure.
Referring to fig. 4, the hazardous waste incineration system control apparatus 400 may include:
a target setting module 402 configured to obtain a first position target temperature and a second position target temperature;
a parameter determination module 404 configured to determine a first position burner gas flow and a second position burner gas flow according to the first position target temperature, the second position target temperature, and a preset data processing model;
and the parameter control module 406 is configured to control the hazardous waste incineration control system according to the first position burner gas flow and the second position burner gas flow.
In an exemplary embodiment of the present disclosure, the preset data processing model includes:
Figure BDA0002380874560000081
wherein A is1(x)、A2(x)、B11(x)、B21(x)、B12(x)、B22(x)、C1(x)、C2(x) X are model parameters, y1Is a first position target temperature, y2Is the second position target temperature u1For the first position burner gas flow u2For the second position burner gas flow, epsilon1、ε2Are all mean zero and variance σ2K is the control order.
In an exemplary embodiment of the present disclosure, the first position is a rotary kiln and the second position is a secondary combustion chamber.
In an exemplary embodiment of the present disclosure, the hazardous waste incineration system control device further includes:
a model training module 408 configured to obtain a plurality of sets of training data, each set of training data including the first position target temperature, the second position target temperature, the first position burner gas flow, and the second position burner gas flow measured at the same time; bringing the multiple groups of training data into the preset data processing model to obtain model parameters A1(x)、A2(x)、B11(x)、B21(x)、B12(x)、B22(x)、C1(x)、C2(x)、x。
Since the functions of the apparatus 400 have been described in detail in the corresponding method embodiments, the disclosure is not repeated herein.
It should be noted that although in the above detailed description several modules or units of the device for action execution are mentioned, such a division is not mandatory. Indeed, the features and functionality of two or more modules or units described above may be embodied in one module or unit, according to embodiments of the present disclosure. Conversely, the features and functions of one module or unit described above may be further divided into embodiments by a plurality of modules or units.
In an exemplary embodiment of the present disclosure, an electronic device capable of implementing the above method is also provided.
As will be appreciated by one skilled in the art, aspects of the present invention may be embodied as a system, method or program product. Thus, various aspects of the invention may be embodied in the form of: an entirely hardware embodiment, an entirely software embodiment (including firmware, microcode, etc.) or an embodiment combining hardware and software aspects that may all generally be referred to herein as a "circuit," module "or" system.
An electronic device 500 according to this embodiment of the invention is described below with reference to fig. 5. The electronic device 500 shown in fig. 5 is only an example and should not bring any limitation to the functions and the scope of use of the embodiments of the present invention.
As shown in fig. 5, the electronic device 500 is embodied in the form of a general purpose computing device. The components of the electronic device 500 may include, but are not limited to: the at least one processing unit 510, the at least one memory unit 520, and a bus 530 that couples various system components including the memory unit 520 and the processing unit 510.
Wherein the storage unit stores program code that is executable by the processing unit 510 to cause the processing unit 510 to perform steps according to various exemplary embodiments of the present invention as described in the above section "exemplary methods" of the present specification. For example, the processing unit 510 may perform the steps as shown in fig. 1.
The memory unit 520 may include a readable medium in the form of a volatile memory unit, such as a random access memory unit (RAM)5201 and/or a cache memory unit 5202, and may further include a read only memory unit (ROM) 5203.
Storage unit 520 may also include a program/utility 5204 having a set (at least one) of program modules 5205, such program modules 5205 including, but not limited to: an operating system, one or more application programs, other program modules, and program data, each of which, or some combination thereof, may comprise an implementation of a network environment.
Bus 530 may be one or more of any of several types of bus structures including a memory unit bus or memory unit controller, a peripheral bus, an accelerated graphics port, a processing unit, or a local bus using any of a variety of bus architectures.
The electronic device 500 may also communicate with one or more external devices 600 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 500, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 500 to communicate with one or more other computing devices. Such communication may occur via input/output (I/O) interfaces 550. Also, the electronic device 500 may communicate with one or more networks (e.g., a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the internet) via the network adapter 560. As shown, the network adapter 560 communicates with the other modules of the electronic device 500 over the bus 530. It should be appreciated that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 500, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage systems, among others.
Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution according to the embodiments of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.) or on a network, and includes several instructions to enable a computing device (which may be a personal computer, a server, a terminal device, or a network device, etc.) to execute the method according to the embodiments of the present disclosure.
In an exemplary embodiment of the present disclosure, there is also provided a computer-readable storage medium having stored thereon a program product capable of implementing the above-described method of the present specification. In some possible embodiments, aspects of the invention may also be implemented in the form of a program product comprising program code means for causing a terminal device to carry out the steps according to various exemplary embodiments of the invention described in the above section "exemplary methods" of the present description, when said program product is run on the terminal device.
The program product for implementing the above method according to an embodiment of the present invention may employ a portable compact disc read only memory (CD-ROM) and include program codes, and may be run on a terminal device, such as a personal computer. However, the program product of the present invention is not limited in this regard and, in the present document, a readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device.
The program product may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium include: an electrical connection having one or more wires, a portable disk, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
A computer readable signal medium may include a propagated data signal with readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A readable signal medium may also be any readable medium that is not a readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device.
Program code embodied on a readable medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing.
Program code for carrying out operations for aspects of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device and partly on a remote computing device, or entirely on the remote computing device or server. In the case of a remote computing device, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., through the internet using an internet service provider).
Furthermore, the above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the invention, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

Claims (10)

1. A hazardous waste incineration system control method, comprising:
obtaining a first location target temperature and a second location target temperature, the first location and the second location both being process locations in a hazardous waste combustion system;
determining a first position burner gas flow and a second position burner gas flow according to the first position target temperature, the second position target temperature and a preset data processing model;
and controlling the hazardous waste incineration control system according to the gas flow of the first position burner and the gas flow of the second position burner.
2. The hazardous waste incineration system control method of claim 1, wherein the preset data processing model comprises:
Figure FDA0002380874550000011
wherein A is1(x)、A2(x)、B11(x)、B21(x)、B12(x)、B22(x)、C1(x)、C2(x) X are model parameters, y1Is a first position target temperature, y2Is the second position target temperature u1For the first position burner gas flow u2For the second position burner gas flow, epsilon1、ε2Are all mean zero and variance σ2K is the control order.
3. The hazardous waste incineration system control method of claim 1, wherein the first position is a rotary kiln and the second position is a secondary combustion chamber.
4. The hazardous waste incineration system control method of claim 1, wherein the training process of the preset data processing model includes:
acquiring a plurality of groups of training data, wherein each group of training data comprises the first position target temperature, the second position target temperature, the first position burner gas flow and the second position burner gas flow which are measured at the same time;
bringing the multiple groups of training data into the preset data processing model to obtain model parameters A1(x)、A2(x)、B11(x)、B21(x)、B12(x)、B22(x)、C1(x)、C2(x)、x。
5. A hazardous waste incineration system control device, comprising:
a target setting module configured to obtain a first position target temperature and a second position target temperature;
the parameter determining module is used for determining the gas flow of the first position burner and the gas flow of the second position burner according to the first position target temperature, the second position target temperature and a preset data processing model;
and the parameter control module is arranged for controlling the hazardous waste incineration control system according to the gas flow of the first position burner and the gas flow of the second position burner.
6. The hazardous waste incineration system control device of claim 5, wherein the preset data processing model comprises:
Figure FDA0002380874550000021
wherein A is1(x)、A2(x)、B11(x)、B21(x)、B12(x)、B22(x)、C1(x)、C2(x) X are model parameters, y1Is a first position target temperature, y2Is the second position target temperature u1For the first position burner gas flow u2For the second position burner gas flow, epsilon1、ε2Are all mean zero and variance σ2K is the control order.
7. The hazardous waste incineration system control device of claim 5, wherein the first position is a rotary kiln and the second position is a secondary combustion chamber.
8. The hazardous waste incineration system control device of claim 5, further comprising:
a model training module configured to obtain a plurality of sets of training data, each set of training data including the first position target temperature, the second position target temperature, the first position burner gas flow, and the second position burner gas flow measured at the same time; bringing the multiple groups of training data into the preset data processing model to obtain model parameters A1(x)、A2(x)、B11(x)、B21(x)、B12(x)、B22(x)、C1(x)、C2(x)、x。
9. A hazardous waste incineration system control system, comprising:
the feeding module comprises a natural gas feeding port, a high-calorific-value waste liquid feeding port, a low-calorific-value waste liquid feeding port, a barreled medical waste feeding port, a bulk waste feeding port, a large waste feeding port, a lifter, a feeding mechanism, a material pit, a crusher and a crane;
the combustion module comprises a rotary kiln, a rotary kiln combustor, a rotary kiln combustion-supporting fan, a material tank slag outlet, high-temperature melting, a secondary combustion chamber combustor and a secondary combustion chamber combustion-supporting fan;
the flue gas treatment module comprises a waste heat boiler, a quench tower, a dry deacidification tower, a bag-type dust remover, a two-stage wet washing tower, a flue gas heater, an induced draft fan, an SNCR (selective non catalytic reduction) system, boiler water supply, quench water supply, a lime adding system, an activated carbon adding system and a condensed water recycling device;
a memory;
a processor coupled to the memory and the combustion module, the processor configured to execute the hazardous waste incineration system control method of any one of claims 1-4 based on instructions stored in the memory.
10. A computer-readable storage medium on which a program is stored, the program implementing the hazardous waste incineration system control method according to any one of claims 1 to 4 when executed by a processor.
CN202010082714.7A 2020-02-07 2020-02-07 Control method, device and system for hazardous waste incineration system Pending CN111174220A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112146106A (en) * 2020-10-21 2020-12-29 湖南鑫恒环境科技有限公司 Medical waste treatment and disposal system and method

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112146106A (en) * 2020-10-21 2020-12-29 湖南鑫恒环境科技有限公司 Medical waste treatment and disposal system and method

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