CN113551231B - Garbage incinerator control method, system, electronic device and storage medium - Google Patents

Garbage incinerator control method, system, electronic device and storage medium Download PDF

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CN113551231B
CN113551231B CN202110839384.6A CN202110839384A CN113551231B CN 113551231 B CN113551231 B CN 113551231B CN 202110839384 A CN202110839384 A CN 202110839384A CN 113551231 B CN113551231 B CN 113551231B
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garbage
incinerator
thickness
layer
garbage incinerator
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CN113551231A (en
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骆嘉辉
王禺辰
姚心
刘海威
杨培培
张瑛华
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China ENFI Engineering Corp
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China ENFI Engineering Corp
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    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
    • F23G—CREMATION FURNACES; CONSUMING WASTE PRODUCTS BY COMBUSTION
    • F23G5/00—Incineration of waste; Incinerator constructions; Details, accessories or control therefor
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
    • F23G—CREMATION FURNACES; CONSUMING WASTE PRODUCTS BY COMBUSTION
    • F23G5/00—Incineration of waste; Incinerator constructions; Details, accessories or control therefor
    • F23G5/44—Details; Accessories
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
    • F23G—CREMATION FURNACES; CONSUMING WASTE PRODUCTS BY COMBUSTION
    • F23G5/00—Incineration of waste; Incinerator constructions; Details, accessories or control therefor
    • F23G5/50—Control or safety arrangements
    • F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
    • F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
    • F23G—CREMATION FURNACES; CONSUMING WASTE PRODUCTS BY COMBUSTION
    • F23G2207/00—Control
    • F23G2207/10—Arrangement of sensing devices
    • F23G2207/114—Arrangement of sensing devices for combustion bed level
    • Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E20/00—Combustion technologies with mitigation potential
    • Y02E20/12—Heat utilisation in combustion or incineration of waste

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

Abstract

The invention provides a garbage incinerator control method, a garbage incinerator control system, electronic equipment and a storage medium, wherein the garbage incinerator control method comprises the following steps: acquiring a thickness index T of a garbage layer of a hearth of a garbage incinerator and incinerator state data; inputting the thickness index T and incinerator state data into a trained machine learning algorithm model to obtain control parameters of the garbage incinerator; and controlling the garbage incinerator according to the control parameters. The method for controlling the garbage incinerator can monitor the thickness index of the garbage layer of the hearth of the garbage incinerator in real time, and intelligently control the garbage incinerator through the thickness index and a machine learning algorithm model, and can solve the problem of excessive dependence on garbage heat value detection in the existing garbage incineration technology, further avoid frequent or periodic detection of the garbage heat value which consumes manpower and material resources, and realize automatic stable operation of the garbage incinerator and automatic incineration control of the garbage incinerator with the environmental protection index reaching the standard.

Description

Garbage incinerator control method, system, electronic device and storage medium
Technical Field
The invention relates to the field of waste incineration, in particular to a method and a system for controlling a waste incinerator, electronic equipment and a storage medium.
Background
The incineration treatment of the garbage has the advantages of good volume reduction effect, waste heat utilization, complete pathogen elimination and the like, and the incineration treatment becomes one of the main methods for urban garbage treatment. When the garbage is incinerated for power generation, if the incineration is insufficient and the temperature cannot be well controlled, carcinogenic gas dioxin can be generated in the combustion process, and the gas has great harm to human bodies and the environment.
In order to remove dioxin generated by incomplete combustion in the waste incineration treatment process, toxic and harmful dioxin gas can be decomposed in a waste gas combustion mode, in order to ensure that the dioxin gas is fully decomposed, a control system of the waste incinerator is required to strictly control the temperature of waste combustion, the retention time of the waste gas in the indoor combustion temperature of more than 850 ℃ is ensured to exceed 2 seconds, the oxygen content is more than 6%, secondary combustion gas is ensured to form rotational flow as far as possible, and thus, the waste gas can be ensured to be combusted more thoroughly and fully. Meanwhile, when the temperature of the exhaust gas is reduced to the range of 300 ℃ to 500 ℃, a small amount of decomposed dioxin may be regenerated. Effective control of harmful substances such as nitric oxide, nitrogen oxide, dioxin and the like discharged in the waste incineration treatment process is a precondition for wide application of waste incineration technology.
The stability of controlling the thickness of the garbage material layer of the incineration hearth is one of the main means for effectively controlling the temperature of the hearth so as to control the load stability of garbage incineration power generation and the pollutant emission to reach the standard. However, with the rapid development of living standard and economy of people, the components of domestic garbage are changed greatly, and in recent years, the domestic garbage has high moisture content and large component fluctuation, and the heat value of the garbage has instability. The stable control of the thickness of the garbage layer is an effective method for coping with the instability of the heat value of the garbage and the thermal stability of the boiler.
The existing control on the thickness of a garbage material layer of a garbage incineration hearth is mainly manually regulated, so that the hysteresis and the inaccuracy of adjustment can be caused.
The even feeding of rubbish can be realized in the device design of the waste incinerator even feed that patent application CN110726145A and patent CN211667828U disclosed, however, the even feed of rubbish can not guarantee the even condition that rubbish burnt in furnace, because rubbish composition and the calorific value that send into at every turn are different, the time of burning also can be different, rubbish has probably appeared burning out fast, the condition of rubbish windrow putty also can appear, no matter what kind of condition appears can all make the unstable condition of appearance of burning the operating mode, can lead to harmful substance's emission to exceed standard in serious time, the waste layer thickness that satisfies national standard waste incinerator furnace for guaranteeing stove uniform temperature and pollutant discharge should be controlled at certain reasonable interval, too thick or too thin can arouse the operating mode unusually.
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 invention and therefore may include information that does not constitute prior art known to a person of ordinary skill in the art.
Disclosure of Invention
Aiming at the problems in the prior art, the invention aims to provide a garbage incinerator control method, a garbage incinerator control system, electronic equipment and a storage medium.
The embodiment of the invention provides a garbage incinerator control method, which comprises the following steps:
acquiring a thickness index T of a garbage layer of a hearth of a garbage incinerator and incinerator state data;
inputting the thickness index T and incinerator state data into a trained machine learning algorithm model to obtain control parameters of the garbage incinerator;
and controlling the garbage incinerator according to the control parameters.
According to some examples of the invention, the obtaining of the thickness index T of the refuse layer of the hearth of the refuse incinerator comprises the following steps:
reading a trash layer thickness sensor to obtain the thickness t of the trash layer;
obtaining a temperature average value T1 of the bottom of the hearth garbage layer;
acquiring a temperature average value T2 of the upper part of an incineration grate;
calculating the thickness index T according to the thickness T of the garbage layer, the temperature mean value T1 and the temperature mean value T2.
According to some examples of the invention, said calculating said thickness indicator T from said thickness T of the refuse layer, said mean temperature value T1 and said mean temperature value T2 comprises the steps of:
normalizing the thickness T of the garbage layer, the temperature mean value T1 and the temperature mean value T2;
the thickness index T is calculated according to the following formula:
t ═ a × T + b × T1+ c × T2, where a, b, and c are preset weighting coefficients.
According to some examples of the invention, the normalization process is a maximum-minimum normalization process.
According to some examples of the invention, the waste layer thickness sensor is a differential pressure transmitter disposed at an inlet of the waste incinerator.
According to some examples of the invention, the incinerator status data comprises at least one of furnace oxygen content, incinerator furnace mean temperature, furnace main steam flow, and pollutant emission data comprising nitrogen oxide concentration or carbon monoxide concentration.
According to some examples of the invention, the control parameters include pusher valve opening, incinerator grate speed, and incinerator exhaust door opening of the waste incinerator.
According to some examples of the present invention, after obtaining the thickness index T of the garbage layer of the hearth of the garbage incinerator and the incinerator state data, the method further comprises the following steps:
pre-processing the incinerator status data.
The embodiment of the invention also provides a garbage incinerator control system, which is used for realizing the garbage incinerator control method and comprises a data module, an algorithm module and a control module, wherein:
the data module is used for acquiring a thickness index T of a garbage layer of a hearth of the garbage incinerator and incinerator state parameters;
the algorithm module is used for inputting the thickness index T and the incinerator state parameters into a trained machine learning algorithm model to obtain control parameters of the garbage incinerator;
and the control module is used for controlling the garbage incinerator according to the control parameters.
An embodiment of the present invention further provides an electronic device, including:
a processor;
a memory having stored therein executable instructions of the processor;
wherein the processor is configured to perform the steps of the waste incinerator control method via execution of the executable instructions.
An embodiment of the present invention also provides a computer-readable storage medium storing a program characterized in that the program realizes the steps of the garbage incinerator control method when executed.
The method for controlling the garbage incinerator can monitor the thickness index of the garbage layer of the hearth of the garbage incinerator in real time, and intelligently control the garbage incinerator through the thickness index and a machine learning algorithm model, can solve the problem of excessive dependence on garbage heat value detection in the existing garbage incineration technology, can control and control the thickness of the garbage layer of the incinerator hearth in real time without additional heat value detection and analysis, and further optimize the stability of incineration power generation load; the control method gets rid of the strong dependence of field operation regulation on operators, realizes the automatic and stable operation of the garbage incinerator, and simultaneously ensures the environmental protection index to reach the standard.
Drawings
Other features, objects, and advantages of the invention will be apparent from the following detailed description of non-limiting embodiments, which proceeds with reference to the accompanying drawings and which is incorporated in and constitutes a part of this specification, illustrating embodiments consistent with the present application and together with the description serve to explain the principles of the application. It is obvious that the drawings in the following description are only some embodiments of the invention, and that for a person skilled in the art, other drawings can be derived from them without inventive effort.
FIG. 1 is a flow chart of a garbage incinerator control method according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of a hearth of a garbage incinerator according to an embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a garbage incinerator control system according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the invention;
fig. 5 is a schematic structural diagram of a computer-readable storage medium according to an embodiment of the present invention.
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.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus their repetitive description 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 invention provides a method for intelligently controlling a garbage incinerator according to the thickness index of a garbage layer of a hearth of the garbage incinerator, which is mainly characterized in that the existing garbage incineration technology comprises the following steps:
when the thickness of the garbage layer of the hearth of the garbage incinerator is too thin, the temperature of the hearth of the garbage incinerator is high for a short time due to the influence of waste heat radiation of a boiler, and high-temperature flame above an incineration grate can burn through the grate to damage the grate; meanwhile, the furnace temperature is greatly reduced after being maintained at a high temperature for a period of time, which in turn causes a reduction in the efficiency of power generation of the incinerator. Under the above circumstances, the manual operation is usually required to increase the thickness of the garbage layer by the opening of the valve of the stoker for increasing the garbage, or to reduce the air volume to slow down the burning speed, however, due to different habits of the control personnel, the excessive input of the garbage is likely to cause the unstable situation that the garbage layer of the incineration furnace chamber is too thick in the next time period.
When the thickness on the waste layer of waste incinerator furnace was too thick, the waste layer of excess thickness can make the waste incineration situation poor, the waste combustion is not abundant, the furnace temperature descends fast by a wide margin, can produce a large amount of dust smog granule black smoke simultaneously, the discharge situation of pollutant is unstable, can lead to the pollutant to discharge to exceed standard and this kind of operating mode influences the each operating mode index of waste incinerator when serious, can lead to burning furnace to be difficult to the recovery normal condition in a long time, influence the situation of the electricity generation load of burning furnace, thereby seriously reduce the efficiency of waste incineration electricity generation. In addition, the garbage layer is too thick, and raw slag is left, so that the follow-up utilization of the residual slag is not up to the standard. Under the above circumstances, manual thinning measures need to be implemented on the garbage in the incineration furnace, processing methods such as material pushing reduction and air volume increase are reduced, and similarly, due to different habits of regulating and controlling personnel, excessive adjustment on the working condition is likely to be performed, so that the working condition that the garbage layer in the incineration furnace is too thin in the next time period occurs.
The situation that the two working conditions are alternately generated is likely to occur due to the fact that manual regulation is excessively relied on in the technology, and therefore the power generation efficiency of the garbage incinerator is greatly reduced.
Fig. 1 is a flowchart of a garbage incinerator control method according to an embodiment of the present invention, the control method specifically includes the following steps:
s100: acquiring a thickness index T of a garbage layer of a hearth of a garbage incinerator and incinerator state data;
s200: inputting the thickness index T and incinerator state data into a trained machine learning algorithm model to obtain control parameters of the garbage incinerator;
s300: and controlling the garbage incinerator according to the control parameters.
The control method can realize the intelligent control of the garbage incinerator by repeating the steps S100 to S300, wherein the thickness index and other state parameters of the garbage layer of the hearth of the garbage incinerator are monitored in real time through the step S100, the thickness index T and the incinerator state data are input into a trained machine learning algorithm model through the step S200 to obtain the control parameters of the garbage incinerator, and finally the garbage incinerator is controlled through the step S300 to realize the automatic smooth operation of the garbage incinerator and the standard reaching of the environment-friendly index during the operation.
The method for obtaining the thickness index T of the garbage layer of the hearth of the garbage incinerator comprises the following steps:
s110: reading a trash layer thickness sensor to obtain the thickness t of the trash layer;
s120: obtaining a temperature average value T1 of the bottom of the hearth garbage layer;
s130: acquiring a temperature average value T2 of the upper part of an incineration grate;
s140: calculating the thickness index T according to the thickness T of the garbage layer, the temperature mean value T1 and the temperature mean value T2. Wherein, step S110, step S120 and step S130 are executed in a non-sequential order.
Step S110, the waste layer thickness sensor is a differential pressure transmitter, and the thickness of the waste is calculated by calculating the pressure change of the differential pressure transmitter, and fig. 2 is a schematic structural diagram of a hearth of the waste incinerator according to an embodiment of the present invention; the trash layer thickness sensor 100 may be provided at an inlet of the garbage incinerator. The larger the value of the sensor of the thickness of the garbage layer is, the thicker the garbage layer at the inlet is, the smaller the value is, and the thinner the garbage layer at the inlet is. The trash layer thickness sensor is not limited to the differential pressure transmitter described above.
Due to the characteristic of heat conduction, the temperature of an incineration grate of the garbage incinerator can be represented by a temperature mean value T1 at the bottom of a hearth garbage layer, and the quantity of garbage on the incineration grate can be directionally displayed; the higher the temperature of the incineration grate is, the more the garbage on the grate is fully incinerated, and the garbage amount is less; the lower the temperature of the incineration grate is, the refuse on the grate is not incinerated in place, and the quantity of the refuse is large, namely the thickness index T and the temperature mean value T1 at the bottom of the refuse layer of the hearth are in a negative correlation relationship. The temperature mean value T1 of the bottom of the hearth waste layer can be read by at least one temperature sensor 200 arranged at the bottom of the waste layer, in practice, a plurality of temperature sensors 200 can be arranged at different positions of the bottom of the waste layer according to the structure of the garbage incinerator, and the temperature mean value T1 can be the mean value of the temperatures at the bottom positions of a plurality of different waste layers at a certain time point (section).
Similarly, due to the characteristics of heat conduction, the upper temperature of the incineration grate of the garbage incinerator, i.e. the average value T2 of the upper temperature of the incineration grate in the invention, can also display the combustion condition of the garbage in the hearth in a directional manner. The average value T2 of the temperature of the upper part of the incineration grate is read by at least one temperature sensor 300 arranged at the bottom of the waste layer, in practice, a plurality of temperature sensors 300 may be arranged at different positions of the upper part of the incineration grate according to the structure of the waste incinerator, and the average value T2 may be the average value of the temperatures at the positions at a certain time point (section). The thickness indicator T is also inversely related to the average temperature T2 of the upper portion of the incineration grate
The control parameters in the step S300 may include the pusher valve opening of the garbage incinerator, the incinerator grate speed, and the incinerator exhaust door opening. Here, it is understood that the pusher is connected to the inlet of the waste incinerator, and that the connection is provided with a valve for controlling the amount of pusher, and that the opening of the pusher valve affects the amount of waste pushed into the incinerator, and thus the thickness T of the waste layer at the inlet of the incinerator, and that the velocity of the incinerator grate and the opening of the incinerator exhaust can affect the velocity of the waste incineration, and accordingly the temperature mean T1 at the bottom of the waste layer of the hearth and the temperature mean T2 at the upper part of the incinerator grate.
Further, the step S140 of calculating the thickness index T according to the thickness T of the garbage layer, the temperature mean T1 and the temperature mean T2 includes the following steps:
s141: and normalizing the thickness T of the garbage layer, the temperature mean value T1 and the temperature mean value T2, wherein the normalization treatment is maximum and minimum normalization treatment or other treatment modes.
S142: the thickness index T is calculated according to the following formula:
t ═ a × T + b × T1+ c × T2, where a, b, and c are preset weighting coefficients.
The reason why the thickness index T is calculated by the above formula is: in practice, due to the influence of coking, the accuracy of the garbage layer thickness sensor 100 is not enough, and the temperature mean value T1 and the temperature mean value T2 are introduced to assist in judging the thickness of the garbage layer in the hearth.
The method for calculating the thickness index T is further illustrated in the following embodiment, the sum of the absolute values of the preset weight coefficients is 1, and since the thickness index T and the temperature average T1 of the bottom of the hearth refuse layer and the temperature average T2 of the upper part of the incineration grate are in a negative correlation relationship, the correlation weights b and C are set to be negative values, in this embodiment, the preset weight coefficients may be a ═ 0.5, b ═ 0.4, and C ═ 0.1.
The value ranges of T, T1 and T2 are set according to [ 0-0.5 ], [ 50-400 ] and [ 800-:
when the thickness T of the garbage layer obtained from the garbage layer thickness sensor is 0.1, the temperature average value T1 at the bottom of the garbage layer of the hearth is 350 ℃ and the temperature average value T2 at the upper part of the incineration grate is 1100 ℃, after the maximum and minimum normalization treatment, T is 0.2, T1 is 0.857 and T2 is 0.75, and then the thickness index T is 0.5, 0.2-0.4, 0.857-0.1, 0.75 is-0.3178. The thickness index T is a negative value, which means that the thickness of the garbage layer is too thin and seriously lacks materials, the trained machine learning algorithm model outputs an advised value of +0.5 to the pusher, an advised value of +10 to the speed of the incineration grate, and an advised value of-10 to the opening of the air exhaust door of the incinerator according to the thickness index T, and then the control statement is input into a control loop of the garbage incinerator through a control module to be adjusted, so that the effects of increasing the pushing of the pusher, increasing the speed of the incineration grate, enabling the garbage layer on the incineration grate to rapidly advance and simultaneously reducing the air exhaust quantity of the incinerator are achieved, and the thickness of the garbage layer of the hearth is kept in a reasonable range.
When the thickness T of the garbage layer obtained from the garbage layer thickness sensor is 0.25, the temperature average T1 at the bottom of the garbage layer of the hearth is 250 ℃, and the temperature average T2 at the upper part of the incineration grate is 1000 ℃, after the maximum and minimum normalization treatment, the thickness index T is 0.5, T1 is 0.571, and the thickness index T is 0.5-0.4, 0.571-0.1, 0.5-0.0284 when the T2 is 0.5. The thickness index T is close to zero, which means that the thickness of the garbage layer is moderate at the moment, the trained machine learning algorithm model outputs an advised value of +0 to the material pusher, an advised value of +0 to the speed of the incineration grate, and an advised value of +0 to the opening of the incineration air door, and then the control statement is input into a control loop of the garbage incinerator through a control module to be adjusted, so that the purposes of stabilizing the pushing of garbage and the speed of the incineration grate, enabling the garbage on the fuel grate to be uniformly and stably combusted, and stabilizing the exhaust air volume of the incinerator are achieved, and the thickness of the garbage layer of the hearth is guaranteed to be maintained in a reasonable range.
When the thickness T of the garbage layer obtained from a garbage layer thickness sensor is 0.4, the temperature average value T1 at the bottom of the garbage layer of a hearth is 100 ℃, and the temperature average value T2 at the upper part of an incineration grate is 800 ℃, after the maximum and minimum normalization processing, T is 0.8, T1 is 0.25, the thickness index T when T2 is 0 is 0.5, 0.8-0.4, 0.25-0.1, 0.3, the thickness index T is a positive value, which means that the thickness of the garbage layer is too thick, the combustion process is slow, a trained machine learning algorithm model outputs a suggested value of-0.5 to a stoker according to the thickness index T at the moment, outputs a suggested value of-10 to the incineration speed, outputs a suggested value of +10 to the opening of the incineration air door, and then the control statement is input into a control loop of the garbage incinerator through a control module for regulation so as to reduce the incineration speed and push the garbage grate, the fuel on the incinerator grate is slowed down and advanced, the fuel is fully combusted, the effect of auxiliary combustion of the exhaust air volume of the incinerator is increased, and therefore the reasonable range of the thickness of the garbage layer in the hearth is maintained.
In step S100, the incinerator state data includes at least one of a furnace oxygen content, an incinerator furnace average temperature, a furnace main steam flow rate, and pollutant emission data, and the pollutant emission data includes a nitrogen oxide concentration or a carbon monoxide concentration. The incinerator state data related to the machine learning algorithm model can be set according to an actual use scene, and certainly, after the thickness index T of a garbage layer of a hearth of the garbage incinerator and the incinerator state data are obtained in practice, the method can further comprise the following steps: pre-processing the incinerator status data. Such as removing abnormal operation data according to distribution statistics of each incinerator state data attribute.
Meanwhile, due to the different structures of the used garbage incinerators and the different positions of the garbage layer thickness sensor 100, the plurality of temperature sensors 200 and the plurality of temperature sensors 300, the training data of the actual machine learning algorithm model will be different, and correspondingly, the parameters of the trained machine learning algorithm model will be different. That is, for a specific garbage incinerator, a specific machine learning algorithm model needs to be obtained through data training, so that the operating state of the garbage incinerator is in a stable operation state and the environmental protection index reaches the standard. In the invention, the machine learning algorithm model may be, for example, a convolutional neural network based on deep learning, or a model using a decision tree, a support vector machine, a random forest, or the like.
An embodiment of the present invention further provides a garbage incinerator control system, which is used for implementing the garbage incinerator control method, and fig. 3 is a schematic structural diagram of the garbage incinerator control system according to an embodiment of the present invention; specifically, the garbage incinerator control system comprises a data module M100, an algorithm module M200 and a control module M300, wherein:
the data module M100 is used for acquiring a thickness index T of a garbage layer of a hearth of the garbage incinerator and incinerator state parameters;
the algorithm module M200 is used for inputting the thickness index T and the incinerator state parameters into a trained machine learning algorithm model to obtain control parameters of the garbage incinerator;
the control module M300 is configured to control the garbage incinerator according to the control parameter.
The function implementation manner of each function module in the garbage incinerator control system of the embodiment can be implemented by adopting the specific implementation manner of each step in the garbage incinerator control method. For example, the data module M100, the algorithm module M200, and the control module M300 may respectively adopt the specific implementation manners of the steps S100 to S300 to implement the functions thereof, which are not described herein again. The operation of the garbage incinerator control system does not need to consider the change of the garbage heat value, thereby avoiding the frequent or staged detection of the garbage heat value which consumes manpower and material resources and realizing the automatic incineration control of the garbage incinerator.
An electronic device 600 according to this embodiment of the invention is described below with reference to fig. 4. The electronic device 600 shown in fig. 4 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. 4, the electronic device 600 is embodied in the form of a general purpose computing device. The components of the electronic device 600 may include, but are not limited to: at least one processing unit 610, at least one memory unit 620, a bus 630 connecting the different platform components (including the memory unit 620 and the processing unit 610), a display unit 640, etc.
Wherein the storage unit stores program code which can be executed by the processing unit 610 such that the processing unit 610 performs the steps according to various exemplary embodiments of the present invention as described in the above-mentioned method section of the present specification. For example, processing unit 610 may perform the steps as shown in fig. 1.
The storage unit 620 may include readable media in the form of volatile memory units, such as a random access memory unit (RAM)6201 and/or a cache memory unit 6202, and may further include a read-only memory unit (ROM) 6203.
The memory unit 620 may also include a program/utility 6204 having a set (at least one) of program modules 6205, such program modules 6205 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 630 may be one or more 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 600 may also communicate with one or more external devices 700 (e.g., keyboard, pointing device, bluetooth device, etc.), with one or more devices that enable a user to interact with the electronic device 600, and/or with any devices (e.g., router, modem, etc.) that enable the electronic device 600 to communicate with one or more other computing devices. Such communication may occur via an input/output (I/O) interface 650. Also, the electronic device 600 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 660. The network adapter 660 may communicate with other modules of the electronic device 600 via the bus 630. It should be understood that although not shown in the figures, other hardware and/or software modules may be used in conjunction with the electronic device 600, including but not limited to: microcode, device drivers, redundant processing units, external disk drive arrays, RAID systems, tape drives, and data backup storage platforms, to name a few.
Embodiments of the present invention also provide a computer-readable storage medium storing a program that is executed to implement the steps of the garbage incinerator control method. In some possible embodiments, the various 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 the various exemplary embodiments of the invention described in the method part above of this description when said program product is run on the terminal device.
Referring to fig. 5, a program product 800 for implementing the above method according to an embodiment of the present invention is described, which may employ a portable compact disc read only memory (CD-ROM) and include program code, 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 diskette, 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 storage 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 storage 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 storage 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).
In summary, the present invention provides a method, a system, an electronic device and a storage medium for controlling a garbage incinerator, wherein the method comprises the following steps: acquiring a thickness index T of a garbage layer of a hearth of a garbage incinerator and incinerator state data; inputting the thickness index T and incinerator state data into a trained machine learning algorithm model to obtain control parameters of the garbage incinerator; and controlling the garbage incinerator according to the control parameters. The method for controlling the garbage incinerator can monitor the thickness index of the garbage layer of the hearth of the garbage incinerator in real time, and intelligently control the garbage incinerator through the thickness index and a machine learning algorithm model, and can solve the problem of excessive dependence on garbage heat value detection in the existing garbage incineration technology, further avoid frequent or periodic detection of the garbage heat value which consumes manpower and material resources, and realize automatic stable operation of the garbage incinerator and automatic incineration control of the garbage incinerator with the environmental protection index reaching the standard.
The foregoing is a further detailed description of the invention in connection with specific preferred embodiments and it is not intended to limit the invention to the specific embodiments described. It will be evident to those skilled in the art that the present application is not limited to the details of the foregoing illustrative embodiments, and that the present application may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the application being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned. Furthermore, it is obvious that the word "comprising" does not exclude other elements or steps, and the singular does not exclude the plural. A plurality of units or means recited in the apparatus claims may also be implemented by one unit or means in software or hardware. The terms first, second, etc. are used to denote names, but not any particular order.

Claims (10)

1. A garbage incinerator control method is characterized by comprising the following steps:
acquiring a thickness index T of a garbage layer of a hearth of a garbage incinerator and incinerator state data;
the method for acquiring the thickness index T of the garbage layer of the hearth of the garbage incinerator comprises the following steps:
reading a trash layer thickness sensor to obtain the thickness t of the trash layer;
obtaining a temperature average value T1 of the bottom of the hearth garbage layer;
acquiring a temperature average value T2 of the upper part of a combustion grate;
calculating the thickness index T according to the thickness T of the garbage layer, the temperature mean value T1 and the temperature mean value T2;
inputting the thickness index T and incinerator state data into a trained machine learning algorithm model to obtain control parameters of the garbage incinerator;
and controlling the garbage incinerator according to the control parameters.
2. A waste incinerator control method according to claim 1, wherein said calculating said thickness indicator T from said thickness T of said waste layer, said temperature mean T1 and said temperature mean T2 includes the steps of:
normalizing the thickness T of the garbage layer, the temperature mean value T1 and the temperature mean value T2;
the thickness index T is calculated according to the following formula:
t ═ a × T + b × T1+ c × T2, where a, b, and c are preset weighting coefficients.
3. The garbage incinerator control method according to claim 2, wherein said normalization processing is maximum-minimum normalization processing.
4. The method of controlling a garbage incinerator according to claim 1, wherein said garbage layer thickness sensor is a differential pressure transmitter provided at an inlet of the garbage incinerator.
5. The waste incinerator control method of claim 1 wherein said incinerator status data includes at least one of furnace oxygen content, incinerator furnace mean temperature, furnace main steam flow and pollutant emission data including nitrogen oxide concentration or carbon monoxide concentration.
6. The garbage incinerator control method according to claim 1, wherein said control parameters include pusher valve opening, combustion grate speed and combustion furnace exhaust gate opening of the garbage incinerator.
7. The garbage incinerator control method according to claim 1, characterized by obtaining the incinerator state data and the thickness index T of the garbage layer in the incinerator furnace, further comprising the steps of:
pre-processing the incinerator status data.
8. A garbage incinerator control system for implementing the garbage incinerator control method of any one of claims 1 to 7, characterized by comprising a data module, an algorithm module and a control module, wherein:
the data module is used for acquiring a thickness index T of a garbage layer of a hearth of the garbage incinerator and incinerator state parameters;
the algorithm module is used for inputting the thickness index T and the incinerator state parameters into a trained machine learning algorithm model to obtain control parameters of the garbage incinerator;
and the control module is used for controlling the garbage incinerator according to the control parameters.
9. An electronic device, comprising:
a processor;
a memory having stored therein executable instructions of the processor;
wherein the processor is configured to perform the steps of the waste incinerator control method of any one of claims 1 to 7 via execution of said executable instructions.
10. A computer-readable storage medium storing a program, wherein the program when executed by a processor implements the steps of the garbage incinerator control method of any one of claims 1 to 7.
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