CN117029002A - Cloud computing-based intelligent control system and method for garbage incineration - Google Patents
Cloud computing-based intelligent control system and method for garbage incineration Download PDFInfo
- Publication number
- CN117029002A CN117029002A CN202311085393.6A CN202311085393A CN117029002A CN 117029002 A CN117029002 A CN 117029002A CN 202311085393 A CN202311085393 A CN 202311085393A CN 117029002 A CN117029002 A CN 117029002A
- Authority
- CN
- China
- Prior art keywords
- garbage
- blocks
- incinerator
- garbage blocks
- temperature
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 25
- 238000002485 combustion reaction Methods 0.000 claims abstract description 54
- 239000000446 fuel Substances 0.000 claims abstract description 11
- 238000012544 monitoring process Methods 0.000 claims abstract description 6
- 230000000087 stabilizing effect Effects 0.000 claims abstract description 4
- 239000007789 gas Substances 0.000 claims description 61
- 230000036284 oxygen consumption Effects 0.000 claims description 49
- 238000001035 drying Methods 0.000 claims description 48
- 239000000463 material Substances 0.000 claims description 48
- 230000001276 controlling effect Effects 0.000 claims description 28
- 238000010248 power generation Methods 0.000 claims description 25
- QVGXLLKOCUKJST-UHFFFAOYSA-N atomic oxygen Chemical compound [O] QVGXLLKOCUKJST-UHFFFAOYSA-N 0.000 claims description 9
- 230000006835 compression Effects 0.000 claims description 9
- 238000007906 compression Methods 0.000 claims description 9
- 238000001125 extrusion Methods 0.000 claims description 9
- 239000001301 oxygen Substances 0.000 claims description 9
- 229910052760 oxygen Inorganic materials 0.000 claims description 9
- 230000008569 process Effects 0.000 claims description 7
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 claims description 7
- 230000009471 action Effects 0.000 claims description 6
- 238000000605 extraction Methods 0.000 claims description 6
- 230000001105 regulatory effect Effects 0.000 claims description 6
- 230000001502 supplementing effect Effects 0.000 claims description 6
- 238000011049 filling Methods 0.000 claims description 4
- 239000002994 raw material Substances 0.000 claims description 4
- 230000000630 rising effect Effects 0.000 claims description 3
- 238000005457 optimization Methods 0.000 claims 3
- 239000010865 sewage Substances 0.000 claims 3
- 239000000047 product Substances 0.000 description 8
- 230000005611 electricity Effects 0.000 description 3
- 238000010586 diagram Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 239000000126 substance Substances 0.000 description 2
- 230000002159 abnormal effect Effects 0.000 description 1
- 230000001133 acceleration Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000001514 detection method Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000003912 environmental pollution Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000008595 infiltration Effects 0.000 description 1
- 238000001764 infiltration Methods 0.000 description 1
- 239000013589 supplement Substances 0.000 description 1
- 239000002352 surface water Substances 0.000 description 1
Classifications
-
- 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
- F23G5/02—Incineration of waste; Incinerator constructions; Details, accessories or control therefor with pretreatment
- F23G5/033—Incineration of waste; Incinerator constructions; Details, accessories or control therefor with pretreatment comminuting or crushing
-
- 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
- F23G5/02—Incineration of waste; Incinerator constructions; Details, accessories or control therefor with pretreatment
- F23G5/04—Incineration of waste; Incinerator constructions; Details, accessories or control therefor with pretreatment drying
-
- 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
- F23N—REGULATING OR CONTROLLING COMBUSTION
- F23N3/00—Regulating air supply or draught
- F23N3/002—Regulating air supply or draught using electronic means
-
- 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
- F23G2207/101—Arrangement of sensing devices for temperature
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23G—CREMATION FURNACES; CONSUMING WASTE PRODUCTS BY COMBUSTION
- F23G2207/00—Control
- F23G2207/30—Oxidant supply
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F23—COMBUSTION APPARATUS; COMBUSTION PROCESSES
- F23G—CREMATION FURNACES; CONSUMING WASTE PRODUCTS BY COMBUSTION
- F23G2900/00—Special features of, or arrangements for incinerators
- F23G2900/55—Controlling; Monitoring or measuring
- F23G2900/55011—Detecting the properties of waste to be incinerated, e.g. heating value, density
Landscapes
- Engineering & Computer Science (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Chemical & Material Sciences (AREA)
- Combustion & Propulsion (AREA)
- Incineration Of Waste (AREA)
Abstract
The invention relates to the technical field of garbage incineration, in particular to a cloud computing-based intelligent garbage incineration control system and a cloud computing-based intelligent garbage incineration control method, which comprise the following steps: the garbage compressing device comprises a garbage compressing module, a garbage classifying module, a combustion control module, a feeding control module and a feedback adjusting module, wherein the garbage compressing module is used for storing and compressing garbage, the garbage classifying module is used for recording characteristics of garbage blocks, cutting and classifying the garbage blocks according to cloud fitting data, the combustion control module is used for calculating the requirements of the incinerator on garbage fuel, the garbage blocks and air are fed into the garbage compressing module, the feeding control module is used for stabilizing working data of the incinerator, the feedback adjusting module is used for monitoring data of a tail gas tower and a generator and feeding the data back to a control system, and working parameters of the incinerator are adjusted.
Description
Technical Field
The invention relates to the technical field of garbage incineration, in particular to a cloud computing-based intelligent garbage incineration control system and method.
Background
The most common methods in China are landfill and incineration when urban garbage is treated, but landfill not only occupies land, but also causes environmental pollution due to infiltration of harmful substances in garbage into water. Compared with landfill, the land is saved by the garbage incineration, the surface water and the underground water are not polluted, and the energy generated by burning garbage can be used for generating electricity to supplement urban electric power. In the current background of urban acceleration, garbage incineration has become an important link in garbage disposal.
When the garbage incinerator works, garbage is firstly dried through the upper layer fire grate, and then is sent into the combustion chamber through the lower layer fire grate for combustion. However, in the incineration process, because the heat values of the combustion of different kinds of garbage are different, the quantity of the garbage filled into the garbage is often judged according to the experience of workers, and the heat generated by the incinerator is unstable, so that the steam pressure used for generating electricity is also unstable, and the electricity generation quality is affected.
The existing garbage control system adjusts the temperature of the incinerator and the thickness of a material pile by controlling the speed of throwing garbage, but the problem of excessive throwing is easily caused due to hysteresis in the detection of the temperature of the incinerator. In addition, the oxygen consumption of different garbage is different, the problem of insufficient garbage incineration easily occurs due to too little air supply of the primary fan, and extra electric energy is consumed when the air supply is too much or secondary air supply is started, so that the working efficiency of a factory is affected.
Disclosure of Invention
The invention aims to provide a cloud computing-based intelligent control system and method for garbage incineration, which are used for solving the problems in the background technology.
In order to solve the technical problems, the invention provides a cloud computing-based intelligent control system for garbage incineration, which comprises the following technical scheme: the garbage collection device comprises a garbage compression module, a garbage classification module, a combustion control module, a feeding control module and a feedback adjustment module;
the garbage compression module is used for storing garbage to be incinerated, extracting the garbage from the garbage pool according to the feeding condition of the upper layer fire grate, compressing the garbage into garbage blocks with the same volume through extrusion, and inputting the garbage blocks into the upper layer fire grate;
the garbage classification module is used for conveying garbage to a last fire grate, drying garbage blocks by using the furnace temperature, recording characteristic information before and after the garbage blocks are dried, uploading the characteristic information of the garbage blocks to a cloud end, fitting combustion information of the garbage blocks, and cutting and classifying the garbage blocks according to the combustion information;
the combustion control module is used for calculating the condition of the incinerator on the garbage fuel through the cloud, feeding garbage blocks with corresponding heat, feeding air, enabling the temperature of the incinerator to rise to a preset temperature at the highest speed, detecting the working data of the incinerator through a sensor arranged in the incinerator, and calculating control parameters according to the working data;
The feeding control module is used for intelligently selecting an adjustment strategy according to the returned control parameters, stabilizing the working data of the incinerator, and adjusting the working efficiency of the primary fan according to the flame temperature and the oxygen consumption of the thrown garbage so that the air quantity of the primary fan can meet the combustion requirement of the garbage at any time;
the feedback adjustment module is used for monitoring working data of the tail gas tower and the generator after the garbage is combusted, feeding back the monitored working conditions to the control system, adjusting control parameters of the incinerator, adjusting classification standards of garbage blocks and updating the cloud database;
further, the garbage compression module includes: a garbage storage unit and a garbage block generation unit;
the garbage storage unit is used for storing garbage to be burned in the garbage pool;
the garbage block generating unit is used for extracting garbage from the garbage pool, compressing the garbage into garbage blocks with the same volume through extrusion, and inputting the compressed garbage blocks into the upper layer fire grate;
further, the garbage classification module includes: the device comprises a fire grate drying unit, a cloud prediction unit and a garbage block classification unit;
the grate drying unit is used for preheating the incinerator, drying the garbage blocks sent to the upper layer grate through the furnace temperature, and recording the characteristic information of the garbage blocks, wherein the characteristic information comprises: the weight of the garbage blocks before and after drying, the volume of the garbage blocks before and after drying and the average temperature of the garbage blocks during drying;
The cloud prediction unit is used for uploading the characteristic information of the garbage blocks to the cloud, searching in a cloud database, fitting out the garbage types most similar to the current garbage blocks, and estimating the combustion information of the current garbage blocks, wherein the combustion information comprises: the heat value of the garbage blocks and the oxygen consumption of the garbage blocks;
the garbage block classifying unit is used for classifying garbage blocks according to the heat value and the oxygen consumption of the garbage blocks and cutting the garbage blocks into small blocks with different weights and equal heat values according to the heat value of the garbage blocks;
further, the combustion control module includes: the furnace opening unit and the cloud computing unit;
the furnace opening unit is used for throwing the garbage blocks into the incinerator from high to low according to the heat value until the total heat of the garbage blocks thrown into the incinerator is equal to the heat for raising the temperature of the incinerator to a preset temperature, and the primary air blower is controlled to send corresponding amount of air, so that the garbage is ignited, and the incinerator starts to work;
the cloud computing unit is used for computing heat required by the incinerator to be raised to the preset temperature at the cloud according to the preset temperature input by a user; after the incinerator works, the working data of the incinerator are detected through a sensor arranged in the incinerator, and the working data comprise: the temperature of the incinerator, the thickness of the material pile and the volume of air fed in, and the working data are transmitted to a feeding control module;
Further, the feeding control module comprises: the intelligent adjusting unit, the control operation unit and the air supply unit;
the intelligent regulation unit is used for calculating control parameters according to the returned working data, and intelligently selecting an adjustment strategy to stabilize the working data of the incinerator at the fastest speed, wherein the adjustment strategy comprises the following steps: controlling the throwing speed of a throwing port, controlling the throwing type of garbage blocks, and using a winch or further cutting the garbage blocks;
the control operation unit is used for carrying out feeding control according to the determined adjustment strategy, so that newly fed garbage can be covered on the original stockpile for combustion;
the air supply unit is used for calculating the working efficiency of the primary air blower according to the oxygen consumption of the input garbage, so that the air blower can send corresponding quantity of air;
further, the feedback adjustment module includes: the working condition feedback unit and the data adjustment unit;
the working condition feedback unit is used for detecting data of the tail gas tower and the power generation tower and feeding the data back to the control system, and the data of the tail gas tower comprises: the temperature of the tail gas, the content of organic matters in the tail gas and the oxygen content in the tail gas; the data of the power generation tower comprises: steam pressure and turbine efficiency;
the data adjustment unit is used for adjusting control parameters of the system and a cloud database according to the data of the power generation tower and the tail gas tower, and updating the classification standard of the garbage blocks so that the system is more accurate;
A cloud computing-based intelligent control method for garbage incineration comprises the following steps:
s100, storing the garbage to be treated into a garbage pool, extracting the garbage from the garbage pool according to the feeding condition of an upper layer fire grate, compressing the garbage into garbage blocks with the same volume, and inputting the compressed garbage blocks into the upper layer fire grate; adding a igniting material into the incinerator, igniting the igniting material, and enabling the incinerator to start preheating;
s200, enabling the garbage blocks compressed in the step S100 to enter an upper layer fire grate, drying the garbage blocks by using furnace temperature, recording characteristic information of the garbage blocks, uploading the characteristic information of the garbage blocks to a cloud end, searching in a database by the cloud end, fitting the type of garbage most similar to the current garbage blocks, estimating combustion information of the current garbage blocks, classifying the garbage blocks according to the estimated information, and cutting the garbage blocks into small garbage blocks with different volumes but equal heat;
s300, inputting a preset temperature of the incinerator by a user, calculating the requirement of the incinerator on garbage fuel by a cloud end, putting garbage blocks classified in the step S200 into the incinerator from high to low according to a heat value until the total heat of the garbage blocks put into the incinerator is equal to the heat for raising the temperature of the incinerator to the preset temperature, controlling a primary air blower to send corresponding amount of air, and igniting garbage to enable the incinerator to start working; in the working process, the working data of the incinerator is detected through a sensor on the incinerator, and the working data is sent to a control system of the step S400;
S400, the cloud calculates corresponding control parameters according to the working data detected in the step S300, and intelligently selects an adjustment strategy to keep the working data of the incinerator stable; meanwhile, the working efficiency of the primary air blower is adjusted according to the temperature of the incinerator and the oxygen consumption of the thrown garbage, so that the air supply quantity of the primary air blower can meet the combustion requirement of the garbage at any time;
s500, monitoring working data of the tail gas tower and the generator after the garbage is burnt in real time, feeding back the monitored working conditions to the control system, calibrating the working data of the incinerator in the step S300, adjusting the classification standard of the garbage blocks in the step S200, and updating the cloud database;
further, step S100 includes:
s101, storing garbage to be treated into a garbage pool, detecting the occupation condition of an upper layer fire grate, and sending out an extraction command when detecting that the upper layer fire grate has a space;
s102, after receiving an extraction command, extracting garbage from a garbage pool, compressing the garbage into garbage blocks with the same volume V1 by extrusion, and inputting the compressed garbage blocks into an upper layer fire grate;
s103, adding a igniting material into the incinerator, igniting the igniting material to start preheating the incinerator, and recording the detected furnace temperature as C0 after the igniting material is burnt out;
Further, step S200 includes:
step S201, enabling the garbage blocks compressed in the step S100 to enter an upper layer fire grate, drying the garbage blocks by using the furnace temperature, and recording characteristic information of the garbage blocks, wherein the characteristic information comprises: the weight G1 of the garbage blocks before drying, the weight G2 of the garbage blocks after drying, the volume V1 of the garbage blocks before drying, the volume V2 of the garbage blocks after drying and the average temperature C1 of the garbage blocks during drying;
s202, uploading feature information of the garbage blocks to a cloud end, searching in a cloud end database, fitting out garbage types most similar to the current garbage blocks, and estimating combustion information of the current garbage blocks, wherein the combustion information comprises the following components: the heat value J of the garbage blocks and the oxygen consumption P of the garbage blocks;
s203, classifying the garbage blocks according to the estimated heat value range and oxygen consumption range of the garbage blocks; cutting the garbage blocks into small garbage blocks with different weights and total heat quantity of Q according to the estimated heat value of the garbage blocks, wherein Q is a system preset value, and returning the rest part with heat quantity less than Q to a garbage pool after the garbage blocks are completely cut;
further, step S300 includes:
s301, inputting a preset temperature T0 of an incinerator by a user, calculating heat Q0 required for rising the incinerator to the preset temperature by a cloud end, and determining the number n of blocks of garbage fuel, wherein n is a value obtained by rounding Q0/Q upwards;
S302, putting the small garbage blocks cut in the n steps S203 into an incinerator according to the weight sequence from small to large, controlling a primary fan to send air, wherein the volume V < 3 > =P1/K of the sent air is the sum of the total oxygen consumption of all the small garbage blocks sent into the incinerator, the total oxygen consumption is the product of the oxygen consumption of garbage and the weight of the garbage, and K is the oxygen content of the input air;
s303, igniting small garbage blocks in the incinerator, determining that the furnace temperature is T1 after all filled garbage blocks are burnt out, if T1 is less than T0, calculating heat Q1 needed to be supplemented by the incinerator, continuously filling m small garbage blocks, and updating a cloud database, wherein m is a value obtained by rounding Q1/Q upwards, if T1 is more than T0, introducing excessive cold air into the furnace, reducing the furnace temperature to T, and updating the cloud database, and if T1 = T0, not adjusting;
step S304, after the incinerator reaches a preset temperature, charging power generation water to be heated into the top end of the incinerator, and detecting working data of the incinerator through a sensor on the incinerator, wherein the working data comprise: the temperature T of the incinerator, the thickness S of the material pile and the volume V of the air fed;
further, step S400 includes:
s401, the cloud computing corresponding control parameters according to the working data detected in the S300, wherein the control parameters comprise: temperature regulating quantity and material pile supplementing quantity; the temperature regulating quantity T2 = T-T0, wherein T is the current temperature of the incinerator, T0 is the preset temperature input by a user into the incinerator, the material pile supplementing quantity S2 = S-S0, S is the current thickness of the material pile, S0 is the current ideal thickness, S0 = Wherein V0 is the volume of the incinerator, V is the volume of air currently fed, and D is the bottom area of the incinerator;
s402, selecting an adjustment strategy according to the control parameters, wherein the adjustment strategy comprises the following steps: controlling the throwing speed of a throwing port, controlling the throwing type of garbage blocks, and using a winch or further cutting the garbage blocks;
if T2 is less than 0 and S2 is less than 0, calculating heat Q2 required for adjusting temperature, further calculating the number of added garbage blocks n1=q2/Q, and when the calculated n1 is not an integer, further cutting the last small garbage block to enable the heat of the input garbage block to just meet the requirement, and simultaneously selecting the type of the input garbage according to the current thickness V of the material pile to enable the total oxygen consumption P2 of the input garbage to be:
P2=（V0-V-|S2*D|）*K
controlling a feeding port to feed n1 garbage blocks with total oxygen consumption of P2;
if T2 is more than or equal to 0 and S2 is less than or equal to 0, calculating redundant heat Q3 of the incinerator, calculating the number n2 of added garbage blocks, enabling the total volume of the garbage blocks added into the incinerator to be equal to |S2| D|, selecting the type of garbage to be added, and enabling the average heat value of the garbage blocks to be addedWherein J2 is the average heat value of the garbage which is put into the furnace, g1 is the total mass of the garbage blocks which are about to be put into the incinerator, g2 is the total mass of the garbage which is put into the furnace, n1 garbage blocks with the average heat value of J1 are put into a material inlet, and the garbage blocks are covered on a raw material pile for combustion;
If T2 is more than or equal to 0 and S2 is more than 0, stopping the feeding action of the feeding port until the temperature is reduced to a preset temperature T0 or the thickness of the material pile is reduced to S0;
if T2 is less than 0 and S2 is more than 0, a winch in the incinerator is used for winch the material pile, the contact area of garbage and air is increased, garbage combustion is accelerated until the temperature is increased to a preset temperature T0 or the thickness of the material pile is reduced to S0;
s403, recording the total oxygen consumption P3 of the input garbage by the system, and controlling the power of the primary fan to ensure that the fed air quantity V4 always meets the following conditions: v4=p3×k;
further, in step S500, data of the tail gas tower and the power generation tower are detected, and the data are fed back to the control system, where the data of the tail gas tower includes: the temperature of the tail gas, the content of organic matters in the tail gas and the oxygen content in the tail gas; the data of the power generation tower comprises: steam pressure and turbine efficiency; according to the data of the power generation tower and the tail gas tower, when the temperature of the tail gas is lower than a threshold value, the content of organic matters in the tail gas is higher than the threshold value or the product of the steam pressure and the turbine efficiency is lower than the threshold value, the preset temperature T0 is increased, when the temperature of the tail gas is higher than the threshold value, the content of organic matters in the tail gas is lower than the threshold value or the product of the steam pressure and the turbine efficiency is lower than the threshold value, the preset temperature T0 is reduced, the actual heat value and the actual oxygen consumption of the input garbage are calculated, a cloud database is updated, and the classification standard of garbage blocks is reset, so that the system is more accurate;
Compared with the prior art, the invention has the following beneficial effects:
according to the invention, the types of garbage can be intelligently judged through the cloud database according to the weight, the water content and other information of the garbage, different types of garbage are classified and compressed, the heat value and the oxygen consumption information of each garbage block are calculated, and the size of the garbage block is adjusted according to the types of the garbage, so that the problem that the heat of the garbage is difficult to quantify is solved to a certain extent.
According to the invention, the sensor embedded in the incinerator can intelligently sense the furnace temperature, the furnace pressure, the thickness of the material pile and the combustion condition of garbage, the feeding speed is controlled according to the actual condition or different kinds of garbage are put into the incinerator to be covered on the original material pile for combustion, the purposes of adjusting the furnace temperature, the furnace pressure and the thickness of the material pile are realized, meanwhile, the air quantity of the primary fan can be calculated according to the oxygen consumption when the put garbage is completely combusted, the working efficiency of the primary fan is controlled, the use of the secondary fan is reduced, and the power generation efficiency is improved for a factory.
The invention can analyze the change of the furnace temperature and the components of the tail gas after the garbage incineration, feed back the analysis result to the front-end controller, adjust the estimated values of the heat value and the oxygen consumption of different garbage, re-determine the system parameters and classify the garbage blocks, improve the feeding accuracy and avoid the generation of abnormal working conditions.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
FIG. 1 is a schematic diagram of a garbage incineration intelligent control system based on cloud computing;
FIG. 2 is a schematic diagram of steps of a cloud computing-based intelligent control method for garbage incineration;
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention provides the following technical solutions: cloud computing-based intelligent control system for garbage incineration, comprising: the garbage collection device comprises a garbage compression module, a garbage classification module, a feeding control module, a combustion control module and a feedback adjustment module;
the garbage compression module is used for storing garbage to be incinerated, extracting the garbage from the garbage pool according to the feeding condition of the upper layer fire grate, compressing the garbage into garbage blocks with the same volume through extrusion, and inputting the garbage blocks into the upper layer fire grate;
The garbage compression module comprises: a garbage storage unit and a garbage block generation unit;
the garbage storage unit is used for storing garbage to be burned in the garbage pool;
the garbage block generating unit is used for extracting garbage from the garbage pool, compressing the garbage into garbage blocks with the same volume through extrusion, and inputting the compressed garbage blocks into the upper layer fire grate;
the garbage classification module is used for conveying garbage to a last fire grate, drying garbage blocks by using the furnace temperature, recording characteristic information before and after the garbage blocks are dried, uploading the characteristic information of the garbage blocks to a cloud end, fitting combustion information of the garbage blocks, and cutting and classifying the garbage blocks according to the combustion information;
the garbage classification module comprises: the device comprises a fire grate drying unit, a cloud prediction unit and a garbage block classification unit;
the grate drying unit is used for preheating the incinerator, drying the garbage blocks sent to the upper layer grate through the furnace temperature, and recording the characteristic information of the garbage blocks, wherein the characteristic information comprises: the weight of the garbage blocks before and after drying, the volume of the garbage blocks before and after drying and the average temperature of the garbage blocks during drying;
the cloud prediction unit is used for uploading the characteristic information of the garbage blocks to the cloud, searching in a cloud database, fitting out the garbage types most similar to the current garbage blocks, and estimating the combustion information of the current garbage blocks, wherein the combustion information comprises: the heat value of the garbage blocks and the oxygen consumption of the garbage blocks;
The garbage block classifying unit is used for classifying garbage blocks according to the heat value and the oxygen consumption of the garbage blocks and cutting the garbage blocks into small blocks with different weights and equal heat values according to the heat value of the garbage blocks;
the combustion control module is used for calculating the condition of the incinerator on the garbage fuel through the cloud, feeding garbage blocks with corresponding heat, feeding air, enabling the temperature of the incinerator to rise to a preset temperature at the highest speed, detecting the working data of the incinerator through a sensor arranged in the incinerator, and calculating control parameters according to the working data;
the combustion control module includes: the furnace opening unit and the cloud computing unit;
the furnace opening unit is used for throwing the garbage blocks into the incinerator from high to low according to the heat value until the total heat of the garbage blocks thrown into the incinerator is equal to the heat for raising the temperature of the incinerator to a preset temperature, and the primary air blower is controlled to send corresponding amount of air, so that the garbage is ignited, and the incinerator starts to work;
the cloud computing unit is used for computing heat required by the incinerator to be raised to the preset temperature at the cloud according to the preset temperature input by a user; after the incinerator works, the working data of the incinerator are detected through a sensor arranged in the incinerator, and the working data comprise: the temperature of the incinerator, the thickness of the material pile and the volume of air fed in, and the working data are transmitted to a feeding control module;
The feeding control module is used for intelligently selecting an adjustment strategy according to the returned control parameters, stabilizing the working data of the incinerator, and adjusting the working efficiency of the primary fan according to the flame temperature and the oxygen consumption of the thrown garbage so that the air quantity of the primary fan can meet the combustion requirement of the garbage at any time;
the feeding control module comprises: the intelligent adjusting unit, the control operation unit and the air supply unit;
the intelligent regulation unit is used for calculating control parameters according to the returned working data, and intelligently selecting an adjustment strategy to stabilize the working data of the incinerator at the fastest speed, wherein the adjustment strategy comprises the following steps: controlling the throwing speed of a throwing port, controlling the throwing type of garbage blocks, and using a winch or further cutting the garbage blocks;
the control operation unit is used for carrying out feeding control according to the determined adjustment strategy, so that newly fed garbage can be covered on the original stockpile for combustion;
the air supply unit is used for calculating the working efficiency of the primary air blower according to the oxygen consumption of the input garbage, so that the air blower can send corresponding quantity of air;
the feedback adjustment module is used for monitoring working data of the tail gas tower and the generator after the garbage is combusted, feeding back the monitored working conditions to the control system, adjusting control parameters of the incinerator, adjusting classification standards of garbage blocks and updating the cloud database;
The feedback adjustment module includes: the working condition feedback unit and the data adjustment unit;
the working condition feedback unit is used for detecting data of the tail gas tower and the power generation tower and feeding the data back to the control system, and the data of the tail gas tower comprises: the temperature of the tail gas, the content of organic matters in the tail gas and the oxygen content in the tail gas; the data of the power generation tower comprises: steam pressure and turbine efficiency;
the data adjustment unit is used for adjusting control parameters of the system and a cloud database according to the data of the power generation tower and the tail gas tower, and updating the classification standard of the garbage blocks so that the system is more accurate;
as shown in fig. 2, the intelligent control method for garbage incineration based on cloud computing comprises the following steps:
s100, storing the garbage to be treated into a garbage pool, extracting the garbage from the garbage pool according to the feeding condition of an upper layer fire grate, compressing the garbage into garbage blocks with the same volume, and inputting the compressed garbage blocks into the upper layer fire grate; adding a igniting material into the incinerator, igniting the igniting material, and enabling the incinerator to start preheating;
the step S100 includes:
s101, storing garbage to be treated into a garbage pool, detecting the occupation condition of an upper layer fire grate, and sending out an extraction command when detecting that the upper layer fire grate has a space;
S102, after receiving an extraction command, extracting garbage from a garbage pool, compressing the garbage into garbage blocks with the same volume by extrusion, and inputting the compressed garbage blocks into an upper layer fire grate;
s103, adding a igniting material into the incinerator, igniting the igniting material to start preheating the incinerator, and recording the detected furnace temperature as C0 after the igniting material is burnt out;
s200, enabling the garbage blocks compressed in the step S100 to enter an upper layer fire grate, drying the garbage blocks by using furnace temperature, recording characteristic information of the garbage blocks, uploading the characteristic information of the garbage blocks to a cloud end, searching in a database by the cloud end, fitting the type of garbage most similar to the current garbage blocks, estimating combustion information of the current garbage blocks, classifying the garbage blocks according to the estimated information, and cutting the garbage blocks into small garbage blocks with different volumes but equal heat;
step S200 includes:
step S201, enabling the garbage blocks compressed in the step S100 to enter an upper layer fire grate, drying the garbage blocks by using the furnace temperature, and recording characteristic information of the garbage blocks, wherein the characteristic information comprises: the weight G1 of the garbage blocks before drying, the weight G2 of the garbage blocks after drying, the volume V1 of the garbage blocks before drying, the volume V2 of the garbage blocks after drying and the average temperature C1 of the garbage blocks during drying;
S202, uploading feature information of the garbage blocks to a cloud end, searching in a cloud end database, fitting out garbage types most similar to the current garbage blocks, and estimating combustion information of the current garbage blocks, wherein the combustion information comprises the following components: the heat value J of the garbage blocks and the oxygen consumption P of the garbage blocks;
s203, classifying the garbage blocks according to the estimated heat value range and oxygen consumption range of the garbage blocks; cutting the garbage blocks into small garbage blocks with different weights and total heat quantity of Q according to the estimated heat value of the garbage blocks, wherein Q is a system preset value, and returning the rest part with heat quantity less than Q to a garbage pool after the garbage blocks are completely cut;
s300, inputting a preset temperature of the incinerator by a user, calculating the requirement of the incinerator on garbage fuel by a cloud end, putting garbage blocks classified in the step S200 into the incinerator from high to low according to a heat value until the total heat of the garbage blocks put into the incinerator is equal to the heat for raising the temperature of the incinerator to the preset temperature, controlling a primary air blower to send corresponding amount of air, and igniting garbage to enable the incinerator to start working; in the working process, the working data of the incinerator is detected through a sensor on the incinerator, and the working data is sent to a control system of the step S400;
Step S300 includes:
s301, inputting a preset temperature T0 of an incinerator by a user, calculating heat Q0 required for rising the incinerator to the preset temperature by a cloud end, and determining the number n of blocks of garbage fuel, wherein n is a value obtained by rounding Q0/Q upwards;
s302, putting the small garbage blocks cut in the n steps S203 into an incinerator according to the weight sequence from small to large, controlling a primary fan to send air, wherein the volume V < 3 > =P1/K of the sent air is the sum of the total oxygen consumption of all the small garbage blocks sent into the incinerator, the total oxygen consumption is the product of the oxygen consumption of garbage and the weight of the garbage, and K is the oxygen content of the input air;
s303, igniting small garbage blocks in the incinerator, determining that the furnace temperature is T1 after all filled garbage blocks are burnt out, if T1 is less than T0, calculating heat Q1 needed to be supplemented by the incinerator, continuously filling m small garbage blocks, and updating a cloud database, wherein m is a value obtained by rounding Q1/Q upwards, if T1 is more than T0, introducing excessive cold air into the furnace, reducing the furnace temperature to T, and updating the cloud database, and if T1 = T0, not adjusting;
step S304, after the incinerator reaches a preset temperature, charging power generation water to be heated into the top end of the incinerator, and detecting working data of the incinerator through a sensor on the incinerator, wherein the working data comprise: the temperature T of the incinerator, the thickness S of the material pile and the volume V of the air fed;
S400, the cloud calculates corresponding control parameters according to the working data detected in the step S300, and intelligently selects an adjustment strategy to keep the working data of the incinerator stable; meanwhile, the working efficiency of the primary air blower is adjusted according to the temperature of the incinerator and the oxygen consumption of the thrown garbage, so that the air supply quantity of the primary air blower can meet the combustion requirement of the garbage at any time;
step S400 includes:
s401, the cloud computing corresponding control parameters according to the working data detected in the S300, wherein the control parameters comprise: temperature regulating quantity and material pile supplementing quantity; the temperature regulating quantity T2 = T-T0, wherein T is the current temperature of the incinerator, T0 is the preset temperature input by a user into the incinerator, the material pile supplementing quantity S2 = S-S0, S is the current thickness of the material pile, S0 is the current ideal thickness, S0 =Wherein V0 is the volume of the incinerator, V is the volume of air currently fed, and D is the bottom area of the incinerator;
s402, selecting an adjustment strategy according to the control parameters, wherein the adjustment strategy comprises the following steps: controlling the throwing speed of a throwing port, controlling the throwing type of garbage blocks, and using a winch or further cutting the garbage blocks;
if T2 is less than 0 and S2 is less than 0, calculating heat Q2 required for adjusting temperature, further calculating the number of added garbage blocks n1=q2/Q, and when the calculated n1 is not an integer, further cutting the last small garbage block to enable the heat of the input garbage block to just meet the requirement, and simultaneously selecting the type of the input garbage according to the current thickness V of the material pile to enable the total oxygen consumption P2 of the input garbage to be:
P2=（V0-V-|S2*D|）*K
Controlling a feeding port to feed n1 garbage blocks with total oxygen consumption of P2;
if T2 is more than or equal to 0 and S2 is less than or equal to 0, calculating redundant heat Q3 of the incinerator, calculating the number n2 of added garbage blocks, enabling the total volume of the garbage blocks added into the incinerator to be equal to |S2| D|, selecting the type of garbage to be added, and enabling the average heat value of the garbage blocks to be addedWherein J2 is the average heat value of the garbage which is put into the furnace, g1 is the total mass of the garbage blocks which are about to be put into the incinerator, g2 is the total mass of the garbage which is put into the furnace, n1 garbage blocks with the average heat value of J1 are put into a material inlet, and the garbage blocks are covered on a raw material pile for combustion;
if T2 is more than or equal to 0 and S2 is more than 0, stopping the feeding action of the feeding port until the temperature is reduced to a preset temperature T0 or the thickness of the material pile is reduced to S0;
if T2 is less than 0 and S2 is more than 0, a winch in the incinerator is used for winch the material pile, the contact area of garbage and air is increased, garbage combustion is accelerated until the temperature is increased to a preset temperature T0 or the thickness of the material pile is reduced to S0;
s403, recording the total oxygen consumption P3 of the input garbage by the system, and controlling the power of the primary fan to ensure that the fed air quantity V4 always meets the following conditions: v4=p3×k;
s500, monitoring working data of the tail gas tower and the generator after the garbage is burnt in real time, feeding back the monitored working conditions to the control system, calibrating the working data of the incinerator in the step S300, adjusting the classification standard of the garbage blocks in the step S200, and updating the cloud database;
In step S500, data of the tail gas tower and the power generation tower are detected, and the data are fed back to the control system, where the data of the tail gas tower include: the temperature of the tail gas, the content of organic matters in the tail gas and the oxygen content in the tail gas; the data of the power generation tower comprises: steam pressure and turbine efficiency; according to the data of the power generation tower and the tail gas tower, when the temperature of the tail gas is lower than a threshold value, the content of organic matters in the tail gas is higher than the threshold value or the product of the steam pressure and the turbine efficiency is lower than the threshold value, the preset temperature T0 is increased, when the temperature of the tail gas is higher than the threshold value, the content of organic matters in the tail gas is lower than the threshold value or the product of the steam pressure and the turbine efficiency is lower than the threshold value, the preset temperature T0 is reduced, the actual heat value and the actual oxygen consumption of the input garbage are calculated, a cloud database is updated, and the classification standard of garbage blocks is reset, so that the system is more accurate.
Examples
After the garbage field receives garbage, the garbage to be treated is put into a garbage pool, the system detects that the occupation condition of an upper layer fire grate is 20%, and if a vacant space exists, the garbage is extracted from the garbage pool, and the garbage is compressed into the same volume of v1=10m 3 The compressed garbage blocks are input into an upper layer fire grate, ignition substances are added into the incinerator and are ignited, the incinerator starts to preheat, and the area of the bottom of the incinerator is set to be 20m 2 ；
Drying the garbage blocks fed into the upper layer fire grate by using the furnace temperature, recording the characteristic information of the garbage blocks, and comprising the following steps: the weight before drying the garbage blocks G1=150KG, the weight after drying G2=100deg.KG and the volume before drying the garbage blocks V1=10m 3 Volume after drying v2=5m 3 And the average temperature C1=100 ℃ of the garbage blocks during drying, uploading the characteristic information of the garbage blocks to the cloud, searching in a cloud database, and fitting to obtain the most similar garbage blocks to the current garbage blocksThe type of garbage is estimated that the combustion information of the current garbage block is: the heat value of the current garbage block is 4000KJ/KG, and the oxygen consumption is 10m 3 Per KG, presetting q=100 KJ, cutting the garbage block into 40 small garbage blocks, and processing other garbage blocks in the same way;
the method comprises the steps of inputting a preset temperature T0=800 ℃ of an incinerator by a user, calculating heat Q0=2000 KJ required for raising the incinerator to the preset temperature by a cloud computing, determining the number n=200 of garbage fuel blocks, inputting 200 small garbage blocks into the incinerator in a weight-to-weight sequence, controlling a primary fan to send air, wherein the volume of the air is the total oxygen consumption of all the garbage blocks, and the volume V3=5000 m 3 The method comprises the steps of carrying out a first treatment on the surface of the Igniting small garbage blocks in the incinerator, measuring the furnace temperature T1 = 650 ℃ after all the filled garbage blocks are burnt out, calculating the heat Q1 = 400KJ required to be supplemented by the incinerator, continuously filling 4 small garbage blocks, and updating a cloud database; after the incinerator reaches a preset temperature, charging power generation water to be heated into the top end of the incinerator;
At a certain moment in the operation process of the incinerator, the system detects the operation data of the incinerator through a sensor on the incinerator as follows: incinerator temperature t=900 ℃, pile thickness s=120 cm and air volume fed v=4000 m 3 Since t0=800 ℃, s0=100 cm, t2=100 ℃, s2= -20cm, the excess heat q3=300 KJ of the incinerator is calculated, and the number of added garbage pieces n2=3 is calculated so that the total volume of garbage pieces added into the incinerator is equal to 4m 3 Selecting the type of garbage to be put into, enabling the average heat value J1=1000 KJ/KG of the garbage to be put into, controlling a feeding hole to put into 3 garbage blocks, covering the garbage blocks with the average heat value J1=1000 KJ/KG on a raw material pile for burning, and controlling the power of a primary fan by a system to enable the fed air quantity V4 to always meet the requirement;
detecting data of the tail gas tower and the power generation tower, feeding the data back to the control system, according to the data of the power generation tower and the tail gas tower, when the temperature of the tail gas is lower than a threshold value, the content of organic matters in the tail gas is higher than the threshold value or the product of steam pressure and turbine efficiency is lower than the threshold value, increasing the preset temperature T0, when the temperature of the tail gas is higher than the threshold value, the content of organic matters in the tail gas is lower than the threshold value or the product of steam pressure and turbine efficiency is lower than the threshold value, reducing the preset temperature T0, calculating the actual heat value and the actual oxygen consumption of the thrown garbage, updating a cloud database, resetting the classification standard of garbage blocks, and enabling the system to be more accurate.
It is noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: the foregoing description is only a preferred embodiment of the present invention, and the present invention is not limited thereto, but it is to be understood that modifications and equivalents of some of the technical features described in the foregoing embodiments may be made by those skilled in the art, although the present invention has been described in detail with reference to the foregoing embodiments. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (9)
1. The intelligent control method for the garbage incineration based on the cloud computing is characterized by comprising the following steps of:
s100, storing the garbage to be treated into a garbage pool, extracting the garbage from the garbage pool according to the feeding condition of an upper layer fire grate, compressing the garbage into garbage blocks with the same volume, and inputting the compressed garbage blocks into the upper layer fire grate; adding a igniting material into the incinerator, igniting the igniting material, and enabling the incinerator to start preheating;
s200, enabling the garbage blocks compressed in the step S100 to enter an upper layer fire grate, drying the garbage blocks by using furnace temperature, recording characteristic information of the garbage blocks, uploading the characteristic information of the garbage blocks to a cloud end, searching in a database by the cloud end, fitting the type of garbage most similar to the current garbage blocks, estimating combustion information of the current garbage blocks, classifying the garbage blocks according to the estimated information, and cutting the garbage blocks into small garbage blocks with different volumes but equal heat;
s300, inputting a preset temperature of the incinerator by a user, calculating the requirement of the incinerator on garbage fuel by a cloud end, putting garbage blocks classified in the step S200 into the incinerator from high to low according to a heat value until the total heat of the garbage blocks put into the incinerator is equal to the heat for raising the temperature of the incinerator to the preset temperature, controlling a primary air blower to send corresponding amount of air, and igniting garbage to enable the incinerator to start working; in the working process, the working data of the incinerator is detected through a sensor on the incinerator, and the working data is sent to a control system of the step S400;
S400, the cloud calculates corresponding control parameters according to the working data detected in the step S300, and intelligently selects an adjustment strategy to keep the working data of the incinerator stable; meanwhile, the working efficiency of the primary air blower is adjusted according to the temperature of the incinerator and the oxygen consumption of the thrown garbage, so that the air supply quantity of the primary air blower can meet the combustion requirement of the garbage at any time;
s500, working data of the tail gas tower and the generator after the garbage is burnt are monitored in real time, the monitored working conditions are fed back to the control system, the working data of the incinerator in the step S300 are calibrated, the classification standard of garbage blocks in the step S200 is adjusted, and the cloud database is updated.
2. The intelligent control method for garbage incineration based on cloud computing according to claim 1, which is characterized in that: the step S100 includes:
s101, storing garbage to be treated into a garbage pool, detecting the occupation condition of an upper layer fire grate, and sending out an extraction command when detecting that the upper layer fire grate has a space;
s102, after receiving an extraction command, extracting garbage from a garbage pool, compressing the garbage into garbage blocks with the same volume V1 by extrusion, and inputting the compressed garbage blocks into an upper layer fire grate;
and S103, adding a igniting material into the incinerator, igniting the igniting material to start preheating the incinerator, and recording the detected furnace temperature as C0 after the igniting material is burnt out.
3. The intelligent control method for garbage incineration based on cloud computing according to claim 1, which is characterized in that: step S200 includes:
step S201, enabling the garbage blocks compressed in the step S100 to enter an upper layer fire grate, drying the garbage blocks by using the furnace temperature, and recording characteristic information of the garbage blocks, wherein the characteristic information comprises: the weight G1 of the garbage blocks before drying, the weight G2 of the garbage blocks after drying, the volume V1 of the garbage blocks before drying, the volume V2 of the garbage blocks after drying and the average temperature C1 of the garbage blocks during drying;
s202, uploading feature information of the garbage blocks to a cloud end, searching in a cloud end database, fitting out garbage types most similar to the current garbage blocks, and estimating combustion information of the current garbage blocks, wherein the combustion information comprises the following components: the heat value J of the garbage blocks and the oxygen consumption P of the garbage blocks;
s203, classifying the garbage blocks according to the estimated heat value range and oxygen consumption range of the garbage blocks; cutting the garbage blocks into small garbage blocks with different weights and total heat quantity of Q according to the estimated heat value of the garbage blocks, wherein Q is a system preset value, and returning the rest part with heat quantity less than Q to a garbage pool after the garbage blocks are completely cut.
4. The intelligent control method for garbage incineration based on cloud computing according to claim 1, which is characterized in that: step S300 includes:
S301, inputting a preset temperature T0 of an incinerator by a user, calculating heat Q0 required for rising the incinerator to the preset temperature by a cloud end, and determining the number n of blocks of garbage fuel, wherein n is a value obtained by rounding Q0/Q upwards;
s302, putting the small garbage blocks cut in the n steps S203 into an incinerator according to the weight sequence from small to large, controlling a primary fan to send air, wherein the volume V < 3 > =P1/K of the sent air is the sum of the oxygen consumption of all the small garbage blocks sent into the incinerator, the total oxygen consumption is the product of the oxygen consumption of garbage and the weight of the garbage, and K is the oxygen content of the input air;
s303, igniting small garbage blocks in the incinerator, determining that the furnace temperature is T1 after all filled garbage blocks are burnt out, if T1 is less than T0, calculating heat Q1 needed to be supplemented by the incinerator, continuously filling m small garbage blocks, and updating a cloud database, wherein m is a value obtained by rounding Q1/Q upwards, if T1 is more than T0, introducing excessive cold air into the furnace, reducing the furnace temperature to T, and updating the cloud database, and if T1 = T0, not adjusting;
step S304, after the incinerator reaches a preset temperature, charging power generation water to be heated into the top end of the incinerator, and detecting working data of the incinerator through a sensor on the incinerator, wherein the working data comprise: the temperature T of the incinerator, the thickness S of the stack and the volume V of air fed.
5. The intelligent control method for garbage incineration based on cloud computing according to claim 1, which is characterized in that: step S400 includes:
s401, the cloud computing corresponding control parameters according to the working data detected in the S300, wherein the control parameters comprise: temperature regulating quantity and material pile supplementing quantity; the temperature regulating quantity T2 = T-T0, wherein T is the current temperature of the incinerator, T0 is the preset temperature input by a user into the incinerator, the material pile supplementing quantity S2 = S-S0, S is the current thickness of the material pile, S0 is the current ideal thickness, S0 =Wherein V0 is the volume of the incinerator, V is the volume of air currently fed, and D is the bottom area of the incinerator;
s402, selecting an adjustment strategy according to the control parameters, wherein the adjustment strategy comprises the following steps: controlling the throwing speed of a throwing port, controlling the throwing type of garbage blocks, and using a winch or further cutting the garbage blocks;
if T2 is less than 0 and S2 is less than 0, calculating heat Q2 required for adjusting temperature, further calculating the number of added garbage blocks n1=q2/Q, and when the calculated n1 is not an integer, further cutting the last small garbage block to enable the heat of the input garbage block to just meet the requirement, and simultaneously selecting the type of the input garbage according to the current thickness V of the material pile to enable the total oxygen consumption P2 of the input garbage to be:
P2=（V0-V-|S2*D|）*K
Controlling a feeding port to feed n1 garbage blocks with total oxygen consumption of P2;
if T2 is more than or equal to 0 and S2 is less than or equal to 0, calculating redundant heat Q3 of the incinerator, calculating the number n2 of added garbage blocks, enabling the total volume of the garbage blocks added into the incinerator to be equal to |S2| D|, selecting the type of garbage to be added, and enabling the average heat value of the garbage blocks to be addedWherein J2 is the average heat value of the garbage which is put into the furnace, g1 is the total mass of the garbage blocks which are about to be put into the incinerator, g2 is the total mass of the garbage which is put into the furnace, n1 garbage blocks with the average heat value of J1 are put into a material inlet, and the garbage blocks are covered on a raw material pile for combustion;
if T2 is more than or equal to 0 and S2 is more than 0, stopping the feeding action of the feeding port until the temperature is reduced to a preset temperature T0 or the thickness of the material pile is reduced to S0;
if T2 is less than 0 and S2 is more than 0, a winch in the incinerator is used for winch the material pile, the contact area of garbage and air is increased, garbage combustion is accelerated until the temperature is increased to a preset temperature T0 or the thickness of the material pile is reduced to S0;
s403, recording the total oxygen consumption P3 of the input garbage by the system, and controlling the power of the primary fan to ensure that the fed air quantity V4 always meets the following conditions: v4=p3×k;
in step S500, data of the tail gas tower and the power generation tower are detected, and the data are fed back to the control system, where the data of the tail gas tower include: the temperature of the tail gas, the content of organic matters in the tail gas and the oxygen content in the tail gas; the data of the power generation tower comprises: steam pressure and turbine efficiency; according to the data of the power generation tower and the tail gas tower, when the temperature of the tail gas is lower than a threshold value, the content of organic matters in the tail gas is higher than the threshold value or the product of the steam pressure and the turbine efficiency is lower than the threshold value, the preset temperature T0 is increased, when the temperature of the tail gas is higher than the threshold value, the content of organic matters in the tail gas is lower than the threshold value or the product of the steam pressure and the turbine efficiency is lower than the threshold value, the preset temperature T0 is reduced, the actual heat value and the actual oxygen consumption of the input garbage are calculated, a cloud database is updated, and the classification standard of garbage blocks is reset, so that the system is more accurate.
6. Cloud computing-based intelligent control system for garbage incineration is characterized by comprising the following modules: the garbage collection device comprises a garbage compression module, a garbage classification module, a feeding control module, a combustion control module and a feedback adjustment module;
the garbage compression module is used for storing garbage to be incinerated, extracting the garbage from the garbage pool according to the feeding condition of the upper layer fire grate, compressing the garbage into garbage blocks with the same volume through extrusion, and inputting the garbage blocks into the upper layer fire grate;
the garbage classification module is used for conveying garbage to a last fire grate, drying garbage blocks by using the furnace temperature, recording characteristic information before and after the garbage blocks are dried, uploading the characteristic information of the garbage blocks to a cloud end, fitting combustion information of the garbage blocks, and cutting and classifying the garbage blocks according to the combustion information;
the combustion control module is used for calculating the condition of the incinerator on the garbage fuel through the cloud, feeding garbage blocks with corresponding heat, feeding air, enabling the temperature of the incinerator to rise to a preset temperature at the highest speed, detecting the working data of the incinerator through a sensor arranged in the incinerator, and calculating control parameters according to the working data;
the feeding control module is used for intelligently selecting an adjustment strategy according to the returned control parameters, stabilizing the working data of the incinerator, and adjusting the working efficiency of the primary fan according to the flame temperature and the oxygen consumption of the thrown garbage so that the air quantity of the primary fan can meet the combustion requirement of the garbage at any time;
The feedback adjustment module is used for monitoring working data of the tail gas tower and the generator after garbage combustion, feeding back the monitored working conditions to the control system, adjusting control parameters of the incinerator, adjusting classification standards of garbage blocks and updating the cloud database.
7. The intelligent sewage pipe network drainage optimization system according to claim 6, wherein: the garbage compression module comprises: a garbage storage unit and a garbage block generation unit;
the garbage storage unit is used for storing garbage to be burned in the garbage pool;
the garbage block generating unit is used for extracting garbage from the garbage pool, compressing the garbage into garbage blocks with the same volume through extrusion, and inputting the compressed garbage blocks into the upper layer fire grate;
the garbage classification module comprises: the device comprises a fire grate drying unit, a cloud prediction unit and a garbage block classification unit;
the grate drying unit is used for preheating the incinerator, drying the garbage blocks sent to the upper layer grate through the furnace temperature, and recording the characteristic information of the garbage blocks, wherein the characteristic information comprises: the weight of the garbage blocks before and after drying, the volume of the garbage blocks before and after drying and the average temperature of the garbage blocks during drying;
the cloud prediction unit is used for uploading the characteristic information of the garbage blocks to the cloud, searching in a cloud database, fitting out the garbage types most similar to the current garbage blocks, and estimating the combustion information of the current garbage blocks, wherein the combustion information comprises: the heat value of the garbage blocks and the oxygen consumption of the garbage blocks;
The garbage block classifying unit is used for classifying the garbage blocks according to the heat value and the oxygen consumption of the garbage blocks and cutting the garbage blocks into small blocks with different weights and equal heat values according to the heat value of the garbage blocks.
8. The intelligent sewage pipe network drainage optimization system according to claim 6, wherein: the combustion control module includes: the furnace opening unit and the cloud computing unit;
the furnace opening unit is used for throwing the garbage blocks into the incinerator from high to low according to the heat value until the total heat of the garbage blocks thrown into the incinerator is equal to the heat for raising the temperature of the incinerator to a preset temperature, and the primary air blower is controlled to send corresponding amount of air, so that the garbage is ignited, and the incinerator starts to work;
the cloud computing unit is used for computing heat required by the incinerator to be raised to the preset temperature at the cloud according to the preset temperature input by a user; after the incinerator works, the working data of the incinerator are detected through a sensor arranged in the incinerator, and the working data comprise: the temperature of the incinerator, the thickness of the material pile and the volume of air fed in, and the working data are transmitted to a feeding control module;
the feeding control module comprises: the intelligent adjusting unit, the control operation unit and the air supply unit;
the intelligent regulation unit is used for calculating control parameters according to the returned working data, and intelligently selecting an adjustment strategy to stabilize the working data of the incinerator at the fastest speed, wherein the adjustment strategy comprises the following steps: controlling the throwing speed of a throwing port, controlling the throwing type of garbage blocks, and using a winch or further cutting the garbage blocks;
The control operation unit is used for carrying out feeding control according to the determined adjustment strategy, so that newly fed garbage can be covered on the original stockpile for combustion;
the air supply unit is used for calculating the working efficiency of the primary air blower according to the oxygen consumption of the input garbage, so that the air blower can send corresponding quantity of air.
9. The intelligent sewage pipe network drainage optimization system according to claim 6, wherein: the feedback adjustment module includes: the working condition feedback unit and the data adjustment unit;
the working condition feedback unit is used for detecting data of the tail gas tower and the power generation tower and feeding the data back to the control system, and the data of the tail gas tower comprises: the temperature of the tail gas, the content of organic matters in the tail gas and the oxygen content in the tail gas; the data of the power generation tower comprises: steam pressure and turbine efficiency;
the data adjustment unit is used for adjusting control parameters of the system and the cloud database according to the data of the power generation tower and the tail gas tower, and updating the classification standard of the garbage blocks.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311085393.6A CN117029002B (en) | 2023-08-28 | 2023-08-28 | Cloud computing-based intelligent control system and method for garbage incineration |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311085393.6A CN117029002B (en) | 2023-08-28 | 2023-08-28 | Cloud computing-based intelligent control system and method for garbage incineration |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN117029002A true CN117029002A (en) | 2023-11-10 |
| CN117029002B CN117029002B (en) | 2023-12-29 |
Family
ID=88602255
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311085393.6A Active CN117029002B (en) | 2023-08-28 | 2023-08-28 | Cloud computing-based intelligent control system and method for garbage incineration |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117029002B (en) |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CH476257A (en) * | 1968-06-06 | 1969-07-31 | Von Roll Ag | Single-pass boiler tube waste heat boiler for steam or hot water generation, in particular for waste incineration ovens, and processes for its operation |
| CN102840586A (en) * | 2012-09-13 | 2012-12-26 | 宁明辉 | Automatic burning control system of domestic garbage burning furnace |
| CN106051782A (en) * | 2016-06-17 | 2016-10-26 | 光大环保技术研究院（深圳）有限公司 | Method for estimating garbage heat value in real time |
| CN113464955A (en) * | 2021-06-30 | 2021-10-01 | 苏州西热节能环保技术有限公司 | Garbage incineration prediction and feedforward control method |
| CN114263908A (en) * | 2021-09-16 | 2022-04-01 | 崔学发 | Integrated heat energy recycling process for removing dust, sulfur and nitrate from garbage cutting preheating incineration steam |
-
2023
- 2023-08-28 CN CN202311085393.6A patent/CN117029002B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CH476257A (en) * | 1968-06-06 | 1969-07-31 | Von Roll Ag | Single-pass boiler tube waste heat boiler for steam or hot water generation, in particular for waste incineration ovens, and processes for its operation |
| CN102840586A (en) * | 2012-09-13 | 2012-12-26 | 宁明辉 | Automatic burning control system of domestic garbage burning furnace |
| CN106051782A (en) * | 2016-06-17 | 2016-10-26 | 光大环保技术研究院（深圳）有限公司 | Method for estimating garbage heat value in real time |
| CN113464955A (en) * | 2021-06-30 | 2021-10-01 | 苏州西热节能环保技术有限公司 | Garbage incineration prediction and feedforward control method |
| CN114263908A (en) * | 2021-09-16 | 2022-04-01 | 崔学发 | Integrated heat energy recycling process for removing dust, sulfur and nitrate from garbage cutting preheating incineration steam |
Also Published As
| Publication number | Publication date |
|---|---|
| CN117029002B (en) | 2023-12-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105674297A (en) | Blanking system with constant-temperature control function | |
| CN106556014B (en) | A kind of incinerator method for controlling combustion based on temperature field measuring technique | |
| CN113464955A (en) | Garbage incineration prediction and feedforward control method | |
| CN107255285A (en) | A kind of method and system of three driving grate furnace mixed burning house refuse and sludge | |
| CN110762540A (en) | Combustion decision method and automatic combustion control method and system for garbage incinerator | |
| CN110991756A (en) | MSWI furnace temperature prediction method based on TS fuzzy neural network | |
| CN117029002B (en) | Cloud computing-based intelligent control system and method for garbage incineration | |
| JP2010216990A (en) | Device and method for measurement of moisture percentage in waste | |
| CN107726296A (en) | A kind of environment-friendly biomass solid fuel fired boiler | |
| CN203203042U (en) | Incinerator control system | |
| CN106016295A (en) | Automatic combustion fuzzy control method and system for incinerator | |
| CN105823061A (en) | Automatic blanking control system | |
| CN115371055A (en) | Automatic control method and system for waste incineration | |
| CN211526443U (en) | Automatic combustion control system of garbage incinerator | |
| JP7028844B2 (en) | Waste combustion equipment and waste combustion method | |
| JP2017180962A (en) | Waste treatment furnace device and method | |
| JP2003269712A (en) | Combustion control device and combustion control method for thermal decomposition gasification melting furnace | |
| CN105972609A (en) | Automatic incineration control method and system for destructor with load correction function | |
| CN207299015U (en) | A kind of biomass molding fuel intelligence and the combustion control system that becomes more meticulous | |
| CN112344348A (en) | Combustion optimization control method of garbage incinerator | |
| CN114729746A (en) | Control device for combustion facility, control method for combustion facility, and program | |
| US7845291B2 (en) | Control method for waste incineration plants with auxiliary burner operation | |
| CN113227654B (en) | Garbage incinerator and control method thereof | |
| KR100434650B1 (en) | Automatic Combustion Control System for Stoker Type Refuse Incinerator | |
| CN104534506B (en) | Air supply control method and system of oxygen-enriched combustion rotary cement kiln |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |