CN112304107A - Operating system for intelligent lifting engineering of roasting furnace - Google Patents
Operating system for intelligent lifting engineering of roasting furnace Download PDFInfo
- Publication number
- CN112304107A CN112304107A CN202011204960.1A CN202011204960A CN112304107A CN 112304107 A CN112304107 A CN 112304107A CN 202011204960 A CN202011204960 A CN 202011204960A CN 112304107 A CN112304107 A CN 112304107A
- Authority
- CN
- China
- Prior art keywords
- data
- allocation
- furnace
- roasting furnace
- combustion
- 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
Images
Classifications
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F27—FURNACES; KILNS; OVENS; RETORTS
- F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS, OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
- F27D19/00—Arrangements of controlling devices
-
- C—CHEMISTRY; METALLURGY
- C01—INORGANIC CHEMISTRY
- C01B—NON-METALLIC ELEMENTS; COMPOUNDS THEREOF; METALLOIDS OR COMPOUNDS THEREOF NOT COVERED BY SUBCLASS C01C
- C01B32/00—Carbon; Compounds thereof
-
- C—CHEMISTRY; METALLURGY
- C01—INORGANIC CHEMISTRY
- C01B—NON-METALLIC ELEMENTS; COMPOUNDS THEREOF; METALLOIDS OR COMPOUNDS THEREOF NOT COVERED BY SUBCLASS C01C
- C01B32/00—Carbon; Compounds thereof
- C01B32/20—Graphite
- C01B32/21—After-treatment
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F27—FURNACES; KILNS; OVENS; RETORTS
- F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS, OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
- F27D19/00—Arrangements of controlling devices
- F27D2019/0006—Monitoring the characteristics (composition, quantities, temperature, pressure) of at least one of the gases of the kiln atmosphere and using it as a controlling value
- F27D2019/0009—Monitoring the pressure in an enclosure or kiln zone
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F27—FURNACES; KILNS; OVENS; RETORTS
- F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS, OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
- F27D19/00—Arrangements of controlling devices
- F27D2019/0006—Monitoring the characteristics (composition, quantities, temperature, pressure) of at least one of the gases of the kiln atmosphere and using it as a controlling value
- F27D2019/0018—Monitoring the temperature of the atmosphere of the kiln
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F27—FURNACES; KILNS; OVENS; RETORTS
- F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS, OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
- F27D19/00—Arrangements of controlling devices
- F27D2019/0028—Regulation
- F27D2019/0031—Regulation through control of the flow of the exhaust gases
-
- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F27—FURNACES; KILNS; OVENS; RETORTS
- F27D—DETAILS OR ACCESSORIES OF FURNACES, KILNS, OVENS, OR RETORTS, IN SO FAR AS THEY ARE OF KINDS OCCURRING IN MORE THAN ONE KIND OF FURNACE
- F27D19/00—Arrangements of controlling devices
- F27D2019/0028—Regulation
- F27D2019/0034—Regulation through control of a heating quantity such as fuel, oxidant or intensity of current
- F27D2019/004—Fuel quantity
Landscapes
- Chemical & Material Sciences (AREA)
- Organic Chemistry (AREA)
- Inorganic Chemistry (AREA)
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Life Sciences & Earth Sciences (AREA)
- Geology (AREA)
- Mechanical Engineering (AREA)
- General Engineering & Computer Science (AREA)
- Waste-Gas Treatment And Other Accessory Devices For Furnaces (AREA)
Abstract
The invention discloses an operating system for intelligent lifting engineering, which can realize the operation of intelligently lifting a roasting furnace by the matched use of an environmental data acquisition module, a putting module, a data analysis module, a deployment processing module, a control module, an operating module and a data transmission module; collecting environment set data in the roasting furnace by using an environment data collection module, wherein the environment set data comprises exhaust data, conveying gas data, pressure data in the furnace and temperature data in the furnace; controlling the feeding amount of the roasting furnace according to the environment set data by using a feeding module; by comprehensively analyzing the environment set data, the state information of the blanking in the roasting furnace can be acquired, and the rest blanking can be adjusted according to the state information, so that the aim of self-adaptive adjustment of the blanking graphite or carbon resource roasting is fulfilled, and the problems of graphite or carbon resource waste and poor efficiency can be solved.
Description
Technical Field
The invention relates to the technical field of roasting furnaces, in particular to an operating system for intelligent lifting engineering of a roasting furnace.
Background
The roasting furnace is equipment which can obviously reduce the sintering temperature and greatly reduce the energy consumption, is greatly helpful for protecting the environment and improving the efficiency, and can also shorten the time; after the roasting furnace is fed, the air exhaust amount, the gas amount and the feeding amount need to be adjusted so that the roasting furnace can achieve the optimal working efficiency; the invention relates to a roasting furnace for roasting graphite or carbon resources.
In a patent "CN 101639228B, a method for controlling a combustion system of a carbon baking furnace" mainly comprises the following steps: (1) calculating the flame path deviation to obtain a flame path deviation value; (2) performing conventional PID control according to the flame path deviation value; (3) grading the output value of PID control according to the obtained flame path deviation value; (4) the classified power is proportioned to divide the power into two parts; (5) and respectively sending the separated power to an upstream pulse emitter and a downstream pulse emitter, respectively generating a corresponding pulse signal in the upstream pulse emitter and the downstream pulse emitter, and outputting the corresponding pulse signals to a corresponding flame path relay to control the on-off time of the flame path relay. After the combustion process of the upstream combustor and the downstream combustor is optimized, each part of fuel entering the flame path can be ensured to be fully combusted within a specified combustion distance, so that the combustion efficiency of the fuel is improved, the temperature of the flame path is uniformly and rapidly increased according to a set temperature increasing curve, and the fuel can be further saved.
The prior operating system of the roasting furnace has the defects that: the roasting condition of the graphite or carbon resource after the blanking of the roasting furnace cannot be analyzed and processed, so that the blanking graphite or carbon resource cannot be adaptively adjusted, and the problems of waste of the graphite or carbon resource and poor roasting efficiency are caused.
Disclosure of Invention
The invention aims to provide an operating system for intelligent lifting engineering of a roasting furnace.
The technical problem to be solved by the invention is as follows:
the problems that the roasting condition of the graphite or carbon resource after the blanking of the roasting furnace cannot be analyzed and processed, the blanking graphite or carbon resource cannot be adaptively adjusted, the graphite or carbon resource is wasted, and the roasting efficiency is poor are solved.
The purpose of the invention can be realized by the following technical scheme: an operating system for intelligent lifting engineering of a roasting furnace comprises an environmental data acquisition module, a throwing module, a data analysis module, a dispatching processing module, a control module, an operating module and a data transmission module;
the environment data acquisition module is used for acquiring environment set data in the roasting furnace, and the environment set data comprises exhaust data, conveying gas data, furnace pressure data and furnace temperature data; the feeding module is used for controlling the feeding amount of the roasting furnace according to the environment set data;
the data analysis module is used for analyzing the state information of the feeding in the roasting furnace according to the environment set data, and the specific analysis steps are as follows:
the method comprises the following steps: acquiring exhaust data, conveying gas data, furnace pressure data and furnace temperature data, setting the air volume exhausted by the roasting furnace before blanking in the exhaust data as first exhaust air volume P1, setting the gas volume conveyed by the roasting furnace before blanking in the conveying gas data as first conveying gas volume S1, setting the furnace pressure value before blanking in the furnace pressure data as first furnace pressure Y1, and setting the furnace temperature value before blanking in the furnace temperature data as first furnace temperature T1;
step two: obtaining the blanking amount and the blanking time of a roasting furnace, setting the blanking amount of the roasting furnace to be X1, and setting the blanking time of the roasting furnace to be t 1;
step three: acquiring monitoring time of the roasting furnace, setting the monitoring time as T2, acquiring exhaust air volume and conveying gas volume of the roasting furnace after operation in exhaust air data and conveying gas data, respectively setting the exhaust air volume and the conveying gas volume as a second exhaust air volume P2 and a second conveying gas volume S2, acquiring pressure and temperature in the roasting furnace after operation in furnace pressure data and furnace temperature data, and respectively setting the pressure and temperature as a second furnace pressure Y2 and a second furnace temperature T2;
step four: using formulas
Obtaining a migration coefficient Qm of blanking, wherein alpha is expressed as a preset exhaust air quantity correction factor, delta is expressed as a preset conveying gas quantity correction factor, beta is expressed as a preset furnace pressure correction factor, and chi is expressed as a preset furnace temperature correction factor;
step five: acquiring the combustion amount and the balance amount of the blanking by using the migration coefficient, setting the combustion amount as Ri, i as 1 … … n, and setting the balance amount as Ji, i as 1 … … n;
step six: combining the second exhaust air quantity, the second gas delivery quantity, the second furnace pressure, the second furnace temperature, the combustion quantity and the balance quantity to obtain the state information of the blanking in the roasting furnace, and sending the state information to the allocation processing module;
and the allocation processing module is used for receiving and processing the state information to obtain allocation analysis information and sending the allocation analysis information to the control module.
Preferably, the deployment processing module is configured to receive and process the status information to obtain deployment analysis information, and the specific processing procedure is as follows:
s21: acquiring state information, and calculating a combustion difference value Qc between the combustion amount in the state information and a preset standard combustion threshold value by using a formula Qc-Ri-R0, wherein R0 is represented as the preset standard combustion threshold value at the monitoring time;
s22: judging the combustion grade of the combustion difference value to obtain the combustion grade corresponding to the combustion amount; wherein, the combustion grade is set to be an inefficient grade, an intermediate efficiency grade and an efficient grade; the combustion difference value range of the low-efficiency grade is (— infinity, -k), the combustion difference value range of the medium-efficiency grade is [ -k, k ], the combustion difference value range of the high-efficiency grade is (k, + ∞), and k is represented as a preset natural number;
s23: analyzing the combustion grade corresponding to the combustion amount, and if the combustion grade is an inefficient grade, generating first allocation data; if the combustion grade is a medium efficiency grade, generating second blending data; if the combustion grade is the high-efficiency grade, generating third blending data;
s24: and combining the first allocation data, the second allocation data and the third allocation data to obtain allocation analysis information.
Preferably, the control module is used for receiving the allocation analysis information and controlling the air exhaust and gas delivery, and the specific steps include:
s31: obtaining allocation analysis information, and utilizing exhaust allocation formula
Acquiring an air exhaust allocation value Qp, wherein eta represents a preset air exhaust conversion factor, and t0 represents preset end time of blanking combustion;
s32: utilizing the air exhaust allocation value to allocate the air exhaust of the roasting furnace; if the allocation analysis information contains first allocation data, improving the exhaust air volume in the roasting furnace by utilizing an exhaust air allocation value; if the allocation analysis information contains second allocation data, keeping the exhaust air volume in the roasting furnace unchanged; if the allocation analysis information contains third allocation data, reducing the exhaust air amount in the roasting furnace by using the exhaust air allocation value;
s33: using gas blending formula
Acquiring a gas blending value Qr, wherein epsilon represents a preset gas conversion factor;
s34: the delivery of the fuel gas in the roasting furnace is allocated; if the allocation analysis information contains first allocation data, the gas allocation value is used for improving the delivery capacity of the gas in the roasting furnace; if the allocation analysis information contains second allocation data, keeping the conveying capacity of the fuel gas in the roasting furnace unchanged; and if the allocation analysis information contains third allocation data, reducing the delivery volume of the fuel gas in the roasting furnace by using the fuel gas allocation value.
Preferably, the operation module is used for carrying out loading and unloading operation, air exhaust operation and gas conveying operation on the roasting furnace; the data transmission module is used for transmitting data among the modules.
The invention has the beneficial effects that:
the intelligent lifting operation of the roasting furnace can be realized by the matched use of the environmental data acquisition module, the putting module, the data analysis module, the allocation processing module, the control module, the operation module and the data transmission module; collecting environment set data in the roasting furnace by using an environment data collection module, wherein the environment set data comprises exhaust data, conveying gas data, pressure data in the furnace and temperature data in the furnace; controlling the feeding amount of the roasting furnace according to the environment set data by using a feeding module; by comprehensively analyzing the environment set data, the state information of the graphite or carbon resource discharged in the roasting furnace can be obtained, and the remaining graphite or carbon resource can be adjusted according to the state information, so that the aim of adaptively adjusting the roasting work of the discharged graphite or carbon resource is fulfilled;
according to the invention, the data analysis module is used for analyzing the state information of graphite or carbon resources discharged in a roasting furnace according to environment set data, the air quantity discharged before the roasting furnace is discharged in the air discharge data is set as a first air discharge quantity P1, the gas quantity conveyed before the roasting furnace is discharged in the gas conveying data is set as a first conveying gas quantity S1, the pressure value in the furnace before the roasting furnace is discharged in the pressure data in the furnace is set as a first pressure Y1 in the furnace, and the temperature value in the furnace before the roasting furnace is discharged in the temperature data in the furnace is set as a first temperature T1; obtaining the blanking amount and the blanking time of a roasting furnace, setting the blanking amount of the roasting furnace to be X1, and setting the blanking time of the roasting furnace to be t 1; acquiring monitoring time of a roasting furnace, setting the monitoring time as T2, acquiring exhaust air quantity and conveying gas quantity of the roasting furnace after operation in exhaust air data and conveying gas data, respectively setting the exhaust air quantity and the conveying gas quantity as a second exhaust air quantity P2 and a second conveying gas quantity S2, acquiring pressure and temperature in the roasting furnace after operation in furnace pressure data and furnace temperature data, respectively setting the pressure and the temperature as a second furnace pressure Y2 and a second furnace temperature T2, acquiring a migration coefficient of blanking by using a formula, acquiring combustion quantity and balance of blanking by using the migration coefficient, and combining the second exhaust air quantity, the second conveying gas quantity, the second furnace pressure, the second furnace temperature, the combustion quantity and the balance to obtain status information of blanking in the roasting furnace; the burnt graphite or carbon resource condition can be obtained through the state information, and the burning of the residual graphite or carbon resource can be adjusted, so that the aims of saving the graphite or carbon resource and improving the roasting efficiency can be fulfilled;
the invention receives and processes the state information through the allocation processing module to obtain allocation analysis information, and sends the allocation analysis information to the control module; receiving allocation analysis information by using a control module, controlling air exhaust and gas delivery to obtain allocation analysis information, and obtaining an air exhaust allocation value by using an air exhaust allocation formula; utilizing the air exhaust allocation value to allocate the air exhaust of the roasting furnace; if the allocation analysis information contains first allocation data, improving the air discharge amount in the roasting furnace by using an air discharge allocation value; if the allocation analysis information contains second allocation data, keeping the exhaust air volume in the roasting furnace unchanged; if the allocation analysis information contains third allocation data, reducing the exhaust air amount in the roasting furnace by using the exhaust air allocation value; acquiring a gas blending value by using a gas blending formula; the delivery of the fuel gas in the roasting furnace is allocated; if the allocation analysis information contains first allocation data, improving the delivery capacity of the fuel gas in the roasting furnace by using the fuel gas allocation value; if the allocation analysis information contains second allocation data, keeping the conveying capacity of the fuel gas in the roasting furnace unchanged; if the allocation analysis information contains third allocation data, reducing the delivery capacity of the fuel gas in the roasting furnace by using the fuel gas allocation value; the operation module is used for carrying out loading and unloading operation, air exhaust operation and gas conveying operation on the roasting furnace; transmitting data among the modules by using a data transmission module; through adjusting the air exhaust amount and the gas delivery amount, the accurate adjustment of the roasting of the graphite or carbon resources of the blanking can be realized, the poor production efficiency caused by insufficient supply during the roasting of the graphite or carbon resources and the waste of the graphite or carbon resources caused by the excessive supply of the graphite or carbon resources are avoided.
Drawings
The invention will be further described with reference to the accompanying drawings.
Fig. 1 is a schematic block diagram of an operating system for intelligent lifting engineering of a roasting furnace according to the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example 1
Referring to fig. 1, the present invention is an operating system for an intelligent lifting project of a roasting furnace, including an environmental data collecting module, a releasing module, a data analyzing module, a allocating processing module, a control module, an operating module and a data transmitting module;
the environment data acquisition module is used for acquiring environment set data in the roasting furnace, and the environment set data comprises exhaust data, conveying gas data, furnace pressure data and furnace temperature data; the feeding module is used for controlling the feeding amount of the roasting furnace according to the environment set data;
the data analysis module is used for analyzing the state information of the feeding in the roasting furnace according to the environment set data, and the specific analysis steps are as follows:
the method comprises the following steps: acquiring exhaust data, conveying gas data, furnace pressure data and furnace temperature data, setting the air volume exhausted by the roasting furnace before blanking in the exhaust data as first exhaust air volume P1, setting the gas volume conveyed by the roasting furnace before blanking in the conveying gas data as first conveying gas volume S1, setting the furnace pressure value before blanking in the furnace pressure data as first furnace pressure Y1, and setting the furnace temperature value before blanking in the furnace temperature data as first furnace temperature T1;
step two: obtaining the blanking amount and the blanking time of a roasting furnace, setting the blanking amount of the roasting furnace to be X1, and setting the blanking time of the roasting furnace to be t 1;
step three: acquiring monitoring time of the roasting furnace, setting the monitoring time as T2, acquiring exhaust air volume and conveying gas volume of the roasting furnace after operation in exhaust air data and conveying gas data, respectively setting the exhaust air volume and the conveying gas volume as a second exhaust air volume P2 and a second conveying gas volume S2, acquiring pressure and temperature in the roasting furnace after operation in furnace pressure data and furnace temperature data, and respectively setting the pressure and temperature as a second furnace pressure Y2 and a second furnace temperature T2;
step four: using formulas
Obtaining a migration coefficient Qm of blanking, wherein alpha is expressed as a preset exhaust air quantity correction factor, delta is expressed as a preset conveying gas quantity correction factor, beta is expressed as a preset furnace pressure correction factor, and chi is expressed as a preset furnace temperature correction factor;
step five: acquiring the combustion amount and the balance amount of the blanking by using the migration coefficient, setting the combustion amount as Ri, i as 1 … … n, and setting the balance amount as Ji, i as 1 … … n;
step six: combining the second exhaust air quantity, the second gas delivery quantity, the second furnace pressure, the second furnace temperature, the combustion quantity and the balance quantity to obtain the state information of the blanking in the roasting furnace, and sending the state information to the allocation processing module;
the allocation processing module is used for receiving and processing the state information to obtain allocation analysis information and sending the allocation analysis information to the control module, and the specific processing process is as follows:
acquiring state information, and calculating a combustion difference value Qc between the combustion amount in the state information and a preset standard combustion threshold value by using a formula Qc-Ri-R0, wherein R0 is represented as the preset standard combustion threshold value at the monitoring time;
judging the combustion grade of the combustion difference value to obtain the combustion grade corresponding to the combustion amount; wherein, the combustion grade is set to be an inefficient grade, an intermediate efficiency grade and an efficient grade; the combustion difference value range of the low-efficiency grade is (— infinity, -k), the combustion difference value range of the medium-efficiency grade is [ -k, k ], the combustion difference value range of the high-efficiency grade is (k, + ∞), and k is represented as a preset natural number;
analyzing the combustion grade corresponding to the combustion amount, and if the combustion grade is an inefficient grade, generating first allocation data; if the combustion grade is a medium efficiency grade, generating second blending data; if the combustion grade is the high-efficiency grade, generating third blending data;
and combining the first allocation data, the second allocation data and the third allocation data to obtain allocation analysis information.
The control module is used for receiving, allocating and analyzing information and controlling air exhaust and gas delivery, and the specific steps comprise:
obtaining allocation analysis information, and utilizing exhaust allocation formula
Acquiring an air exhaust allocation value Qp, wherein eta represents a preset air exhaust conversion factor, and t0 represents preset end time of blanking combustion;
utilizing the air exhaust allocation value to allocate the air exhaust of the roasting furnace; if the allocation analysis information contains first allocation data, improving the exhaust air volume in the roasting furnace by utilizing an exhaust air allocation value; if the allocation analysis information contains second allocation data, keeping the exhaust air volume in the roasting furnace unchanged; if the allocation analysis information contains third allocation data, reducing the exhaust air amount in the roasting furnace by using the exhaust air allocation value;
using gas blending formula
Acquiring a gas blending value Qr, wherein epsilon represents a preset gas conversion factor;
the delivery of the fuel gas in the roasting furnace is allocated; if the allocation analysis information contains first allocation data, the gas allocation value is used for improving the delivery capacity of the gas in the roasting furnace; if the allocation analysis information contains second allocation data, keeping the conveying capacity of the fuel gas in the roasting furnace unchanged; and if the allocation analysis information contains third allocation data, reducing the delivery volume of the fuel gas in the roasting furnace by using the fuel gas allocation value.
The operation module is used for carrying out loading and unloading operation, air exhaust operation and gas conveying operation on the roasting furnace; the data transmission module is used for transmitting data among the modules.
Example 2
Processing graphite or carbon by the roasting furnace A, and adjusting the blanking amount of the graphite or carbon and the gas pressure to ensure the temperature in the roasting furnace A, wherein the gas can be coal gas; the waste gas generated during the graphite or carbon processing is discharged, and the air discharge amount can be obtained by adjusting the opening degree of an air door of a fan and the speed of a motor;
acquiring exhaust data, conveying gas data, pressure data in the furnace and temperature data in the furnace, and setting the air volume exhausted before blanking of the roasting furnace in the exhaust data as a first exhaust air volume which can be 8.5m3And/s, setting the gas quantity conveyed by the roasting furnace before blanking in the gas conveying data as a first gas conveying quantity, wherein the first gas conveying quantity can be 300m3Setting the pressure value in the furnace before the roasting furnace is discharged in the pressure data in the furnace as the first pressure in the furnace, wherein the first pressure in the furnace can be 20kpa, setting the temperature value in the furnace before the roasting furnace is discharged in the temperature data in the furnace as the first temperature in the furnace, and setting the temperature in the first furnace as 700 ℃;
obtaining the blanking amount and the blanking time of a roasting furnace, setting the blanking amount of the roasting furnace to be 20t, and setting the starting time of blanking on the roasting furnace to be 18: 00;
acquiring monitoring time of the roasting furnace, wherein the monitoring time of the roasting furnace is 18:20, acquiring exhaust air quantity and conveying gas quantity of the roasting furnace after operation in exhaust air data and conveying gas data, and respectively setting the exhaust air quantity and the conveying gas quantity as a second exhaust air quantity and a second conveying gas quantity, wherein the second exhaust air quantity can be 14m3Second delivery gas quantity may be 430 m/s3(s) obtaining furnace pressure data and furnace temperature dataAfter the intermediate roasting furnace works, the pressure and the temperature in the furnace are respectively set as a second furnace internal pressure and a second furnace internal temperature, wherein the second furnace internal pressure can be 23kpa, and the second furnace internal temperature can be 820 ℃;
obtaining a transfer coefficient of blanking by using a formula, and obtaining a combustion amount and a balance amount of the blanking by using the transfer coefficient, wherein the combustion amount can be 6.4t, and the balance amount can be 13.7 t;
calculating a combustion difference value between the combustion amount in the state information and a preset standard combustion threshold value by using a formula, wherein the preset standard combustion threshold value under the monitoring time of 18:20 can be 8;
judging the combustion grade of the combustion difference value to obtain the combustion grade corresponding to the combustion amount; wherein, the combustion grade is set to be an inefficient grade, an intermediate efficiency grade and an efficient grade; the combustion difference value range of the low-efficiency grade is (— infinity, -1), the combustion difference value range of the medium-efficiency grade is [ -1,1], and the combustion difference value range of the high-efficiency grade is (1, + ∞);
analyzing the combustion grade corresponding to the combustion amount, and if the combustion grade is an inefficient grade, generating first allocation data; if the combustion grade is a medium efficiency grade, generating second blending data; if the combustion grade is the high-efficiency grade, generating third blending data;
acquiring allocation analysis information, acquiring an air exhaust allocation value by using an air exhaust allocation formula, and allocating air exhaust of the roasting furnace by using the air exhaust allocation value; if the allocation analysis information contains first allocation data, improving the exhaust air volume in the roasting furnace by utilizing an exhaust air allocation value; if the allocation analysis information contains second allocation data, keeping the exhaust air volume in the roasting furnace unchanged; if the allocation analysis information contains third allocation data, reducing the exhaust air amount in the roasting furnace by using the exhaust air allocation value;
in the embodiment of the invention, the air exhaust amount in the roasting furnace needs to be improved by utilizing the air exhaust allocation value;
acquiring a gas blending value by using a gas blending formula, and blending the gas delivery in the roasting furnace; if the allocation analysis information contains first allocation data, the gas allocation value is used for improving the delivery capacity of the gas in the roasting furnace; if the allocation analysis information contains second allocation data, keeping the conveying capacity of the fuel gas in the roasting furnace unchanged; if the allocation analysis information contains third allocation data, reducing the delivery capacity of the fuel gas in the roasting furnace by using the fuel gas allocation value; in the embodiment of the invention, the delivery quantity of the fuel gas in the roasting furnace needs to be improved by utilizing the fuel gas blending value.
The working principle of the invention is as follows: compared with the prior art, on one hand, the intelligent lifting operation of the roasting furnace can be realized by the matched use of the environmental data acquisition module, the putting module, the data analysis module, the allocation processing module, the control module, the operation module and the data transmission module; collecting environment set data in the roasting furnace by using an environment data collection module, wherein the environment set data comprises exhaust data, conveying gas data, pressure data in the furnace and temperature data in the furnace; controlling the feeding amount of the roasting furnace according to the environment set data by using a feeding module; by comprehensively analyzing the environment set data, the state information of the graphite or carbon resource discharged in the roasting furnace can be obtained, and the remaining graphite or carbon resource can be adjusted according to the state information, so that the aim of adaptively adjusting the roasting work of the discharged graphite or carbon resource is fulfilled;
according to another aspect of the disclosure, the data analysis module analyzes the graphite or carbon resource state information of the discharging in the roasting furnace according to the environment set data, and sets the air volume discharged before the discharging of the roasting furnace in the air discharge data as a first air discharge volume P1, sets the gas volume conveyed before the discharging of the roasting furnace in the gas conveying data as a first gas conveying volume S1, sets the pressure value in the furnace before the discharging of the roasting furnace in the pressure data in the furnace as a first pressure Y1, and sets the temperature value in the furnace before the discharging of the roasting furnace in the temperature data in the furnace as a first temperature T1; obtaining the blanking amount and the blanking time of a roasting furnace, setting the blanking amount of the roasting furnace to be X1, and setting the blanking time of the roasting furnace to be t 1; acquiring monitoring time of a roasting furnace, setting the monitoring time as T2, acquiring exhaust air quantity and conveying gas quantity of the roasting furnace after operation in exhaust air data and conveying gas data, respectively setting the exhaust air quantity and the conveying gas quantity as a second exhaust air quantity P2 and a second conveying gas quantity S2, acquiring pressure and temperature in the roasting furnace after operation in furnace pressure data and furnace temperature data, respectively setting the pressure and the temperature as a second furnace pressure Y2 and a second furnace temperature T2, acquiring a migration coefficient of blanking by using a formula, acquiring combustion quantity and balance of blanking by using the migration coefficient, and combining the second exhaust air quantity, the second conveying gas quantity, the second furnace pressure, the second furnace temperature, the combustion quantity and the balance to obtain status information of blanking in the roasting furnace; the burnt graphite or carbon resource condition can be obtained through the state information, and the burning of the residual graphite or carbon resource can be adjusted, so that the aims of saving the graphite or carbon resource and improving the roasting efficiency can be fulfilled;
in other aspects disclosed by the invention, the allocation processing module receives and processes the state information to obtain allocation analysis information, and sends the allocation analysis information to the control module; receiving allocation analysis information by using a control module, controlling air exhaust and gas delivery to obtain allocation analysis information, and obtaining an air exhaust allocation value by using an air exhaust allocation formula; utilizing the air exhaust allocation value to allocate the air exhaust of the roasting furnace; if the allocation analysis information contains first allocation data, improving the air discharge amount in the roasting furnace by using an air discharge allocation value; if the allocation analysis information contains second allocation data, keeping the exhaust air volume in the roasting furnace unchanged; if the allocation analysis information contains third allocation data, reducing the exhaust air amount in the roasting furnace by using the exhaust air allocation value; acquiring a gas blending value by using a gas blending formula; the delivery of the fuel gas in the roasting furnace is allocated; if the allocation analysis information contains first allocation data, improving the delivery capacity of the fuel gas in the roasting furnace by using the fuel gas allocation value; if the allocation analysis information contains second allocation data, keeping the conveying capacity of the fuel gas in the roasting furnace unchanged; if the allocation analysis information contains third allocation data, reducing the delivery capacity of the fuel gas in the roasting furnace by using the fuel gas allocation value; the operation module is used for carrying out loading and unloading operation, air exhaust operation and gas conveying operation on the roasting furnace; transmitting data among the modules by using a data transmission module; through adjusting the air exhaust amount and the gas delivery amount, the accurate adjustment of the roasting of the graphite or carbon resources of the blanking can be realized, the poor production efficiency caused by insufficient supply during the roasting of the graphite or carbon resources and the waste of the graphite or carbon resources caused by the excessive supply of the graphite or carbon resources are avoided.
In the embodiments provided by the present invention, it should be understood that the disclosed system and method can be implemented in other ways. For example, the above-described embodiments are merely illustrative, and for example, the division of the modules is only one logical functional division, and other divisions may be realized in practice.
The modules described as separate parts may or may not be physically separate, and parts displayed as modules may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the method of the embodiment.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, or in a form of hardware plus a software functional module.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention 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 invention 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 signs in the claims shall 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 system claims may also be implemented by one unit or means in software or hardware. The terms second, etc. are used to denote names, but not any particular order.
Finally, it should be noted that the above examples are only intended to illustrate the technical process of the present invention and not to limit the same, and although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that modifications or equivalent substitutions may be made to the technical process of the present invention without departing from the spirit and scope of the technical process of the present invention.
Claims (4)
1. An operating system for intelligent lifting engineering of a roasting furnace is characterized by comprising an environmental data acquisition module, a throwing module, a data analysis module, a deployment processing module, a control module, an operating module and a data transmission module;
the environment data acquisition module is used for acquiring environment set data in the roasting furnace, and the environment set data comprises exhaust data, conveying gas data, furnace pressure data and furnace temperature data; the feeding module is used for controlling the feeding amount of the roasting furnace according to the environment set data;
the data analysis module is used for analyzing the state information of the feeding in the roasting furnace according to the environment set data, and the specific analysis steps are as follows:
the method comprises the following steps: acquiring exhaust data, conveying gas data, furnace pressure data and furnace temperature data, setting the air volume exhausted by the roasting furnace before blanking in the exhaust data as first exhaust air volume P1, setting the gas volume conveyed by the roasting furnace before blanking in the conveying gas data as first conveying gas volume S1, setting the furnace pressure value before blanking in the furnace pressure data as first furnace pressure Y1, and setting the furnace temperature value before blanking in the furnace temperature data as first furnace temperature T1;
step two: obtaining the blanking amount and the blanking time of a roasting furnace, setting the blanking amount of the roasting furnace to be X1, and setting the blanking time of the roasting furnace to be t 1;
step three: acquiring monitoring time of the roasting furnace, setting the monitoring time as T2, acquiring exhaust air volume and conveying gas volume of the roasting furnace after operation in exhaust air data and conveying gas data, respectively setting the exhaust air volume and the conveying gas volume as a second exhaust air volume P2 and a second conveying gas volume S2, acquiring pressure and temperature in the roasting furnace after operation in furnace pressure data and furnace temperature data, and respectively setting the pressure and temperature as a second furnace pressure Y2 and a second furnace temperature T2;
step four: using formulas
Obtaining a migration coefficient Qm of blanking, wherein alpha is expressed as a preset exhaust air quantity correction factor, delta is expressed as a preset conveying gas quantity correction factor, beta is expressed as a preset furnace pressure correction factor, and chi is expressed as a preset furnace temperature correction factor;
step five: acquiring the combustion amount and the balance amount of the blanking by using the migration coefficient, setting the combustion amount as Ri, i as 1 … … n, and setting the balance amount as Ji, i as 1 … … n;
step six: combining the second exhaust air quantity, the second gas delivery quantity, the second furnace pressure, the second furnace temperature, the combustion quantity and the balance quantity to obtain the state information of the blanking in the roasting furnace, and sending the state information to the allocation processing module;
and the allocation processing module is used for receiving and processing the state information to obtain allocation analysis information and sending the allocation analysis information to the control module.
2. The operating system for the intelligent lifting engineering of the roasting furnace according to claim 1, wherein the allocation processing module is configured to receive and process the status information to obtain allocation analysis information, and the specific processing procedure is as follows:
s21: acquiring state information, and calculating a combustion difference value Qc between the combustion amount in the state information and a preset standard combustion threshold value by using a formula Qc-Ri-R0, wherein R0 is represented as the preset standard combustion threshold value at the monitoring time;
s22: judging the combustion grade of the combustion difference value to obtain the combustion grade corresponding to the combustion amount; wherein, the combustion grade is set to be an inefficient grade, an intermediate efficiency grade and an efficient grade; the combustion difference value range of the low-efficiency grade is (— infinity, -k), the combustion difference value range of the medium-efficiency grade is [ -k, k ], the combustion difference value range of the high-efficiency grade is (k, + ∞), and k is represented as a preset natural number;
s23: analyzing the combustion grade corresponding to the combustion amount, and if the combustion grade is an inefficient grade, generating first allocation data; if the combustion grade is a medium efficiency grade, generating second blending data; if the combustion grade is the high-efficiency grade, generating third blending data;
s24: and combining the first allocation data, the second allocation data and the third allocation data to obtain allocation analysis information.
3. The operating system of claim 1, wherein the control module is configured to receive scheduling analysis information and control ventilation and gas transportation, and the specific steps include:
s31: obtaining allocation analysis information, and utilizing exhaust allocation formula
Acquiring an air exhaust allocation value Qp, wherein eta represents a preset air exhaust conversion factor, and t0 represents preset end time of blanking combustion;
s32: utilizing the air exhaust allocation value to allocate the air exhaust of the roasting furnace; if the allocation analysis information contains first allocation data, improving the exhaust air volume in the roasting furnace by utilizing an exhaust air allocation value; if the allocation analysis information contains second allocation data, keeping the exhaust air volume in the roasting furnace unchanged; if the allocation analysis information contains third allocation data, reducing the exhaust air amount in the roasting furnace by using the exhaust air allocation value;
s33: using gas blending formula
Acquiring a gas blending value Qr, wherein epsilon represents a preset gas conversion factor;
s34: the delivery of the fuel gas in the roasting furnace is allocated; if the allocation analysis information contains first allocation data, the gas allocation value is used for improving the delivery capacity of the gas in the roasting furnace; if the allocation analysis information contains second allocation data, keeping the conveying capacity of the fuel gas in the roasting furnace unchanged; and if the allocation analysis information contains third allocation data, reducing the delivery volume of the fuel gas in the roasting furnace by using the fuel gas allocation value.
4. The operating system for the intelligent lifting engineering of the roasting furnace according to claim 1, wherein the operating module is used for loading and unloading operation, air exhaust operation and gas conveying operation of the roasting furnace; the data transmission module is used for transmitting data among the modules.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011204960.1A CN112304107B (en) | 2020-11-02 | 2020-11-02 | Operating system for intelligent lifting engineering of roasting furnace |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011204960.1A CN112304107B (en) | 2020-11-02 | 2020-11-02 | Operating system for intelligent lifting engineering of roasting furnace |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112304107A true CN112304107A (en) | 2021-02-02 |
| CN112304107B CN112304107B (en) | 2021-12-07 |
Family
ID=74333586
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011204960.1A Active CN112304107B (en) | 2020-11-02 | 2020-11-02 | Operating system for intelligent lifting engineering of roasting furnace |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112304107B (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113984125A (en) * | 2021-11-02 | 2022-01-28 | 株洲湘瓷科艺特种陶瓷有限公司 | Ceramic sintering atmosphere state monitoring system |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9618204B2 (en) * | 2012-09-14 | 2017-04-11 | Nova Chemicals (International) S.A. | Industrial furnace |
| CN106766975A (en) * | 2016-12-31 | 2017-05-31 | 广州龙鑫蓄热工业炉有限公司 | A kind of autocontrol method and its device of aluminum melting furnace system |
| EP3176527A1 (en) * | 2015-12-01 | 2017-06-07 | Claudius Peters Projects GmbH | Calcination plant and process for calcination |
| CN109654874A (en) * | 2018-12-05 | 2019-04-19 | 东北大学 | A kind of vertical activation calciner of novel aluminium oxide and method of roasting |
| CN111006517A (en) * | 2019-12-31 | 2020-04-14 | 重庆长江造型材料（集团）股份有限公司 | Roasting furnace control system |
-
2020
- 2020-11-02 CN CN202011204960.1A patent/CN112304107B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9618204B2 (en) * | 2012-09-14 | 2017-04-11 | Nova Chemicals (International) S.A. | Industrial furnace |
| EP3176527A1 (en) * | 2015-12-01 | 2017-06-07 | Claudius Peters Projects GmbH | Calcination plant and process for calcination |
| CN106766975A (en) * | 2016-12-31 | 2017-05-31 | 广州龙鑫蓄热工业炉有限公司 | A kind of autocontrol method and its device of aluminum melting furnace system |
| CN109654874A (en) * | 2018-12-05 | 2019-04-19 | 东北大学 | A kind of vertical activation calciner of novel aluminium oxide and method of roasting |
| CN111006517A (en) * | 2019-12-31 | 2020-04-14 | 重庆长江造型材料（集团）股份有限公司 | Roasting furnace control system |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113984125A (en) * | 2021-11-02 | 2022-01-28 | 株洲湘瓷科艺特种陶瓷有限公司 | Ceramic sintering atmosphere state monitoring system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112304107B (en) | 2021-12-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112304107B (en) | Operating system for intelligent lifting engineering of roasting furnace | |
| CN101861013A (en) | Intelligent lamp and control method thereof | |
| CN104633765A (en) | Energy-conservation control system and method | |
| CN116149282B (en) | Processing control method and system for steel smelting based on flow control | |
| CN110986084B (en) | Air distribution control method and system of pulverized coal fired boiler and related equipment | |
| CN102997670B (en) | Method and device for controlling sintering ignition furnace | |
| CN108074020A (en) | A kind of intelligence coal mixing combustion optimization method and its system | |
| CN105160499B (en) | A kind of fuel analysis System and method in thermal power plant | |
| CN112232373A (en) | Method and system for predicting carbon content of boiler fly ash | |
| CN111342459A (en) | Power demand decision analysis system and method | |
| CN111080099B (en) | Comprehensive energy system scheduling evaluation method and system based on carbon emission management | |
| CN114742487A (en) | Production task management and control method and system based on industrial Internet of things | |
| CN104456614A (en) | Primary air pressure automatic optimization system and method of primary air fan of power plant boiler | |
| CN107976976B (en) | Time sequence optimization method for gas consumption equipment of iron and steel enterprise | |
| CN201706903U (en) | Device used for controlling internal pressure of furnace and recovering heat energy of flue gas | |
| CN113609663A (en) | Combustion optimization method based on physical model and historical data analysis | |
| CN106765113A (en) | Cremation Machine computerized management center system | |
| CN111270028B (en) | Coping method and coping system for converting dry quenching into wet quenching of blast furnace | |
| CN108629458B (en) | Coal-electric unit optimized operation method based on big data | |
| CN116221767B (en) | Pulverized coal distribution rate determining method and system | |
| CN117704418A (en) | Coal-fired boiler layer air door regulating and controlling method based on difference of coal types entering furnace | |
| CN115029493B (en) | Method for improving air temperature of blast furnace hot blast stove | |
| CN113947331A (en) | Multi-scene gas optimizing and allocating system applied to steel industry | |
| CN116857664A (en) | Slag discharging method for boiler of thermal power plant | |
| CN103073203A (en) | Sleeve kiln energy consumption monitoring system and control method thereof |
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 |