Energy-saving method for casthouse dust removal fan

Abstract

The present application belongs to the technical field of furnace front tapping, and particularly relates to an energy-saving method and system for a furnace front tapping dust removal fan, comprising: collecting molten iron data and smoke data in a blast furnace tapping process, wherein the molten iron data comprises blast furnace pressure, molten iron flow rate, molten iron temperature and tapping amount information, and the smoke data comprises smoke amount and smoke temperature information; processing the molten iron data and the smoke data, and establishing a furnace front tapping model and a tapping smoke correlation model; through the establishment of the furnace front tapping model and the tapping smoke correlation model, the molten iron flow rate under different molten iron output is predicted, the smoke amount is predicted again according to the predicted molten iron flow rate, the frequency conversion control parameter calculation of the dust removal fan is assisted, the frequency conversion reference set is collected and sorted in intervals, and in the actual tapping process, the frequency conversion control of the dust removal fan is realized through the frequency conversion reference set by time period, thereby solving the problem of energy waste caused by the fact that the dust removal fan always operates at rated power.

Description

Technical Field

[0001] The invention relates to the technical field of furnace front iron tapping, and in particular to an energy-saving method for a furnace front iron tapping dust removal fan. Background Art

[0002] The iron-making process in the steel industry refers to the process of discharging slag and iron from the tapping hole, which is accompanied by a large amount of smoke and dust. As the country strengthens its control over unorganized emissions, iron-making process in the tapping hole, as an important part of blast furnace production, requires lean management and maximum efficiency to promote energy conservation and consumption reduction.

[0003] However, due to the high temperature and coal gas working environment in front of the furnace, the production control mode of large dust removal fans is relatively extensive, relying on simple manual adjustment. As the output of molten iron changes, the iron flow rate and smoke emission also change accordingly, making manual adjustment difficult based on experience. The fans in front of the blast furnace basically operate at the maximum power required to meet the demand, resulting in excessive use of resources.

[0004] With the improvement of automation equipment and Internet of Things technology, the addition of necessary sensors has greatly improved the scope and accuracy of data collection related to blast furnace production. Therefore, adding refined production management and control methods in the process of unorganized emissions can increase the efficiency of fan use and further save energy and reduce consumption in the production process. Summary of the Invention

[0005] (1) Purpose of the invention

[0006] In order to solve the technical problems existing in the background technology, the present invention proposes an energy-saving method for the dust removal fan in front of the furnace for iron tapping. By predicting the molten iron flow rate and smoke amount before iron tapping, the fan frequency conversion control parameters at the corresponding time are generated to control the fan, thereby reducing the dust removal energy consumption.

[0007] (2) Technical solution

[0008] In order to solve the above technical problems, the present invention provides an energy-saving method for a furnace front iron-tapping dust removal fan, comprising:

[0009] S100, collecting molten iron data and smoke dust data during a blast furnace tapping process, wherein the molten iron data includes furnace pressure, molten iron flow rate, molten iron temperature, and tapping amount information, and the smoke dust data includes smoke dust amount and smoke dust temperature information;

[0010] S200, processing the molten iron data and the smoke data to establish a furnace tapping model and a tapping smoke correlation model;

[0011] S300, predicting a molten iron flow rate curve in time order during the actual tapping process according to the furnace tapping model, and generating a smoke amount curve according to the predicted molten iron flow rate curve in the tapping smoke correlation model;

[0012] S400, extracting the inflection point feature of the molten iron flow rate curve as a marker point, and segmenting the smoke dust amount curve according to the marker point;

[0013] S500, generating the variable frequency control parameters of the dust removal fan in time sequence according to the segmented smoke dust amount curve, and running the dust removal fan according to the variable frequency control parameters to realize energy saving.

[0014] Further, in S200, the furnace tapping model includes:

[0015] The data used for training the furnace tapping model includes furnace pressure, molten iron flow rate, molten iron temperature and tapping amount, each data is sorted and numbered according to the same time interval to form a data set, the data set includes a training set and a test set, the model is trained by the training set, and the model is evaluated by the test set.

[0016] Further, in S200, the tapping smoke dust correlation model includes:

[0017] The data used for training the tapping smoke dust correlation model includes molten iron flow rate, molten iron temperature, smoke dust amount and smoke dust temperature information, wherein the smoke dust amount and smoke dust temperature information are sorted and numbered according to the same time interval of the molten iron flow rate and the molten iron temperature to form a data set, the data set includes a training set and a test set, and the training and evaluation of the tapping smoke dust correlation model are assisted.

[0018] Further, in S400, the inflection point feature of the molten iron flow rate curve is extracted as a marker point, and the smoke dust amount curve is segmented according to the marker point;

[0019] Wherein, the inflection point feature is that the molten iron flow rate suddenly rises or falls at a certain time, the periodic marker set includes N marker points, the adjacent two marker points are a flow rate interval, and the smoke dust amount curve is segmented in the corresponding flow rate interval to obtain a corresponding smoke dust amount interval;

[0020] N-1 smoke dust amount intervals are generated through N marker points.

[0021] Further, in S500, the variable frequency control parameters of the dust removal fan in time sequence are generated according to the segmented smoke dust amount curve, which includes:

[0022] Extracting the smoke dust amount data at each time point in the smoke dust amount interval corresponding to each part of the smoke dust amount curve;

[0023] According to the smoke dust amount data and the rated air volume of the dust removal fan, the variable frequency control parameters corresponding to each time point are calculated;

[0024] The variable frequency control parameters corresponding to the time points are collected and sorted into a variable frequency reference set within the time interval of the corresponding smoke dust amount interval;

[0025] The frequency conversion control of the dust removal fan is performed according to the frequency conversion reference set.

[0026] Furthermore, the method further includes: obtaining a smoke temperature curve corresponding to the molten iron flow rate curve, segmenting the smoke temperature curve using the same inflection point feature marking method, wherein each segmented smoke temperature curve corresponds to a smoke temperature interval, that is, generating N-1 smoke temperature intervals through N marking points;

[0027] According to the difference between the smoke temperature and the suction gas temperature of the dust removal fan at the corresponding time point in the smoke temperature range, the smoke temperature adjustment difference is determined, and each smoke temperature adjustment difference is summarized into a temperature adjustment parameter set;

[0028] The temperature of the suction gas at the dust removal fan inlet is cooled and controlled by the temperature control parameter set.

[0029] In another aspect, the present invention provides an energy-saving system for a furnace front iron-tapping dust removal fan, comprising:

[0030] The acquisition module collects molten iron data and smoke dust data during the blast furnace tapping process;

[0031] A processing module processes the molten iron data and the smoke data to establish a furnace tapping model and a tapping smoke correlation model;

[0032] The prediction module predicts the molten iron flow rate curve in time order during the actual tapping process based on the furnace tapping model, and generates a dust volume curve based on the predicted molten iron flow rate curve in the tapping dust correlation model;

[0033] The marking module extracts the inflection point features of the molten iron flow rate curve as marking points, and segments the smoke volume curve based on the marking points;

[0034] Frequency conversion module; generates time-ordered frequency conversion control parameters for the dust removal fan according to the divided smoke and dust amount curves of each part, and operates the dust removal fan according to the frequency conversion control parameters to achieve energy saving.

[0035] Furthermore, it also includes a collection unit;

[0036] The collected molten iron data includes furnace pressure, molten iron flow rate, molten iron temperature and iron output information;

[0037] The collected smoke data includes smoke quantity and smoke temperature information;

[0038] The data collection equipment includes blast furnace monitoring equipment, high-speed cameras, smoke monitoring sensors and temperature monitoring sensors.

[0039] Furthermore, it also includes a temperature control unit, which is connected to the temperature control device. The smoke is cooled by inputting the smoke temperature adjustment difference, and the smoke gas temperature is adjusted to a temperature suitable for the dust removal fan to inhale.

[0040] The above-mentioned technical scheme of the present invention has the following beneficial technical effects: by building a furnace-front iron-tapping model and an iron-tapping smoke dust correlation model, the molten iron flow rate under different molten iron outputs is predicted, and the smoke amount is predicted again based on the predicted molten iron flow rate, to assist in the calculation of the variable frequency control parameters of the dust removal fan, and to collect and organize the variable frequency reference sets in partitions. In the actual iron-tapping process, the variable frequency control of the dust removal fan is realized according to the variable frequency reference sets according to time periods, thereby solving the energy waste problem caused by the dust removal fan always running at rated power. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 Schematic diagram of the method flow of the present invention;

[0042] Figure 2 Schematic diagram of the molten iron flow rate curve of the present invention;

[0043] Figure 3 Schematic diagram of the smoke temperature curve of the present invention. DETAILED DESCRIPTION

[0044] To make the objectives, technical solutions, and advantages of the present invention more clearly understood, the present invention will be further described in detail below in conjunction with specific embodiments and with reference to the accompanying drawings. It should be understood that these descriptions are merely exemplary and are not intended to limit the scope of the present invention. In addition, in the following description, descriptions of well-known structures and technologies are omitted to avoid unnecessary confusion of the concepts of the present invention.

[0045] like Figure 1-2 As shown, the present invention proposes an energy-saving method for a furnace front iron-tapping dust removal fan, comprising:

[0046] S100, collecting molten iron data and smoke dust data during a blast furnace tapping process, wherein the molten iron data includes furnace pressure, molten iron flow rate, molten iron temperature, and tapping amount information, and the smoke dust data includes smoke dust amount and smoke dust temperature information;

[0047] S200, processing the molten iron data and the smoke data to establish a furnace tapping model and a tapping smoke correlation model;

[0048] In S200, establishing the iron-tapping model in front of the furnace includes:

[0049] The data used in the training of the tapping model include furnace pressure, molten iron flow rate, molten iron temperature and tapping amount. The data collected comes from multiple blast furnace tapping processes.

[0050] Clean all data to ensure there are no missing values, outliers or formatting issues;

[0051] Among them, furnace pressure, molten iron flow rate, molten iron temperature and iron output are related data, for example,

[0052] When the furnace pressure increases, the flow resistance of the molten iron in the furnace also increases, which can cause the molten iron flow rate to decrease;

[0053] The flow rate of the molten iron can affect the change of its temperature. If the flow rate of the molten iron is slow, the contact time of the molten iron with the furnace lining increases, resulting in more heat transfer, thereby reducing the temperature of the molten iron;

[0054] The furnace pressure and the tapping volume are independent variables (variables used for prediction), which depend on the self-structure design of the blast furnace, and the flow rate of the molten iron and the temperature of the molten iron are dependent variables (variables to be predicted);

[0055] The data is sorted and numbered according to the same time interval to form a data set, which includes a training set and a test set. The model is trained by the training set, and the model is evaluated by the test set;

[0056] The tapping model with the functions of predicting the flow rate of the molten iron and the temperature of the molten iron is obtained. Before actual tapping, the flow rate data of the molten iron changing with the furnace pressure during the tapping process can be predicted by the pre-obtained furnace pressure change information and tapping volume information, and the temperature data of the molten iron is generated by relying on the flow rate data of the molten iron;

[0057] In order to facilitate the display of data, the curve transformation can be performed to generate the flow rate curve of the molten iron and the temperature curve of the molten iron.

[0058] In S200, the tapping smoke correlation model is established, including:

[0059] The data used for training the tapping smoke correlation model includes the flow rate of the molten iron, the temperature of the molten iron, the smoke volume, and the smoke temperature information,

[0060] For example, when the tapping is performed at the tapping hole, the molten iron will be sprayed at a certain flow rate due to the effect of the residual pressure in the furnace. The faster the flow rate of the molten iron, the stronger the ability to wash and carry away the smoke on the surface of the molten iron. Therefore, theoretically, the faster the flow rate of the molten iron, the less smoke should be generated;

[0061] The smoke volume and smoke temperature information are sorted and numbered according to the same time interval of the flow rate of the molten iron and the temperature of the molten iron to form a data set, which includes a training set and a test set, and assists the training and evaluation of the tapping smoke correlation model;

[0062] The tapping smoke correlation model with the functions of predicting the smoke volume and the smoke temperature information is obtained. The smoke volume and the smoke temperature corresponding to the time are predicted by the previously predicted flow rate data of the molten iron and the temperature data of the molten iron. Similarly, the curve transformation of the smoke volume and the smoke temperature can be performed to generate the smoke volume curve and the smoke temperature curve.

[0063] S300, predicting a time-sequenced molten iron flow rate curve in an actual tapping process according to a tapping model, and generating a smoke amount curve according to the tapping smoke correlation model and the predicted molten iron flow rate curve;

[0064] S400, extracting an inflection point feature of the molten iron flow rate curve as a marker point, and segmenting the smoke amount curve according to the marker point;

[0065] In S400, an inflection point feature of the molten iron flow rate curve is extracted as a marker point, and the smoke amount curve is segmented according to the marker point.

[0066] The inflection point feature is a sudden rise or fall of the molten iron flow rate at a certain time, the periodic marker set includes N marker points, and the adjacent two marker points are a flow rate interval. After the smoke amount curve is segmented in the corresponding flow rate interval, a corresponding smoke amount interval is obtained.

[0067] N-1 smoke amount intervals are generated by N marker points.

[0068] It can be understood that in the process of tapping the blast furnace, the smoke amount rises and falls. In order to achieve the purpose of energy saving, the frequency control of the fan needs to be controlled according to the rising and falling amplitude, but when mapped to the overall smoke amount curve, there are many frequency control parameters corresponding to each time point. The smoke amount curve is segmented in advance to form the rising section smoke amount interval, the falling section smoke amount interval, the second rising section smoke amount interval, etc.

[0069] The frequency control parameters of the corresponding time points are calculated in the separate intervals, which facilitates data processing.

[0070] S500, generating time-sequenced dust removal fan frequency control parameters according to the segmented smoke amount curve, and running the dust removal fan according to the frequency control parameters to achieve energy saving.

[0071] In S500, the time-sequenced dust removal fan frequency control parameters are generated according to the segmented smoke amount curve, which includes:

[0072] Extracting the smoke amount data of each time point in the smoke amount interval corresponding to each part of the smoke amount curve;

[0073] According to the smoke amount data and the rated air volume of the dust removal fan, the frequency control parameters corresponding to each time point are calculated;

[0074] The frequency control parameters corresponding to the time points are collected and sorted into a frequency reference set corresponding to the smoke amount interval time;

[0075] According to the frequency reference set, the frequency control of the dust removal fan is performed.

[0076] In this embodiment, by building a furnace-front iron-tapping model and an iron-tapping smoke dust correlation model, the molten iron flow rate is predicted under different molten iron outputs, and the smoke amount is predicted again based on the predicted molten iron flow rate, to assist in the calculation of the variable frequency control parameters of the dust removal fan, and to collect and organize the variable frequency reference sets in partitions. In the actual iron-tapping process, the variable frequency control of the dust removal fan is realized according to the variable frequency reference sets according to time periods, thereby solving the problem of energy waste caused by the dust removal fan always running at rated power.

[0077] like Figure 3 As shown, the method further includes: obtaining a smoke temperature curve corresponding to the molten iron flow rate curve, segmenting the smoke temperature curve using the same inflection point feature marking method, wherein each segmented smoke temperature curve corresponds to a smoke temperature interval, that is, generating N-1 smoke temperature intervals through N marking points;

[0078] According to the difference between the smoke temperature and the suction gas temperature of the dust removal fan at the corresponding time point in the smoke temperature range, the smoke temperature adjustment difference is determined, and each smoke temperature adjustment difference is summarized into a temperature adjustment parameter set;

[0079] The temperature of the suction gas at the dust removal fan inlet is cooled and controlled by the temperature control parameter set.

[0080] It should be added that: when the dust removal fan is running, the smoke temperature will cause damage to the dust removal fan channel. Lowering the smoke temperature can increase the service life of the dust removal fan. Since the smoke temperature and the molten iron flow rate are related, the smoke temperature adjustment difference at each time can be obtained in the same way. The smoke temperature can be adjusted through external cooling equipment to ensure that the smoke temperature is maintained at the same appropriate temperature when entering the dust removal fan.

[0081] An energy-saving system for a furnace front iron-tapping dust removal fan, comprising:

[0082] The acquisition module collects molten iron data and smoke dust data during the blast furnace tapping process;

[0083] A processing module processes the molten iron data and the smoke data to establish a furnace tapping model and a tapping smoke correlation model;

[0084] The prediction module predicts the molten iron flow rate curve in time order during the actual tapping process based on the furnace tapping model, and generates a dust volume curve based on the predicted molten iron flow rate curve in the tapping dust correlation model;

[0085] The marking module extracts the inflection point features of the molten iron flow rate curve as marking points, and segments the smoke volume curve based on the marking points;

[0086] Frequency conversion module; generates time-ordered frequency conversion control parameters for the dust removal fan according to the divided smoke and dust amount curves of each part, and operates the dust removal fan according to the frequency conversion control parameters to achieve energy saving.

[0087] Also included is an acquisition unit;

[0088] The collected molten iron data includes furnace pressure, molten iron flow rate, molten iron temperature and iron output information;

[0089] The collected smoke data includes smoke quantity and smoke temperature information;

[0090] The acquisition equipment includes blast furnace monitoring equipment, high-speed cameras, smoke monitoring sensors, and temperature monitoring sensors;

[0091] For example, the integrated dust detector has the following features: measuring range 0~100g / m3, zero drift <0.1 g / m3, applicable dust velocity range >7m / s, resolution 0.01g / m3, response time <1s, system output 4-20mA analog output (standard), flue temperature 40°C~120°C, electrical specifications: two-wire transmission (24V power supply and analog feedback);

[0092] Infrared temperature sensor: measurement range 400~1200 degrees, optical resolution 50:1, spectral range 1.55um measurement accuracy ±2%, response time 100ms, system output 4-20mA analog output (standard), electrical specifications: two-wire transmission (power supply 24V and analog feedback).

[0093] It also includes a temperature control unit connected to the temperature control device.

[0094] For example, the heat exchanger performs heat exchange on the smoke gas and cools the smoke before it enters the dust removal fan;

[0095] By inputting the dust temperature adjustment difference, the cooling power of the heat exchanger is controlled, the dust is cooled by heat exchange, and the dust gas temperature is adjusted to a temperature suitable for the dust removal fan to inhale.

[0096] It should be understood that the above-described specific embodiments of the present invention are merely illustrative or illustrative of the principles of the present invention and do not constitute limitations of the present invention. Therefore, any modifications, equivalent substitutions, improvements, etc. made without departing from the spirit and scope of the present invention should be included within the scope of protection of the present invention. In addition, the appended claims are intended to cover all variations and modifications that fall within the scope and metes and bounds of the appended claims, or equivalents thereof.

Claims

1. An energy-saving method for a furnace front iron-tapping dust removal fan, characterized in that: include: S100, collecting molten iron data and smoke dust data during a blast furnace tapping process, wherein the molten iron data includes furnace pressure, molten iron flow rate, molten iron temperature, and tapping amount information, and the smoke dust data includes smoke dust amount and smoke dust temperature information; S200, processing the molten iron data and the smoke data to establish a furnace tapping model and a tapping smoke correlation model; S300, predicting a molten iron flow rate curve in time order during the actual tapping process according to the furnace tapping model, and generating a smoke amount curve according to the predicted molten iron flow rate curve in the tapping smoke correlation model; S400, extracting inflection point features of the molten iron flow rate curve as marking points, and segmenting the smoke amount curve based on the marking points; In S400, the inflection point features of the molten iron flow rate curve are extracted as marking points, and the smoke amount curve is segmented based on the marking points; The inflection point feature is the sudden increase or decrease in the molten iron flow rate at a certain time. The periodic mark set includes N mark points. Two adjacent mark points represent a flow rate interval. The smoke amount curve in the corresponding flow rate interval corresponds to the smoke amount interval after segmentation. That is, N-1 smoke amount intervals are generated through N marking points; S500, generating time-ordered frequency conversion control parameters for the dust removal fan according to the divided smoke and dust amount curves of each part, and operating the dust removal fan according to the frequency conversion control parameters to achieve energy saving; In S500, the dust removal fan variable frequency control parameters are generated in time order according to the divided smoke and dust amount curves, including: Extracting smoke amount data at each time point in the smoke amount interval corresponding to each part of the smoke amount curve; Calculate the frequency conversion control parameters corresponding to each time point based on the smoke and dust volume data and the rated air volume of the dust removal fan; The frequency conversion control parameters at corresponding time points are collected and sorted into a frequency conversion reference set within the corresponding smoke amount interval time; Perform variable frequency control of dust removal fans based on variable frequency reference sets; Obtain the smoke temperature curve corresponding to the molten iron flow rate curve, and segment the smoke temperature curve using the same inflection point feature marking method. Each segmented smoke temperature curve corresponds to a smoke temperature interval, that is, N-1 smoke temperature intervals are generated through N marking points. According to the difference between the smoke temperature and the suction gas temperature of the dust removal fan at the corresponding time point in the smoke temperature range, the smoke temperature adjustment difference is determined, and each smoke temperature adjustment difference is summarized into a temperature adjustment parameter set; The temperature of the suction gas at the dust removal fan inlet is cooled and controlled by the temperature control parameter set.

2. The energy-saving method for a furnace-front iron-tapping dust removal fan according to claim 1, characterized in that: In S200, establishing the iron tapping model includes: The data used in training the iron-tapping model at the furnace front include furnace pressure, molten iron flow rate, molten iron temperature and iron tapping amount. Each data item is sorted and numbered at the same time interval to form a data set. The data set includes a training set and a test set. The model is trained with the training set and evaluated with the test set.

3. The energy-saving method for the dust removal fan before the iron tapping furnace according to claim 2 is characterized in that: In S200, establishing the tapping smoke correlation model includes: The data used to train the tapping smoke association model includes molten iron flow rate, molten iron temperature, smoke amount and smoke temperature information. The smoke amount and smoke temperature information are sorted and numbered according to the same time interval of the molten iron flow rate and molten iron temperature to form a data set. The data set includes a training set and a test set to assist in the training and evaluation of the tapping smoke association model.

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