CN211522243U - Non-contact soft measuring device for molten steel temperature - Google Patents
Non-contact soft measuring device for molten steel temperature Download PDFInfo
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- CN211522243U CN211522243U CN202020118685.0U CN202020118685U CN211522243U CN 211522243 U CN211522243 U CN 211522243U CN 202020118685 U CN202020118685 U CN 202020118685U CN 211522243 U CN211522243 U CN 211522243U
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Abstract
The utility model discloses a molten steel temperature non-contact soft measuring device, which is characterized in that a non-contact infrared temperature measuring sensor is arranged at the top end of a smelting furnace, furnace wall temperature measuring sensors are arranged on the outer wall of the smelting furnace at multiple points, and a molten steel temperature measuring model based on a BP neural network is arranged in a matching way; the non-contact infrared temperature measuring sensor measures the temperature t0 through infrared rays emitted by steel slag above the smelting furnace, the non-contact infrared temperature measuring sensor is communicated with furnace wall temperature measuring sensors arranged at multiple points on the outer wall of the smelting furnace through a built-in communication circuit, the furnace wall temperature measuring sensors arranged at multiple points measure the multiple point temperature values of the furnace wall to obtain multiple point data, and the soft measurement of the temperature is realized by utilizing a molten steel temperature measuring model.
Description
Technical Field
The utility model relates to a molten steel temperature measurement technical field, in particular to molten steel temperature non-contact soft measuring device, concretely is applied to the automated control system of steel smelting process.
Background
Converter steelmaking (BOF) is a typical batch production process involving complex physicochemical reactions, however, due to the lack of effective detection means in the smelting process and the lack of accurate understanding of the complexity, volatility and reaction dynamics of the steel smelting process, the prediction and control of the converter end-point quality (composition and temperature) has always been a difficult problem for steel production. The accurate prediction is made on the temperature of the end point of the steel-making process and the temperature is adjusted in time, which is very important for the converter device and has great significance for balancing the production of the whole steel-making-continuous casting-continuous rolling process.
At present, the temperature measurement of molten steel in the steelmaking process is divided into a contact type and a non-contact type, a protective layer of a contact type continuous temperature measurement sensor is corroded by the molten steel, and the measurement cost is high; at present, the non-contact temperature measurement is difficult to break through the situation that the steel slag measures the temperature below the molten steel.
SUMMERY OF THE UTILITY MODEL
The utility model aims to provide a not enough to prior art exists, the utility model aims to provide a soft measuring device of molten steel temperature non-contact utilizes soft measuring method, models with the temperature of a plurality of easy measuring transducer values under to the slag, realizes non-contact molten steel contact temperature measurement.
The above technical purpose of the present invention can be achieved by the following technical solutions:
the utility model provides a measuring device of soft measurement of molten steel temperature non-contact, its oven temperature sensor by non-contact infrared temperature sensor and multiple spot setting constitutes, non-contact infrared temperature sensor sets up and is used for measuring molten steel dross surface temperature in smelting pot top position, a plurality of oven temperature sensor of multiple spot setting along the vertical direction multiple spot setting of smelting pot outer wall, and along smelting pot outer wall circumference evenly arranged.
The non-contact infrared temperature measuring sensor in the measuring device consists of a high-temperature glass window, an infrared reflecting mirror, an infrared temperature measuring head and an air-cooled scattering shell; infrared rays emitted by the steel slag above the furnace body are projected onto the infrared reflecting mirror through the high-temperature glass window, and infrared rays reflected by the infrared mirror enter the infrared temperature measuring sensor to measure the temperature t 0; the air-cooled radiating shell enables the temperature to be reduced to the working temperature range of the infrared measuring head through heat exchange with the outside.
The furnace wall temperature measuring sensor in the measuring device consists of a thermoelectric generation battery, a battery electric quantity conversion circuit, a furnace wall temperature probe, a temperature acquisition and transmission circuit and a convection scattering shell; the thermoelectric power generation battery converts the heat of the furnace wall into electric energy, the battery electric quantity conversion circuit conditions the voltage, the furnace wall acquisition transmission circuit acquires the temperature value measured by the furnace wall temperature probe, and the air-cooled heat dissipation shell enables the temperature to be reduced to the temperature range of the circuit work through heat exchange with the outside.
The furnace wall temperature measuring sensor is arranged on a furnace body of the steel furnace and is divided into an upper height, a middle height and a lower height, and each height is provided with three sensors, and the total number of the sensors is nine.
To sum up, the utility model discloses the beneficial effect who contrasts in prior art does:
1. because the gradient of the furnace wall temperature is adopted to approach the difference between the surface temperature of the steel slag and the actual temperature of the molten steel, the furnace wall temperature is not considered in the prior measurement, and only the surface temperature of the furnace slag is used, so the measurement value is more accurate;
2. because the invention adopts the multipoint temperature measurement at the same height, the temperature error caused by the non-uniform heat insulating layer of the furnace wall is reduced, and the precision is improved;
3. because the invention adopts the gradient value of the furnace wall temperature instead of the temperature sense value, the error caused by the consumption and thinning of the heat insulation layer is overcome, and the robustness of the system is improved.
Drawings
The disclosure of the present invention will become more readily understood with reference to the accompanying drawings. As is readily understood by those skilled in the art: these drawings are only for illustrating the technical solutions of the present invention and are not intended to limit the scope of the present invention.
FIG. 1 is a schematic diagram of the components of the measuring apparatus;
FIG. 2 is a schematic diagram of temperature modeling data acquisition;
FIG. 3 is a schematic view of a molten steel temperature model.
Detailed Description
The following provides a more detailed description of the present invention with reference to the accompanying drawings.
The following description describes alternative embodiments of the invention to guide those skilled in the art how to make and use the invention. Some conventional aspects have been simplified or omitted for guidance of the technical solution of the present invention. Those skilled in the art will appreciate that variations or substitutions from these embodiments will be within the scope of the invention. Those skilled in the art will appreciate that the features described below can be combined in various ways to form multiple variations of the invention. Thus, the present invention is not limited to the following alternative embodiments, but is only limited by the claims and their equivalents.
Referring to fig. 1, a measuring device for non-contact soft measurement of molten steel temperature comprises a non-contact infrared temperature measuring sensor and a plurality of multipoint furnace wall temperature measuring sensors, wherein the non-contact infrared temperature measuring sensor is arranged at the top end of a melting furnace and is used for measuring the surface temperature of molten steel scum; specifically, the furnace wall temperature measuring sensor is arranged on a furnace body of the steel furnace and is divided into an upper height, a middle height and a lower height, each height is provided with three sensors, the total number of the sensors is nine, and the measured temperature points are tUpper 1、tUpper 2、tUpper 3、tIn 1、tIn 2、tMiddle 3、tLower 1、tLower 2、 tLower 3。
The non-contact infrared temperature measuring sensor consists of a high-temperature glass window, an infrared reflecting mirror, an infrared temperature measuring head and an air-cooled scattering shell; infrared rays emitted by the steel slag above the furnace body are projected onto the infrared reflecting mirror through the high-temperature glass window, and infrared rays reflected by the infrared mirror enter the infrared temperature measuring sensor to measure the temperature t 0; the air-cooled radiating shell enables the temperature to be reduced to the working temperature range of the infrared measuring head through heat exchange with the outside.
The furnace wall temperature measuring sensor consists of a temperature difference power generation battery, a battery electric quantity conversion circuit, a furnace wall temperature probe, a temperature acquisition and transmission circuit and a convection scattering shell; the thermoelectric power generation battery converts the heat of the furnace wall into electric energy, the battery electric quantity conversion circuit conditions the voltage, the furnace wall acquisition transmission circuit acquires the temperature value measured by the furnace wall temperature probe, and the air-cooled heat dissipation shell enables the temperature to be reduced to the temperature range of the circuit work through heat exchange with the outside.
When in use, a non-contact infrared temperature sensor arranged on a smelting furnace above a furnace body measures the surface temperature of molten steel scum, and a multipoint temperature sensor arranged at a specific position on the outer wall of the furnace body measures the furnace wall temperature of the furnace body; 10 groups of temperature data are measured at the same time, the temperature of the furnace wall reflects the gradient condition of the temperature in the furnace, the temperature of scum reflects the temperature at the top of the furnace, and the temperature of molten steel in the furnace is calculated by establishing a temperature model through a neural network.
On the basis of the measuring device, a measuring method for non-contact soft measurement of the molten steel temperature is correspondingly developed, the establishment of a molten steel temperature model is an important technical means of the invention, the establishment of the model by using a neural network needs to be based on a large amount of sample data, a method for collecting the sample data is shown in figure 2, and a contact type temperature sensor is installed on the basis of the measuring device; at the same time, 11 data are collected from the data collected on the contact temperature sensor and 10 data collected by the device, and a group of training data of the neural network is formed; the 10 data are used as input data of the neural network through preprocessing, the contact temperature sensor is used as an output training sample of the neural network, and the model is built through training.
Based on the molten steel temperature measurement model, the molten steel temperature T is as follows:
t ═ f (T0, dt1, dt2), f is a three-input-one-output BP neural network;
wherein dt1 ═ t (t)In 1+tIn 2+tMiddle 3)-(tUpper 1+tUpper 2+tUpper 3)
dt2＝(tLower 1+tLower 2+tLower 3)-(tIn 1+tIn 2+tMiddle 3)；
In the foregoing, in the BP neural network in the molten steel temperature measurement model, the weight training process is as follows:
step 1: a temperature measuring device and a contact temperature measuring device are arranged in the same furnace body, and the temperature measuring device comprises a non-contact infrared temperature measuring sensor and furnace wall temperature measuring sensors arranged at multiple points;
step 2: continuously measuring the temperature of the same steelmaking process, and obtaining 10 data actually measured by a sensor in a temperature measuring device and a contact temperature measuring value t of molten steel contact temperature measurement at n moments to obtain 11 data, wherein the 11 data are a group of data;
and step 3: calculating values of dt1 and dt2 in a group of data, taking the two values and t0 as input values of a neural network, taking a contact temperature measured value t as an output value of a BP (back propagation) neural network, and training the neural network by using multiple groups of data;
and 4, step 4: and when the error is smaller than the set error, the obtained BP neural network weight is the weight of the model.
Referring to fig. 3, the driving data of the molten steel temperature model is 10 temperature sampling data distributed on the furnace body, furnace wall temperature data form a furnace wall temperature matrix T, and dt1 and dt2 are calculated through a relation matrix R; dt1, dt2 and t0 are used as the input of the BP neural network, and the output of the neural network is the soft measurement temperature of the molten steel.
The above description is intended to be illustrative of the present invention and not to limit the scope of the invention, which is defined by the claims appended hereto.
The above description is only an exemplary embodiment of the present invention, and is not intended to limit the scope of the present invention, which is defined by the appended claims.
Claims (4)
1. A molten steel temperature non-contact soft measuring device is characterized in that: the furnace wall temperature measuring sensor comprises a non-contact infrared temperature measuring sensor and a multipoint-set furnace wall temperature measuring sensor, wherein the non-contact infrared temperature measuring sensor is arranged at the top end of the smelting furnace and used for measuring the surface temperature of molten steel scum, and the multipoint-set furnace wall temperature measuring sensors are arranged along the multipoint of the outer wall of the smelting furnace in the vertical direction and are evenly distributed along the circumferential direction of the outer wall of the smelting furnace.
2. The non-contact soft measuring device of the molten steel temperature according to claim 1, characterized in that: the non-contact infrared temperature measuring sensor consists of a high-temperature glass window, an infrared reflecting mirror, an infrared temperature measuring head and an air-cooled scattering shell; infrared rays emitted by the steel slag above the furnace body are projected onto the infrared reflecting mirror through the high-temperature glass window, and infrared rays reflected by the infrared mirror enter the infrared temperature measuring sensor to measure the temperature t 0; the air-cooled radiating shell enables the temperature to be reduced to the working temperature range of the infrared measuring head through heat exchange with the outside.
3. The non-contact soft measuring device of the molten steel temperature according to claim 1, characterized in that: the furnace wall temperature measuring sensor consists of a thermoelectric generation battery, a battery electric quantity conversion circuit, a furnace wall temperature probe, a temperature acquisition and transmission circuit and a convection scattering shell; the thermoelectric power generation battery converts the heat of the furnace wall into electric energy, the battery electric quantity conversion circuit conditions the voltage, the furnace wall acquisition transmission circuit acquires the temperature value measured by the furnace wall temperature probe, and the air-cooled heat dissipation shell enables the temperature to be reduced to the temperature range of the circuit work through heat exchange with the outside.
4. The non-contact soft measuring device of the molten steel temperature according to claim 1, characterized in that: the furnace wall temperature measuring sensor is arranged on a furnace body of the steel furnace and is divided into an upper height, a middle height and a lower height, and each height is provided with three sensors, namely nine sensors.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202020118685.0U CN211522243U (en) | 2020-01-16 | 2020-01-16 | Non-contact soft measuring device for molten steel temperature |
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| Application Number | Priority Date | Filing Date | Title |
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| CN202020118685.0U CN211522243U (en) | 2020-01-16 | 2020-01-16 | Non-contact soft measuring device for molten steel temperature |
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| CN211522243U true CN211522243U (en) | 2020-09-18 |
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| CN202020118685.0U Withdrawn - After Issue CN211522243U (en) | 2020-01-16 | 2020-01-16 | Non-contact soft measuring device for molten steel temperature |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111270044A (en) * | 2020-01-16 | 2020-06-12 | 杭州麦乐克科技股份有限公司 | Non-contact soft measurement method and device for molten steel temperature |
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- 2020-01-16 CN CN202020118685.0U patent/CN211522243U/en not_active Withdrawn - After Issue
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111270044A (en) * | 2020-01-16 | 2020-06-12 | 杭州麦乐克科技股份有限公司 | Non-contact soft measurement method and device for molten steel temperature |
| CN111270044B (en) * | 2020-01-16 | 2023-08-29 | 杭州麦乐克科技股份有限公司 | Non-contact soft measurement method and device for molten steel temperature |
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| AV01 | Patent right actively abandoned |
Granted publication date: 20200918 Effective date of abandoning: 20230829 |