Sonar slagging detection system based on Internet of Things
The IoT-based sonar slag detection system enables comprehensive detection and prevention of splashing and re-drying phenomena within the converter, improving detection accuracy and the safety of the steelmaking process.
Patent Information
- Application Number
- CN202423084527.5
- Authority / Receiving Office
- CN · China
- Patent Type
- Utility models(China)
- Current Assignee / Owner
- Filing Date
- 2024-12-13
- Publication Date
- 2025-10-31
- Estimated Expiration
- 2034-12-13
AI Technical Summary
Existing technology cannot perform comprehensive inspection of the converter's interior, resulting in the inability to effectively prevent splashing and re-drying phenomena, and inaccurate inspection results.
Design an IoT-based sonar slag detection system, including a central processing module, a data acquisition module, a prevention and protection module, a temperature control module, and an alarm module. The system collects information from inside the converter through multiple sonar sensors, high-definition cameras, and gas detectors, performs spectrum analysis and computer model calculations, and monitors and prevents splashing and back-drying phenomena in real time.
It enables accurate detection inside the converter, allowing for early prevention of splashing and re-drying phenomena, thus improving the safety and efficiency of the steelmaking process.
Smart Images
Figure CN223496513U_ABST
Abstract
Description
Technical Field
[0001] This utility model relates to the field of furnace reaction detection technology, specifically to a sonar slag detection system based on the Internet of Things. Background Technology
[0002] Sonar slag detection inside a converter is a method that uses sonar technology to detect the thickness of the slag layer and the slag formation inside the converter.
[0003] Splashing and re-drying are two common phenomena in converter steelmaking:
[0004] Splashing refers to the phenomenon in the converter steelmaking process where an uneven carbon-oxygen reaction leads to the instantaneous generation of a large amount of gas, which is ejected from the furnace mouth, carrying metal and slag out of the furnace. There are three main types of splashing: explosive splashing, foaming splashing, and metal splashing.
[0005] Re-drying refers to the phenomenon in the converter steelmaking process where the ferrous oxide content in the slag is too low, which increases the viscosity of the slag and may even cause it to clump. Re-drying will seriously affect the desulfurization and dephosphorization effect, increase blowing loss, aggravate furnace lining erosion, and may even lead to a reduction in oxygen supply intensity or a shutdown of blowing.
[0006] However, existing technologies only detect slag inside the furnace at a single location, which is not accurate and cannot provide comprehensive detection of the furnace interior. Furthermore, they cannot effectively prevent phenomena such as splashing and re-drying that may occur inside the furnace.
[0007] Based on this, this utility model designs a sonar slag detection system based on the Internet of Things to solve the above problems. Utility Model Content
[0008] In view of the above-mentioned shortcomings of the existing technology, this utility model provides a sonar slag detection system based on the Internet of Things.
[0009] To achieve the above objectives, this utility model provides the following technical solution:
[0010] A sonar slag detection system based on the Internet of Things includes a central processing module, as well as a data acquisition module, a slag database, a prevention and protection module, a temperature control module, an alarm module, and a communication module;
[0011] The central processing module is electrically connected to the data acquisition module for collecting information inside the converter, the slag database for storing data under different conditions of steel slag, the prevention and protection module for preventing slag splashing and drying inside the converter, the temperature control module for adjusting the temperature inside the converter, the alarm module for notifying staff, and the communication module. The communication module is wirelessly connected to the terminal and the Internet platform.
[0012] Furthermore, the data acquisition module includes a sound acquisition unit for recording the sound characteristics of slag melting, an image acquisition unit for acquiring images of steel slag reaction, and a gas acquisition unit for detecting the gas content inside the converter. The sound acquisition unit and the image acquisition unit are both fixedly installed on the outside of the converter, and the gas acquisition unit is installed on the upper inside of the converter.
[0013] Furthermore, multiple sound acquisition units are evenly spaced and distributed around the converter. The sound acquisition units are sonar sensors, and the image acquisition units are high-definition cameras, with the camera's shooting end facing the converter's monitoring window.
[0014] Furthermore, the gas collection unit includes a CO detector and a CO detector, both of which are fixedly installed inside the upper part of the converter.
[0015] Furthermore, the sound acquisition unit, image acquisition unit, CO detector, and CO detector are all electrically connected to the central processing module.
[0016] Furthermore, the prevention and protection module includes an oxygen lance moving device, an iron oxide dosing device, and an oxygen lance. The oxygen lance moving device is located above the converter, the iron oxide dosing device is fixedly connected to the converter and is used to add iron oxide, and the oxygen lance is fixedly installed on the output end of the oxygen lance moving device.
[0017] Furthermore, the oxygen lance moving device, the iron oxide dosing device, and the control terminal of the oxygen lance are all electrically connected to the central processing module.
[0018] Furthermore, the temperature control module is a temperature controller, which is fixedly installed inside the converter and is electrically connected to the central processing module.
[0019] Furthermore, the alarm module includes a horn and an indicator light, both of which are fixedly installed on the outside of the converter, and both the horn and the indicator light are electrically connected to the central processing module.
[0020] Compared with the prior art, the advantages of this utility model are as follows: This utility model is equipped with sound acquisition units at multiple positions on the outside of the converter. Multiple sound acquisition units monitor the noise during blowing in the furnace, making the detection effect accurate. Furthermore, effective preventive measures are taken against splashing and back-drying phenomena that will occur in the furnace through the prevention and protection module and the temperature control module.
[0021] The sound acquisition unit collects noise information during converter blowing, the image acquisition unit collects image information during converter blowing, and the gas acquisition unit collects information on the gas content inside the furnace. These are then uploaded to the central processing module. The central processing module performs spectrum analysis and computer model calculations to detect the slag formation inside the converter. The detection results are compared with the data stored in the slag formation database to query the current reaction status inside the furnace. If there is no data in the slag formation database that corresponds to the detection results in the central processing module, the central processing module sends an instruction to the communication module. The communication module queries the detection results through the Internet platform and sends them back to the central processing module.
[0022] If the central processing module detects a tendency for slag splashing inside the furnace, it will activate the oxygen lance, change the ratio of oxygen to carbon in the furnace, and adjust the temperature inside the furnace through the temperature controller to improve the furnace environment and prevent slag splashing.
[0023] If the central processing module detects a trend of re-drying in the furnace, it adjusts the height of the oxygen lance through the oxygen lance moving device. Increasing the height of the oxygen lance can reduce the kinetic energy of the oxygen stream, thereby reducing the impact on the molten pool, slowing down the chemical reaction rate, reducing the consumption of iron oxide, and thus increasing the iron oxide content in the molten pool, which helps to prevent re-drying.
[0024] The central processing module calculates the required iron oxide content based on the changes and trends of the CO concentration curves collected by the CO and CO2 detectors, and adds appropriate iron oxide through the iron oxide dosing device to stabilize the blowing effect and effectively control the occurrence of abnormal re-drying.
[0025] If splashing and back-drying still occur inside the furnace after taking the corresponding measures, the horn and indicator lights will immediately sound an alarm, notifying the staff to shut down the converter and check other testing equipment.
[0026] This invention analyzes and collects data based on an internet platform, achieving comprehensive data analysis and enabling the detection and analysis of splashing and re-drying phenomena inside the furnace, effectively preventing splashing and re-drying phenomena. Attached Figure Description
[0027] To more clearly illustrate the technical solutions in the embodiments of this utility model or the prior art, the drawings used in the description of the embodiments or the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of this utility model. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.
[0028] Figure 1This is a block diagram of a sonar slag detection system based on the Internet of Things according to this utility model;
[0029] Figure 2 This is a block diagram of the data acquisition module of this utility model;
[0030] Figure 3 This is a block diagram of the prevention and protection module of this utility model;
[0031] Figure 4 This is a block diagram of the alarm module of this utility model.
[0032] The labels in the diagram represent:
[0033] 1. Central processing module; 2. Data acquisition module; 21. Sound acquisition unit; 22. Image acquisition unit; 23. Gas acquisition unit; 231. CO detector; 232. CO2 detector; 3. Slag database; 4. Prevention and protection module; 41. Oxygen lance moving device; 42. Iron oxide dosing device; 43. Oxygen lance; 5. Temperature control module; 6. Alarm module; 61. Speaker; 62. Indicator light; 7. Communication module; 8. Terminal; 9. Internet platform. Detailed Implementation
[0034] To make the objectives, technical solutions, and advantages of the embodiments of this utility model clearer, the technical solutions of the embodiments of this utility model will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some, not all, of the embodiments of this utility model. All other embodiments obtained by those skilled in the art based on the embodiments of this utility model without creative effort are within the scope of protection of this utility model.
[0035] Example 1: In some embodiments, please refer to the accompanying drawings. Figures 1-4 A sonar slag detection system based on the Internet of Things includes a central processing module 1, a data acquisition module 2, a slag database 3, a prevention and protection module 4, a temperature control module 5, an alarm module 6, and a communication module 7.
[0036] The central processing module 1 is electrically connected to the data acquisition module 2 for collecting information inside the converter, the slag database 3 for storing data under different conditions of steel slag, the prevention and protection module 4 for preventing slag splashing and drying inside the converter, the temperature control module 5 for adjusting the temperature inside the converter, the alarm module 6 for notifying staff, and the communication module 7. The communication module 7 is wirelessly connected to the terminal 8 and the Internet platform 9.
[0037] The data acquisition module 2 includes a sound acquisition unit 21 for recording the sound characteristics of slag melting, an image acquisition unit 22 for acquiring images of steel slag reaction, and a gas acquisition unit 23 for detecting the gas content inside the converter. The sound acquisition unit 21 and the image acquisition unit 22 are both fixedly installed on the outside of the converter, and the gas acquisition unit 23 is installed on the upper inside of the converter.
[0038] Multiple sound acquisition units 21 are evenly spaced and distributed around the converter. The sound acquisition unit 21 is a sonar sensor, and the image acquisition unit 22 is a high-definition camera. The shooting end of the high-definition camera is facing the monitoring window of the converter.
[0039] The gas collection unit 23 includes a CO detector 231 and a CO2 detector 232, both of which are fixedly installed inside the upper part of the converter.
[0040] The sound acquisition unit 21, image acquisition unit 22, CO detector 231, and CO2 detector 232 are all electrically connected to the central processing module 1.
[0041] The prevention and protection module 4 includes an oxygen lance moving device 41, an iron oxide adding device 42, and an oxygen lance 43. The oxygen lance moving device 41 is located above the converter. The iron oxide adding device 42 is fixedly connected to the converter and is used to add iron oxide. The oxygen lance 43 is fixedly installed on the output end of the oxygen lance moving device 41.
[0042] The control terminals of the oxygen lance moving device 41, the iron oxide dosing device 42, and the oxygen lance 43 are all electrically connected to the central processing module 1.
[0043] The oxygen lance moving device 41 can be a linear slide rail.
[0044] The temperature control module 5 is a temperature controller, which is fixedly installed inside the converter and is electrically connected to the central processing module 1.
[0045] The temperature controller converts electrical signals fed back from temperature probes or thermocouples into temperature values. Based on the set temperature values, it controls the connection and disconnection of the heater to achieve temperature control within a specified range. When the temperature probe or thermocouple is affected by temperature changes, it generates a weak current. The temperature controller receives these electrical signals and converts them into temperature values. When the upper limit value set by the temperature controller is reached, the temperature controller disconnects the power supply to the heater, stopping it from heating. When the temperature drops to the set lower limit value, the temperature controller connects the power supply to the heater, reheating it. This process continuously cycles, thereby achieving temperature control.
[0046] The alarm module 6 includes a horn 61 and an indicator light 62. Both the horn 61 and the indicator light 62 are fixedly installed on the outside of the converter. Both the horn 61 and the indicator light 62 are electrically connected to the central processing module 1.
[0047] This utility model has sound acquisition units 21 at multiple locations on the outside of the converter. The multiple sound acquisition units 21 monitor the noise during the blowing process inside the furnace, making the detection effect accurate. Furthermore, effective preventive measures are taken against splashing and back-drying phenomena that may occur inside the furnace through the prevention and protection module 4 and the temperature control module 5.
[0048] The sound acquisition unit 21 collects noise information during converter blowing, the image acquisition unit 22 collects image information during converter blowing, and the gas acquisition unit 23 collects information on the gas content inside the furnace. These are then uploaded to the central processing module 1. The central processing module 1 performs spectrum analysis and computer model calculations to detect the slag formation inside the converter. The detection results are compared with the data stored in the slag database 3 to query the current reaction status inside the furnace. If there is no data in the slag database 3 that corresponds to the detection results in the central processing module 1, the central processing module 1 sends an instruction to the communication module 7. The communication module 7 queries the detection results through the Internet platform 9 and sends them back to the central processing module 1.
[0049] If the central processing module 1 detects a tendency for slag splashing inside the furnace, it will activate the oxygen lance 43 to change the ratio of oxygen to carbon inside the furnace and adjust the temperature inside the furnace through the temperature controller to improve the environment inside the furnace and prevent slag splashing.
[0050] If the central processing module 1 analyzes that there is a trend of re-drying in the furnace, the central processing module 1 adjusts the height of the oxygen lance 43 through the oxygen lance moving device 41. Increasing the height of the oxygen lance 43 can reduce the kinetic energy of the oxygen stream, thereby reducing the impact on the molten pool, reducing the chemical reaction rate, reducing the consumption of iron oxide, thereby increasing the iron oxide content in the molten pool, which helps to prevent the re-drying phenomenon.
[0051] The central processing module 1 calculates the required iron oxide content based on the changes and trends of the CO concentration curves collected by the CO detector 231 and CO2 detector 232, and adds appropriate iron oxide through the iron oxide dosing device 42 to stabilize the blowing effect and effectively control the occurrence of abnormal re-drying.
[0052] If splashing and back-drying still occur inside the furnace after taking corresponding measures, the horn 61 and indicator light 62 will immediately sound an alarm, notifying the staff to shut down the converter and check other testing equipment.
[0053] This utility model analyzes and collects data information based on the Internet platform, achieving comprehensive data analysis and enabling the detection and analysis of splashing and re-drying phenomena in the furnace, effectively preventing splashing and re-drying phenomena.
[0054] The above embodiments are only used to illustrate the technical solutions of this utility model, and are not intended to limit it. Although this utility model has been described in detail with reference to the foregoing embodiments, those skilled in the art should understand that modifications can still be made to the technical solutions described in the foregoing embodiments, or equivalent substitutions can be made to some of the technical features. Such modifications or substitutions will not cause the essence of the corresponding technical solutions to deviate from the spirit and scope of the technical solutions of the embodiments of this utility model.
Claims
1. A sonar slag detection system based on the Internet of Things, comprising a central processing module (1), characterized in that, It also includes a data acquisition module (2), a slag database (3), a prevention and protection module (4), a temperature control module (5), an alarm module (6), and a communication module (7). The central processing module (1) is electrically connected to the data acquisition module (2) for collecting information inside the converter, the slag database (3) for storing data under different conditions of steel slag, the prevention and protection module (4) for preventing slag splashing and drying inside the converter, the temperature control module (5) for adjusting the temperature inside the converter, the alarm module (6) for notifying the staff, and the communication module (7). The communication module (7) is wirelessly connected to the terminal (8) and the Internet platform (9). The data acquisition module (2) includes a sound acquisition unit (21) for recording the sound characteristics of slag, an image acquisition unit (22) for acquiring images of steel slag reaction, and a gas acquisition unit (23) for detecting the gas content inside the converter. The sound acquisition unit (21) and the image acquisition unit (22) are both fixedly installed on the outside of the converter, and the gas acquisition unit (23) is installed on the upper inside of the converter.
2. The sonar slag detection system based on the Internet of Things according to claim 1, characterized in that, Multiple sound acquisition units (21) are evenly spaced and distributed around the converter. The sound acquisition unit (21) is a sonar sensor, and the image acquisition unit (22) is a high-definition camera. The shooting end of the high-definition camera is facing the monitoring window of the converter.
3. The sonar slag detection system based on the Internet of Things according to claim 2, characterized in that, The gas collection unit (23) includes a CO detector (231) and a CO2 detector (232), both of which are fixedly installed inside the converter at the upper end.
4. The sonar slag detection system based on the Internet of Things according to claim 3, characterized in that, The sound acquisition unit (21), image acquisition unit (22), CO detector (231), and CO2 detector (232) are all electrically connected to the central processing module (1).
5. The sonar slag detection system based on the Internet of Things according to claim 4, characterized in that, The prevention and protection module (4) includes an oxygen lance moving device (41), an iron oxide adding device (42), and an oxygen lance (43). The oxygen lance moving device (41) is located above the converter. The iron oxide adding device (42) is fixedly connected to the converter and is used to add iron oxide. The oxygen lance (43) is fixedly installed on the output end of the oxygen lance moving device (41).
6. The sonar slag detection system based on the Internet of Things according to claim 5, characterized in that, The control terminals of the oxygen lance moving device (41), the iron oxide dosing device (42), and the oxygen lance (43) are all electrically connected to the central processing module (1).
7. The sonar slag detection system based on the Internet of Things according to claim 6, characterized in that, The temperature control module (5) is a temperature controller, which is fixedly installed inside the converter. The temperature controller is electrically connected to the central processing module (1).
8. The sonar slag detection system based on the Internet of Things according to claim 7, characterized in that, The alarm module (6) includes a horn (61) and an indicator light (62). The horn (61) and the indicator light (62) are both fixedly installed on the outside of the converter. The horn (61) and the indicator light (62) are both electrically connected to the central processing module (1).