Energy-saving metallurgical smelting furnace based on intelligent control and using method thereof

Abstract

The invention belongs to the technical field of smelting furnaces, and discloses an energy-saving metallurgical smelting furnace based on intelligent control and a using method thereof, and the smelting furnace comprises a furnace body, a furnace lining, a top cover and a monitoring mechanism; a furnace lining is arranged on the inner side of the furnace body; a top cover is detachably arranged on the furnace body; a plurality of hydraulic rods are fixedly arranged on the top plate; the lower ends of the hydraulic movable rods are fixedly connected with the top cover; a combustor is fixedly arranged on one side of the furnace body; a combustion improver pipe and a combustion agent pipe are arranged on the combustor; two annular pipes are fixedly arranged on the furnace body, and a plurality of connecting pipes are uniformly distributed on the annular pipes; a plurality of burners are arranged on the inner wall of the furnace lining; and a monitoring mechanism is arranged on the furnace body. Key parameters such as temperature and energy consumption in the smelting process are monitored in real time through the intelligent system, energy input and smelting requirements are dynamically matched, and energy waste is avoided; the production efficiency is improved; the product quality is stabilized; the intelligent system can monitor the running state of equipment in real time, reduce the risk of safety accidents and guarantee the safety of personnel and equipment.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of smelting furnaces, more particularly to an energy-saving metallurgical smelting furnace based on intelligent control and a use method thereof. BACKGROUND

[0002] The metallurgical smelting furnace is a device for melting metal ores or waste materials in the metallurgical industry, commonly used in the production of metals such as steel, aluminum, copper, zinc, etc., and its main function is to convert solid metal ores or waste materials into liquid metal through heating and chemical reactions, facilitating subsequent refining, casting and other processes.

[0003] The document with the prior art publication number CN120506805A provides an environmentally friendly and energy-saving smelting furnace for metallurgy, which includes a smelting table and a flue, the inner wall of the smelting table is fixedly installed with a smelting barrel, the top of the smelting table is fixedly installed with a fixed frame, the surface of the smelting barrel is provided with an energy-saving device for recycling waste gas generated by the equipment and achieving energy saving, the energy-saving device includes a motor one, the motor one is fixedly installed on the surface of the smelting barrel, the output end of the motor one is fixedly installed with a turntable one, the inner wall of the smelting barrel is rotatably installed with a turntable two, the surface of the turntable two is fixedly penetrated with a rotating shaft, and the surface of the fixed frame is fixedly installed with a motor two. Through the above technical solution, the technical problem that in the prior art, heat may be conducted to the outside through the inner wall when the internal materials of the equipment are smelted, thereby affecting the energy consumption of the equipment, is solved.

[0004] Although the prior art solution in the above can achieve the relevant beneficial effects through the structure of the prior art, it still has the following defects: 1. Low energy utilization efficiency: the prior art lacks an intelligent dynamic control mechanism, and cannot match energy input with smelting demand in real time, often resulting in energy waste due to excessive energy supply or insufficient energy supply, high unit product energy consumption, and non-compliance with energy saving requirements. 2. The smelting parameters are adjusted by manual operation, which has response lag and operation errors, resulting in prolonged smelting period, poor production continuity, and low unit time output. 3. The existing technology relies on manual inspection or single sensor alarm for monitoring of abnormal states of the equipment, which has the risk of misjudgment or omission, and the abnormal treatment is lagging, which may cause safety accidents and threaten the safety of personnel and equipment. 4. The existing technology relies on a single data source for smelting abnormality judgment, which is prone to misjudgment due to one-sided data, and lacks the ability to predict potential risks, so it can only be handled passively after the problem occurs, resulting in production interruption, increased waste products, or equipment damage.

[0005] In view of this, we propose an energy-saving metallurgical smelting furnace based on intelligent control and a use method thereof. SUMMARY

[0006] 1. Technical problem to be solved

[0007] The purpose of the present application is to provide an energy-saving metallurgical smelting furnace based on intelligent control and its use method, which solves the technical problems raised in the background art, realizes real-time monitoring of temperature, energy consumption and other key parameters in the smelting process through an intelligent system, dynamically matches energy input and smelting demand, avoids energy waste, greatly reduces the energy consumption per unit of product, improves production efficiency, stabilizes product quality, the intelligent system can monitor the equipment operating state in real time, timely trigger alarm or automatic shutdown, reduce the risk of safety accidents, and protect the safety of personnel and equipment.

[0008] 2. Technical solution

[0009] The technical solution of the present application provides an energy-saving metallurgical smelting furnace based on intelligent control, which comprises a furnace body, a furnace lining, a top cover, a top plate, a hydraulic rod, a burner and a monitoring mechanism.

[0010] The furnace lining is fixedly arranged on the inner side of the furnace body.

[0011] The top cover is detachably fixed on the furnace body.

[0012] The top plate is fixedly arranged on the furnace body through a plurality of support columns; a plurality of hydraulic rods are fixedly arranged on the top plate; the movable rods of the hydraulic rods are detachably connected with the top cover.

[0013] The burner is fixedly arranged on one side of the furnace body; the burner comprises a blower and a pressure gas pump.

[0014] The burner is provided with a combustion aid pipe and a combustion agent pipe; two annular pipes are fixedly arranged on the furnace body, and the two annular pipes are in communication with the combustion aid pipe and the combustion agent pipe respectively; a plurality of connecting pipes are uniformly arranged on the annular pipes.

[0015] A plurality of combustion nozzles are uniformly and fixedly arranged on the inner wall of the furnace lining, and the combustion nozzles are in communication with the corresponding two connecting pipes; the combustion nozzles are connected with the two annular pipes respectively, and simultaneously receive the combustion agent and the combustion aid.

[0016] The monitoring mechanism is fixedly arranged on the furnace body, and the monitoring mechanism monitors and adjusts the energy-saving metallurgical smelting process to timely find abnormal conditions.

[0017] As an optional solution of the present application, twenty groups of micro thermocouples are embedded in the inner side of the furnace lining to provide data support for heat loss early warning by real-time feedback of the temperature distribution of the furnace wall.

[0018] The furnace lining is a three-layer composite structure.

[0019] The inner layer is a nano zirconia coating, the slag erosion resistance is improved; the middle layer is a lightweight high-aluminum brick; the outer layer is a stainless steel sheet protection with aluminum silicate fiber felt.

[0020] As an optional solution of the present application, the burner integrates a variable frequency air blower and a screw type pressurizing air pump, and linkage control is realized through a PLC control module.

[0021] Combustion-supporting air pretreatment: the outlet of the air blower is connected in series with a waste heat exchanger;

[0022] Fuel pressurization: a pressure stabilizing valve is arranged at the outlet of the air pump, which is suitable for multiple fuel types such as natural gas and coke oven gas, and automatically switches control parameters through a fuel composition sensor.

[0023] Control logic: real-time correction of air-fuel ratio based on carbon monoxide CO concentration in the furnace.

[0024] The preferred model of the variable frequency air blower is TB125, with air pressure of 50 kPa and air volume of 15000 m 3 / h.

[0025] As an optional solution of the present application, the annular pipe, combustion-supporting agent pipe, combustion agent pipe and connecting pipe are all made of stainless steel material; each group of combustion nozzles corresponds to two connecting pipes (combustion-supporting agent / combustion agent), the combustion nozzles and the connecting pipes are welded with a forty-five degree inclined joint; an intelligent throttling valve is arranged in the middle section of the connecting pipe, which dynamically adjusts the flow rate through temperature feedback of the combustion nozzles; a vibration type density sensor is installed on the pipeline to monitor the purity of the fuel / combustion-supporting agent mixture in real time.

[0026] Further, the top cover is fixedly provided with a feeding pipe and an air outlet pipe, a detachable sealing plug is fixedly arranged at the upper end of the feeding pipe; the air outlet pipe is connected with a waste heat recovery system.

[0027] A discharge pipe is fixedly arranged at the lower end of the furnace body; a slag outlet pipe is fixedly arranged on the furnace body. The discharge pipe is made of high-density silicon nitride combined with silicon carbide ceramic pipe. A discharge control valve is arranged on the discharge pipe.

[0028] As an optional solution of the present application, a waste heat recovery system is arranged on the furnace body, which is connected with the air outlet pipe of the furnace body through a high-temperature-resistant flue with a diameter of forty centimeters, and an electric gate valve is arranged at the inlet of the flue, which can cut off the flue gas passage in an emergency state.

[0029] The system is sequentially arranged along the flue gas flow direction, including a first combustion-supporting air heat exchanger, a second steam generator and a third circulating water preheater, the three devices are connected in series, the flue gas temperature is gradually reduced from one thousand two hundred degrees to two hundred degrees or below, and finally discharged into a desulfurization and denitrification system through an induced draft fan.

[0030] As an optional solution of the present application, an electromagnetic stirring device is fixedly arranged outside the furnace body; the electromagnetic stirring device generates an alternating magnetic field through a furnace bottom annular electromagnetic coil, and applies a Lorentz force to the conductive liquid metal in the molten pool to realize convection stirring of the molten pool and improve the uniformity of components and temperature consistency. The electromagnetic stirring device comprises:

[0031] Ring-shaped electromagnetic coil: embedded in the furnace bottom lining bricks below 50mm, concentrically installed with the furnace body, forming a ring-shaped magnetic field.

[0032] Protective shell: the coil is sleeved with a stainless steel protective shell, the shell is filled with magnesium oxide powder, forming a composite protection of conductor-insulation layer-magnesium oxide-stainless steel to isolate the high temperature radiation of the furnace bottom.

[0033] Adjustable frequency power supply system: select medium frequency variable frequency power supply, the output frequency is continuously adjustable. The stirring force is realized by adjusting the current.

[0034] Cooling system: including forced water cooling structure and connecting waterway;

[0035] Temperature monitoring unit: three groups of Pt100 temperature sensors are embedded in the coil to monitor the winding temperature in real time;

[0036] Flow state monitoring unit: two groups of ultrasonic Doppler flowmeters are symmetrically installed on the inner wall of the furnace lining to collect flow velocity distribution data at different depths of the molten pool in real time.

[0037] Intelligent adjustment unit: according to the flow velocity and temperature data, the power frequency and current are dynamically adjusted through PID algorithm;

[0038] Through the above technical scheme, through the combination of strong magnetic field+intelligent adjustment+high efficiency cooling, the stirring demand of metallurgical molten pool is perfectly matched, and the intelligent control system of the furnace body forms a closed loop, which provides core guarantee for high-quality metal smelting.

[0039] As an optional scheme of the present application, the monitoring mechanism comprises:

[0040] Data collection module: collect metallurgical smelting furnace data and various smelting metal data, label the data as reference samples;

[0041] Hyperspectral sensor: three groups of hyperspectral sensors are embedded in the center of the furnace cover and arranged in an equilateral triangle; the lens faces the surface of the molten pool, and a sapphire protective window is installed in front of the lens; the four-core armored optical fiber is connected to the external analysis host.

[0042] Infrared spectrum sensor: select model IRS-800, temperature measurement range 500-2000℃, accuracy ±5℃;

[0043] Visible light high-speed camera: equipped with temperature-resistant quartz lens; the lens extends into the furnace through a water-cooled protective sleeve, avoiding the direct sunlight area.

[0044] The sensor is sleeved with a water-cooled protective sleeve and connected to the external analysis host through an optical fiber.

[0045] Pressure sensor: real-time monitoring of internal pressure of the furnace body;

[0046] Temperature sensor: real-time monitoring of the temperature in the furnace body; sixteen groups of K-type thermocouples are arranged along the circumference of the furnace lining on the inside of the furnace wall. Two groups of S-type thermocouples are arranged in the molten pool and inserted into the molten pool through a silicon nitride protective sleeve to provide real-time feedback of the metal liquid temperature.

[0047] Gas analyzer: infrared gas analyzer is arranged at the inlet of the flue; the sampling probe is provided with a ceramic filter, and the data is linked with the adjustment of the air-fuel ratio of the burner.

[0048] Alarm module: including an alarm, when an abnormal situation is monitored, the alarm is timely sent;

[0049] Image analysis module: the images collected by the visible light high-speed camera are analyzed and recognized, and abnormal situations are timely recognized;

[0050] Data analysis module: the data collected by each sensor are analyzed, including the monitoring data of the hyperspectral sensor, infrared spectrum sensor, pressure sensor, temperature sensor and gas analyzer, and abnormal situations are timely found;

[0051] Comprehensive analysis module: the analysis results of the image analysis module and the data of each sensor are combined for comprehensive analysis, and potential risks are predicted.

[0052] PLC control module: network connection with the data collection module, hyperspectral sensor, infrared spectrum sensor, visible light high-speed camera, pressure sensor, alarm module, image analysis module, comprehensive analysis module, temperature sensor and gas analyzer.

[0053] The application provides a kind of energy-saving metallurgical smelting furnace use method based on intelligent control, comprising the following steps:

[0054] 1, charging: according to target alloy grade, prepare corresponding raw materials; start hydraulic rod to lift the top cover, add raw materials to the furnace lining through the feeding pipe, close the sealing plug after feeding; lower the top cover and lock it through the pneumatic lock to ensure sealing.

[0055] 2, temperature rising stage control:

[0056] 2.1, combustion start: start the burner through the PLC control module, set the combustion supporting agent / burner flow based on the characteristics of raw materials, the burner supplies gas to the combustion nozzle through the combustion supporting agent pipe, the burner pipe and the annular pipe, ignites and heats up; the gas analyzer monitors the CO and NOx concentration of the flue in real time, and adjusts the air-fuel ratio.

[0057] 2.2, intelligent stirring control: start the electromagnetic stirring device and run according to the temperature rising stage parameters;

[0058] 2.3, waste heat recovery linkage: flue gas enters the waste heat recovery system through the gas outlet pipe:

[0059] 3. Holding and smelting control:

[0060] 3.1 Temperature and composition control: When the temperature in the furnace reaches the target holding value, the PLC control module adjusts the burner power to stabilize the temperature; the hyperspectral sensor analyzes the composition of the molten pool in real time and compares it with the standard spectrum, combined with the S-type thermocouple data, to ensure uniform composition.

[0061] 3.2 Stirring parameter adjustment: The electromagnetic stirring switches to the holding stage parameters; including current adjustment and frequency adjustment;

[0062] 4. The inside of the furnace lining is monitored by the hyperspectral sensor, infrared spectrum sensor, visible light high-speed camera, pressure sensor, temperature sensor, and gas analyzer, which collects data and images in real time;

[0063] 5. The image analysis module analyzes the collected images to identify molten pool splashing, slagging and other abnormalities;

[0064] 6. The data analysis module analyzes the data collected by each sensor to detect abnormal conditions in a timely manner;

[0065] 7. Comprehensive analysis module: The analysis results of the image analysis module and the data of each sensor are combined for comprehensive analysis and prediction of potential risks.

[0066] 8. When an abnormal condition is detected, the alarm module sends an alarm in a timely manner;

[0067] 9. Cooling and discharge:

[0068] 9.1 Cooling control: Reduce the power of the burner and gradually cool down; the electromagnetic stirring switches to the cooling stage parameters;

[0069] 9.2 Continuous operation of waste heat recovery: As the flue gas temperature decreases with the furnace temperature, the three-stage preheater continuously recovers waste heat, the circulating water is used for equipment cooling, and steam is supplied to the workshop as needed.

[0070] 9.3 Discharge and slag cleaning: When the temperature in the furnace decreases to the set value, open the zirconia ceramic gate valve of the discharge pipe to discharge the molten metal; clean the slag through the slag discharge pipe and check the condition of the furnace lining.

[0071] 10. Shutdown: Turn off the burner and cut off the supply of combustion-supporting agent / burner; stop the electromagnetic stirring device, turn off the adjustable frequency power supply, ensure that the water cooling system continues to operate for thirty minutes to cool the coil; close the waste heat recovery system flue gate valve and stop the induced draft fan.

[0072] 3. Beneficial effects

[0073] One or more technical solutions provided in the technical scheme of the present application have at least the following technical effects or advantages:

[0074] 1、The application significantly improves energy saving effect: through intelligent system real-time monitoring of temperature, energy consumption and other key parameters in smelting process, dynamic matching of energy input and smelting demand, avoiding energy waste, greatly reducing energy consumption per unit product.

[0075] 2、Improve production efficiency: realize automatic regulation and control of smelting process, reduce the hysteresis and error of manual operation, shorten the smelting period, improve the output per unit time, and enhance the production continuity.

[0076] 3、Stable product quality: precise control of smelting temperature, time, raw material ratio and other core parameters, reduce the quality difference caused by manual operation fluctuation, improve product pass rate and consistency.

[0077] 4、Enhance operation safety: intelligent system can real-time monitor equipment running state (such as abnormal temperature, pressure, leakage, etc.), timely trigger alarm or automatic shutdown, reduce safety accident risk, protect personnel and equipment safety.

[0078] 5、Improve process adaptability: intelligent system can automatically adjust smelting parameters according to different raw material characteristics and product specifications, flexibly adapt to various production needs, improve the versatility and utilization rate of equipment.

[0079] 6、Comprehensive analysis module realizes cross verification of abnormal conditions by combining image analysis results and multi-sensor data (temperature, pressure, gas concentration, electromagnetic stirring parameters, etc.), can also predict potential risks and take remedial measures in advance. BRIEF DESCRIPTION OF DRAWINGS

[0080] Figure 1 The overall schematic diagram of the energy-saving metallurgical smelting furnace based on intelligent control disclosed in a preferred embodiment of the application.

[0082] Reference signs: 1, furnace body; 2, furnace lining; 3, top cover; 4, top plate; 5, hydraulic rod; 6, burner; 7, annular pipe; 8, combustion aid pipe; 9, combustion agent pipe; 10, connecting pipe; 11, combustion nozzle; 12, feeding pipe; 13, sealing plug; 14, exhaust pipe; 15, slag discharge pipe; 16, discharge pipe. DETAILED DESCRIPTION

[0083] The application will be further described in detail in combination with the drawings of the specification.

[0084] Reference Figure 1 The embodiment of the application provides an energy-saving metallurgical smelting furnace based on intelligent control, which comprises a furnace body 1, a furnace lining 2, a top cover 3, a top plate 4, a hydraulic rod 5, a burner 6 and a monitoring mechanism.

[0085] A furnace lining 2 is fixedly arranged inside the furnace body 1; the furnace body 1 is welded by Q345R low alloy steel plate, and the furnace lining 2 is fixed to the inner wall of the furnace body 1 through an anchor;

[0086] A top cover 3 is detachably fixed on the furnace body 1; the top cover 3 can be sealingly matched with the furnace body 1 and the furnace lining 2. The top cover 3 is made of a fifteen-millimeter-thick 316L stainless steel plate, a high-temperature-resistant annular flange is welded at the bottom of the top cover 3, and the high-temperature-resistant annular flange is matched with a concave sealing groove of the furnace body 1. The top cover 3 is internally provided with double sealing members: a main sealing member is an inflatable fluororubber sealing ring, the sealing pressure is monitored in real time through a pressure sensor, and the sealing ring is automatically inflated when the deviation is greater than ±0.02 MPa; and an auxiliary sealing member is a metal bellows (material: Inconel 625), which compensates for the slight deformation of the top cover 3 due to temperature difference.

[0087] Detachable connection: the top cover 3 and the furnace body 1 are connected through eight groups of pneumatic locks (quick fixing, unlocking time < 30 seconds, suitable for quick maintenance requirements.

[0088] A top plate 4 is fixedly arranged on the furnace body 1 through a plurality of support columns; a plurality of hydraulic rods 5 are fixedly arranged on the top plate 4; and the movable rods of the hydraulic rods 5 are detachably connected with the top cover 3.

[0089] The top plate 4 is a box-shaped steel structure, which is rigidly connected with the furnace body 1 through a plurality of support columns, and a shock-absorbing pad (a rubber and steel plate composite structure) is arranged at the bottom of the column to reduce lifting impact.

[0090] The hydraulic rod 5 is a four-group double-acting oil cylinder, which is internally provided with a magnetostrictive displacement sensor and is synchronously controlled through an electro-hydraulic servo valve group; the lifting speed is step-adjustable; the oil circuit is provided with a bidirectional hydraulic lock (locking force ≥1.5 times the rated load when pressure loss occurs), and an overload sensor is arranged at the top to stop the machine in an emergency when the limit is exceeded.

[0091] A burner 6 is fixedly arranged on one side of the furnace body 1; the burner 6 comprises a blower and a pressurized gas pump;

[0092] The burner 6 is provided with a combustion-supporting agent pipe 8 and a combustion agent pipe 9; two annular pipes 7 are fixedly arranged on the furnace body 1, and the two annular pipes 7 are respectively communicated with the combustion-supporting agent pipe 8 and the combustion agent pipe 9; a plurality of connecting pipes 10 are uniformly arranged on the annular pipes 7;

[0093] A plurality of combustion nozzles 11 are uniformly fixedly arranged on the inner wall of the furnace lining 2, and the combustion nozzles 11 are communicated with the corresponding two connecting pipes 10; so that the combustion nozzles 11 respectively receive the combustion agent and the combustion-supporting agent from the two annular pipes 7;

[0094] A monitoring mechanism is fixedly arranged on the furnace body 1, which monitors and adjusts the energy-saving metallurgical smelting process and timely discovers abnormal conditions.

[0095] Further, twenty groups of micro-thermocouples (temperature measurement range 0-1800℃) are embedded in the inner side of the furnace lining 2 to provide real-time feedback on the temperature distribution of the furnace wall and provide data support for heat loss early warning. When the local temperature exceeds the set value by 10%, a maintenance prompt for the heat insulation layer is triggered.

[0096] The furnace lining 2 is a three-layer composite structure:

[0097] The inner layer is a nano-zirconia coating with a thickness of six millimeters, a temperature resistance of 2200℃, and an improved slag erosion resistance;

[0098] The middle layer is a lightweight high-aluminum brick with a thickness of thirty centimeters and a compressive strength of 35MPa at room temperature;

[0099] The outer layer is a ten-centimeter-thick aluminum silicate fiber felt plus a one-millimeter-thick stainless steel sheet for protection. The nano-zirconia coating has extremely high high-temperature resistance and erosion resistance, and can directly withstand molten liquid erosion and high-temperature oxidation. The lightweight high-aluminum brick on the outside serves as a support and insulation layer, taking advantage of its low thermal conductivity to reduce heat transfer to the furnace shell, while providing structural support for the nano-zirconia coating. The two work together to achieve the composite functions of erosion resistance and efficient insulation. The outer layer of aluminum silicate fiber felt is wrapped around the lightweight high-aluminum brick to further enhance the overall insulation effect.

[0100] Further, the burner 6 is integrated with a variable frequency air blower and a screw type pressure air pump, and the linkage control is realized through a PLC control module:

[0101] Combustion air pretreatment: the outlet of the air blower is connected in series with a waste heat exchanger (which uses the waste heat from the flue gas to heat the air from 25℃ to 600℃, with an energy saving rate of 15%);

[0102] Fuel pressurization: a pressure stabilizing valve is provided at the outlet of the air pump to adapt to multiple fuel types such as natural gas and coke oven gas, and automatically switch control parameters through fuel composition sensors.

[0103] The control logic is: based on the real-time correction of the air-fuel ratio according to the carbon monoxide CO concentration in the furnace; when CO > 500ppm, automatically increase the combustion air volume by 3%-5%, to ensure that the combustion efficiency is ≥95%. The carbon monoxide CO concentration is detected by an infrared analyzer.

[0104] The preferred model of the variable frequency air blower is TB125, with an air pressure of 50kPa and an air volume of 15000m 3 / h variable frequency air blower.

[0105] Further, the annular pipe 7, the combustion aid pipe 8, the combustion agent pipe 9 and the connecting pipe 10 are all made of stainless steel material; each group of combustion nozzles 11 corresponds to two connecting pipes 10 (combustion aid / combustion agent), and the combustion nozzles 11 and the connecting pipes 10 are welded at a forty-five-degree angle to reduce the local resistance coefficient;

[0106] Intelligent throttle valve is arranged in the middle of the connecting pipe 10, and the flow is dynamically adjusted through the temperature feedback of the combustion nozzle 11, for example, when the temperature of a certain area is low, the flow of the corresponding branch pipe is increased; vibration type density sensor is installed on the pipeline to monitor the purity of the fuel / comburent mixture in real time before mixing.

[0107] The combustion nozzle 11 adopts a cyclone-venturi composite mixing chamber, fuel enters from the tangent direction, and the combustion agent is injected from the axial direction at high speed, so that the mixing is quickly completed, and the flame length can be adjusted through the cyclone intensity. Six combustion nozzles 11 are uniformly distributed along the inner wall of the furnace lining 2 at an angle of sixty degrees, and the inclination angle is thirty degrees, and are directed to the center of the molten pool at a distance of fifty centimeters above, so that a spiral flame flow field is formed, and the electromagnetic stirring device of the furnace bottom is matched, so that the temperature difference in the furnace is controlled within ± 25 DEG C.

[0108] Further, the top cover 3 is fixedly provided with a feeding pipe 12 and an exhaust pipe 14, and the upper end of the feeding pipe 12 is detachably fixedly provided with a sealing plug 13; the exhaust pipe 14 is connected with a waste heat recovery system.

[0109] The furnace body 1 is fixedly provided with a discharge pipe 16 at the lower end; and the furnace body 1 is fixedly provided with a slag outlet pipe 15.

[0110] The feeding pipe 12 is made of 310S stainless steel material and is vertically welded at the edge of the top cover 3 deviated from the center. The feeding pipe 12 is embedded with ten millimeter thick high alumina refractory castable in the pipe to prevent overheating of the outer wall of the pipe caused by high temperature radiation; the lower end outlet is provided with a forty-five degree flow guide bevel, which is directed to the edge of the molten pool in the furnace to reduce the impact on the surface of the molten pool when the raw materials are put in.

[0111] The sealing plug 13 adopts a double-cone metal seal + pneumatic driving structure, the plug body is made of forged steel material, preferably 42CrMo, the surface is hardfaced with hard alloy, and the cone angle is thirty degrees, which forms a linear seal with the cone seal seat of the feeding pipe 12. The sealing plug 13 adopts a detachable fixing mode, and is quickly disassembled and assembled through flange connection; the top of the sealing plug 13 is provided with a circular flange, which is connected with the upper end flange of the feeding pipe 12 through eight groups of high-strength bolts, and high-temperature-resistant asbestos rubber gaskets are clamped between the flanges. The sealing plug 13 is provided with a built-in displacement sensor which is linked with the external automatic feeding system.

[0112] The pipe body of the exhaust pipe 14 is made of 310S stainless steel material, and the lower end of the exhaust pipe 14 is welded with the top cover 3, and the upper end is connected with the flue of the waste heat recovery system through a rotary joint.

[0113] The lower end inlet of the exhaust pipe 14 is provided with a horn-shaped gas collecting cover, and a high-temperature-resistant filter screen is arranged in the cover opening to intercept large particles of molten slag; three spiral guide vanes are arranged in the pipe along the airflow direction to guide the spiral upward of the flue gas and enhance the heat exchange efficiency. The rotary joint adopts a double-spherical mechanical seal structure. The rotary joint outlet is connected with a high-temperature-resistant hose, and the other end of the hose is connected with the inlet flue of the waste heat recovery system through a flange, and a metal bellows compensator is arranged between the flanges to absorb the vibration and thermal expansion of the equipment.

[0114] The exhaust pipe 16 is arranged along the central axis of the bottom of the furnace body 1.

[0115] The exhaust pipe 16 is made of high-density silicon nitride combined with silicon carbide ceramic pipe.

[0116] The exhaust pipe 16 is provided with an exhaust control valve, which is a zirconia ceramic gate valve. The contact surface between the valve core and the valve seat is ground by diamond, and can achieve zero leakage stop at 1,600 degrees.

[0117] The lower end of the exhaust control valve is provided with a rear transition pipe, which adopts a molybdenum alloy (TZM) cladding structure. The inner layer is a pure molybdenum pipe, which can resist aluminum liquid corrosion. The outer layer is a 310S stainless steel protective shell, and the space between the two is filled with zirconia fiber felt.

[0118] Further, the furnace body 1 is provided with a waste heat recovery system. The waste heat recovery system is connected to the exhaust pipe of the furnace body 1 through a high-temperature resistant flue with a diameter of 40 cm (made of 310S stainless steel with a wall thickness of 8 mm). The flue inlet is provided with an electric gate valve (DN400, opening and closing time less than 5 seconds), which can cut off the flue gas passage in emergency state.

[0119] The system is arranged in sequence along the flue gas flow direction, including a first combustion-supporting air heat exchanger, a second steam generator and a third circulating water preheater. The three devices are connected in series, and the flue gas temperature gradually decreases from 1,200 degrees to below 200 degrees. Finally, the flue gas is discharged into the desulfurization and denitrification system through the induced draft fan.

[0120] The structure of the first combustion-supporting air heat exchanger is as follows: a horizontal tube heat exchanger, the outer shell is welded by Q345R steel plate, the internal tube bundle is 310S stainless steel pipe with a diameter of 51 mm and a thickness of 4 mm, and the total heat exchange area is 80 square meters. Baffles are arranged between the tube bundles for guidance. The working process is as follows:

[0121] Cold side: The normal temperature air sent by the air blower enters from the bottom of the heat exchanger, is guided by the baffles between the tube bundles, exchanges heat with the high-temperature flue gas in the tube, and is heated to 600 degrees before being sent to the combustion-supporting agent pipe 8 of the burner 6 from the top outlet;

[0122] Hot side: The 1,200-degree flue gas flows through the inside of the tube bundle, and the temperature decreases to 800 degrees after heat exchange, and then enters the second steam generator.

[0123] The surface of the tube bundle is sprayed with a 0.1mm ceramic coating to reduce the erosion and wear of the tube wall by high-temperature flue gas. The ceramic coating is made of ceramic composite material mainly composed of aluminum oxide and zirconium oxide. Adjustable guide vanes are arranged at the inlet, and the angle of the vanes is dynamically adjusted by the PLC control module according to the flue gas temperature to change the flue gas flow cross section, so as to avoid overheating of the heat exchanger and automatically close when the wall temperature is greater than 900 degrees.

[0124] The secondary steam generator is a vertical water-fire tube boiler, which is composed of an upper drum, a lower drum and a boiler tube. The total heat exchange area is 120 square meters. The furnace adopts a membrane wall structure to reduce heat loss.

[0125] Workflow: Soft water is pumped into the lower drum by the feed water pump, enters the tube bundle through the downcomer, and is heated to boiling by the 800-degree smoke outside the tube to generate 170-degree saturated steam, which is collected in the upper drum.

[0126] After the steam passes through the steam-water separator, part of it enters the 150-kilowatt steam turbine (model N1.5-1.0, rotating speed 3000 rpm) to drive the generator, and the other part is used as standby steam (reduced to 0.4 MPa by the pressure reducing valve) for heating in the workshop. The temperature of the smoke after heat exchange is reduced to 400℃, and it enters the third circulating water preheater.

[0127] The upper drum is equipped with a spring safety valve, a water level meter and a pressure transmitter. The bottom is equipped with a periodic blowdown valve and a continuous blowdown valve.

[0128] The structure of the third circulating water preheater is a plate heat exchanger, which uses 304 stainless steel corrugated plates with a heat exchange area of 50 square meters.

[0129] Workflow:

[0130] Cold side: The circulating water from the cooling tower flows into the plate from one side, and after heat exchange with the 400-degree smoke on the other side, the temperature rises to 80 degrees, and it is sent to the cooling water path of furnace body 1 (hydraulic rod 5, combustion nozzle 11 cooling jacket, etc.) through the outlet pipeline.

[0131] Hot side: The temperature of the smoke after heat exchange is reduced to 180 degrees, and it is pumped to the subsequent purification system by the induced draft fan.

[0132] An electromagnetic flowmeter and a thermometer are installed in the inlet pipeline to monitor the circulating water flow and temperature in real time.

[0133] When the waste heat recovery efficiency is lower than the threshold value, the PLC control module automatically adjusts the circulating water flow to increase the heat exchange capacity and improve the efficiency. If the flow has reached the upper limit, the guide vane adjustment of the first heat exchanger is triggered to ensure that the system energy saving rate is stable at 35%.

[0134] An acoustic soot blower is installed in the steam generator outlet flue to automatically clean the soot every two hours to prevent the heat exchange efficiency from being reduced due to soot accumulation in the tube bundle.

[0135] The linkage logic of the waste heat recovery system and emergency protection is as follows:

[0136] When furnace body 1 triggers an emergency response (pressure > 100 Pa or temperature > 1800℃):

[0137] (1) The flue inlet electrically operated gate valve is immediately closed to cut off the high-temperature flue gas, and the bypass flue is opened to directly discharge the flue gas in the furnace into the emergency chimney;

[0138] (2) The steam generator is immediately shut down: the main steam valve is closed, the vent valve is opened to release the steam pressure, and the feed water pump is switched to minimum flow circulation;

[0139] (3) The circulating water preheater is switched to emergency cooling to accelerate the cooling of the furnace body and ensure that the furnace temperature is reduced to below 1,000 degrees within 10 minutes.

[0140] In this technical solution, the waste heat recovery system maximizes the use of flue gas waste heat through staged heat exchange and intelligent control, while having a perfect emergency protection mechanism.

[0141] Further, an electromagnetic stirring device is fixedly arranged outside the furnace body 1; the electromagnetic stirring device generates an alternating magnetic field through a ring-shaped electromagnetic coil at the bottom of the furnace to exert a Lorentz force on the electrically conductive liquid metal (such as molten steel or aluminum alloy) in the molten pool, thereby realizing convection stirring of the molten pool and improving the uniformity of the composition and the temperature consistency. The electromagnetic stirring device comprises:

[0142] The ring-shaped electromagnetic coil is embedded 50 mm below the lining bricks at the bottom of the furnace and is concentrically installed with the furnace body to form a ring-shaped magnetic field (adapted to the diameter of the furnace body), and the outer edge of the coil is more than 30 cm away from the side wall of the furnace body to avoid the edge effect of the magnetic field. The ring-shaped electromagnetic coil is made of oxygen-free copper flat wire, and the surface is coated with a 0.2 mm polyimide film and a glass fiber insulation layer to ensure that the insulation resistance is greater than 100 megohms in a 150-degree working environment. The winding is designed as a single-layer dense winding structure with a total number of turns of 60 to 80 turns (adjusted according to the tonnage of the furnace body), an inter-turn spacing of 5 mm, and a high-temperature resistant insulation glue filled to enhance heat dissipation and structural strength. The ring-shaped electromagnetic coil is supported by a framework, and the inner coil is fixed on the ring-shaped silicon steel sheet framework to reduce magnetic hysteresis loss.

[0143] Protective shell: the coil is sleeved with a stainless steel protective shell (316L stainless steel material, wall thickness 8 mm), and the shell is filled with magnesium oxide powder to form a composite protection of conductor-insulation layer-magnesium oxide-stainless steel to isolate the high-temperature radiation at the bottom of the furnace.

[0144] Adjustable frequency power supply system: a medium frequency variable frequency power supply is selected, the output frequency is continuously adjustable, the rated power is 100-200kW, the output voltage is 380-660V, and the current is 50-300A (adjusted according to needs). It can realize continuous adjustment of stirring force 0-100kN. Adopting AC-DC-AC frequency conversion circuit, harmonic filter is arranged on the input side, and matching reactor is arranged on the output side to reduce power grid interference and coil inductive impact. The stirring force is graded by adjusting the current.

[0145] Cooling system: including forced water cooling structure and connecting waterway;

[0146] Forced water cooling structure: annular water cooling jacket is arranged between the stainless steel protective shell and the silicon steel sheet framework, pure copper pipe is coiled, desalted water is passed in, and the coil heat is taken away through convection heat exchange.

[0147] Connection waterway: the water inlet of the water cooling jacket is connected with the low temperature section of the circulating water system, and the water outlet is connected with the third stage preheater of the waste heat recovery system, so as to realize secondary utilization of heat.

[0148] Temperature monitoring unit: three groups of Pt100 temperature sensors are embedded in the coil to monitor the winding temperature in real time; when the temperature is greater than 120 degrees, the PLC automatically reduces the power of the power supply and alarms, and if the temperature continues to rise to 150 degrees, the emergency stop is performed.

[0149] Flow state monitoring unit: two groups of ultrasonic Doppler flowmeters are symmetrically installed on the inner wall of the furnace lining 2, which are inserted into the molten pool at an angle of ten centimeters, and the flow velocity distribution data at different depths of the molten pool are collected in real time.

[0150] Intelligent adjustment unit: according to the flow velocity and temperature data, the power frequency and current are dynamically adjusted through PID algorithm; the PID algorithm current dynamic adjustment model is:

[0151] I(t) = I 0,s +k i,s △v(t) + m I,s max[△T(t) - △T allow,s , 0];

[0152] △v(t) = v 目标，s -v 实测 (t); In the formula, I(t) is the output current at time t; directly determines the magnetic field strength generated by the annular coil and the Lorentz force, and is the core parameter for controlling the stirring intensity of the molten pool (the greater the current, the stronger the stirring force). s is a stage identifier, which distinguishes three key stages of smelting: s = 1: heating stage (metal is heated from solid to molten, which needs to be quickly and uniformly); s = 2: maintaining stage (metal maintains molten state, which needs to stabilize composition and temperature); s = 3: cooling stage (metal is cooled from molten to solid, which needs to suppress local supercooling). I 0,s is the reference current of the s stage (s = 1 heating: 50-200A; s = 2 maintaining: 100-150A; s = 3 cooling: 80-120A); k i,s is the flow velocity adjustment coefficient of the stage (s = 1: 50-80; s = 2: 30-50; s = 3: 20-40), the greater the flow velocity deviation, the more significant the current adjustment; △v(t) is the flow velocity deviation, which is the difference between the target flow velocity and the measured flow velocity; m I,sis the stage temperature difference adjustment coefficient (s=1: 0.5; s=2: 1.0; s=3: 0.3), only when the temperature difference is out of limit; ΔT(t) is the real-time temperature difference; that is, the difference between the highest temperature and the lowest temperature in the furnace (reflecting the temperature uniformity). ΔT allow,s is the stage allowed maximum temperature difference (80-100℃ for heating, 30-50℃ for holding, 60-80℃ for cooling). 目标，s is the target flow rate of the s stage, the ideal flow speed of the metal in the molten pool;v 实测 (t) is the measured flow rate at time t (unit: m / s), which is collected in real time by an ultrasonic Doppler flowmeter. max is the maximum value function.

[0153] The frequency dynamic adjustment model of the PID algorithm is:

[0154] f(t) = f 0,s + k f,s [UR 目标,s - UR(t)] + n f,s[△v ud (t) / v - (t)]; In the formula, f(t) is the actual output frequency of the electromagnetic stirring device at time t (unit: Hz, hertz). Meaning: determines the rate of change of the alternating magnetic field, directly affects the distribution of eddy current in the molten pool; high-frequency magnetic field penetrates shallow (stirring concentrates on the surface of the molten pool), low-frequency magnetic field penetrates deep (stirring is more uniform, can act on the bottom of the molten pool). s is the stage identifier (unitless); f 0,s is the reference frequency of the s stage, which is the basic frequency when there is no deviation in this stage (to ensure the basic magnetic field penetration characteristics). Heating stage: f 0,s = 200-300, medium-high frequency, focusing on surface and internal heat exchange, accelerating heating; holding stage: f 0,s = 100-200, medium frequency, balancing penetration depth and uniformity, avoiding component segregation; cooling stage: f 0,s = 50-100, low frequency, enhancing stirring at the bottom of the molten pool, preventing premature solidification at the bottom. k f,s is the uniformity adjustment coefficient of the s stage, which is used to convert the "uniformity deviation" into the frequency adjustment amount (the larger the coefficient, the more significant the frequency adjustment when the uniformity deteriorates). UR 目标,s is the target flow uniformity index of the s stage (unitless, range 0-1), the closer the value to 1, the more uniform the metal flow in the molten pool (the smaller the flow rate distribution difference).

[0155] UR(t) is the real-time flow uniformity index at time t (unitless, range 0-1), which is calculated from "different position flow rate data" collected by two groups of ultrasonic Doppler flowmeters; n f,sis the flow rate difference adjustment coefficient of the s stage, which is used to convert the "upper and lower layer flow rate difference" into the frequency adjustment amount (the larger the coefficient, the more significant the impact of the flow rate difference on the frequency).△v ud (t) is the flow rate difference between the upper and lower layers of the molten pool at time t (unit: m / s), that is, the difference between the flow rates of the upper and lower layers (measured by two groups of flow rate meters at different depths). The larger the difference, the less the stirring penetration depth (the flow rate at the bottom is too slow), and the frequency needs to be adjusted (such as reducing the frequency to enhance the penetration and reduce the difference between the upper and lower layers).v - (t) is the average flow rate of the molten pool at time t, that is, the arithmetic mean of the upper and lower layer flow rates.

[0156] When the flow rate is less than 0.3 m / s and the temperature difference is greater than fifty degrees: automatically increase the current by 20%-30%, while increasing the frequency to increase the stirring intensity;

[0157] When the flow rate is greater than 0.8 m / s or the surface appears vortex: reduce the current by 10%-20%, reduce the frequency, and reduce the stirring intensity.

[0158] In this technical solution, through the combination of strong magnetic field + intelligent adjustment + efficient cooling, the stirring needs of the metallurgical molten pool are perfectly matched, and the intelligent control system of the furnace body forms a closed loop, providing a core guarantee for high-quality metal smelting.

[0159] Further, the monitoring mechanism comprises:

[0160] Data collection module: collect metallurgical smelting furnace data and various data required for smelting metal, label the data as reference samples; the data collection range includes real-time running data and metal characteristic data; real-time running data covers dynamic parameters such as furnace temperature, pressure, flow (combustion agent / combustion-supporting agent / circulating water), electromagnetic stirring parameters (current / frequency), etc., which are accessed through industrial bus data acquisition card. Metal characteristic data includes raw material composition, target alloy grade, smelting process parameters (such as holding temperature, stirring time) and other static data.

[0161] Hyperspectral sensor: three groups of hyperspectral sensors are embedded in the center of the furnace cover in an equilateral triangle distribution; the lens faces the surface of the molten pool, and a sapphire protection window is installed in front of the lens; it is connected to the external analysis host through four-core armored optical fiber.

[0162] Infrared spectrum sensor: model: IRS-800, temperature measurement range: 500-2000℃, accuracy: ±5℃;

[0163] Visible light high-speed camera: equipped with temperature-resistant quartz lens; the lens extends into the furnace through a water-cooled protective sleeve, avoiding the direct sunlight area, and the image is transmitted to the external storage server through HDMI optical fiber.

[0164] The sensor outer jacket water-cooled protective sleeve is connected to the furnace outside analysis host through an optical fiber. The water-cooled protective sleeve structure is: a double-layer 316L stainless steel sleeve pipe with a circulating water interlayer. The front end is sealed with a metal bellows, and the rear end is connected with the sensor through a flange. The overall protection level is IP65, which prevents dust and water mist.

[0165] Pressure sensor: real-time monitoring of the internal pressure of the furnace body 1;

[0166] Temperature sensor: real-time monitoring of the internal temperature of the furnace body 1; sixteen groups of K-type thermocouples are arranged along the circumference of the furnace lining 2 on the inside of the furnace wall. Two groups of S-type thermocouples (platinum rhodium 10-platinum, temperature resistant 1600℃) are inserted into the molten pool through a silicon nitride protective sleeve, which can real-time feedback the temperature of the molten metal.

[0167] Gas analyzer: infrared gas analyzer is installed at the inlet of the flue (monitoring CO, NOx concentration); the sampling probe is equipped with a ceramic filter, and the data is linked with the air-fuel ratio adjustment of the burner 6.

[0168] Alarm module: including alarm, when abnormal situation is monitored, timely alarm;

[0169] Image analysis module: analyzing and identifying the images collected by the visible light high-speed camera, and identifying abnormal situations in time; based on YOLOv8 deep learning model (training sample fifty thousand), identifying molten pool splashing, slagging, flame shape abnormality, etc.

[0170] Data analysis module: analyzing the data collected by each sensor, including the monitoring data of hyperspectral sensor, infrared spectrum sensor, pressure sensor, temperature sensor and gas analyzer, and discovering abnormal situations in time;

[0171] Comprehensive analysis module: combining the analysis results of the image analysis module and the data of each sensor, and making comprehensive analysis and predicting potential risks.

[0172] PLC control module: network connection with data collection module, hyperspectral sensor, infrared spectrum sensor, visible light high-speed camera, pressure sensor, alarm module, image analysis module, comprehensive analysis module, temperature sensor and gas analyzer.

[0173] Further, the image analysis module analyzes and identifies the images collected by the visible light high-speed camera, and identifies abnormal situations in time; including the following steps:

[0174] 1. Image acquisition: real-time image acquisition, capturing dynamic images of the molten pool surface (including molten pool flow, flame shape, furnace wall state, etc.);

[0175] 2. Image preprocessing: Preprocess the collected images, including denoising, contrast enhancement, region cropping, and format conversion.

[0176] Denoising: Use adaptive median filtering algorithm to remove salt and pepper noise and Gaussian noise in the image.

[0177] Contrast enhancement: Optimize the light and dark contrast of the image through the Retinex algorithm, highlight the key features such as the molten pool boundary and flame profile, and solve the problem of uneven light in the furnace.

[0178] Region cropping: Based on the pre-set ROI (Region of Interest), crop out the invalid areas such as the furnace wall edge and lens frame, and only keep the molten pool and flame core area.

[0179] Format conversion: Convert the preprocessed image to the input format compatible with the YOLOv8 model.

[0180] 3. YOLOv8 model loading: Load the pre-trained YOLOv8 model, which is trained based on fifty thousand labeled samples covering normal state, molten pool splashing, slagging, and flame shape abnormalities in different metal smelting scenarios. Set the model inference parameters, including confidence threshold, Intersection over Union (IoU) threshold, and inference device.

[0181] 4. Target detection and feature recognition: Input the preprocessed image into the YOLOv8 model, which extracts image features through the backbone network (CSPDarknet), fuses multi-scale features through the neck network (PAN-FPN), and finally outputs the target detection results through the detection head.

[0182] Anomaly type identification:

[0183] Molten pool splashing: Identify the sudden and high-intensity splashing area on the surface of the molten pool, characterized by irregular dynamic spots with an area greater than the pre-set threshold.

[0184] Slagging: Identify the solid attachments on the furnace wall or the edge of the molten pool, characterized by static areas with low gray value, irregular shape, and increasing area over time.

[0185] Flame shape abnormality: Identify the flame profile deviating from the pre-set standard shape, such as sudden contraction, bifurcation, or local extinction, and determine it through the contour matching algorithm.

[0186] 5. Result analysis: Including single-frame result verification and time sequence consistency verification.

[0187] Single-frame result verification: Calculate the confidence of the abnormal target output by the model, and if the confidence is greater than or equal to the pre-set threshold, mark it as a suspected anomaly.

[0188] Temporal consistency verification: combine the detection results of the last ten frames to determine whether the anomaly persists: if the same type of anomaly is detected for more than three consecutive frames, it is confirmed as a valid anomaly

[0189] If only a single frame appears and the confidence is less than 0.8, it is determined to be a false detection of interference.

[0190] 6、Abnormal result output: encapsulate the valid anomaly information (type, location coordinates, confidence, duration) into a standardized data format. Real-time push to the comprehensive analysis module, and fuse with hyperspectral, temperature and other sensor data to judge the severity of the anomaly.

[0191] Further, the data analysis module: analyzes the data collected by each sensor to timely detect abnormal conditions; including the following steps:

[0192] 1、Multi-source data reception: real-time reception of sensor data; including hyperspectral sensor, infrared spectrum sensor, pressure sensor temperature sensor box gas analyzer monitoring data. Align all data based on a unified timestamp to eliminate time deviation caused by different sensor acquisition delays.

[0193] 2、Data preprocessing:

[0194] 2.1、Hyperspectral data processing:

[0195] Remove dark current interference: remove dark current interference by collecting dark spectrum without light source, and perform baseline correction on the original spectrum curve;

[0196] Eliminate spectral drift: based on the reflectivity calibration of the standard white plate, correct the wavelength shift caused by temperature change;

[0197] Smooth noise reduction: use moving average filtering to retain spectral feature peaks (such as characteristic absorption peaks of metal oxides) while reducing high-frequency noise.

[0198] 2.2 Temperature and infrared data processing:

[0199] Thermocouple drift compensation: for K-type / S-type thermocouple data, correct the zero drift based on its calibration curve;

[0200] Outlier rejection: filter transient pulse interference such as temperature jump caused by electromagnetic interference by 3σ criterion;

[0201] Temperature field interpolation: use Kriging interpolation algorithm to generate a thermal map of the furnace temperature field distribution for the discrete temperature values of the sixteen K-type thermocouples.

[0202] 2.3、Pressure / gas data processing:

[0203] Pressure data smoothing: use exponential weighted moving average to filter high-frequency pressure fluctuations caused by gas flow in the furnace;

[0204] Gas concentration lag compensation: correct the time lag of gas analyzer data based on the length of the sampling pipeline and the gas flow rate, ensure that the concentration data matches the real-time combustion state.

[0205] 3. Feature extraction:

[0206] 3.1, Hyperspectral features: Extract characteristic wavelength reflectivity: such as the reflectivity value of metal oxide characteristic peak, reflecting the oxidation degree of the molten pool;

[0207] Calculate spectral similarity: compare the real-time spectral curve with the standard spectral library of the target alloy, and output the similarity value.

[0208] 3.2, Temperature / Infrared Features:

[0209] Temperature mean and gradient: Calculate the average temperature of the molten pool metal liquid and the standard deviation of the furnace wall temperature;

[0210] Temperature change rate: Calculate the temperature rise and fall rate within ten seconds, such as the metal liquid temperature rise rate greater than five degrees per second, marked as potential abnormality.

[0211] 3.3, Pressure / Gas Features:

[0212] Pressure fluctuation amplitude: Calculate the difference between the maximum and minimum pressure within one minute;

[0213] Gas concentration ratio: Calculate the deviation rate of CO concentration from the standard value when combustion is sufficient, and the ratio of NOx concentration to environmental standard value.

[0214] 4. Single sensor anomaly detection:

[0215] 4.1, Hyperspectral anomaly determination: When the characteristic wavelength reflectivity deviates from the standard value ±15%; the spectral similarity is less than 0.85, and the difference with the standard spectrum of the target alloy is too large, indicating abnormal composition.

[0216] 4.2, Temperature / Infrared Anomaly Determination:

[0217] Metal liquid temperature exceeds the process interval;

[0218] The standard deviation of the furnace wall temperature is greater than fifty degrees, the temperature field distribution is uneven, and there may be local overheating;

[0219] The temperature difference between the infrared sensor and the S-type thermocouple is greater than twenty degrees.

[0220] 4.3, Pressure anomaly determination:

[0221] The furnace pressure is greater than the set upper limit or less than the lower limit;

[0222] Pressure fluctuation amplitude greater than 1.0 kPa / min, pressure surge, possible gas leakage or unstable combustion.

[0223] 4.4, Gas anomaly determination:

[0224] CO concentration > 200 ppm (insufficient combustion, fuel waste) or < 50 ppm (excessive air-fuel ratio, increased energy consumption);

[0225] NOx concentration > 250 ppm (exceeding environmental limits).

[0226] 5, Multi-sensor correlation analysis:

[0227] 5.1, Feature correlation rule: If hyperspectral detection shows abnormal oxidation degree, and S-type thermocouple shows sudden rise in metal liquid temperature and gas analyzer CO degree drops, it is determined that the combustion is too strong, leading to excessive oxidation;

[0228] If the pressure sensor shows a sudden drop in pressure, and the infrared temperature measurement shows a sudden drop in local temperature, it is determined that there is potential gas leakage in the furnace body.

[0229] The multi-sensor correlation analysis model is:

[0230] Score = a s [Σ k j＝1 (w j δ BJ j )+Σ 1≤i≤j≤k (r ij δ i δ j )]τ(T);

[0231] Σ k j＝1 w j = 1; τ(t) = 1 + 0.1 min(T, 10); In the formula, Score is the comprehensive score of abnormal level, which is used to quantify the risk degree in the smelting process. The higher the score, the more serious the current system abnormality, the stronger the synergistic risk and cumulative effect, and the more urgent the measures to be taken. a s is the stage adaptation coefficient, s represents the smelting stage. According to the real-time stage of the smelting furnace (heating period / holding period / cooling period), the overall weight is dynamically adjusted to reflect the differences in core risks at different stages. For example: the heating period is more sensitive to temperature changes, a s takes a higher value of 1.2; the cooling period is relatively flat, a s takes a lower value of 0.8, and the holding period a s takes a value of 1.0. k is the total number of correlation indicators involved in the evaluation, representing the types of key parameters monitored by the system, such as temperature, pressure, CO concentration, spectral features, etc. w jis the base weight of indicator j, j = 1, 2, …, k, is the index of the indicator. δ j is the normalized deviation of indicator j, δ i is the normalized deviation of indicator i; the value range is [0, 1]. BJ is the non-linear factor of indicator j, which reflects the sensitive characteristics of indicator j to the deviation. The indicators sensitive to mutation (such as sudden pressure rise) have BJ > 1, which makes the score accelerate upward when the deviation increases; the indicators sensitive to slow change (such as the degree of slagging) have BJ < 1, which makes the score gently increase with the increase of the deviation. The index of i and j (i < j) ensures that the index pair is not calculated repeatedly, i and j represent two different indicators respectively, and are used to describe the synergistic effect of the simultaneous abnormality of indicator i and indicator j. r ij is the interaction coefficient of indicator i and indicator j, which quantifies the risk amplification effect when the two indicators are abnormally coordinated. τ(T) is the time decay coefficient, T is the duration of the anomaly, which quantifies the accumulation of risk with the duration of the anomaly; the longer the duration, the more serious the risk. min is the minimum value function.

[0232] 5.2, time sequence correlation verification: for the anomaly detected by a single sensor, track the associated data (such as burner flow, temperature change) within the next thirty seconds, if the anomaly continues to appear, it is confirmed as a valid anomaly; if it only appears once and there is no associated change, it is determined to be a transient interference.

[0233] 6, anomaly level division and result output

[0234] Level division:

[0235] Minor anomaly: single sensor deviates from the threshold but the associated data is normal, marked as “warning”;

[0236] Moderate anomaly: multiple sensor associated anomalies but not affecting the core process, marked as “warning”;

[0237] Serious anomaly: key indicators exceed the standard and may cause safety / quality problems, marked as “emergency”.

[0238] Result output: encapsulate the anomaly information (type, occurrence time, associated sensor data, level) as structured data; push to the comprehensive analysis module and PLC control module in real time.

[0239] In this technical solution, the data analysis module realizes the full-process automatic analysis from multi-source data reception, preprocessing to anomaly identification, which not only guarantees the real-time monitoring accuracy of a single sensor, but also reduces the false positive rate through multi-dimensional correlation verification, providing accurate anomaly warning for the stable operation of the smelting process.

[0240] Further, the comprehensive analysis module combines the analysis results of the image analysis module and the data of each sensor for comprehensive analysis and prediction of potential risks. The steps include:

[0241] 1. Multi-source data fusion: Real-time reception of analysis result data from the image analysis module and the data analysis module. The image analysis module analysis results include abnormal type (such as molten pool splashing, slagging, abnormal flame shape), location coordinates, confidence, duration, etc.

[0242] The data analysis module analysis results include abnormal determination results of each sensor (such as uneven temperature field, CO concentration exceeding standard, pressure fluctuation), key feature parameters (such as spectral similarity, temperature change rate).

[0243] Temporal and spatial alignment: Based on the unified timestamp and in-furnace spatial coordinates, eliminate the deviation of data in time and space, ensure the accurate matching of image abnormal position and sensor monitoring area.

[0244] 2. Multi-dimensional correlation verification:

[0245] 2.1 Feature correlation analysis: Establish logical correlation rules between image abnormalities and sensor data to verify the authenticity of abnormalities.

[0246] Example 1: When image recognition identifies "molten pool splashing", it needs to match the sensor data "metal liquid temperature sudden rise (> 5℃ / s) + pressure short-term fluctuation (> 0.5kPa)", if the three occur simultaneously, it is confirmed as "effective splashing anomaly"; if only image recognition detects splashing but sensor has no fluctuation, it is determined as "image interference (such as smoke reflection)".

[0247] Example 2: When image recognition identifies "furnace wall slagging", it needs to match hyperspectral sensor "enhanced characteristic peak of metal oxide in the corresponding area" + K-type thermocouple in the area "temperature is low (thirty degrees lower than the surrounding area)", the three are consistent, which is confirmed as "real slagging".

[0248] 2.2 Contradictory data arbitration: When image and sensor data conflict (such as image shows normal flame but gas analyzer CO concentration exceeds standard), call typical features of similar scenarios in historical database, determine the dominant abnormal factor through similarity comparison.

[0249] 3. Comprehensive risk level evaluation:

[0250] 3.1 Single abnormal risk quantification: For each abnormality verified by correlation, combine its influence range, duration, correlation index severity, and refer to the preset risk matrix to assign a single abnormal risk value (0-10 points).

[0251] 3.2, Multi-Abnormality Overlay Assessment: If multiple related abnormalities exist simultaneously (e.g., "slagging + incomplete combustion + temperature unevenness"), calculate the risk overlay value, and finally output the comprehensive risk level (low risk: 0-3 points; medium risk: 4-7 points; high risk: 8-10 points).

[0252] 4, Potential Risk Prediction:

[0253] 4.1, Short-Term Trend Prediction: Based on the changing trend of real-time data, combined with the process model, predict the possible new abnormal risks derived in the next five to thirty minutes. Correlate image dynamic features with historical sensor data to predict the evolution of the combustion state.

[0254] 4.2, Long-Term Impact Derivation: Predict risks in the next one to two hours; combine raw material composition data (e.g., high sulfur content in raw materials) and current abnormalities (e.g., high-spectrum display of sulfur element enrichment) to derive the impact on the final product quality. Based on the equipment wear model, predict the impact on equipment life.

[0255] Risk prediction model is:

[0256] X(t+△t)=X(t)[1+k x △t·exp(-△t / τ x )]+Σ n i＝1 [a xi S xi (t) βxi ]+ΣR xij S xi (t)S xj (t)λ xs ; where X(t) is the current state quantitative value, defined according to the prediction object: predict "molten pool splashing": X(t) is "the number of splashes in the current ten seconds"; predict "temperature field deviation": X(t) is "the difference between the highest and lowest temperatures in the furnace"; predict "combustion efficiency decline": X(t) is "the deviation rate of actual thermal efficiency from theoretical value". X(t+△t) is the predicted state value after △t time, with the same dimension as X(t), used to judge the risk. k x is the basic evolution coefficient, reflecting the natural growth / decay trend of the current state, for example: predict "molten pool splashing", k x = 0.03 / min (natural growth coefficient); predict "combustion efficiency decline" (efficiency slowly decays without intervention): k x 0.01 / min (decay coefficient, take positive value to indicate that the deviation rate increases); predict "temperature field deviation" (slow deviation under stable working conditions): k x = 0.005 / min. τ x is the evolution decay constant, reflecting the "acceleration slowing down" characteristics of state evolution: splashing (initial acceleration is fast, and later it slows down due to energy consumption): τx = 15 minutes; temperature field drift (slow accumulation, slow decay): τ x = 30 minutes. xi (t) is the real-time value of the i-th influencing factor; a xi is the factor weight, reflecting the influence degree of the factor on the current state; βxi is the nonlinear index, embodying the sensitive characteristics of the factor; R xij is the interaction coefficient, quantifying the coupling effect of the factors; λ xs is the process stage coefficient, adapting to different smelting stages.

[0257] 5、Decision-making suggestion generation output:

[0258] 5.1、Hierarchical response strategy: according to the comprehensive risk level and the prediction result, specific operation suggestions are generated. Low risk: push adjustment suggestions, automatically executed by PLC;

[0259] Medium risk: trigger acousto-optic alarm, push intervention scheme synchronously, which needs to be confirmed by the operator before execution;

[0260] High risk: emergency shutdown warning, forced suspension of smelting process, prompt "check the furnace sealing and burner state immediately".

[0261] The comprehensive analysis results (abnormal correlation graph, risk assessment basis, prediction curve) are combined with historical data and stored and visualized output.

[0262] The present application provides a kind of based on intelligent control's energy-saving metallurgical smelting furnace use method, comprising the following steps:

[0263] 1、Loading: according to target alloy grade, prepare corresponding raw materials (record composition data, input data collection module);Start hydraulic rod 5 to lift top cover 3, add raw materials to furnace lining 2 through feed pipe 12, close sealing plug 13 after feeding;Lower top cover 3 and lock by pneumatic lock, ensure sealing.

[0264] 2、Temperature rise stage control:

[0265] 2.1、Combustion start: start burner 6 through PLC control module, set combustion-supporting agent / burning agent flow based on raw material characteristics, burner 6 supplies gas to combustion nozzle 11 through combustion-supporting agent pipe 8, burning agent pipe 9 and annular pipe 7, ignites and warms up;Gas analyzer monitors flue CO, NOx concentration in real time, and adjusts air-fuel ratio linkage.

[0266] 2.2, Intelligent stirring control: start electromagnetic stirring device, run according to temperature rising stage parameters; set reference current to 150-200 A, target flow rate to 0.6-0.8 m / s; PLC dynamically adjusts current according to ultrasonic flowmeter data: if measured flow rate is lower than target, increase current; if temperature difference in furnace exceeds allowable value, additionally increase current; perform frequency adjustment: set reference frequency to 200-300 Hz, adjust according to melting pool flow uniformity and flow rate difference between upper and lower layers, and ensure efficient heat exchange between surface and interior.

[0267] 2.3, waste heat recovery linkage: flue gas enters waste heat recovery system through gas outlet pipe 14: first-stage heat exchanger preheats combustion-supporting air to 600 DEG C, second-stage steam generator generates 170 DEG C saturated steam, drives steam turbine to generate power, and third-stage preheater heats circulating water to 80 DEG C for cooling system; PLC monitors flue gas temperature and increases circulating water flow rate when efficiency is lower than threshold value.

[0268] 3, heat preservation smelting control:

[0269] 3.1, temperature and composition control:

[0270] When furnace temperature reaches target heat preservation value, PLC control module adjusts power of burner 6 to stabilize temperature.

[0271] High-spectrum sensor analyzes composition of melting pool in real time, compares with standard spectrum, and combines with S-type thermocouple data (metal liquid temperature) to ensure uniform composition.

[0272] 3.2, stirring parameter adjustment:

[0273] Electromagnetic stirring switches to holding stage parameters: set reference current to 100-150 A, and target flow rate to 0.4-0.6 m / s.

[0274] Current adjustment: fine-tune according to flow rate deviation, strengthen adjustment if temperature difference exceeds allowable value by thirty to fifty degrees, and have moderate sensitivity to balance uniformity and stability.

[0275] Frequency adjustment: set reference frequency to 100-200 Hz, focus on controlling flow uniformity, and narrow flow rate difference between upper and lower layers to avoid composition segregation.

[0276] 4, high-spectrum sensor, infrared spectrum sensor, visible light high-speed camera, pressure sensor, temperature sensor, and gas analyzer monitor interior of furnace lining 2, and collect data and images in real time.

[0277] 5, image analysis module analyzes and identifies collected images to identify melting pool splashing, slagging and other abnormalities.

[0278] 6, data analysis module analyzes data collected by various sensors to discover abnormal conditions in time.

[0279] 7. Comprehensive analysis module: combine the analysis results of the image analysis module and the data of each sensor for comprehensive analysis and prediction of potential risks.

[0280] 8. When abnormal conditions are monitored, the alarm module timely issues an alarm; if the pressure fluctuation is greater than 1,000 Pa, the temperature rises by more than 5 degrees per second, or the CO concentration exceeds the standard, the alarm module triggers an alarm, and the PLC automatically adjusts the combustion / stirring parameters (such as reducing the combustion intensity and adjusting the stirring current).

[0281] 9. Cooling and discharging:

[0282] 9.1. Cooling control: reduce the power of the burner 6 to gradually cool down; the electromagnetic stirring switches to the cooling stage parameters:

[0283] The reference current is set to 80-120 amperes, and the target flow rate is 0.3-0.5 m / s;

[0284] Current adjustment: weaken the influence of flow rate deviation, if the temperature difference exceeds the allowed value of 60-80 degrees, slightly increase the current, and prioritize the stability of cooling;

[0285] Frequency adjustment: reference frequency 50-100 Hz, enhance bottom stirring, reduce the flow rate difference between upper and lower layers, and prevent premature solidification at the bottom.

[0286] 9.2. Continuous operation of waste heat recovery: as the flue gas temperature decreases with the furnace temperature, the three-stage preheater continuously recovers waste heat, the circulating water is used for equipment cooling, and steam is supplied to the workshop as needed.

[0287] 9.3. Discharging and slag cleaning: when the furnace temperature drops to the set value, open the zirconia ceramic gate valve of the discharge pipe 16 to discharge the metal liquid; clean the slag through the slag discharge pipe 15 and check the state of the furnace lining 2.

[0288] 10. Shutdown: turn off the burner 6, cut off the combustion aid / supplement supply; stop the electromagnetic stirring device, turn off the adjustable frequency power supply, ensure that the water cooling system continues to operate for 30 minutes to cool down the coil; close the waste heat recovery system flue gate valve, stop the induced draft fan, and release the pressure of the steam generator; raise the top cover 3, clean the feed pipe 12, sealing plug 13, and residual impurities in the furnace.

[0289] The application realizes automatic regulation and control of the smelting process, reduces the hysteresis and errors of manual operation, shortens the smelting cycle, improves the output per unit time, and enhances the production continuity. Precise control of core parameters such as smelting temperature, time, and raw material ratio reduces quality differences caused by manual operation fluctuations, improves product pass rate and consistency. The intelligent system can monitor the equipment operating state (such as abnormal temperature, pressure, leakage, etc.) in real time, trigger alarms or automatically shut down in time, reduce the risk of safety accidents, and ensure personnel and equipment safety.

[0290] The above-described and above-embodied examples are only used to illustrate the technical solutions of the present application, but not to limit it; although the present application has been described in detail with reference to the foregoing examples, those skilled in the art should understand that the technical solutions recorded in the foregoing examples can be modified, or some technical features can be replaced by equivalents; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present application.

Claims

1. A method for using an energy saving metallurgical smelting furnace based on intelligent control, characterized in that, The method comprises the following steps: S1, charging: prepare raw materials; start the hydraulic rod above the furnace body to lift the top cover, add raw materials into the furnace lining through the feeding pipe, close the sealing plug after feeding; lower the top cover and lock it through the pneumatic lock; S2, temperature rising stage control; S3, holding smelting control; S4, high spectrum sensor, infrared spectrum sensor, visible light high-speed camera, pressure sensor, temperature sensor, gas analyzer for monitoring the inside of the furnace lining, real-time data and image acquisition; S5, image analysis module analyzes the collected images and identifies abnormalities; S6, data analysis module analyzes the data collected by each sensor to find abnormal conditions; S7, comprehensive analysis module: combine the analysis results of the image analysis module and the data of each sensor for comprehensive analysis and prediction of potential risks; S8, when abnormal conditions are detected, the alarm module sends an alarm in time; S9, cooling and discharging; S10, shutdown: turn off the burner, cut off the combustion supporting agent / supplement; stop the electromagnetic stirring device and turn off the adjustable frequency power supply.

2. A method of using the intelligent control based energy saving metallurgical smelting furnace as claimed in claim 1, wherein: Step S2 includes the following steps: S2.1, combustion start: start the burner through the PLC control module, set the combustion supporting agent and combustion agent flow based on the characteristics of the raw materials, the burner supplies gas to the combustion nozzle through the combustion supporting agent pipe, combustion agent pipe and annular pipe, ignites and heats up; the gas analyzer monitors the flue gas carbon monoxide concentration in real time; S2.2, intelligent stirring control: start the electromagnetic stirring device and run according to the temperature rising stage parameters; S2.3, waste heat recovery linkage: flue gas enters the waste heat recovery system through the gas outlet pipe.

3. A method of using the intelligent control based energy saving metallurgical smelting furnace as claimed in claim 1, wherein: Step S3 includes the following steps: S3.1, temperature and composition control: when the temperature in the furnace reaches the target holding value, the PLC control module adjusts the burner power to stabilize the temperature; the high spectrum sensor analyzes the composition of the molten pool in real time and compares it with the standard spectrum, combined with the S-type thermocouple data, to ensure uniform composition; S3.2, stirring parameter adjustment: the electromagnetic stirring switches to the holding stage parameters; including current adjustment and frequency adjustment.

4. A method of using the intelligent control based energy saving metallurgical smelting furnace as claimed in claim 3, wherein: Step S9 includes the following steps: S9.1, cooling control: reduce the power of the burner and gradually cool down; the electromagnetic stirring switches to the cooling stage parameters; S9.2, continuous operation of waste heat recovery: as the flue gas temperature decreases with the furnace temperature, the three-stage preheater continuously recovers waste heat, and the circulating water is used for equipment cooling; S9.3, discharging and slag cleaning: when the temperature in the furnace decreases to the set value, open the zirconia ceramic gate valve of the discharge pipe to discharge the molten metal; clean the slag through the slag discharge pipe.

5. A method of using the intelligent control based energy saving metallurgical smelting furnace as claimed in claim 1, wherein: Step S5 includes the following steps: S51, image acquisition: real-time image acquisition, capturing dynamic images of the molten pool surface; S52, image preprocessing: preprocessing the collected images, including denoising, contrast enhancement, region cropping and format conversion; S53, YOLOv8 model loading: load the pre-trained YOLOv8 model and set the model inference parameters; S54, target detection and feature recognition: input the preprocessed image into the YOLOv8 model, the model extracts image features through the backbone network and outputs the target detection result; perform abnormal type identification; S55, result analysis: including single frame result verification and time sequence consistency verification; S56, Abnormal result output: encapsulate the effective abnormal information into a standardized data format and push it to the comprehensive analysis module in real time.

6. A method of using the intelligent control based energy saving metallurgical smelting furnace as claimed in claim 1, wherein: Step S6 includes the following steps: S61, Multi-source data receiving: receive sensor data in real time; align all data based on a unified timestamp; S62, Data preprocessing: including hyperspectral data processing, temperature and infrared data processing, and pressure gas data processing; S63, Feature extraction: extracted features include hyperspectral features, temperature infrared features, and pressure gas features; S64, Single sensor anomaly detection: including hyperspectral anomaly determination, temperature infrared anomaly determination, pressure anomaly determination, and gas anomaly determination; S65, Multi-sensor correlation analysis; S66, Abnormal level division and result output.

7. A method of using the intelligent control based energy saving metallurgical smelting furnace as claimed in claim 1, wherein: Step S7 includes the following steps: S71, Multi-source data fusion: receive analysis result data of the image analysis module and the data analysis module in real time; perform spatio-temporal alignment; S72, Multi-dimensional correlation verification: including feature correlation analysis and contradictory data arbitration; S73, Comprehensive risk level evaluation: including single anomaly risk quantification and multi-anomaly superposition evaluation; S74, Potential risk prediction: including short-term trend prediction and long-term impact deduction; S75, Decision suggestion generation output.

8. A method of using the intelligent control based energy saving metallurgical smelting furnace as claimed in claim 1, wherein: The furnace lining is a three-layer composite structure: The inner layer is a nano zirconia coating, which improves the slag erosion resistance; the middle layer is a lightweight high-aluminum brick; the outer layer is a silicon-aluminum fiber felt plus a stainless steel sheet protection, and several groups of micro thermocouples are embedded inside the furnace lining; A waste heat recovery system is provided on the furnace body; an electromagnetic stirring device is fixedly provided outside the furnace body.

9. A method of using the intelligent control based energy saving metallurgical smelting furnace as claimed in claim 1, wherein: The monitoring mechanism includes: Data collection module: collect metallurgical smelting furnace data and various data required for smelting metals; Hyperspectral sensor: three groups of hyperspectral sensors are embedded in the center of the furnace cover; Infrared spectrum sensor: provided inside the furnace cover; Visible light high-speed camera: the lens extends into the furnace through a water-cooled protective sleeve, avoiding the direct sunlight area; The sensor outer sleeve water-cooled protective sleeve is connected to the furnace outside analysis host through an optical fiber; Pressure sensor: real-time monitoring of the internal pressure of the furnace body; Temperature sensor: real-time monitoring of the internal temperature of the furnace body; Gas analyzer: infrared gas analyzer is provided at the inlet of the flue; Alarm module: including an alarm, which timely issues an alarm when an abnormal condition is detected; Image analysis module: analyzes and identifies images to identify abnormal conditions; Data analysis module: analyzes the data collected by each sensor to timely detect abnormal conditions; Comprehensive analysis module: combines the analysis results of the image analysis module and each sensor data for comprehensive analysis and potential risk prediction; PLC control module: network connection with the data collection module, hyperspectral sensor, infrared spectrum sensor, visible light high-speed camera, pressure sensor, alarm module, image analysis module, comprehensive analysis module, temperature sensor, and gas analyzer.

10. A smart control based energy efficient metallurgical melting furnace comprising: The furnace body, furnace lining, top cover, top plate, hydraulic rod, burner, and monitoring mechanism; characterized in that: The furnace body is internally fixed with a furnace lining; the furnace body is detachably fixed with a top cover; the top cover can be sealingly matched with the furnace body and the furnace lining; the furnace body is fixed above with a top plate through a plurality of support columns; the top plate is fixed with a plurality of hydraulic rods; the movable rods of the hydraulic rods are detachably fixed with the top cover; One side of the furnace body is fixed with a burner; the burner is provided with a combustion aid pipe and a combustion agent pipe; the furnace body is fixed with two annular pipes which are respectively communicated with the combustion aid pipe and the combustion agent pipe; the annular pipes are uniformly provided with a plurality of connecting pipes; the inner wall of the furnace lining is uniformly fixed with a plurality of combustion nozzles which are communicated with the corresponding two connecting pipes; The furnace body is fixed with a monitoring mechanism which monitors and adjusts the energy-saving metallurgical smelting process and timely discovers abnormal conditions.

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