A rotary kiln ring thickness prediction system and method based on CFD simulation technology

Abstract

The application provides a rotary kiln ring thickness prediction system and method based on a CFD simulation technology, and relates to the technical field of rotary kiln ring thickness prediction.The application simulates the overall combustion state of the interior, the diffusion state of the interior flue gas and the heat transfer condition of the rotary kiln body when the rotary kiln is in operation through the CFD simulation technology to obtain rotary kiln inner wall temperature distribution data;according to the obtained rotary kiln geometric and operating parameter information, combined with the rotary kiln body heat transfer model, a large number of simulation and calculation of multiple working conditions, multiple time points and variable parameters are carried out to establish a variable working condition rotary kiln ring prediction database, and the growth condition of the rotary kiln ring under different working conditions and at different time points is realized in real time on site.The application realizes accurate prediction of the ring thickness when the rotary kiln equipment is in operation, avoids manual kiln shutdown and improves the production capacity.

Description

Technical Field

[0001] This invention relates to the field of rotary kiln ring thickness prediction technology, and in particular to a rotary kiln ring thickness prediction system and method based on CFD simulation technology. Background Technology

[0002] During the production process of a rotary kiln, due to the rough surface of the refractory material inside the kiln, and the influence of the high-temperature environment on the internal pellets, powder falling off the surface easily adheres to low-melting-point substances, forming rings of adhesive material on the refractory surface, known as rings. The formation of these rings not only increases the load on the rotary kiln's drive motor and energy consumption, but also causes uneven stress on the kiln body, leading to deformation. Furthermore, when the rings grow to a certain extent, due to the impact of materials inside the kiln or artificial cooling to remove the rings, large pieces of the rings can detach from the refractory surface, damaging the refractory material itself. In severe cases, the refractory material and the rings can detach together, causing the kiln to turn red, necessitating a shutdown for maintenance.

[0003] To promptly understand the formation of rings on the inner wall of a rotary kiln, it is necessary to monitor the thickness and growth trend of these rings in real time. Currently, there are no relevant studies or reports on real-time monitoring of ring formations. In most cases, the thickness of the rings is determined by measuring the surface temperature of the outer wall of the rotary kiln. This method cannot accurately obtain the specific thickness and trend of the rings. Another method is manual observation, where an observation hole is opened at the kiln head, and the kiln watchman observes the ring formation inside the kiln at regular intervals. This method also has limitations, as it only allows observation of a localized area inside the kiln and cannot provide a complete picture of the internal conditions. Furthermore, this method cannot accurately determine the thickness of the rings inside the kiln. In the cement industry, eddy current sensors are used to detect the thickness of the cement rotary kiln body. This method requires the kiln to be shut down and cooled, resulting in a certain predictive lag. Summary of the Invention

[0004] To address the shortcomings of existing technologies, this invention provides a rotary kiln ring thickness prediction system and method based on CFD simulation technology. CFD simulation technology employs numerical methods, utilizing computers to perform numerical solutions to study fluid flow phenomena and physicochemical processes, such as the spatial distribution and temporal variations of temperature, flow, and chemical composition. By obtaining the combustion conditions inside the rotary kiln through CFD simulation technology, and combining this with a rotary kiln heat transfer model, the ring thickness is calculated, and a multi-condition, multi-time, variable-parameter ring prediction database is established. This database allows for timely access to prediction data on-site, enabling accurate prediction of ring thickness during rotary kiln operation, avoiding manual kiln shutdowns, and improving production capacity.

[0005] A rotary kiln ring thickness prediction system based on CFD simulation technology includes a rotary kiln parameter acquisition module, a CFD simulation operation module, a ring growth calculation module, and a ring prediction database module.

[0006] The rotary kiln parameter acquisition module includes a temperature monitoring unit, a geometry and operation parameter acquisition unit, and a 3D modeling unit. It is used to monitor the outer wall temperature of the rotary kiln and acquire geometric information, fuel quantity and air-fuel ratio, and thermophysical parameters of the kiln shell, refractory material, and ring-forming material during factory operation and after leaving the plant. The output terminals of the temperature monitoring unit and the geometry and operation parameter acquisition unit are connected to the input terminal of the 3D modeling unit. The temperature monitoring unit and the geometry and operation parameter acquisition unit acquire data on the outer wall temperature, geometric dimensions and position, fuel quantity and air-fuel ratio during combustion, and thermophysical parameters of the kiln shell, refractory material, and ring-forming material during rotary kiln operation. The 3D modeling unit establishes a 3D model of the rotary kiln based on the rotary kiln parameter data obtained from the temperature monitoring unit and the geometry and operation parameter acquisition unit. Finally, the rotary kiln parameter data and the 3D model of the rotary kiln are transmitted together to the CFD simulation operation module and the ring growth calculation module.

[0007] The CFD simulation module includes an internal combustion simulation unit and a flow-heat coupling simulation unit, used to simulate the internal combustion state, internal flue gas diffusion state, and heat transfer of the rotary kiln body during operation. The internal combustion simulation unit simulates the internal combustion state of the rotary kiln during operation based on the obtained fuel quantity, air-fuel ratio, and thermophysical parameters of the kiln shell, refractory material, and ring-forming material. The flow-heat coupling simulation unit is used to simulate the internal flue gas diffusion state and heat transfer of the rotary kiln body. Based on the simulated combustion state, diffusion state, and heat transfer state, the internal wall temperature distribution data of the rotary kiln is obtained and transmitted to the ring growth calculation module.

[0008] The ring growth calculation module includes an outer wall heat flow calculation unit and a ring thickness calculation unit. It is used to analyze the ring growth trend and calculate the ring thickness based on the rotary kiln parameter data obtained by the rotary kiln parameter acquisition module and the simulation results obtained by the CFD simulation operation module. The output of the outer wall heat flow calculation unit is connected to the input of the ring thickness calculation unit. The outer wall heat flow calculation unit calculates the heat flow through the kiln shell based on the monitored outer wall temperature and transmits it to the ring thickness calculation unit. The ring thickness calculation unit is used to establish a rotary kiln heat transfer model, combine the calculation and simulation results, calculate the ring thickness at the current moment, and transmit the calculation results to the database module.

[0009] The database module includes a data storage unit and a data retrieval unit. It stores the simulation and calculation results of rotary kiln ring thickness under different operating conditions, at different times, and with varying parameters, based on the calculation results of the ring growth calculation module. This establishes a variable-condition rotary kiln ring prediction database for on-site retrieval, enabling on-site prediction of ring formation under different operating conditions and at different times. The output of the data storage unit is connected to the input of the data retrieval unit. The data storage unit stores the simulation and calculation results of rotary kiln ring thickness under different operating conditions, at different times, and with varying parameters. The data retrieval unit retrieves the ring thickness calculation results from the storage unit based on the current rotary kiln combustion state and wall temperature, and transmits the calculation results to the field to complete the ring thickness prediction.

[0010] On the other hand, a method for predicting the thickness of rings in a rotary kiln based on CFD simulation technology, implemented based on the aforementioned rotary kiln ring thickness prediction system based on CFD simulation technology, specifically includes the following steps:

[0011] Step 1: Monitor the temperature of the outer wall of the rotary kiln and obtain the geometric information, fuel quantity and air-fuel ratio of the rotary kiln before and during operation, as well as the thermophysical parameters of the kiln shell, refractory materials and ring materials.

[0012] Step 2: The rotary kiln parameter acquisition module uses 3D modeling software to create a 1:1 three-dimensional model of the rotary kiln, including the rotary kiln shell structure, burner structure, and main structure of the rotary kiln for raw material and air inlet and outlet, based on the geometric information of the rotary kiln body. The module also assigns the thermal properties parameters of the rotary kiln shell and refractory materials to complete the rotary kiln modeling.

[0013] Step 3: The CFD simulation module uses CFD simulation technology to simulate the internal combustion state, internal flue gas diffusion state, and heat transfer of the rotary kiln shell during operation based on the rotary kiln parameter acquisition module, the rotary kiln model, fuel quantity, and air-fuel ratio. Based on the aforementioned simulation of the combustion state and flow heat transfer coupling, and considering the flame temperature and convection effect of flue gas flow during combustion, the finite volume calculation software is used to calculate the temperature distribution data of the inner wall of the rotary kiln. The rotary kiln heat transfer model is established through the ring growth calculation module.

[0014] The heat transfer model of the rotary kiln body is as follows:

[0015] Φ=(T w -T b ) / [ln(R b / R st ) / 2πlλ st +ln(R st / R cl ) / 2πlλ cl +ln(Rcl / R w ) / 2πlλ rf ]

[0016] Where Φ is the heat flow rate through the rotary kiln cylinder per unit time, and T w To generate ring formation, the inner wall temperature of the rotary kiln is T b R is the temperature of the outer wall of the rotary kiln. b R st R cl R w These represent the center-to-center distances of the cross-sections of the outer surface of the kiln shell steel, the contact surface between the kiln shell and the refractory material, the contact surface between the refractory material and the refractory rings, and the inner surface of the refractory rings, respectively. st , λ cl , λ rf , respectively, are the thermal conductivity of the kiln shell steel, refractory material, and kiln ring, where l is the unit length;

[0017] Step 4: Based on the monitored temperature of the outer wall of the rotary kiln, calculate the heat flow between the outer wall of the rotary kiln and the surrounding environment, and then combine the rotary kiln heat transfer model to calculate the ring thickness.

[0018] The thickness of the knot δ js =R cl -R w ;

[0019] Step 5: Based on the rotary kiln operation under different working conditions in the factory, perform CFD simulation and calculation for multiple working conditions, multiple time periods, and variable parameters to obtain multiple sets of ring prediction data, and import the calculation results into the data storage unit to establish a callable database for ring prediction.

[0020] Step 6: Finally, the data retrieval unit retrieves the ring thickness calculation results, allowing the factory to predict the ring growth of the rotary kiln under different operating conditions and at different times.

[0021] The beneficial effects of adopting the above technical solution are as follows:

[0022] This invention provides a rotary kiln ring thickness prediction system and method based on CFD simulation technology, which has the following beneficial effects:

[0023] 1. Based on the on-site rotary kiln combustion state and wall temperature, combined with database technology, the simulation and calculation results of rotary kiln ring thickness under multiple working conditions, multiple times, and variable parameters are stored for on-site access to ring prediction data, which can more quickly and accurately predict the rotary kiln ring thickness in real time.

[0024] 2. Based on CFD simulation technology, the internal combustion state, internal flue gas diffusion state, and heat transfer of the kiln body are simulated during the operation of the rotary kiln. Combined with the heat transfer model of the rotary kiln body, the thickness of the ring in the rotary kiln on site is calculated by mathematical calculation. This effectively avoids the need to manually stop the kiln to check the ring due to the difficulty in predicting the ring thickness, saving manpower and resources and increasing production capacity.

[0025] 3. By predicting the thickness of the ring in the rotary kiln in real time, it provides a strong basis for handling the ring on site, which can prevent damage to the inside of the rotary kiln in time, protect the kiln body, extend the service life of the rotary kiln, and improve economic benefits. Attached Figure Description

[0026] Figure 1 This is a structural diagram of the rotary kiln ring thickness prediction system in an embodiment of the present invention;

[0027] Figure 2 This is a flowchart of the rotary kiln ring thickness prediction method in an embodiment of the present invention. Detailed Implementation

[0028] The specific embodiments of the present invention will be described in further detail below with reference to the accompanying drawings and examples. The following examples are for illustrative purposes only and are not intended to limit the scope of the invention.

[0029] A rotary kiln ring thickness prediction system based on CFD simulation technology includes a rotary kiln parameter acquisition module, a CFD simulation operation module, a ring growth calculation module, and a ring prediction database module; such as Figure 1 As shown.

[0030] The rotary kiln parameter acquisition module includes a temperature monitoring unit, a geometry and operation parameter acquisition unit, and a 3D modeling unit. It is used to monitor the outer wall temperature of the rotary kiln and acquire geometric information, fuel quantity and air-fuel ratio, and thermophysical parameters of the kiln shell, refractory material, and ring-forming material during factory operation and after leaving the plant. The output terminals of the temperature monitoring unit and the geometry and operation parameter acquisition unit are connected to the input terminal of the 3D modeling unit. The temperature monitoring unit and the geometry and operation parameter acquisition unit acquire data on the outer wall temperature, geometric dimensions and position, fuel quantity and air-fuel ratio during combustion, and thermophysical parameters of the kiln shell, refractory material, and ring-forming material during rotary kiln operation. The 3D modeling unit establishes a 3D model of the rotary kiln based on the rotary kiln parameter data obtained from the temperature monitoring unit and the geometry and operation parameter acquisition unit. Finally, the rotary kiln parameter data and the 3D model of the rotary kiln are transmitted together to the CFD simulation operation module and the ring growth calculation module.

[0031] The CFD simulation module includes an internal combustion simulation unit and a flow-heat coupling simulation unit, used to simulate the internal combustion state, internal flue gas diffusion state, and heat transfer of the rotary kiln body during operation. The internal combustion simulation unit simulates the internal combustion state of the rotary kiln during operation based on the obtained fuel quantity, air-fuel ratio, and thermophysical parameters of the kiln shell, refractory material, and ring-forming material. The flow-heat coupling simulation unit is used to simulate the internal flue gas diffusion state and heat transfer of the rotary kiln body. Based on the simulated combustion state, diffusion state, and heat transfer state, the internal wall temperature distribution data of the rotary kiln is obtained and transmitted to the ring growth calculation module.

[0032] The ring growth calculation module includes an outer wall heat flow calculation unit and a ring thickness calculation unit. It is used to analyze the ring growth trend and calculate the ring thickness based on the rotary kiln parameter data obtained by the rotary kiln parameter acquisition module and the simulation results obtained by the CFD simulation operation module. The output of the outer wall heat flow calculation unit is connected to the input of the ring thickness calculation unit. The outer wall heat flow calculation unit calculates the heat flow through the kiln shell based on the monitored outer wall temperature and transmits it to the ring thickness calculation unit. The ring thickness calculation unit is used to establish a rotary kiln heat transfer model, combine the calculation and simulation results, calculate the ring thickness at the current moment, and transmit the calculation results to the database module.

[0033] The database module includes a data storage unit and a data retrieval unit. It stores the simulation and calculation results of rotary kiln ring thickness under different operating conditions, at different times, and with varying parameters, based on the calculation results of the ring growth calculation module. This establishes a variable-condition rotary kiln ring prediction database for on-site retrieval, enabling on-site prediction of ring formation under different operating conditions and at different times. The output of the data storage unit is connected to the input of the data retrieval unit. The data storage unit stores the simulation and calculation results of rotary kiln ring thickness under different operating conditions, at different times, and with varying parameters. The data retrieval unit retrieves the ring thickness calculation results from the storage unit based on the current rotary kiln combustion state and wall temperature, and transmits the calculation results to the field to complete the ring thickness prediction.

[0034] On the other hand, a method for predicting the thickness of rings in a rotary kiln based on CFD simulation technology is implemented based on the aforementioned rotary kiln ring thickness prediction system based on CFD simulation technology, such as... Figure 2 As shown, the specific steps include:

[0035] Step 1: Monitor the temperature of the outer wall of the rotary kiln and obtain the geometric information, fuel quantity and air-fuel ratio of the rotary kiln before and during operation, as well as the thermophysical parameters of the kiln shell, refractory materials and ring materials.

[0036] Step 2: The rotary kiln parameter acquisition module uses 3D modeling software to create a 1:1 three-dimensional model of the rotary kiln, including the rotary kiln shell structure, burner structure, and main structure of the rotary kiln for raw material and air inlet and outlet, based on the geometric information of the rotary kiln body. The module also assigns the thermal properties parameters of the rotary kiln shell and refractory materials to complete the rotary kiln modeling.

[0037] In this embodiment, the outer wall temperature T of the rotary kiln during operation is monitored by a temperature monitoring unit. b =573K, ambient temperature T hj =300K, the temperature data is sent to the external wall heat flow calculation unit to calculate the heat flow Φ = hA w (T b -T hj =56.8kJ; The distances between the centers of the outer surface of the kiln shell steel, the contact surface between the kiln shell and the refractory material, and the contact surface between the refractory material and the ring are obtained by the geometry and operation parameter acquisition unit as 4m, 3.9m, and 3.7m, respectively. The thermal conductivity of the kiln shell steel, the refractory material, and the ring are 40W(m·K), 0.8W(m·K), and 2W(m·K), respectively. The above parameter data are then sent to the three-dimensional modeling unit to complete the establishment of the three-dimensional model of the rotary kiln.

[0038] Step 3: The CFD simulation module uses CFD simulation technology to simulate the internal combustion state, internal flue gas diffusion state, and heat transfer of the rotary kiln shell during operation based on the rotary kiln parameter acquisition module, the rotary kiln model, fuel quantity, and air-fuel ratio. Based on the aforementioned simulation of the combustion state and flow heat transfer coupling, and considering the flame temperature and convection effect of flue gas flow during combustion, the finite volume calculation software is used to calculate the temperature distribution data of the inner wall of the rotary kiln. The rotary kiln heat transfer model is established through the ring growth calculation module.

[0039] The heat transfer model of the rotary kiln body is as follows:

[0040] Φ=(T w -T b ) / [ln(R b / R st ) / 2πlλ st +ln(R st / R cl ) / 2πlλ cl +ln(R cl / R w ) / 2πlλ rf ]

[0041] Where Φ is the heat flow rate through the rotary kiln cylinder per unit time, and T w To generate ring formation, the inner wall temperature of the rotary kiln is T b R is the temperature of the outer wall of the rotary kiln.b R st R cl R w These represent the center-to-center distances of the cross-sections of the outer surface of the kiln shell steel, the contact surface between the kiln shell and the refractory material, the contact surface between the refractory material and the refractory rings, and the inner surface of the refractory rings, respectively. st , λ cl , λ rf , respectively, are the thermal conductivity of the kiln shell steel, refractory material, and kiln ring, where l is the unit length;

[0042] Step 4: Based on the monitored temperature of the outer wall of the rotary kiln, calculate the heat flow between the outer wall of the rotary kiln and the surrounding environment, and then combine the rotary kiln heat transfer model to calculate the ring thickness.

[0043] The thickness of the knot δ js =R cl -R w ;

[0044] In this embodiment, the 3D modeling unit imports model data into the internal combustion simulation unit and the flow and heat transfer coupling simulation unit. The rotary kiln inner wall temperature Tw = 1173K, obtained through CFD simulation technology, is sent to the ring thickness calculation unit. The ring thickness calculation unit then establishes a rotary kiln heat transfer model Φ = (Tw / Tw = 1173K). w -T b ) / [ln(R b / R st ) / 2πlλ st +ln(R st / R cl ) / 2πlλ cl +ln(R cl / R w ) / 2πlλ rf ], where: Φ is the heat flow rate through the rotary kiln cylinder per unit time, T w To generate ring formation, the inner wall temperature of the rotary kiln is T b R is the temperature of the outer wall of the rotary kiln. b R st R cl R w These represent the center-to-center distances of the cross-sections of the outer surface of the kiln shell steel, the contact surface between the kiln shell and the refractory material, the contact surface between the refractory material and the refractory rings, and the inner surface of the refractory rings, respectively. st , λ cl , λ rf Let l represent the thermal conductivity of the kiln shell steel, refractory material, and ring material, respectively, and l be the unit length; the ring thickness δ is calculated. js =R cl -R w =0.14m;

[0045] Step 5: Based on the rotary kiln operation under different working conditions in the factory, perform CFD simulation and calculation for multiple working conditions, multiple time periods, and variable parameters to obtain multiple sets of ring prediction data, and import the calculation results into the data storage unit to establish a callable database for ring prediction.

[0046] Step 6: Finally, the data retrieval unit retrieves the ring thickness calculation results, allowing the factory to predict the ring growth of the rotary kiln under different operating conditions and at different times.

[0047] The above description is merely a preferred embodiment of this disclosure and an explanation of the technical principles employed. Those skilled in the art should understand that the scope of the invention involved in the embodiments of this disclosure is not limited to technical solutions formed by specific combinations of the above-described technical features, but should also cover other technical solutions formed by arbitrary combinations of the above-described technical features or their equivalents without departing from the above-described inventive concept. For example, technical solutions formed by substituting the above-described features with (but not limited to) technical features with similar functions disclosed in the embodiments of this disclosure.

Claims

1. A rotary kiln ring thickness prediction system based on CFD simulation technology, characterized in that, It includes a rotary kiln parameter acquisition module, a CFD simulation operation module, a ring growth calculation module, and a ring prediction database module; The rotary kiln parameter acquisition module includes a temperature monitoring unit, a geometry and operation parameter acquisition unit, and a 3D modeling unit. It monitors the outer wall temperature of the rotary kiln and acquires geometric information, fuel quantity and air-fuel ratio, and thermophysical parameters of the kiln shell, refractory materials, and ring-forming materials during both factory production and operation. The temperature monitoring unit and geometry and operation parameter acquisition unit obtain data on the outer wall temperature, geometric dimensions and location, fuel quantity and air-fuel ratio during combustion, and thermophysical parameters of the kiln shell, refractory materials, and ring-forming materials during operation. The 3D modeling unit builds a 3D model of the rotary kiln based on the parameter data obtained from the temperature monitoring unit and geometry and operation parameter acquisition unit. Finally, the rotary kiln parameter data and the 3D model are transmitted to the CFD simulation operation module and the ring growth calculation module. The CFD simulation module includes an internal combustion simulation unit and a flow-heat coupling simulation unit, used to simulate the internal combustion state, internal flue gas diffusion state, and heat transfer of the rotary kiln body during operation. The internal combustion simulation unit simulates the internal combustion state of the rotary kiln during operation based on the obtained fuel quantity, air-fuel ratio, and thermophysical parameters of the kiln shell, refractory material, and ring-forming material. The flow-heat coupling simulation unit is used to simulate the internal flue gas diffusion state and heat transfer of the rotary kiln body. Based on the simulated combustion state, diffusion state, and heat transfer state, the internal wall temperature distribution data of the rotary kiln is obtained and transmitted to the ring growth calculation module. The ring growth calculation module includes an outer wall heat flow calculation unit and a ring thickness calculation unit. It is used to analyze the ring growth trend and calculate the ring thickness based on the rotary kiln parameter data obtained by the rotary kiln parameter acquisition module and the simulation results obtained by the CFD simulation operation module. The outer wall heat flow calculation unit calculates the heat flow through the kiln shell based on the monitored outer wall surface temperature and sends it to the ring thickness calculation unit. The ring thickness calculation unit is used to establish a heat transfer model of the rotary kiln body. Combining the calculation and simulation results, it calculates the ring thickness at the current moment and sends the calculation results to the database module. The heat transfer model of the rotary kiln body is as follows: Φ=(T w -T b ) / [ln(R b / R st ) / 2πlλ st +ln(R st / R cl ) / 2πlλ cl +ln(R cl / R w ) / 2πlλ rf ]; Where Φ is the heat flow rate through the rotary kiln cylinder per unit time, and T w To generate ring formation, the inner wall temperature of the rotary kiln is T b R is the temperature of the outer wall of the rotary kiln. b R st R cl R w These represent the center-to-center distances of the cross-sections of the outer surface of the kiln shell steel, the contact surface between the kiln shell and the refractory material, the contact surface between the refractory material and the refractory rings, and the inner surface of the refractory rings, respectively. st , λ cl , λ rf , respectively, are the thermal conductivity of the kiln shell steel, refractory material, and kiln ring, where l is the unit length; The database module includes a data storage unit and a data retrieval unit. The data storage unit stores the simulation and calculation results of rotary kiln ring thickness based on the calculation results of the ring growth calculation module, and establishes a rotary kiln ring prediction database under varying operating conditions for on-site retrieval. The data storage unit stores the simulation and calculation results of rotary kiln ring thickness under different operating conditions, at different times, and with varying parameters. The data retrieval unit retrieves the ring thickness calculation results from the storage unit based on the current rotary kiln combustion state and wall temperature, and transmits the calculation results to the field to complete the ring thickness prediction.

2. The rotary kiln ring thickness prediction system based on CFD simulation technology according to claim 1, characterized in that, The output terminals of the temperature monitoring unit and the geometry and operating parameter acquisition unit are connected to the input terminal of the three-dimensional modeling unit. The output terminal of the outer wall heat flow calculation unit is connected to the input terminal of the ring thickness calculation unit. The output terminal of the data storage unit is connected to the input terminal of the data retrieval unit.

3. A method for predicting the thickness of rings in a rotary kiln based on CFD simulation technology, implemented based on the rotary kiln ring thickness prediction system based on CFD simulation technology as described in claim 1, characterized in that... Includes the following steps: Step 1: Monitor the temperature of the outer wall of the rotary kiln and obtain the geometric information, fuel quantity and air-fuel ratio of the rotary kiln before and during operation, as well as the thermophysical parameters of the kiln shell, refractory materials and ring materials. Step 2: The rotary kiln parameter acquisition module uses 3D modeling software to establish a three-dimensional model of the rotary kiln based on the geometric information of the kiln body, thus completing the rotary kiln modeling. Step 3: The CFD simulation module establishes a heat transfer model of the rotary kiln body using CFD simulation technology. Based on the rotary kiln model obtained by the rotary kiln parameter acquisition module, and the combustion state, flue gas diffusion state, and heat transfer of the rotary kiln shell during operation simulated by fuel quantity and air-fuel ratio, and based on the aforementioned simulation of the combustion state and flow heat transfer coupling, and taking into account the flame temperature and the convection effect of flue gas flow during combustion, the temperature distribution data of the inner wall of the rotary kiln is calculated using finite volume calculation software, and a rotary kiln heat transfer model is established through the ring growth calculation module. Step 4: Based on the monitored temperature of the outer wall of the rotary kiln, calculate the heat flow between the outer wall of the rotary kiln and the surrounding environment, and then combine the rotary kiln heat transfer model to calculate the ring thickness. Step 5: Based on the rotary kiln operation under different working conditions in the factory, perform CFD simulation and calculation for multiple working conditions, multiple time periods, and variable parameters to obtain different ring formation prediction data, and import the prediction data into the data storage unit to establish a callable database for ring formation prediction. Step 6: Finally, the data retrieval unit retrieves the ring thickness calculation results, allowing the factory to predict the ring growth of the rotary kiln under different operating conditions and at different times.

4. The method for predicting the thickness of rings in a rotary kiln based on CFD simulation technology according to claim 3, characterized in that, The three-dimensional model of the rotary kiln mentioned in step 2 includes the rotary kiln cylinder structure, burner structure, and main structure of the rotary kiln with raw material and air inlet and outlet. It is a 1:1 three-dimensional model of the rotary kiln with the actual rotary kiln, and the thermal properties parameters of the rotary kiln shell and refractory material are assigned.

5. The rotary kiln ring thickness prediction system based on CFD simulation technology according to claim 3, characterized in that, The establishment of the rotary kiln heat transfer model in step 3 specifically involves: based on the rotary kiln model obtained by the rotary kiln parameter acquisition module, and the simulation of the internal combustion state, internal flue gas diffusion state, and heat transfer of the rotary kiln shell during operation using fuel quantity and air-fuel ratio, and based on the aforementioned simulation of the combustion state and flow heat transfer coupling, and considering the flame temperature and convection effect of flue gas flow during combustion, the temperature distribution data of the inner wall of the rotary kiln is calculated using finite volume calculation software, and the rotary kiln heat transfer model is established through the ring growth calculation module.

6. The method for predicting the thickness of rings in a rotary kiln based on CFD simulation technology according to claim 3, characterized in that, The ring thickness δ mentioned in step 4 js =R cl -R w .

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