Heat pipe conveying heat preservation energy efficiency optimization system based on thermodynamic model

Abstract

The application discloses a heat pipe conveying and heat preservation energy efficiency optimization system based on a thermodynamic model, and relates to the technical field of heat conveying and heat preservation. The system comprises a data acquisition module, a thermodynamic model operation module, a heat preservation execution module and a control module. The system builds a personalized thermodynamic model, fully considers complex factors such as internal fluid flow of the pipeline, external environment temperature, wind speed, precipitation and the like, accurately simulates a heat transfer process, avoids the problems of insufficient heat preservation or excessive heat preservation caused by traditional experience design, accurately matches the heat preservation scheme with actual working conditions, significantly improves the heat preservation pertinence and effectiveness, and has real-time data acquisition and dynamic optimization capabilities. The system can quickly adjust the heat preservation strategy according to the changes of the pipeline operation parameters and the environment parameters, changes the compaction degree of the heat preservation layer through the adjustable heat preservation assembly, controls the start and stop of the electric heating auxiliary assembly, realizes the quick response to the working condition fluctuation, and ensures that the optimal heat preservation effect is maintained under different environments and working conditions.

Description

Technical Field

[0001] This invention belongs to the field of heat transport and insulation technology, specifically a heat pipeline transport and insulation energy efficiency optimization system based on a thermodynamic model. Background Technology

[0002] As a core component of combined heat and power (CHP) and district heating systems, the insulation performance of thermal pipelines directly impacts energy efficiency and operating costs. During long-distance heat transmission, heat loss through the pipeline walls is a common problem, reducing overall system energy efficiency and increasing energy consumption and environmental pressure. Traditional thermal pipeline insulation technologies often rely on single insulation materials and fixed insulation structures, lacking adaptability to actual operating conditions and environmental changes, making precise insulation difficult to achieve.

[0003] Existing insulation materials such as rock wool, glass wool, and polyurethane foam have limitations, including high thermal conductivity, insufficient high-temperature resistance, and poor durability. They are prone to moisture absorption and aging after long-term use, leading to a continuous decline in insulation effectiveness. Furthermore, traditional technologies lack precise thermodynamic models to accurately simulate heat transfer within pipes. Insulation structure design often relies on experience, failing to fully consider the complex effects of fluid flow inside the pipe, external temperature changes, and wind speed. This results in insulation solutions that do not meet actual needs, easily leading to either excessively thick insulation layers that increase costs and construction difficulty, or insufficient insulation that causes significant heat loss. In addition, existing systems lack dynamic optimization mechanisms and cannot adjust insulation strategies based on real-time operating conditions. When ambient temperature changes abruptly or fluid flow and temperature fluctuate within the pipe, they struggle to quickly respond and optimize insulation parameters, further exacerbating heat loss and energy waste.

[0004] Therefore, it is necessary to invent a thermal pipeline transportation insulation energy efficiency optimization system based on a thermodynamic model to solve the above problems. Summary of the Invention

[0005] To overcome the aforementioned deficiencies of the prior art, this invention provides a thermal pipeline transportation insulation energy efficiency optimization system based on a thermodynamic model. This addresses the problems mentioned in the background art, such as the existing system not having established an accurate thermodynamic model, resulting in a mismatch between the insulation scheme and actual needs, easily leading to situations where the insulation layer is too thick, increasing costs and construction difficulty, or insufficient insulation causing a large amount of heat loss, and the existing system lacking a dynamic optimization mechanism, making it unable to adjust the insulation strategy according to real-time operating conditions.

[0006] To achieve the above objectives, the present invention provides the following technical solution: a thermal pipeline transportation insulation energy efficiency optimization system based on a thermodynamic model, comprising a data acquisition module, a thermodynamic model calculation module, an insulation execution module, and a control module. The data acquisition module includes internal pipeline parameter sensors, external pipeline parameter sensors, environmental parameter sensors, and a data transmission unit, which is connected to each sensor. The thermodynamic model calculation module includes a model construction unit, a numerical calculation unit, and a scheme output unit, and is signal-connected to the data acquisition module through the data transmission unit. The insulation execution module includes a basic insulation layer, a reinforced insulation layer, an adjustable insulation component, and a protective layer arranged radially from the inside to the outside of the pipeline. The control module includes a data processing unit, a linkage control unit, and a fault alarm unit, which are electrically connected to the data acquisition module, the thermodynamic model calculation module, and the insulation execution module, respectively.

[0007] As a further description of the above technical solution, the internal parameter sensors of the pipeline include temperature sensors and pressure sensors evenly arranged along the pipeline axis on the inner wall of the pipeline and fixed to the inner wall of the pipeline by welding. The external parameter sensors of the pipeline include an outer wall temperature sensor and an insulation layer humidity sensor. The outer wall temperature sensor is pasted on the outer wall of the pipeline, and the insulation layer humidity sensor is embedded inside the insulation layer. The environmental parameter sensors include an environmental temperature sensor, a wind speed sensor, and a precipitation sensor fixed to the outer perimeter area of ​​the pipeline by a bracket.

[0008] As a further description of the above technical solution, the data transmission unit is connected to each sensor via signal lines and has a built-in wireless communication module for transmitting the collected parameters to the thermodynamic model calculation module in real time. The transmission process is encrypted. The data transmission unit is also connected to the control module for feedback of sensor operating status data.

[0009] As a further description of the above technical solution, the model building unit of the thermodynamic model calculation module has a built-in basic thermodynamic model library, which is used to import the basic parameters of the pipeline and the real-time operating parameters, dynamically correct the boundary conditions of the model and form a personalized thermodynamic model. The solution output unit is connected to the control module for signaling and is used to output the insulation material combination, insulation layer thickness and insulation structure optimization instructions.

[0010] As a further description of the above technical solution, the basic insulation layer of the insulation execution module is attached to the outer wall of the pipe and is made of aerogel and glass fiber composite. It is fixed to the outer wall of the pipe by an adhesive and a sealant is provided at the joint. The reinforced insulation layer is located outside the basic insulation layer and is made of nanocomposite insulation material. A flexible electric heating auxiliary component is embedded inside. The electric heating auxiliary component is electrically connected to the control module.

[0011] As a further description of the above technical solution, the adjustable insulation components of the insulation execution module are evenly distributed along the circumference of the pipeline, including a telescopic insulation unit and a driving component. The telescopic insulation unit is composed of flexible insulation material and a metal telescopic frame. The driving component is a miniature cylinder and is electrically connected to the control module, used to drive the telescopic insulation unit to extend and retract to adjust the compaction of the insulation layer.

[0012] As a further description of the above technical solution, the protective layer of the thermal insulation execution module is wrapped around the outside of the reinforced thermal insulation layer and is made of anti-corrosion, waterproof and anti-aging composite roll material. The protective layer is provided with a wear-resistant coating and is fixed to the fasteners by pressure strips.

[0013] As a further description of the above technical solution, the data processing unit of the control module is signal-connected to the data transmission unit of the data acquisition module, and is used to filter, reduce noise and standardize the acquired data. The linkage control unit is electrically connected to the scheme output unit of the thermodynamic model calculation module, the adjustable heat preservation component of the heat preservation execution module and the electric heating auxiliary component, respectively, and is used to analyze and optimize the scheme and drive the execution component to act.

[0014] As a further description of the above technical solution, the fault alarm unit of the control module has a built-in audible and visual alarm and a remote push module, which are used to monitor the operating status of each module, issue alarm signals and record fault information.

[0015] As a further description of the above technical solution, the numerical calculation unit of the thermodynamic model calculation module adopts the finite element analysis method to simulate the heat transfer process under different insulation schemes, and compares and analyzes the heat loss rate and the fluid temperature decay law. The model calculation module also has a built-in scheme database to store historical calculation data and optimization schemes.

[0016] Compared with the prior art, the beneficial effects of the present invention are: 1. This invention constructs a personalized thermodynamic model, fully considering complex factors such as fluid flow inside the pipeline, external ambient temperature, wind speed, and precipitation, to accurately simulate the heat transfer process. This avoids the problems of insufficient or excessive insulation caused by traditional experience-based design, ensuring that the insulation scheme is precisely matched with the actual working conditions. This significantly improves the targeting and effectiveness of insulation. The system has real-time data acquisition and dynamic optimization capabilities, and can quickly adjust the insulation strategy according to changes in pipeline operating parameters and environmental parameters. By adjusting the insulation components to change the compaction of the insulation layer and controlling the start and stop of the electric heating auxiliary components, it can achieve a rapid response to fluctuations in operating conditions, ensuring that the optimal insulation effect is maintained under different environments and working conditions.

[0017] 2. This invention significantly reduces the thermal conductivity and improves the insulation performance by using novel high-efficiency insulation materials such as aerogel composite materials and nanocomposite insulation materials in the insulation execution module, combined with a layered insulation structure design. With the insulation parameters optimized by the thermodynamic model, heat loss during the heat transfer process is effectively reduced, thereby improving the overall energy utilization efficiency of the system.

[0018] 3. The system of this invention can be seamlessly integrated into existing thermal pipelines without dismantling or replacing the original pipelines. Only a data acquisition module, insulation execution module, and control module need to be added, making construction simple and cost-effective. It is suitable for thermal pipelines of different diameters and materials, and is compatible with long-distance heat transmission scenarios such as combined heat and power and district heating. The anti-corrosion, waterproof, and anti-aging design of the protective layer, combined with the humidity monitoring function of the insulation layer, can effectively prevent the insulation material from absorbing moisture and aging, and extend the service life of the insulation system. The system's fault alarm and log recording functions make it easy for operation and maintenance personnel to discover and deal with problems in a timely manner, reduce maintenance workload and downtime, and reduce long-term operating costs. Attached Figure Description

[0019] To more clearly illustrate the technical solutions in the embodiments of this application or the prior art, the drawings used in the embodiments will be briefly introduced below. Obviously, the drawings described below are only some embodiments recorded in this invention. For those skilled in the art, other drawings can be obtained based on these drawings.

[0020] Figure 1 This is a schematic diagram of the overall structure of the system provided by the present invention. Detailed Implementation

[0021] The following specific embodiments illustrate the implementation of the present invention. Those skilled in the art can easily understand other advantages and effects of the present invention from the content disclosed in this specification. Obviously, the described embodiments are only some, not all, of the embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] To enable those skilled in the art to better understand the present application, the present application will be further described in detail below with reference to the accompanying drawings and specific embodiments.

[0023] See attached document Figure 1This embodiment of a thermal pipeline transportation insulation energy efficiency optimization system based on a thermodynamic model includes a data acquisition module, a thermodynamic model calculation module, an insulation execution module, and a control module. The data acquisition module includes internal pipeline parameter sensors, external pipeline parameter sensors, environmental parameter sensors, and a data transmission unit. The data transmission unit is connected to each sensor. The thermodynamic model calculation module includes a model construction unit, a numerical calculation unit, and a scheme output unit, and is signal-connected to the data acquisition module through the data transmission unit. The insulation execution module includes a basic insulation layer, a reinforced insulation layer, an adjustable insulation component, and a protective layer arranged radially from the inside to the outside of the pipeline. The control module includes a data processing unit, a linkage control unit, and a fault alarm unit that are electrically connected to the data acquisition module, the thermodynamic model calculation module, and the insulation execution module, respectively.

[0024] The internal parameter sensors of the pipeline include temperature sensors (model 305E-TC1-ANP) and pressure sensors (model DP1000-R) evenly arranged along the pipeline axis on the inner wall of the pipeline, and are fixed to the inner wall of the pipeline by welding. The external parameter sensors of the pipeline include an outer wall temperature sensor (model FD-EPH7) and an insulation layer humidity sensor (model Positector 6000 DPMD Probe). The outer wall temperature sensor is pasted on the outer wall of the pipeline, and the insulation layer humidity sensor is embedded inside the insulation layer. The environmental parameter sensors include an ambient temperature sensor, a wind speed sensor, and a precipitation sensor (model Wanxiang Environment WX-B6) fixed to the outer perimeter of the pipeline by brackets. The data transmission unit is connected to each sensor through signal lines and has a built-in wireless communication module for transmitting the collected parameters to the thermodynamic model calculation module in real time. The transmission process is encrypted. The data transmission unit is also connected to the control module for feedback of sensor operating status data.

[0025] Thus, the sensors in the data acquisition module comprehensively capture multi-dimensional parameters: temperature and pressure sensors on the inner wall of the pipe acquire the fluid operation status in real time; temperature sensors on the outer wall of the pipe and humidity sensors on the insulation layer monitor the operation status of the insulation system; ambient temperature, wind speed, and precipitation sensors record changes in the external environment; the data transmission unit encrypts and transmits the collected raw data to the control module; the data processing unit filters, reduces noise, and standardizes the data, removes outliers, extracts effective parameters, and provides high-quality data support for model calculations.

[0026] The thermodynamic model calculation module's model building unit has a built-in basic thermodynamic model library, used to import basic pipeline parameters and real-time operating parameters, dynamically correct model boundary conditions, and form personalized thermodynamic models. The scheme output unit is connected to the control module to output instructions for insulation material combinations, insulation layer thickness, and insulation structure optimization. The numerical calculation unit of the thermodynamic model calculation module uses the finite element analysis method to simulate the heat transfer process under different insulation schemes, compare and analyze heat loss rates and fluid temperature decay laws. The model calculation module also has a built-in scheme database to store historical calculation data and optimization schemes.

[0027] Therefore, the thermodynamic model calculation module receives the preprocessed real-time data, the model building unit calls the basic thermodynamic model library, and dynamically corrects the model boundary conditions by combining the basic parameters of the pipeline (pipe diameter, material) to build a personalized thermodynamic model that fits the current operating state; the numerical calculation unit uses the finite element analysis method to numerically solve the model, simulate the heat transfer process under different insulation schemes, analyze key indicators such as heat loss rate and fluid temperature decay, compare and select the optimal insulation scheme, and transmit it to the control module through the scheme output unit.

[0028] The basic insulation layer of the insulation execution module is fitted to the outer wall of the pipe and is made of aerogel and fiberglass composite. It is fixed to the outer wall of the pipe with adhesive and sealant is applied to the joints. The reinforced insulation layer is located outside the basic insulation layer and is made of nano-composite insulation material. A flexible electric heating auxiliary component is embedded inside. The electric heating auxiliary component is electrically connected to the control module. The adjustable insulation components of the insulation execution module are evenly distributed along the circumference of the pipe and include a telescopic insulation unit and a drive component. The telescopic insulation unit is composed of flexible insulation material and a metal telescopic frame. The drive component is a miniature cylinder and is electrically connected to the control module. It is used to drive the telescopic insulation unit to extend and retract to adjust the compaction of the insulation layer. The protective layer of the insulation execution module is wrapped around the outside of the reinforced insulation layer and is made of anti-corrosion, waterproof and anti-aging composite roll material. The protective layer has a wear-resistant coating and is fixed by pressure strips and fasteners.

[0029] The data processing unit of the control module is connected to the data transmission unit of the data acquisition module to filter, reduce noise, and standardize the acquired data. The linkage control unit is electrically connected to the scheme output unit of the thermodynamic model calculation module, the adjustable insulation component of the insulation execution module, and the electric heating auxiliary component, respectively, to analyze and optimize the scheme and drive the execution components to move. The fault alarm unit of the control module has a built-in audible and visual alarm and a remote push module to monitor the operating status of each module, issue alarm signals, and record fault information.

[0030] Therefore, the linkage control unit of the control module analyzes the optimal insulation scheme and drives the insulation execution module to act: if insulation needs to be enhanced, the drive component of the adjustable insulation component is controlled to push the telescopic insulation unit to contract, increasing the compaction of the insulation layer, or the electric heating auxiliary component is activated; if the insulation strength needs to be adjusted, the telescopic insulation unit is driven to extend, reducing the density of the insulation layer; the basic insulation layer in the layered insulation structure provides the core insulation barrier, the reinforced insulation layer adjusts its thickness and state according to the optimization scheme, and the protective layer protects the insulation system from environmental erosion. All layers work together to achieve precise insulation. The data acquisition module continuously collects the operating parameters after the insulation is executed and feeds them back to the control module and the thermodynamic model calculation module; the model calculation module compares the actual insulation effect with the theoretical optimization target. If there is a deviation due to changes in operating conditions or environment, it recalculates and outputs a new optimization scheme. The control module drives the insulation execution module to adjust, forming a closed-loop optimization; at the same time, the fault alarm unit monitors the operating status of each module in real time, records the optimization log and fault information, and ensures stable system operation and maintains the optimal insulation efficiency in the long term.

[0031] In practical use, operators import the basic parameters of the thermal pipeline, such as pipe diameter, pipe material, and fluid type, as well as design conditions such as rated temperature and rated flow rate, into the thermodynamic model calculation module through the control module. The model building unit calls the basic model library to initialize the heat transfer model. At the same time, the various sensors of the data acquisition module are installed, and the data transmission link is debugged to ensure that data acquisition and transmission are normal. The insulation execution module assembles the basic insulation layer, the reinforced insulation layer, the adjustable insulation components, and the protective layer according to the initial insulation plan to complete the system initialization.

[0032] After the system starts up, the sensors in the data acquisition module work continuously: the pipe internal temperature and pressure sensor collects the real-time temperature and pressure of the fluid; the pipe external wall temperature sensor and the insulation layer humidity sensor collect the pipe wall temperature and insulation material humidity; the ambient temperature, wind speed and precipitation sensors collect external environmental parameters; the data transmission unit encrypts all data and transmits it to the control module, and after being processed by the data processing unit, it is pushed to the thermodynamic model calculation module in real time.

[0033] After receiving real-time data, the thermodynamic model calculation module dynamically corrects the model boundary conditions and updates the personalized thermodynamic model. The numerical calculation unit uses the finite element analysis method to simulate the heat transfer effect of different insulation strategies under the current working conditions and analyzes indicators such as heat loss rate and fluid temperature decay law. The scheme output unit selects the optimal insulation scheme, clarifies the suggestions for adjusting the thickness of the insulation layer, the compaction parameters of the adjustable insulation components, and the start / stop status of the electric heating auxiliary components, and transmits them to the control module.

[0034] The control module parses and optimizes the instructions, driving the insulation execution module to perform actions: adjusting the telescopic insulation unit through the adjustable insulation component's drive mechanism to change the insulation layer's compaction; controlling the start / stop and power adjustment of the electric heating auxiliary component based on changes in ambient temperature and pipe wall temperature; simultaneously, the data acquisition module continuously collects the operating parameters after insulation and feeds them back to the control module and model calculation module. If changes in operating conditions or the environment are detected that cause the insulation effect to deviate from the optimal value, the model calculation module recalculates and outputs a new optimization scheme, and the control module drives the insulation execution module to adjust, achieving dynamic closed-loop optimization.

[0035] During system operation, the fault alarm unit monitors the status of each module in real time and records operating data and optimization logs. Maintenance personnel can view real-time parameters, optimization schemes and fault information through the human-machine interface of the control module. When the insulation layer humidity sensor detects excessive moisture absorption of the material or abnormal sensor data, the system issues an alarm to prompt maintenance personnel to replace the insulation layer or repair the sensor to ensure long-term stable operation of the system.

[0036] In conclusion, the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of the present invention should be included within the protection scope of the present invention.

Claims

1. A thermal pipeline transportation insulation energy efficiency optimization system based on a thermodynamic model, characterized in that: The system includes a data acquisition module, a thermodynamic model calculation module, a thermal insulation execution module, and a control module. The data acquisition module includes sensors for internal pipeline parameters, external pipeline parameters, environmental parameters, and a data transmission unit, which is connected to each sensor. The thermodynamic model calculation module includes a model construction unit, a numerical calculation unit, and a scheme output unit, and is signal-connected to the data acquisition module through the data transmission unit. The thermal insulation execution module includes a basic thermal insulation layer, a reinforced thermal insulation layer, an adjustable thermal insulation component, and a protective layer arranged radially from the inside to the outside of the pipeline. The control module includes a data processing unit, a linkage control unit, and a fault alarm unit, which are electrically connected to the data acquisition module, the thermodynamic model calculation module, and the thermal insulation execution module, respectively.

2. The thermal pipeline transportation insulation energy efficiency optimization system based on a thermodynamic model according to claim 1, characterized in that: The internal parameter sensors of the pipeline include temperature sensors and pressure sensors evenly arranged along the pipeline axis on the inner wall of the pipeline and fixed to the inner wall of the pipeline by welding. The external parameter sensors of the pipeline include an outer wall temperature sensor and an insulation layer humidity sensor. The outer wall temperature sensor is pasted on the outer wall of the pipeline, and the insulation layer humidity sensor is embedded in the insulation layer. The environmental parameter sensors include an environmental temperature sensor, a wind speed sensor, and a precipitation sensor fixed to the outer perimeter of the pipeline by a bracket.

3. The thermal pipeline transportation insulation energy efficiency optimization system based on a thermodynamic model according to claim 2, characterized in that: The data transmission unit is connected to each sensor via signal lines and has a built-in wireless communication module for transmitting the collected parameters to the thermodynamic model calculation module in real time. The transmission process is encrypted. The data transmission unit is also connected to the control module for feedback of sensor operating status data.

4. The thermal pipeline transportation insulation energy efficiency optimization system based on a thermodynamic model according to claim 3, characterized in that: The model building unit of the thermodynamic model calculation module has a built-in basic thermodynamic model library, which is used to import the basic parameters of the pipeline and the real-time operating parameters, dynamically correct the boundary conditions of the model and form a personalized thermodynamic model. The scheme output unit is connected to the control module and is used to output the insulation material combination, insulation layer thickness and insulation structure optimization instructions.

5. The thermal pipeline transportation insulation energy efficiency optimization system based on a thermodynamic model according to claim 4, characterized in that: The basic insulation layer of the insulation execution module is attached to the outer wall of the pipe and is made of aerogel and glass fiber composite. It is fixed to the outer wall of the pipe by adhesive and the joints are sealed with sealant. The reinforced insulation layer is located outside the basic insulation layer and is made of nanocomposite insulation material. A flexible electric heating auxiliary component is embedded inside. The electric heating auxiliary component is electrically connected to the control module.

6. The thermal pipeline transportation insulation energy efficiency optimization system based on a thermodynamic model according to claim 5, characterized in that: The adjustable insulation components of the insulation execution module are evenly distributed along the circumference of the pipeline, including a telescopic insulation unit and a driving component. The telescopic insulation unit is composed of flexible insulation material and a metal telescopic frame. The driving component is a miniature cylinder and is electrically connected to the control module, used to drive the telescopic insulation unit to extend and retract to adjust the compaction of the insulation layer.

7. The thermal pipeline transportation insulation energy efficiency optimization system based on a thermodynamic model according to claim 6, characterized in that: The protective layer of the insulation execution module is wrapped around the outside of the reinforced insulation layer and is made of anti-corrosion, waterproof and anti-aging composite roll material. The protective layer is provided with a wear-resistant coating and is fixed with pressure strips and fasteners.

8. The thermal pipeline transportation insulation energy efficiency optimization system based on a thermodynamic model according to claim 7, characterized in that: The data processing unit of the control module is signal-connected to the data transmission unit of the data acquisition module, and is used to filter, reduce noise and standardize the acquired data. The linkage control unit is electrically connected to the scheme output unit of the thermodynamic model calculation module, the adjustable heat preservation component of the heat preservation execution module and the electric heating auxiliary component, respectively, and is used to analyze the optimization scheme and drive the execution component to act.

9. The thermal pipeline transportation insulation energy efficiency optimization system based on a thermodynamic model according to claim 8, characterized in that: The fault alarm unit of the control module has a built-in audible and visual alarm and a remote push module, which are used to monitor the operating status of each module, issue alarm signals and record fault information.

10. The thermal pipeline transportation insulation energy efficiency optimization system based on a thermodynamic model according to claim 9, characterized in that: The numerical calculation unit of the thermodynamic model calculation module adopts the finite element analysis method to simulate the heat transfer process under different insulation schemes, and compares and analyzes the heat loss rate and fluid temperature decay law. The model calculation module also has a built-in scheme database to store historical calculation data and optimization schemes.

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