Evaluation method and system for performance of cold insulation materials

Abstract

The present invention relates to the technical field of thermal insulation materials, and discloses a method and system for evaluating the performance of cold insulation materials, including: obtaining a laboratory test performance curve of the cold insulation material that changes with time and installation construction level; obtaining the operating index of the equipment insulated by the cold insulation material, and simulating the operating state of the cold insulation material according to the operating index to obtain the uniform performance curve of the cold insulation material; detecting the actual cold insulation performance of the cold insulation material, and calculating the cold insulation performance correction factor of the cold insulation material according to the actual cold insulation performance and the uniform performance curve; and comprehensively evaluating the performance of the cold insulation material according to the laboratory test performance curve, the uniform performance curve and the cold insulation performance correction factor. Through the above technical scheme, the evaluation results of the performance of the cold insulation material by three methods of laboratory testing, theoretical simulation and on-site measurement of the cold insulation material are comprehensively considered, which has high systematicity and operability, and has higher guiding significance and practical value in engineering practice.

Description

Technical Field

[0001] The present invention relates to the technical field of thermal insulation materials, and in particular to a cold insulation material performance evaluation method and evaluation system. Background Art

[0002] Cold insulation is a form of thermal insulation, which is mainly used to isolate the internal low-temperature medium from the surrounding environment, reduce its ineffective cold loss during transportation, maintain the medium process parameters, and meet the needs of production and process.

[0003] There are two main types of cold insulation materials: flexible cold insulation materials and rigid cold insulation materials. The advantage of flexible cold insulation materials is that they fit well with the cold-insulated equipment, so the thermal conductivity is low (usually below 0.03W / (m·K)); the disadvantage is that the material is easy to age, and the cold insulation performance will decrease to a certain extent as the material ages, and the reliability will also decrease accordingly, especially for materials in a deep cold state. Once the material cracks or falls off due to aging or other reasons, the cold-insulated equipment will come into contact with the air, condensation and ice will occur, and the thermal conductivity of ice is as high as 2.2W / (m·K). Therefore, once condensation and ice occur, the cold insulation material is close to failure. It can be seen that it is particularly important to conduct efficient and reliable evaluation of the performance of flexible cold insulation materials.

[0004] At present, the performance evaluation of cold insulation materials is mainly to evaluate them by using the thermal conductivity obtained under experimental or theoretical conditions. It is generally believed that materials with a thermal conductivity below 0.05W / (m·K) have good thermal insulation effects. When the thermal conductivity of the cold insulation material is lower than the set value, the cold insulation material needs to be replaced. This performance evaluation method of cold insulation materials has the following problems: On the one hand, factors such as the construction quality and use environment of the cold insulation material have a great impact on its cold insulation effect. Therefore, there is a certain degree of deviation between the thermal conductivity obtained under experimental or theoretical conditions and the thermal conductivity of the cold insulation material in actual service. On the other hand, after the cold insulation material is put into service, its thermal conductivity will increase to a certain extent due to aging, resulting in a decrease in the overall cold insulation performance of the material. The rate of decrease of its thermal conductivity is nonlinear and may suddenly rise rapidly at a certain moment, causing a large amount of water condensation and ice, resulting in overall failure or causing an accident.

[0005] Therefore, it is not economical, safe and scientific to evaluate the cold insulation materials only by the thermal conductivity under theoretical or experimental conditions and to determine whether to replace the cold insulation materials based on the evaluation results. Summary of the invention

[0006] The purpose of the present invention is to solve or at least partially solve the above technical problems. The present invention provides a cold insulation material performance evaluation method and evaluation system.

[0007] In order to achieve the above-mentioned objectives, the present invention provides a method for evaluating the performance of cold insulation materials, which comprises: obtaining a laboratory test performance curve of the cold insulation material that changes with time and installation construction level; obtaining operating indicators of the equipment insulated by the cold insulation material, and simulating the operating state of the cold insulation material according to the operating indicators to obtain a homogeneous performance curve of the cold insulation material; detecting the actual cold insulation performance of the cold insulation material, and calculating a cold insulation performance correction factor of the cold insulation material according to the actual cold insulation performance and the homogeneous performance curve; and comprehensively evaluating the performance of the cold insulation material according to the laboratory test performance curve, the homogeneous performance curve and the cold insulation performance correction factor.

[0008] Preferably, the method of obtaining the laboratory test performance curve of the cold insulation material that changes with time and installation construction level includes: setting a number of set usage times corresponding to different states for the cold insulation material; obtaining test results of laboratory tests on the cold insulation material when the cold insulation material is in a brand new and unused state and the usage time reaches the states corresponding to the several set usage times; obtaining an installation construction level value determined based on the degree of fit between the cold insulation material and the equipment it is insulating; and generating the laboratory test performance curve based on the test results and the value of the installation construction level.

[0009] Preferably, simulating the operating state of the cold insulation material according to the operating indicators to obtain the uniform performance curve of the cold insulation material includes: determining the operating state of the cold insulation material to be one of the following according to the operating indicators of the equipment insulated by the cold insulation material: normal use state, cold insulation failure state of specific parts, complete icing state of the cold insulation system and large span medium-free state; simulating the cold insulation performance of the cold insulation material in different operating states to obtain corresponding performance curves; and coupling all the obtained performance curves to obtain the uniform performance curve of the cold insulation material.

[0010] Preferably, the detection of the actual cold-keeping performance of the cold-keeping material includes: measuring one or more of the following performance parameters of the cold-keeping material: stress, thermal conductivity, water absorption, shrinkage, apparent density, thermal conductivity, contact angle, compression strength, and thermal weight loss rate; and determining the actual cold-keeping performance of the cold-keeping material based on the measurement results of the performance parameters.

[0011] Preferably, calculating the cold insulation performance correction factor of the cold insulation material based on the actual cold insulation performance and the homogeneous performance curve includes: performing a preliminary evaluation on the performance of the cold insulation material based on the homogeneous performance curve to obtain a first preliminary estimated performance of the cold insulation material; and verifying the first preliminary estimated performance using the actual cold insulation performance, and obtaining the cold insulation performance correction factor of the cold insulation material based on the verification result.

[0012] Preferably, the comprehensive evaluation of the performance of the cold insulation material based on the laboratory test performance curve, the homogeneous performance curve and the cold insulation performance correction factor includes: performing a preliminary evaluation of the performance of the cold insulation material based on the laboratory test performance curve to obtain a second preliminary estimated performance of the cold insulation material; and fusing the first preliminary estimated performance with the second preliminary estimated performance, and correcting the fused result by using the cold insulation performance correction factor to obtain the final performance of the cold insulation material.

[0013] According to a second aspect of the present invention, a cold insulation material performance evaluation system is also provided, and the cold insulation material performance evaluation system includes: an acquisition module, used to obtain a laboratory test performance curve of the cold insulation material that changes with time and installation construction level; a simulation module, used to obtain operating indicators of the equipment insulated by the cold insulation material, and simulate the operating state of the cold insulation material according to the operating indicators to obtain a homogeneous performance curve of the cold insulation material; a detection module, used to detect the actual cold insulation performance of the cold insulation material and calculate the cold insulation performance correction factor of the cold insulation material according to the actual cold insulation performance parameters and the homogeneous performance curve parameters; and an evaluation module, used to comprehensively evaluate the performance of the cold insulation material according to the laboratory test performance curve, the homogeneous performance curve and the cold insulation performance correction factor.

[0014] Preferably, the acquisition module includes: a setting submodule, used to set a number of set usage times corresponding to different states for the cold insulation material; a first acquisition submodule, used to obtain the test results of laboratory tests on the cold insulation material when the cold insulation material is in a brand new and unused state and the usage time reaches the corresponding states of the several set usage times; a second acquisition submodule, used to obtain an installation construction level value determined based on the degree of fit between the cold insulation material and the equipment it insulates; and a generation submodule, used to generate the laboratory test performance curve based on the test results and the value of the installation construction level.

[0015] Preferably, the simulation module includes: a state confirmation submodule, which is used to determine the operating state of the cold insulation material as one of the following according to the operating indicators of the equipment insulated by the cold insulation material: normal use state, cold insulation failure state of specific parts, complete icing state of the cold insulation system and large span medium-free state; a simulation submodule, which is used to simulate the cold insulation performance of the cold insulation material in different operating states to obtain corresponding performance curves; and a coupling submodule, which is used to couple all the acquired performance curves to obtain a uniform performance curve of the cold insulation material.

[0016] Preferably, the detection module includes: a detection device for measuring one or more of the following performance parameters of the cold insulation material: stress, thermal conductivity, water absorption, shrinkage, apparent density, thermal conductivity, contact angle, compression strength, and thermal weight loss rate; and a determination submodule for determining the actual cold insulation performance of the cold insulation material based on the measurement results of the performance parameters.

[0017] Preferably, the detection module also includes: a first evaluation submodule, used to perform a preliminary evaluation on the performance of the cold insulation material based on the uniform performance curve to obtain a first preliminary estimated performance of the cold insulation material; and a calculation submodule, used to verify the first preliminary estimated performance using the actual cold insulation performance, and obtain the cold insulation performance correction factor of the cold insulation material according to the verification result.

[0018] Preferably, the evaluation module includes: a second evaluation submodule, used to perform a preliminary evaluation on the performance of the cold insulation material based on the laboratory test performance curve to obtain a second preliminary estimated performance of the cold insulation material; and a correction submodule, used to merge the first preliminary estimated performance with the second preliminary estimated performance, and correct the merged result through the cold insulation performance correction factor to obtain the final performance of the cold insulation material.

[0019] According to a third aspect of the present invention, there is provided a machine-readable storage medium having stored thereon instructions for enabling the machine-readable storage medium to execute the above-mentioned cold-insulation material performance evaluation method.

[0020] Through the above technical scheme, the present invention comprehensively considers three methods of laboratory testing, theoretical simulation, and on-site measurement for the performance of cold insulation materials, so that the three methods are cross-parallel, complementary, and mutually verified, thereby obtaining more accurate and comprehensive evaluation results, and guiding enterprises using cold insulation materials to conduct a comprehensive evaluation of the performance and reliability of the cold insulation materials, which has high systematicity and operability, and has higher guiding significance and practical value in engineering practice.

[0021] Other features and advantages of the embodiments of the present invention will be described in detail in the subsequent detailed description. BRIEF DESCRIPTION OF THE DRAWINGS

[0022] The accompanying drawings are used to provide a further understanding of the embodiments of the present invention and constitute a part of the specification. Together with the following specific embodiments, they are used to explain the embodiments of the present invention, but do not constitute a limitation on the embodiments of the present invention. In the drawings:

[0023] Figure 1 is a flow chart of a method for evaluating the performance of cold insulation materials provided by an embodiment of the present invention;

[0024] Figure 2 is a block diagram of a cold insulation material performance evaluation system provided by an embodiment of the present invention;

[0025] Figure 3 is a block diagram of an acquisition module of a cold insulation material performance evaluation system provided by an embodiment of the present invention; and

[0026] Figure 4 is a block diagram of a simulation module of a cold insulation material performance evaluation system provided by an embodiment of the present invention;

[0027] Figure 5 It is a flow chart of a specific application example of the cold insulation material performance evaluation method provided in an embodiment of the present invention.

[0028] Description of Reference Numerals

[0029] 1. Acquisition module 2. Simulation module

[0030] 3. Detection module 4. Evaluation module

[0031] 11. Setting submodule 12. First acquisition submodule

[0032] 13. Second acquisition submodule 14. Generation submodule

[0033] 21. Status confirmation submodule 22. Simulation submodule

[0034] 23. Coupling submodule DETAILED DESCRIPTION

[0035] The specific implementation of the present invention is described in detail below in conjunction with the accompanying drawings. It should be understood that the specific implementation described here is only used to illustrate and explain the present invention, and is not used to limit the present invention.

[0036] It should be noted that the "cold preservation" referred to in the cold-insulating materials, cold-insulating performance, etc. described in the present invention has the same meaning as the commonly referred to "warmth preservation", both of which refer to reducing the heat transfer between objects. As the name implies, warmth preservation refers to reducing the transfer of heat from the equipment or object being insulated to the outside world. Cold preservation refers to reducing the transfer of heat from the outside world to the inside of the equipment or object being insulated. Usually, the thermal insulation material refers to the material with a guiding thermal coefficient less than or equal to 0.12. Of course, in the present invention, the evaluation of the performance and reliability of the cold insulation material, in addition to considering the thermal conductivity of the material, also considers other parameters such as the water absorption rate and shrinkage rate of the cold insulation material.

[0037] In addition, the cold insulation materials mentioned in the present invention all refer to flexible cold insulation materials, and in-service cold insulation materials refer to cold insulation materials that are in use. The cold insulation material performance evaluation method and evaluation system in the present invention are used to evaluate their cold insulation performance and reliability, so as to guide enterprises to take measures such as partial replacement, full replacement or repair of cold insulation materials, thereby ensuring the reliability and stability of the cold insulation materials and the equipment they insulate, achieving energy-saving and consumption-reduction effects, saving cold insulation material resources, and reducing enterprise production costs.

[0038] Embodiment 1

[0039] Figure 1 is a flow chart of a method for evaluating the performance of cold insulation materials provided in Example 1 of the present invention. Figure 1 As shown, the cold insulation material performance evaluation method may include the following steps:

[0040] S100. Obtain laboratory test performance curves of cold insulation materials that change with time and installation construction level.

[0041] In a preferred embodiment of the present invention, several set usage times corresponding to different states are set for the cold insulation material; when the cold insulation material is in a brand new and unused state and the usage time reaches the states corresponding to several set usage times, the test results of the laboratory test on the cold insulation material are obtained respectively; the value of the installation construction level determined based on the degree of fit between the cold insulation material and the equipment it insulates is obtained; and based on the test results and the value of the installation construction level, a laboratory test performance curve is generated.

[0042] Specifically, the laboratory test performance of the cold insulation material can be obtained when the cold insulation material is brand new and has been used for half a year, one year, nine months, twelve months and other time points. After data processing, the laboratory test performance curve of the cold insulation material can be obtained.

[0043] For example, for the same cold insulation material, a brand new cold insulation material and an in-service cold insulation material that has been removed after a set period of use are taken out. After systematic laboratory testing, a series of laboratory performance parameters such as water absorption a, shrinkage b, apparent density c, thermal conductivity d, contact angle e, compression strength f, and thermal weight loss g are obtained for the two materials. Among them, water absorption a refers to the mass ratio of water that can be absorbed by a unit volume of cold insulation material in an excess water environment, which is a dimensionless quantity; shrinkage b refers to the linear ratio of the cold insulation material's shrinkage in all directions (length, width, and height) under deep cold conditions, which is dimensionless; apparent density c refers to the macroscopic density of the cold insulation material. The mass of the cold insulation material is divided by the volume to obtain the apparent density, and the unit is kg / m 3 ; Thermal conductivity d refers to the ability of the cold insulation material to transfer heat, with the unit of W / m*K; contact angle e refers to the contact angle of the liquid on the surface of the cold insulation material, a performance parameter used to determine whether the material is hydrophobic. If it is less than 90°, the surface of the cold insulation material is considered to be hydrophilic, and if it is greater than 90°, the surface of the cold insulation material is considered to be hydrophobic; compression strength f refers to the ability of the cold insulation material to resist pressure, that is, the maximum compression stress that the cold insulation material can withstand when it yields, with the unit of MPa; thermal weight loss rate g refers to the thermal stability of the cold insulation material, which tests the thermal degradation temperature of the material and obtains the mass residual rate of the material, and is a dimensionless quantity.

[0044] Furthermore, the value of the installation and construction level of the cold insulation material is determined based on the degree of fit between the in-service cold insulation material and the equipment it insulates. Since the more complex the structure of the equipment (mainly referring to the outer surface structure of the equipment), the more difficult it is to fit the cold insulation material to the equipment it insulates. Therefore, the value of the installation and construction level can be determined by evaluating the degree of fit between the in-service cold insulation material and the equipment it insulates based on the structure of the equipment insulated by the cold insulation material (for example: cylindrical, square structure, irregular structure, etc.), the number of corners, the bending angle, etc. In addition, the degree of fit between the cold insulation material and the equipment it insulates can be calculated by detecting the size of the equipment after the cold insulation material is set, combined with the size of the equipment body and the thickness of the cold insulation material. And, the value of the determined installation and construction level can be revised based on the skill level of the cold insulation material installation and construction personnel, installation tools, etc.

[0045] According to the results of different laboratory test parameters (including: a, b, c...g, etc.) and the value of installation and construction level, after comprehensive data simulation analysis, the correlation between the above indicators and the service time α and the installation and construction level value β is determined, and the service time correction factor α and the installation and construction level correction factor β are used to correct f(x), and finally the curves of each laboratory performance parameter are fitted. The laboratory test performance curve of the cold insulation material changing with time and installation and construction level conditions is generated as shown in Formula 1 below:

[0046] f(x)=f(α·β(a, b, c...j)) Formula 1

[0047] Among them, α represents the service time correction factor, which refers to the correction of the function based on the specific value determined according to the service time of the cold insulation material, where the service time refers to the service time of the cold insulation material calculated from the time the cold insulation material is installed and put into use.

[0048] β, which represents the installation and construction level correction factor, determines the corresponding value after comprehensively considering the installation and construction level.

[0049] f(x) represents the laboratory test performance of the cold insulation material.

[0050] S200, obtaining operating indicators of a device that is insulated by a cold-insulating material, and simulating the operating state of the cold-insulating material according to the operating indicators to obtain a uniform performance curve of the cold-insulating material.

[0051] In a preferred embodiment of the present invention, the operating state of the cold insulation material is determined to be one of the following based on the operating indicators of the equipment insulated by the cold insulation material: normal use, failure of cold insulation in specific parts, complete freezing of the cold insulation system, and a large span without medium.

[0052] Specifically, during the use of cold insulation materials, the performance of the cold insulation materials themselves (for example, thermal conductivity, water absorption and other parameters of new cold insulation materials) determines the initial level of the cold insulation materials, and the installation and construction level determines the initial state of using the cold insulation materials for equipment or pipelines. As the service time goes by, the cold insulation performance will begin to decline. For cold insulation materials with basically the same use time in the same plant area, the operating state of the cold insulation materials can be determined based on the actual operating conditions, and the operating state of the cold insulation materials can be determined as one of normal use, failure of cold insulation in specific parts, complete icing of the cold insulation system, and no medium in a large span.

[0053] Among them, the state of normal use of cold insulation materials is represented by A. The state of cold insulation failure in specific parts of cold insulation materials is represented by B, for example: the cold insulation material obviously falls off at the elbow of the insulated equipment or pipeline. The state of the entire cold insulation system of cold insulation materials is represented by C, for example: due to the damage or cracking of the insulated equipment or pipeline, the water vapor or rainwater in the air condenses into ice when it is cold, and fills the space of the entire cold insulation system. The state of the cold insulation material with a large span and no medium is represented by D, where a large span means that the span of the pipeline exceeds ten times its own diameter, and no medium means that there is no content in the pipeline, so there is no cold source. If the outer shell is cracked or damaged, it will accumulate in the cold insulation system when it encounters rain, and there is a risk of pipeline corrosion.

[0054] For example, the mechanical parameters, medium parameters, operating conditions and other operating indicators of the equipment insulated by the cold insulation material to be evaluated are obtained, and the numerical analysis method is applied, combined with the laboratory test performance curve of the cold insulation material in step S100, to simulate the cold insulation performance of the cold insulation material in different operating states, and the system analyzes the equipment body state and cold insulation effect under a series of states such as A normal use state of the cold insulation material, B failure state of the cold insulation material in a specific part, C complete icing state of the cold insulation system, and D large span no medium state, to evaluate the use performance and reliability of the cold insulation material, so as to obtain the performance curve corresponding to the cold insulation material in different operating states.

[0055] Furthermore, the simulated performance curves corresponding to the cold-insulating materials in different operating states are coupled to obtain a uniform performance curve of the cold-insulating materials in multi-state coupling as shown in Formula 2. During the coupling process, the proportion of the performance index of the cold-insulating state when the cold-insulating material is in each state can be determined in combination with actual conditions, and the present invention is not limited thereto.

[0056] F(y)=F(A,B,C…J) Formula 2

[0057] Among them, F(y) represents the homogeneous performance of the multi-state coupled cold insulation material.

[0058] S300, detecting the actual cold-keeping performance of the cold-keeping material, and calculating the cold-keeping performance correction factor of the cold-keeping material according to the actual cold-keeping performance and the uniform performance curve. In an embodiment of the present invention, the actual cold-keeping performance of the cold-keeping material at the corresponding part of the on-site equipment to be evaluated can be detected by a series of technical means such as infrared scanning and stress detection. Mainly measure one or more of the following performance parameters of the cold-keeping material: stress, thermal conductivity, water absorption, shrinkage, apparent density, thermal conductivity, contact angle, compression strength, and thermal weight loss rate. Based on the measurement results of the performance parameters, determine the actual cold-keeping performance of the cold-keeping material.

[0059] Preferably, calculating the cold insulation performance correction factor of the cold insulation material in step S300 may include: performing a preliminary evaluation on the performance of the cold insulation material based on the homogeneous performance curve to obtain a first preliminary estimated performance of the cold insulation material; and verifying the first preliminary estimated performance using the actual cold insulation performance, and obtaining the cold insulation performance correction factor of the cold insulation material according to the verification result.

[0060] For example, combined with the actual cold-keeping performance of the cold-keeping material obtained based on actual measurements in step S300, the first preliminary estimated performance (for example, F(y) in Formula 2) obtained based on the uniform performance curve of the cold-keeping material in step S200 is corrected to obtain a cold-keeping performance correction factor γ of the cold-keeping material.

[0061] S400, evaluate the performance of cold insulation materials based on laboratory test performance curves, uniform performance curves and cold insulation performance correction factors.

[0062] Preferably, step 400 may include: performing a preliminary evaluation on the performance of the cold insulation material based on the laboratory test performance curve to obtain a second preliminary estimated performance of the cold insulation material; and fusing the first preliminary estimated performance with the second preliminary estimated performance, and correcting the fused result by the cold insulation performance correction factor to obtain the final performance of the cold insulation material.

[0063] For example, based on the above-obtained cold insulation performance correction factor γ and Formula 2, the performance and reliability evaluation results of the cold insulation material shown in Formula 3 below can be finally obtained.

[0064] F(z)=f(x)·F(y)·γ Formula 3

[0065] Among them, f(x) represents the laboratory test performance of the cold insulation material;

[0066] F(y), represents the homogeneous performance of the multi-state coupled cold insulation material;

[0067] γ, represents the correction factor of the cold insulation performance of the cold insulation material;

[0068] F(Z) represents the comprehensive index for the final performance and reliability evaluation of cold insulation materials.

[0069] For example, when comprehensively evaluating the cold-keeping performance of cold-keeping materials, the comprehensive evaluation coefficient is set to 100%, wherein the laboratory test performance curve obtained according to step S100 is used as the core basic data, and the weight of the evaluation coefficient in the comprehensive evaluation coefficient (corresponding to the second preliminary estimated performance) is 40%; the homogeneous performance curve obtained according to step S200 can be used to obtain the average application level of this type of material in the enterprise, that is, the homogeneous performance curve, which is used as the update data for weighted update of the S100 result, and the weight of the evaluation coefficient in the comprehensive evaluation coefficient (corresponding to the first preliminary estimated performance) is 20%; according to the actual test results obtained in S300, the above results are weightedly corrected as a posteriori data, and the weight of the evaluation coefficient in the comprehensive evaluation coefficient is 40%. In this way, after weighted calculation of the evaluation results obtained according to steps S100, S200, and S300, a more objective cold-keeping material performance evaluation result is obtained.

[0070] Embodiment 2

[0071] Figure 2 is a block diagram of a cold insulation material performance evaluation system provided by an embodiment of the present invention, such as Figure 2As shown, the cold insulation material performance evaluation system includes: an acquisition module 1, which is used to obtain the laboratory test performance curve of the cold insulation material that changes with time and installation construction level; a simulation module 2, which is used to obtain the operating indicators of the equipment insulated by the cold insulation material, and simulate the uniform performance curve of the cold insulation material according to the operating indicators; a detection module 3, which is used to detect the actual cold insulation performance of the cold insulation material and calculate the cold insulation performance correction factor of the cold insulation material according to the actual cold insulation performance and the uniform performance curve; and an evaluation module 4, which is used to evaluate the performance of the cold insulation material according to the laboratory test performance curve, the uniform performance curve and the cold insulation performance correction factor.

[0072] Figure 3 is a block diagram of an acquisition module of a cold insulation material performance evaluation system provided by an embodiment of the present invention, such as Figure 3 As shown, the acquisition module 1 includes: a setting submodule 11, which is used to set a number of set usage times corresponding to different states for the cold insulation material; a first acquisition submodule 12, which is used to obtain the test results of the laboratory test on the cold insulation material when the cold insulation material is in a brand new and unused state and the usage time reaches the corresponding state of several set usage times; a second acquisition submodule 13, which is used to obtain the installation construction level value determined based on the degree of fit between the cold insulation material and the equipment it insulates; and a generation submodule 14, which is used to generate a laboratory test performance curve based on the test results and the value of the installation construction level.

[0073] Figure 4 is a block diagram of a simulation module of a cold insulation material performance evaluation system provided by an embodiment of the present invention, such as Figure 4 As shown, the simulation module 2 includes: a state confirmation submodule 21, which is used to determine the operating state of the cold insulation material as one of the following according to the operating indicators of the equipment insulated by the cold insulation material: normal use, failure of cold insulation in a specific part, complete icing of the cold insulation system, and a large span without medium state; a simulation submodule 22, which is used to simulate the cold insulation performance of the cold insulation material in different operating states to obtain the performance curves of the cold insulation material in different operating states; and a coupling submodule 23, which is used to couple the simulated performance curves corresponding to the cold insulation material in different operating states to obtain the uniform performance curve of the cold insulation material.

[0074] Preferably, the detection module 3 includes: a detection device (not shown in the figure), used to measure one or more of the following performance parameters of the cold insulation material: stress, thermal conductivity, water absorption, shrinkage, apparent density, thermal conductivity, contact angle, compression strength, thermal weight loss rate; and a determination submodule, used to determine the actual cold insulation performance of the cold insulation material based on the measurement results of the performance parameters.

[0075] In a preferred embodiment, the detection module 3 further includes: a first evaluation submodule, for performing a preliminary evaluation on the performance of the cold insulation material based on the homogeneous performance curve to obtain a first preliminary estimated performance of the cold insulation material; and a calculation submodule, for verifying the first preliminary estimated performance using the actual cold insulation performance, and obtaining the cold insulation performance correction factor of the cold insulation material according to the verification result. Accordingly, the evaluation module 4 preferably includes: a second evaluation submodule, for performing a preliminary evaluation on the performance of the cold insulation material based on the laboratory test performance curve to obtain a second preliminary estimated performance of the cold insulation material; and a correction submodule, for fusing the first preliminary estimated performance with the second preliminary estimated performance, and correcting the fused result by the cold insulation performance correction factor to obtain the final performance of the cold insulation material.

[0076] Other specific implementation details and beneficial effects of the cold insulation material performance evaluation system are the same as those of the above-mentioned material cold insulation performance evaluation method, and will not be repeated here.

[0077] Embodiment 3

[0078] The following is an example of a specific application of the cold insulation material performance evaluation method and system of the present invention in a certain LNG enterprise to illustrate the cold insulation material performance evaluation method provided by the embodiment of the present invention.

[0079] Due to the needs of the production process, a large number of pipelines and equipment are in a deep-freeze state of -160°C. In order to ensure the stability and reliability of the production equipment while saving energy and reducing consumption, flexible cold insulation is used to insulate the pipelines. After the cold insulation system has been used for several years, the cold insulation performance has declined, and there have been phenomena such as a large amount of ice and bubbling on the pipelines, and the cold insulation has fallen off. In order to confirm the energy efficiency and reliability of the cold insulation system and guide the maintenance or replacement of cold insulation materials, the performance and reliability evaluation of in-service flexible cold insulation materials was carried out according to the cold insulation material performance evaluation method provided in the embodiment of the present invention.

[0080] Figure 5 1 is a flowchart of a specific application example of the cold insulation material performance evaluation method provided by an embodiment of the present invention. Figure 5 As shown, the following steps may be included:

[0081] S1. Obtain the basic parameters of the cold-insulating material and the operating parameters of the cold-insulating equipment.

[0082] Specifically, the following data are collected: 1. Operating parameters of the equipment to be evaluated, including equipment material, temperature, pressure, medium, size, etc.; 2. Rated performance parameters of the cold insulation materials to be evaluated (for example: water absorption, shrinkage, thermal conductivity, etc.) and on-site operating temperature; 3. On-site usage status of the cold insulation system. On-site surveys are conducted to confirm the installation status and current usage status of the cold insulation system to be evaluated.

[0083] The pipeline data of four units that needed to be evaluated for cold insulation performance were determined on site, and a site survey was conducted to understand the current status of the company's cold insulation system. The cold insulation materials included in the cold insulation system to be evaluated, as well as the equipment or pipelines it insulated, were determined.

[0084] For the cold-insulating material to be evaluated determined in step S1, the following steps are performed:

[0085] S21. Laboratory testing of cold insulation material performance; S22. Cold insulation material performance analysis; S23. Obtaining laboratory test performance curves of cold insulation materials.

[0086] Specifically, laboratory performance tests were conducted on new and in-service cold insulation materials respectively, and the data of the two were compared. Combined with the usage status of on-site surveys, the correlation between the performance of cold insulation materials and service time and construction quality was obtained, and the laboratory test performance curve of the cold insulation materials was generated.

[0087] Laboratory tests were conducted on in-service and new cold insulation materials, and the following conclusions were drawn from the analysis: ① The shrinkage rate of this material is high (6%-15%), and long-term use will cause the cold insulation to separate from the outer cover, the cold insulation to crack, etc. The resulting gaps will freeze and seriously reduce performance and reliability; ② The in-service cold insulation materials have obviously experienced aging phenomena such as increased apparent density (about 20%), pore shrinkage, and increased compression strength (about 80%), which is related to the rubber-like material of the cold insulation material itself; ③ The thermal conductivity of the in-service cold insulation material is significantly higher than that of the new one (increased by about 30%). Based on the results obtained in the laboratory, the laboratory test performance evaluation of the cold insulation material was carried out in combination with Formula 1.

[0088] For the equipment or pipeline insulated by the cold insulation material to be evaluated determined in step S1, the following steps are performed in sequence:

[0089] S31, simulating the uniform performance of the cold-insulating material; S32, obtaining the uniform performance curve.

[0090] Specifically, numerical simulation is performed on the parameters of the equipment or pipelines insulated by the cold insulation material, a series of failure conditions are designed, and the cold loss and stress under each condition are simulated and analyzed to obtain the homogeneous performance curve of the cold insulation material, so as to make a preliminary evaluation of the cold insulation performance and reliability.

[0091] Combined with Equation 2, numerical simulation was performed on the pipeline and its auxiliary cold insulation system to be evaluated, and the following conclusions were drawn: ① The cold loss of the pipeline cold insulation system increased (about 1.8×10 3 W / m2), the performance is degraded; ② Pipeline icing causes the stress of the pipeline body to increase and the reliability to decrease.

[0092] Based on the homogeneous properties of the cold-insulating material obtained in steps S31 and S32, the following steps are performed in sequence:

[0093] S41. Verification of cold-keeping performance; S42. Calculation of cold-keeping performance correction factor of cold-keeping materials.

[0094] Specifically, for the homogeneous performance curve of the cold insulation material obtained in step S32, according to the operating state of the cold insulation material targeted by the homogeneous performance curve, a detection equipment is used to detect the actual cold insulation performance of the cold insulation material on site. If the test result obtained is consistent with the result obtained by simulation in step S32 (the numerical difference is within the set threshold range), step S42 is executed; if it is inconsistent, return to step S31 to re-simulate the homogeneous performance of the cold insulation performance until the simulation and actual detection results are consistent.

[0095] Combined with the above formula 2 and formula 3, the cold insulation performance of the selected pipeline to be evaluated was verified on site. The results of the numerical simulation were confirmed by means of infrared temperature measurement, level measurement, non-destructive testing and other means. It was concluded that the flexible cold insulation system used by the company had a serious decline in performance and reliability.

[0096] According to the laboratory test performance curve of the cold-insulating material obtained in step S23, the homogeneous performance curve of the cold-insulating material obtained in step S32, and the cold-insulating performance correction factor obtained in step S42, the following step S5 is performed.

[0097] S5. Comprehensively evaluate the performance and reliability of cold insulation materials.

[0098] Based on the results of comprehensive laboratory tests, numerical simulation of the homogeneous performance curve of cold insulation materials, and detection using detection equipment, the comprehensive performance and reliability evaluation results of cold insulation materials were given, and a comprehensive performance and reliability evaluation report of cold insulation materials was issued to the enterprise, including the unreasonable selection of equipment cold insulation materials themselves, and the issues that need to be paid attention to during the construction of cold insulation materials installation, etc. The company was guided to replace cold insulation materials worth tens of millions of yuan, providing strong guarantees for the cold insulation effect of the company's equipment, thereby ensuring the company's safe production.

[0099] Embodiment 4

[0100] A fourth embodiment of the present invention provides a machine-readable storage medium, on which instructions are stored, and the instructions are used to enable a machine to execute any of the above-mentioned cold insulation material performance evaluation methods.

[0101] Each embodiment of the present invention comprehensively considers the evaluation results of the performance of cold insulation materials by laboratory testing, theoretical simulation, and on-site measurement of cold insulation materials, adopts a method of cross-parallel, mutual complementation, and mutual verification of multiple cold insulation performance evaluation methods, and guides enterprises using cold insulation materials to conduct a comprehensive evaluation of the performance and reliability of cold insulation materials. It is highly comprehensive, systematic, and operational, and has higher guiding significance and practical value in engineering practice.

[0102] The optional implementation modes of the embodiments of the present invention are described in detail above in conjunction with the accompanying drawings. However, the embodiments of the present invention are not limited to the specific details in the above implementation modes. Within the technical concept of the embodiments of the present invention, various simple modifications can be made to the technical scheme of the embodiments of the present invention, and these simple modifications all belong to the protection scope of the embodiments of the present invention.

[0103] It should also be noted that the various specific technical features described in the above specific embodiments can be combined in any suitable manner without contradiction. To avoid unnecessary repetition, the embodiments of the present invention will not further describe various possible combinations.

[0104] Those skilled in the art can understand that all or part of the steps in the above-mentioned embodiment method can be completed by instructing the relevant hardware through a program, and the program is stored in a storage medium, including several instructions for making a single-chip microcomputer, a chip or a processor (processor) execute all or part of the steps in each embodiment method of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk and other media that can store program codes.

[0105] In addition, various implementation modes of the embodiments of the present invention may be arbitrarily combined, and as long as they do not violate the concept of the embodiments of the present invention, they should also be regarded as the contents disclosed by the embodiments of the present invention.

Claims

1. A method for evaluating the performance of cold insulation materials, characterized in that: The cold insulation material performance evaluation method comprises: Obtaining a laboratory test performance curve of the cold insulation material as it changes with time and installation construction level; Obtaining operating indicators of the equipment insulated by the cold-insulating material, and simulating the operating state of the cold-insulating material according to the operating indicators to obtain a uniform performance curve of the cold-insulating material; Detecting the actual cold insulation performance of the cold insulation material, and calculating the cold insulation performance correction factor of the cold insulation material according to the actual cold insulation performance and the homogeneous performance curve, including: preliminarily evaluating the performance of the cold insulation material based on the homogeneous performance curve to obtain a first preliminary estimated performance of the cold insulation material; and verifying the first preliminary estimated performance using the actual cold insulation performance, and obtaining the cold insulation performance correction factor of the cold insulation material according to the verification result; and The performance of the cold insulation material is comprehensively evaluated based on the laboratory test performance curve, the uniform performance curve and the cold insulation performance correction factor, including: performing a preliminary evaluation on the performance of the cold insulation material based on the laboratory test performance curve to obtain a second preliminary estimated performance of the cold insulation material; and fusing the first preliminary estimated performance with the second preliminary estimated performance, and correcting the fused result by the cold insulation performance correction factor to obtain the final performance of the cold insulation material.

2. The cold insulation material performance evaluation method according to claim 1, characterized in that: The method of obtaining the laboratory test performance curve of the cold insulation material changing with time and installation construction level includes: For the cold-keeping material, a plurality of set use times corresponding to different states are set; When the cold-insulating material is in a brand-new and unused state and the usage time reaches the states corresponding to the several set usage time, respectively obtaining the test results of the laboratory test on the cold-insulating material; Obtaining an installation construction level value determined based on the degree of fit between the cold insulation material and the equipment being insulated; and The laboratory test performance curve is generated according to the test results and the installation construction level value.

3. The cold insulation material performance evaluation method according to claim 1, characterized in that: According to the operating index, simulating the operating state of the cold-insulating material to obtain a uniform performance curve of the cold-insulating material includes: According to the operating index of the equipment insulated by the cold insulation material, the operating state of the cold insulation material is determined to be one of the following: normal use state, cold insulation failure state of a specific part, complete icing state of the cold insulation system, and large span state without medium; Simulating the cold-insulating performance of the cold-insulating material in different operating states to obtain corresponding performance curves; and All the acquired performance curves are coupled to obtain a homogeneous performance curve of the cold insulation material.

4. The cold insulation material performance evaluation method according to claim 1, characterized in that: The detecting of the actual cold-keeping performance of the cold-keeping material comprises: Measuring one or more of the following performance parameters of the cold-insulating material: stress, thermal conductivity, water absorption, shrinkage, apparent density, thermal conductivity, contact angle, compressive strength, and thermal weight loss rate; and Based on the measurement results of the performance parameters, the actual cold-keeping performance of the cold-keeping material is determined.

5. A cold insulation material performance evaluation system, characterized in that: The cold insulation material performance evaluation system comprises: An acquisition module, used to obtain a laboratory test performance curve of the cold insulation material that changes with time and installation construction level; A simulation module, used to obtain operating indicators of the equipment insulated by the cold-insulating material, and simulate the operating state of the cold-insulating material according to the operating indicators to obtain a uniform performance curve of the cold-insulating material; a detection module, used to detect the actual cold-insulating performance of the cold-insulating material, and calculate the cold-insulating performance correction factor of the cold-insulating material according to the actual cold-insulating performance and the homogeneous performance curve, wherein the detection module comprises: a first evaluation submodule, used to perform a preliminary evaluation on the performance of the cold-insulating material based on the homogeneous performance curve to obtain a first preliminary estimated performance of the cold-insulating material; and a calculation submodule, used to verify the first preliminary estimated performance using the actual cold-insulating performance, and obtain the cold-insulating performance correction factor of the cold-insulating material according to the verification result; and An evaluation module is used to comprehensively evaluate the performance of the cold insulation material based on the laboratory test performance curve, the uniform performance curve and the cold insulation performance correction factor, wherein the evaluation module includes: a second evaluation submodule, used to perform a preliminary evaluation on the performance of the cold insulation material based on the laboratory test performance curve to obtain a second preliminary estimated performance of the cold insulation material; and a correction submodule, used to merge the first preliminary estimated performance with the second preliminary estimated performance, and correct the merged result through the cold insulation performance correction factor to obtain the final performance of the cold insulation material.

6. The cold insulation material performance evaluation system according to claim 5, characterized in that: The acquisition module comprises: A setting submodule, used for setting a plurality of set use times corresponding to different states for the cold-insulating material; A first acquisition submodule is used to respectively acquire the test results of the laboratory test on the cold-insulating material when the cold-insulating material is in a brand-new unused state and the usage time reaches the corresponding state of the several set usage time; A second acquisition submodule is used to obtain an installation construction level value determined based on the degree of fit between the cold-insulating material and the equipment it is cold-insulating; and The generation submodule is used to generate the laboratory test performance curve according to the test results and the installation construction level value.

7. The cold insulation material performance evaluation system according to claim 5, characterized in that: The simulation module comprises: A state confirmation submodule is used to determine, according to the operating indicators of the equipment insulated by the cold insulation material, that the operating state of the cold insulation material is one of the following: normal use state, cold insulation failure state of a specific part, complete icing state of the cold insulation system, and large span state without medium; a simulation submodule, for simulating the cold-keeping performance of the cold-keeping material in different operating states to obtain corresponding performance curves; and The coupling submodule is used to couple all the acquired performance curves to obtain a uniform performance curve of the cold insulation material.

8. The cold insulation material performance evaluation system according to claim 5, characterized in that: The detection module also includes: A detection device for measuring one or more of the following performance parameters of the cold-insulating material: stress, thermal conductivity, water absorption, shrinkage, apparent density, thermal conductivity, contact angle, compression strength, and thermal weight loss rate; and The determination submodule is used to determine the actual cold-keeping performance of the cold-keeping material based on the measurement result of the performance parameter.

9. A machine-readable storage medium having instructions stored thereon, the instructions being used to enable a machine to execute the cold-insulation material performance evaluation method according to any one of claims 1 to 4.

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