阅读说明：本技术 保冷材料性能评估方法及评估系统 (Cold insulation material performance evaluation method and evaluation system ) 是由 刘曦泽 邱枫 许可 屈定荣 张艳玲 于 2020-04-10 设计创作，主要内容包括：本发明涉及材料绝热技术领域,公开了一种保冷材料性能评估方法及评估系统,包括：获取保冷材料随时间和安装施工水平变化的实验室测试性能曲线；获取保冷材料所保冷的设备的运行指标,并根据运行指标,模拟所述保冷材料的运行状态以获取所述保冷材料的均态性能曲线；检测保冷材料的实际保冷性能,根据实际保冷性能和均态性能曲线,测算保冷材料的保冷性能修正因子；以及根据实验室测试性能曲线、均态性能曲线和保冷性能修正因子,对保冷材料的性能进行综合评估。通过上述技术方案,综合考虑保冷材料的实验室测试、理论模拟、现场实测三种方式对保冷材料性能的评价结果,具有较高的系统性、可操作性,在工程实践中具有更高的指导意义和实用价值。(The invention relates to the technical field of material heat insulation, and discloses a cold insulation material performance evaluation method and an evaluation system, which comprise the following steps: acquiring a laboratory test performance curve of the cold insulation material along with the change of time and the installation and construction level; acquiring an operation index of equipment for cold insulation of a cold insulation material, and simulating an operation state of the cold insulation material according to the operation index to acquire 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. By the technical scheme, the evaluation results of the cold insulation material performance in three modes of laboratory test, theoretical simulation and field actual measurement of the cold insulation material are comprehensively considered, and the method has high systematicness and operability, and has high guiding significance and practical value in engineering practice.)

1. A cold insulation material performance evaluation method is characterized by comprising the following steps:

acquiring a laboratory test performance curve of the cold insulation material along with the change of time and the installation and construction level;

acquiring an operation index of equipment cooled by the cold insulation material, and simulating the operation state of the cold insulation material according to the operation index to acquire a homogeneous performance curve of the cold insulation material;

detecting the actual cold insulation performance of the cold insulation material, and measuring 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

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.

2. The cold-insulation material performance evaluation method according to claim 1, wherein the obtaining of the laboratory test performance curve of the cold-insulation material as a function of time and installation and construction level comprises:

setting a plurality of set use times corresponding to different states for the cold insulation material;

when the cold insulation material is in a brand new unused state and the use time respectively reaches the state corresponding to the plurality of set use times, respectively obtaining test results of laboratory tests on the cold insulation material;

acquiring an installation construction level value determined based on the fitting degree of the cold insulation material and the cold insulation equipment; and

and generating the laboratory test performance curve according to the test result and the installation and construction level value.

3. The method for evaluating the performance of the cold-insulation material according to claim 1, wherein the step of simulating the operation state of the cold-insulation material to obtain the homogeneous performance curve of the cold-insulation material according to the operation index comprises the following steps:

according to the operation index of the equipment cooled by the cold insulation material, determining the operation state of the cold insulation material to be one of the following: the system comprises a normal use state, a cold insulation failure state of a specific part, a full icing state of a cold insulation system and a large-span medium-free state;

simulating the cold insulation performance of the cold insulation material in different running states to obtain corresponding performance curves; and

and coupling all the obtained performance curves to obtain the homogeneous performance curve of the cold insulation material.

4. The cold-holding material performance evaluation method according to claim 1, wherein the detecting of the actual cold-holding performance of the cold-holding material comprises:

measuring one or more of the following performance parameters of the cold-holding material: stress, thermal conductivity, water absorption, shrinkage, apparent density, thermal conductivity, contact angle, compressive strength, and thermal weight loss rate; and

determining the actual cold insulation performance of the cold insulation material based on the measurement result of the performance parameter.

5. The method for evaluating the performance of the cold insulation material according to claim 1, wherein the calculating the cold insulation performance correction factor of the cold insulation material according to the actual cold insulation performance and the homogeneous performance curve comprises:

performing 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

and verifying the first preliminary estimated performance by adopting the actual cold insulation performance, and obtaining the cold insulation performance correction factor of the cold insulation material according to a verification result.

6. The cold-insulation material performance evaluation method of claim 5, wherein the comprehensive evaluation of 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 comprises:

performing 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

and fusing the first preliminary estimated performance and the second preliminary estimated performance, and correcting the fused result through the cold insulation performance correction factor correction so as to obtain the final performance of the cold insulation material.

7. A cold-holding material performance evaluation system, characterized by comprising:

the acquisition module is used for acquiring a laboratory test performance curve of the cold insulation material along with the change of time and the installation and construction level;

the simulation module is used for acquiring the operation index of the equipment cooled by the cold insulation material and simulating the operation state of the cold insulation material according to the operation index so as to acquire a homogeneous performance curve of the cold insulation material;

the detection module is used for detecting the actual cold insulation performance of the cold insulation material and measuring 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

and the evaluation module is used for comprehensively evaluating the performance of the cold insulation material according to the laboratory test performance curve, the homogeneous state performance curve and the cold insulation performance correction factor.

8. The cold-holding material performance evaluation system according to claim 7, wherein the acquisition module comprises:

the setting submodule is used for setting a plurality of set service times corresponding to different states for the cold insulation material;

the first acquisition submodule is used for respectively acquiring test results of laboratory tests on the cold insulation material when the cold insulation material is in a brand new unused state and the using time respectively reaches the corresponding state of the plurality of set using times;

the second acquisition submodule is used for acquiring an installation construction level value determined based on the fitting degree of the cold insulation material and the cold insulation equipment; and

and the generation submodule is used for generating the laboratory test performance curve according to the test result and the installation and construction level value.

9. The cold-holding material performance evaluation system of claim 7, wherein the simulation module comprises:

the state confirmation submodule is used for determining the operation state of the cold insulation material to be one of the following according to the operation index of the equipment cooled by the cold insulation material: the system comprises a normal use state, a cold insulation failure state of a specific part, a full icing state of a cold insulation system and a large-span medium-free state;

the simulation submodule is used for simulating the cold insulation performance of the cold insulation material in different running states so as to obtain a corresponding performance curve; and

and the coupling submodule is used for coupling all the acquired performance curves to obtain a uniform performance curve of the cold insulation material.

10. The cold-holding material performance evaluation system according to claim 7, wherein the detection module comprises:

a detection device for measuring one or more of the following performance parameters of the cold-holding material: stress, thermal conductivity, water absorption, shrinkage, apparent density, thermal conductivity, contact angle, compressive strength, and thermal weight loss rate; and

and the determining submodule is used for determining the actual cold insulation performance of the cold insulation material based on the measurement result of the performance parameter.

11. The cold-holding material performance evaluation system of claim 10, wherein the detection module further comprises:

the first evaluation submodule is used for carrying out preliminary evaluation on the performance of the cold insulation material based on the homogeneous performance curve so as to obtain first preliminary estimated performance of the cold insulation material; and

and the calculation submodule is used for verifying the first preliminary estimated performance by adopting the actual cold insulation performance and obtaining the cold insulation performance correction factor of the cold insulation material according to a verification result.

12. The cold-holding material performance evaluation system of claim 11, wherein the evaluation module comprises:

the second evaluation submodule is used for carrying out preliminary evaluation on the performance of the cold insulation material based on the laboratory test performance curve so as to obtain second preliminary estimated performance of the cold insulation material; and

and the correction submodule is used for fusing the first preliminary estimated performance and the second preliminary estimated performance and correcting the fused result through the cold insulation performance correction factor correction so as to obtain the final performance of the cold insulation material.

13. A machine-readable storage medium having stored thereon instructions for causing a machine to perform the cold-holding material performance assessment method of any one of claims 1-6.

Technical Field

The invention relates to the technical field of material heat insulation, in particular to a cold insulation material performance evaluation method and system.

Background

The cold insulation is a form of heat insulation, and is mainly used for isolating an internal low-temperature medium from the ambient environment, reducing the invalid cold loss of the medium in the conveying process, maintaining the technological parameters of the medium and meeting the requirements of production and technology.

The cold insulation material mainly comprises a flexible cold insulation material and a rigid cold insulation material, wherein the flexible cold insulation material has the advantage of better adhesion with cold insulation equipment, so that the thermal conductivity is lower (generally lower than 0.03W/(m.K)); the disadvantage is that the material is easy to age, the cold insulation performance is reduced to a certain extent along with the aging of the material, the reliability is reduced, especially for the material in a deep cooling state, once the material cracks, falls off and the like due to aging or other reasons, the cooled equipment is contacted with air to generate condensation icing phenomenon, and the heat conductivity coefficient of ice is as high as 2.2W/(m.K), so that once the condensation icing phenomenon occurs, the cold insulation material is close to failure. Therefore, it is very important to efficiently and reliably evaluate the performance of the flexible cold insulation material.

At present, the performance evaluation of the cold insulation material is mainly to evaluate the cold insulation material by using a thermal conductivity coefficient obtained under experimental or theoretical conditions, and it is generally considered that the material with the thermal conductivity coefficient of less than 0.05W/(m · K) has a good heat insulation effect, and when the thermal conductivity coefficient of the cold insulation material is lower than a set value, the cold insulation material needs to be replaced. The performance evaluation method of the cold insulation material has the following problems: on one hand, the construction quality, the use environment and other factors of the cold insulation material have great influence on the cold insulation effect, so that the heat conductivity coefficient obtained under the experimental or theoretical condition has certain deviation with the heat conductivity coefficient of the cold insulation material in actual service. On the other hand, after the cold insulation material is in service, the thermal conductivity coefficient of the cold insulation material is increased to a certain extent due to aging, so that the overall cold insulation performance of the material is reduced, the reduction speed of the thermal conductivity coefficient is nonlinear, and the thermal conductivity coefficient can suddenly and rapidly increase at a certain moment, so that a large amount of water condensation and icing phenomena occur, and the overall failure or the accident is caused.

Therefore, the cold insulation material is evaluated only by using an index of thermal conductivity under theoretical or experimental conditions, and whether to replace the cold insulation material is determined according to the evaluation result, which is poor in economy, safety and scientificity.

Disclosure of Invention

The present invention is directed to solve or at least partially solve the above technical problems, and provides a method and a system for evaluating cold insulation material performance.

In order to achieve the above object, an aspect of the present invention provides a cold insulation material performance evaluation method, including: acquiring a laboratory test performance curve of the cold insulation material along with the change of time and the installation and construction level; acquiring an operation index of equipment cooled by the cold insulation material, and simulating the operation state of the cold insulation material according to the operation index to acquire a homogeneous performance curve of the cold insulation material; detecting the actual cold insulation performance of the cold insulation material, and measuring 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 state performance curve and the cold insulation performance correction factor.

Preferably, the acquiring a laboratory test performance curve of the cold insulation material along with the change of time and installation and construction level comprises: setting a plurality of set use times corresponding to different states for the cold insulation material; when the cold insulation material is in a brand new unused state and the use time respectively reaches the state corresponding to the plurality of set use times, respectively obtaining test results of laboratory tests on the cold insulation material; acquiring an installation construction level value determined based on the fitting degree of the cold insulation material and the cold insulation equipment; and generating the laboratory test performance curve according to the test result and the value of the installation and construction level.

Preferably, the simulating the operation state of the cold insulation material to obtain the homogeneous performance curve of the cold insulation material according to the operation index includes: according to the operation index of the equipment cooled by the cold insulation material, determining the operation state of the cold insulation material to be one of the following: the system comprises a normal use state, a cold insulation failure state of a specific part, a full icing state of a cold insulation system and a large-span medium-free state; simulating the cold insulation performance of the cold insulation material in different running states to obtain corresponding performance curves; and coupling all the obtained performance curves to obtain the homogeneous performance curve of the cold insulation material.

Preferably, the detecting the actual cold insulation performance of the cold insulation material comprises: measuring one or more of the following performance parameters of the cold-holding material: stress, thermal conductivity, water absorption, shrinkage, apparent density, thermal conductivity, contact angle, compressive strength, and thermal weight loss rate; and determining the actual cold insulation performance of the cold insulation material based on the measurement result of the performance parameter.

Preferably, the calculating of the cold insulation performance correction factor of the cold insulation material according to the actual cold insulation performance and the homogeneous performance curve comprises: performing 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 by adopting the actual cold insulation performance, and obtaining the cold insulation performance correction factor of the cold insulation material according to a verification result.

Preferably, the comprehensive evaluation of 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 comprises: performing 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 and the second preliminary estimated performance, and correcting the fused result through the cold insulation performance correction factor correction to obtain the final performance of the cold insulation material.

According to a second aspect of the present invention, there is also provided a cold-holding material performance evaluation system including: the acquisition module is used for acquiring a laboratory test performance curve of the cold insulation material along with the change of time and the installation and construction level; the simulation module is used for acquiring the operation index of the equipment cooled by the cold insulation material and simulating the operation state of the cold insulation material according to the operation index so as to acquire a homogeneous performance curve of the cold insulation material; the detection module is used for detecting the actual cold insulation performance of the cold insulation material and measuring and calculating a cold insulation performance correction factor of the cold insulation material according to the actual cold insulation performance parameter and the homogeneous performance curve parameter; and the evaluation module is used for comprehensively evaluating the performance of the cold insulation material according to the laboratory test performance curve, the homogeneous state performance curve and the cold insulation performance correction factor.

Preferably, the obtaining module includes: the setting submodule is used for setting a plurality of set service times corresponding to different states for the cold insulation material; the first acquisition submodule is used for respectively acquiring test results of laboratory tests on the cold insulation material when the cold insulation material is in a brand new unused state and the using time respectively reaches the corresponding state of the plurality of set using times; the second acquisition submodule is used for acquiring an installation construction level value determined based on the fitting degree of the cold insulation material and the cold insulation equipment; and the generation submodule is used for generating the laboratory test performance curve according to the test result and the value of the installation construction level.

Preferably, the simulation module includes: the state confirmation submodule is used for determining the operation state of the cold insulation material to be one of the following according to the operation index of the equipment cooled by the cold insulation material: the system comprises a normal use state, a cold insulation failure state of a specific part, a full icing state of a cold insulation system and a large-span medium-free state; the simulation submodule is used for simulating the cold insulation performance of the cold insulation material in different running states so as to obtain a corresponding performance curve; and the coupling submodule is used for coupling all the acquired performance curves to obtain a uniform performance curve of the cold insulation material.

Preferably, the detection module includes: a detection device for measuring one or more of the following performance parameters of the cold-holding material: stress, thermal conductivity, water absorption, shrinkage, apparent density, thermal conductivity, contact angle, compressive 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 result of the performance parameter.

Preferably, the detection module further comprises: the first evaluation submodule is used for carrying out preliminary evaluation on the performance of the cold insulation material based on the homogeneous performance curve so as to obtain first preliminary estimated performance of the cold insulation material; and the calculation submodule is used for verifying the first preliminary estimated performance by adopting the actual cold insulation performance and obtaining the cold insulation performance correction factor of the cold insulation material according to a verification result.

Preferably, the evaluation module comprises: the second evaluation submodule is used for carrying out preliminary evaluation on the performance of the cold insulation material based on the laboratory test performance curve so as to obtain second preliminary estimated performance of the cold insulation material; and the correction submodule is used for fusing the first preliminary estimated performance and the second preliminary estimated performance and correcting the fused result through the cold insulation performance correction factor correction so as to obtain the final performance of the cold insulation material.

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 cold-holding material performance evaluation method.

Through the technical scheme, three modes of laboratory test, theoretical simulation and field actual measurement aiming at the performance of the cold insulation material are comprehensively considered, so that the three modes are crossed, parallel, mutually supplemented and mutually verified, a more accurate and comprehensive evaluation result can be obtained, an enterprise using the cold insulation material is guided to comprehensively evaluate the performance and reliability of the cold insulation material, and the cold insulation material comprehensive evaluation system has higher systematicness and operability and has higher guidance significance and practical value in engineering practice.

Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.

Drawings

The accompanying drawings, which are included to provide a further understanding of the embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the embodiments of the invention without limiting the embodiments of the invention. In the figure:

FIG. 1 is a flow chart of a method for evaluating the performance of a cold-insulation material according to an embodiment of the present invention;

FIG. 2 is a block diagram of a cold insulation material performance evaluation system provided by an embodiment of the invention;

FIG. 3 is a block diagram of an acquisition module of a cold insulation material performance evaluation system provided by an embodiment of the invention; and

FIG. 4 is a block diagram of a simulation module of a cold-holding material performance evaluation system provided by an embodiment of the invention;

fig. 5 is a flowchart of a specific application example of the cold insulation material performance evaluation method according to the embodiment of the present invention.

Description of the reference numerals

1. Acquisition module 2 and simulation module

3. Detection module 4 and evaluation module

11. Setting submodule 12 and first obtaining submodule

13. Second acquisition submodule 14 and generation submodule

21. Status confirmation submodule 22, simulation submodule

23. Coupling submodule

Detailed Description

The following detailed description of embodiments of the invention refers to the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present invention, are given by way of illustration and explanation only, not limitation.

It should be noted that the "cold insulation" referred to as "cold insulation" and the "heat preservation" referred to as "heat preservation" in the present invention are the same meaning as the "heat preservation" referred to in general, and refer to reduction of heat transfer between objects. As the name implies, heat preservation refers to reducing the transfer of heat from within the insulated device or object to the outside. And cold insulation refers to reducing the transmission of external heat to the interior of the equipment or object to be cooled. The heat insulating material generally refers to a material with a thermal conductivity less than or equal to 0.12, and the performance and reliability of the cold insulating material are evaluated in the invention, except for considering the thermal conductivity of the material, the water absorption rate, shrinkage rate and other parameters of the cold insulating material.

In addition, the cold insulation materials mentioned in the invention are all flexible cold insulation materials, the in-service cold insulation materials are cold insulation materials in use, the cold insulation performance and reliability of the cold insulation materials are evaluated by using the cold insulation material performance evaluation method and the cold insulation material performance evaluation system in the invention, so that enterprises are guided to take measures of partial replacement, complete replacement or maintenance on the cold insulation materials, and further, the cold insulation materials and the reliability and stability of cold insulation equipment of the cold insulation materials are ensured, the energy-saving and consumption-reducing effects are achieved, meanwhile, the cold insulation material resources are saved, and the production cost of the enterprises is reduced.

Example one

Fig. 1 is a flowchart of a cold insulation material performance evaluation method according to an embodiment of the present invention, and as shown in fig. 1, the cold insulation material performance evaluation method may include the following steps:

s100, obtaining a laboratory test performance curve of the cold insulation material along with the change of time and the installation and construction level.

In the preferred embodiment of the invention, aiming at the cold insulation material, a plurality of set use times corresponding to different states are set; respectively obtaining test results of laboratory tests on the cold insulation material when the cold insulation material is in a brand new unused state and the use time respectively reaches a state corresponding to a plurality of set use times; acquiring a value of an installation construction level determined based on the fitting degree of a cold insulation material and equipment to be cooled; and generating a laboratory test performance curve according to the test result and the value of the installation and construction level.

Specifically, the laboratory test performance of the cold insulation material can be obtained when the cold insulation material is not used completely and is used for a plurality of time nodes such as half a year, one year, nine months, twelve months and the like, and the laboratory test performance curve of the cold insulation material is obtained after data processing.

For example, for the same cold insulation material, a brand new cold insulation material and an in-service cold insulation material which is taken down after the use time reaches the set time are subjected to a system laboratory test, and a series of laboratory performance parameters such as water absorption rate a, shrinkage rate b, apparent density c, thermal conductivity coefficient d, contact angle e, compression strength f, thermal weight loss rate g and the like of the brand new cold insulation material and the in-service cold insulation material are respectively obtained. Wherein, the water absorption rate a refers to the mass ratio of the unit volume of the cold insulation material capable of absorbing water under the excessive water environment, and is a dimensionless quantity; the shrinkage rate b is the linear rate of the cold shrinkage of the cold insulation material in all directions (length, width and height) under the deep cooling condition, and is dimensionless; the apparent density c is the macroscopic density of the cold-insulating material, and the apparent density is obtained by dividing the mass of the cold-insulating material by the volume and is expressed in kg/m³(ii) a The thermal conductivity d is the capacity of the cold-insulating material to transfer heat in unitsW/m K; the contact angle e is a contact angle of liquid on the surface of the cold insulation material and is used for judging the performance parameter of whether the material is hydrophobic, if the contact angle is smaller than 90 degrees, the surface of the cold insulation material is considered to be hydrophilic, and if the contact angle is larger than 90 degrees, the surface of the cold insulation material is considered to be hydrophobic; the compressive strength f refers to the compressive resistance of the cold insulation material, namely the maximum compressive stress borne by the cold insulation material when yielding, and the unit is MPa; the thermal weight loss rate g refers to the thermal stability of the cold insulation material, the thermal degradation temperature of the material is tested, the mass residual rate of the material is obtained, and the mass residual rate is a dimensionless quantity.

And further, determining the value of the installation construction level of the cold insulation material according to the fit degree of the cold insulation material in service with the equipment to be cooled. Because the more complex the structure of the equipment (mainly referring to the outer surface structure of the equipment), the more difficult the cold insulation material is to be attached to the equipment to be cooled, the attachment degree of the in-service cold insulation material to the equipment to be cooled can be evaluated according to the structure (such as a cylinder, a square structure, an irregular structure and the like), the number of corners, the bending angle and the like of the equipment to be cooled by the cold insulation material, so that the value of the installation and construction level can be determined. In addition, the fitting degree of the cold insulation material and the cold insulation equipment can be measured and calculated by detecting the size of the equipment provided with the cold insulation material and combining the size of the equipment body and the thickness of the cold insulation material. And revising the determined value of the installation construction level according to the skill level of the cold-insulation material installation constructor, the installation tool and the like.

According to results of different laboratory test parameters (including a, b, c … … g and the like) and values of installation and construction levels, comprehensive data simulation analysis is carried out to determine the correlation degree of the obtained indexes with the in-service time alpha and the installation and construction level value beta, the in-service time correction factor alpha and the installation and construction level correction factor beta are used for correcting f (x), and finally, curves of all laboratory performance parameters are fitted. Generating a laboratory test performance curve of the cold insulation material along with the change of time and installation construction level conditions as shown in the following formula 1:

(x) f (α · β (a, b, c … j)) formula 1

Wherein, the alpha represents the in-service time correction factor refers to correcting the function according to the specific value determined by the in-service time of the cold insulation material, wherein the in-service time refers to the service time of the cold insulation material calculated from the installation and the use of the cold insulation material.

And beta, the correction factor of the installation construction level comprehensively considers the installation construction level and then determines a corresponding value.

And f (x) represents the laboratory test performance of the cold insulation material.

S200, obtaining operation indexes of equipment cooled by the cold insulation material, and simulating the operation state of the cold insulation material according to the operation indexes to obtain a homogeneous performance curve of the cold insulation material.

In a preferred embodiment of the present invention, the operation state of the cold insulation material is determined to be one of the following according to the operation index of the equipment to be cooled by the cold insulation material: normal use, cold insulation failure of specific parts, full icing of a cold insulation system and a large-span medium-free state.

Specifically, during the use of the cold insulation material, the performance of the cold insulation material (such as parameters of thermal conductivity, water absorption and the like of a brand-new cold insulation material) determines the initial level of the cold insulation material, the installation level determines the initial state of equipment or pipeline cold insulation by using the cold insulation material, and the cold insulation performance begins to decline along with the service time. The method comprises the steps of determining the running state of the cold insulation material according to the actual running condition aiming at the cold insulation material with basically consistent service time in the same plant area, and determining the running state of the cold insulation material as one of the normal use, the cold insulation failure of a specific part, the total icing of a cold insulation system and the medium-free state of a large span.

Here, a state of normal use of the cold insulating material is denoted by a. The state of the cold insulation failure at a specific part of the cold insulation material is represented by B, for example: the cold insulation material at the elbow of the cold-insulated equipment or pipeline obviously falls off. The state of the cold insulation material cold insulation system which is completely frozen is represented by C, for example: due to the breakage or cracking of the equipment or the pipelines which are kept cold, water vapor or rainwater in the air can be condensed into ice and fill the space of the whole cold keeping system. The state of the cold insulation material in a large-span medium-free state is represented by D, wherein the large span refers to the pipeline span exceeding ten times of the diameter of the pipeline, and the medium-free state refers to the condition that no content exists in the pipeline, so that no cold source exists, if the shell is cracked or damaged, rainwater can be accumulated in the cold insulation system, and the risk of corrosion of the pipeline exists.

For example, obtaining operation indexes such as mechanical parameters, medium parameters, operation conditions and the like of equipment to be subjected to cold insulation of the cold insulation material to be evaluated, applying a numerical analysis method, combining a laboratory test performance curve of the cold insulation material in the step S100, simulating the cold insulation performance of the cold insulation material in different operation states, analyzing the equipment body state and the cold insulation effect of a series of states such as a normal use state of the cold insulation material a, a failure state of the cold insulation material at a specific part B, a full icing state of a cold insulation system C, a large span medium-free state D and the like by a system, and evaluating the use performance and reliability of the cold insulation material to obtain the performance curves corresponding to the cold insulation material in different operation states.

Further, the simulated performance curves corresponding to the cold-insulation materials in different operating states are coupled to obtain a homogeneous performance curve of the multi-state coupled cold-insulation material as shown in the following formula 2. In the coupling process, the proportion of the performance index of the cold insulation state when the cold insulation material is in each state can be determined by combining the actual situation, which is not limited by the invention.

F (y) ═ F (a, B, C … J) formula 2

Wherein, F (y) represents the homogeneous performance of the cold insulation material with multi-state coupling.

S300, 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. In the embodiment of the invention, the actual cold insulation performance of the cold insulation 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, stress detection and the like. Primarily measuring one or more of the following performance parameters of the cold-holding material: stress, thermal conductivity, water absorption, shrinkage, apparent density, thermal conductivity, contact angle, compressive strength, and thermal weight loss rate. Based on the measurement results of the performance parameters, the actual cold insulation performance of the cold insulation material is determined.

Preferably, the estimating of the cold insulation performance correction factor of the cold insulation material in the step S300 may include: performing 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 by adopting the actual cold insulation performance, and obtaining the cold insulation performance correction factor of the cold insulation material according to a verification result.

For example, the first preliminary estimated performance (e.g., f (y) in formula 2) obtained in step S200 based on the homogeneous performance curve of the cold-insulation material is corrected by combining the actual cold-insulation performance of the cold-insulation material obtained in step S300 based on actual measurement, so as to obtain the cold-insulation performance correction factor γ of the cold-insulation material.

And S400, 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.

Preferably, this step 400 may comprise: performing 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 and the second preliminary estimated performance, and correcting the fused result through the cold insulation performance correction factor correction to obtain the final performance of the cold insulation material.

For example, by using the cold insulation performance correction factor γ and equation 2, the performance and reliability evaluation results of the cold insulation material shown in equation 3 below can be obtained.

F (z) ═ f (x) · f (y) · γ formula 3

Wherein, f (x) represents the laboratory test performance of the cold insulation material;

f (y) represents the homogeneous performance of the cold insulation material with multi-state coupling;

γ, which represents a cold insulation property correction factor of the cold insulation material;

and F (Z) represents the final performance and reliability evaluation comprehensive index of the cold insulation material.

For example, when the cold insulation performance of the cold insulation material is comprehensively evaluated, the comprehensive evaluation coefficient is set to 100%, wherein the evaluation coefficient accounts for 40% of the weight of the comprehensive evaluation coefficient (corresponding to the second preliminary estimated performance) according to the laboratory test performance curve obtained in step S100 as the core basic data; according to the homogeneous performance curve obtained in the step S200, the average application level of the material in the enterprise, namely the homogeneous performance curve, can be obtained, the homogeneous performance curve is used as updating data to perform weighted updating on the result of the step S100, and the weight of the evaluation coefficient accounting for the comprehensive evaluation coefficient (corresponding to the first preliminary estimated performance) is 20%; and weighting and correcting the result as posterior data according to the actual detection result obtained in the step S300, wherein the evaluation coefficient accounts for 40% of the weight of the comprehensive evaluation coefficient, and thus, after weighting calculation is carried out according to the evaluation results obtained in the steps S100, S200 and S300, a more objective cold insulation material performance evaluation result is obtained.

Example two

Fig. 2 is a block diagram of a cold insulation material performance evaluation system according to an embodiment of the present invention, and as shown in fig. 2, the cold insulation material performance evaluation system includes: the system comprises an acquisition module 1, a storage module and a control module, wherein the acquisition module is used for acquiring a laboratory test performance curve of a cold insulation material along with the change of time and installation and construction level; the simulation module 2 is used for acquiring the operation index of the equipment cooled by the cold insulation material and simulating the homogeneous performance curve of the cold insulation material according to the operation index; the detection module 3 is used for detecting the actual cold insulation performance of the cold insulation material and measuring 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 the evaluation module 4 is used for 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.

Fig. 3 is a block diagram of an acquisition module of a cold insulation material performance evaluation system according to an embodiment of the present invention, and as shown in fig. 3, the acquisition module 1 includes: the setting submodule 11 is used for setting a plurality of set service times corresponding to different states for the cold insulation material; the first obtaining submodule 12 is configured to obtain test results of laboratory tests on the cold insulation material when the cold insulation material is in a brand new unused state and the use time reaches corresponding states of a plurality of set use times respectively; the second obtaining submodule 13 is configured to obtain an installation construction level value determined based on a fitting degree of a cold insulation material and equipment to be cooled; and a generation submodule 14 for generating a laboratory test performance curve according to the test result and the value of the installation construction level.

Fig. 4 is a block diagram of a simulation module of the cold insulation material performance evaluation system according to the embodiment of the present invention, and as shown in fig. 4, the simulation module 2 includes: the state confirmation submodule 21 is configured to determine, according to the operation index of the device cooled by the cooling material, that the operation state of the cooling material is one of the following: normal use, cold insulation failure of a specific part, full icing of a cold insulation system and a large-span medium-free state; the simulation submodule 22 is configured to simulate the cold insulation performance of the cold insulation material in different operating states, so as to obtain performance curves corresponding to the cold insulation material in different operating states; and a coupling submodule 23, configured to couple the simulated performance curves corresponding to the cold-insulation materials in different operating states, so as to obtain a uniform performance curve of the cold-insulation material.

Preferably, the detection module 3 comprises: detection means (not shown in the figures) 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, compressive 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 result of the performance parameter.

In a preferred embodiment, the detection module 3 further comprises: the first evaluation submodule is used for carrying out preliminary evaluation on the performance of the cold insulation material based on the homogeneous performance curve so as to obtain first preliminary estimated performance of the cold insulation material; and the calculation submodule is used for verifying the first preliminary estimated performance by adopting the actual cold insulation performance and obtaining the cold insulation performance correction factor of the cold insulation material according to a verification result. Accordingly, the evaluation module 4 preferably comprises: the second evaluation submodule is used for carrying out preliminary evaluation on the performance of the cold insulation material based on the laboratory test performance curve so as to obtain second preliminary estimated performance of the cold insulation material; and the correction submodule is used for fusing the first preliminary estimated performance and the second preliminary estimated performance and correcting the fused result through the cold insulation performance correction factor correction so as to obtain the final performance of the cold insulation material.

Other specific implementation details and beneficial effects of the cold insulation material performance evaluation system are the same as those of the material cold insulation performance evaluation method, and are not described herein again.

EXAMPLE III

The method for evaluating the performance of the cold insulation material provided by the embodiment of the invention is described by specific application examples of the method and the system for evaluating the performance of the cold insulation material applied to a certain LNG enterprise.

As a large number of pipelines and equipment are in a cryogenic state at minus 160 ℃ due to the requirement of a production process, flexible cold insulation is used for cold insulation of the pipelines in order to ensure that the production equipment is stable and reliable, energy is saved and consumption is reduced. After the cold insulation system is used for a plurality of years, the phenomena of reduced cold insulation performance, large amount of icing, bubbling, cold insulation falling off and the like of pipelines appear. 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 the in-service flexible cold insulation materials is carried out according to the cold insulation material performance evaluation method provided by the embodiment of the invention.

Fig. 5 is a flowchart of a specific application example of the cold insulation material performance evaluation method according to the embodiment of the present invention. As shown in fig. 5, the following steps may be included:

and S1, acquiring basic parameters of the cold insulation material and the operation parameters of the cold insulation equipment.

Specifically, the following data were collected: 1. the method comprises the following steps of (1) determining the operation parameters of equipment to be evaluated, including equipment material, temperature, pressure, medium, size and the like, (2) determining the rated performance parameters (such as water absorption, shrinkage, heat conductivity and the like) and the field use temperature of the cold insulation material to be evaluated, (3) determining the field use state of the cold insulation system, and (3) confirming the installation condition, the current use condition and the like of the cold insulation system to be evaluated.

The method comprises the steps of determining pipeline data of 4 units needing cold insulation performance evaluation on site, surveying the site, knowing the current use situation of the enterprise cold insulation system, and determining cold insulation materials included in the cold insulation system to be evaluated and equipment or pipelines to be cooled.

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

s21, testing the performance of the cold-insulating material in a laboratory; s22, analyzing the performance of the cold insulation material; and S23, acquiring a laboratory test performance curve of the cold insulation material.

Specifically, laboratory performance tests are respectively carried out on brand new and in-service cold insulation materials, data of the new and in-service cold insulation materials are compared, and the incidence relation between the performance of the cold insulation materials, service time and construction quality is obtained by combining the use state of site survey, so that a laboratory test performance curve of the cold insulation materials is generated.

Laboratory tests are carried out on the cold insulation materials in service and brand new cold insulation materials, and the following conclusions can be obtained through analysis: the material has high shrinkage rate (6-15%), and can cause cold insulation and external protection separation, cold insulation cracking and other conditions after long-term use, and the generated gap can be frozen and the performance and reliability are seriously reduced; aging phenomena such as apparent density increase (about 20 percent), cell shrinkage, compressive strength increase (about 80 percent) and the like are obviously generated on the cold insulation material in service, and the aging phenomena are related to the rubber material of the cold insulation material; and the heat conductivity coefficient of the cold insulation material in service is obviously higher than that of the brand-new and other problems (the heat conductivity coefficient is increased by about 30%). According to the results obtained in the laboratory, the laboratory test performance evaluation of the cold insulation material is carried out by combining the formula 1.

For the equipment or pipeline to be cooled by the cooling material to be evaluated determined in the step S1, the following steps are sequentially executed:

s31, simulating the homogeneous performance of the cold insulation material; and S32, obtaining a homogeneous performance curve.

Specifically, numerical simulation is carried out on parameters of equipment or pipelines cooled by the cooling material, serial failure conditions are designed, simulation analysis is carried out on cold loss and stress of each condition, and a homogeneous performance curve of the cooling material is obtained so as to carry out preliminary evaluation on cooling performance and reliability.

Combined 2 treatment assessmentThe pipeline and the attached cold insulation system are subjected to numerical simulation, and the following conclusion is obtained: increasing cold loss of pipeline cold insulation system (about 1.8X 10)³W/m2), performance degradation; secondly, the icing of the pipeline leads to the increase of the stress of the pipeline body and the reduction of the reliability.

Combining the homogeneous performance of the cold insulation material obtained in the steps S31 and S32, the following steps are sequentially carried out:

s41, verifying cold insulation performance; and S42, calculating the cold insulation performance correction factor of the cold insulation material.

Specifically, the average performance curve of the cold insulation material obtained in step S32 is detected by using a detection device according to the running state of the cold insulation material to which the average performance curve is directed, if the obtained detection result matches the result obtained by simulation in step S32 (the value difference is within the set threshold range), step S42 is executed, and if the obtained detection result does not match the result obtained by simulation in step S31, the average performance of the cold insulation material is simulated again until the simulated result matches the result obtained by actual detection.

And (3) verifying the cold insulation performance of the selected pipeline to be evaluated on site by combining the formula 2 and the formula 3, and confirming the result of the numerical simulation by means of infrared temperature measurement, levelness measurement, nondestructive testing and the like to obtain the conclusion that the performance and reliability of the flexible cold insulation system used by the enterprise are seriously reduced.

Based on 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.

And S5, comprehensively evaluating the performance and reliability of the cold insulation material.

The comprehensive performance and reliability evaluation results of the cold insulation material are given by integrating laboratory tests, numerical simulation of the cold insulation material homogeneous performance curve and results obtained by detection of the detection device, and comprehensive performance and reliability evaluation reports of the cold insulation material are provided for the enterprise, wherein the comprehensive performance and reliability evaluation reports comprise the problems that the cold insulation material of the equipment is unreasonable in material selection, the cold insulation material needs to be paid attention to in construction during installation and the like. The method guides the enterprise to replace the cold insulation material with the value of tens of millions, provides powerful guarantee for the cold insulation effect of the equipment of the enterprise, and therefore ensures the safety production of the enterprise.

Example four

A fourth embodiment of the present invention provides a machine-readable storage medium having instructions stored thereon, where the instructions are configured to cause a machine to perform any of the cold-insulation material performance evaluation methods described above.

The evaluation results of the cold insulation material performance in the laboratory test, the theoretical simulation and the field actual measurement of the cold insulation material are comprehensively considered in each embodiment of the invention, and the method of cross parallel, mutual supplement and mutual verification of various cold insulation performance evaluation modes is adopted to guide the enterprise using the cold insulation material to comprehensively evaluate the performance and the reliability of the cold insulation material, so that the method has higher comprehensiveness, systematicness and operability, and has higher guiding significance and practical value in engineering practice.

Although the embodiments of the present invention have been described in detail with reference to the accompanying drawings, the embodiments of the present invention are not limited to the details of the above embodiments, and various simple modifications can be made to the technical solutions of the embodiments of the present invention within the technical idea of the embodiments of the present invention, and the simple modifications all belong to the protection scope of the embodiments of the present invention.

It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, the embodiments of the present invention do not describe every possible combination.

Those skilled in the art will understand that all or part of the steps in the method according to the above embodiments may be implemented by a program, which is stored in a storage medium and includes several instructions to enable a single chip, a chip, or a processor (processor) to execute all or part of the steps in the method according to the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.

In addition, any combination of various different implementation manners of the embodiments of the present invention is also possible, and the embodiments of the present invention should be considered as disclosed in the embodiments of the present invention as long as the combination does not depart from the spirit of the embodiments of the present invention.