A method, electronic equipment and computer program product for evaluating thermal insulation engineering of large and complex steam pipe networks based on digital twin models

Abstract

The present disclosure provides a method, electronic device and computer program product for evaluating the insulation engineering of a large and complex steam pipeline network based on a digital twin model, which belongs to the technical field of evaluation of the insulation engineering of a steam pipeline network, including obtaining the structural data of a target steam pipeline network, constructing a digital twin model based on the structural data of the target steam pipeline network, calculating the insulation evaluation index parameters according to the constructed digital twin model of the target steam pipeline network, and evaluating the insulation effect of the target steam pipeline network according to the calculated insulation evaluation index parameter values. The present disclosure optimizes the evaluation method of the insulation engineering of a large and complex steam pipeline network, does not need to set a large number of temperature measurement points, reduces the investment of measurement personnel, measurement costs and measurement time, speeds up the progress of the evaluation, improves the accuracy of the insulation engineering evaluation, and has achieved significant progress in the accuracy of the evaluation results, the evaluation speed and the economy.

Description

Technical Field

[0001] The present disclosure relates to the technical field of steam pipe network insulation engineering evaluation, and in particular to a large-scale complex steam pipe network insulation engineering evaluation method, electronic equipment and computer program product based on a digital twin model. Background Art

[0002] Steam pipe network is a widely used heating system in industrial production, usually composed of boilers, steam generators, steam flow meters, regulating valves, steam dryers, various valves (such as gate valves, stop valves, seat valves, safety valves, etc.), control cabinets, pipelines and other components. It uses steam as a transmission medium to transport the steam generated by the heat source to various steam use points through pipelines for heating, reaction, drying and other processes as well as power supply to meet the various production needs of enterprises.

[0003] In order to reduce heat loss, save energy and reduce costs, the insulation of steam pipe network is particularly important. Steam will generate heat energy loss due to heat transfer during pipeline transportation. Effective insulation measures can reduce this loss and improve energy utilization. According to statistics, the heat loss of uninsulated steam pipelines during transportation can be as high as 30% or more, while after insulation treatment, the heat loss can be reduced to less than 10%, thereby saving a lot of energy. This not only reduces the operating costs of enterprises, but also achieves energy conservation and emission reduction. In addition, steam pipelines and their ancillary equipment work under high temperature and high pressure and are easily affected by the external environment. The insulation layer can effectively protect the pipeline from erosion by the external environment, such as preventing condensation on the surface of the pipeline due to temperature differences, avoiding corrosion, and thus extending the service life of the pipeline; at the same time, the insulation layer can also reduce the impact of temperature changes on the pipeline system and its ancillary equipment, reduce thermal stress and condensate caused by temperature changes, and ensure the stable operation of the pipeline system.

[0004] However, the quality and effect evaluation of steam pipe network insulation projects has long been a difficult problem in this field. Traditional evaluation methods for pipe network insulation projects often rely on on-site testing, empirical judgment, and local calculation and analysis, which have many shortcomings. For example, CN108760366A discloses a calculation method for thermal indicators of heating steam pipeline commissioning acceptance evaluation, and lists the calculation methods of thermal indicators that need to be paid attention to during the steam pipeline commissioning acceptance stage.

[0005] In most cases, the existing insulation engineering evaluation method evaluates the insulation engineering by measuring the outer surface temperature of the steam pipeline on site, and there are limitations in data acquisition. When conducting on-site measurement operations, some temperature points are usually measured at a certain distance. If the distance interval is too long, it cannot fully reflect the insulation status of the entire pipeline network. If the distance interval is too short, it will take a lot of manpower, material resources and time. Some steam pipelines are on very high pipe racks, and measurement personnel need to build temporary scaffolding. There are many inconveniences in the measurement process. After the measurement is completed, the scaffolding needs to be removed, which increases manpower, material resources and time. For large and complex pipelines, relying solely on manpower to measure temperature points is too expensive, and the cost of data acquisition is too high, which is not economical for enterprises. More importantly, the existing measurement methods, such as infrared thermometers, infrared scanners, contact thermometers, etc., the measurement results depend on the professional level and meticulousness of the operators, and are also related to weather conditions and light conditions. Therefore, the existing measurement methods will also produce large measurement errors. Summary of the invention

[0006] In response to the above problems, the present invention provides a large-scale and complex steam pipeline insulation engineering evaluation method, electronic equipment and computer program product based on a digital twin model, which improves the efficiency and accuracy of insulation engineering evaluation and solves the problems of excessive investment and large errors in traditional evaluation methods.

[0007] The present disclosure provides a method for evaluating a large-scale complex steam pipe network insulation project based on a digital twin model, including:

[0008] Acquire structural data of a target steam pipe network, and construct a digital twin model based on the structural data of the target steam pipe network, wherein the structural data of the target steam pipe network includes a system flow chart, pipeline parameters, and key point information of the target steam pipe network, and after constructing the digital twin model of the target steam pipe network based on the acquired system flow chart, pipeline parameters, and key point information of the target steam pipe network, perform model verification on the constructed digital twin model of the target steam pipe network;

[0009] According to the constructed digital twin model of the target steam pipe network, the insulation evaluation index parameters are calculated, including establishing an insulation evaluation index system including heat loss evaluation index, insulation integrity evaluation index and environmental impact evaluation index, wherein the heat loss evaluation index includes heat dissipation and heat flux density, the insulation integrity evaluation index includes insulation efficiency, insulation efficiency reduction ratio and pipeline exposed ratio, and the environmental impact evaluation index includes heat loss four seasons weighted and heat loss rainfall weighted. Then, according to the constructed digital twin model of the target steam pipe network, the insulation evaluation index parameters in the established insulation evaluation index system are calculated;

[0010] According to the calculated insulation evaluation index parameter value, the insulation effect of the target steam pipe network is evaluated, including using the value calculated for the insulation evaluation index parameter as the actual value of the evaluation index, comparing the actual value of the evaluation index with a qualified value, and judging whether the evaluation index is qualified according to the comparison result between the actual value of the evaluation index and the qualified value, wherein the evaluation of the insulation effect of the target steam pipe network includes evaluating the insulation effect of the target steam pipe network before and after the insulation replacement project under the old operating parameters and the new operating parameters based on the digital twin model of the target steam pipe network:

[0011] Before replacing the insulation project, evaluate the old insulation project with the old working condition parameters, and the evaluation result is recorded as P 11 , the old working condition parameters are used to predict and evaluate the new insulation project, and the evaluation result is recorded as P 21 ;

[0012] After replacing the insulation project, the new insulation project is evaluated with new working condition parameters, and the evaluation result is recorded as P 22 , the old insulation project is simulated and evaluated with the new working condition parameters, and the evaluation result is recorded as P 12 ;

[0013] Compare P 11 and P 21 Carry out the prediction effect evaluation of the replacement insulation project and compare P 22 and P 12 Carry out actual effect evaluation of insulation replacement project.

[0014] Furthermore, the obtaining of the structural data of the target steam pipeline network and the construction of the digital twin model based on the structural data of the target steam pipeline network include obtaining the structural data of the target steam pipeline network through design drawings, as-built drawings, equipment lists and on-site surveying and mapping, so as to improve the consistency between the constructed digital twin model of the target steam pipeline network and the target steam pipeline network.

[0015] Furthermore, the model verification of the constructed digital twin model of the target steam pipeline network includes respectively obtaining the measured values ​​and calculated values ​​of the parameters of the target steam pipeline network, and performing model verification based on the measured values ​​and the calculated values, wherein the measured values ​​are obtained by measuring with instruments, and the calculated values ​​are obtained by simulating and calculating the digital twin model of the target steam pipeline network. When the relative error between the measured value and the calculated value is not greater than a set threshold, the verification passes; when the relative error between the measured value and the calculated value is greater than the set threshold, the verification fails, and the digital twin model of the target steam pipeline network that fails the verification is corrected.

[0016] Furthermore, after the constructed digital twin model of the target steam pipeline network is verified, the outer surface temperature of the pipeline of the target steam pipeline network is collected, and the outer surface temperature of the pipeline is calculated based on the verified digital twin model of the target steam pipeline network. The collected temperature of the pipeline is compared with the calculated temperature to verify the error of the measuring instrument used to collect the outer surface temperature of the pipeline.

[0017] Furthermore, the heat dissipation refers to the heat dissipated from the outer surface of the pipeline to the surrounding environment within the calculation period, and the heat dissipation includes the designed heat dissipation, qualified heat dissipation, and actual heat dissipation. Whether the heat dissipation evaluation index is qualified is judged based on the comparison result of the actual heat dissipation and the qualified heat dissipation, and the degree of comparison is determined based on the ratio of the difference between the actual heat dissipation and the qualified heat dissipation to the qualified heat dissipation; the heat flux density refers to the heat dissipation of the pipeline per unit area, and the heat flux density includes the designed heat flux density, qualified heat flux density, and actual heat flux density. Whether the heat flux density evaluation index is qualified is judged based on the comparison result of the actual heat flux density and the qualified heat flux density, and the degree of comparison is determined based on the ratio of the difference between the actual heat flux density and the qualified heat flux density to the qualified heat flux density.

[0018] Furthermore, the thermal insulation efficiency refers to the ratio of the reduced heat dissipation before and after covering the thermal insulation to the heat dissipation without covering the thermal insulation. The thermal insulation efficiency includes the designed thermal insulation efficiency, the qualified thermal insulation efficiency and the actual thermal insulation efficiency. The thermal insulation efficiency reduction ratio refers to the reduction ratio of the actual thermal insulation efficiency relative to the designed thermal insulation efficiency.

[0019] Furthermore, the calculation of the insulation evaluation index parameters based on the constructed digital twin model of the target steam pipeline network includes calculating the heat loss evaluation index according to the operating parameters of the target steam pipeline network in the four seasons of spring, summer, autumn and winter, and finally performing weighted average calculation according to the number of days corresponding to spring, summer, autumn and winter respectively to obtain the four-season weighted heat loss; and performing weighted calculation of the heat loss evaluation index according to the actual number of rainfall days at the location of the target steam pipeline network to obtain the heat loss rainfall weighted heat loss.

[0020] Furthermore, the pipeline exposure ratio refers to the percentage of the length of the pipeline not covered with insulation to the total length of the pipeline. The larger the pipeline exposure ratio value is, the more serious the damage to the insulation layer is.

[0021] The present disclosure provides a computer electronic device, including a memory, a processor, and a computer program stored in the memory, wherein the processor executes the computer program to implement the steps of the above-mentioned large-scale complex steam pipeline insulation engineering evaluation method based on the digital twin model.

[0022] The present disclosure provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the above-mentioned large-scale complex steam pipeline insulation engineering evaluation method based on a digital twin model.

[0023] The present disclosure provides a large-scale complex steam pipeline network insulation engineering evaluation method based on a digital twin model, an electronic device, and a computer program product. First, the structural data of the target steam pipeline network is obtained, and a digital twin model is constructed based on the structural data of the target steam pipeline network, wherein the structural data of the target steam pipeline network includes the system flow chart, pipeline parameters, and key point information of the target steam pipeline network. After the digital twin model of the target steam pipeline network is constructed based on the acquired system flow chart, pipeline parameters, and key point information of the target steam pipeline network, a model verification is performed on the constructed digital twin model of the target steam pipeline network; further, according to the constructed digital twin model of the target steam pipeline network, insulation evaluation index parameters are calculated, including establishing an insulation evaluation index system including a heat loss evaluation index, an insulation integrity evaluation index, and an environmental impact evaluation index, wherein the heat loss evaluation index includes heat dissipation and heat flux density, and the insulation integrity evaluation index includes insulation efficiency, insulation efficiency degradation, and thermal insulation efficiency degradation. ratio, exposed pipeline ratio, the environmental impact assessment index includes four-season weighted heat loss and rainfall weighted heat loss, and then the insulation evaluation index parameters in the established insulation evaluation index system are calculated according to the constructed digital twin model of the target steam pipeline network; finally, according to the calculated insulation evaluation index parameter value, the insulation effect of the target steam pipeline network is evaluated, including taking the value calculated from the insulation evaluation index parameter as the actual value of the evaluation index, comparing the actual value of the evaluation index with the qualified value, and judging whether the evaluation index is qualified according to the comparison result between the actual value of the evaluation index and the qualified value, wherein the evaluation of the insulation effect of the target steam pipeline network includes evaluating the insulation effect of the target steam pipeline network before and after replacing the insulation project under the old operating parameters and the new operating parameters based on the digital twin model of the target steam pipeline network: before replacing the insulation project, the old insulation project is evaluated with the old operating parameters, and the evaluation result is recorded as P 11 , the new insulation project number is predicted and evaluated using the old working condition parameters, and the evaluation result is recorded as P 21 After replacing the insulation project, the new insulation project is evaluated with new working condition parameters, and the evaluation result is recorded as P 22 , the old insulation project is simulated and evaluated with the new working condition parameters, and the evaluation result is recorded as P 12 ; Compare P 11 and P 21 Carry out the prediction effect evaluation of the replacement insulation project and compare P 22 and P 12An actual effect evaluation of the replacement insulation project was carried out, and the evaluation method of the insulation project of a large and complex steam pipeline network was optimized. The traditional way of evaluating the insulation project by relying on on-site measurement of the outer surface temperature of the steam pipeline was changed. There is no need to set up a large number of pipeline temperature measurement points, which reduces the investment in measurement personnel, measurement costs and measurement time, and speeds up the evaluation progress. Due to the use of a digital twin model consistent with the target steam pipeline network for simulation calculation, the accuracy of the insulation project evaluation is also improved, and significant progress has been made in the accuracy of the evaluation results, evaluation speed and economy, overcoming the shortcomings of the traditional evaluation methods. BRIEF DESCRIPTION OF THE DRAWINGS

[0024] Figure 1 It is a flow chart of a method for evaluating insulation engineering of a large and complex steam pipeline network based on a digital twin model according to the first embodiment of the present disclosure.

[0025] Figure 2 It is a model schematic diagram of the large-scale complex steam pipeline insulation engineering evaluation method based on the digital twin model in the first embodiment of the present disclosure.

[0026] Figure 3 It is a schematic diagram comparing the actual value, design value and qualified value of the heat flux density of the steam pipeline before the insulation modification in the second embodiment of the present disclosure.

[0027] Figure 4 It is a schematic diagram comparing the actual value, design value and qualified value of the heat flux density of the steam pipeline after the insulation transformation in the second embodiment of the present disclosure. DETAILED DESCRIPTION

[0028] The following is combined with specific embodiments and appendix Figure 1-4 The present disclosure is described in detail so that those skilled in the art can more fully understand the purpose, features and effects of the present disclosure.

[0029] Unless otherwise defined, all technical and scientific terms used in this disclosure have the same meaning as commonly understood by those skilled in the art to which this disclosure belongs. When the definition of a term in this disclosure conflicts with the meaning commonly understood by those skilled in the art to which this disclosure belongs, the definition described in this disclosure shall prevail.

[0030] The present invention provides a large-scale complex steam pipeline network insulation project evaluation method, electronic equipment and computer program product based on a digital twin model, so as to accurately and effectively evaluate the insulation project of a large-scale complex steam pipeline network.

[0031] Embodiment 1

[0032] As a specific embodiment of the present disclosure, this embodiment provides a large-scale complex steam pipe network insulation engineering evaluation method based on a digital twin model, referring to Figure 1 , Figure 2, the method comprises the following steps:

[0033] S1. Obtain structural data of the target steam pipeline network, and build a digital twin model based on the structural data of the target steam pipeline network

[0034] For the target steam pipeline network to be evaluated that has undergone insulation engineering or is planned to undergo insulation renovation, the structural data of the steam pipeline network is first obtained to provide a data basis for the construction of the digital twin model. The structural data of the target steam pipeline network includes the system flow chart and pipeline parameters of the target steam pipeline network, wherein the pipeline parameters include pipeline diameter, pipe length, wall thickness, insulation layer material, insulation layer thickness, and pipeline laying method. Furthermore, the structural data of the target steam pipeline network also includes key node information in the target steam pipeline network, including temperature instruments, pressure instruments, flow meters and their installation locations.

[0035] The structural data of the target steam pipeline network can be obtained through design drawings, completion drawings, and equipment lists. Furthermore, in order to improve the accuracy of the structural data of the target steam pipeline network, on-site surveying and mapping are used to verify that the structural data of the target steam pipeline network obtained is consistent with the actual situation. Acquiring the structural data of the target steam pipeline network from multiple data sources can ensure that the constructed digital twin model of the target steam pipeline network truly reflects the structure of the target steam pipeline network, thereby increasing the accuracy of the simulation.

[0036] Based on the obtained system flow chart, pipeline parameters, and key point information of the target steam pipe network, a digital twin model of the target steam pipe network is constructed. The constructed digital twin model of the target steam pipe network can accurately restore the topological structure, pipeline specifications, pipe fitting types, and location information of the target steam pipe network.

[0037] Optionally, the existing operating parameters (such as steam temperature, pressure, flow) and environmental parameters (such as ambient temperature and humidity) in the target steam network are collected. The operating parameters of the target steam network include operating parameters such as steam pressure, flow and temperature of steam production points and steam use points in the network, measurement parameters of instruments in the network, and design parameters and operating parameters of boilers, steam turbines, and desuperheaters, including flow, pressure, temperature, desuperheating water volume, and power generation parameters.

[0038] Furthermore, after the digital twin model of the target steam pipeline network is constructed, a model verification is performed on the digital twin model of the target steam pipeline network.

[0039] Specifically, performing model verification on the digital twin model of the target steam pipe network includes respectively obtaining measured values ​​and calculated values ​​of parameters of the target steam pipe network, and performing model verification according to the measured values ​​and the calculated values. The measured values ​​are obtained by measuring with instruments, and the calculated values ​​are obtained by simulation calculation using the digital twin model of the target steam pipe network.

[0040] In this embodiment, by constructing a digital twin model of the target steam pipeline network, the operation of the target steam pipeline network can be simulated, and the operating parameters of the target steam pipeline network can be accurately calculated, including temperature, pressure, flow, flow velocity, pressure drop, temperature drop condensation water, heat dissipation loss, heat flux density, and outer surface temperature of the insulation layer. The relationship between the outer surface temperature and the steam starting and ending temperatures, steam pressure and flow, ambient temperature, and ambient wind parameters can be calculated.

[0041] If the comparison between the measured value and the calculated value is in line with expectations, it is judged that the digital twin model of the target steam network meets the requirements. If the comparison between the measured value and the calculated value is not in line with expectations, it is judged that the digital twin model of the target steam network does not meet the requirements, and the digital twin model of the target steam network initially constructed needs to be corrected. Preferably, in the end, the relative error between the measured value and the calculated value of the parameter is not greater than the set threshold, and the confirmation of the digital twin model of the target steam network is completed. Through model verification, the high fidelity of the model can be achieved to ensure the consistency of the digital twin model of the target steam network with the target steam network.

[0042] In a feasible embodiment, the input includes flow and partial pressure and temperature data of steam production equipment and gas consumption equipment, and the flow, pressure and temperature of all steam production and consumption points can be calculated using the digital twin model of the target steam network. The corresponding parameter measured values ​​are measured using instruments. The measured values ​​and calculated values ​​of multiple parameters are compared, and then it is judged whether the digital twin model of the target steam network used for calculation meets the requirements based on the comparison results. Preferably, the set threshold can be selected from ±1% to ±3%. This embodiment does not limit the specific value of the set threshold, and those skilled in the art can determine the specific set threshold as needed.

[0043] The digital twin model of the target steam pipeline network constructed can accurately restore the topological structure, pipeline specifications, pipe types and location information of the pipeline network.

[0044] Furthermore, the outer surface temperature of the key pipeline is collected, and the temperature value calculated according to the calibrated digital twin model of the target steam pipeline network is compared with the collected temperature value to check the measurement accuracy of the measuring instrument. Since the digital twin model of the target steam pipeline network has been calibrated, the calculated value is closer to the actual value. If the error between the outer surface temperature of the pipeline collected by the measuring instrument and the calculated value is less than the threshold, it means that the error of the measuring instrument used for collection is small. Since infrared thermometers and other temperature measuring instruments are usually used in the prior art to collect the outer surface temperature of key pipelines, and infrared thermometers and other temperature measuring instruments may have large measurement errors, the accuracy of the temperature measuring instrument used can be judged by the above operation. The outer surface temperature directly measured by the existing method has not been tested by physical laws, and it is impossible to predict whether there is an error. If this measurement result is used as a basis for judgment, there is a lot of uncertainty.

[0045] S2. Calculate the insulation evaluation index parameters based on the constructed digital twin model of the target steam pipe network

[0046] Specifically, according to the constructed digital twin model of the target steam pipe network, the thermal insulation evaluation index parameters are calculated including:

[0047] S21. Establish a thermal insulation evaluation index system

[0048] The method of this embodiment is to evaluate the insulation project of a large and complex steam pipe network, so it is necessary to establish an insulation evaluation index system. The insulation index evaluation system comprehensively considers the heat loss evaluation index, the insulation integrity evaluation index and the environmental impact evaluation index. The insulation evaluation index system of this embodiment is divided into primary and secondary indicators, among which the heat loss evaluation index, the insulation integrity evaluation index and the environmental impact evaluation index are primary indicators.

[0049] Specifically, the heat loss evaluation index includes two secondary indicators: heat dissipation and heat flux density. Among them, pipeline heat dissipation refers to the heat lost from the outer surface of the pipeline to the surrounding environment during the calculation period. In the case of thermal insulation, it refers to the heat lost from the outer surface of the pipeline insulation to the surrounding environment during the calculation period; heat flux density refers to the heat dissipation of the pipeline per unit area. In the case of thermal insulation, it refers to the heat dissipation of the outer surface of the pipeline insulation per unit area.

[0050] The insulation integrity evaluation index includes three secondary indicators: insulation efficiency, insulation efficiency reduction ratio, and pipeline exposure ratio. Among them, the insulation efficiency of the pipeline refers to the ratio of the reduced heat dissipation before and after covering the insulation to the heat dissipation without covering the insulation; the insulation efficiency reduction ratio refers to the reduction ratio of the actual insulation efficiency relative to the designed insulation efficiency. This indicator can characterize the reduction of the actual insulation efficiency caused by factors such as the quality of insulation materials, construction quality, insulation material aging, and shedding of protective layers. The larger the value, the worse the insulation effect; the pipeline exposure ratio refers to the percentage of the length of the pipeline that is not covered with insulation to the total length of the pipeline. The uncovered insulation position includes the contact position between the pipeline and the pipe rack, the part that cannot be covered by the insulation material, the shedding of the insulation layer, and the valve flange and other special-shaped parts that are not covered with insulation.

[0051] The reduction ratio of thermal insulation efficiency is comprehensively judged by the steam starting and ending temperature, flow rate and pressure, and is set by trial and error. Initially, the parameter is set to 0, and then gradually increased, and finally the relative error between the measured value and the calculated value of the steam starting and ending temperature, flow rate and pressure parameters is within ±3%, and the value of the parameter can be determined. Therefore, this parameter can be used as a correction adjustment parameter for the digital twin model of the target steam network.

[0052] For the pipeline exposure ratio evaluation index, the larger the index value, the more serious the insulation layer damage. The pipeline exposure ratio is mainly set based on experience. Generally, the exposure ratio of newly built pipelines with intact appearance is set to 0.5%; the exposure ratio of pipelines with a long service life and damaged appearance is set to 1~2%; the exposure ratio of pipelines that use insulated pipe supports and have good effects is set to 0. Therefore, the value of the pipeline exposure ratio evaluation index can be determined based on the above situation.

[0053] The environmental impact assessment index includes two secondary indicators: four-season weighted heat loss and rainfall weighted heat loss. Among them, the four-season weighted heat loss is to calculate the heat loss evaluation index according to the operating parameters of the target steam pipeline network in the four seasons of spring, summer, autumn and winter, and finally perform weighted average according to the number of days corresponding to spring, summer, autumn and winter respectively. The four-season weighted heat loss includes the four-season weighted heat dissipation and the four-season weighted heat flux. In real situations, the influence of ambient temperature on the heat dissipation loss of the insulation layer and the external surface temperature cannot be ignored. Therefore, in order to ensure the accuracy of the evaluation results, the operating environment throughout the year is divided into four representative seasonal conditions of spring, summer, autumn and winter in the evaluation calculation.

[0054] Heat loss rainfall weighting is a weighted average calculation of heat loss evaluation indicators based on the actual number of rainy days at the target steam network location. Heat loss rainfall weighting includes heat dissipation rainfall weighting and heat flux rainfall weighting. Since rainy weather also has a significant impact on the heat dissipation loss of the insulation layer and the external surface temperature, evaluation indicators under rain (snow) conditions are added in this implementation.

[0055] This embodiment fully considers the influence of four-season weighting and rainfall weighting, and fully considers the influence of four-season working conditions and rainfall working conditions on thermal insulation.

[0056] This embodiment reasonably sets the thermal insulation evaluation index system, so as to more objectively reflect the thermal insulation effect of the thermal insulation project and achieve effective evaluation of the thermal insulation project.

[0057] S22, calculating the insulation evaluation index parameters in the established insulation evaluation index system according to the constructed digital twin model of the target steam pipe network

[0058] The thermal insulation evaluation index parameters in the thermal insulation evaluation index system are calculated respectively through the digital twin model of the target steam pipe network, wherein the heat loss evaluation index parameter is directly calculated according to the digital twin model of the target steam pipe network.

[0059] S3. Evaluate the thermal insulation effect of the target steam pipe network according to the calculated thermal insulation evaluation index parameter value.

[0060] In this embodiment, the thermal insulation effect of the target steam network is evaluated according to the actual value, the design value and the qualified value of the thermal insulation evaluation index.

[0061] Specifically, for each insulation evaluation index, there are corresponding design values, qualified values ​​and actual values. Among them, the design value is the value to be achieved by the target steam network in the design stage, and the qualified value is the minimum standard value for the target steam network. Only when the actual value is better than the qualified value, it means that the evaluation index is qualified, otherwise, the evaluation index is unqualified. For unqualified evaluation indicators, the percentage exceeding the qualified value can be used to characterize the degree of unqualified. At the same time, increasing the design value can make the insulation evaluation more comprehensive. For example, in one case, the difference between the actual value and the design value can be compared to judge the insulation situation.

[0062] For the heat dissipation index, the design heat dissipation refers to the heat dissipation calculated according to the digital twin model of the target steam pipeline network under the design conditions including intact insulation, no exposed pipelines, and insulation treatment at the pipe racks; the qualified heat dissipation refers to the allowable heat dissipation of pipelines at different temperatures specified in the national standard GB50264-2013, which can also be calculated according to the digital twin model of the target steam pipeline network; the actual heat dissipation refers to the heat dissipation calculated according to the digital twin model of the target steam pipeline network, taking into account the actual conditions such as the decrease in the insulation efficiency of the insulation layer and the partial exposure of the pipeline, combined with the temperatures of the steam supply point and the steam use point, and the outer surface temperature of the insulation layer, which characterizes the actual heat dissipation of the steam pipeline.

[0063] For the heat flux index, the design heat flux refers to the design heat dissipation per unit area; the qualified heat flux refers to the qualified heat dissipation per unit area; and the actual heat dissipation refers to the actual heat dissipation per unit area.

[0064] The thermal insulation efficiency index also includes the designed thermal insulation efficiency, qualified thermal insulation efficiency and actual thermal insulation efficiency. The designed thermal insulation efficiency refers to the ratio of the reduced designed heat dissipation before and after the covered insulation to the designed heat dissipation of the uncovered insulation; the qualified thermal insulation efficiency refers to the ratio of the reduced qualified heat dissipation before and after the covered insulation to the qualified heat dissipation of the uncovered insulation; the actual thermal insulation efficiency refers to the ratio of the reduced actual heat dissipation before and after the covered insulation to the actual heat dissipation of the uncovered insulation.

[0065] Furthermore, it also includes evaluating the energy-saving effect of the target steam pipe network, calculating the heat dissipation before and after the installation of the insulation project through the digital twin model of the target steam pipe network, and obtaining the energy saving amount. For example, if the heat dissipation before the installation of the insulation project is G1, and the heat dissipation after the installation of the insulation project is G2, then the energy saving amount = G2-G1. The energy saving amount can be converted into standard coal, so as to intuitively represent the energy saving effect of the insulation project.

[0066] Furthermore, based on the energy saving amount, the investment cost of the insulation project and the economic benefits brought by energy saving are comprehensively considered, and the time for recovering the investment is calculated, that is, the investment cost divided by the annual economic benefits brought by energy saving, which can be used to evaluate the economic rationality of the insulation project.

[0067] Furthermore, considering that the operation of the target steam network is dynamically changing, there will be a certain degree of difference in the operating parameters before and after the insulation replacement. If the calculation is still performed according to the working conditions before the insulation, the result will deviate from the actual situation. For example, before the replacement, the old insulation project is evaluated with the old working condition parameters, and the evaluation result is recorded as P1. After the replacement, the new insulation project is evaluated with the new working condition parameters, and the evaluation result is recorded as P2. The benchmark working conditions of the two evaluations are inconsistent. If P1 and P2 are compared separately, errors will occur.

[0068] Therefore, this embodiment uses the following benchmarks for evaluation based on the digital twin model of the target steam network.

[0069] Before replacing the insulation project, evaluate the old insulation project with the old working condition parameters, and the evaluation result is recorded as P 11 , the old working condition parameters are used to predict and evaluate the new insulation project, and the evaluation result is recorded as P 21 ;

[0070] After replacing the insulation project, the new insulation project is evaluated with new working condition parameters, and the evaluation result is recorded as P 22 , the old insulation project is simulated and evaluated with the new working condition parameters, and the evaluation result is recorded as P 12 .

[0071] The predicted effect evaluation of replacing the insulation project can be compared with P 11 and P 21 The prediction effect evaluation can be used as the feasibility basis for the insulation replacement project. 11 and P 21 All of them are evaluation results based on the old operating conditions parameters, so they are aimed at the changes in thermal insulation performance under the old operating conditions.

[0072] The actual effect evaluation of the insulation replacement project can be compared with P 22 and P 12 The actual effect evaluation can be used as the evaluation basis for replacing the insulation project. 22 and P 12 All of them are evaluation results based on new operating parameters, so they target changes in thermal insulation performance under new operating conditions.

[0073] The traditional method of evaluating thermal insulation performance by on-site measurement cannot obtain the above P 21 and P 12Evaluation results. The operating conditions of the target steam network are dynamically changing. For example, fluctuations in parameters such as steam flow, temperature, and pressure will affect the insulation effect. Environmental parameters such as air temperature, cloudy, rainy, and snowy weather conditions also affect the insulation effect. However, existing evaluation methods can only provide data before and after the insulation project, and are unable to capture these changes in time and accurately evaluate their impact on insulation. For example, if the temperature is simply measured and the change in operating conditions is ignored, the measured outer surface temperature of the pipeline is T1 under the old operating conditions before the insulation project is replaced, and the measured outer surface temperature of the pipeline is T2 under the new operating conditions after the insulation project is replaced. There are three situations between T1 and T2: T1>T2, T1=T2, and T1<T2. Then it is possible to conclude that the insulation is ineffective or even that the insulation has decreased, which is not in line with reality. Therefore, when evaluating the insulation project, it is necessary to consider the dynamics of the target steam pipe network operation, evaluate the changes in the operating conditions before and after the replacement of the insulation project separately, and fully consider the impact of the steam starting and ending temperatures, steam pressure and flow, ambient temperature, and ambient wind parameters on the outer surface of the pipeline, so as to obtain a correct evaluation conclusion. The evaluation method of this embodiment is more scientific and reasonable.

[0074] The large-scale complex steam pipeline insulation engineering evaluation method based on the digital twin model of this embodiment establishes a new insulation engineering evaluation method with higher calculation efficiency. Its calculation capacity is beyond the reach of manual calculation capacity in traditional evaluation methods.

[0075] Embodiment 2

[0076] As another specific embodiment of the present disclosure, this embodiment provides a specific example to illustrate a large-scale complex steam pipeline insulation engineering evaluation method based on a digital twin model and its effects.

[0077] The insulation assessment scope of a large and complex steam pipeline network of a petrochemical enterprise includes 9.8MPa and part of 4.5MPa steam pipeline network. The details are as follows:

[0078] The 9.8MPa steam pipeline includes: starting from the outlet of the last superheater of each boiler in the thermal power station to the inlet of each steam turbine and desuperheater;

[0079] The first-phase boiler steam production main pipe, the second-phase boiler steam production main pipe and the connecting pipes between the steam main pipes;

[0080] 4.5MPa steam pipeline: from the outlet of steam turbine and desuperheater to the outlet steam header of thermal power station;

[0081] Steam pipeline from the thermal power station outlet steam header to the chemical industry boundary area;

[0082] The steam pipeline from the steam manifold at the thermal power plant outlet to the oil refining boundary area, and from the oil refining boundary area to the steam production and steam use equipment entrance of each unit.

[0083] Table 1 is a schematic diagram of the structural data of a specific target steam pipeline network of a petrochemical enterprise provided in this embodiment. The structural data of the target steam pipeline network is obtained through design drawings and on-site field surveys of local pipelines. For each pipeline, its direction, connection relationship, pipe diameter (outer diameter × wall thickness), pipe length, pipe type and position, insulation layer material, insulation layer thickness, and pipeline laying method are indicated.

[0084]

[0085] A digital twin model is constructed based on the structural data of the target steam network, such as Figure 2 shown.

[0086] The digital twin model of the target steam pipeline network initially constructed was verified, where the measured and calculated values ​​of the parameters are shown in Table 2.

[0087]

[0088] The threshold is set to ±1%. According to Table 2, by comparing the measured temperature value and the calculated temperature value, the relative errors are less than ±1%, indicating that the digital twin model of the target steam pipeline network constructed in this embodiment meets the requirements.

[0089] According to the constructed digital twin model of the target steam pipe network, the insulation evaluation index parameters are calculated. Table 3 shows the heat loss (heat dissipation) data of each group of pipelines under different seasonal conditions of the target steam pipe network throughout the year.

[0090]

[0091] Table 4 shows the calculation data of total heat dissipation loss, equivalent standard coal volume and equivalent coal consumption throughout the year.

[0092]

[0093] It can be seen from Table 4 that the annual heat dissipation loss is 221737.7 GJ, which is 248511.6 GJ after weighting by rainfall. The annual heat dissipation loss is equivalent to 8343.4 t of standard coal, which is 9350.8 t after weighting by rainfall. The annual heat dissipation loss is equivalent to 4000 kcal fuel of 14600.9 t, which is 16363.9 t after weighting by rainfall.

[0094] The actual value, design value and qualified value of the heat flux density of the thermal power 9.8MPa and thermal power 4.5MPa steam pipelines are as follows: Figure 3 shown.

[0095] according to Figure 2It can be seen that the actual heat flux density of the thermal power 9.8MPa and thermal power 4.5MPa steam pipelines is greater than the qualified heat flux density, especially the thermal power 4.5MPa steam pipeline, the actual heat flux density exceeds the qualified heat flux density by 50%, and the actual heat flux density of the thermal power 9.8MPa steam pipeline also exceeds the qualified heat flux density by 20%.

[0096] The target steam pipe network was insulated and renovated under the old operating parameters, and the corresponding heat dissipation loss data of each group of pipelines under different seasonal operating conditions throughout the year are shown in Table 5. Among them, the insulation material used in the planned insulation renovation is aerogel insulation, and the material thickness is 70 mm.

[0097]

[0098] Table 6 shows the calculation data of the total heat dissipation loss, equivalent standard coal volume and equivalent coal consumption throughout the year after the insulation renovation.

[0099]

[0100] As shown in Table 6, after the insulation renovation, the annual heat loss is 99922.8GJ, and after rainfall weighting, it is 105749.4GJ. The annual heat loss is equivalent to 3759.8t of standard coal, and after rainfall weighting, it is 3979.1t. The annual heat loss is equivalent to 4000 kcal of fuel, which is 6579.7t, and after rainfall weighting, it is 6963.4t. The heat loss after the insulation renovation was reduced by 54.9%, and the heat loss weighted by rainfall was reduced by 57.4%.

[0101] After the insulation transformation, the actual value, design value and qualified value of the heat flux density of the thermal power 9.8MPa and thermal power 4.5MPa steam pipelines are as follows: Figure 4 shown.

[0102] according to Figure 4 If the petrochemical enterprise carries out insulation renovation according to the plan, the heat loss of its steam pipeline will be significantly reduced. The heat loss of the 4.5MPa steam pipeline of the thermal power plant meets the requirements, but the actual heat flux density of the 9.8MPa steam pipeline of the thermal power plant still exceeds the qualified heat flux density. Therefore, in order to meet the provisions of GB50264-2013, the petrochemical enterprise should modify the original insulation renovation plan and increase the insulation thickness of the 9.8MPa steam pipeline of the thermal power plant.

[0103] Considering that the unit price of aerogel insulation material is 16,000 yuan / square meter, the high-temperature waterproof aluminum foil is 16 yuan / square meter, and the unit price of aluminum sheet is 52 yuan / square meter, the construction cost is estimated at about 7,500 yuan per cubic meter of material. The investment and static payback period of insulation renovation are estimated as shown in Table 7.

[0104]

[0105] It can be seen from Table 7 that the average static payback period of insulation transformation investment is 3.58 years, which is 3.06 years after rainfall weighting. The static payback period of refinery line investment is the shortest, which is 2.55 years, which is 2.14 years after rainfall weighting. The static payback period of thermal power 4.5MPa line is the longest, which is 5.96 years, which is 4.96 years after rainfall weighting.

[0106] Embodiment 3

[0107] As a specific embodiment of the present disclosure, this embodiment provides a computer electronic device, including a memory, a processor, and a computer program stored on the memory, and the processor executes the computer program to implement the steps of the large-scale complex steam pipeline insulation engineering evaluation method based on the digital twin model in the above-mentioned embodiment one.

[0108] This embodiment provides a computer electronic device to implement the method of the first embodiment to achieve effective and accurate evaluation of large-scale complex steam pipe network insulation projects.

[0109] Embodiment 4

[0110] As a specific embodiment of the present disclosure, this embodiment provides a computer program product, including a computer program, which, when executed by a processor, implements the steps of the large-scale complex steam pipeline insulation engineering evaluation method based on the digital twin model in the above-mentioned embodiment one.

[0111] This embodiment provides a computer program product to implement the method of the first embodiment to achieve effective and accurate evaluation of large-scale complex steam pipe network insulation projects.

[0112] The above description is only a preferred embodiment of the present disclosure and does not constitute any other form of limitation to the present disclosure. Any modification or equivalent change made based on the technical essence of the present disclosure shall still fall within the scope of protection required by the present disclosure.

Claims

1. A method for evaluating the thermal insulation engineering of a large and complex steam pipe network based on a digital twin model, characterized in that: The method comprises: Acquire structural data of a target steam pipe network, and construct a digital twin model based on the structural data of the target steam pipe network, wherein the structural data of the target steam pipe network includes a system flow chart, pipeline parameters, and key point information of the target steam pipe network, and after constructing the digital twin model of the target steam pipe network based on the acquired system flow chart, pipeline parameters, and key point information of the target steam pipe network, perform model verification on the constructed digital twin model of the target steam pipe network; According to the constructed digital twin model of the target steam pipe network, the insulation evaluation index parameters are calculated, including establishing an insulation evaluation index system including a heat loss evaluation index, an insulation integrity evaluation index and an environmental impact evaluation index, wherein the heat loss evaluation index includes secondary indicators of heat dissipation and heat flux density, the insulation integrity evaluation index includes secondary indicators of insulation efficiency, insulation efficiency reduction ratio and pipeline exposed ratio, and the environmental impact evaluation index includes secondary indicators of heat loss four seasons weighted and heat loss rainfall weighted. Then, according to the constructed digital twin model of the target steam pipe network, the insulation evaluation index parameters in the established insulation evaluation index system are calculated; Wherein, the heat dissipation refers to the heat dissipated from the outer surface of the pipeline to the surrounding environment within the calculation period. In the case of thermal insulation, the heat dissipation refers to the heat dissipated from the outer surface of the pipeline insulation to the surrounding environment within the calculation period. The heat dissipation includes the designed heat dissipation, qualified heat dissipation, and actual heat dissipation. Whether the heat dissipation evaluation index is qualified is judged according to the comparison result between the actual heat dissipation and the qualified heat dissipation, and the comparison degree is determined according to the ratio of the difference between the actual heat dissipation and the qualified heat dissipation to the qualified heat dissipation; the heat flux density refers to the heat dissipation of the pipeline per unit area. In the case of thermal insulation, the heat flux density refers to the heat dissipation of the outer surface of the pipeline insulation per unit area. The heat flux density includes the designed heat flux density, qualified heat flux density, and actual heat flux density. Whether the heat flux density evaluation index is qualified is judged according to the comparison result between the actual heat flux density and the qualified heat flux density, and the comparison degree is determined according to the ratio of the difference between the actual heat flux density and the qualified heat flux density to the qualified heat flux density; The insulation efficiency refers to the ratio of the reduced heat dissipation before and after covering the insulation to the heat dissipation without covering the insulation. The insulation efficiency includes the designed insulation efficiency, the qualified insulation efficiency and the actual insulation efficiency. The insulation efficiency reduction ratio refers to the reduction ratio of the actual insulation efficiency relative to the designed insulation efficiency. The larger the insulation efficiency reduction ratio, the worse the insulation effect. The pipeline exposure ratio refers to the percentage of the length of the pipeline that is not covered with insulation to the total length of the pipeline. The larger the pipeline exposure ratio, the more serious the damage of the insulation layer. According to the calculated insulation evaluation index parameter value, the insulation effect of the target steam pipe network is evaluated, including using the value calculated for the insulation evaluation index parameter as the actual value of the evaluation index, comparing the actual value of the evaluation index with a qualified value, and judging whether the evaluation index is qualified according to the comparison result between the actual value of the evaluation index and the qualified value, wherein the evaluation of the insulation effect of the target steam pipe network includes evaluating the insulation effect of the target steam pipe network before and after the insulation replacement project under the old operating parameters and the new operating parameters based on the digital twin model of the target steam pipe network: Before replacing the insulation project, evaluate the old insulation project with the old working condition parameters, and the evaluation result is recorded as P 11 , the old working condition parameters are used to predict and evaluate the new insulation project, and the evaluation result is recorded as P 21 ; After replacing the insulation project, the new insulation project is evaluated with new working condition parameters, and the evaluation result is recorded as P 22 , the old insulation project is simulated and evaluated with the new working condition parameters, and the evaluation result is recorded as P 12 ; Compare P 11 and P 21 Carry out the prediction effect evaluation of the replacement insulation project and compare P 22 and P 12 Carry out actual effect evaluation of insulation replacement project.

2. According to the method for evaluating the thermal insulation engineering of a large and complex steam pipe network based on a digital twin model according to claim 1, it is characterized in that: The obtaining of the structural data of the target steam pipeline network and the construction of the digital twin model based on the structural data of the target steam pipeline network include obtaining the structural data of the target steam pipeline network through design drawings, as-built drawings, equipment lists and on-site surveying and mapping, so as to improve the consistency between the constructed digital twin model of the target steam pipeline network and the target steam pipeline network.

3. The method for evaluating the thermal insulation engineering of a large and complex steam pipe network based on a digital twin model according to claim 1 is characterized in that: The model verification of the constructed digital twin model of the target steam pipeline network includes respectively obtaining the measured values ​​and calculated values ​​of the parameters of the target steam pipeline network, and performing model verification based on the measured values ​​and the calculated values, wherein the measured values ​​are obtained by measuring with instruments, and the calculated values ​​are obtained by simulating and calculating the digital twin model of the target steam pipeline network. When the relative error between the measured value and the calculated value is not greater than a set threshold, the verification passes; when the relative error between the measured value and the calculated value is greater than the set threshold, the verification fails, and the digital twin model of the target steam pipeline network that fails the verification is corrected, wherein the threshold is ±1% to ±3%.

4. The method for evaluating the thermal insulation engineering of a large and complex steam pipe network based on a digital twin model according to claim 3 is characterized in that: After model verification is performed on the constructed digital twin model of the target steam pipeline network, the outer surface temperature of the pipeline of the target steam pipeline network is collected, and the outer surface temperature of the pipeline is calculated based on the verified digital twin model of the target steam pipeline network. The collected temperature of the pipeline is compared with the calculated temperature to check the error of the measuring instrument used to collect the outer surface temperature of the pipeline to determine the accuracy of the measuring instrument.

5. The method for evaluating the thermal insulation engineering of a large and complex steam pipe network based on a digital twin model according to claim 1 is characterized in that: The pipeline parameters include pipeline diameter, pipe length, wall thickness, insulation layer material, insulation layer thickness, and pipeline laying method. The key point information includes temperature instruments, pressure instruments, flow meters and their installation locations.

6. The method for evaluating the thermal insulation engineering of a large and complex steam pipe network based on a digital twin model according to claim 1 is characterized in that: The obtaining of structural data of the target steam pipe network and constructing a digital twin model based on the structural data of the target steam pipe network includes performing operation simulation of the target steam pipe network through the constructed digital twin model of the target steam pipe network, and calculating the operation parameters of the target steam pipe network, including calculating the temperature, pressure, flow, flow velocity, pressure drop, condensation water volume due to temperature drop, heat dissipation loss, heat flux density, outer surface temperature of the insulation layer, and calculating the relationship between the outer surface temperature and the starting and ending temperatures of the steam, the steam pressure and flow, the ambient temperature, and the ambient wind parameters.

7. The method for evaluating the thermal insulation engineering of a large and complex steam pipe network based on a digital twin model according to claim 1 is characterized in that: The calculation of the insulation evaluation index parameters based on the constructed digital twin model of the target steam pipeline network includes calculating the heat loss evaluation index according to the operating parameters of the target steam pipeline network in the four seasons of spring, summer, autumn and winter, and finally performing weighted average calculation according to the number of days corresponding to spring, summer, autumn and winter respectively to obtain the four-season weighted heat loss, wherein the four-season weighted heat loss includes the four-season weighted heat dissipation and the four-season weighted heat flux density; the heat loss evaluation index is weighted according to the actual number of rainfall days at the location of the target steam pipeline network to obtain the heat loss rainfall weighting, wherein the heat loss rainfall weighting includes the heat dissipation rainfall weighting and the heat flux density rainfall weighting.

8. The method for evaluating thermal insulation engineering of a large and complex steam pipe network based on a digital twin model according to any one of claims 1 to 7, characterized in that: The insulation effect of the target steam pipe network is evaluated according to the insulation evaluation index parameter value obtained by calculation, including evaluating the energy-saving effect of the target steam pipe network, and the heat dissipation before and after the installation of the insulation project is calculated through the digital twin model of the target steam pipe network to obtain the energy saving amount, which is G2-G 1， The heat dissipation before the installation of the insulation project is G1, and the heat dissipation after the installation of the insulation project is G2.

9. A computer electronic device comprising a memory, a processor and a computer program stored in the memory, characterized in that: The processor executes the computer program to implement the steps of the method according to any one of claims 1 to 8.

10. A computer program product, comprising a computer program, characterized in that When the computer program is executed by a processor, the steps of the method according to any one of claims 1 to 8 are implemented.

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