A method and system for constructing an asset value model in a digital twin engine

Abstract

The application discloses a construction method and system of an asset value model in a digital twin engine, characterized in that the method comprises the following steps: step 1, measuring the importance of business based on a business model of building energy consumption assets, and constructing a first asset value model according to the business importance; step 2, establishing a correlation between the building energy consumption assets and productivity, and constructing a second asset value model according to the productivity loss caused by the building energy consumption assets; and step 3, calculating the energy use efficiency of the building according to optimal decision variables, and predicting the degradation index of the assets through the energy use efficiency, the first asset value model and the second asset value model to generate a maintenance scheme of the assets. The application has a clever concept and excellent effect, and can realize accurate evaluation of asset value by establishing the correlation between the assets and different businesses and different efficiencies, so that the optimal and most accurate asset maintenance scheme is generated.

Description

TECHNICAL FIELD

[0001] The present application relates to the field of data processing, and more particularly, to a method and system for constructing an asset value model in a digital twin engine. BACKGROUND

[0002] A building is composed of areas and assets that collectively serve some business functions and objectives, and exists in a physical entity. A digital twin is a computer replica of the physical entity of the building, which exists simultaneously with the physical entity and seamlessly exchanges data, and can calculate the energy consumption of the building under different conditions. Connecting the physical entity with its digital twin usually helps to achieve operation and planning purposes, which involves energy efficiency, asset performance, residential comfort, and other user-defined measurement indicators.

[0003] However, the use of relevant data in the digital twin model in the prior art is not sufficient, and it is difficult to effectively obtain a use guidance scheme for the relevant assets according to the relevant data.

[0004] To solve the above problems, the present application provides a method and system for constructing an asset value model in a digital twin engine. SUMMARY

[0005] To solve the problems in the prior art, the present application provides a method and system for constructing an asset value model in a digital twin engine, which is used to realize prediction of asset degradation and generation of asset maintenance scheme by constructing a first asset value model and a second asset value model.

[0006] The present application adopts the following technical solutions.

[0007] In a first aspect, the present application relates to a method for constructing an asset value model in a digital twin engine, which comprises the following steps: Step 1, measuring the importance of business based on a business model of building energy consumption assets, and constructing a first asset value model according to the business importance; Step 2, establishing a correlation between building energy consumption assets and productivity, and constructing a second asset value model according to the productivity loss caused by building energy consumption assets; Step 3, calculating the energy use efficiency of the building according to the optimal decision variable, and predicting the degradation index of the asset and generating a maintenance scheme for the asset through the energy use efficiency, the first asset value model and the second asset value model.

[0008] Preferably, the business model of the building energy consumption assets is the operating state, asset wear and performance improvement of all energy consumption devices in the building under different business requests.

[0009] Preferably, the business importance is the priority of the business request, which is determined by the comprehensive evaluation of the asset wear, area performance improvement, area priority, asset priority and business priority corresponding to the business.

[0010] Preferably, the correlation between the building energy consumption assets and the productivity comprises a correlation between failure of the building energy consumption assets and loss of efficiency, and a correlation between the loss of efficiency and loss of productivity.

[0011] Preferably, the optimal decision variable comprises an independent characteristic variable that has an impact on operation of the building energy consumption assets; and the independent characteristic variable comprises an environmental variable, a building construction plan variable, and a building use target variable.

[0012] Preferably, the energy use efficiency of the building is determined by calculating a sum of energy use power consumptions of all the building energy consumption assets under the premise of satisfying the independent characteristic variable.

[0013] Preferably, an optimal scheme of energy use of the building is determined according to the first asset value model and the second asset value model under the constraint of the independent characteristic variable, and the energy use efficiency of the building is calculated based on the optimal scheme.

[0014] Preferably, a transformation matrix between the building energy consumption assets is established according to the maintenance scheme, so as to obtain a change relationship of asset loss of other assets after maintenance of a single asset.

[0015] Preferably, an optimal maintenance scheme of the asset is generated according to the transformation matrix between the building energy consumption assets and the degradation index of the asset.

[0016] In the second aspect, the present application relates to a system for constructing an asset value model in a digital twin engine.

[0017] The present application has the advantages that, compared with the prior art, the system for constructing an asset value model in a digital twin engine can realize prediction of asset degradation and generation of an asset maintenance scheme by constructing a first asset value model and a second asset value model.

[0018] The present application also has the advantages that:

[0019] 1. The first asset value model in this invention is established based on the priority of different business operations. Since the effects achieved by different businesses and the costs to energy-consuming assets vary under the same or similar energy consumption conditions, establishing the first asset value model effectively analyzes the importance and priority of business operations. Under the same building usage requirements, the optimal and most suitable business operations can be selected, and based on this, asset degradation indicators and maintenance plans can be obtained, maximizing the reduction of waste in the use of building energy-consuming assets.

[0020] 2. In existing technologies, it is usually difficult to actually assess the consumption caused by building energy assets, nor is it possible to measure the value generated by building energy assets. In this application, however, various user experiences in the building are transformed into productivity indicators, and a quantitative correlation is established between these productivity indicators and building energy assets, thereby enabling targeted acquisition of reasonable asset usage plans.

[0021] 3. In the method of this invention, the energy efficiency of assets is calculated through the first and second asset value models. Based on this, a transformation matrix is ​​established to obtain the correlation between the increase and decrease in losses of multiple resources caused by various maintenance schemes, thereby obtaining the optimal maintenance plan for assets at a global level considering all assets. Attached Figure Description

[0022] Figure 1 This is a schematic diagram illustrating the steps of constructing an asset value model in a digital twin engine according to the present invention.

[0023] Figure 2 This is a schematic diagram of the first asset value model and the second asset value model in the method for constructing an asset value model in a digital twin engine according to the present invention. Detailed Implementation

[0024] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of this invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of this invention. The embodiments described in this application are merely some embodiments of this invention, and not all embodiments. Based on the spirit of this invention, other embodiments obtained by those skilled in the art without creative effort are all within the protection scope of this invention.

[0025] Figure 1 This is a schematic diagram illustrating the steps of constructing an asset value model in a digital twin engine according to the present invention. Figure 1 As shown, the first aspect of the present invention relates to a method for constructing an asset value model in a digital twin engine, the method comprising steps 1 to 3.

[0026] Step 1, measure the business importance of the business model based on the building energy consumption assets, and build a first asset value model according to the business importance.

[0027] It can be understood that the building energy consumption assets in the present application can include energy consumption equipment for improving various indicators of the building in the building, which can include various electrical and electronic equipment, and can also include various comprehensive equipment that can be reasonably applied to the building in existing technologies or future technologies through solar energy, heat energy, etc. to realize energy conversion and work. For example, air conditioning units, heating and ventilation equipment, etc.

[0028] In the present application, a corresponding digital twin engine can be established, so as to analyze and process various digital indicators related to such equipment, so as to realize reasonable calling of the equipment under various conditions and various targets in an optimal way, so as to achieve the purpose of serving the building environment and work efficiency.

[0029] Preferably, the business model of the building energy consumption assets is the running state, asset loss and efficiency improvement of all energy consumption equipment in the building under different business requests.

[0030] It is easy to understand that the business model of the building energy consumption assets can include various ways in which the building energy consumption assets can be reasonably operated, such as starting, stopping, running at various power consumption levels, and variable frequency operation of air conditioning units, etc. Since the assets can correspond to different running states, different losses and efficiencies in the process of realizing different businesses, these indicators are also recorded in the asset business model.

[0031] It should be noted that the running state of the asset can include, for example, the running power of the equipment such as air conditioner, and the starting condition of each component. The loss condition can include the natural loss of the equipment during operation, for example, when the running life of a certain air conditioner is determined, the service life will decrease with the continuation of the state. In other words, when the air conditioner continues to run in the current running state for a long time, the present application can determine when the air conditioning unit needs to be detected, maintained or repaired.

[0032] Preferably, the business importance is the priority of the business request, which is determined by the comprehensive evaluation of the asset loss, regional efficiency improvement, regional priority, asset priority and business priority corresponding to the business.

[0033] It can be understood that the business importance described in the application can prioritize a plurality of different businesses of the device, so that the device can be reasonably operated by calling the business with higher priority of the device under the same conditions. For example, when there are a plurality of air conditioning units in a certain area, in order to ensure that the air conditioning units will not run at an excessively high power and rapidly reduce the service life of the device, only a plurality of air conditioning units can be started at the same time, and run at a lower power for a long time.

[0034] The method in the application can calculate the asset consumption corresponding to the business of each device in each business operation mode, and the performance improvement of a region in the building to which the device corresponds. Through comprehensive analysis, the priority can be reasonably obtained. In the above index, the region priority represents whether the region corresponding to the device is an important region in the building. For example, the purpose of the region corresponding to the device is a public office area, and the region corresponding to another device is a parking lot. Therefore, in the case of insufficient power supply, the priority of the air conditioning device in the public office area should be relatively high.

[0035] In addition, the asset priority is used to represent the importance of a plurality of different devices, for example, the importance of the air conditioning device is higher than that of various small sensor devices, and the like. The performance improvement refers to the same two devices under the condition of similar asset consumption. If the effect of improving the environmental index of the building by one device is more obvious, the value of the region performance improvement index of the device will also be correspondingly higher.

[0036] In the application, the business priority can be understood as the importance between different business requests. For example, in the same region, the demand for heating or cooling can be higher than the demand for ventilation or air filtration. Therefore, in the same or same type of device, the order of responding to different businesses can also be realized according to the business priority.

[0037] Figure 2 A schematic diagram of a first asset value model and a second asset value model in a method for constructing an asset value model in a digital twin engine of the application. As shown in Figure 2 The first asset value model in the application can automatically generate the priority of the business and sort the business after obtaining the related data of various business models of various devices.

[0038] Step 2, establish the correlation between building energy consumption assets and productivity, and construct a second asset value model according to the productivity loss caused by building energy consumption assets.

[0039] It is easy to understand that the building energy consumption assets cannot be directly associated with the productivity. The productivity described herein mainly refers to the work efficiency of the office personnel or the residential personnel in the building where the building energy consumption assets are located, which is affected by various environmental factors, and of course can also include the productivity generated by various equipment in the building during normal operation, such as the production of various products.

[0040] In order to associate the operation of the energy consumption assets with the productivity, the present application considers the efficiency of the energy consumption assets as an intermediate variable to establish the association.

[0041] Preferably, the association between the building energy consumption assets and the productivity includes the association between the failure of the building energy consumption assets and the loss of efficiency, and the association between the loss of efficiency and the loss of productivity.

[0042] It can be understood that in the present application, the association between the failure of the building energy consumption assets and the loss of efficiency can consider the loss of the total energy efficiency of the building when a certain asset fails. For example, when the air conditioning unit in a certain area of the building fails and cannot produce corresponding temperature rise or temperature drop, the ambient temperature will cause the work efficiency of the personnel in a certain office area to decrease, and at the same time will cause some factory equipment to operate abnormally, thereby existing the risk of failure. In the present application, such abnormal ambient temperature can be used as an important factor for calculating the loss of efficiency, and the failure risk of these factory equipment can be converted into a part of the loss of efficiency index. In this way, the association between the assets and the efficiency is obtained.

[0043] On the other hand, after obtaining the efficiency index, the loss of productivity can be further obtained according to the efficiency index. For example, when the equipment of the factory has a 10% possibility of shutdown, the product of the total length of the equipment shutdown and the total output of the equipment can further represent the loss of productivity. In the present application, the direct association between the assets and the productivity can be quantitatively and intuitively obtained in this way.

[0044] It can be seen that the second asset value model actually realizes the analysis of the importance of the assets through the association between the energy consumption assets and the productivity.

[0045] Step 3, calculating the energy use efficiency of the building according to the optimal decision variable, and predicting the degradation index of the assets through the energy use efficiency, the first asset value model and the second asset value model to generate a maintenance scheme of the assets.

[0046] Preferably, the optimal decision variable includes an independent characteristic variable which has an impact on the operation of the building energy consumption assets; the independent characteristic variable includes an environmental variable, a building construction plan variable and a building use target variable.

[0047] In the process of obtaining the optimal solution of resource usage, constraints need to be established according to the influence of various factors such as environment. Such constraints in the present application are referred to as optimal decision variables. Specifically, this variable can include multiple different and completely independent characteristic variables. For example, weather conditions, temperature, humidity, lighting conditions, etc. can also include building maintenance or construction plans, various equipment downtime maintenance conditions, and building use targets or user satisfaction indicators, etc. The constraints of these indicators can be established in a quantitative manner, for example, when the atmospheric temperature is 35 degrees, the indoor environment temperature of the building is still ensured to be 25 degrees, etc.

[0048] Preferably, the optimal solution of building energy usage is determined according to the first asset value model and the second asset value model with independent characteristic variables as constraints, and the energy usage efficiency of the building is calculated based on the optimal solution.

[0049] In the present application, the optimal decision variable can be used as a constraint to reasonably select the usage and control method of the asset. For example, in order to reduce the temperature in a certain area, the use of some high-heat devices can be reduced, or the use power of the air conditioner can be increased. By using the optimal decision variable as a constraint and the models generated in steps 1 and 2, the optimal one can be selected from a variety of different business methods.

[0050] In the present application, the optimal solution is selected from all solutions, and all solutions are essentially permutations and combinations of the business states of various devices. After invalid solutions are excluded by constraints, the two models in the present application can realize the sorting of solutions, and the highest ranked solution automatically becomes the optimal solution in the present application.

[0051] After obtaining the optimal solution, the energy usage efficiency of the building can be determined according to the different business states of different devices involved in the solution. By summing the power of the current device under each business, the total energy consumption power of the optimal solution can be obtained.

[0052] Preferably, according to the maintenance plan, a transformation matrix between building energy consumption assets is established to obtain the change relationship of asset degradation of other assets after maintenance of a single asset. Preferably, according to the transformation matrix between building energy consumption assets and the degradation index of the asset, an optimal maintenance plan of the asset is generated.

[0053] It can be understood that the maintenance scheme in the application is also various, although the total energy consumption and the wear of each device can be obtained, but different maintenance schemes can lead to the recovery of the wear of multiple assets to different degrees, therefore, in the method of the application, the transformation matrix can be established.

[0054]

[0055] In the matrix, for any maintenance scheme (T; k, l), there can be a correlation between each device. For example, when the first device is maintained and the service life is improved by 1 year, the second device will be improved by δ 12 This time of service life. Therefore, according to the transformation matrix, the corresponding service life of all devices can be easily calculated regardless of the maintenance scheme, so that the optimal scheme can be selected from multiple maintenance schemes. In the application, T; k, l are asset life, maintenance type and asset number respectively.

[0056] The second aspect of the application relates to a system for constructing an asset value model in a digital twin engine, which is used to implement the method for constructing an asset value model in a digital twin engine as described in the first aspect of the application.

[0057] The application has the beneficial effect that, compared with the prior art, the method and system for constructing an asset value model in a digital twin engine can realize the prediction of asset degradation and the generation of asset maintenance schemes by constructing a first asset value model and a second asset value model. The application has a clever concept and excellent effect, and can accurately evaluate the asset value by establishing the correlation between the asset and different businesses and different efficiencies, thereby generating the optimal and most accurate asset maintenance scheme.

[0058] Finally, it should be noted that the above examples are only used to illustrate the technical solutions of the application and not to limit it, although the application has been described in detail with reference to the above examples, those skilled in the art should understand that the specific embodiments of the application can be modified or replaced, without departing from the spirit and scope of the application, any modification or equivalent replacement, which should be covered within the protection scope of the claims of the application.

Claims

1. A method for constructing an asset value model in a digital twin engine, characterized in that, The method comprises the following steps: Step 1, judging the business importance based on the business model of building energy consumption assets, and constructing a first asset value model according to the business importance; The business model of the building energy consumption assets is that all energy consumption devices in the building correspond to the operating state, asset wear and tear and performance improvement under different business requests; Step 2, establishing the correlation between the building energy consumption assets and productivity, and constructing a second asset value model according to the productivity loss caused by the building energy consumption assets; Step 3, calculating the energy use efficiency of the building according to the optimal decision variable, and predicting the asset degradation index through the energy use efficiency, the first asset value model and the second asset value model to generate the asset maintenance scheme; The optimal decision variable includes independent characteristic variables that have an impact on the operation of the building energy consumption assets; The independent characteristic variables include environmental variables, building construction plan variables and building use target variables.

2. The asset value model construction method of the digital twin engine according to claim 1, wherein: The business importance is the priority of the business request, which is determined by the comprehensive evaluation of asset wear and tear, regional performance improvement, regional priority, asset priority and business priority corresponding to the business.

3. The asset value model construction method of the digital twin engine according to claim 2, wherein: The correlation between the building energy consumption assets and productivity includes the correlation between the failure of the building energy consumption assets and the performance loss, and the correlation between the performance loss and the productivity loss.

4. The asset value model construction method of the digital twin engine according to claim 3, wherein: The energy use efficiency of the building is determined by calculating the sum of energy use power consumption of all building energy consumption assets in the building under the premise of meeting the independent characteristic variables.

5. The asset value model construction method of the digital twin engine according to claim 4, wherein: The optimal scheme of energy use of the building is determined according to the first asset value model and the second asset value model with the independent characteristic variables as the constraint condition, and the energy use efficiency of the building is calculated based on the optimal scheme.

6. The asset value model construction method of the digital twin engine according to claim 5, wherein: According to the maintenance scheme, a transformation matrix between the building energy consumption assets is established to obtain the change relationship of asset wear and tear of other assets after maintenance of a single asset.

7. The asset value model construction method of the digital twin engine according to claim 6, wherein: According to the transformation matrix between the building energy consumption assets and the asset degradation index, the optimal maintenance scheme of the asset is generated.

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