A method for real asset calibration

Abstract

This invention discloses a method for calibrating physical assets, comprising the following steps: Step 1, asset classification; Step 2, condition determination; Step 3, market segmentation; Step 4, price estimation; Step 5, model establishment; Step 6, model calibration; Step 7, weight analysis; Step 8, integration calculation; Step 9, asset calibration. This invention improves the convenience of calibration management by systematically labeling physical assets and recording the analysis results in the corresponding labeled entities, facilitating subsequent review and processing of the calibration process. Market segmentation refines the market scope of physical assets, incorporating the impact of geographical location on asset calibration, thus enhancing the practicality of the calibration method. Furthermore, by establishing a calibration model based on existing physical asset calibration results, and then combining the model calibration results with the estimated price according to the model calibration weights, the accuracy of asset calibration is improved.

Description

Technical Field

[0001] This invention relates to the field of physical asset valuation technology, specifically a method for valuing physical assets. Background Technology

[0002] Asset valuation involves analyzing and calculating the value of an individual or group. The valuation results can represent the wealth level of an individual or group to a certain extent. Currently, physical asset valuation is commonly used to analyze and calculate the physical assets of individuals or teams, and it has been widely applied in the field of data statistical analysis. However, existing physical asset valuation methods make it difficult to review and process the valuation process later, thus affecting the convenience of valuation management. Furthermore, the influence of regional markets on assets is not incorporated into the physical asset valuation process, reducing the practicality of the valuation method. At the same time, the lack of a single valuation benchmark affects the accuracy of asset valuation. Therefore, it is necessary to design a physical asset valuation method. Summary of the Invention

[0003] The purpose of this invention is to provide a method for valuing physical assets in order to solve the problems mentioned in the background art.

[0004] To achieve the above objectives, the present invention provides the following technical solution: a method for physical asset valuation, comprising the following steps: Step 1, physical asset classification; Step 2, condition determination; Step 3, market segmentation; Step 4, price estimation; Step 5, model establishment; Step 6, model calibration; Step 7, weight analysis; Step 8, integration calculation; Step 9, asset valuation.

[0005] In step one above, all physical assets that need to be labeled are first labeled in sequence, then an orderly labeling record table is established according to the labels, and then the types of physical assets are classified according to the labels in sequence, and the classification results are recorded in the labeling record table.

[0006] In step two above, the state of the physical object is measured sequentially according to the label, and then the results of the physical object measurement are recorded in the calibration record table.

[0007] In step three above, the region where the physical object is located is recorded, then the market data in the corresponding region is retrieved, and then the corresponding data is searched from the market data according to the label. The data is then screened and the screened data is recorded in the calibration record table.

[0008] In step four above, the screening data in the calibration record table is combined with the results of the physical measurement to estimate the value of the physical assets, and the estimated results are recorded in the calibration record table.

[0009] In step five above, the existing physical calibration results are entered into the model, then the corresponding physical type and state are retrieved, and then the physical calibration model is established.

[0010] In step six above, the physical information in the calibration record table is substituted into the physical calibration model according to the label, the model calibration result is calculated, and the model calibration result is recorded in the calibration record table.

[0011] In step seven above, the weight of the model calibration is calculated based on the size of the integrated data, and the weights are recorded in the calibration record table in sequence.

[0012] In step eight above, the model calibration results, the weight of the model calibration, and the prediction results are combined according to the label to calculate the assets of each independent label entity, and the assets of each independent label entity are recorded in the calibration record table.

[0013] In step nine above, all assets with labels in the calibration record table are superimposed and calculated, and the result of the superposition calculation is recorded in the calibration record table, thus completing the calibration process for all physical assets.

[0014] Preferably, in step one, the classification rule for physical objects is as follows: first, determine the purpose of the physical object; then, determine whether the physical object can be put into production based on the purpose; then, determine the physical objects that can be put into production as production capacity objects, and determine the physical objects that cannot be put into production as non-production capacity objects.

[0015] Preferably, in step two, the rules for measuring the production capacity of physical objects are as follows: first, record the output products of the physical objects; then, calculate the output rate of the physical objects; then, combine the output rate to calculate the total output value of the physical objects per unit time; then, calculate the output loss rate of the physical objects; and finally, measure the current damage rate of the physical objects.

[0016] Preferably, in step two, the determination rules for non-productive physical objects are as follows: first, determine the material of the object; then, measure the size of the object; and finally, detect the breakage rate of the object.

[0017] Preferably, in step three, the rules for filtering the data are as follows: first, the data are marked on a coordinate system; then, the linear equation corresponding to the entire data chain is calculated by combining all the data; subsequently, the correlation value between each data point and the linear equation is calculated; and finally, data with correlation values ​​less than the minimum correlation coefficient are deleted.

[0018] Preferably, in step four, the rule for estimating the production capacity of physical goods is as follows: first, the current damage rate of the physical goods is combined with the output loss rate of the physical goods to calculate the amount of damage to the physical goods per unit time; then, the total output value of the physical goods per unit time is combined with the screening data to calculate the profit value of the physical goods per unit time; and finally, the physical goods are estimated by combining the amount of damage to the physical goods per unit time, the profit value of the physical goods per unit time, and the screening data.

[0019] Preferably, in step four, the rule for estimating non-production-related physical goods is as follows: first, the price is calculated by combining the material and size of the physical goods, and then the price calculation result is combined with the breakage rate of the physical goods to estimate the physical goods.

[0020] Preferably, in step five, the rules for establishing the physical calibration model are as follows: first, the physical state is marked; then, the physical state is combined with the calibration price to establish a price calibration formula for the physical state; then, all physical objects of the same type are integrated and analyzed to calculate the simulated variables of the price calibration formula; and then, the simulated variables are added to the price calibration formula to obtain a calibration model based on the physical state.

[0021] Compared with existing technologies, the beneficial effects of this invention are as follows: This method for physical asset calibration, by systematically labeling physical assets during the calibration process and then recording the analysis results into the corresponding labeled entities, facilitates subsequent review and processing of the calibration process, thereby improving the convenience of calibration management. By dividing the market scope based on the location of the physical assets, the influence of the region on assets is superimposed into the physical asset calibration process, improving the practicality of the calibration method. By establishing a calibration model based on existing physical asset calibration results, and then calculating the weight of the model calibration according to the size of the integrated data, the model calibration results are combined with the estimated price to calibrate the physical assets according to the weight, thereby improving the accuracy of asset calibration. Attached Figure Description

[0022] Figure 1 This is a flowchart of the method of the present invention. Detailed Implementation

[0023] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0024] Please see Figure 1The present invention provides an embodiment of a method for physical asset valuation, comprising the following steps: Step 1, physical asset classification; Step 2, condition determination; Step 3, market segmentation; Step 4, price estimation; Step 5, model building; Step 6, model calibration; Step 7, weight analysis; Step 8, integration calculation; Step 9, asset valuation.

[0025] In step one above, all physical assets that need to be labeled are first labeled sequentially, then an orderly labeling record table is established based on the labels, and then the types of physical assets are classified according to the labels, and the classification results are recorded in the labeling record table. The classification rules for physical asset types are as follows: first, determine the purpose of the physical asset, then determine whether the physical asset can be put into production based on the purpose, and then classify physical assets that can be put into production as production capacity physical assets, and classify physical assets that cannot be put into production as non-production capacity physical assets.

[0026] In step two above, the state of the physical objects is measured sequentially according to the labels, and the results of the physical object measurements are then recorded in the calibration record table. The measurement rules for production capacity objects are as follows: first, record the output products of the physical object; then, calculate the output rate of the physical object; then, combine the output rate to calculate the total output value of the physical object per unit time; then, calculate the output loss rate of the physical object; and finally, measure the current damage rate of the physical object. The measurement rules for non-production capacity objects are as follows: first, determine the material of the physical object; then, measure the size of the physical object; and finally, detect the breakage rate of the physical object.

[0027] In step three above, the location of the physical object is recorded, then market data in the corresponding region is retrieved, and then the corresponding data is searched from the market data according to the label. The data is then screened and the screened data is recorded in the calibration record table. The rules for screening the data are as follows: first, the data is marked on the coordinate system, then the linear equation corresponding to the entire data chain is calculated by combining all the data, then the correlation value between each data point and the linear equation is calculated, and finally the data with a correlation value less than the minimum correlation coefficient is deleted.

[0028] In step four above, the screening data in the calibration record table is combined with the results of physical measurement to estimate the value of the physical assets, and the estimation results are recorded in the calibration record table. The rules for estimating the value of production capacity-related physical assets are as follows: First, the current damage rate of the physical asset is combined with the output loss rate of the physical asset to calculate the amount of damage per unit time. Then, the total output value of the physical asset per unit time is combined with the screening data to calculate the profit value of the physical asset per unit time. Finally, the physical asset is estimated by combining the amount of damage per unit time, the profit value per unit time, and the screening data. The rules for estimating the value of non-production capacity-related physical assets are as follows: First, the price is calculated by combining the material and size of the physical asset. Then, the price calculation result is combined with the breakage rate of the physical asset to estimate the value of the physical asset.

[0029] In step five above, the existing physical calibration results are entered into the model, then the corresponding physical types and states are retrieved, and then a physical calibration model is established. The rules for establishing the physical calibration model are as follows: first, the physical state is marked, then the physical state is combined with the calibration price to establish a price calibration formula for the physical state, then all physical objects of the same type are integrated and analyzed, the simulated variables of the price calibration formula are calculated, and then the simulated variables are added to the price calibration formula to obtain a calibration model based on the physical state.

[0030] In step six above, the physical information in the calibration record table is substituted into the physical calibration model according to the label, the model calibration result is calculated, and the model calibration result is recorded in the calibration record table.

[0031] In step seven above, the weight of the model calibration is calculated based on the size of the integrated data, and the weights are recorded in the calibration record table in sequence.

[0032] In step eight above, the model calibration results, the weight of the model calibration, and the prediction results are combined according to the label to calculate the assets of each independent label entity, and the assets of each independent label entity are recorded in the calibration record table.

[0033] In step nine above, all assets with labels in the calibration record table are superimposed and calculated, and the result of the superposition calculation is recorded in the calibration record table, thus completing the calibration process for all physical assets.

[0034] Based on the above, the advantages of this invention are as follows: When using this invention, by systematically labeling physical objects and recording the analysis results in the corresponding labeled entities, it is convenient to review and process the calibration process later, thereby improving the convenience of calibration management. By dividing the market scope based on the location of the physical objects, the influence of the region on assets is superimposed on the physical object calibration process, improving the practicality of the calibration method. By establishing a calibration model based on existing physical object calibration results, and then calculating the weight of the model calibration according to the size of the integrated data, the model calibration results are combined with the estimated price to calibrate the physical assets according to the weight, thereby improving the accuracy of asset calibration.

[0035] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the invention can be implemented in other specific forms without departing from its spirit or essential characteristics. Therefore, the embodiments should be considered in all respects as exemplary and non-limiting, and the scope of the invention is defined by the appended claims rather than the foregoing description. Thus, all variations falling within the meaning and scope of equivalents of the claims are intended to be included within the present invention. No reference numerals in the claims should be construed as limiting the scope of the claims.

Claims

1. A method of real asset calibration, comprising the steps of: The application is characterized in that: In the step one, first, all the real assets to be valued are sequentially labeled, then an ordered valuation record table is established according to the labels, and then the types of the real assets are sequentially divided according to the labels, and the division results are recorded in the valuation record table; In the step two, the states of the real assets are sequentially determined according to the labels, and then the determination results of the real assets are recorded in the valuation record table; In the step three, the region where the real asset is located is recorded, then the market data in the corresponding region is retrieved, then the corresponding data is sequentially searched from the market data according to the label, then the data is screened, and the screened data is recorded in the valuation record table; In the step four, the screened data in the valuation record table is combined with the determination results of the real assets to estimate the value of the real asset, and the estimation results are recorded in the valuation record table; In the step five, the existing real asset valuation results are entered into the model, then the corresponding real asset type and state are retrieved, and then the real asset valuation model is established; In the step six, the real asset information in the valuation record table is sequentially substituted into the real asset valuation model according to the label, the model valuation result is calculated, and the model valuation result is recorded in the valuation record table; In the step seven, the weight of the model valuation is calculated according to the size of the integrated data, and the weight is sequentially recorded in the valuation record table; In the step eight, the model valuation result, the weight of the model valuation, and the estimation result are combined according to the label to calculate the asset of each independent label entity, and the asset of each independent label entity is recorded in the valuation record table; In the step nine, the assets of all labels in the valuation record table are superimposed and calculated, and the result of the superimposed calculation is recorded in the valuation record table, which completes the valuation process of all real assets.

2. The method of physical asset calibration of claim 1, wherein: In the step one, the division rule of the real asset type is that first, the purpose of the real asset is determined, then whether the real asset can be put into production is determined according to the purpose, and then the real asset that can be put into production is determined as a capacity type real asset, and the real asset that cannot be put into production is determined as a non-capacity type real asset.

3. The method of claim 1, wherein: In the step two, the determination rule of the capacity type real asset is that first, the output product of the real asset is recorded, then the output rate of the real asset is calculated, then the total value of the output of the real asset in unit time is calculated combined with the output rate, then the output loss rate of the real asset is calculated, and then the current damage rate of the real asset is determined.

4. The method of claim 1, wherein: In the step two, the determination rule of the non-capacity type real asset is that first, the material of the real asset is determined, then the size of the real asset is measured, and then the breakage rate of the real asset is detected.

5. The method of claim 1, wherein: In the step three, the rule of screening the data is that first, the data is marked in the coordinate system, then the linear equation corresponding to the whole data chain is calculated combined with all the data, then the correlation value of each data point and the linear equation is calculated, and finally the data with a correlation value less than the minimum correlation coefficient is deleted.

6. The method of physical asset calibration of claim 1, wherein: In the fourth step, the rule for estimating the energy-producing physical object is as follows: first, the damage rate of the physical object is combined with the output loss rate of the physical object to calculate the damage amount of the physical object in unit time, then the total output value of the physical object in unit time is combined with the screening data to calculate the profit value of the physical object in unit time, and then the physical object is estimated in combination with the damage amount of the physical object in unit time, the profit value of the physical object in unit time and the screening data.

7. The method of physical asset calibration of claim 1, wherein: In the fourth step, the rule for estimating the non-energy-producing physical object is as follows: first, the pricing calculation is combined with the material and size of the physical object, and then the pricing calculation result is combined with the crushing rate of the physical object to estimate the physical object.

8. The method of physical asset calibration of claim 1, wherein: In the fifth step, the rule for establishing the physical object calibration model is as follows: first, the physical object state is marked, then the physical object state is combined with the calibration price to establish a price calibration formula about the physical object state, then all physical objects of the same type are integrated and analyzed to calculate the simulation variable of the price calibration formula, and then the simulation variable is added to the price calibration formula to obtain a calibration model based on the physical object state.

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