CN114611930A - Intelligent fixed asset management method and system based on cloud platform - Google Patents
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Abstract
The invention discloses a fixed asset intelligent management method and system based on a cloud platform. The existing fixed asset management method and system cannot adopt a differentiated and dynamic depreciation strategy according to the actual use condition of the fixed asset, cannot provide reasonable suggestions for asset processing decisions of users, increases the workload of managers, and has lower refinement and intelligence levels of fixed asset management. The cloud platform management system calculates the residual value of the fixed asset in a targeted depreciation mode according to fixed asset use data and maintenance data which are periodically sent by a fixed asset data tag, compares the calculated residual value with a predicted net residual value and a second-hand market price, and automatically sends a reasonable fixed asset processing suggestion to a manager according to a comparison result, so that the fine management and intelligent management level of the fixed asset is improved.
Description
Technical Field
The invention relates to the field of intelligent asset management, in particular to a fixed asset intelligent management method and system based on a cloud platform.
Background
With the development of electronic information technology and network technology, the management of fixed assets also enters the stage of electronization and networking management, the management of the fixed assets scattered everywhere is realized, and the management efficiency is greatly improved. However, the existing fixed asset management method and system have the problems that the fixed asset depreciation management mode is single and the management system lacks a decision-making function, cannot adopt a differentiated and dynamic depreciation strategy according to the property and the actual use condition of the fixed asset, and cannot provide reasonable suggestions for asset processing decisions of users. The workload of management personnel is increased due to the problems, and the refinement and intelligentization level of fixed asset management is low.
Disclosure of Invention
The application aims to provide a cloud platform-based intelligent fixed asset management method and system to overcome the defects that the existing fixed asset management method and system cannot adopt a differentiated and dynamic depreciation strategy according to the property and the actual use condition of fixed assets, cannot provide reasonable suggestions for asset processing decisions of users and the like, so that the workload of managers is reduced, and the fine and intelligent management level of the fixed assets is improved.
In order to achieve the purpose, the technical scheme of the application is as follows:
the invention provides a cloud platform-based intelligent fixed asset management method, which comprises the following steps:
the fixed asset data tag receives fixed asset configuration data input by a user side, monitors and collects fixed asset use data and stores the fixed asset data;
the cloud platform information acquisition unit periodically receives the fixed asset data sent by the fixed asset data label;
a first judgment unit of the cloud platform detects whether the fixed asset data has a first data value;
if the first data value does not exist, a second judgment unit of the cloud platform detects whether a second data value in the fixed asset data is not smaller than a first threshold value or not;
if the second data value of the fixed asset is smaller than the first threshold value, the cloud platform computing unit starts a first computing module to compute the residual value of the depreciated fixed asset; if the second data value of the fixed asset is not smaller than the first threshold value, the computing unit starts a second computing module to compute the residual value of the fixed asset after depreciation;
if the first data value exists, a third judgment unit of the cloud platform detects whether a second data value in the fixed asset data is not smaller than a first threshold value;
if the second data value of the fixed asset is smaller than the first threshold value, the cloud platform computing unit starts a third computing module to compute the residual value of the depreciated fixed asset; if the second data value of the fixed asset is not smaller than the first threshold value, the computing unit starts a fourth computing module to compute the residual value of the fixed asset after depreciation;
a fourth judgment unit of the cloud platform detects whether the residual value of the depreciated fixed asset is greater than a preset second threshold value;
if the residual value after the fixed asset is depreciated is larger than a second threshold value, the cloud platform decision unit sends a first fixed asset processing decision prompt to the user side;
if the residual value of the depreciated fixed asset is not greater than the second threshold value, a fifth judgment unit of the cloud platform detects whether the residual value of the depreciated fixed asset is greater than a preset third threshold value;
if the residual value after the fixed asset is depreciated is greater than a third threshold value, the cloud platform decision unit sends a second fixed asset processing decision prompt to the user side; and if the residual value after the fixed asset is depreciated is not greater than a third threshold value, the decision unit sends a third fixed asset processing decision prompt to the user side.
Further, the fixed asset data tag includes information such as purchase time, price, use duration, and maintenance record of the fixed asset, and the information is input at the user side.
Further, the first data value is maintenance record data, the second data value is daily average usage duration data, the first threshold value is 12 hours/day, the second threshold value is a predicted net residual value of the fixed asset, the third threshold value is a second-hand market value of the fixed asset, the first processing decision prompt of the fixed asset is 'continued to use', the second processing decision prompt of the fixed asset is 'sell', and the third processing decision prompt of the fixed asset is 'scrap'.
Further, the first calculating module depreciation calculating formula is as follows: the annual depreciation amount is (original fixed asset value-estimated net residual value)/estimated service life of the fixed asset;
the depreciation calculation formula of the second calculation module is as follows: a year depreciation amount (fixed asset original value-expected net residual value)/(fixed asset expected age-1);
the third calculation module depreciation calculation formula is as follows: a year depreciation amount ═ (fixed asset original value-expected net residual value)/(fixed asset expected age-X);
the depreciation calculation formula of the fourth calculation module is as follows: the annual depreciation amount is (fixed asset origin-expected net residual)/(fixed asset expected age-Y).
Further, the residual value of the fixed asset is equal to the difference value between the original value of the fixed asset and the accumulated depreciation amount of the fixed asset; the accumulated depreciation amount of the fixed assets is the sum of depreciation amounts of the fixed assets in each year of the used years.
Further, the value of X, Y is determined according to the fixed asset equipment use condition and maintenance condition.
The invention also provides a fixed asset intelligent management system based on the cloud platform, which comprises the following steps:
the fixed asset data tag is used for receiving fixed asset configuration data input by a user side, monitoring and acquiring fixed asset use data and storing the fixed asset data;
the cloud platform information acquisition unit is used for periodically receiving the fixed asset data sent by the fixed asset data tags;
the cloud platform first judgment unit is used for detecting whether the fixed asset data has a first data value;
the cloud platform second judging unit is used for detecting whether a second data value in the fixed asset data is not smaller than a first threshold value or not when the first data value does not exist;
the cloud platform computing unit is used for computing the residual value of the depreciated fixed assets; if the second data value of the fixed asset is smaller than the first threshold value, the computing unit starts a first computing module to compute the residual value of the fixed asset after depreciation; if the second data value of the fixed asset is not smaller than the first threshold value, the computing unit starts a second computing module to compute the residual value of the fixed asset after depreciation;
the cloud platform third judging unit is used for detecting whether a second data value in the fixed asset data is not less than a first threshold value or not when the first data value exists;
if the second data value of the fixed asset is smaller than the first threshold value, the computing unit starts a third computing module to compute the residual value of the fixed asset after depreciation; if the second data value of the fixed asset is not smaller than the first threshold value, the computing unit starts a fourth computing module to compute the residual value of the fixed asset after depreciation;
the cloud platform fourth judging unit is used for detecting whether the residual value of the depreciated fixed asset is greater than a preset second threshold value;
the cloud platform decision unit is used for sending a fixed asset processing decision prompt to the user side; if the residual value after the fixed asset is depreciated is greater than the second threshold value, the decision unit sends a first fixed asset processing decision prompt to the user side;
the cloud platform fifth judging unit is used for detecting whether the residual value after the fixed asset is depreciated is greater than a preset third threshold value or not when the residual value after the fixed asset is depreciated is not greater than the second threshold value;
if the residual value after the fixed asset is depreciated is greater than a third threshold value, the decision unit sends a second fixed asset processing decision prompt to the user side; and if the residual value after the fixed asset is depreciated is not greater than a third threshold value, the decision unit sends a third fixed asset processing decision prompt to the user side.
According to the fixed asset intelligent management method and system based on the cloud platform, the cloud platform management system selects a targeted depreciation mode to calculate the residual value of depreciated fixed assets according to fixed asset use data and maintenance data which are periodically sent by a fixed asset data tag, compares the calculated residual value with the predicted net residual value and the second-hand market price, and automatically sends reasonable fixed asset processing suggestions to a manager according to the comparison result, so that the fixed asset fine management and intelligent management level is improved, and the manager can more efficiently and accurately manage fixed asset equipment which is scattered in various regions and is in different use conditions.
The technical scheme is applied to the management of computer equipment, and the depreciation and processing strategies of the computers can be comprehensively determined according to the actual use intensity and the maintenance condition of each computer. For example, for a computer which has short daily use time and no maintenance condition, because the computer is reliable in operation, the technical scheme can depreciate according to the preset service life and provide an asset processing strategy for normal use for a user; for the computer with higher use strength and over-maintenance condition, due to the reduction of the operation reliability and longer use time, the probability of important computer data loss and interruption of user work caused by unexpected faults is greatly increased. Through the refined and intelligent management, the scheme can ensure the data safety and the working continuity of the user to the maximum extent, and reduce the major loss caused by improper management of computer equipment.
Drawings
Fig. 1 is a flow chart of a fixed asset intelligent management method based on a cloud platform.
Fig. 2 is a flowchart of a cloud platform-based intelligent management method for fixed assets, taking computer device management as an example.
Detailed Description
The invention is further described below with reference to the figures and examples.
Example 1
In this embodiment, as shown in fig. 1, there is provided a cloud platform-based fixed asset intelligent management method, including:
step S1, the cloud platform information acquisition unit periodically receives the fixed asset data sent by the fixed asset data label; the first judgment unit of the cloud platform detects whether the fixed asset data has a first data value. For example: the fixed asset data may comprise time of purchase, price of purchase, storage location, average daily usage, maintenance records, expected age, expected net residual value, second-hand market value, etc. the first data value may be a maintenance record, such as maintenance times.
Step S2, if the first data value does not exist, the second determining unit of the cloud platform detects whether a second data value in the fixed asset data is not less than a first threshold value; if the second data value is smaller than the first threshold value, the cloud platform computing unit starts a first computing module to compute the residual value of the depreciated fixed asset; if the second data value is not smaller than the first threshold value, the calculation unit starts a second calculation module to calculate the residual value of the fixed asset after depreciation. For example, the second data value may be the average daily usage and the first threshold may be 12 hours/day.
Step S3, if the first data value exists, the third determining unit of the cloud platform detects whether the second data value in the fixed asset data is not less than the first threshold; if the second data value is smaller than the first threshold value, the calculating unit starts a third calculating module to calculate the residual value of the depreciated fixed asset; if the second data value is not smaller than the first threshold value, the calculation unit starts a fourth calculation module to calculate the residual value of the fixed asset after depreciation.
Step S4, the cloud platform fourth determining unit detects whether the residual value of the fixed asset after depreciation calculated by the calculating module is greater than a preset second threshold. For example, the second threshold may be a preset fixed asset projected net residual value.
Step S5, if the residual value after the fixed asset is depreciated is larger than a second threshold value, the cloud platform decision unit sends a first fixed asset processing decision prompt to the user terminal; and if the residual value of the depreciated fixed asset is not greater than the second threshold, a fifth judgment unit of the cloud platform detects whether the residual value of the depreciated fixed asset is greater than a preset third threshold. For example, the first processing decision prompt may be "continue use" and the third threshold may be a preset fixed asset second-hand market value.
Step S6, if the residual value after the fixed asset is depreciated is greater than a third threshold value, the cloud platform decision unit sends a second fixed asset processing decision prompt to the user side; and if the residual value after the fixed asset is depreciated is not greater than a third threshold value, the decision unit sends a third fixed asset processing decision prompt to the user side. For example, the second processing decision prompt may be "sell" and the third processing decision prompt may be "retire".
The starting conditions of the first computing module are: the fixed assets are not damaged and maintained, and the daily average use time is less than a first threshold value.
The starting conditions of the second computing module are: the fixed assets are not damaged and maintained, and the daily average use time is not less than a first threshold value.
The starting conditions of the third calculation module are: the fixed assets are damaged and maintained, and the daily average service life is less than a first threshold value.
The starting conditions of the fourth calculation module are: the fixed assets are damaged and maintained, and the daily average service life is not less than a first threshold value.
Example 2
As shown in fig. 2, taking a computer as an example, the information input by the user to the fixed asset data tag through the user side includes a brand, a model, a price, a main hardware configuration (such as a CPU, a hard disk, a memory, and a display card), a predicted service life, a second-hand market value, maintenance times, and the like, and the fixed asset data tag receives and stores the information input by the user side; the data tag is connected with a computer, a current detection device is arranged in the data tag, the power utilization duration and the power utilization intensity of the computer can be monitored in real time, and the data tag is recorded and stored.
The cloud platform information acquisition unit receives the computer state information that data label sent at every end of the depreciation period, and the depreciation period can be set to a month, a quarter, a half year or a year in the system, and the depreciation period is set to a year in this embodiment, and sends information to the first judgment unit of cloud platform and detects, and the first data value in the state information is "maintenance frequency", and first judgment unit detects whether "maintenance frequency" has data: if no data exists or the filled numerical value is 'none' (filling 'none' is regarded as no data), entering a second judgment unit to detect the average daily use time; if the data exist, the third judgment unit is started to detect the daily average use duration.
The cloud platform second judging unit is used for judging whether the daily average use duration of the computer is not less than 12 hours: if the average daily use time is less than 12 hours, the cloud platform computing unit starts the first computing module to perform depreciation computing on the computer, namely, for the computer which is not maintained and has the average daily use time less than 12 hours, normal depreciation processing can be performed according to a formula: calculating the annual depreciation amount, and subtracting the accumulated depreciation amount of the used age of the fixed asset from the original value of the fixed asset to obtain the residual value of the fixed asset; if the average daily use time is not less than 12 hours, the computing unit starts the second computing module to perform depreciation computation on the computer, namely for the computer which is not repaired but has a longer average daily use time (for example, the average daily use time is more than 12 hours), the depreciation speed is higher than that of a commonly used computer (for example, the average daily use time is less than 12 hours) due to higher consumption of computer hardware, so according to the formula: and (4) calculating the annual depreciation amount, namely (original value of the fixed asset-predicted net residual value)/(predicted service life of the fixed asset-1), and subtracting the accumulated depreciation amount of the used period of the fixed asset from the original value of the fixed asset to obtain the residual value of the fixed asset.
The third judgment unit of the cloud platform is used for judging whether the average daily use duration of the computer is not less than 12 hours: if the daily average use time is less than 12 hours, the computing unit starts the third computing module to perform depreciation computation on the computer, that is, for the computer which is maintained but has the daily average use time less than 12 hours, because the increase of the maintenance frequency (i.e., the increase of the frequency of the failure or accidental damage of the computer) can weaken the performance and the running stability of the computer, the corresponding depreciation speed is also accelerated, so according to the formula: calculating the annual depreciation amount (original value of the fixed asset-predicted net residual value)/(predicted service life of the fixed asset-X), and subtracting the accumulated depreciation amount of the used life of the fixed asset from the original value of the fixed asset to obtain the residual value of the fixed asset, wherein the value of X is determined according to the maintenance frequency of a computer and is shown in Table 1; if the daily average service life is not less than 12 hours, the computing unit starts the fourth computing module to perform depreciation computing on the computer, namely, for the computer which is maintained and has long daily average service life, the depreciation of the computer is faster under the comprehensive action of the service life and the fault maintenance, so according to the formula: and (4) calculating the annual depreciation amount (original fixed asset value-estimated net residual value)/(estimated fixed asset service life-Y), and subtracting the accumulated depreciation amount of the used fixed asset from the original fixed asset value to obtain the residual fixed asset value, wherein the value of Y is determined according to the maintenance times of the computer, and is shown in table 2.
The cloud platform fourth judging unit is used for detecting whether the residual value of the computer after depreciation calculated by the calculating module is larger than a preset computer predicted net residual value or not, and the computer predicted net residual value is calculated according to 5% of the original value. And if the depreciated residual value is greater than the expected net residual value, the cloud platform decision unit sends a prompt that the computer can be continuously and normally used to the user side. And if the depreciated residual value is not greater than the expected net residual value, a fifth judgment unit of the cloud platform detects whether the depreciated residual value is greater than the market second-hand value of the computer. If the depreciated residual value is greater than the preset market second-hand value of the computer, the decision unit sends a prompt for proposing the computer to sell to the user side; and if the depreciated residual value is not greater than the preset market second-hand value of the computer, the decision unit sends a prompt for suggesting that the computer is scrapped to the user side.
In this embodiment, the cloud platform-based fixed asset intelligent management system comprehensively determines the depreciation and processing strategies of the computers according to the actual use intensity and the maintenance condition of each computer. For example, for a computer which has short daily use time and no maintenance condition, the management system can depreciate according to the preset service life and provide an asset processing strategy for normal use for a user due to reliable operation; for the computer with higher use strength and over-maintenance condition, due to the reduction of the operation reliability and longer use time, the probability of important computer data loss and interruption of user work caused by unexpected faults is greatly increased, and for the condition, the management system can automatically adopt an accelerated depreciation method to depreciate and timely propose an asset processing strategy for eliminating the computer (sold or scrapped) for the user. Through the refined and intelligent management, the management system can ensure the data safety and the working continuity of the user to the maximum extent, and reduce the major loss caused by improper management of computer equipment.
Table 1X value table
| Number of times of maintenance | Value of X |
| 1 time of | 1 |
| 2-5 times (including 5 times) | 2 |
| More than 5 times | 4 |
Table 2 value table of Y
| Number of times of maintenance | Value of Y |
| 1 time of | 2 |
| 2-5 times (including 5 times) | 3 |
| More than 5 times | 5 |
The above examples are merely representative of preferred embodiments of the present invention, and the description thereof is more specific and detailed, but not to be construed as limiting the scope of the present invention. It should be noted that, for those skilled in the art, various changes, modifications and substitutions can be made without departing from the spirit of the present invention, and these are all within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (9)
1. A fixed asset intelligent management method and a system based on a cloud platform are characterized in that the fixed asset intelligent management method based on the cloud platform comprises the following steps:
the fixed asset data tag receives fixed asset configuration data input by a user side, monitors and collects fixed asset use data and stores the fixed asset data;
the cloud platform information acquisition unit periodically receives the fixed asset data sent by the fixed asset data label;
a first judgment unit of the cloud platform detects whether the fixed asset data has a first data value;
if the first data value does not exist, a second judgment unit of the cloud platform detects whether a second data value in the fixed asset data is not smaller than a first threshold value or not;
if the second data value of the fixed asset is smaller than the first threshold value, the cloud platform computing unit starts a first computing module to compute the residual value of the depreciated fixed asset; if the second data value of the fixed asset is not smaller than the first threshold value, the computing unit starts a second computing module to compute the residual value of the fixed asset after depreciation;
if the first data value exists, a third judgment unit of the cloud platform detects whether a second data value in the fixed asset data is not smaller than a first threshold value;
if the second data value of the fixed asset is smaller than the first threshold value, the cloud platform computing unit starts a third computing module to compute the residual value of the depreciated fixed asset; if the second data value of the fixed asset is not smaller than the first threshold value, the computing unit starts a fourth computing module to compute the residual value of the fixed asset after depreciation;
a fourth judgment unit of the cloud platform detects whether the residual value of the depreciated fixed asset is greater than a preset second threshold value;
if the residual value after the fixed asset is depreciated is larger than a second threshold value, the cloud platform decision unit sends a first fixed asset processing decision prompt to the user side;
if the residual value of the depreciated fixed asset is not greater than the second threshold value, a fifth judgment unit of the cloud platform detects whether the residual value of the depreciated fixed asset is greater than a preset third threshold value;
if the residual value after the fixed asset is depreciated is greater than a third threshold value, the cloud platform decision unit sends a second fixed asset processing decision prompt to the user side; and if the residual value after the fixed asset is depreciated is not greater than a third threshold value, the decision unit sends a third fixed asset processing decision prompt to the user side.
2. The method of claim 1, wherein: the fixed asset data tag comprises information such as fixed asset purchase time, price, service life, maintenance records and the like, and the information is input at a user side.
3. The method of claim 1, wherein: the first data value is maintenance record data, the second data value is daily average use duration data, the first threshold value is 12 hours/day, the second threshold value is a predicted net residual value of the fixed asset, the third threshold value is a second-hand market value of the fixed asset, the first fixed asset processing decision prompt is 'continue use', the second fixed asset processing decision prompt is 'sell', and the third fixed asset processing decision prompt is 'scrap'.
4. The method of claim 1, wherein: the depreciation calculation formula of the first calculation module is as follows: the annual depreciation amount is (original fixed asset value-estimated net residual value)/estimated service life of the fixed asset;
the depreciation calculation formula of the second calculation module is as follows: a year depreciation amount (fixed asset original value-expected net residual value)/(fixed asset expected age-1);
the third calculation module depreciation calculation formula is as follows: a year depreciation amount ═ (fixed asset original value-expected net residual value)/(fixed asset expected age-X);
the depreciation calculation formula of the fourth calculation module is as follows: the annual depreciation amount is (fixed asset origin-expected net residual)/(fixed asset expected age-Y).
5. The method of claim 1, wherein: the fixed asset residual value is equal to the difference between the original fixed asset value and the accumulated depreciation amount of the fixed asset; the accumulated depreciation amount of the fixed assets is the sum of depreciation amounts of the fixed assets in each year of the used years.
6. The method of claim 4, wherein: x, Y is determined according to the use and maintenance of fixed asset equipment.
7. A cloud platform-based intelligent fixed asset management system is characterized by comprising:
the fixed asset data tag is used for receiving fixed asset configuration data input by a user side, monitoring and acquiring fixed asset use data and storing the fixed asset data;
the cloud platform information acquisition unit is used for periodically receiving the fixed asset data sent by the fixed asset data tags;
the cloud platform first judgment unit is used for detecting whether the fixed asset data has a first data value;
the cloud platform second judging unit is used for detecting whether a second data value in the fixed asset data is not smaller than a first threshold value or not when the first data value does not exist;
the cloud platform computing unit is used for computing the residual value of the depreciated fixed assets; if the second data value of the fixed asset is smaller than the first threshold value, the computing unit starts a first computing module to compute the residual value of the fixed asset after depreciation; if the second data value of the fixed asset is not smaller than the first threshold value, the computing unit starts a second computing module to compute the residual value of the fixed asset after depreciation;
the cloud platform third judging unit is used for detecting whether a second data value in the fixed asset data is not less than a first threshold value or not when the first data value exists;
if the second data value of the fixed asset is smaller than the first threshold value, the computing unit starts a third computing module to compute the residual value of the fixed asset after depreciation; if the second data value of the fixed asset is not smaller than the first threshold value, the computing unit starts a fourth computing module to compute the residual value of the fixed asset after depreciation;
the cloud platform fourth judging unit is used for detecting whether the residual value of the depreciated fixed asset is greater than a preset second threshold value;
the cloud platform decision unit is used for sending a fixed asset processing decision prompt to the user side; if the residual value after the fixed asset is depreciated is greater than the second threshold value, the decision unit sends a first fixed asset processing decision prompt to the user side;
the cloud platform fifth judging unit is used for detecting whether the residual value after the fixed asset is depreciated is greater than a preset third threshold value or not when the residual value after the fixed asset is depreciated is not greater than the second threshold value;
if the residual value after the fixed asset is depreciated is greater than a third threshold value, the decision unit sends a second fixed asset processing decision prompt to the user side; and if the residual value after the fixed asset is depreciated is not greater than the third threshold value, the decision unit sends a fixed asset third processing decision prompt to the user side.
8. A storage medium, characterized by: the storage medium stores a program that executes the detection method according to any one of claims 1 to 6.
9. A processor, characterized in that: the processor is configured to execute a program, wherein the program executes the detection method according to any one of claims 1 to 6.
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