CN115293498A - Data collection system for enterprise asset arrangement based on block chain - Google Patents
Data collection system for enterprise asset arrangement based on block chain Download PDFInfo
- Publication number
- CN115293498A CN115293498A CN202210754393.XA CN202210754393A CN115293498A CN 115293498 A CN115293498 A CN 115293498A CN 202210754393 A CN202210754393 A CN 202210754393A CN 115293498 A CN115293498 A CN 115293498A
- Authority
- CN
- China
- Prior art keywords
- module
- asset
- value
- fixed
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000013480 data collection Methods 0.000 title claims abstract description 24
- 238000011156 evaluation Methods 0.000 claims abstract description 32
- 230000032683 aging Effects 0.000 claims abstract description 30
- 238000012795 verification Methods 0.000 claims abstract description 17
- 238000012423 maintenance Methods 0.000 claims description 26
- 238000004364 calculation method Methods 0.000 claims description 24
- 238000000034 method Methods 0.000 claims description 14
- 238000013500 data storage Methods 0.000 claims description 12
- 238000009825 accumulation Methods 0.000 claims description 11
- 238000012217 deletion Methods 0.000 claims description 10
- 230000037430 deletion Effects 0.000 claims description 10
- 230000008569 process Effects 0.000 claims description 6
- 230000008676 import Effects 0.000 claims description 5
- 238000003825 pressing Methods 0.000 claims description 3
- 238000003860 storage Methods 0.000 claims description 3
- 238000007726 management method Methods 0.000 description 4
- 230000009471 action Effects 0.000 description 3
- 238000004519 manufacturing process Methods 0.000 description 3
- 230000000694 effects Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007596 consolidation process Methods 0.000 description 1
- 230000003111 delayed effect Effects 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000001360 synchronised effect Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/20—Administration of product repair or maintenance
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Strategic Management (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Physics & Mathematics (AREA)
- Quality & Reliability (AREA)
- Operations Research (AREA)
- Tourism & Hospitality (AREA)
- Marketing (AREA)
- General Business, Economics & Management (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Game Theory and Decision Science (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a data collection system for enterprise asset arrangement based on a block chain, which comprises a system login module, a fixed asset collection module, an actual asset evaluation module and a block chain network module, and is characterized in that: the system login module is used for identifying, verifying and logging in a data collection system, the fixed asset collection module is used for logging in fixed assets of a coordinated enterprise, the actual asset evaluation module is used for calculating and evaluating the actual asset value according to the aging loss of the fixed assets, the block chain network module is respectively in network connection with the system login module, the fixed asset collection module and the actual asset evaluation module, the block chain network module is used for being connected with a network cloud and storing a shared real-time information database, and the system login module comprises a face verification module, a fingerprint identification module and a secondary password verification module.
Description
Technical Field
The invention relates to the technical field of information management, in particular to a data collection system for enterprise asset arrangement based on a block chain.
Background
The management of the fixed assets of an enterprise is closely related to purchasing, maintaining and scrapping equipment of the enterprise, and the fixed assets generally comprise: long economic life and high unit value of electronic equipment, transportation vehicles, building buildings and other tools related to enterprise production and management are important characteristics for distinguishing fixed assets from other assets. The fixed assets are essential production elements in normal operation management of production type enterprises, and are one of important sources for creating economic benefits for the enterprises.
The fixed assets have aging phenomena in the actual use process, and the value damaged due to aging is difficult to evaluate when the fixed assets are usually calculated, so that the value of the recorded fixed assets is often larger than the value of the actual fixed assets, and the existing value difference can further cause errors in the fixed asset judgment of an enterprise, thereby influencing the development of the enterprise. According to research, the aging phenomenon is closely related to the category of the fixed assets, the use time and the ambient temperature. Therefore, it is necessary to design a data collection system for block chain-based enterprise asset consolidation, which is highly practical and data accurate.
Disclosure of Invention
The invention aims to provide a data collection system for enterprise asset arrangement based on a block chain, which solves the problems in the background technology.
In order to solve the technical problems, the invention provides the following technical scheme: the utility model provides a data collection system for enterprise asset arrangement based on block chain, includes system login module, fixed asset collection module, actual asset evaluation module and block chain network module which characterized in that: the system login module is used for identifying and verifying a login data collection system, the fixed asset collection module is used for entering fixed assets of an overall enterprise, the actual asset evaluation module is used for calculating and evaluating actual asset value according to aging loss of the fixed assets, the block chain network module is in network connection with the system login module, the fixed asset collection module and the actual asset evaluation module respectively, and the block chain network module is used for connecting a network cloud and storing a shared real-time information database.
According to the technical scheme, the system login module comprises a face verification module, a fingerprint identification module and a secondary password verification module, wherein the face verification module is used for recognizing and verifying face information, the fingerprint identification module is used for recognizing and verifying fingerprint information, and the secondary password verification module is used for performing secondary password security verification when important steps are operated after the data collection system is logged in.
According to the technical scheme, the fixed asset collecting module comprises an information input module, a quick scanning data input unit, a data batch input module, a data storage module and a multi-platform data synchronization module, the information input module is used for inputting value, appearance, category and date information of fixed assets into a data collecting system, the information input module comprises an image input submodule and a category input submodule, the image input submodule is electrically connected with the category input submodule and is used for scanning and inputting the appearance of the fixed assets, the category input submodule is used for automatically identifying the category of the current fixed assets after the image information is input and inputting the category information of the current fixed assets at the same time, the quick scanning data input unit is electrically connected with the information input module, the quick scanning data input unit is used for comparing the input image of other fixed assets with the image input submodule when scanning other fixed assets, the fixed assets under the same appearance are directly called with the value and the category information of the same appearance, the time information of the fixed assets is input by using the current scanning time, the data batch input module is electrically connected with the data storage module and the data batch input module, the data batch input module is used for sorting a list of fixed assets, and a cloud data storage module and a multi-side data synchronization module which is used for connecting a cloud data storage module and a multi-side data synchronization module.
According to the technical scheme, the working method of the system login module and the fixed asset collection module comprises the following steps:
A. opening a data collection system and entering a system login page;
B. pressing the input finger fingerprint information and scanning the face information to log in a data collection system;
C. inputting a secondary password verification request again before the operation of inputting the fixed asset information;
D. scanning the first fixed asset in the same batch, inputting image information into a data collecting system, automatically or manually changing the classification of the first fixed asset, filling value information, and recording the input time;
E. scanning subsequent fixed assets in the same batch, and automatically inputting data according to the first fixed asset to a data input collection system;
F. the data batch import module is used for organizing the input data and then importing the input data into the storage module in batches;
G. and uploading the imported data to the cloud end of the block chain, and synchronously updating the multi-platform data into the latest enterprise fixed asset data.
According to the technical scheme, the actual asset evaluation module is electrically connected with the fixed asset collection module, the actual asset evaluation module comprises a breakage rate calculation module, an asset deletion module and a maintenance overall planning module, the breakage rate calculation module is used for calculating the value of different types of fixed assets after natural aging, the asset deletion module is used for recording the damaged equipment value in the fixed assets and deleting the equipment value from the data storage module, and the maintenance overall planning module is used for counting the cost of maintenance consumption of the fixed assets in the using process.
According to the technical scheme, the working method of the actual asset evaluation module comprises the following steps:
s1, importing the total fixed asset value M collected by the fixed asset collection modules in the same batch General assembly ;
S2, deducting deleted value M recorded by asset deletion modules in the same batch Deleting door ;
S3, multiplying the same batch of the loss rate calculation module to calculate the value loss rate M after natural aging Folding device ;
S4, adding the value M additionally obtained by maintenance in the same batch Health-care product ;
S5, calculating the actual asset values of all batches, summing the actual asset values, and deriving the value M after the actual asset evaluation Now that 。
According to the technical scheme, the breakage rate calculation module comprises a time accumulation unit, a temperature average unit and a category calling sub-module, the time accumulation unit is used for accumulating the time recorded in each batch, the temperature tie unit is used for accumulating the average air temperature of each day after each batch is recorded and then dividing the accumulated average air temperature by the number of days of time accumulation to obtain the total recorded average air temperature, the category calling sub-module is electrically connected with the category recording sub-module, and the category calling sub-module is used for calling the category classified in each batch when the category is recorded.
According to the above technical solution, the step S3 further includes:
s31, extracting fixed asset data recorded in the same batch;
s32, extracting the use accumulation time D unit of the same product in the same batch to be day;
s33, extracting the average temperature T unit of the same batch of the same product during the use period to be Fahrenheit degree;
s34, dividing the aging depreciation coefficient K into three level corresponding values K1, K2 and K3, and finding out the corresponding aging coefficient K by the category calling submodule according to the category of the measured fixed asset;
s35, accurately calculating the corresponding value breakage rate M after the aging breakage corresponding to each product Folding device 。
According to the technical scheme, the corresponding value breakage rate M after aging breakage Folding device The calculation formula of (c) is:
substituting K into corresponding aging grade constant values K1, K2 or K3 according to the fixed asset class, D being a recorded time value, and T being an average temperature value during use;
value M additionally obtained by maintenance Health-care product The calculation formula of (2) is as follows:
M health-care product =30%·H
Wherein H is the value spent in each batch of maintenance, 30% is a fixed proportional value of the promotion value obtained by corresponding the value spent after maintenance to the fixed asset value, M Health-care product The fixed asset value is increased after maintenance.
According to the above-mentioned techniqueScenario, value after evaluation of said actual asset M Now that The calculation formula of (c) is:
M now that =M Now 1 +M Now 2 +M Now 3 +…
Wherein M is Now 1 、M Now 2 、M Now 3 And the like are different types of actual fixed asset evaluation values of different batches, the calculation formulas are the same, only the K value needs to be switched according to the specified asset class, M Now that And finally obtaining the actual value of the total assets of the enterprise for the actual asset evaluation module.
Compared with the prior art, the invention has the following beneficial effects: according to the invention, the aged value of the actual enterprise fixed asset can be calculated according to the factors of the type, the service time and the environment temperature of the fixed asset through the system module, so that the effect of more accurately evaluating and collecting the enterprise fixed asset is achieved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a schematic diagram of the system module composition of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a technical solution: data collection system for enterprise asset arrangement based on block chain, including system login module, fixed asset collection module, actual asset evaluation module and block chain network module, its characterized in that: the system login module is used for identifying and verifying a login data collection system, the fixed asset collection module is used for inputting fixed assets of an overall enterprise, the actual asset evaluation module is used for calculating and evaluating the actual asset value according to the aging loss of the fixed assets, the block chain network module is respectively in network connection with the system login module, the fixed asset collection module and the actual asset evaluation module, and the block chain network module is used for connecting a network cloud and storing a shared real-time information database; through the system module, the value of the aged fixed assets of the actual enterprise can be calculated according to the factors of the type, the service time and the environment temperature of the fixed assets, so that the effect of more accurately evaluating and collecting the fixed assets of the enterprise is achieved.
The system login module comprises a face verification module, a fingerprint identification module and a secondary password verification module, wherein the face verification module is used for recognizing and verifying face information by a face, the fingerprint identification module is used for recognizing and verifying fingerprint information by a fingerprint, and the secondary password verification module is used for performing secondary password safety verification when important steps are operated after the data collection system is logged in; the double verification that the face and the fingerprint need to be entered when the system is logged in can enter the data collection system through the lower part, and the secondary verification password needs to be input again when the operation such as entering and deleting needs to be performed after the system is entered, so that the operation can be performed, the safety of the data collection system is greatly improved, and the problem that the fixed asset value of an enterprise is wrong due to misoperation after the operation is cracked by a non-worker is avoided.
The system comprises a fixed asset collecting module, a rapid scanning data importing unit, a data batch importing module, a data storage module and a multi-platform data synchronization module, wherein the information importing module is used for inputting value, appearance, category and date information of fixed assets into a data collecting system, the information importing module comprises an image entering submodule and a category entering submodule, the image entering submodule is electrically connected with the category entering submodule and is used for scanning and entering the appearance of the fixed assets, the category entering submodule is used for automatically identifying the category of the current fixed assets after image information is entered and simultaneously entering the category information of the current fixed assets, the rapid scanning data importing unit is electrically connected with the information entering module, the rapid scanning data importing unit is used for comparing the image entered by the image entering submodule when other fixed assets are scanned, the fixed assets under the same appearance directly call the value and the category information of the same appearance of the fixed assets, time information of the fixed assets is entered by the current scanning time, the data batch importing module is electrically connected with the data storage module and the rapid scanning data importing unit, the data batch importing module is used for storing data in a data storage module which arranges each fixed asset information column scanned and is arranged in a column, and is connected with a multi-platform synchronization module which is used for connecting with a mobile phone data synchronization module, and a multi-terminal data synchronization module, and a mobile phone synchronization module; when the same batch of fixed asset data is input, only the first input detailed information is needed, the input can be identified and input rapidly according to image scanning, the local data storage module can be stored in a batched arrangement mode, the cloud end is synchronized through the block chain network module, the data can be updated simultaneously through multiple platforms, and the input timeliness and the input accuracy are greatly improved.
The working method of the system login module and the fixed asset collection module comprises the following steps:
A. opening a data collection system and entering a system login page;
B. pressing the input finger fingerprint information and scanning the face information to log in a data collection system;
C. inputting a secondary password verification request again before the operation of inputting the fixed asset information;
D. scanning the first fixed asset in the same batch, inputting image information into a data collecting system, automatically or manually changing the classification of the first fixed asset, filling value information, and recording the input time;
E. scanning subsequent fixed assets in the same batch, and automatically inputting data according to the first fixed asset to a data acquisition system;
F. the data batch import module is used for organizing the input data and then importing the input data into the storage module in batches;
G. and uploading the imported data to the cloud end of the block chain, and synchronously updating the multi-platform data into the latest enterprise fixed asset data.
The system comprises an actual asset evaluation module, an asset deletion module and a maintenance scheduling module, wherein the actual asset evaluation module is electrically connected with a fixed asset collection module and comprises a breakage rate calculation module, an asset deletion module and a maintenance scheduling module, the breakage rate calculation module is used for calculating the broken values of different types of fixed assets after natural aging, the asset deletion module is used for recording the damaged equipment values in the fixed assets and deleting the damaged equipment values from a data storage module, and the maintenance scheduling module is used for counting the maintenance cost of the fixed assets in the using process; the value lost due to midway damage in the fixed assets and the value brought by delayed aging after maintenance are comprehensively considered, so that the accuracy of the actual asset value evaluation is further improved.
The working method of the actual asset evaluation module comprises the following steps:
s1, importing the total fixed asset value M collected by the fixed asset collecting modules in the same batch General assembly ;
S2, deducting deleted value M recorded by asset deletion modules in the same batch Deleting door ;
S3, multiplying the same batch of breakage rate calculation module to calculate the value breakage rate M after natural aging Folding device ;
S4, adding the value M additionally obtained by maintenance in the same batch Health-care product ;
S5, calculating the actual asset values of all batches, summing the actual asset values, and deriving the value M after the actual asset evaluation Now that 。
The breakage rate calculation module comprises a time accumulation unit, a temperature average unit and a category calling submodule, wherein the time accumulation unit is used for accumulating the recording time of each batch, the temperature tie unit is used for accumulating the average air temperature of each day after each batch is recorded and then dividing the accumulated time by the number of days to obtain the total recorded average air temperature, the category calling submodule is electrically connected with the category recording submodule, and the category calling submodule is used for calling the category classified in each batch when the batch is recorded; in the aspect of aging depreciation value, the final depreciation rate is calculated under the influence of different proportions of fixed asset types, time and temperature, so that the accuracy of evaluating the asset value is further improved, and the collected data is more accurate.
Step S3 further includes:
s31, extracting fixed asset data recorded in the same batch;
s32, extracting the use accumulation time D unit of the same product in the same batch to be day;
s33, extracting the average temperature T unit of the same batch of the same product during the use period to be Fahrenheit degree;
s34, dividing the aging depreciation coefficient K into three level corresponding values K1, K2 and K3, and finding out the corresponding aging coefficient K by the category calling submodule according to the category of the measured fixed asset;
s35, accurately calculating the corresponding value breakage rate M after the aging breakage corresponding to each product Folding device 。
Corresponding value breakage rate M after aging breakage Folding device The calculation formula of (2) is as follows:
substituting K into corresponding aging grade constant values K1, K2 or K3 according to the fixed asset class, D being a recorded time value, and T being an average temperature value during use;
value M additionally obtained by maintenance Health-care product The calculation formula of (2) is as follows:
M security device =30%·H
Wherein H is the value spent in each batch of maintenance, 30% is a fixed proportional value of the promotion value obtained by corresponding the value spent after maintenance to the fixed asset value, M Health-care product The fixed asset value is increased for maintenance.
Value M after actual asset assessment Now that The calculation formula of (2) is as follows:
M now that =M Now 1 +M Now 2 +M Now 3 +…
Wherein M is Now 1 、M Now 2 、M Now 3 And the like are different types of actual fixed asset evaluation values of different batches, the calculation formulas are the same, only the K value needs to be switched according to the specified asset class, M Now that And finally obtaining the actual value of the total assets of the enterprise for the actual asset evaluation module.
It is noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus.
Finally, it should be noted that: although the present invention has been described in detail with reference to the foregoing embodiments, it will be apparent to those skilled in the art that modifications may be made to the embodiments described above, or equivalents may be substituted for elements thereof. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (1)
1. The utility model provides a data collection system for enterprise asset arrangement based on block chain, includes system login module, fixed asset collection module, actual asset evaluation module and block chain network module which characterized in that: the system login module is used for identifying and verifying a login data collection system, the fixed asset collection module is used for inputting fixed assets of an overall enterprise, the actual asset evaluation module is used for calculating and evaluating the actual asset value according to the aging loss of the fixed assets, the block chain network module is respectively in network connection with the system login module, the fixed asset collection module and the actual asset evaluation module, and the block chain network module is used for connecting a network cloud and storing a shared real-time information database;
the fixed asset collection module comprises an information input module, a rapid scanning data import unit, a data batch import module, a data storage module and a multi-platform data synchronization module;
the working method of the system login module and the fixed asset collection module comprises the following steps:
A. opening a data collection system and entering a system login page;
B. pressing the input finger fingerprint information and scanning the face information to log in a data collection system;
C. inputting a secondary password verification request again before the operation of inputting the fixed asset information;
D. scanning image information input data collection system is carried out on the first fixed asset in the same batch, classification of the first fixed asset is automatically or manually changed, value information is filled, and input time is recorded;
E. scanning subsequent fixed assets in the same batch, and automatically inputting data according to the first fixed asset to a data input collection system;
F. the data batch import module is used for organizing the input data and then importing the input data into the storage module in batches;
G. importing data and uploading the data to a block chain cloud end, and synchronously updating the data into latest enterprise fixed asset data by multiple platforms;
the real asset evaluation module is electrically connected with the fixed asset collection module, the real asset evaluation module comprises a breakage rate calculation module, an asset deletion module and a maintenance overall planning module, the breakage rate calculation module is used for calculating values of different types of fixed assets after natural aging is broken, the asset deletion module is used for recording damaged equipment values in the fixed assets and deleting the damaged equipment values from the data storage module, and the maintenance overall planning module is used for counting the cost of maintenance consumption of the fixed assets in the using process;
the working method of the actual asset evaluation module comprises the following steps:
s1, importing the total fixed asset value M collected by the fixed asset collection modules in the same batch General assembly ;
S2, deducting deleted values M recorded by asset deletion modules in the same batch Deleting device ;
S3, multiplying the same batch of breakage rate calculation module to calculate the value breakage rate M after natural aging Folding device ;
S4, adding the value M additionally obtained by maintenance in the same batch Health-care product ;
S5, calculating the actual asset values of all batches, summing the actual asset values, and deriving the value M after the actual asset evaluation Now that ;
The breakage rate calculation module comprises a time accumulation unit, a temperature average unit and a category calling sub-module, the time accumulation unit is used for accumulating the recording time of each batch, the temperature tie unit is used for accumulating the average air temperature of each day after each batch is recorded and then dividing the accumulated average air temperature by the number of time accumulation days to obtain the total recorded average air temperature, the category calling sub-module is electrically connected with the category recording sub-module, and the category calling sub-module is used for calling the category classified when each batch is recorded;
the step S3 further includes:
s31, extracting fixed asset data recorded in the same batch;
s32, extracting the use accumulation time D unit of the same product in the same batch to be day;
s33, extracting the average temperature T unit of the same batch of the same product during the use period to be Fahrenheit degree;
s34, dividing the aging breakage coefficient K into three grade corresponding values of K1, K2 and K3, and finding out the corresponding aging coefficient K by the category calling submodule according to the category of the measured fixed asset;
s35, accurately calculating the corresponding value breakage rate M after the aging breakage corresponding to each product Folding device ;
The corresponding value breakage rate M after aging breakage Folding device The calculation formula of (2) is as follows:
substituting K into corresponding aging grade constant values K1, K2 or K3 according to the fixed asset class, D being a recorded time value, and T being an average temperature value during use;
value M additionally obtained by maintenance Health-care product The calculation formula of (c) is:
M health-care product =30%·H
Wherein H is the value spent in each batch of maintenance, 30% is a fixed proportional value of the promotion value obtained by corresponding the value spent after maintenance to the fixed asset value, M Health-care product An enhanced value for the fixed asset value after maintenance;
the post-actual asset valuation value M Now that The calculation formula of (2) is as follows:
M now that =M Now 1 +M Now 2 +M Now 3 +…
Wherein M is Now 1 、M Now 2 、M Now 3 And the like are different types of actual fixed asset evaluation values of different batches, the calculation formulas are the same, only the K value needs to be switched according to the specified asset class, M Now that And finally obtaining the actual value of the total assets of the enterprise for the actual asset evaluation module.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210754393.XA CN115293498A (en) | 2021-08-27 | 2021-08-27 | Data collection system for enterprise asset arrangement based on block chain |
Applications Claiming Priority (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210754393.XA CN115293498A (en) | 2021-08-27 | 2021-08-27 | Data collection system for enterprise asset arrangement based on block chain |
CN202110996503.9A CN113706015B (en) | 2021-08-27 | 2021-08-27 | Data collection system for enterprise asset arrangement based on block chain |
Related Parent Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110996503.9A Division CN113706015B (en) | 2021-08-27 | 2021-08-27 | Data collection system for enterprise asset arrangement based on block chain |
Publications (1)
Publication Number | Publication Date |
---|---|
CN115293498A true CN115293498A (en) | 2022-11-04 |
Family
ID=78656091
Family Applications (2)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210754393.XA Pending CN115293498A (en) | 2021-08-27 | 2021-08-27 | Data collection system for enterprise asset arrangement based on block chain |
CN202110996503.9A Active CN113706015B (en) | 2021-08-27 | 2021-08-27 | Data collection system for enterprise asset arrangement based on block chain |
Family Applications After (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202110996503.9A Active CN113706015B (en) | 2021-08-27 | 2021-08-27 | Data collection system for enterprise asset arrangement based on block chain |
Country Status (1)
Country | Link |
---|---|
CN (2) | CN115293498A (en) |
Families Citing this family (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN114386914A (en) * | 2022-01-13 | 2022-04-22 | 叶番姜 | Intelligent logistics transmission system based on block chain |
CN114358925A (en) * | 2022-01-17 | 2022-04-15 | 孙成海 | Loan risk decision method and system based on block chain |
CN114386995A (en) * | 2022-01-24 | 2022-04-22 | 海南经济特区物权数字化网络科技有限公司 | Thing networking property right asset traceability system based on block chain |
CN115170040B (en) * | 2022-09-08 | 2022-12-20 | 南方电网数字电网研究院有限公司 | Method and system for dynamically updating asset directory |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2008015845A (en) * | 2006-07-06 | 2008-01-24 | Nippon Syst Wear Kk | Asset management system, asset management method and asset management program |
CN104200245A (en) * | 2014-08-10 | 2014-12-10 | 国家电网公司 | Quick checking method for life cycle asset of power asset |
CN104881763A (en) * | 2015-06-30 | 2015-09-02 | 山东钢铁股份有限公司 | Fixed-asset information management system |
CN111506662A (en) * | 2020-04-24 | 2020-08-07 | 江苏荣泽信息科技股份有限公司 | Data collection system for enterprise fixed asset arrangement based on block chain |
Family Cites Families (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN105631592A (en) * | 2015-12-28 | 2016-06-01 | 海南华人智慧科技有限公司 | RFID asset supervision system based on internet of things |
CN109658024A (en) * | 2018-12-07 | 2019-04-19 | 贵州智软科技有限公司 | Assets big data application comprehensive management platform |
CN110322191B (en) * | 2019-05-29 | 2021-10-08 | 泰康保险集团股份有限公司 | Block chain-based fixed asset management method, system, medium, and electronic device |
CN110334947A (en) * | 2019-07-05 | 2019-10-15 | 北京市勤天美信科技有限公司 | A kind of fixed assets management system |
CN110880051A (en) * | 2019-11-12 | 2020-03-13 | 上海融贷通金融信息服务有限公司 | Enterprise value evaluation cloud service system |
CN112464192A (en) * | 2020-10-26 | 2021-03-09 | 国网安徽省电力有限公司信息通信分公司 | Power grid data asset management system based on big data |
CN113283726A (en) * | 2021-05-17 | 2021-08-20 | 国网冀北电力有限公司 | Block chain asset detection, entry and evaluation system |
-
2021
- 2021-08-27 CN CN202210754393.XA patent/CN115293498A/en active Pending
- 2021-08-27 CN CN202110996503.9A patent/CN113706015B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP2008015845A (en) * | 2006-07-06 | 2008-01-24 | Nippon Syst Wear Kk | Asset management system, asset management method and asset management program |
CN104200245A (en) * | 2014-08-10 | 2014-12-10 | 国家电网公司 | Quick checking method for life cycle asset of power asset |
CN104881763A (en) * | 2015-06-30 | 2015-09-02 | 山东钢铁股份有限公司 | Fixed-asset information management system |
CN111506662A (en) * | 2020-04-24 | 2020-08-07 | 江苏荣泽信息科技股份有限公司 | Data collection system for enterprise fixed asset arrangement based on block chain |
Also Published As
Publication number | Publication date |
---|---|
CN113706015A (en) | 2021-11-26 |
CN113706015B (en) | 2022-07-22 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN113706015B (en) | Data collection system for enterprise asset arrangement based on block chain | |
CN107967522A (en) | A kind of power grid technological transformation overhaul engineering Cost Management System and its control method | |
CN107909516A (en) | A kind of problem source of houses recognition methods and system | |
CN117114619B (en) | Project security management system based on big data analysis | |
CN117670256B (en) | BIM technology-based engineering cost accurate control system and method | |
CN112883062A (en) | Self-defined rule checking method not based on rule | |
CN110288142B (en) | XGboost algorithm-based engineering overrun prediction method | |
CN114971693A (en) | Engineering cost consultation management system based on BIM | |
CN115293798A (en) | Method and system for budget management of expropriation project based on BIM + GIS | |
CN114693100A (en) | Power supply station operation management system and method | |
CN117273456B (en) | Project cost intelligent management system based on big data technology | |
CN111882289B (en) | Device and method for measuring and calculating project data auditing index interval | |
CN112465457A (en) | Supervision project management method, system, device and computer storage medium | |
CN112765553B (en) | Engineering project management system based on big data | |
CN112505604B (en) | Measurement standard field evaluation process monitoring system | |
CN111752991B (en) | Meter data statistics method and device and meter statistics data acquisition method | |
CN114493881A (en) | Two-party cross-border trading platform and method based on block chain technology | |
CN114723406A (en) | Engineering cost estimation system | |
CN112837177A (en) | Key component basic data source for electric energy metering equipment and quality evaluation method | |
CN109858669A (en) | A kind of arrearage based on Information Entropy stops telegram in reply and complains tendency prediction technique | |
CN112632953B (en) | Method for rapidly and accurately detecting that multiple uploaded bill of materials belongs to same product | |
CN112465381B (en) | Building engineering construction progress data sharing scheduling management cloud platform based on cloud computing | |
CN112488572B (en) | Audit object recommendation method, device, equipment and medium | |
CN112308608B (en) | Data processing method and device for manufacturing cost of transformer substation, electronic equipment and storage medium | |
Efimova et al. | Data Quality and Standardization for Effective Use of Digital Platforms |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination |