CN117216593A - Automatic inventory system and inventory method for assets - Google Patents
Automatic inventory system and inventory method for assets Download PDFInfo
- Publication number
- CN117216593A CN117216593A CN202311464585.8A CN202311464585A CN117216593A CN 117216593 A CN117216593 A CN 117216593A CN 202311464585 A CN202311464585 A CN 202311464585A CN 117216593 A CN117216593 A CN 117216593A
- Authority
- CN
- China
- Prior art keywords
- inventory
- bill
- checking
- rule
- automatic
- 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
- 238000000034 method Methods 0.000 title claims abstract description 24
- 238000004458 analytical method Methods 0.000 claims abstract description 44
- 238000004364 calculation method Methods 0.000 claims abstract description 18
- 238000012937 correction Methods 0.000 claims abstract description 9
- 238000005265 energy consumption Methods 0.000 claims description 34
- 238000012423 maintenance Methods 0.000 claims description 14
- 238000004891 communication Methods 0.000 claims description 9
- 230000005611 electricity Effects 0.000 claims description 9
- 239000003502 gasoline Substances 0.000 claims description 9
- 239000001257 hydrogen Substances 0.000 claims description 9
- 229910052739 hydrogen Inorganic materials 0.000 claims description 9
- UFHFLCQGNIYNRP-UHFFFAOYSA-N Hydrogen Chemical compound [H][H] UFHFLCQGNIYNRP-UHFFFAOYSA-N 0.000 claims description 7
- 238000005259 measurement Methods 0.000 claims description 7
- 238000013507 mapping Methods 0.000 claims description 6
- -1 diesel Substances 0.000 claims description 2
- 238000012545 processing Methods 0.000 abstract description 2
- VNWKTOKETHGBQD-UHFFFAOYSA-N methane Chemical compound C VNWKTOKETHGBQD-UHFFFAOYSA-N 0.000 description 16
- 239000003949 liquefied natural gas Substances 0.000 description 8
- 239000003915 liquefied petroleum gas Substances 0.000 description 8
- 239000003345 natural gas Substances 0.000 description 8
- 238000007689 inspection Methods 0.000 description 5
- 150000002431 hydrogen Chemical class 0.000 description 4
- 238000012946 outsourcing Methods 0.000 description 4
- 238000007619 statistical method Methods 0.000 description 4
- 238000012795 verification Methods 0.000 description 3
- 238000012790 confirmation Methods 0.000 description 2
- 230000000694 effects Effects 0.000 description 2
- 239000000463 material Substances 0.000 description 2
- 238000013459 approach Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 239000002283 diesel fuel Substances 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000008520 organization Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Landscapes
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application relates to the technical field of data processing, and discloses an automatic checking system and a checking method of assets, wherein the checking system comprises the following steps: an inventory rule definition module for defining a threshold value of the inventory rule; the inventory bill storage module is used for collecting original bills; the checking bill calculation module is used for automatically matching and calculating the original bill and the threshold value to generate an automatic checking list; the inventory rule correction module is used for manually checking the automatic inventory list and feeding back a checking result to the list analysis model; the inventory analysis model is used for outputting deviation analysis and correcting the threshold value. The application can intelligently judge the information of the category, the number, the position and the like of the assets, so that the inventory process is more accurate; the inventory participants are more extensive, and the inventory results are more accurate.
Description
Technical Field
The application relates to the technical field of data processing, in particular to an automatic inventory system and an inventory method of assets.
Background
In recent years, as asset management is becoming finer, inventory management is one of the very important links. Manual inventory, while a traditional approach, can take a significant amount of time, effort and material. With the development and intervention of system functions, automatic inventory of assets will become a mainstream mode of inventory. Although the present checking modes are various, as each mode is not related, the modes and the data are not effectively integrated, the traditional methods, subjective ideas, objective demands and the like have large differences, and the objective, fair and effective checking demands can not be met.
The method for checking the assets at the present stage mainly comprises the steps of making a checking plan according to detailed information of an asset account, and making an organization personnel to perform centralized checking on the assets within a specified time period after the completion of the checking plan. Such conventional inventory is subjective and unique. Objective, real and effective asset checking and counting can not be achieved. Especially, the dock asset equipment is diversified, the distribution is wide, the density is not uniform and the like. The method has the advantages that the service knowledge requirement on asset checking personnel is high, the checking time is short, personnel tension and the like are caused, the supporting checking result data is insufficient, and the situation that the subjective consciousness behavior data is high is doped.
In summary, there is a need to design an automatic inventory system and inventory method for assets to solve the above-mentioned problems in the prior art.
Disclosure of Invention
In order to solve the problems in the prior art, the application provides an automatic inventory system and an inventory method for assets, and solves the problems of larger subjectivity and inaccurate inventory results in the traditional inventory process.
In order to achieve the above purpose, the application adopts the following technical scheme:
an automatic inventory system for an asset, comprising:
an inventory rule definition module for defining a threshold value of the inventory rule;
the inventory bill storage module is used for collecting original bills, wherein the original bills comprise an energy consumption bill of an asset and a service bill of the asset;
the checking bill calculation module is in communication connection with the checking rule definition module and the checking bill storage module and is used for automatically matching and calculating the original bill and the threshold value to generate an automatic checking list;
the checking rule correction module is in communication connection with the checking bill calculation module and is used for manually checking the automatic checking bill and feeding back a checking result to the bill analysis model; the inventory analysis model is used for outputting deviation analysis;
the inventory rule correction module is also in communication connection with the inventory rule definition module and is also used for correcting the threshold value according to the deviation analysis.
In some embodiments of the present application, the inventory rules include energy consumption rules and business record rules; the granularity of the time counting condition of the energy consumption rule is month, and the granularity of the time counting condition of the business recording rule is day.
In some embodiments of the application, the energy consumption rules include electricity, gasoline, diesel, liquefied natural gas, compressed natural gas, liquefied petroleum gas, hydrogen.
In some embodiments of the application, the business record rules include a run record, a maintenance record, an out-of-commission maintenance application, a spot check record, a measurement record, an application record, and a verification record.
In some embodiments of the application, the automatic inventory list displays a conclusion of whether to get a disc and a disc-to-basis.
In some embodiments of the present application, the method for checking the checking system includes the following steps:
s1, storing an energy consumption bill and a service use bill of the asset into the inventory bill storage module;
s2, defining an inventory rule threshold, establishing an inventory document, and generating an automatic inventory list after carrying out automatic matching calculation on the information in the step S1 by utilizing the inventory document;
s3, manually checking the automatic inventory in the step S2, and inputting a checking result into an inventory analysis model, wherein the inventory analysis model outputs deviation analysis;
and S4, correcting the threshold value in the step S2 according to the deviation analysis.
In some embodiments of the present application, the inventory rules in step S2 include an energy consumption rule and a business record rule;
the logic of the automatic matching calculation is as follows:
for the energy consumption rule: comparing the energy consumption and the number of documents in the previous N month of the current year and month to the last month of the current year and month with a threshold value;
for the business record rule: and comparing the number of documents from the previous N days of the current day to the previous day of the current day with a threshold value.
In some embodiments of the present application, the calculating logic in step S2 further includes:
if any one related energy consumption bill or business bill exists in the asset within the threshold, judging that the asset is in the arrival state; if the energy consumption bill quantity or the service bill quantity for continuous N days/months is 0, the user is judged to be not coiled.
In some embodiments of the present application, a disc-to-basis is displayed in the automatic inventory list, and a decision basis is displayed in the verification result; and the inventory analysis model establishes a mapping relation set by utilizing a judgment basis of the automatic inventory and the manual check result, and generates deviation analysis by utilizing the mapping relation set.
In some embodiments of the application, the fields of the inventory analysis model include inventory numbers, asset codes, asset names, inventory persons, bill names, bill codes, energy types, energy consumption.
Compared with the prior art, the technical scheme of the application has the following technical effects:
according to the application, the inventory bill storage module is arranged to acquire corresponding bill data of inventory assets for collection and statistical analysis, the statistical analysis rule is based on the system prefabricated automatic inventory rule, the statistical data is subjected to numerical matching analysis, the inventory bill is judged to be on inventory according to the threshold rule, and if the inventory bill is not in inventory according to the threshold rule, the inventory bill is judged to be not on inventory. The information such as the category, the number and the position of the assets can be intelligently judged, so that the inventory process is more accurate.
Basic information and characteristics of the asset checking object are maintained in system information, and business documents which are reserved in the system by operators, maintainers and users in daily asset operation can effectively support the existence state of the checking asset and serve as a virtual checking person to conduct archiving record. Compared with the traditional asset inventory, inventory participants are more widely checked, and inventory results are more credible.
The operator can check the basis information through confirming the checking, so as to achieve the purpose of checking the confirmation result. In the automatic inventory calculation and analysis process, the system can automatically identify all asset information without manual intervention and generate a basis record and result.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of an automatic inventory system for assets in embodiment 1.
Fig. 2 is a flow chart of an automatic inventory method of an asset in embodiment 2.
Detailed Description
The following description of the embodiments of the present application will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
In the description of the present application, it should be understood that the terms "center," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like indicate orientations or positional relationships based on the orientation or positional relationships shown in the drawings, merely to facilitate describing the present application and simplify the description, and do not indicate or imply that the devices or elements referred to must have a specific orientation, be configured and operated in a specific orientation, and thus should not be construed as limiting the present application.
The terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include one or more such feature. In the description of the present application, unless otherwise indicated, the meaning of "a plurality" is two or more.
In the description of the present application, it should be noted that, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be either fixedly connected, detachably connected, or integrally connected, for example; may be mechanically coupled, directly coupled, or indirectly coupled via an intermediate medium. The specific meaning of the above terms in the present application will be understood in specific cases by those of ordinary skill in the art.
In the present application, unless expressly stated or limited otherwise, a first feature "above" or "below" a second feature may include both the first and second features being in direct contact, as well as the first and second features not being in direct contact but being in contact with each other through additional features therebetween. Moreover, a first feature being "above," "over" and "on" a second feature includes the first feature being directly above and obliquely above the second feature, or simply indicating that the first feature is higher in level than the second feature. The first feature being "under", "below" and "beneath" the second feature includes the first feature being directly under and obliquely below the second feature, or simply means that the first feature is less level than the second feature.
The following disclosure provides many different embodiments, or examples, for implementing different features of the application. In order to simplify the present disclosure, components and arrangements of specific examples are described below. They are, of course, merely examples and are not intended to limit the application. Furthermore, the present application may repeat reference numerals and/or letters in the various examples, which are for the purpose of brevity and clarity, and which do not themselves indicate the relationship between the various embodiments and/or arrangements discussed.
Example 1: referring to fig. 1, an automatic inventory system for an asset, comprising:
an inventory rule definition module for defining a threshold value of the inventory rule;
the inventory bill storage module is used for collecting original bills, wherein the original bills comprise an energy consumption bill of an asset and a service bill of the asset;
the checking bill calculation module is in communication connection with the checking rule definition module and the checking bill storage module and is used for automatically matching and calculating the original bill and the threshold value to generate an automatic checking list;
the checking rule correction module is in communication connection with the checking bill calculation module and is used for manually checking the automatic checking bill and feeding back a checking result to the bill analysis model; the inventory analysis model is used for outputting deviation analysis;
the inventory rule correction module is also in communication connection with the inventory rule definition module and is also used for correcting the threshold value according to the deviation analysis.
Specifically, for the inventory rule definition module, the inventory rule includes an energy consumption rule and a business record rule; the granularity of the time counting condition of the energy consumption rule is month, and the granularity of the time counting condition of the business recording rule is day.
The energy consumption rules include electricity (kWh), gasoline (liter) diesel (liter), liquefied natural gas (kg), compressed natural gas (kg), liquefied petroleum gas (kg), hydrogen (kg). The inventory rule definition module can set a threshold value for each energy consumption rule, so that when the asset is in the checked time period, the asset can be checked if the asset consumes energy;
the business record rules comprise operation records, maintenance records, outsourcing maintenance applications, spot check records, measurement records, application records and inspection records. The checking rule definition module can set a threshold value for each business record rule, wherein the threshold value can be data such as date of the business record, and if the asset has corresponding use record in the checked time period, the asset can be checked.
For the inventory document storage module, basic information and characteristics of an asset inventory object, namely data related to the inventory document, are maintained in system information, and business documents reserved in a system by operators, maintainers, users and the like in daily asset operation can powerfully support the existence state of the inventory asset and serve as 'virtual inventory persons' for archiving and recording. The storage of the inventory documents can be realized; compared with the traditional asset inventory, inventory participants are more widely checked, and inventory results are more credible.
For the checking bill calculation module, matching calculation is carried out on the checking bill according to the checking rule, the bill meeting the threshold value of the checking rule is judged to be checked, and the generated automatic checking list not only displays the conclusion of whether the asset is checked, but also displays the check basis; so as to carry out verification and correction at a later stage.
For the checking rule correction module, since the automatic checking list generated by the checking bill calculation module is automatically generated according to the comparison of the checking rule threshold values, errors can be generated, and the errors need to be corrected manually, namely, whether the assets which are not checked are correct or not needs to be checked, and whether the bill on which the assets are checked are based is correct or not needs to be checked.
Example 2: referring to fig. 2, the checking method of the checking system includes the following steps:
s1, storing an energy consumption bill and a service use bill of the asset into the inventory bill storage module;
in daily work, an operator uploads a bill generated by operation to a system in real time, so that the bill can be stored. A large number of documents can be called in real time in the checking process.
For example, the automatic inventory asset range is a loading and unloading mechanical asset which passes the approval, and the gasoline record is obtained from the running record table body gasoline (liter) and the diesel consumption record is obtained from the diesel (liter). The electricity consumption record is obtained in electricity (kWh), the compressed natural gas record is obtained in compressed natural gas (kg), the liquefied natural gas record is obtained in liquefied natural gas (kg), the liquefied petroleum gas record is obtained in liquefied petroleum gas (kg), and the hydrogen consumption record is obtained in hydrogen (kg). And acquiring the number of the bill numbers of the operation records, the maintenance records, the energy consumption record associated worksheet records, the outsourcing maintenance records, the spot check records, the measurement records, the application records and the inspection records of the asset from the EAM system.
S2, defining an inventory rule threshold, establishing an inventory document, and generating an automatic inventory list after carrying out automatic matching calculation on the information in the step S1 by utilizing the inventory document;
specifically, setting calculation logic of electricity (kWh), gasoline (liter) diesel oil (liter), liquefied natural gas (kg), compressed natural gas (kg), liquefied petroleum gas (kg), hydrogen (kg) and operation record threshold values, namely comparing the energy consumption and the bill quantity in the previous N month of the current year and month to the previous month of the current year and month with the threshold values; the number of documents from the first N days of the current day to the first day of the current day is compared with a threshold value.
If any one related energy consumption bill or business bill exists in the asset within the threshold period, judging that the asset is on the shelf; if the continuous N days/months energy consumption/business bill quantity is 0, judging that the bill is not coiled (N is the number of judging rule days/months); (N is the number of days/month threshold).
That is, according to the property of the inventory asset, the inventory rule is selected, then the threshold value of the inventory rule is set, and then each bill is compared with the threshold value, and finally the automatic inventory list which is or is not recorded is obtained.
For example, the system will analyze the loading and unloading machinery equipment in the inventory range, and automatically give a reference conclusion about whether the asset is on inventory, i.e. an automatic inventory, according to the conditions of electricity (kWh), gasoline (liter) diesel (liter), liquefied natural gas (kg), compressed natural gas (kg), liquefied petroleum gas (kg), hydrogen (kg), operation records, maintenance records, offsite maintenance applications, inventory records, measurement records, insurance records, and check records in a certain time range.
And the automatic inventory system judges that the inventory is on the shelf, and the judgment basis is needed to be displayed. According to the bill name and the energy type name of the energy consumption data, the contents comprise operation records, maintenance records, outsourcing maintenance applications, spot inspection records, measurement records, application records, inspection records, electricity (kWh), gasoline (liter) diesel (liter), liquefied natural gas (kg), compressed natural gas (kg), liquefied petroleum gas (kg), hydrogen (kg).
S3, manually checking the automatic inventory in the step S2, and inputting a checking result into an inventory analysis model, wherein the inventory analysis model outputs deviation analysis;
specifically, the input quantity of the inventory analysis model is an automatic inventory and a check result, the output quantity is deviation analysis, the automatic inventory is provided with an inventory basis, and the check result is provided with a judgment basis; and the inventory analysis model establishes a mapping relation set by utilizing a judgment basis of the automatic inventory and the manual check result, and generates deviation analysis by utilizing the mapping relation set.
The fields of the inventory analysis model comprise inventory numbers, asset codes, asset names, inventory persons, bill names, bill codes, energy types and energy consumption.
The bill inquiry conditions include: inventory sheet number, asset code, asset name, inventory person.
The inventory analysis model is from a pull list, wherein the inventory number, the asset code, the asset name, the inventory person and the automatic inventory date information in the inventory are obtained, the operation record, the maintenance record, the outsourcing maintenance application, the inventory record, the measurement record, the application record, the inspection record, the electricity (kWh), the gasoline (liter), the diesel (liter), the liquefied natural gas (kg), the compressed natural gas (kg), the liquefied petroleum gas (kg) and the hydrogen (kg) are obtained from the EAM, and the data which is not 0 is displayed in the report.
And S4, correcting the threshold value in the step S2 according to the deviation analysis.
Specifically, after analysis is completed, the threshold value set by the automatic inventory rules of the asset is corrected, so that the self-learning function is realized.
Compared with the prior art, the technical scheme of the application has the following technical effects:
according to the application, the inventory bill storage module is arranged to acquire corresponding bill data of inventory assets, collect and carry out statistical analysis, and the condition of the statistical data is diversified, so that the inventory bill data can be acquired from big data, the Internet of things technology and system function nodes;
and the statistical analysis rule is based on the system prefabricated automatic checking rule, the statistical data is subjected to numerical matching analysis, the judgment that the system meets the threshold rule is the disc, and if the system does not meet the threshold rule, the system is judged to be the disc. The information such as the category, the number and the position of the assets can be intelligently judged, so that the inventory process is more accurate.
Basic information and characteristics of the asset checking object are maintained in system information, and business documents which are reserved in the system by operators, maintainers and users in daily asset operation can effectively support the existence state of the checking asset and serve as a virtual checking person to conduct archiving record. Compared with the traditional asset inventory, inventory participants are more widely checked, and inventory results are more credible.
The operator can check the basis information through confirming the checking, so as to achieve the purpose of checking the confirmation result. In the automatic inventory calculation and analysis process, the system can automatically identify all asset information without manual intervention and generate a basis record and result.
In the description of the above embodiments, particular features, structures, materials, or characteristics may be combined in any suitable manner in any one or more embodiments or examples.
The foregoing is merely illustrative of the present application, and the present application is not limited thereto, and any changes or substitutions easily contemplated by those skilled in the art within the scope of the present application should be included in the scope of the present application. Therefore, the protection scope of the application is subject to the protection scope of the claims.
Claims (10)
1. An automatic inventory system for an asset, comprising:
an inventory rule definition module for defining a threshold value of the inventory rule;
the inventory bill storage module is used for collecting original bills, wherein the original bills comprise an energy consumption bill of an asset and a service bill of the asset;
the checking bill calculation module is in communication connection with the checking rule definition module and the checking bill storage module and is used for automatically matching and calculating the original bill and the threshold value to generate an automatic checking list;
the checking rule correction module is in communication connection with the checking bill calculation module and is used for manually checking the automatic checking bill and feeding back a checking result to the bill analysis model; the inventory analysis model is used for outputting deviation analysis;
the inventory rule correction module is also in communication connection with the inventory rule definition module and is also used for correcting the threshold value according to the deviation analysis.
2. The automatic inventory system of an asset according to claim 1, wherein the inventory rules include energy consumption rules and business record rules; the granularity of the time counting condition of the energy consumption rule is month, and the granularity of the time counting condition of the business recording rule is day.
3. The system of claim 2, wherein the energy consumption rules include electricity, gasoline, diesel, lng, cng, lpg, hydrogen.
4. An automated inventory system for assets according to claim 2 wherein said business record rules include run records, maintenance records, offsite maintenance applications, inventory records, measurement records, application records, check records.
5. An automated inventory system for assets according to claim 1, wherein said automated inventory listing displays conclusions as to whether to inventory and inventory bases.
6. An inventory method of an automatic inventory system, comprising the steps of:
s1, storing an energy consumption bill and a service bill of an asset into an inventory bill storage module;
s2, defining an inventory rule threshold, establishing an inventory document, and generating an automatic inventory list after carrying out automatic matching calculation on the information in the step S1 by utilizing the inventory document;
s3, manually checking the automatic inventory in the step S2, and inputting a checking result into an inventory analysis model, wherein the inventory analysis model outputs deviation analysis;
and S4, correcting the threshold value in the step S2 according to the deviation analysis.
7. The method according to claim 6, wherein the inventory rules in step S2 include an energy consumption rule and a business record rule;
the logic of the automatic matching calculation is as follows:
for the energy consumption rule: comparing the energy consumption and the number of documents in the previous N month of the current year and month to the last month of the current year and month with a threshold value;
for the business record rule: and comparing the number of documents from the previous N days of the current day to the previous day of the current day with a threshold value.
8. The inventory method according to claim 6, wherein the calculating logic in the step S2 further includes:
if any one related energy consumption bill or business bill exists in the asset within the threshold, judging that the asset is in the arrival state; if the energy consumption bill quantity or the service bill quantity for continuous N days/months is 0, the user is judged to be not coiled.
9. The method according to claim 6, wherein a disc-to-disc basis is shown in the automatic inventory list, and a decision basis is shown in the collation result; and the inventory analysis model establishes a mapping relation set by utilizing a judgment basis of the automatic inventory and the manual check result, and generates deviation analysis by utilizing the mapping relation set.
10. The inventory method of claim 6, in which the inventory analysis model fields include inventory number, asset code, asset name, inventory person, bill name, bill code, energy type, energy consumption.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311464585.8A CN117216593A (en) | 2023-11-07 | 2023-11-07 | Automatic inventory system and inventory method for assets |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311464585.8A CN117216593A (en) | 2023-11-07 | 2023-11-07 | Automatic inventory system and inventory method for assets |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117216593A true CN117216593A (en) | 2023-12-12 |
Family
ID=89051376
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311464585.8A Pending CN117216593A (en) | 2023-11-07 | 2023-11-07 | Automatic inventory system and inventory method for assets |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117216593A (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112819407A (en) * | 2021-01-28 | 2021-05-18 | 比姆泰客信息科技(上海)有限公司 | Intelligent inventory checking system and method based on component coding and information acquisition technology |
| CN114943525A (en) * | 2022-06-21 | 2022-08-26 | 云南中烟工业有限责任公司 | Multi-dimensional data checking system |
| KR102453832B1 (en) * | 2022-04-07 | 2022-10-12 | 한전케이디엔주식회사 | Apparatus, method and program for providing advanced metering infrastructure construction management services |
| CN115269589A (en) * | 2022-06-23 | 2022-11-01 | 国网江西省电力有限公司信息通信分公司 | Data asset checking method |
| CN116738163A (en) * | 2023-05-10 | 2023-09-12 | 中南大学 | Energy consumption monitoring management system and method based on rule engine |
| CN116821107A (en) * | 2023-05-23 | 2023-09-29 | 朗坤智慧科技股份有限公司 | Main data intelligent management method and system for intelligent power plant |
-
2023
- 2023-11-07 CN CN202311464585.8A patent/CN117216593A/en active Pending
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112819407A (en) * | 2021-01-28 | 2021-05-18 | 比姆泰客信息科技(上海)有限公司 | Intelligent inventory checking system and method based on component coding and information acquisition technology |
| KR102453832B1 (en) * | 2022-04-07 | 2022-10-12 | 한전케이디엔주식회사 | Apparatus, method and program for providing advanced metering infrastructure construction management services |
| CN114943525A (en) * | 2022-06-21 | 2022-08-26 | 云南中烟工业有限责任公司 | Multi-dimensional data checking system |
| CN115269589A (en) * | 2022-06-23 | 2022-11-01 | 国网江西省电力有限公司信息通信分公司 | Data asset checking method |
| CN116738163A (en) * | 2023-05-10 | 2023-09-12 | 中南大学 | Energy consumption monitoring management system and method based on rule engine |
| CN116821107A (en) * | 2023-05-23 | 2023-09-29 | 朗坤智慧科技股份有限公司 | Main data intelligent management method and system for intelligent power plant |
Non-Patent Citations (1)
| Title |
|---|
| 裴芳;董卫平;: "热网监控及能耗分析***在供热运行中的实用分析", 区域供热, no. 03, pages 38 - 43 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| JP2022518887A (en) | Profit evaluation method for implementing technical standardization for large and medium-sized companies | |
| Oakland et al. | Statistical process control | |
| US5307262A (en) | Patient data quality review method and system | |
| CN111861366A (en) | Project-ground intelligent auditing system and computer | |
| CN112800044B (en) | Data quality judging and monitoring method, management system, storage medium and terminal | |
| CN103971192A (en) | Intelligent lab managing system | |
| JP6049799B2 (en) | Management support program | |
| US20010051960A1 (en) | Methods and systems for conducting due diligence | |
| Javaid et al. | Supply chain responsiveness and supply chain performance: the role of supply chain risk management | |
| CN115330404A (en) | System and method for electric power marketing inspection | |
| Pierce | What's in Your Information Product Inventory? | |
| CN114841790A (en) | Supply chain financial risk assessment method and system based on big data | |
| Ibrahim | Digital quality management systems: benefits and challenges | |
| CN113610595A (en) | Method and system for informatization management of price reporting and reviewing | |
| CN111459956A (en) | Engineering quality latent defect insurance (IDI) project technology risk management method and system | |
| CN117216593A (en) | Automatic inventory system and inventory method for assets | |
| CN112330267A (en) | Chemical plant production operation management system | |
| CN116485322A (en) | Intelligent auditing system and method for enterprise financial resolution report data | |
| CN116012031A (en) | Intelligent inspection digital platform and system for electric power marketing | |
| CN115689386A (en) | Enterprise operation monitoring method based on knowledge graph and FP (Fabry-Perot) growth algorithm | |
| CN113592611A (en) | Integrated management system for centralized acquisition and supervision of garbage incineration enterprises | |
| CN117216592A (en) | Idle analysis system and analysis method for assets | |
| English | Total quality data management (TQdM) | |
| Ikasari et al. | Supply Chain Performance Measurement using Hybrid SCOR Model and System Dynamics | |
| CN112418600A (en) | Enterprise policy scoring method and system based on index set |
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 |