CN114202242A - Full life cycle management system based on asset configuration - Google Patents
Full life cycle management system based on asset configuration Download PDFInfo
- Publication number
- CN114202242A CN114202242A CN202111655402.1A CN202111655402A CN114202242A CN 114202242 A CN114202242 A CN 114202242A CN 202111655402 A CN202111655402 A CN 202111655402A CN 114202242 A CN114202242 A CN 114202242A
- Authority
- CN
- China
- Prior art keywords
- equipment
- parameters
- management system
- devices
- processing module
- 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
- 230000003993 interaction Effects 0.000 claims abstract description 10
- 238000000034 method Methods 0.000 claims abstract description 8
- 238000012545 processing Methods 0.000 claims description 25
- 230000002159 abnormal effect Effects 0.000 claims description 14
- 238000011156 evaluation Methods 0.000 claims description 11
- 238000004891 communication Methods 0.000 claims description 5
- 238000007781 pre-processing Methods 0.000 claims description 4
- 238000012423 maintenance Methods 0.000 description 9
- 238000012544 monitoring process Methods 0.000 description 4
- 230000000007 visual effect Effects 0.000 description 3
- 238000005516 engineering process Methods 0.000 description 2
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000003449 preventive effect Effects 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
- 238000013475 authorization Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000003247 decreasing effect Effects 0.000 description 1
- 238000010586 diagram Methods 0.000 description 1
- 238000013210 evaluation model Methods 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
- G06Q10/06315—Needs-based resource requirements planning or analysis
-
- 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
- G06Q10/08—Logistics, e.g. warehousing, loading or distribution; Inventory or stock management
- G06Q10/087—Inventory or stock management, e.g. order filling, procurement or balancing against orders
Landscapes
- Business, Economics & Management (AREA)
- Human Resources & Organizations (AREA)
- Engineering & Computer Science (AREA)
- Economics (AREA)
- Entrepreneurship & Innovation (AREA)
- Strategic Management (AREA)
- General Physics & Mathematics (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Marketing (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- Development Economics (AREA)
- General Business, Economics & Management (AREA)
- Game Theory and Decision Science (AREA)
- Educational Administration (AREA)
- Accounting & Taxation (AREA)
- Finance (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The invention discloses a full life cycle management system based on asset allocation, which relates to the technical field of enterprise asset management and solves the technical problems that equipment asset management is disordered and the management efficiency is reduced because equipment and an operation process cannot be effectively monitored in the prior art; the method and the system have the advantages that the standard parameters of the equipment are acquired in real time or at regular time through the data acquisition modules, the topological relation of the equipment is established, meanwhile, the running state of the equipment is evaluated and early warned according to the related parameters of the equipment, meanwhile, the data interaction with a supplier is kept, the management order of the equipment assets is guaranteed, and the management efficiency is improved; the position label comprises a position coordinate or a position number, the position label of the equipment is obtained according to basic parameters, and the initial node establishes an equipment topological relation by combining the position label and the incidence relation among all running equipment; the topological relation of the equipment can be quickly positioned to the position of the fault equipment, and the enterprise equipment assets can be integrally monitored.
Description
Technical Field
The invention belongs to the field of enterprise asset management, relates to a full life cycle management technology based on asset configuration, and particularly relates to a full life cycle management system based on asset configuration.
Background
The enterprise asset management is based on an asset model and an equipment ledger, strengthens the management idea of cost accounting, reasonably optimizes related people, properties and objects by taking the creation, approval, execution and closing of work orders as main lines, converts the traditional passive maintenance into active preventive maintenance, and is integrated with a real-time data acquisition system to realize a preventive maintenance system.
In the prior art, basic information of equipment assets is obtained, relevant information of the equipment assets is displayed through a webpage version or other versions of visual platforms, and when the equipment assets have faults, relevant personnel are warned; after basic information is obtained, the prior art only shows the basic information and other related information of equipment, does not monitor and predict the basic information and the operation process of the equipment in real time, and cannot provide effective solutions when the equipment fails; therefore, a need exists for a full lifecycle management system based on asset configuration.
Disclosure of Invention
The present invention is directed to solving at least one of the problems of the prior art; the invention provides a full life cycle management system based on asset configuration, which is used for solving the technical problems that the acquired equipment information is visually displayed, the equipment and the operation process cannot be effectively monitored, the equipment asset management is disordered and the management efficiency is reduced in the prior art.
To achieve the above object, an embodiment according to a first aspect of the present invention provides an asset configuration-based full lifecycle management system, comprising:
a data acquisition module: the method comprises the steps that standard parameters of equipment are obtained in real time or in a timing mode through intelligent equipment connected with the intelligent equipment, and the standard parameters are sent to a data processing module after data preprocessing is carried out on the standard parameters; the standard parameters comprise basic parameters and state parameters;
a data processing module: constructing a device topological relation according to the device position; evaluating the running state of the equipment through the standard parameters, updating the topological relation of the equipment according to the state evaluation result, and simultaneously associating personnel for early warning; and
and finishing data interaction with the supplier according to the topological relation of the equipment and the inventory data.
Preferably, the data processing module is in communication and/or electrical connection with a plurality of data acquisition modules; the intelligent device comprises a sensor, a camera and an RFID collector, and the collection time of the intelligent device is manually set.
Preferably, the constructing of the device topological relation by the data processing module includes:
acquiring a position label of the equipment according to the basic parameters; wherein the position label comprises position coordinates or a position number;
taking the position of the data processing module or any one key device as an initial node;
the initial node establishes a device topological relation by combining the position labels and the incidence relation among all running devices; the association relationship comprises a linear connection relationship and a wireless connection relationship.
Preferably, the key device is obtained by manual selection or according to an association relationship.
Preferably, the obtaining of the key device according to the association relationship includes:
optionally one device, labeled as a first device;
acquiring the number of devices which have an association relation with first devices;
when the number of the devices is larger than the number threshold, marking the corresponding first device as a key device; wherein the number threshold is an integer greater than 0.
Preferably, the number of critical devices does not exceed half of the total number of devices.
Preferably, the data processing module evaluates the operation state of the device according to the standard parameters, and includes:
extracting basic parameters and state parameters in the standard parameters in real time;
and analyzing the state parameters by combining the basic parameters to obtain a state evaluation result.
Preferably, the data processing module completes data interaction with the supplier according to the inventory data, and includes:
acquiring equipment with abnormal state according to the topological relation of the equipment, and marking the equipment as abnormal equipment;
and acquiring the stock quantity of the model corresponding to the abnormal equipment, and sending a demand document to a supplier when the stock quantity does not meet the requirement.
Preferably, the basic parameters include equipment brand, equipment model, production time, location tag, maintenance plan and maintenance record; the state parameters include an operating voltage and an operating current.
Compared with the prior art, the invention has the beneficial effects that:
1. the invention acquires the standard parameters of the equipment in real time or at regular time through the data acquisition modules, establishes the topological relation of the equipment, evaluates and warns the running state of the equipment according to the relevant parameters of the equipment, and simultaneously keeps the data interaction with suppliers, thereby ensuring the management order of the equipment assets and improving the management efficiency.
2. The position label comprises a position coordinate or a position number, the position label of the equipment is obtained according to basic parameters, the position of the data processing module or any key equipment is taken as an initial node, and the initial node establishes an equipment topological relation by combining the position label and the incidence relation between all running equipment; the topological relation of the equipment in the invention can not only quickly locate the position of the fault equipment, but also carry out integral monitoring on the enterprise equipment assets.
3. When the equipment is abnormal, the inventory quantity of the model corresponding to the abnormal equipment is obtained, and when the inventory quantity does not meet the requirement, the requirement document is sent to a supplier; the invention can ensure the timely replacement of the fault equipment and simultaneously improve the communication efficiency with the supplier through authorization.
Drawings
FIG. 1 is a schematic diagram of the working steps of the present invention.
Detailed Description
The technical solutions of the present invention will be described clearly and completely with reference to the following embodiments, and it should be understood 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.
In the prior art, basic information of equipment assets is obtained, relevant information of the equipment assets is displayed through a webpage version or other versions of visual platforms, and when the equipment assets have faults, relevant personnel are warned; after basic information is acquired in the prior art, only the basic information and other related information of equipment are displayed, the basic information and the operation process of the equipment are not monitored and predicted in real time, and effective solutions cannot be provided when the equipment fails.
The asset management in the invention is used for helping enterprises realize the information management of personal computers, servers, network equipment, various information products and various terminal equipment, and provides full life cycle management from purchase, inventory, monitoring, maintenance and the like; the invention acquires the relevant parameters of the equipment in real time or at regular time, establishes the topological relation of the equipment, evaluates and warns the running state of the equipment according to the relevant parameters of the equipment, and keeps data interaction with a supplier so as to achieve the aim of effectively managing the equipment assets.
Referring to fig. 1, the present application provides a full lifecycle management system based on asset allocation, comprising:
a data acquisition module: the method comprises the steps that standard parameters of equipment are obtained in real time or in a timing mode through intelligent equipment connected with the intelligent equipment, and the standard parameters are sent to a data processing module after data preprocessing is carried out on the standard parameters;
a data processing module: constructing a device topological relation according to the device position; evaluating the running state of the equipment through the standard parameters, updating the topological relation of the equipment according to the state evaluation result, and simultaneously associating personnel for early warning; and completing data interaction with the supplier according to the device topological relation and the inventory data.
The data acquisition module is in communication and/or electrical connection with the data processing module, and at least one data acquisition module is arranged; the data acquisition module is in communication and/or electrical connection with the intelligent equipment, the intelligent equipment mainly comprises various sensors, a camera, an RFID collector and the like, and the intelligent equipment is used for acquiring standard parameters of the equipment.
The standard parameters mentioned in the present application include basic parameters and status parameters. The basic parameters comprise equipment brand, equipment model, production time, position tags, maintenance plans, maintenance records and the like, and can be acquired by scanning the RFID tags on the equipment through the RFID collector; the state parameters comprise working current, working voltage and other data capable of reflecting the working state of the equipment, and are acquired through a voltage sensor, a current sensor and the like.
In the application, standard parameters of equipment are acquired in real time or at regular time; and when the collection is carried out at fixed time, the collection period is set by a worker. The acquisition period can be determined according to the importance of the equipment, specifically, the standard data of the key equipment is acquired in real time, and the standard data of the common equipment (relative to the key equipment) is acquired at regular time, such as once per second and once per minute.
The related personnel in the application specifically refer to the staff who is responsible for maintenance, and when equipment is abnormal, the related personnel should be notified automatically, so that equipment faults are guaranteed to be eliminated in time.
In one embodiment, constructing, by the data processing module, a device topology relationship includes:
acquiring a position label of the equipment according to the basic parameters;
taking the position of the data processing module or any one key device as an initial node;
and the initial node establishes a device topological relation by combining the position label and the incidence relation among all the running devices.
The main purpose of this embodiment is in order to be visual with the connection and the position relation of each equipment, and the staff of being convenient for fixes a position fast and overhauls, reduces because of equipment fault leads to the possibility at work terminal.
The position tag in this embodiment includes a position coordinate or a position number; the position coordinates and the position numbers have different application ranges, the position coordinates are suitable for monitoring equipment assets in a large range, and the position labels are suitable for monitoring the equipment assets in a small range; of course, the two modes of position coordinates and position numbers can also be combined according to actual situations.
To illustrate the applicability of location coordinates and location numbers:
when the enterprise is a certain power grid enterprise, the position coordinates are used as position tags, the position coordinates of the devices distributed in a certain area are obtained, and then the device topological relation can be constructed according to the connection relation among the devices.
When the enterprise is an internet enterprise, the position numbers are used as position labels to obtain position coordinates of the devices distributed in the office building, and then the device topological relation can be constructed according to the connection relation among the devices.
Obviously, the location tag is only used to obtain the location of the device in the whole network and the relationship with other devices, so that the RFID identification technology can be obviously implemented.
The association relationship in this embodiment includes a linear connection relationship and a wireless connection relationship; the linear association relationship means that two devices are connected through an electric wire, a network cable and the like, and the wireless connection relationship means that two devices are connected through a wireless network.
In this embodiment, an initial node needs to be selected, and an equipment topology relationship is established according to the position tag and the association relationship from the initial node; the initial node is selected from key equipment, and the position (similar to a monitoring center) where the data processing module is located is directly used as the initial node.
The key equipment in the embodiment is manually selected or obtained according to the association relationship.
In a specific embodiment, acquiring the key device according to the association relationship includes:
optionally one device, labeled as a first device;
acquiring the number of devices which have an association relation with first devices;
when the number of devices is greater than the number threshold, the corresponding first device is marked as a critical device.
The embodiment determines whether the equipment is the key equipment according to the importance degree of the equipment; and selecting one device optionally, then obtaining the number of devices which are in association relation with the device, and when the number of the devices exceeds a certain threshold value, the number of the devices can be regarded as the first device and is the key device, and then selecting another device from the rest devices optionally until all the key devices which meet the conditions are found out.
It is noted that the number of critical devices cannot be too large, and if the number of critical devices is too large, the critical devices do not have any meaning. Therefore, the number of critical devices cannot exceed half the total number of devices.
The number of the key devices can be limited by a number threshold, and the number of the key devices can be relatively reduced by increasing the number threshold; conversely, decreasing the number threshold can increase the number of critical devices.
In one embodiment, the data processing module evaluates the device operating state according to standard parameters, including:
extracting basic parameters and state parameters in the standard parameters in real time;
and analyzing the state parameters by combining the basic parameters to obtain a state evaluation result.
The acquisition of the equipment evaluation model comprises the following steps:
extracting rated voltage and rated current in the basic parameters, and extracting working current and working voltage in the state parameters; comparing the working current with the rated current, comparing the working power industry with the rated voltage, setting the state evaluation result to be 0 when the working current and the working voltage are both normal, setting the state evaluation result to be 2 when the working current and the working voltage are both abnormal, and otherwise, setting the state evaluation result to be 1.
In other preferred embodiments, the working state of the device may be predicted by combining the previous state parameters of the device with an artificial intelligence model, so as to generate a state evaluation result, and the specific scheme refers to related published patents or papers.
In one embodiment, the data processing module performs data interaction with the supplier based on the inventory data, including:
acquiring equipment with abnormal state according to the topological relation of the equipment, and marking the equipment as abnormal equipment;
and acquiring the stock quantity of the model corresponding to the abnormal equipment, and sending a demand document to a supplier when the stock quantity does not meet the requirement.
The abnormal equipment in the embodiment refers to equipment with faults; when equipment breaks down, the inventory is immediately inquired, qualified demand documents are generated in time, and suppliers can deliver goods in time according to the demand documents, so that not only can the fault equipment be timely replaced, but also enough inventory can be guaranteed.
The working principle of the invention is as follows:
the data acquisition module acquires standard parameters of the equipment in real time or at regular time through the intelligent equipment connected with the data acquisition module, and sends the standard parameters to the data processing module after data preprocessing.
The data processing module constructs a device topological relation according to the device position; evaluating the running state of the equipment through the standard parameters, updating the topological relation of the equipment according to the state evaluation result, and simultaneously associating personnel for early warning; and finishing data interaction with the supplier according to the topological relation of the equipment and the inventory data.
Although the present invention has been described in detail with reference to the preferred embodiments, it will be understood by those skilled in the art that various changes may be made and equivalents may be substituted for elements thereof without departing from the spirit and scope of the present invention.
Claims (8)
1. A full lifecycle management system based on asset configuration, comprising:
a data acquisition module: the method comprises the steps that standard parameters of equipment are obtained in real time or in a timing mode through intelligent equipment connected with the intelligent equipment, and the standard parameters are sent to a data processing module after data preprocessing is carried out on the standard parameters; the standard parameters comprise basic parameters and state parameters;
a data processing module: constructing a device topological relation according to the device position; evaluating the running state of the equipment through the standard parameters, updating the topological relation of the equipment according to the state evaluation result, and simultaneously associating personnel for early warning; and
and finishing data interaction with the supplier according to the topological relation of the equipment and the inventory data.
2. The asset allocation-based full-lifecycle management system according to claim 1, wherein the data processing module is in communication and/or electrical connection with a plurality of data acquisition modules; the intelligent device comprises a sensor, a camera and an RFID collector, and the collection time of the intelligent device is manually set.
3. The asset configuration-based full lifecycle management system according to claim 1, wherein building, by the data processing module, device topology relationships comprises:
acquiring a position label of the equipment according to the basic parameters; wherein the position label comprises position coordinates or a position number;
taking the position of the data processing module or any one key device as an initial node;
the initial node establishes a device topological relation by combining the position labels and the incidence relation among all running devices; the association relationship comprises a linear connection relationship and a wireless connection relationship.
4. The asset allocation-based full lifecycle management system according to claim 3, wherein the key devices are obtained by manual selection or association.
5. The asset allocation-based full lifecycle management system according to claim 4, wherein acquiring key devices according to the association relationship comprises:
optionally one device, labeled as a first device;
acquiring the number of devices which have an association relation with first devices;
when the number of the devices is larger than the number threshold, marking the corresponding first device as a key device; wherein the number threshold is an integer greater than 0.
6. The asset allocation-based full lifecycle management system according to claim 5, wherein the number of critical devices does not exceed half of the total number of devices.
7. The asset allocation-based full-lifecycle management system according to claim 1, wherein the data processing module evaluates the device operating status according to standard parameters, comprising:
extracting basic parameters and state parameters in the standard parameters in real time;
and analyzing the state parameters by combining the basic parameters to obtain a state evaluation result.
8. The asset allocation-based full-lifecycle management system according to claim 1, wherein the data processing module performs data interaction with suppliers according to inventory data, comprising:
acquiring equipment with abnormal state according to the topological relation of the equipment, and marking the equipment as abnormal equipment;
and acquiring the stock quantity of the model corresponding to the abnormal equipment, and sending a demand document to a supplier when the stock quantity does not meet the requirement.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111655402.1A CN114202242A (en) | 2021-12-30 | 2021-12-30 | Full life cycle management system based on asset configuration |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111655402.1A CN114202242A (en) | 2021-12-30 | 2021-12-30 | Full life cycle management system based on asset configuration |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN114202242A true CN114202242A (en) | 2022-03-18 |
Family
ID=80657507
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111655402.1A Pending CN114202242A (en) | 2021-12-30 | 2021-12-30 | Full life cycle management system based on asset configuration |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN114202242A (en) |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130091258A1 (en) * | 2011-10-07 | 2013-04-11 | Cisco Technology, Inc. | Communication network topology management based on an associated electric grid topology |
| CN103308805A (en) * | 2013-06-18 | 2013-09-18 | 重庆市电力公司万州供电局 | Overhauling method and overhauling system for state of distribution transformer |
| CN110247725A (en) * | 2019-06-24 | 2019-09-17 | 国网河北省电力有限公司经济技术研究院 | The line fault investigation method, apparatus and terminal device of OTN network |
| WO2020125716A1 (en) * | 2018-12-21 | 2020-06-25 | 中兴通讯股份有限公司 | Method for realizing network optimization and related device |
| CN111650478A (en) * | 2020-07-15 | 2020-09-11 | 广东电网有限责任公司 | Power distribution network fault diagnosis and positioning method and gateway |
| CN112528448A (en) * | 2021-01-01 | 2021-03-19 | 谭世克 | Topology and data management maintenance system |
| CN112734207A (en) * | 2020-12-31 | 2021-04-30 | 合肥科大智能机器人技术有限公司 | Asset operation and maintenance management method and system |
-
2021
- 2021-12-30 CN CN202111655402.1A patent/CN114202242A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130091258A1 (en) * | 2011-10-07 | 2013-04-11 | Cisco Technology, Inc. | Communication network topology management based on an associated electric grid topology |
| CN103308805A (en) * | 2013-06-18 | 2013-09-18 | 重庆市电力公司万州供电局 | Overhauling method and overhauling system for state of distribution transformer |
| WO2020125716A1 (en) * | 2018-12-21 | 2020-06-25 | 中兴通讯股份有限公司 | Method for realizing network optimization and related device |
| CN110247725A (en) * | 2019-06-24 | 2019-09-17 | 国网河北省电力有限公司经济技术研究院 | The line fault investigation method, apparatus and terminal device of OTN network |
| CN111650478A (en) * | 2020-07-15 | 2020-09-11 | 广东电网有限责任公司 | Power distribution network fault diagnosis and positioning method and gateway |
| CN112734207A (en) * | 2020-12-31 | 2021-04-30 | 合肥科大智能机器人技术有限公司 | Asset operation and maintenance management method and system |
| CN112528448A (en) * | 2021-01-01 | 2021-03-19 | 谭世克 | Topology and data management maintenance system |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN202093536U (en) | Intelligent routing inspection system for substation equipment | |
| CN106296077A (en) | A kind of Power Plant Equipment storage management method based on RFID of Internet-of-things technology and system | |
| CN109086895A (en) | A kind of operation management system and method for heating ventilation air-conditioning system | |
| CN106874974A (en) | A kind of Work tool Mobile solution implementation method based on technology of Internet of things | |
| CN105809217A (en) | Safety tool and instrument intelligent management method based on working field remote monitoring system | |
| CN203250333U (en) | Asset management system based on RFID technology | |
| CN110991979B (en) | Attendance management method, device and equipment for intelligent building site and computer storage medium | |
| CN109615090A (en) | Equipment maintenance intelligence control system and method | |
| CN112734207A (en) | Asset operation and maintenance management method and system | |
| CN105160477A (en) | RFID-based geographical position simulation positioning method and asset equipment management system using the method | |
| CN111756581A (en) | Power distribution network operation fault processing method and device, computer equipment and storage medium | |
| CN203930885U (en) | A kind of check man's utensil automatically use and give back management system | |
| CN112508486A (en) | Secondary spare part inventory management system for power system enterprise | |
| CN111311133A (en) | Monitoring system applied to power grid production equipment | |
| CN109978102A (en) | Production information management system and method suitable for electrical complete equipment | |
| CN109670707A (en) | A kind of management method of automatic vending machine, apparatus and system | |
| CN206133661U (en) | Equipment warehouse of thermal power plant stores up management system based on thing networking RFID technique | |
| CN111709597B (en) | Power grid production domain operation monitoring system | |
| CN106919872A (en) | A kind of Power Line Inspection System based on RFID technique | |
| CN114202242A (en) | Full life cycle management system based on asset configuration | |
| CN107832962A (en) | A kind of enterprise asset management and its management method | |
| Wang et al. | A RFID-enabled MES for real-time pharmaceutical manufacturing supervision | |
| CN103473655A (en) | Country area company production and operation integrated platform | |
| CN204288239U (en) | Tear zero medicine box medicine prison code automated collection systems open | |
| CN112288389A (en) | SCADA system based production control method, program, device and medium |
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 |