CN117541223A - Electromechanical device inspection data management system and method thereof - Google Patents
Electromechanical device inspection data management system and method thereof Download PDFInfo
- Publication number
- CN117541223A CN117541223A CN202311486298.7A CN202311486298A CN117541223A CN 117541223 A CN117541223 A CN 117541223A CN 202311486298 A CN202311486298 A CN 202311486298A CN 117541223 A CN117541223 A CN 117541223A
- Authority
- CN
- China
- Prior art keywords
- data
- module
- electromechanical device
- device inspection
- data management
- 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
- 238000013523 data management Methods 0.000 title claims abstract description 46
- 238000007689 inspection Methods 0.000 title claims abstract description 33
- 238000000034 method Methods 0.000 title claims abstract description 16
- 238000007405 data analysis Methods 0.000 claims abstract description 35
- 238000012544 monitoring process Methods 0.000 claims abstract description 25
- 238000007726 management method Methods 0.000 claims abstract description 21
- 238000012545 processing Methods 0.000 claims abstract description 15
- 238000003860 storage Methods 0.000 claims abstract description 7
- 238000012423 maintenance Methods 0.000 claims description 26
- 238000010801 machine learning Methods 0.000 claims description 15
- 238000004891 communication Methods 0.000 claims description 11
- 230000005856 abnormality Effects 0.000 claims description 7
- 238000004458 analytical method Methods 0.000 claims description 7
- 238000012549 training Methods 0.000 claims description 7
- 230000036541 health Effects 0.000 claims description 6
- 230000006870 function Effects 0.000 claims description 5
- 230000008569 process Effects 0.000 claims description 5
- 238000013500 data storage Methods 0.000 claims description 3
- 238000001514 detection method Methods 0.000 claims description 3
- 238000005457 optimization Methods 0.000 claims description 3
- 230000008439 repair process Effects 0.000 claims description 3
- 238000005516 engineering process Methods 0.000 abstract description 5
- 238000005065 mining Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 9
- 238000004519 manufacturing process Methods 0.000 description 5
- 230000009471 action Effects 0.000 description 3
- 230000009286 beneficial effect Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000003449 preventive effect Effects 0.000 description 2
- 238000012795 verification Methods 0.000 description 2
- 230000004075 alteration Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000010223 real-time analysis Methods 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- 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
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
-
- 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
-
- G—PHYSICS
- G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
- G16Y—INFORMATION AND COMMUNICATION TECHNOLOGY SPECIALLY ADAPTED FOR THE INTERNET OF THINGS [IoT]
- G16Y40/00—IoT characterised by the purpose of the information processing
- G16Y40/10—Detection; Monitoring
Abstract
The invention discloses an electromechanical device inspection data management system and a method thereof, wherein the system comprises a data processing system, and the data processing system is respectively connected with a data acquisition module, a data management module, a data analysis module, an intelligent decision module, a sharing cooperation module, a permission management module, a monitoring alarm module, a user interface module and a system expansion module. According to the invention, automatic collection and uploading of data are realized by introducing the sensor and the automatic equipment of the Internet of things technology, human errors are reduced, the accuracy and the integrity of the data are improved, the collected data are digitally stored, a centralized database or cloud platform is established, and the centralized management of the data is realized, so that the storage, the retrieval and the backup of the data can be convenient, meanwhile, the data analysis and the mining are also convenient, and the data analysis technology is utilized to analyze the collected data and mine potential problems and rules.
Description
Technical Field
The invention relates to the field of electromechanical devices, in particular to an electromechanical device inspection data management system and an electromechanical device inspection data management method.
Background
The electromechanical device inspection data management system is an information technology system for monitoring, maintaining and managing industrial electromechanical devices. The system is mainly used for collecting, analyzing and processing data related to the running state, maintenance history and performance of equipment so as to improve the production efficiency, improve the equipment reliability and reduce the maintenance cost, and the electromechanical device inspection data management system is beneficial to improving the production efficiency, prolonging the service life of the equipment, reducing the maintenance cost and improving the reliability of the production process in the industrial field. They find wide application in manufacturing, energy, mining, chemical and other industrial fields.
Conventional electromechanical device inspection data management systems typically suffer from a number of drawbacks, which may include:
1. conventional systems typically rely on manual operations and paper recordings, which are prone to errors, data loss and inefficiency, and human error and inaccurate data can affect the safety and reliability of the device.
2. Data in conventional systems is typically stored in paper or electronic forms, which makes data analysis and report generation difficult, requiring a significant amount of time and effort to extract useful information from a large number of paper records or electronic forms.
3. Tracking the source of the problem and monitoring system performance is often difficult because the data records may be incomplete and difficult to trace to a particular point in time or device state.
4. Data in a traditional system can be shared only in a local scope, so that information sharing among departments or areas is difficult, information islands can be caused, and communication and cooperation among different departments are affected.
Disclosure of Invention
The present invention is directed to an electromechanical device inspection data management system and a method thereof, so as to solve the problems set forth in the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
the system comprises a data processing system, wherein the data processing system is respectively connected with a data acquisition module, a data management module, a data analysis module, an intelligent decision module, a sharing collaboration module, a permission management module, a monitoring alarm module, a user interface module and a system expansion module.
Further, the data acquisition module comprises a temperature sensor, a humidity sensor, a pressure sensor and a vibration sensor, wherein the temperature sensor, the humidity sensor, the pressure sensor and the vibration sensor are connected with the data acquisition module in a wired and wireless mode respectively.
Further, the data management module comprises a database server and a cloud platform, and the database server and the cloud platform are connected to the data acquisition module through a network.
Further, the data analysis module comprises a data analysis engine and a data training engine, and the data analysis engine and the data training engine are connected with the database server and the cloud platform.
Further, the intelligent decision module comprises an organic machine learning model and a data prediction unit, wherein the machine learning model is connected with the data analysis engine.
Further, the shared collaboration module comprises a collaboration platform and remote communication, and the collaboration platform is remotely connected with the user interface module through the remote communication.
Further, the rights management module comprises a rights database and a system authentication unit, and the system authentication unit is remotely connected with the user interface module.
Further, the monitoring alarm module comprises monitoring software and an alarm unit, and the monitoring software and the alarm unit are connected with the data processing system.
Further, the user interface module comprises a front end interface and a report generating module, and the system expanding module is connected with an API interface.
A method of using an electromechanical device inspection data management system, comprising the steps of:
step S1, logging in a system: opening a user interface of the system and logging in by using an effective user name and password;
step S2, data acquisition: an automatic data acquisition module is started in the system, so that each sensor is ensured to work normally and acquire equipment data;
step S3, data management: the collected data are sent to a database server and a cloud platform for storage and management, so that the data storage module can be ensured to normally operate, and the data can be correctly stored and classified;
step S4, data analysis: by using a data analysis and report module, the system can provide functions of health condition assessment, abnormality detection, predictive analysis and the like of the equipment by selecting corresponding equipment data for analysis and report generation and utilizing a predefined algorithm or a custom model;
step S5, intelligent decision: acquiring key information from the generated report, and making a decision by using a maintenance suggestion and a decision support tool provided by an intelligent decision support module, wherein the module can provide guidance for equipment maintenance and optimization according to a prediction result of a machine learning model;
step S6, sharing and collaboration: communicating and sharing data with related team members through a collaboration platform, wherein the team members can communicate through an instant messaging tool on the platform and share reports, data and files to support team collaboration and decision making processes;
step S7, user authority management: the system manager is responsible for managing the user authority, ensuring that only authorized users can access the system, and determining the access authority level according to the roles and responsibilities of the authorized users;
step S8, monitoring and alarming: the monitoring system monitoring and alarming module ensures the normal operation of the system, monitors the states of all components of the system in real time, and timely sends alarming notification to related personnel when abnormality or fault is found so as to timely take measures to repair the problem;
step S9, system expansion: the system is extended and the API interface can be used to integrate with other systems, devices or applications to obtain more data sources or to implement wider functionality.
Compared with the prior art, the invention has the beneficial effects that:
1. according to the invention, automatic acquisition and uploading of data are realized by introducing a sensor and an automatic device of the Internet of things technology, human errors are reduced, the accuracy and the integrity of the data are improved, the acquired data are digitally stored, a centralized database or cloud platform is established, and the centralized management of the data is realized, so that the storage, the retrieval and the backup of the data can be convenient, meanwhile, the data analysis and the mining are also convenient, the acquired data are analyzed by utilizing a data analysis technology, the potential problems and rules are mined, and meanwhile, a prediction model is established by using a machine learning algorithm, the failure risk of the equipment is predicted, maintenance measures are taken in advance, and the overlong downtime of the equipment is avoided;
2. the data acquisition module and the system monitoring module can continuously monitor the health condition of equipment, identify early fault signs so as to take maintenance measures in time, prolong the service life of the equipment, and the intelligent decision support module predicts the future health condition of the equipment by using a machine learning algorithm so as to identify potential problems in advance and take preventive maintenance measures, thereby reducing the equipment fault rate, and maintenance personnel can quickly respond to the equipment problems according to the alarm information of the system monitoring and alarming module, thereby reducing the downtime caused by faults and improving the reliability of the equipment;
3. the preventive maintenance and the timely maintenance in the invention can reduce the need of emergency maintenance and reduce the maintenance cost, because the maintenance team can plan and execute maintenance tasks more effectively, through data analysis and intelligent decision support, the maintenance team can optimize the part stock and reduce unnecessary spare part stock, thereby reducing the stock cost, the predictive maintenance can reduce unnecessary maintenance frequency, reduce the interference and the downtime of maintenance work and reduce the production loss during maintenance.
Drawings
FIG. 1 is a schematic diagram of an electromechanical device inspection data management system according to the present invention;
FIG. 2 is a schematic diagram of a data acquisition module of an electromechanical device inspection data management system according to the present invention;
FIG. 3 is a schematic diagram of a data management module of an inspection data management system for an electromechanical device according to the present invention;
FIG. 4 is a schematic diagram of a data analysis module of an inspection data management system for an electromechanical device according to the present invention;
FIG. 5 is a schematic diagram of an intelligent decision module of an electromechanical device inspection data management system according to the present invention;
FIG. 6 is a schematic diagram of a shared collaboration module of an electromechanical device inspection data management system of the present invention;
FIG. 7 is a schematic view of a rights management module of an electromechanical device inspection data management system according to the present invention;
FIG. 8 is a schematic diagram of a monitoring alarm module of an electromechanical device inspection data management system according to the present invention;
FIG. 9 is a schematic diagram of a user interface module of an electromechanical device inspection data management system according to the present invention;
fig. 10 is a schematic diagram of a system expansion module of the inspection data management system of the electromechanical device according to the present invention.
In the figure: 1. a data processing system; 2. a data acquisition module; 201. a temperature sensor; 202. a humidity sensor; 203. a pressure sensor; 204. a vibration sensor; 3. a data management module; 301. a database server; 302. a cloud platform; 4. a data analysis module; 401. a data analysis engine; 402. a data training engine; 5. an intelligent decision module; 501. a machine learning model; 502. a data prediction unit; 6. sharing a collaboration module; 601. a collaboration platform; 602. remote communication; 7. a rights management module; 701. a rights database; 702. a system authentication unit; 8. a monitoring alarm module; 801. monitoring software; 802. an alarm unit; 9. a user interface module; 901. a front end interface; 902. a report generation module; 10. a system expansion module; 11. API interface.
Detailed Description
The following description of the embodiments of the present invention 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 invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
As shown in fig. 1, the present invention provides a technical solution:
the system comprises a data processing system 1, wherein the data processing system 1 is respectively connected with a data acquisition module 2, a data management module 3, a data analysis module 4, an intelligent decision module 5, a sharing collaboration module 6, a permission management module 7, a monitoring alarm module 8, a user interface module 9 and a system expansion module 10;
in this embodiment, the data acquisition module 2, the data management module 3, the data analysis module 4, the intelligent decision module 5, the sharing collaboration module 6, the authority management module 7, the monitoring alarm module 8, the user interface module 9 and the system expansion module 10 work cooperatively to establish a comprehensive electromechanical device inspection data management system, realize the functions of data acquisition, storage, analysis, decision support, collaboration, authority management, monitoring and user interface, and have expandability at the same time to adapt to the continuously changing requirements.
As shown in fig. 2, the data acquisition module 2 includes a temperature sensor 201, a humidity sensor 202, a pressure sensor 203 and a vibration sensor 204, and the temperature sensor 201, the humidity sensor 202, the pressure sensor 203 and the vibration sensor 204 are connected with the data acquisition module 2 in a wired and wireless manner respectively;
in this embodiment, the data acquisition module 2 relies on a variety of sensor units, including temperature, humidity, pressure and vibration sensors, which monitor various parameters of the electromechanical device, which are connected to the data acquisition device by wired or wireless means for transmitting real-time data to the data acquisition device in digital or analog signals.
As shown in fig. 3, the data management module 3 includes a database server 301 and a cloud platform 302, where the database server 301 and the cloud platform 302 are connected to the data acquisition module 2 through a network;
in this embodiment, the data management module 3 uses the database server 301 or the cloud platform 302 to store and manage the inspection data, and the data acquisition device is connected to the database server 301 or the cloud platform 302 through a network, and stores the acquired data therein for storage, indexing, backup and security management of the data to ensure reliability and availability of the data.
As shown in fig. 4, the data analysis module 4 includes a data analysis engine 401 and a data training engine 402, where the data analysis engine 401 and the data training engine 402 are connected to the database server 301 and the cloud platform 302;
in this embodiment, the core of the data analysis module 4 is a data analysis engine 401, which is connected to the database server 301 and the cloud platform 302, acquires data and performs real-time analysis, analyzes the data using statistical and machine learning algorithms, discovers potential problems or trends, and generates a visual report for identifying device problems and performance improvement opportunities in time.
As shown in fig. 5, the intelligent decision module 5 includes an organic machine learning model 501 and a data prediction unit 502, wherein the machine learning model 501 is connected with the data analysis engine 401;
in this embodiment, the intelligent decision module 5 relies on a machine learning model 501, the machine learning model 501 is trained using historical data to predict the health of the device, is connected to the data analysis engine 401, performs model reasoning and generates maintenance advice based on real-time data input to assist in operation and maintenance decisions.
As shown in fig. 6, the shared collaboration module 6 includes a collaboration platform 601 and a remote communication 602, and the collaboration platform 601 is remotely connected to the user interface module 9 through the remote communication 602;
in this embodiment, the collaboration platform 601 in the sharing collaboration module 6 allows users to share data, files, and real-time communications on the internet, including user registration, login, creation of collaboration spaces, sharing content, and real-time communications to facilitate collaboration and information sharing between users.
As shown in fig. 7, the rights management module 7 includes a rights database 701 and a system authentication unit 702, and the system authentication unit 702 is remotely connected to the user interface module 9;
in this embodiment, the rights database 701 in the rights management module 7 is used to store user information and its rights level to ensure that only authorized users can view and manipulate data, including user identity verification, rights verification, and rights level assignment.
As shown in fig. 8, the monitoring alarm module 8 includes a monitoring software 801 and an alarm unit 802, and the monitoring software 801 and the alarm unit 802 are connected with the data processing system 1;
in this embodiment, the monitoring software 801 in the monitoring alarm module 8 is used to monitor the status of each component of the system in real time, connect to each component of the system, collect status information, and when abnormality is found, trigger the alarm unit 802 to alarm and notify related personnel so that they can take appropriate measures.
As shown in fig. 9 and 10, the user interface module 9 includes a front end interface 901 and a report generating module 902, and the system expansion module 10 is connected with an API interface 11;
in this embodiment, the front end interface 901 is a channel for a user to interact with the system, through which the user can access the system functions, view data, generate reports, and the like, including user interface design, data presentation, and user input processing, and the API interface 11 allows the system to integrate with external systems and devices, and exchange and cooperate with external data sources and third party applications through a network or other communication means, so as to improve the expandability and interoperability of the system, including API design, data transmission, and protocol compatibility.
A method of using an electromechanical device inspection data management system, comprising the steps of:
step S1, logging in a system: opening a user interface of the system and logging in by using an effective user name and password;
step S2, data acquisition: an automatic data acquisition module is started in the system, so that each sensor is ensured to work normally and acquire equipment data;
step S3, data management: the collected data are sent to a database server and a cloud platform for storage and management, so that the data storage module can be ensured to normally operate, and the data can be correctly stored and classified;
step S4, data analysis: by using a data analysis and report module, the system can provide functions of health condition assessment, abnormality detection, predictive analysis and the like of the equipment by selecting corresponding equipment data for analysis and report generation and utilizing a predefined algorithm or a custom model;
step S5, intelligent decision: acquiring key information from the generated report, and making a decision by using a maintenance suggestion and a decision support tool provided by an intelligent decision support module, wherein the module can provide guidance for equipment maintenance and optimization according to a prediction result of a machine learning model;
step S6, sharing and collaboration: communicating and sharing data with related team members through a collaboration platform, wherein the team members can communicate through an instant messaging tool on the platform and share reports, data and files to support team collaboration and decision making processes;
step S7, user authority management: the system manager is responsible for managing the user authority, ensuring that only authorized users can access the system, and determining the access authority level according to the roles and responsibilities of the authorized users;
step S8, monitoring and alarming: the monitoring system monitoring and alarming module ensures the normal operation of the system, monitors the states of all components of the system in real time, and timely sends alarming notification to related personnel when abnormality or fault is found so as to timely take measures to repair the problem;
step S9, system expansion: the system is extended and the API interface can be used to integrate with other systems, devices or applications to obtain more data sources or to implement wider functionality.
It is noted that relational terms such as first and second, and the like are 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. Moreover, 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.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. An electromechanical device inspection data management system, characterized in that: the intelligent data processing system comprises a data processing system (1), wherein the data processing system (1) is respectively connected with a data acquisition module (2), a data management module (3), a data analysis module (4), an intelligent decision module (5), a sharing cooperation module (6), a permission management module (7), a monitoring alarm module (8), a user interface module (9) and a system expansion module (10).
2. An electromechanical device inspection data management system according to claim 1, wherein: the data acquisition module (2) comprises a temperature sensor (201), a humidity sensor (202), a pressure sensor (203) and a vibration sensor (204), wherein the temperature sensor (201), the humidity sensor (202), the pressure sensor (203) and the vibration sensor (204) are connected with the data acquisition module (2) in a wired and wireless mode respectively.
3. An electromechanical device inspection data management system according to claim 1, wherein: the data management module (3) comprises a database server (301) and a cloud platform (302), and the database server (301) and the cloud platform (302) are connected to the data acquisition module (2) through a network.
4. An electromechanical device inspection data management system according to claim 1, wherein: the data analysis module (4) comprises a data analysis engine (401) and a data training engine (402), and the data analysis engine (401) and the data training engine (402) are connected with the database server (301) and the cloud platform (302).
5. An electromechanical device inspection data management system according to claim 1, wherein: the intelligent decision module (5) comprises an organic machine learning model (501) and a data prediction unit (502), wherein the machine learning model (501) is connected with the data analysis engine (401).
6. An electromechanical device inspection data management system according to claim 1, wherein: the shared collaboration module (6) comprises a collaboration platform (601) and remote communication (602), and the collaboration platform (601) is remotely connected with the user interface module (9) through the remote communication (602).
7. An electromechanical device inspection data management system according to claim 1, wherein: the rights management module (7) comprises a rights database (701) and a system authentication unit (702), wherein the system authentication unit (702) is remotely connected with the user interface module (9).
8. An electromechanical device inspection data management system according to claim 1, wherein: the monitoring alarm module (8) comprises monitoring software (801) and an alarm unit (802), and the monitoring software (801) and the alarm unit (802) are connected with the data processing system (1).
9. An electromechanical device inspection data management system according to claim 1, wherein: the user interface module (9) comprises a front end interface (901) and a report generation module (902), and the system expansion module (10) is connected with an API interface (11).
10. A method of using an electromechanical device inspection data management system according to claims 1-9, wherein: the method comprises the following steps:
step S1, logging in a system: opening a user interface of the system and logging in by using an effective user name and password;
step S2, data acquisition: an automatic data acquisition module is started in the system, so that each sensor is ensured to work normally and acquire equipment data;
step S3, data management: the collected data are sent to a database server and a cloud platform for storage and management, so that the data storage module can be ensured to normally operate, and the data can be correctly stored and classified;
step S4, data analysis: by using a data analysis and report module, the system can provide functions of health condition assessment, abnormality detection, predictive analysis and the like of the equipment by selecting corresponding equipment data for analysis and report generation and utilizing a predefined algorithm or a custom model;
step S5, intelligent decision: acquiring key information from the generated report, and making a decision by using a maintenance suggestion and a decision support tool provided by an intelligent decision support module, wherein the module can provide guidance for equipment maintenance and optimization according to a prediction result of a machine learning model;
step S6, sharing and collaboration: communicating and sharing data with related team members through a collaboration platform, wherein the team members can communicate through an instant messaging tool on the platform and share reports, data and files to support team collaboration and decision making processes;
step S7, user authority management: the system manager is responsible for managing the user authority, ensuring that only authorized users can access the system, and determining the access authority level according to the roles and responsibilities of the authorized users;
step S8, monitoring and alarming: the monitoring system monitoring and alarming module ensures the normal operation of the system, monitors the states of all components of the system in real time, and timely sends alarming notification to related personnel when abnormality or fault is found so as to timely take measures to repair the problem;
step S9, system expansion: the system is extended and the API interface can be used to integrate with other systems, devices or applications to obtain more data sources or to implement wider functionality.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311486298.7A CN117541223A (en) | 2023-11-09 | 2023-11-09 | Electromechanical device inspection data management system and method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311486298.7A CN117541223A (en) | 2023-11-09 | 2023-11-09 | Electromechanical device inspection data management system and method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117541223A true CN117541223A (en) | 2024-02-09 |
Family
ID=89793101
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202311486298.7A Pending CN117541223A (en) | 2023-11-09 | 2023-11-09 | Electromechanical device inspection data management system and method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117541223A (en) |
-
2023
- 2023-11-09 CN CN202311486298.7A patent/CN117541223A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113112086B (en) | Intelligent production system based on edge calculation and identification analysis | |
| US10902368B2 (en) | Intelligent decision synchronization in real time for both discrete and continuous process industries | |
| Vlasov et al. | Smart management of technologies: predictive maintenance of industrial equipment using wireless sensor networks | |
| CN104142663B (en) | Industrial equipment and system in cloud platform are proved | |
| CN100465842C (en) | Data analysis system and method | |
| KR101730451B1 (en) | Flexible manufacturing system and method using wireless communication network | |
| KR101825881B1 (en) | Method of managing a manufacturing process and system using the same | |
| CN110971666A (en) | Internet of things management system and communication method thereof | |
| CN109507924B (en) | Remote monitoring system for oil field operation equipment | |
| CN116862442A (en) | Intelligent equipment management method and system based on big data analysis | |
| CN116720752A (en) | Assembled building quality information supervision system based on big data | |
| Groba et al. | Architecture of a predictive maintenance framework | |
| KR20190106369A (en) | Programmable Logic Controller pattern analysis system for improving lifetime and productivity of factory automation facilities, and method thereof | |
| KR101278428B1 (en) | Real-time collaborated enterprise asset management system based on condition-based maintenance and method thereof | |
| CN117055502A (en) | Intelligent control system based on Internet of things and big data analysis | |
| Aksa et al. | Developing a web platform for the management of the predictive maintenance in smart factories | |
| CN116882426A (en) | Electromechanical equipment management platform based on identification analysis | |
| CN117371952A (en) | Multi-project collaborative management system | |
| Galar et al. | Fusion of maintenance and control data: a need for the process | |
| KR20060057131A (en) | Intelligent plant information system | |
| Baglee et al. | The need for Big Data collection and analyses to support the development of an advanced maintenance strategy | |
| KR20220122922A (en) | Data Logger System based on Artificial Intelligence | |
| CN117172751A (en) | Construction method of intelligent operation and maintenance information analysis model | |
| CN117541223A (en) | Electromechanical device inspection data management system and method thereof | |
| CN116506278A (en) | Abnormal monitoring platform based on zabbix |
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 |