CN111105046A - Equipment health management system of wind generating set - Google Patents
Equipment health management system of wind generating set Download PDFInfo
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- CN111105046A CN111105046A CN201811249982.2A CN201811249982A CN111105046A CN 111105046 A CN111105046 A CN 111105046A CN 201811249982 A CN201811249982 A CN 201811249982A CN 111105046 A CN111105046 A CN 111105046A
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- 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
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- 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
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E40/00—Technologies for an efficient electrical power generation, transmission or distribution
- Y02E40/70—Smart grids as climate change mitigation technology in the energy generation sector
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Abstract
The invention provides an equipment health management system of a wind generating set, which comprises: the data acquisition layer is configured to acquire original data required for equipment health management; the data operation layer is configured to perform data processing on the acquired original data to obtain early warning data and fault diagnosis data for performing equipment health management on the wind generating set; the data scheduling layer is configured to schedule and distribute the early warning data and the fault diagnosis data obtained by the data operation layer to at least one target database; and the application layer is configured to acquire early warning data and fault diagnosis data from the at least one target database and visually display the early warning data and the fault diagnosis data to a user. The invention not only reduces the equipment consumption of the wind generating set, optimizes the operation and maintenance strategy on site, but also realizes the change from passive post-fault maintenance to active preventive maintenance.
Description
Technical Field
The invention relates to the technical field of wind power generation, in particular to an equipment health management system of a wind generating set.
Background
Under the drive of the policy of the state for vigorously developing wind power, manufacturers of wind generating sets rapidly introduce foreign technologies, and the rapid development of the whole manufacturing industry of the wind generating sets is promoted. However, in maintenance and management of equipment of the wind turbine generator system, problems occur correspondingly, for example, the equipment of the wind turbine generator system frequently fails, so that the maintenance pressure is high, and for example, the maintenance work caused by the fact that the equipment maintenance work is more than 70m in height has a great potential safety hazard. Therefore, it is very important to perform comprehensive health management on the operation and maintenance of the wind turbine generator system.
In the prior art, the conventional SCADA (supervisory control and data acquisition) system and the online state detection system are used for monitoring, managing and maintaining the equipment respectively and independently in the management of the operation and the maintenance of the wind generating set, and the data source receiving is relatively less. In addition, because of different equipment of each wind generating set, the software involved in monitoring, managing and maintaining the equipment in the SCADA system and the online state detection system are respectively independent, so that the equipment is not convenient to manage uniformly, and the cost is high. The operation and maintenance of daily wind generating sets are mostly data after equipment failure are analyzed to find out failure reasons and take corresponding measures to carry out equipment maintenance, and failure early warning and vibration monitoring can not be carried out in advance.
Disclosure of Invention
The invention provides an equipment health management system of a wind generating set, aiming at the defects in the prior art.
One aspect of the present invention provides an equipment health management system of a wind turbine generator system, the system including: the data acquisition layer is configured to acquire original data required for equipment health management; the data operation layer is configured to perform data processing on the acquired original data to obtain early warning data and fault diagnosis data for performing equipment health management on the wind generating set; the data scheduling layer is configured to schedule and distribute the early warning data and the fault diagnosis data obtained by the data operation layer to at least one target database; and the application layer is configured to acquire early warning data and fault diagnosis data from the at least one target database and visually display the early warning data and the fault diagnosis data to a user.
Preferably, the data scheduling layer is configured to: receiving the early warning data and the fault diagnosis data, and scheduling and distributing the received early warning data and the received fault diagnosis data to the at least one target database, wherein the at least one target database comprises at least one of an equipment health management database, an asset management system database, and a lifecycle management system database.
Preferably, the data scheduling layer is further configured to: and receiving feedback information data processed by the field work order of the at least one target database, and scheduling and distributing the feedback information data.
Preferably, the system comprises two modes of independent operation and subsystem operation, wherein in the independent operation mode, the application layer provides a function page configured for data entry to support the creation of the user-defined authority, and in the subsystem operation mode, the application layer provides a specific authority setting configured for timing synchronization in the main system to visually display the user.
Preferably, the main system is a centralized monitoring service system, and when the equipment health management system is integrated in the centralized monitoring service system as a subsystem, the system operates as follows: and calling a login interface of the equipment health management system in the centralized monitoring service system, verifying login information through the login verification interface of the equipment health management system, if the verification is successful, returning Token information of the equipment health management system, operating an equipment health management system menu according to the returned Token information, and if the verification is failed, returning error information to the centralized monitoring service system and displaying re-login request information.
Preferably, the raw data includes equipment real-time data acquired from a large data center and equipment failure data acquired from a SCADA system.
Preferably, the data operation layer is configured to include: the early warning operation unit is used for carrying out data early warning processing on the acquired real-time data of the equipment to obtain early warning data, wherein the early warning data comprises at least one of vibration monitoring data, health evaluation data and index statistical data; and the fault diagnosis unit analyzes and matches the acquired equipment fault data to obtain fault diagnosis data, wherein the fault diagnosis data comprises at least one of fault component data, fault category data, fault maintenance data and service data.
Preferably, the early warning operation unit is further configured to perform at least one of work order management, snapshot management, operation scheduling, slave node management, task reception, data processing, data storage, cluster management, task distribution, and log management, and the fault diagnosis unit is further configured to perform at least one of data analysis, online diagnosis, offline diagnosis, task monitoring, scenario management, algorithm configuration, and document management.
Preferably, the data acquisition layer is further configured to: and acquiring online state monitoring data from an online state monitoring system, and transmitting the online state monitoring data to the equipment health management database through forward isolation equipment for storage.
Preferably, the application layer is further configured to obtain online status monitoring data from the device health management database and visually present the online status monitoring data to a user.
Preferably, the data operation layer and the data scheduling layer are deployed in a cloud server.
According to the invention, the equipment of the wind generating set is subjected to early warning service, fault diagnosis service and vibration monitoring through the large data center data so as to comprehensively manage the equipment health, so that the equipment consumption of the wind generating set is reduced, the operation and maintenance strategy on site is optimized, and the transition from passive fault post-maintenance to active preventive maintenance is realized.
Drawings
The above features and other objects, features and advantages of the present invention will become more apparent from the following detailed description of the present invention when taken in conjunction with the accompanying drawings, in which:
FIG. 1 is a block diagram of an equipment health management system of a wind turbine generator set of an embodiment of the present invention;
FIG. 2 is a block diagram of a data operation layer of an embodiment of the present invention;
FIG. 3 is an integrated flow diagram of an equipment health management system of a wind generating set as a subsystem of a centralized monitoring service system in accordance with an exemplary embodiment of the present invention;
fig. 4 is a schematic diagram of a work order push service according to an embodiment of the present invention.
In the drawings, like reference numerals will be understood to refer to like elements, features and structures.
Detailed Description
The following description with reference to the accompanying drawings is provided to assist in a comprehensive understanding of exemplary embodiments of the invention as defined by the claims and their equivalents. The following description with reference to the figures includes various specific details to aid understanding, but the specific details are to be considered exemplary only. Accordingly, those of ordinary skill in the art will appreciate that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the invention. In addition, descriptions of well-known functions and constructions may be omitted for clarity and conciseness.
The terms and words used in the following description and claims are not limited to a literal meaning, but are used only by the inventors to enable a clear and consistent understanding of the invention. Accordingly, it should be apparent to those skilled in the art that the following description of the exemplary embodiments of the present invention are provided for illustration only, and not for the purpose of limiting the invention as defined by the appended claims and their equivalents.
Fig. 1 is a block diagram illustrating an equipment health management system of a wind park according to an embodiment of the present invention.
As shown in fig. 1, the equipment health management system 100 of the wind turbine generator system includes a data acquisition layer 101, a data operation layer 102, a data scheduling layer 103, and an application layer 104. According to an embodiment of the invention, the equipment health management system 100 of the wind turbine generator set may be implemented by various computing devices (e.g., computers, servers, workstations, etc.). Specifically, the data acquisition layer 101 is configured to acquire raw data required for performing equipment health management, the data operation layer 102 is configured to perform data processing on the acquired raw data to obtain early warning data and fault diagnosis data for performing equipment health management on the wind generating set, the data scheduling layer 103 is configured to schedule and distribute the early warning data and the fault diagnosis data obtained by the data operation layer 102 to at least one target database, and the application layer 104 is configured to acquire the early warning data and the fault diagnosis data from the at least one target database and visually present the early warning data and the fault diagnosis data to a user. The data operation layer 102 and the data scheduling layer 103 are deployed in a cloud server.
According to the embodiment of the invention, the raw data acquired in the data acquisition layer 101 includes equipment real-time data acquired from a big data center and equipment fault data acquired from a SCADA system, and the data acquisition layer 101 also acquires online status monitoring data from an online status monitoring system. The online state monitoring system has the characteristics of high reliability, accurate real-time sampling and strong structural environment adaptability, and the online state monitoring system obtains fault judgment data, namely online state monitoring data, by intelligently analyzing and empirically summarizing on-site SCADA data. Here, the online status monitoring data is transmitted by the forward isolation device to the device health management database for storage. The forward direction isolation device is a safety protection device positioned between the dispatching data network and the public information network and is used for unidirectional data transmission from the safety zone I/II to the safety zone III. The system can identify illegal requests and prevent data access and operation exceeding the authority, thereby effectively resisting malicious damage and attack activities of viruses, hackers and the like to the power network system initiated in various forms and protecting the safety of a real-time closed-loop monitoring system and a scheduling data network. Meanwhile, the information and resource sharing of the two networks is realized by adopting a non-network transmission mode, and the safe and stable operation of the power system is guaranteed.
According to the embodiment of the invention, the data operation layer 102 performs data processing on the raw data acquired in the data acquisition layer 101 to obtain early warning data and fault diagnosis data for performing equipment health management on the wind generating set, wherein the early warning data comprises at least one of vibration monitoring data, health evaluation data and index statistical data, and the fault diagnosis data comprises at least one of fault component data, fault category data, fault maintenance data and service data. The following will explain in detail the data processing process performed by the data operation layer of the equipment health management system of the wind turbine generator system with reference to fig. 2.
FIG. 2 is a block diagram illustrating a data operation layer according to an embodiment of the present invention.
As shown in fig. 2, the data operation layer 102 includes an early warning operation unit 201 and a failure diagnosis unit 202. Specifically, the early warning operation unit 201 performs data early warning processing on the acquired real-time equipment data to obtain early warning data, and the fault diagnosis unit 202 performs analysis and matching on the acquired equipment fault data to obtain fault diagnosis data. The early warning operation unit 201 performs at least one of work order management, snapshot management, operation scheduling, slave node management, task reception, data processing, data storage, cluster management, task distribution and log management on the acquired real-time data of the equipment, and the fault diagnosis unit 202 performs at least one of data analysis, online diagnosis, offline diagnosis, task monitoring, scheme management, algorithm configuration and document management on the acquired fault data of the equipment in analysis and matching.
According to the embodiment of the invention, when the early warning operation unit 201 performs data early warning processing on the acquired real-time equipment data, the early warning operation unit performs data processing of different early warning algorithms to obtain early warning data due to the difference between the wind generating sets and the difference between the real-time equipment data. For example, when the wind turbine generator system is early-warned of the deviation direction vibration abnormality, the early-warning operation unit 201 intercepts the acquired real-time equipment data, namely the vibration data of the wind turbine generator system, according to the rotating speed, and calculates the confidence elliptic point, the major axis, the minor axis and the axial ratio non-empty area by using an ellipse function to judge and early-warn the deviation direction vibration abnormality. For example, when the abnormal sound of the generator of the wind turbine generator system is processed, the warning calculation unit 201 performs fourier transform on the acquired fault data of the generator by dividing the fault data into sections according to frequency, and compares the spectrum data according to an empirical threshold to warn the abnormality of the generator. For another example, when processing real-time data of a converter of a wind turbine generator system, the early warning operation unit 201 reads the real-time data of the converter, performs local regression calculation on outlet valve pressure and inlet valve pressure, performs linear fitting on two variables x and y of outlet valve pressure regression fitting to obtain a slope, and performs differential calculation on a fitting regression result to perform early warning judgment on whether the current leaks. It should be understood that the above examples of the warning algorithm are only illustrative examples, and the warning algorithm that may be employed in the present invention is not limited thereto.
According to the embodiment of the present invention, the fault diagnosis unit 202 analyzes and matches the acquired device fault data to obtain corresponding fault diagnosis data, where the device fault data includes a master control version, a fault code, a fan number, and the like. Specifically, the fault diagnosis unit 202 matches matching schemes in the fault scheme library according to the acquired device fault data such as the master control version, the fault code, the fan number, and the like, determines whether the matching schemes meet matching conditions and calculates the accuracy of the matching schemes according to the logical relation of each matching scheme, and finally pushes the matching schemes with higher accuracy that meet the matching conditions. According to the embodiment of the present invention, assuming that the acquired master control version is 1500_ FR _ V141120, the fault code is 435, and the fan number is 220803002, the fault diagnosis unit 202 matches the acquired device fault data to obtain matching scheme data in the fault scheme library, for example, if the corresponding codes of the obtained matching scheme data are 43501, 43502, 43503, 43504, 43505, 43506, 43507, 43508, 43509, and 43510, it is determined whether the 10 matching schemes meet matching conditions, and a matching scheme with a higher accuracy is calculated by a logical relational expression of each matching scheme, and pushed to a client. For example, if the codes of the obtained matching schemes meeting the higher accuracy in the matching conditions are 43503, 43504 and 43506, the matching schemes 43503, 43504 and 43506 are pushed to the customer, and the faulty equipment is repaired according to the relevant data in the matching schemes 43503, 43504 and 43506. In addition, when the fault diagnosis unit 202 performs matching of the fault solution library on the acquired device fault data, if there is no corresponding matching solution data in the fault solution library, the fault diagnosis unit 202 directly returns the device fault data and pushes information of a non-matching solution. It should be understood that the above examples of the equipment failure data are merely illustrative examples, and the equipment failure data employable by the present invention is not limited thereto.
Returning to fig. 1, according to the embodiment of the present invention, the data scheduling layer 103 schedules and distributes the early warning data and the fault diagnosis data acquired in the data operation layer 102 to at least one target database, where the at least one target database includes at least one of an equipment health management database, an asset management system database, and a life cycle management system database. Specifically, the data scheduling layer 103 may directly schedule and distribute the early warning data and the fault diagnosis data to the device health management database for storage, so as to provide data for a user to perform visual display, the data scheduling layer 103 may also schedule and distribute the early warning data and the fault diagnosis data to the asset management system database and/or the life cycle management system database according to a user requirement, and the asset management system database and the life cycle management system database may provide corresponding operation and maintenance procedures according to the received early warning data and fault diagnosis data, so that the operation and maintenance staff may perform operation and maintenance work of the corresponding procedures. Here, the asset management system database is used for managing necessary fixed asset databases such as a device health management system, a centralized monitoring service system, and the like, and specifically includes fixed assets such as a wind farm forwarding server, a central control server, a vibration monitoring server, a forward isolation server, a vibration monitoring data parsing server, and a data receiving server, a data scheduling server, and the like. Correspondingly, the life cycle management system database is used for managing daily work of adding, modifying, quitting, transferring, deleting, borrowing, returning, maintaining, calculating depreciation rate and residual value rate of fixed assets, and storing and backing up work orders and logs generated by wind power plant operation and maintenance of the wind generating set.
According to an embodiment of the present invention, the data scheduling layer 103 further receives feedback information data processed by the field work order of at least one target database, and schedules and distributes the feedback information data to the equipment health management database. For example, the asset management system database stores and analyzes the received early warning data and fault diagnosis data, and feeds back the feedback information data processed by the field work order to the data scheduling layer 103, and the data scheduling layer 103 receives the feedback information data of the asset management system database and schedules and distributes the feedback information data according to different requirements. It should be understood that the above examples of the at least one target database are only illustrative examples, and the target database that may be employed in the present invention is not limited thereto.
According to the embodiment of the invention, the application layer 104 visually displays the early warning data and the fault diagnosis data to a user. Specifically, the application layer 104 obtains the stored early warning data and fault diagnosis data from the device health management database, the asset management system database, and the life cycle management system database according to different needs of the user, and provides a service for performing visualization operation to display the early warning data and the fault diagnosis data to the user. In addition, since the data acquisition layer 101 also acquires online status monitoring data from the online status monitoring system, and the acquired online status monitoring data is stored in the device health management database, the application layer 104 can directly acquire the stored online status monitoring data from the device health management database and display the online status monitoring data.
According to an embodiment of the present invention, the operation mode of the equipment health management system 100 of the wind turbine generator system includes two modes of independent operation and operation as a subsystem. When the device health management system operates independently, the application layer 104 provides a function page for data entry to support a user to create a custom right, for example, to create a right setting including basic data of the right, the user, a wind farm, a wind turbine generator, and the like. When the device health management system operates as a subsystem, the application layer 104 provides for timed synchronization to specific permission settings in the host system for visual presentation to the user. According to the embodiment of the invention, when the equipment health management system is assumed to be integrated as a subsystem of the centralized monitoring service system, the centralized monitoring service system is a main system, and the authority data is obtained by the equipment health management system by performing timing synchronization from the centralized monitoring service system. Here, the centralized monitoring service system includes not only the equipment health management system, but also other systems involved in the operation and maintenance of the wind farm and the management of the wind turbine generator system, such as a wind farm monitoring management system, an asset management system, a business intelligent processing system, and the like, and an integrated system having higher management authority, scheduling means, and business processing mode. It should be understood that the above examples of host systems are merely illustrative examples and that host systems with which the present invention may be employed are not limited thereto. According to the above example, the operation mode of the device health management system when integrated as a subsystem of the centralized monitoring service system is as shown in fig. 3, specifically, a login interface of the device health management system is called in the centralized monitoring service system, login information is verified through a login verification interface of the device health management system, if login is verified successfully, Token information of the device health management system is returned, a device health management system page is clicked and called in the centralized monitoring service system, correct Token information of the device health management system is transmitted, a device health management system menu is operated according to the transmitted Token information, and if login is verified unsuccessfully, error information is returned to the centralized monitoring service system and request information for login again is displayed.
According to the embodiment of the invention, the equipment health management system 100 of the wind generating set further provides a work order pushing service, that is, work order data generated by the equipment health management system every day is pushed to different target customer databases, and the work order pushing service is implemented in the data scheduling layer 103. For example, the equipment health management system pushes work order data generated every day to an asset management system database through the data scheduling layer 103, the asset management system database provides corresponding operation and maintenance processes according to the received work order data, and operation and maintenance workers perform operation and maintenance management on equipment of the wind generating set according to the operation and maintenance processes provided by the asset management system database. In the work order push service, because there are many work order receivers and the work order receivers may dynamically increase, in order to decouple the sender and the receiver, an asynchronous, low-coupling, and efficient interface solution is constructed, and is implemented by using a message middleware when the work order push service is performed, a design scheme of which is shown in fig. 4. The work order sending end scans the work order database and sends the work order data to the appointed queue according to the client to which the work order belongs, and the work order receiving end is connected with the Message Broker and takes away the work order data belonging to the work order receiving end in real time, so that the work order data is transmitted in a point-to-point mode to ensure the accurate sending and receiving of the information. The work order receiving end ensures that the received work order data cannot be cleared by errors through a Message confirmation mechanism.
According to the equipment health management system of the wind generating set, the equipment consumption of the wind generating set is reduced, the operation and maintenance strategy of a site is optimized, and the transition from passive maintenance after a fault to active preventive maintenance is realized.
While the invention has been shown and described with reference to certain exemplary embodiments thereof, it will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims and their equivalents.
Claims (11)
1. An equipment health management system for a wind turbine generator system, the system comprising:
the data acquisition layer is configured to acquire original data required for equipment health management;
the data operation layer is configured to perform data processing on the acquired original data to obtain early warning data and fault diagnosis data for performing equipment health management on the wind generating set;
the data scheduling layer is configured to schedule and distribute the early warning data and the fault diagnosis data obtained by the data operation layer to at least one target database;
and the application layer is configured to acquire early warning data and fault diagnosis data from the at least one target database and visually display the early warning data and the fault diagnosis data to a user.
2. The system of claim 1, wherein the data scheduling layer is configured to:
receiving the early warning data and the fault diagnosis data, and scheduling and distributing the received early warning data and the received fault diagnosis data to the at least one target database, wherein the at least one target database comprises at least one of an equipment health management database, an asset management system database and a life cycle management system database.
3. The system of claim 2, wherein the data scheduling layer is further configured to:
and receiving feedback information data processed by the field work order of the at least one target database, and scheduling and distributing the feedback information data.
4. The system of claim 1, wherein the system comprises two modes of independent operation and operation as a subsystem, wherein in the independent operation mode, the application layer provides a function page configured for data entry to support creation of custom rights by a user; in the subsystem operation mode, the application layer provides specific permission setting configured for timing synchronization in the main system for visual presentation to the user.
5. The system of claim 4, wherein the host system is a centralized monitoring service system, and when the equipment health management system is integrated in the centralized monitoring service system as a subsystem, the system operates as follows:
and calling a login interface of the equipment health management system in the centralized monitoring service system, verifying login information through the login verification interface of the equipment health management system, if the verification is successful, returning Token information of the equipment health management system, operating an equipment health management system menu according to the returned Token information, and if the verification is failed, returning error information to the centralized monitoring service system and displaying re-login request information.
6. The system of claim 1, wherein the raw data comprises real-time data of equipment obtained from a big data center and fault data of equipment obtained from a SCADA system.
7. The system of claim 6, wherein the data operation layer is configured to include:
the early warning operation unit is used for carrying out data early warning processing on the acquired real-time data of the equipment to obtain early warning data, wherein the early warning data comprises at least one of vibration monitoring data, health evaluation data and index statistical data;
and the fault diagnosis unit analyzes and matches the acquired equipment fault data to obtain fault diagnosis data, wherein the fault diagnosis data comprises at least one of fault component data, fault category data, fault maintenance data and service data.
8. The system of claim 7, wherein the early warning arithmetic unit is further configured to perform at least one of work order management, snapshot management, operational scheduling, slave node management, task reception, data processing, data storage, cluster management, task distribution, and log management, and the fault diagnosis unit is further configured to perform at least one of data analysis, online diagnosis, offline diagnosis, task monitoring, project management, algorithm configuration, and document management.
9. The system of claim 2, wherein the data acquisition layer is further configured to:
and acquiring online state monitoring data from an online state monitoring system, and transmitting the online state monitoring data to the equipment health management database through forward isolation equipment for storage.
10. The system of claim 9, wherein the application layer is further configured to obtain online status monitoring data from the device health management database and visually present to a user.
11. The system of claim 1, wherein the data computation layer and the data scheduling layer are deployed at a cloud server.
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| CN112862114A (en) * | 2020-12-24 | 2021-05-28 | 交控科技股份有限公司 | Butt joint method of equipment state monitoring system and asset management system of rail transit |
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