CN111526203B - Fan fault early warning system and method - Google Patents
Fan fault early warning system and method Download PDFInfo
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- CN111526203B CN111526203B CN202010356382.7A CN202010356382A CN111526203B CN 111526203 B CN111526203 B CN 111526203B CN 202010356382 A CN202010356382 A CN 202010356382A CN 111526203 B CN111526203 B CN 111526203B
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
- H04L67/025—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP] for remote control or remote monitoring of applications
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D25/00—Pumping installations or systems
- F04D25/02—Units comprising pumps and their driving means
- F04D25/08—Units comprising pumps and their driving means the working fluid being air, e.g. for ventilation
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- F—MECHANICAL ENGINEERING; LIGHTING; HEATING; WEAPONS; BLASTING
- F04—POSITIVE - DISPLACEMENT MACHINES FOR LIQUIDS; PUMPS FOR LIQUIDS OR ELASTIC FLUIDS
- F04D—NON-POSITIVE-DISPLACEMENT PUMPS
- F04D27/00—Control, e.g. regulation, of pumps, pumping installations or pumping systems specially adapted for elastic fluids
- F04D27/001—Testing thereof; Determination or simulation of flow characteristics; Stall or surge detection, e.g. condition monitoring
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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
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
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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
- 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
- G06Q50/06—Electricity, gas or water supply
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
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- 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]
- G16Y10/00—Economic sectors
- G16Y10/35—Utilities, e.g. electricity, gas or water
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- 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
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- 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
- G16Y40/20—Analytics; Diagnosis
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- 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
- G16Y40/40—Maintenance of things
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1097—Protocols in which an application is distributed across nodes in the network for distributed storage of data in networks, e.g. transport arrangements for network file system [NFS], storage area networks [SAN] or network attached storage [NAS]
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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
- Y02E10/00—Energy generation through renewable energy sources
- Y02E10/70—Wind energy
- Y02E10/72—Wind turbines with rotation axis in wind direction
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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 application discloses fan trouble early warning system includes: the N wind power plant local end systems are used for uploading detection data of each fan of the local end to corresponding information central systems for storage; the fault early warning container service system is used for encapsulating each early warning algorithm which is preset in an early warning algorithm code base and allowed to be applied to the fan of the type and configuration information on which each early warning algorithm depends based on the type of the fan when the detection data of any fan is determined to be updated, obtaining a container mirror image corresponding to the type of the fan, and constructing and executing a container example for the fan; the operation and maintenance system of the regional wind power plant is used for outputting operation and maintenance information; and the cloud algorithm updating system is used for updating the algorithm of the early warning algorithm code base. By applying the scheme of the application, a container service architecture is adopted, so that development, test and deployment of the algorithm are facilitated, and management and use are facilitated. The application also provides a fan fault early warning method which has a corresponding effect.
Description
Technical Field
The invention relates to the technical field of wind driven generators, in particular to a fan fault early warning system and method.
Background
The fan fault early warning refers to collecting real-time data of a fan, and then processing the real-time data by adopting a mechanism algorithm, a machine learning algorithm and other methods, so that the probability of the fan failing in a future period of time is obtained, and further, the operation and maintenance strategy adopted at the present or a future time point is determined. The fault early warning is a key technology for realizing the predictability operation and maintenance of the wind driven generator, and is beneficial to reducing the unplanned shutdown times of the wind turbine, thereby obviously reducing the operation and maintenance cost of wind power generation and improving the full life cycle yield of the wind power generation.
At present, a single-machine application program is usually developed for fan fault early warning, a fault early warning algorithm is integrated in the program, and the program is installed and deployed on a local computer of a wind power plant booster station or a local computer of a certain remote centralized monitoring center. The characteristics of this deployment can be summarized as follows: centralizing monolithic applications and localized deployment. In practical applications, when a company has tens of wind farms or a plurality of remote centralized monitoring centers, these features bring about the following disadvantages.
First, the process of continuous development of fault warning systems becomes unmanageable. The fault early warning algorithm is continuously, rapidly iterated and newly added, the services developed and tested by the algorithms are generally in the headquarters of companies or regional headquarters, and meanwhile, operation and maintenance personnel in the local wind power plant can also carry out algorithm testing and trial operation work. However, since the continuous development process of the fault early warning system is based on localized deployment and centralized application programs, these algorithms become fragmented and cannot be uniformly managed and used finally along with continuous iteration of each local system.
Second, such an approach can make deployment of the fault warning system costly and extremely inefficient. Because the theory should be applicable to all fans no matter whether the iteration and the new addition of the fault early warning algorithm are developed at the company headquarter or the regional headquarter level, the improved and the newly added algorithms are integrated in each locally deployed fault early warning centralized single program due to the adoption of the centralized single application program, and the re-development, the testing and the deployment are needed, so that the development of the fault early warning algorithm and the development and the change of the corresponding program are extremely inefficient, and the development, the testing and the deployment of the algorithms and the programs can be standardized and managed only by investing very high labor cost and management cost.
In summary, how to more conveniently and effectively develop, test and deploy a fault early warning algorithm is a technical problem that needs to be solved urgently by those skilled in the art at present.
Disclosure of Invention
The invention aims to provide a fan fault early warning system and method, so that a fault early warning algorithm can be developed, tested and deployed more conveniently and effectively.
In order to solve the technical problems, the invention provides the following technical scheme:
a fan fault early warning system comprising:
the N wind power plant local end systems are all used for uploading detection data of each fan in the wind power plant local end systems;
the system comprises M regional end centralized control center systems, a fault early warning container service system and a regional end wind power station operation and maintenance system, wherein each regional end centralized control center system comprises an information center system, the fault early warning container service system and the regional end wind power station operation and maintenance system; wherein M and N are positive integers;
the information center system is used for receiving and storing detection data uploaded by one or more local end systems of the wind power plant;
the fault early warning container service system is used for encapsulating each early warning algorithm which is preset in an early warning algorithm code base and allowed to be applied to the fan of the type and configuration information on which each early warning algorithm depends based on the type of the fan when the fact that the detection data of any fan stored in the information central system are updated is determined, obtaining a container mirror image corresponding to the type of the fan, and constructing and executing a container example for the fan based on the container mirror image;
the regional end wind power plant operation and maintenance system is used for receiving each early warning result obtained by the fault early warning container service system executing each container instance and outputting corresponding operation and maintenance information based on each early warning result;
and the cloud algorithm updating system is used for updating the algorithm of the early warning algorithm code base in each regional end centralized control center system.
Preferably, the method further comprises the following steps:
and the cloud centralized monitoring system is used for receiving and displaying each early warning result obtained by executing each container instance by the fault early warning container service system.
Preferably, the operation and maintenance system of the regional wind farm is specifically configured to:
receiving each early warning result obtained by the fault early warning container service system executing each container instance, and outputting corresponding operation and maintenance information to a cloud operation and maintenance management system based on each early warning result;
and the cloud operation and maintenance management system is used for carrying out corresponding operation and maintenance operation based on the operation and maintenance information.
Preferably, the fault early warning container service system is specifically configured to:
when triggered by an update log, determining that detection data of any fan stored in the information hub system is updated, acquiring the detection data of the fan from the information hub system in a subscription mode, packaging each pre-warning algorithm allowed to be applied to the fan of the type and configuration information on which each pre-warning algorithm depends in a pre-set pre-warning algorithm code base based on the type of the fan to obtain a container mirror image corresponding to the type of the fan, and constructing and executing a container instance for the fan based on the container mirror image.
Preferably, the cloud algorithm updating system is further configured to:
and when a gray level updating instruction is received, updating the target algorithm in the early warning algorithm code library in each regional terminal centralized control center system, and reserving the target algorithm before updating.
Preferably, each wind farm local end system comprises:
the system comprises P data acquisition ends, a data processing unit and a data processing unit, wherein each data acquisition end corresponds to one fan and is used for acquiring detection data of the fan according to a preset period; wherein, P is a positive integer;
the wind power plant local SCADA system is used for sending the data of each data acquisition end to the communication management machine;
and the communication management machine is used for uploading the detection data of each fan of the wind power plant local end system to an information center system of a regional end centralized control center system corresponding to the wind power plant local end system for storage.
Preferably, each wind farm local end system further comprises:
the data encryption system is used for encrypting the data uploaded by the communication manager;
each regional end centralized control center system further comprises:
and the data decryption system is used for decrypting the received data and then storing the decrypted data to the information hub system.
A fan fault early warning method comprises the following steps:
the N wind power plant local end systems upload detection data of each fan in the wind power plant local end systems;
each of the M regional end centralized control center systems comprises an information center system, a fault early warning container service system and a regional end wind power station operation and maintenance system; wherein M and N are positive integers;
the information center system receives and stores detection data uploaded by one or more wind power plant local end systems;
when the fault early warning container service system determines that the detection data of any fan stored in the information center system is updated, based on the type of the fan, packaging each early warning algorithm allowed to be applied to the fan of the type and configuration information on which each early warning algorithm depends, which are preset in an early warning algorithm code base, to obtain a container mirror image corresponding to the type of the fan, and based on the container mirror image, constructing a container instance for the fan and executing the container instance;
the operation and maintenance system of the regional wind power station receives each early warning result obtained by the fault early warning container service system executing each container instance, and outputs corresponding operation and maintenance information based on each early warning result;
and the cloud algorithm updating system performs algorithm updating on the early warning algorithm code base in each regional end centralized control center system.
Preferably, the method further comprises the following steps:
and the cloud centralized monitoring system receives and displays each early warning result obtained by executing each container instance by the fault early warning container service system.
Preferably, the method further comprises the following steps:
and when the cloud algorithm updating system receives the gray level updating instruction, the target algorithm in the early warning algorithm code base in each regional terminal centralized control center system is updated, and the target algorithm before updating is reserved.
By applying the technical scheme provided by the embodiment of the invention, the detection data of each fan in N local end systems of the wind power plant are uploaded, specifically, M regional end centralized control center systems are arranged, and each regional end centralized control center system comprises an information center system, a fault early warning container service system and a regional end wind power plant operation and maintenance system. The information center system can receive and store detection data uploaded by one or more wind power plant local end systems. Specifically, in the scheme of the application, a container service architecture is adopted, and the operation examples of the early warning algorithm cluster required by the single fan are deployed in the containers of the distributed system, so that the fan fault early warning service logic and the bottom layer of the information system are maximally separated, and the bottom layer of the information system executed by the container examples is implemented by a unified information system architecture, namely the distributed system architecture based on container arrangement. Specifically, when determining that the detection data of any one fan stored in the information center system is updated, the fault early warning container service system packages each early warning algorithm allowed to be applied to the fan of the type and configuration information on which each early warning algorithm depends, which are preset in an early warning algorithm code base, based on the type of the fan, obtains a container mirror image corresponding to the type of the fan, and constructs and executes a container instance for the fan based on the container mirror image. And the algorithm updating in the early warning algorithm code base is realized by a cloud algorithm updating system. Therefore, the problem that version fragmentation and unified management and use cannot be caused in the traditional multi-terminal maintenance scheme can be solved, management and use of the fan fault early warning system are facilitated, and meanwhile, the early warning algorithm cluster corresponding to a certain fan type is issued in a container mode, so that quick iteration of the algorithm is guaranteed. In addition, the container examples are operated through the M regional end centralized control center systems, and compared with the container examples which are operated through a cloud end, the container examples are generally suitable for occasions with light data volumes, and the cost is lower.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, it is obvious that the drawings in the following description are only some embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a schematic structural diagram of a fan failure early warning system according to the present invention;
FIG. 2 is a schematic structural diagram of a fan failure warning system according to an embodiment of the present invention;
fig. 3 is a flowchart of an implementation of a method for early warning of a fan failure according to the present invention.
Detailed Description
The core of the invention is to provide a fan fault early warning system, which adopts a container service architecture, is convenient for developing, testing and deploying algorithms and is also convenient for management and use.
In order that those skilled in the art will better understand the disclosure, the invention will be described in further detail with reference to the accompanying drawings and specific embodiments. It should be apparent that the described embodiments are only some embodiments of the present invention, and not all embodiments. All other embodiments, which can be obtained by a person skilled in the art without making any creative effort based on the embodiments in the present invention, belong to the protection scope of the present invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a fan failure early warning system according to the present invention, where the fan failure early warning system may include:
the N wind farm local end systems 10 are all used for uploading detection data of each fan in the wind farm local end system 10;
the system comprises M regional end centralized control center systems 20, wherein each regional end centralized control center system 20 comprises an information center system 21, a fault early warning container service system 22 and a regional end wind power station operation and maintenance system 23; wherein M and N are positive integers;
the information center system 21 is used for receiving and storing the detection data uploaded by one or more wind power plant local end systems 10;
the fault early warning container service system 22 is configured to, when it is determined that detection data of any one of the fans stored in the information center system 21 is updated, encapsulate, based on the type of the fan, each early warning algorithm that is preset in an early warning algorithm code base and allowed to be applied to the fan of the type and configuration information on which each early warning algorithm depends, obtain a container mirror image corresponding to the type of the fan, and construct and execute a container instance for the fan based on the container mirror image;
the regional end wind power plant operation and maintenance system 23 is used for receiving each early warning result obtained by the fault early warning container service system 22 executing each container instance, and outputting corresponding operation and maintenance information based on each early warning result;
and the cloud algorithm updating system 33 is used for updating the algorithm of the early warning algorithm code base in each regional terminal centralized control center system 20.
Specifically, the value of N generally depends on the number of the actual wind farm, and each wind farm local end system 10 periodically performs detection data of each fan in the wind farm local end system 10, specifically, in the scheme of the present application, the detection data is uploaded to the area end corresponding to the wind farm local end.
It should be noted that, one regional end may receive data uploaded by one or more local wind farm ends, that is, for an information hub system 21 in any one regional end centralized control center system 20, the information hub system 21 may receive and store detection data uploaded by one or more local wind farm end systems 10, and in practical application, one information hub system 21 generally receives and stores detection data uploaded by multiple local wind farm end systems 10.
In addition, it should be noted that the number of the local end systems 10 of the wind farm corresponding to different regional end centralized control center systems 20 may be different, for example, in a specific occasion, one regional end centralized control center system 20 may receive data uploaded by 3 local end systems 10 of the wind farm, and another regional end centralized control center system 20 may receive data uploaded by 5 local end systems 10 of the wind farm, for example.
The specific configuration of each wind farm local end system 10 may also be set and adjusted according to actual needs, for example, in an embodiment of the present invention, each wind farm local end system 10 may include:
p data acquisition ends, wherein each data acquisition end corresponds to one fan and is used for acquiring the detection data of the fan according to a preset period; wherein, P is a positive integer;
the wind power plant local SCADA system is used for sending the data of each data acquisition end to the communication management machine;
and the communication management machine is used for uploading the detection data of each fan of the wind farm local end system 10 to the information central system 21 of the regional end centralized control central system 20 corresponding to the wind farm local end system 10 for storage.
This embodiment is also the more common configuration of the wind farm local end system 10. It can be understood that, in different wind farm local end systems 10, the number of data acquisition ends may be different, that is, the value of P in different wind farm local end systems 10 may be different. The specific form of the data acquisition end may also be selected according to actual needs, for example, it may be a common PLC (Programmable Logic Controller). In the specific embodiment of fig. 2 of the present application, each data acquisition end is a fan PLC11, for example, the fan collects real-time sensor data of the fan to a PLC corresponding to the fan every 1s, that is, the preset period in this example is 1s, and in other specific occasions, the value of the preset period may be adaptively adjusted as needed.
A local SCADA (Supervisory control and data acquisition) system of a wind power plant is a widely applied data acquisition and monitoring control system, and is convenient for implementation of schemes. The communication manager 13 may upload the detection data of each fan of the wind farm local end system 10 to the information center system 21 of the regional end centralized control center system 20 corresponding to the wind farm local end system 10 for storage, and specifically, in this embodiment, the communication manager 13 may upload the data uploaded by the wind farm local SCADA system 12 by relaying.
Further, in an embodiment of the present invention, referring to fig. 2, each wind farm local end system 10 may further include:
a data encryption system 14 for encrypting the data uploaded by the communication manager 13;
correspondingly, each regional end centralized control center system 20 further includes:
and the data decryption system 201 is used for decrypting the received data and storing the decrypted data in the information center system 21.
In this embodiment, the data is encrypted and then uploaded to the regional end centralized control center system 20, which is beneficial to improving the security of data transmission. In addition, in the embodiment of fig. 2, a firewall 202 and a forward isolation system 203 are further disposed in the regional end centralized control center system 20, so as to further enhance data security.
The regional end centralized control center system 20 of the present application is generally disposed at a regional headquarters of a region, and is configured to manage wind farms in the region, and each regional end centralized control center system 20 includes an information center system 21, a fault early warning container service system 22, and a regional end wind farm operation and maintenance system 23. For example, in the embodiment of fig. 2, 3 wind farm local end systems 10 are shown, and it can be understood that internal configurations of the wind farm local end systems 10 may be the same or different, and the functional requirements of the present application may be met, without affecting the implementation of the present application.
When the detection data of any fan stored in the information center system 21 is updated, the fault-early-warning container service system 22 constructs and executes a container instance corresponding to the fan based on the content of the detection data.
Specifically, the early warning algorithm code base described in the present application includes a plurality of fault early warning algorithms, for example, if a worker develops 70 fan fault early warning algorithms by using a mechanism algorithm, a machine learning algorithm, and the like, the early warning algorithm code base of the present application includes 70 fault early warning algorithms. It should be noted that, for a specific fault early warning algorithm, the fault early warning algorithm may be applicable to only one fan product, and may also be applicable to multiple fan products. For example, one of the 70 fault warning algorithms is a fan yaw rate anomaly warning algorithm, which is applicable to two fan products, while another fault warning algorithm may be applicable to three fan products, for example.
When the fault early warning container service system 22 determines that the detection data of any fan stored in the information central system 21 is updated, each early warning algorithm allowed to be applied to the fan of the type preset in the early warning algorithm code library and the configuration information on which each early warning algorithm depends are packaged based on the type of the fan, so that a container mirror image corresponding to the type of the fan is obtained.
For example, a certain fault early warning container service system 22 receives data uploaded by two wind power plants, the two wind power plants include 6 wind turbine products in total, the number of wind turbines of each wind turbine product is 5, that is, the two wind power plants have 6 wind turbine types and 30 wind turbines in total. The fault-advance container service system 22 may generate 6 container mirrors. For example, for a type a fan, 46 early warning algorithms among 70 fault early warning algorithms may be applied to the type a fan, and then 46 algorithms are included in a container mirror image corresponding to the type a fan, and during packaging, configuration information on which the 46 early warning algorithms depend needs to be packaged, where the configuration information may specifically include system configuration data, environment data, runtime database data, and the like. That is, the container mirror image described in this application refers to: and (3) packaging the fault early warning algorithm cluster mirror image required by one fan product, and simultaneously packaging all necessary information such as system configuration, environment, operation library and the like which are required by the algorithms to be executed, namely forming a container mirror image which is a standard container for packaging all early warning algorithms of one fan product.
It is understood that when a container image is packaged, the type of fan that can be used by the container image is also determined. After the container mirror image is obtained, based on the container mirror image, a container instance for the fan may be constructed and executed, where the container instance refers to a computer process that uses the container mirror image for fault early warning of one fan, that is, when detection data of any fan stored in the information hub system 21 is updated, the detection data of the fan may be input into the corresponding container instance to obtain an early warning result. In the foregoing example, there are 6 wind turbine types in two wind farms, and 30 wind turbines, then it will be appreciated that the fault pre-warning container service system 22 can generate 6 container images, and 5 container instances can be constructed based on each container image.
Further, it should be noted that the fault-advance container service system 22 may construct multiple container instances, but not necessarily simultaneously. For example, in fig. 2, N wind farm local end systems 10 upload data at a frequency of 1Hz, and each of the wind farm a local end system 10 and the wind farm B local end system 10 uploads data to the regional end centralized control center system I, in this 1s, the detection data of each wind turbine may arrive sequentially rather than simultaneously. For example, there are 30 fans in the wind farm a and the wind farm B, for example, if the detection data of the 0.3s and 1 st fan in the 1s are updated, the fault pre-warning container service system 22 will construct a container instance of the detection data corresponding to the 1 st fan, and if the detection data of the 0.35s,2 nd fan and 7 th fan in the 1s are updated, the fault pre-warning container service system 22 will construct a container instance of the detection data corresponding to the 2 nd fan and a container instance of the detection data corresponding to the 7 th fan. Usually, if the detection data of 30 fans in 1s are all updated, the fault warning container service system 22 constructs 30 container instances in total.
The fault-early-warning container service system 22 executes each constructed container instance, and then obtains the execution result of each container instance, that is, the early-warning result. For example, 26 algorithms are included for a certain container example, and each algorithm can obtain a judgment value indicating whether to warn or not.
The operation and maintenance system 23 of the regional wind farm can summarize the early warning results, and output corresponding operation and maintenance information based on each early warning result, and generally, can output the operation and maintenance information to the cloud, i.e. in a specific embodiment of the present invention,
the operation and maintenance system 23 for the regional wind farm may be specifically configured to:
receiving each early warning result obtained by executing each container instance by the fault early warning container service system 22, and outputting corresponding operation and maintenance information to the cloud operation and maintenance management system based on each early warning result;
and the cloud operation and maintenance management system is used for carrying out corresponding operation and maintenance operation based on the operation and maintenance information.
In addition, the area side may also directly output the early warning result to the cloud side in addition to outputting the operation and maintenance information, that is, in a specific embodiment of the present invention, the method may further include:
and the cloud centralized monitoring system is used for receiving and displaying each early warning result obtained by executing each container instance by the fault early warning container service system 22, so that the early warning condition of each fan can be conveniently mastered in real time through the cloud. In the embodiment of fig. 2 of the present application, a cloud operation and maintenance management system 31 and a cloud centralized monitoring system 32 are disposed at a cloud.
The cloud algorithm updating system 33 is configured to perform algorithm updating on the early warning algorithm code base in each regional end centralized control center system 20, that is, the algorithm is developed at the cloud end, and the regional end only needs to receive the algorithm sent by the cloud end to update the early warning algorithm code base at the regional end, so that the operation of the regional end staff is very simple and convenient, and the technical requirements on the regional end staff are low.
It should be noted that, compared with the case where the case instances are deployed in the cloud, the case instances are run at each regional end in the present application, which is generally suitable for the occasions where the data size is light. That is, for a part of companies with a particularly large number of fans, the cloud may be used to execute each container instance, whereas for some light-weight companies, since the data volume is not particularly large, if the cloud is used to execute each container instance, the cost may be very high, a distributed deployment scheme is adopted, that is, M regional end centralized control center systems 20 are used to execute each container instance, which is beneficial to reducing the cost, and resources of each regional end centralized control center system 20 may be effectively utilized. Meanwhile, due to the fact that algorithm development is carried out at the cloud end, the scheme of the application still has the advantages that integration, testing and deployment of a localization program do not need to be considered in the traditional scheme, and the problems that version fragmentation is caused due to multi-end maintenance in the traditional scheme and unified management and use cannot be achieved are solved.
In a specific implementation of the fault early warning container service system 22, data may be obtained in a subscription manner, and in a specific implementation of the present invention, the fault early warning container service system 22 may be specifically configured to:
when triggered by the update log, it is determined that the detection data of any one of the fans stored in the information hub system 21 is updated, the detection data of the fan is acquired from the information hub system 21 in a subscription manner, each pre-warning algorithm allowed to be applied to the fan of the type and configuration information on which each pre-warning algorithm depends are set in the pre-warning algorithm code base and packaged based on the type of the fan, a container mirror image corresponding to the type of the fan is obtained, and a container instance for the fan is constructed and executed based on the container mirror image.
In this embodiment, the fault early warning container service system 22 determines that the detection data of a certain fan is updated through the log, and acquires the detection data of the certain fan from the information hub system 21 in a subscription manner, which is also an embodiment convenient for application.
In an embodiment of the present invention, the cloud algorithm updating system 33 may further be configured to:
when a gray level updating instruction is received, the target algorithm in the early warning algorithm code base in each regional end centralized control center system 20 is updated, and the target algorithm before updating is reserved.
In this embodiment, when the target algorithm in the early warning algorithm code library in each regional end centralized control center system 20 is updated, the target algorithm before updating is retained, so that two or more versions of a certain algorithm can exist, a gray level test is realized, and the test requirements of the algorithm performance in some occasions can be met.
By applying the technical scheme provided by the embodiment of the invention, the detection data of each fan in N wind power plant local end systems 10 are uploaded, specifically, M regional end centralized control center systems 20 are provided, and each regional end centralized control center system 20 comprises an information center system 21, a fault early warning container service system 22 and a regional end wind power plant operation and maintenance system 23. The information center system 21 may receive and store the detection data uploaded by one or more wind farm local end systems 10. Specifically, in the scheme of the application, a container service architecture is adopted, and the operation examples of the early warning algorithm cluster required by the single fan are deployed in the containers of the distributed system, so that the fan fault early warning service logic and the bottom layer of the information system are maximally separated, and the bottom layer of the information system executed by the container examples is implemented by a unified information system architecture, namely the distributed system architecture based on container arrangement. Specifically, when determining that the detection data of any one of the fans stored in the information center system 21 is updated, the fault early-warning container service system 22 packages each early-warning algorithm allowed to be applied to the fan of the type and the configuration information on which each early-warning algorithm depends, which are preset in the early-warning algorithm code base, based on the type of the fan, obtains a container mirror image corresponding to the type of the fan, and constructs and executes a container instance for the fan based on the container mirror image. And, the algorithm updating in the early warning algorithm code base is realized by the cloud algorithm updating system 33. It can be seen that, when the algorithm is developed, tested and deployed, the worker only needs to pay attention to the fault early warning algorithm, that is, only needs to adjust the early warning algorithm code library of each regional end centralized control center system 20 through the cloud, and does not need to consider the integration, testing and deployment of the localization program as in the conventional scheme. In addition, the container instances are run through the M regional end centralized control center systems 20, and compared with running through a cloud end, the system is generally suitable for occasions with light data size, and is lower in cost.
Corresponding to the system embodiment, the embodiment of the invention also provides a fan fault early warning method, which can be correspondingly referred to with the system embodiment.
Referring to fig. 3, a flow chart of an implementation of a method for early warning of a fan fault according to the present invention includes:
step S301: the N wind power plant local end systems upload detection data of each fan in the wind power plant local end systems;
each of the M regional end centralized control center systems comprises an information center system, a fault early warning container service system and a regional end wind power station operation and maintenance system; wherein M and N are positive integers;
step S302: the information center system receives and stores detection data uploaded by one or more wind power plant local end systems;
step S303: when the fault early warning container service system determines that the detection data of any fan stored in the information center system is updated, based on the type of the fan, packaging each early warning algorithm which is preset in an early warning algorithm code base and allowed to be applied to the fan of the type and configuration information on which each early warning algorithm depends to obtain a container mirror image corresponding to the type of the fan, and based on the container mirror image, constructing a container example for the fan and executing the container example;
step S304: the regional end wind power plant operation and maintenance system receives each early warning result obtained by the fault early warning container service system executing each container instance, and outputs corresponding operation and maintenance information based on each early warning result;
step S305: and the cloud algorithm updating system performs algorithm updating on the early warning algorithm code base in each regional end centralized control center system.
In one embodiment of the present invention, the method further comprises:
and the cloud centralized monitoring system receives and displays each early warning result obtained by executing each container instance by the fault early warning container service system.
In one embodiment of the present invention, the method further comprises:
and when the cloud algorithm updating system receives the gray level updating instruction, the target algorithm in the early warning algorithm code library in each regional terminal centralized control center system is updated, and the target algorithm before updating is reserved.
In one embodiment of the present invention, step S304 includes:
and receiving each early warning result obtained by the fault early warning container service system executing each container instance, and outputting corresponding operation and maintenance information to the cloud operation and maintenance management system based on each early warning result, so that the cloud operation and maintenance management system performs corresponding operation and maintenance operation based on the operation and maintenance information.
In one embodiment of the present invention, step S303 includes:
when the fault early warning container service system is triggered by an update log to determine that detection data of any fan stored in the information hub system is updated, the detection data of the fan is acquired from the information hub system in a subscription mode, each early warning algorithm allowed to be applied to the fan of the type and configuration information on which each early warning algorithm depends, which are preset in an early warning algorithm code base, are packaged based on the type of the fan to obtain a container mirror image corresponding to the type of the fan, and a container instance for the fan is constructed and executed based on the container mirror image.
In one embodiment of the present invention, step S301 includes:
each data acquisition end in the P data acquisition ends corresponds to a fan, and detection data of the fan are acquired according to a preset period; wherein, P is a positive integer;
the local SCADA system of the wind power plant sends the data of each data acquisition end to a communication management machine;
and the communication management machine uploads the detection data of each fan of the local end system of the wind power plant to an information center system of a regional end centralized control center system corresponding to the local end system of the wind power plant for storage.
In one embodiment of the present invention, the method further comprises:
a data encryption system in each wind power plant local end system encrypts data uploaded by a communication management machine;
and the data decryption system in each regional terminal centralized control center system decrypts the received data and stores the decrypted data in the information center system.
It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrases "comprising a," "8230," "8230," or "comprising" does not exclude the presence of additional like elements in a process, method, article, or apparatus that comprises the element.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present invention.
The principle and the implementation of the present invention are explained in the present application by using specific examples, and the above description of the embodiments is only used to help understanding the technical solution and the core idea of the present invention. It should be noted that, for those skilled in the art, without departing from the principle of the present invention, it is possible to make various improvements and modifications to the present invention, and those improvements and modifications also fall within the scope of the claims of the present invention.
Claims (10)
1. The utility model provides a fan trouble early warning system which characterized in that includes:
the N wind power plant local end systems are all used for uploading detection data of each fan in the wind power plant local end systems;
the system comprises M regional end centralized control center systems, a fault early warning container service system and a regional end wind power station operation and maintenance system, wherein each regional end centralized control center system comprises an information center system, the fault early warning container service system and the regional end wind power station operation and maintenance system; wherein M and N are positive integers;
the information center system is used for receiving and storing detection data uploaded by one or more local end systems of the wind power plant;
the fault early warning container service system is used for encapsulating each early warning algorithm which is preset in an early warning algorithm code base and allowed to be applied to the fan of the type and configuration information on which each early warning algorithm depends based on the type of the fan when the fact that the detection data of any fan stored in the information central system are updated is determined, obtaining a container mirror image corresponding to the type of the fan, and constructing and executing a container example for the fan based on the container mirror image;
the regional end wind power plant operation and maintenance system is used for receiving each early warning result obtained by the fault early warning container service system executing each container instance and outputting corresponding operation and maintenance information based on each early warning result;
and the cloud algorithm updating system is used for updating the algorithm of the early warning algorithm code base in each regional end centralized control center system.
2. The wind turbine fault early warning system of claim 1, further comprising:
and the cloud centralized monitoring system is used for receiving and displaying each early warning result obtained by executing each container instance by the fault early warning container service system.
3. The fan fault early warning system of claim 1, wherein the regional wind farm operation and maintenance system is specifically configured to:
receiving each early warning result obtained by the fault early warning container service system executing each container instance, and outputting corresponding operation and maintenance information to a cloud operation and maintenance management system based on each early warning result;
and the cloud operation and maintenance management system is used for carrying out corresponding operation and maintenance operation based on the operation and maintenance information.
4. The fan fault pre-warning system of claim 1, wherein the fault pre-warning container service system is specifically configured to:
when triggered by an update log, determining that detection data of any fan stored in the information hub system is updated, acquiring the detection data of the fan from the information hub system in a subscription mode, packaging each pre-warning algorithm allowed to be applied to the fan of the type and configuration information on which each pre-warning algorithm depends in a pre-set pre-warning algorithm code base based on the type of the fan to obtain a container mirror image corresponding to the type of the fan, and constructing and executing a container instance for the fan based on the container mirror image.
5. The wind turbine fault early warning system of any one of claims 1 to 4, wherein the cloud algorithm updating system is further configured to:
and when a gray level updating instruction is received, updating the target algorithm in the early warning algorithm code base in each regional terminal centralized control center system, and reserving the target algorithm before updating.
6. The wind turbine fault early warning system according to claim 1, wherein each wind farm local end system comprises:
the system comprises P data acquisition ends, a data processing unit and a data processing unit, wherein each data acquisition end corresponds to one fan and is used for acquiring detection data of the fan according to a preset period; wherein, P is a positive integer;
the wind power plant local SCADA system is used for sending the data of each data acquisition end to the communication management machine;
and the communication management machine is used for uploading the detection data of each fan of the wind power plant local end system to an information center system of a regional end centralized control center system corresponding to the wind power plant local end system for storage.
7. The wind turbine fault early warning system of claim 6, wherein each wind farm local end system further comprises:
the data encryption system is used for encrypting the data uploaded by the communication manager;
each regional end centralized control center system further comprises:
and the data decryption system is used for decrypting the received data and then storing the decrypted data to the information hub system.
8. A fan fault early warning method is characterized by comprising the following steps:
the N wind power plant local end systems upload detection data of each fan in the wind power plant local end systems;
each of the M regional end centralized control center systems comprises an information center system, a fault early warning container service system and a regional end wind power station operation and maintenance system; wherein M and N are positive integers;
the information center system receives and stores detection data uploaded by one or more wind power plant local end systems;
when the fault early warning container service system determines that the detection data of any fan stored in the information center system is updated, based on the type of the fan, packaging each early warning algorithm allowed to be applied to the fan of the type and configuration information on which each early warning algorithm depends, which are preset in an early warning algorithm code base, to obtain a container mirror image corresponding to the type of the fan, and based on the container mirror image, constructing a container instance for the fan and executing the container instance;
the operation and maintenance system of the regional wind power station receives each early warning result obtained by the fault early warning container service system executing each container instance, and outputs corresponding operation and maintenance information based on each early warning result;
and the cloud algorithm updating system performs algorithm updating on the early warning algorithm code base in each regional end centralized control center system.
9. The fan fault early warning method according to claim 8, further comprising:
and the cloud centralized monitoring system receives and displays each early warning result obtained by executing each container instance by the fault early warning container service system.
10. The fan fault early warning method according to claim 8 or 9, further comprising:
and when the cloud algorithm updating system receives the gray level updating instruction, the target algorithm in the early warning algorithm code base in each regional terminal centralized control center system is updated, and the target algorithm before updating is reserved.
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