CN113807663B - Intelligent power station middle station system - Google Patents

Intelligent power station middle station system Download PDF

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CN113807663B
CN113807663B CN202110986567.0A CN202110986567A CN113807663B CN 113807663 B CN113807663 B CN 113807663B CN 202110986567 A CN202110986567 A CN 202110986567A CN 113807663 B CN113807663 B CN 113807663B
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CN113807663A (en
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孙猛
邓志成
汪勇
庄伟�
程相杰
方超
陈家颖
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Shanghai Power Equipment Research Institute Co Ltd
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Abstract

The invention discloses a middle station system of an intelligent power station, which comprises: the system comprises a transverse data middle platform module, a transverse model middle platform module, a transverse knowledge middle platform module, a transverse business middle platform module and a longitudinal service middle platform module, wherein each transverse middle platform module is called through a longitudinal service. By the technical scheme, the longitudinal sharing among the transverse data middle platform module, the transverse business middle platform module, the transverse model middle platform module and the transverse knowledge middle platform module can be realized, and the longitudinal service middle platform module provides service for each transverse middle platform module, so that the fusion and intercommunication among the modules are realized, the information island is eliminated, and the intelligent operation level is improved.

Description

Intelligent power station middle station system
Technical Field
The embodiment of the invention relates to the technical field of power systems, in particular to a middle station system of an intelligent power station.
Background
The power station is a complex system integrating voltage conversion, concentrated electric energy and distributed electric energy in the electric power system, various services exist in the power station, and the development of each service often needs support of a plurality of systems such as data, technology and knowledge.
In a traditional power station, the modules are mutually independent and lack of close connection, and information barriers exist in communication and coordinated scheduling, so that the development of various services is not smooth. Aiming at the problems, the existing intelligent power station correlates a service system with a data module, so that the communication problem among the modules is not solved effectively.
Disclosure of Invention
The embodiment of the invention provides an intelligent power station middle station system, which is used for realizing longitudinal sharing among a transverse data middle station module, a transverse business middle station module, a transverse model middle station module and a transverse knowledge middle station module, and providing services for each transverse middle station module through a longitudinal service middle station module, so that fusion and intercommunication among the modules are realized, information islands are eliminated, and the intelligent operation level is improved.
The embodiment of the invention provides an intelligent power station center station system, which comprises the following components:
the transverse data center module is used for acquiring equipment data and production data of each equipment in the intelligent power station, carrying out coding processing on the equipment data through the longitudinal service center module and carrying out standardization processing on the production data; the method comprises the steps of storing intermediate calculation points and soft measurement calculation points generated by a middle platform module of a model, and providing the intermediate calculation points and the soft measurement calculation points for a transverse knowledge middle platform module to carry out knowledge matching;
the transverse model middle platform module is used for calling an equipment model through the longitudinal service middle platform module, and calculating standardized production data based on the equipment model to respectively obtain an intermediate calculation point and a soft measurement calculation point; transmitting the intermediate calculation point and the soft measurement calculation point to the transverse data center station module; the equipment model is built based on the coded equipment data;
the transverse knowledge center module is used for matching the soft measurement calculation points in the transverse data center module with the fault modes of the measuring points of the measuring point library, the components of the equipment component library and the fault mode library through the longitudinal service center module, and determining fault diagnosis information corresponding to the soft measurement calculation points, and the fault mode library comprises: fault diagnosis information corresponding to each fault mode;
the transverse business middle station module is used for establishing an intelligent power station middle station unified user organization architecture system based on the transverse data middle station module and the transverse knowledge middle station module so as to provide business services for users based on the organization architecture system;
the system comprises a longitudinal service center module, a transverse center module and a service call module, wherein the longitudinal service center module is used for providing service call for each transverse center module through a micro service cluster, and the transverse center module comprises: the transverse data middle stage module, the transverse model middle stage module, the transverse knowledge middle stage module and the transverse business middle stage module.
Further, the micro service cluster includes: data standard service, data coding service, model template service, measuring point library service, component library service, fault mode service and service engine service;
the data standard service is used for providing data standard service for the transverse data center module;
the data encoding service is configured to provide a data encoding service to the lateral data center module, where the data encoding is configured to encode device data based on a data type, and the data type includes: system attribution, data source and data object;
a model calling service for providing an equipment model to the transverse model middle platform module; establishing at least one equipment tree based on the coding equipment data and the standardized production data provided by the transverse data center platform module, determining a general modeling template corresponding to each equipment in each equipment tree, and establishing each equipment model based on the general modeling template;
the measuring point library service is used for providing a measuring point library for the transverse knowledge center module;
a component library service for providing a device component library to the lateral knowledge center module;
the fault mode service is used for providing a fault mode library for the transverse knowledge center module;
the service engine service is used for providing the service engine for the transverse service center module.
Further, the model invoking service includes: intermediate computing point algorithm service and soft measurement computing point algorithm service;
the intermediate computing point algorithm service is used for computing the standardized production data based on a preset algorithm in the first equipment model to obtain an intermediate computing point;
the soft measurement computing point algorithm service is used for computing the intermediate computing points based on a preset algorithm of the second equipment model to obtain soft measurement computing points.
Further, the business engine service includes:
the system unification unit is used for establishing a user organization architecture system unifying all business systems based on the data provided by the transverse data center module and the fault diagnosis knowledge provided by the transverse knowledge center module;
the service implementation unit is configured to provide service content to each service platform in each service system based on the user organization architecture system, where the service content includes: service entry, service allocation, service status identification;
the service management unit is configured to perform unified management or individual management on each service platform in each service system based on the user organization architecture system, where the management includes: opening a service, closing the service and updating the service;
a message notification unit, configured to distribute a message notification to each service system based on the user organization architecture system;
and the dictionary service unit is used for providing data inquiry for each transverse middle platform module based on the data dictionary.
Further, the lateral knowledge center module includes:
the measuring point library service interface is used for calling the measuring point library micro-service provided by the longitudinal service center module;
the component library service interface is used for calling the component library micro-service provided by the longitudinal service center module;
the fault mode service interface is used for calling the fault mode micro-service provided by the longitudinal service center module.
Further, the lateral knowledge center module is specifically configured to:
calling a measuring point library service of the longitudinal service center module through a measuring point library service interface, and matching soft measurement calculation points in the transverse data center module with measuring points of a measuring point library unit to determine corresponding components of the measuring points;
calling a component library service of the longitudinal service center module through a component library service interface, and matching the component with a device component library unit component to determine a device corresponding to the component;
and calling the fault mode service of the longitudinal service center module through a fault mode service interface, and determining fault diagnosis information contained in the fault mode of the equipment.
Further, the transverse data center module includes:
a data sharing unit, configured to store and share target data through a shared data resource pool, where the target data includes: the standardized equipment data, the standardized production data, the intermediate calculation points, the soft measurement calculation points;
the data standard micro-service interface is used for calling the data standard micro-service provided by the longitudinal service center module;
and the data coding micro-service interface is used for calling the data coding micro-service provided by the longitudinal service center module.
Further, the transverse model middle stage module includes:
the model calling service interface is used for calling the model calling micro-service provided by the longitudinal service center module;
the intermediate computing point algorithm service interface is used for calling the intermediate computing point algorithm micro-service provided by the longitudinal service center module;
the soft measurement computing point algorithm service interface is used for calling the soft measurement computing point algorithm micro-service provided by the longitudinal service center module.
Further, the transverse service center module includes:
and the business engine service interface is used for calling the business engine micro-service provided by the longitudinal service center module.
Further, the method further comprises the following steps:
the state monitoring module is used for monitoring the equipment state and the equipment production data on line;
the event center module is used for monitoring equipment events on line and executing event flow closed-loop management.
The embodiment of the invention can realize the longitudinal sharing among the transverse data middle station module, the transverse business middle station module, the transverse model middle station module and the transverse knowledge middle station module by integrating the transverse data middle station module, the transverse business middle station module, the transverse model middle station module, the transverse knowledge middle station module, and the intelligent power station middle station system of the transverse model middle station module, the transverse knowledge middle station module, and provide services for each transverse middle station module through the longitudinal service middle station module, so that the fusion and intercommunication among the modules are realized, the information island is eliminated, and the intelligent operation level is improved.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed in the embodiments will be briefly described below, it being understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and other related drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
FIG. 1 is a schematic diagram of a smart power station center system in accordance with an embodiment of the present invention;
FIG. 2 is a schematic flow chart of a condensate pump event process of a thermal power generating unit according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of another intelligent power station center system according to an embodiment of the present invention.
Detailed Description
The invention is described in further detail below with reference to the drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting thereof. It should be further noted that, for convenience of description, only some, but not all of the structures related to the present invention are shown in the drawings.
It should be noted that: like reference numerals and letters denote like items in the following figures, and thus once an item is defined in one figure, no further definition or explanation thereof is necessary in the following figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only to distinguish the description, and are not to be construed as indicating or implying relative importance.
Fig. 1 is a schematic structural diagram of a central station system of an intelligent power station according to an embodiment of the present invention. This embodiment is applicable through setting up the condition of wisdom power station middle station system, tamps wisdom power station construction quality, as shown in fig. 1, wisdom power station middle station system specifically includes: a landscape data middle stage module 110, a landscape model middle stage module 120, a landscape knowledge middle stage module 130, a landscape business middle stage module 140, and a portrait service middle stage module 150.
The transverse data center module 110 is configured to obtain equipment data and production data of each device in the intelligent power station, and perform coding processing on the equipment data through the longitudinal service center module, and perform standardization processing on the production data; the method comprises the steps of storing intermediate calculation points and soft measurement calculation points generated by a middle platform module of a model, and providing the intermediate calculation points and the soft measurement calculation points for a transverse knowledge middle platform module to carry out knowledge matching;
the transverse model middle stage module 120 is configured to invoke an equipment model by using the longitudinal service middle stage module, and calculate standardized production data based on the equipment model to obtain an intermediate calculation point and a soft measurement calculation point; transmitting the intermediate calculation point and the soft measurement calculation point to the transverse data center station module; the equipment model is built based on the coded equipment data;
the transverse knowledge center module 130 is configured to match, by using the longitudinal service center module, a soft measurement calculation point in the transverse data center module with a fault mode of a measurement point library, a component of an equipment component library, and a fault mode library, and determine fault diagnosis information corresponding to the soft measurement calculation point, where a fault mode of the fault mode library unit includes: fault diagnosis information;
the transverse business middle station module 140 is configured to establish a unified user organization architecture system of the intelligent power station middle station based on the transverse data middle station module and the transverse knowledge middle station module, so as to provide business services for users based on the organization architecture system;
a vertical service center module 150 for each horizontal center module to call through the micro service cluster, the horizontal center module comprising: the transverse data middle stage module, the transverse model middle stage module, the transverse knowledge middle stage module and the transverse business middle stage module.
Specifically, the intelligent power station center system includes five horizontal center modules and a vertical service center module, and the vertical service center module is used for providing service call to each horizontal data center module through a micro service cluster, wherein the micro service cluster may include: data standard service, data coding service, model template service, measuring point library service, component library service, fault mode service and business engine service. And each transverse middle platform module realizes each function by calling each service in the micro-service cluster, and eliminates information island among modularization.
The device comprises a transverse data center module, a longitudinal service center module, a transverse data center module and a transverse data center module, wherein the transverse data center module is used for bearing the data center function of a smart power station center system, collecting the device data and the production data of each device in the smart power station, carrying out standardized processing on the production data by calling the longitudinal service center module, carrying out coding processing on the device data, and storing the standardized production data and the coded device data so as to realize that other transverse center modules acquire and use the data through transverse data blocks. Meanwhile, the method is also used for storing intermediate calculation points and soft measurement calculation points generated by the middle stage module in the model, and providing the intermediate calculation points and the soft measurement calculation points for the middle stage module in the transverse knowledge to carry out knowledge matching. An intermediate computing point may be considered a collection for storing intermediate computing data; the soft measurement computation point may be considered as a collection of soft measurement data that is stored based on intermediate computation data.
The transverse model middle station module is used for establishing an equipment model based on the coded equipment data, calling the equipment model through the longitudinal service middle station module, and calculating the standardized production data based on the equipment model to obtain an intermediate calculation point and a soft measurement calculation point; and sending the intermediate calculation point and the soft measurement calculation point to a transverse data center module for storage.
And the transverse knowledge center module is used for matching the soft measurement calculation points in the transverse data center module with the fault modes of the measuring points of the measuring point library, the components of the equipment component library and the fault mode library through the longitudinal service center module, determining fault diagnosis information under the fault mode corresponding to the soft measurement calculation points and finishing the mapping relation from the measuring point library to the fault knowledge.
The transverse business middle platform module is used for establishing a user organization architecture system based on the transverse data middle platform module and the transverse knowledge middle platform module, so that each business platform in the intelligent power station middle platform system can log in the system based on the same account number password, and service is provided for users based on the organization architecture system.
And the longitudinal service center module establishes a micro service cluster to execute the function call of each module by constructing a micro service assembly so as to realize service processing. The micro-service architecture has flexibility, compatibility, security, scalability, and configurability.
According to the technical scheme, through the intelligent power station middle platform system integrating the transverse data middle platform module, the transverse business middle platform module, the transverse model middle platform module, the transverse knowledge middle platform module and the longitudinal service middle platform module, longitudinal sharing among the transverse data middle platform module, the transverse business middle platform module, the transverse model middle platform module and the transverse knowledge middle platform module can be realized, services are provided for each transverse middle platform module through the service module, fusion and intercommunication among the modules are realized, information island is eliminated, and intelligent operation level is improved.
Optionally, the micro service cluster includes: data standard service, data coding service, model template service, measuring point library service, component library service, fault mode service and service engine service;
the data standard service is used for providing data standard service for the transverse data center module;
the data encoding service is configured to provide a data encoding service to the lateral data center module, where the data encoding is configured to encode device data based on a data type, and the data type includes: system attribution, data source and data object;
a model calling service for providing an equipment model to the transverse model middle platform module; establishing at least one equipment tree based on the coding equipment data and the standardized production data provided by the transverse data center platform module, determining a general modeling template corresponding to each equipment in each equipment tree, and establishing each equipment model based on the general modeling template;
the measuring point library service is used for providing a measuring point library for the transverse knowledge center module;
a component library service for providing a device component library to the lateral knowledge center module;
the fault mode service is used for providing a fault mode library for the transverse knowledge center module;
the service engine service is used for providing the service engine for the transverse service center module.
The micro service cluster is composed of multiple types of micro services, and each type of micro service provides service contents for function call, background execution and transaction processing of each transverse module.
Specifically, the middle-micro service cluster of the longitudinal service middle-stage module can provide data standard service for the transverse data middle-stage module, perform standardization processing on production data collected by the transverse data middle-stage module, and provide data coding service for the transverse data middle-stage module, so that the transverse middle-stage module codes equipment data based on data types. The model call service provided by the micro service cluster can establish at least one equipment tree based on the coding equipment data and the standardized production data provided by the transverse data middle platform module, determine a general modeling template corresponding to each equipment in each equipment tree, and establish each equipment model based on the general modeling template, so as to provide the equipment model for the transverse model middle platform module, so that the transverse model middle platform module calculates the standardized production data based on the equipment model, and integrate templates of the general equipment model in a labeled manner, thereby realizing replicable and extensible models and algorithms. The microservice cluster also provides a survey point library service, a component library service, a failure mode service, and a business engine service.
For example, the component library can divide the components of the condensate pump device in a level, can establish the same-level component nodes in parallel, downwards establish the sub-component nodes, establish the condensate pump component library architecture, and provide the function of flexibly establishing the condensate pump component library; the measuring point library can extract corresponding component fault characteristic point information according to the physical characteristics of the condensate pump component, and extract fault auxiliary point information according to the condensate pump characteristic point information. The fault mode library can digitally mirror the condensate pump components and comb the fault mode templates. The fault mode template corresponds to a plurality of measuring points of the condensate pump component, the fault mode sets judging conditions for the plurality of measuring points of the component respectively, when the judging conditions of the plurality of measuring points are coupled to be unique conditions, the fault mode is determined corresponding to the carding fault information, further fault diagnosis information under the fault mode is given, each piece of fault information corresponds to fault knowledge, and the fault knowledge comprises basic attribute fields such as fault name, fault code, fault phenomenon, fault reason, fault processing method and the like.
Illustratively, taking condensate pump equipment in a smart power plant as an example, the equipment data may include equipment base information data and condensate pump bearing and motor vibration data. Taking a condensate pump of a 300MW thermal power generating unit as an example, the equipment data of the condensate pump are shown in Table 1.
TABLE 1
The production data of different condensate pump devices are generally different, taking a condensate pump body of a 300MW thermal power generating unit as an example, and the collected production data are shown in table 2.
TABLE 2
For example, a method of normalizing production data may include: and establishing a data standard of a station system in the power station through the basic data supporting layer, the data interface access layer, the data fusion unifying layer and the data output and supply layer, and standardizing production data based on the data standard.
And the data standard unit interface mode uniformly adopts a restful mode. The basic data support layer provides an algorithm package list, and the information comprises an algorithm name, an algorithm description, an algorithm input format description, an algorithm result output format description and an access address. The data interface access layer provides an algorithm API interface based on Restful standard, the input and output of the algorithm adopts standardized JSON format, and an algorithm joint debugging DEMO interface is provided. The data fusion unification layer fuses different system data of intelligent power station condensate pump equipment into a data center rule coding system, constructs a framework, a user, a department, an equipment tree, equipment information, a specialty, a process, a standard and a specification required by the data center by rule classification and unifies data standards and apertures, designs and manages the condensate pump data, realizes collection, storage, soft measurement, analysis and diagnosis of mass data, and provides data efficient service for condensate pump equipment managers. And the data output and supply layer is used for providing a data interface according to the data standard of the same layer.
Illustratively, taking intelligent power station condensate pump equipment data as an example, the equipment data may be encoded as:
(1) The system attribution code segment is divided into a whole plant attribution level, a professional attribution and a system name. The whole factory code segment is the acronym of the factory name; the value of the code segment of the home hierarchy of the unit is UINT1-UINT12; the professional attribution code section takes a value of T, B, S, C, W, D, wherein T represents a steam turbine professional, B represents a boiler professional, S represents an electrical professional, C represents a thermal professional, W represents a water-chemical professional, and D represents a desulfurization professional; the system name code segment takes the value of system abbreviation. The code segments are connected by a 'connection'. The condensed water pump attribution code section is a No. 1 unit level, a turbine professional and condensed water system, and the code section is UNIT1.S.CS.
(2) The data type code segments are divided into data types and database sources. The data type code segment takes a value of RTD, IMD, OFD, VIB, INR, PAR, FIL, VID, VOI, wherein RTD represents production real-time data, IMD represents information data, OFD represents offline data, VIB represents vibration data, INR represents infrared data, PAR represents partial discharge data, FIL represents file data, VID represents video data, and VOI represents sound data. The source code segment of the database takes the value of OP, SQL, MYSQL, MANGODB and other database abbreviations. The real-time data code section of condensate pump production is RTD.OP, and the condensate pump information data code section is IMD.SQL.
(3) The data object code segment is divided into original codes, machine group names, equipment names, information or side roll names. The pressure object code section of the outlet of the condensate pump measuring point is 50LCB10CP001
Through the coding rule unit, extraction and classification of other field information can be realized through any field of the integral coding, the rule coding is used as the basis of data query and application of a data center, the data storage position is accurately determined, and the required data is efficiently extracted. Therefore, the code of the condensate pump outlet pressure measuring point is UNIT1.S.CS.IMD.SQL.50LCB10CP001, and the information and data of each field of UNIT1, S, CS, IMD, SQL and 50LCB10CP001 can be extracted through the code.
Optionally, the model invoking service includes: intermediate computing point algorithm service and soft measurement computing point algorithm service;
the intermediate computing point algorithm service is used for computing the standardized production data based on a preset algorithm in the first equipment model to obtain an intermediate computing point;
the soft measurement computing point algorithm service is used for computing the intermediate computing points based on the second equipment model to obtain soft measurement computing points.
The first equipment model and the second equipment model can be equipment models established based on collected condensate pump equipment data in the intelligent power station respectively.
Taking intelligent power station condensate pump equipment data as an example, the production data of the standardized condensate pump equipment are calculated based on a preset algorithm in a first equipment model to obtain intermediate calculation points, wherein the intermediate calculation points are a set formed by the calculated intermediate calculation data. The intermediate calculation points are calculated based on the second equipment model to obtain soft measurement calculation points, wherein the soft measurement calculation points are a set formed by the calculated soft measurement calculation data.
Optionally, the business engine service includes:
the system unification unit is used for establishing a user organization architecture system unifying all business systems based on the data provided by the transverse data center module and the fault diagnosis knowledge provided by the transverse knowledge center module;
the service implementation unit is configured to provide service content to each service platform in each service system based on the user organization architecture system, where the service content includes: service entry, service allocation, service status identification;
the service management unit is configured to perform unified management or individual management on each service platform in each service system based on the user organization architecture system, where the management includes: opening a service, closing the service and updating the service;
a message notification unit, configured to distribute a message notification to each service system based on the user organization architecture system;
and the dictionary service unit is used for providing data inquiry for each transverse middle platform module based on the data dictionary.
Specifically, the system unification unit can establish a user organization architecture system of the intelligent power station middle platform system based on the data provided by the transverse data middle platform module and the fault diagnosis knowledge provided by the transverse knowledge middle platform module, unify all service platforms in different service systems, and realize single account password login of the intelligent power station whole factory whole system. The service realizing unit can distribute services according to power plants, departments, professions, roles, authorities and personal information based on a user organization architecture system, realize all-service to-do, done and completed workflows, and can classify according to different attributes such as system category, service type, service name, service attribution, service time and the like; the service management unit can realize the whole scheduling of the updating, closing or opening service of each service platform in each service system, and can also realize the block control scheduling of the independent updating, closing and opening service of each service platform in each service system. The message notification unit can distribute message notifications to the service systems based on a user organization architecture system; the dictionary service unit is used for establishing a data dictionary based on the data in the transverse data center module, providing data inquiry for each transverse center module, providing management function of a system global data dictionary base, and providing functions of adding, deleting and modifying the data dictionary for the list display field information including sequence numbers, dictionary codes and dictionary names, and supporting the combined inquiry according to the dictionary codes and the dictionary names.
Optionally, the lateral knowledge center module includes:
the measuring point library service interface is used for calling the measuring point library micro-service provided by the longitudinal service center module;
the component library service interface is used for calling the component library micro-service provided by the longitudinal service center module;
the fault mode service interface is used for calling the fault mode micro-service provided by the longitudinal service center module.
The transverse knowledge center platform module is provided with a measuring point library service interface, a component library service interface and a fault mode service interface, and is used for calling the measuring point library micro-service provided by the longitudinal knowledge center platform module through the measuring point library service interface; invoking the component library micro-service provided by the longitudinal service center module through the component library service interface; and calling the fault mode micro-service provided by the longitudinal service center module through the fault mode service interface.
In one embodiment, the lateral knowledge center module is specifically configured to:
calling a measuring point library service of the longitudinal service center module through a measuring point library service interface, and matching soft measurement calculation points in the transverse data center module with measuring points of a measuring point library unit to determine corresponding components of the measuring points;
calling a component library service of the longitudinal service center module through a component library service interface, and matching the component with a device component library unit component to determine a device corresponding to the component;
and calling the fault mode service of the longitudinal service center module through a fault mode service interface, and determining fault diagnosis information contained in the fault mode of the equipment.
Specifically, the measuring point library may include components corresponding to each measuring point, and the components corresponding to the measuring points are determined by matching the soft measurement calculation points in the transverse data center module with the measuring points of the measuring point library unit based on the measuring point library service of the longitudinal service center module; based on the component library service of the longitudinal service center module, matching the components with the equipment component library unit components to determine equipment corresponding to the components; based on the failure mode service of the longitudinal service center module, failure diagnosis information contained in the failure mode of the device is determined. Therefore, the fault diagnosis information corresponding to the soft measurement calculation point can be determined by calling the service provided by the longitudinal service center module through the transverse center module.
For example, the component library can divide the components of the condensate pump device in a level, can establish the same-level component nodes in parallel, downwards establish the sub-component nodes, establish the condensate pump component library architecture, and provide the function of flexibly establishing the condensate pump component library; the measuring point library can extract corresponding component fault characteristic point information according to the physical characteristics of the condensate pump component, and extract fault auxiliary point information according to the condensate pump characteristic point information. The fault mode library can digitally mirror the condensate pump components and comb the fault modes. The fault mode corresponds to a plurality of measuring points of the condensate pump component, judging conditions are respectively set for the plurality of measuring points of the component, when the judging conditions of the plurality of measuring points are coupled to be unique conditions, the fault mode is determined corresponding to the carding fault information, further fault diagnosis information under the fault mode is given, each piece of fault information corresponds to fault knowledge, and the fault knowledge comprises basic attribute fields such as fault names, fault codes, fault phenomena, fault reasons, fault processing methods and the like.
Optionally, the transverse data center module includes:
a data sharing unit, configured to store and share target data through a shared data resource pool, where the target data includes: the standardized equipment data, the standardized production data, the intermediate calculation points, the soft measurement calculation points;
the data standard micro-service interface is used for calling the data standard micro-service provided by the longitudinal service center module;
and the data coding micro-service interface is used for calling the data coding micro-service provided by the longitudinal service center module.
Illustratively, taking condensate pump equipment in a smart power station as an example, the data acquisition unit acquires equipment data and production data on line through a data acquisition device established on site at the power station. The device data may include device base information data and condensate pump bearing and motor vibration data. Calling a data standard micro service provided by a longitudinal service center module through a data standard micro service interface to realize standardized processing of production data; and calling the data coding micro-service provided by the longitudinal service center station module through the data coding micro-service interface to code the equipment data. The data standard micro-service interface and the data coding micro-service interface can adopt a Restful mode for output; providing an integrated component of the SSO and a data interface of a user and an organization framework; providing a standardized user selector and a department selector to the outside, and supporting multiple selections of users; providing a data selector function, and providing relation data and a measuring point selector; providing a read, write and delete interface of Openplant database data; providing a read data interface of the relational data; and providing a new and added event query interface.
And the transverse data center module establishes a power station center system shared data resource pool unit, integrates power station data resources through a data warehouse, and provides data support for top-level application by shared data. And correspondingly storing the coding equipment data and the standardized production data through a relational database in the shared data resource pool. In addition, the shared data resource pool provided by the data sharing unit is also used for storing intermediate calculation points and soft measurement calculation points obtained by calculating the middle platform module based on the coding equipment data and the standardized production data in the transverse algorithm.
Optionally, the transverse service center module includes:
and the business engine service interface is used for calling the business engine micro-service provided by the longitudinal service center module.
Specifically, the business engine service is used for providing the engines required for developing business to each transverse module.
Optionally, the method further comprises:
the state monitoring module is used for monitoring the equipment state and the equipment production data on line;
the event center module is used for monitoring equipment events on line and executing event flow closed-loop management.
Illustratively, taking a smart power station of the condensate pump apparatus as an example, the status monitoring module may monitor condensate pump status information and condensate pump production data on-line.
For example, taking 300MW thermal power generating unit condensate pump event processing as an example, as shown in fig. 2, closed loop management and control of condensate pump events is completed through process approval flow control of different role authorities such as point inspectors, overhaulers, point inspection lengths, auxiliary principals, principal leaders and the like. After the event triggering of the condensate pump, the event triggering is directly a condensate pump point inspector agent event, and four processing modes and two notification modes exist.
The four processing modes comprise: submitting a manager, generating a defect list, generating a project to be overhauled and closing an event. After the manager submits the next step, the circulation and approval can be carried out through different roles such as the condensate pump spot check length, the auxiliary principal, the leader and the like. After the defect list is generated, the defect list can enter an overhaul management system to overhaul the fault of the condensate pump on site and feed back a closed-loop closing event. After generating the project to be overhauled, the project proposal to be overhauled of the condensate pump can be entered, the overhauling content and the time proposal of the condensate pump can be checked and revised, and the project to be overhauled of the condensate pump in the next overhauling plan can be juxtaposed. After a shutdown event, the event may be directly shutdown.
The two notification modes comprise: the common event informs the condensate pump maintainer, the maintainer manager, the condensate pump spot inspector and the spot inspection length, and the serious event informs the condensate pump maintainer, the maintainer manager, the condensate pump spot inspector, the spot inspection length, the auxiliary principal, the principal and the principal leader. And finally, the event management flow is terminated by taking event closing as a termination, and the closed-loop control of event processing is completed.
In a specific example, as shown in fig. 3, taking a smart power station center system of a condensate pump device as an example, acquiring data through a site condensate pump sensor and a hardware terminal, performing standardization processing through a transverse data center module, sending the processed data to a transverse model center module, and inputting the processed data to each analysis model for analysis to obtain analysis data; the analytical model may include: bearing vibration analysis model, performance degradation analysis model, cavitation analysis model, early warning analysis model and deviation working condition analysis model; and providing business services for users in the transverse business middle platform module based on the analysis data and fault diagnosis knowledge provided by the transverse knowledge middle platform module based on the component library, the measuring point library and the mode library.
Note that the above is only a preferred embodiment of the present invention and the technical principle applied. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, while the invention has been described in connection with the above embodiments, the invention is not limited to the embodiments, but may be embodied in many other equivalent forms without departing from the spirit or scope of the invention, which is set forth in the following claims.

Claims (5)

1. An intelligent power station center system, comprising:
the transverse data center module is used for acquiring equipment data and production data of each equipment in the intelligent power station, carrying out coding processing on the equipment data through the longitudinal service center module and carrying out standardization processing on the production data; storing intermediate calculation points and soft measurement calculation points generated by a middle platform module of the transverse model, and providing the intermediate calculation points and the soft measurement calculation points for the middle platform module of the transverse knowledge to perform knowledge matching;
the transverse model middle platform module is used for calling an equipment model through the longitudinal service middle platform module, and calculating standardized production data based on the equipment model to respectively obtain an intermediate calculation point and a soft measurement calculation point; transmitting the intermediate calculation point and the soft measurement calculation point to the transverse data center station module; the equipment model is built based on the coded equipment data;
the transverse knowledge center module is used for matching the soft measurement calculation points in the transverse data center module with the fault modes of the measuring points of the measuring point library, the components of the equipment component library and the fault mode library through the longitudinal service center module, and determining fault diagnosis information corresponding to the soft measurement calculation points, and the fault mode library comprises: fault diagnosis information corresponding to each fault mode;
the transverse business middle station module is used for establishing an intelligent power station middle station unified user organization architecture system based on the transverse data middle station module and the transverse knowledge middle station module so as to provide business services for users based on the organization architecture system;
the system comprises a longitudinal service center module, a transverse center module and a service call module, wherein the longitudinal service center module is used for providing service call for each transverse center module through a micro service cluster, and the transverse center module comprises: the transverse data middle stage module, the transverse model middle stage module, the transverse knowledge middle stage module and the transverse business middle stage module;
wherein the micro service cluster comprises: data standard service, data coding service, model calling service, measuring point library service, component library service, fault mode service and business engine service;
the model calling service is used for providing an equipment model for the transverse model middle platform module; establishing at least one equipment tree based on the coding equipment data and the standardized production data provided by the transverse data center platform module, determining a general modeling template corresponding to each equipment in each equipment tree, and establishing each equipment model based on the general modeling template;
wherein the model invocation service comprises: intermediate computing point algorithm service and soft measurement computing point algorithm service;
the intermediate computing point algorithm service is used for computing the standardized production data based on a preset algorithm in the first equipment model to obtain an intermediate computing point;
the soft measurement calculation point algorithm service is used for calculating the intermediate calculation points based on a preset algorithm of the second equipment model to obtain soft measurement calculation points;
wherein the intermediate computing point is a set for storing intermediate computing data; the soft measurement computing points are a set of soft measurement data obtained based on intermediate computing data;
the data standard service is used for providing data standard service for the transverse data center module;
the data encoding service is configured to provide a data encoding service to the lateral data center module, where the data encoding is configured to encode device data based on a data type, and the data type includes: system attribution, data source and data object;
the measuring point library service is used for providing a measuring point library for the transverse knowledge center module;
a component library service for providing a device component library to the lateral knowledge center module;
the fault mode service is used for providing a fault mode library for the transverse knowledge center module;
the service engine service is used for providing a service engine for the transverse service center module;
wherein, the lateral knowledge center module includes:
the measuring point library service interface is used for calling the measuring point library micro-service provided by the longitudinal service center module;
the component library service interface is used for calling the component library micro-service provided by the longitudinal service center module;
the fault mode service interface is used for calling fault mode micro-service provided by the longitudinal service center module;
the lateral knowledge center module is specifically configured to:
calling a measuring point library service of the longitudinal service center module through a measuring point library service interface, and matching soft measurement calculation points in the transverse data center module with measuring points of a measuring point library unit to determine corresponding components of the measuring points;
calling a component library service of the longitudinal service center module through a component library service interface, and matching the component with a device component library unit component to determine a device corresponding to the component;
calling the fault mode service of the longitudinal service center module through a fault mode service interface, and determining fault diagnosis information contained in a fault mode of equipment;
wherein, the horizontal data center station module includes:
a data sharing unit, configured to store and share target data through a shared data resource pool, where the target data includes: the standardized equipment data, the standardized production data, the intermediate calculation points, the soft measurement calculation points;
the data standard micro-service interface is used for calling the data standard micro-service provided by the longitudinal service center module;
and the data coding micro-service interface is used for calling the data coding micro-service provided by the longitudinal service center module.
2. The system of claim 1, wherein the business engine service comprises:
the system unification unit is used for establishing a user organization architecture system unifying all business systems based on the data provided by the transverse data center module and the fault diagnosis knowledge provided by the transverse knowledge center module;
the service implementation unit is configured to provide service content to each service platform in each service system based on the user organization architecture system, where the service content includes: service entry, service allocation, service status identification;
the service management unit is configured to perform unified management or individual management on each service platform in each service system based on the user organization architecture system, where the management includes: opening a service, closing the service and updating the service;
a message notification unit, configured to distribute a message notification to each service system based on the user organization architecture system;
and the dictionary service unit is used for providing data inquiry for each transverse middle platform module based on the data dictionary.
3. The system of claim 1, wherein the transverse model mid-table module comprises:
the model calling service interface is used for calling the model calling micro-service provided by the longitudinal service center module;
the intermediate computing point algorithm service interface is used for calling the intermediate computing point algorithm micro-service provided by the longitudinal service center module;
the soft measurement computing point algorithm service interface is used for calling the soft measurement computing point algorithm micro-service provided by the longitudinal service center module.
4. The system of claim 1, wherein the transverse service center module comprises:
and the business engine service interface is used for calling the business engine micro-service provided by the longitudinal service center module.
5. The system of claim 1, further comprising:
the state monitoring module is used for monitoring the equipment state and the equipment production data on line;
the event center module is used for monitoring equipment events on line and executing event flow closed-loop management.
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