CN114218724A - Model construction method, device and system for power secondary system and storage medium - Google Patents
Model construction method, device and system for power secondary system and storage medium Download PDFInfo
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Abstract
The invention discloses a model construction method, a device and a system of a power secondary system and a storage medium. Wherein, the method comprises the following steps: acquiring equipment information of all equipment in the power secondary system; classifying all the devices based on the basic information to obtain secondary classification results of all the devices; constructing an equipment resource model according to the secondary classification result and the standing book information; expanding a processing equipment resource model according to the incidence relation information to obtain an equipment relation model; on the basis of the equipment relation model, the real-time monitoring information of all the equipment is collected, and the equipment monitoring model is constructed on the basis of the real-time monitoring information. The invention solves the technical problems of incomplete monitoring information and poor monitoring effect of the electric power secondary system model caused by the lack of correlation among the electric power secondary system models of various services in the prior art.
Description
Technical Field
The invention relates to the technical field of model construction, in particular to a method, a device and a system for constructing a model of a power secondary system and a storage medium.
Background
With the continuous improvement of a dispatching automation technology support system, an intelligent monitoring system is arranged aiming at different monitored objects. For example, an on-duty alarm system, a network security management platform, and the like, due to continuous development and innovation of automation equipment and continuous application of an IT new technology, fine management of the equipment and control of system operation situation become more and more difficult, and in order to improve the safety operation level of the automation system and the equipment, the automation system and the equipment need to be uniformly modeled, so that uniform monitoring, linkage analysis and intelligent control of the automation system and the equipment are realized.
The model construction method of the power primary system in the prior art is relatively perfect, but the power secondary system is various and lacks a unified modeling method. The existing power secondary system model is mainly a model built for self business, various businesses have a model library of the model, monitoring and maintenance of equipment within a self business range are mostly considered during model monitoring and maintenance, monitoring information is incomplete, and the power secondary system model from the correlation angle among the businesses is lacked. In addition, because various services adopt power secondary system models with different temperatures, when the working conditions of a plurality of power secondary system models are monitored simultaneously, the switching operation of a display interface needs to be frequently carried out, and the monitoring efficiency is low.
In view of the above problems, no effective solution has been proposed.
Disclosure of Invention
The embodiment of the invention provides a model construction method, a device, a system and a storage medium of an electric power secondary system, which at least solve the technical problems of incomplete monitoring information and poor monitoring effect of the electric power secondary system model caused by the lack of correlation among electric power secondary system models of various services in the prior art.
According to an aspect of an embodiment of the present invention, there is provided a model construction method of a power secondary system, including: the method comprises the following steps of collecting equipment information of all equipment in an electric power secondary system, wherein the electric power secondary system comprises a plurality of electric power secondary subsystems, and the equipment information comprises: basic information, ledger information, and association relation information of all the above devices; classifying all the devices based on the basic information to obtain secondary classification results of all the devices; and constructing an equipment resource model according to the secondary classification result and the standing book information, wherein the standing book information at least comprises: the component elements, the installation positions and the commissioning time of all the devices; and performing expansion processing on the equipment resource model according to the association relationship information to obtain an equipment relationship model, wherein the association relationship information comprises: the device attribution relation information, the network topology relation information and the service association relation information; and on the basis of the equipment relation model, acquiring the real-time monitoring information of all the equipment, and constructing an equipment monitoring model based on the real-time monitoring information.
Optionally, classifying all the devices based on the basic information to obtain a secondary classification result of all the devices, including: performing primary classification processing on all the devices based on the basic information and the service types of all the devices to obtain a primary classification result, wherein the service types at least comprise: the system comprises a scheduling master station, a transformer substation, safety protection and a scheduling data network; and performing secondary classification processing on the primary classification result according to the equipment types of all the equipment to obtain a secondary classification result, wherein the equipment types at least comprise: a container device, a hardware device, and a software device.
Optionally, the container apparatus at least comprises: the system comprises an automatic main station system, an automatic plant station system, a data network, a safety protection system, an automatic machine room and an automatic cabinet; the hardware equipment at least comprises computer equipment, network equipment, safety protection equipment, plant station automation equipment and automation auxiliary equipment; the software equipment at least comprises an operating system, a database, middleware, an application software package, application software, an application program and a service module.
Optionally, the obtaining the ledger information includes: establishing a connection relation between the model base and the regulation cloud database; and based on the connection relation, regularly synchronizing the standing book information from the regulation and control cloud database to a target server, wherein the target server is used for constructing the power secondary system model by adopting the standing book information.
Optionally, the obtaining of the association relationship information includes: acquiring relation information of target formats from the plurality of power secondary subsystems; and analyzing the relationship information to obtain the association relationship information, wherein the association relationship information is stored in a pre-constructed model library.
Optionally, the device attribution relationship is obtained by adding an attribution field to the device object table to associate all the devices; the network topology relation information is obtained by establishing a network connection table and a network port table to associate all the devices; the service association relation information is obtained by associating all the devices by constructing a service association table, wherein the service association table at least comprises a first service field, a second service field and an association relation field.
Optionally, expanding the device resource model according to the association relationship information to obtain a device relationship model, further comprising: detecting whether the association relation information has target relation information or not, wherein the target relation information is relation information without an association source; and if the detection result is yes, adding the relationship information without the correlation source to the equipment resource model to obtain the equipment relationship model.
According to another aspect of the embodiments of the present invention, there is also provided a model building system of a power secondary system, including: the data acquisition unit is used for acquiring equipment information of all equipment in an electric power secondary system, wherein the electric power secondary system comprises a plurality of electric power secondary subsystems, and the equipment information comprises: basic information, ledger information, and association relation information of all the above devices; the equipment classification unit is used for classifying all the equipment based on the basic information to obtain secondary classification results of all the equipment; and the equipment resource model building unit is used for building an equipment resource model according to the secondary classification result and the standing book information, wherein the standing book information at least comprises: the component elements, the installation positions and the commissioning time of all the devices; an equipment relationship model building unit, configured to perform expansion processing on the equipment resource model according to the association relationship information to obtain an equipment relationship model, where the association relationship information includes: the device attribution relation information, the network topology relation information and the service association relation information; and the equipment monitoring model building unit is used for collecting the real-time monitoring information of all the equipment on the basis of the equipment relation model and building an equipment monitoring model based on the real-time monitoring information.
According to another aspect of the embodiments of the present invention, there is also provided a model building apparatus for a power secondary system, including: the collection module is used for collecting equipment information of all equipment in an electric power secondary system, wherein the electric power secondary system comprises a plurality of electric power secondary subsystems, and the equipment information comprises: basic information, ledger information, and association relation information of all the above devices; the classification module is used for classifying all the devices based on the basic information to obtain secondary classification results of all the devices; a first building module, configured to build an equipment resource model according to the secondary classification result and the standing book information, where the standing book information at least includes: the component elements, the installation positions and the commissioning time of all the devices; a second building module, configured to perform expansion processing on the device resource model according to the association relationship information to obtain a device relationship model, where the association relationship information includes: the device attribution relation information, the network topology relation information and the service association relation information; and the third construction module is used for acquiring the real-time monitoring information of all the equipment on the basis of the equipment relation model and constructing an equipment monitoring model based on the real-time monitoring information.
According to another aspect of the embodiments of the present invention, there is also provided a non-volatile storage medium storing a plurality of instructions, the instructions being adapted to be loaded by a processor and to execute any one of the above-described model building methods for a power secondary system.
According to another aspect of the embodiments of the present invention, there is also provided an electronic device including a memory in which a computer program is stored and a processor configured to execute the computer program to perform any one of the above-described model construction methods for a power secondary system.
In an embodiment of the present invention, by collecting device information of all devices in an electric power secondary system, where the electric power secondary system includes a plurality of electric power secondary subsystems, the device information includes: basic information, ledger information, and association relation information of all the above devices; classifying all the devices based on the basic information to obtain secondary classification results of all the devices; and constructing an equipment resource model according to the secondary classification result and the standing book information, wherein the standing book information at least comprises: the component elements, the installation positions and the commissioning time of all the devices; and performing expansion processing on the equipment resource model according to the association relationship information to obtain an equipment relationship model, wherein the association relationship information comprises: the device attribution relation information, the network topology relation information and the service association relation information; on the basis of the equipment relation model, the real-time monitoring information of all the equipment is collected, the equipment monitoring model is constructed based on the real-time monitoring information, the purpose of establishing an integrated power secondary system model related to each service system is achieved, comprehensive monitoring on the power secondary systems of all services is achieved, the technical effect of the monitoring effect of the power secondary system model is improved, and the technical problems that due to the fact that the relevance is lacked among the power secondary system models of all the services in the prior art, the monitoring information of the power secondary system model is incomplete and the monitoring effect is poor are solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the invention and together with the description serve to explain the invention without limiting the invention. In the drawings:
fig. 1 is a flowchart of a model construction method of an electric power secondary system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of an alternative device affiliation according to an embodiment of the invention;
FIG. 3 is a schematic diagram of an alternative network connection relationship according to an embodiment of the invention;
FIG. 4 is a schematic diagram of an alternative business association relationship according to an embodiment of the present invention;
FIG. 5 is a flow chart of an alternative method of modeling a power secondary system according to an embodiment of the present invention;
FIG. 6 is a schematic diagram of an alternative device class according to an embodiment of the present invention;
FIG. 7 is a schematic illustration of an alternative monitoring data acquisition according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a model construction system of an electric power secondary system according to an embodiment of the present invention;
fig. 9 is a schematic structural diagram of a model building apparatus of a power secondary system according to an embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example 1
In the prior art, less schemes are used for the integrated modeling of the power secondary system, model building is mainly performed on various services independently, expansibility is lacked, and the method is difficult to be applied to the whole secondary system. In the partial scheme, secondary equipment is combined with a power grid primary model, a data model, a resource model and a dependency relationship model are provided, the unified establishment of the secondary equipment model is explored, and the multi-stage classification of the equipment, the deep analysis of the process relationship and the data construction mode are not considered; some solutions perform modeling description of data objects for automation equipment objects, describe structures of the automation equipment data objects, and association relations among the data objects, the contents include automation related equipment such as computer equipment, network equipment, security equipment, software, etc., plant secondary equipment such as merging units, etc., and distribution automation terminal equipment, etc., although the solutions specify basic modeling of the automation equipment in detail, business association relations and measurement information are not considered.
In view of the above problems, it is noted that the steps illustrated in the flowchart of the drawings may be performed in a computer system such as a set of computer-executable instructions, and that while a logical order is illustrated in the flowchart, in some cases the steps illustrated or described may be performed in an order different than here.
Fig. 1 is a flowchart of a model construction method of an electric power secondary system according to an embodiment of the present invention, as shown in fig. 1, the method including the steps of:
step S102, collecting equipment information of all equipment in an electric power secondary system, wherein the electric power secondary system comprises a plurality of electric power secondary subsystems, and the equipment information comprises: basic information, ledger information, and association relation information of all the above devices;
step S104, classifying all the devices based on the basic information to obtain secondary classification results of all the devices;
step S106, constructing an equipment resource model according to the secondary classification result and the standing book information, wherein the standing book information at least comprises: the component elements, the installation positions and the commissioning time of all the devices;
step S108, expanding and processing the equipment resource model according to the incidence relation information to obtain an equipment relation model, wherein the incidence relation information comprises: the device attribution relation information, the network topology relation information and the service association relation information;
and step S110, collecting the real-time monitoring information of all the equipment on the basis of the equipment relation model, and constructing an equipment monitoring model on the basis of the real-time monitoring information.
Optionally, the device attribution relationship is obtained by adding an attribution field in a device object table to associate all the devices; the network topology relation information is obtained by establishing a network connection table and a network port table to associate all the devices; the service association relation information is obtained by associating all the devices by constructing a service association table, wherein the service association table at least comprises a first service field, a second service field and an association relation field.
Optionally, the device resource model is configured to record device ledger information of all the devices; the equipment relation model is used for describing the incidence relation among the equipment; the equipment monitoring model is used for acquiring the running states of all the equipment.
Optionally, when the power resource model is constructed, a typical parameter table is created for an automation master station system, an automation plant station system, a computer device, a network device, a security protection device, a plant station automation device, an operating system, a database, middleware, and an application software package, and a field is added to the original table to reference the typical parameter table.
Optionally, the resource model is used for recording equipment account information, and the equipment resource model is constructed based on the attribute information of various automatic equipment in the electric power secondary system regulated and controlled by the holder account. The attribute information includes information such as component elements, installation positions, and commissioning time of all the devices, and for example, a server resource model, a field in the server resource model includes information such as a CPU core number, a CPU dominant frequency, a disk capacity, a firmware version, an installation location, a device model, and a network port number.
In an embodiment of the present invention, by collecting device information of all devices in an electric power secondary system, where the electric power secondary system includes a plurality of electric power secondary subsystems, the device information includes: basic information, ledger information, and association relation information of all the above devices; classifying all the devices based on the basic information to obtain secondary classification results of all the devices; and constructing an equipment resource model according to the secondary classification result and the standing book information, wherein the standing book information at least comprises: the component elements, the installation positions and the commissioning time of all the devices; and performing expansion processing on the equipment resource model according to the association relationship information to obtain an equipment relationship model, wherein the association relationship information comprises: the device attribution relation information, the network topology relation information and the service association relation information; on the basis of the equipment relation model, the real-time monitoring information of all the equipment is collected, the equipment monitoring model is constructed based on the real-time monitoring information, the purpose of establishing an integrated power secondary system model related to each service system is achieved, comprehensive monitoring on the power secondary systems of all services is achieved, the technical effect of the monitoring effect of the power secondary system model is improved, and the technical problems that due to the fact that the relevance is lacked among the power secondary system models of all the services in the prior art, the monitoring information of the power secondary system model is incomplete and the monitoring effect is poor are solved.
Optionally, a typical resource model may be set for a resource model with relatively fixed part of attribute information, for example, for an electric power device with relatively fixed attribute information, such as an automation master station system, an automation plant station system, a computer device, a network device, a safety protection device, a plant station automation device, an operating system, a database, a middleware, an application software package, etc., the typical resource model is respectively created, and a typical resource model reference field is added in an original device resource model, so as to achieve the purpose of reducing filling of repeated information of the original device resource model, and further achieve the technical effect of improving the device resource model construction efficiency.
Optionally, the association relationship information includes: the device attribution relation information, the network topology relation information and the service association relation information. In terms of hardware devices, network cards belong to a server, a workstation, storage devices, a switch, a firewall and the like, devices such as the server belong to an automation cabinet, the automation cabinet belongs to an automation machine room, and the automation machine room belongs to a regulation and control center; in the aspect of software equipment, a process belongs to an application, an operating system, a database and middleware belong to a logic node, the logic node belongs to a master station system, and the master station system belongs to a regulation and control center. The affiliation is associated by adding an affiliation field in the device resource model table.
Optionally, the network topology relationship is used to represent a topology connection relationship among the IT device, the network device, and the power grid secondary device, so as to describe the topology connection relationship, the network topology relationship is associated by constructing a network connection table and a network port table, the relationship is "connected", as shown in fig. 3, the switch is connected to the server, the firewall, the isolation device, and the storage device. By constructing a network topology model of the whole secondary system, on one hand, network structure information of the scheduling master station, the scheduling data network, the transformer substation and the safety protection can be displayed, and on the other hand, the scheduling master station, the scheduling data network, the transformer substation and the safety protection are connected to realize the function of one network.
Optionally, the service association relationship is used to reflect the dependency relationship between services and processes in the automation system, and each automation system is first divided into different services, for example, the scheduling monitoring system may be divided into a historical data storage service, a remote control and operation service, a topology service, a picture data display service, and a remote retrieval service. As shown in fig. 4, the image data display service "depends on" a data processing process under the scada application, a data processing process of the scada application, and a topology calculation process "depend on" an acquisition process of the scada application, and if the acquisition process fails, the data processing process and the topology calculation process cannot work normally, which affects the image data display service. The acquisition process of the scada application is 'connected' to the front core process of the fe application, and when the front core process of the fe application fails, the acquisition process of the scada application is affected, so that the picture data display service is affected. By constructing a service relation model of the whole secondary system, the influence relation between each process and each service is intuitively reflected, and the influence range and the fault tracing can be conveniently and timely analyzed after the fault occurs. The business relation model is realized by constructing a business association table, the business association table comprises 3 fields of business I, business II and association relation, the association relation comprises ' dependence ' and ' upper connection ', the dependence ' represents the dependence relation between processes under the same application, and the ' upper connection ' represents the process dependence relation under different applications.
As an optional embodiment, fig. 5 is a schematic flow chart of a model construction method of an optional power secondary system according to an embodiment of the present invention, and as shown in fig. 5, the model construction method of the power secondary system is specifically divided into two modules, namely, a model table design module and a data construction module, where the model table is divided into a device resource model, a device relationship model and a device measurement model, the device resource model is used to record device ledger information, the device relationship model is used to represent an association relationship between devices, and the device measurement model is used to collect a device operating state; the data construction is divided into 3 types of regulation and control cloud equipment standing book information synchronization, secondary professional subsystem data synchronization and transformer substation information synchronization, wherein the cloud equipment standing book information adopts a regulation and control cloud database timing synchronization mode, the secondary professional subsystem data adopts an E language file transmission synchronization mode, and the transformer substation adopts a message uploading synchronization mode.
In an optional embodiment, classifying all the devices based on the basic information to obtain a secondary classification result of all the devices includes:
step S202, based on the basic information and the service types of all the devices, performing primary classification processing on all the devices to obtain a primary classification result;
step S204, according to the device types of all the devices, performing secondary classification processing on the primary classification result to obtain the secondary classification result, wherein the device types at least include: a container device, a hardware device, and a software device.
Optionally, the service types at least include: scheduling master station, transformer substation, safety protection, scheduling data network.
Optionally, the container device at least comprises: the system comprises an automatic main station system, an automatic plant station system, a data network, a safety protection system, an automatic machine room and an automatic cabinet; the hardware equipment at least comprises computer equipment, network equipment, safety protection equipment, plant station automation equipment and automation auxiliary equipment; the software equipment at least comprises an operating system, a database, middleware, an application software package, application software, an application program and a service module.
Optionally, fig. 6 is a schematic diagram of a device class according to an embodiment of the present invention, and as shown in the drawing, the container device is a carrier for accommodating software and hardware, and includes: automated host station systems, automated plant station systems, data networks, security systems, automated machine rooms, automated cabinets, and the like. The hardware device includes: computer equipment, network equipment, safety protection equipment, factory station automation equipment, automation auxiliary equipment, wherein computer equipment includes server, workstation, storage device, etc., wherein, above-mentioned network equipment includes: the safety protection equipment comprises a transverse isolation device, a longitudinal encryption device, a firewall, intrusion detection equipment and network safety monitoring, the plant station automation equipment comprises a telecontrol device, a measurement and control device, a network analyzer, a vector measurement device and an electric energy acquisition terminal, and the automation auxiliary equipment comprises an uninterruptible power supply, a precision air conditioner, a display, a printer, a clock synchronization device and the like; the software device includes: an operating system, a database, middleware, an application package, an application program, a business module, and the like.
Optionally, the data of the measurement model is constructed in a real-time acquisition manner, a measurement data table is sorted according to the operation and maintenance management requirements of each power device, an automatic device measurement model is constructed, the measurement data of the transformer substation is uploaded to the acquisition server through an IEC104 protocol, as shown in fig. 7, the transformer substation checks whether an analog quantity is out of limit according to a set limit value, checks whether a state quantity is shifted, if the state quantity is changed, or updates data regularly, a monitoring quantity and state quantity data message is generated and sent to the transformer substation secondary device acquisition server, and the latter receives and synchronously sends the data to the power secondary system integrated model server through a library file. And the dispatching master station, the safety protection and the dispatching data network measurement data are transmitted to the electric power secondary system integrated model library in an E language format, whether telemetering exceeding the limit exists or not is checked according to the set limit value, whether telecommand deflection exists or not is checked, if the telecommand deflection exists, or data are updated regularly, the telemetering and telecommand data are stored in an E language format file, a message mail service interface is called, and the E language format file is transmitted to the electric power secondary system integrated model server.
In an optional embodiment, the obtaining the ledger information includes:
step S302, establishing a connection relation between a model base and a regulation cloud database;
step S304, periodically synchronizing the ledger information from the regulation cloud database to a target server based on the connection relationship, where the target server is configured to construct the power secondary system model using the ledger information.
Optionally, the standing book information is used to construct data of a device resource model, a relational database timing synchronization mode is adopted for a data construction mode of the device resource model (i.e., a mode of acquiring the standing book information), the regulation and control cloud database includes detailed device standing book information, a connection with the regulation and control cloud database is established by calling a regulation and control cloud database interface according to a source maintenance principle, and timing synchronization of the standing book information to a target server is selected, where the target server may be, but is not limited to, an electric power secondary system model server.
In an optional embodiment, the obtaining the association relationship information includes:
step S402, obtaining relation information of target formats from the plurality of power secondary subsystems;
step S404, analyzing the relationship information to obtain the association relationship information, where the association relationship information is stored in a pre-constructed model library.
Optionally, the relationship information in the target format may be, but is not limited to, relationship information in an E language format, that is, the relationship information in the target format is stored in a model file in the E language format.
Optionally, each secondary subsystem locally maintains respective relationship information, and exports the respective relationship information as an E language format model file, and transmits the E language format model file to the electric power secondary system model server through a message mail, and the electric power secondary system integration model server parses the E language format model file into association relationship information, and imports the association relationship information into a pre-constructed model library, where the pre-constructed model library may be, but is not limited to, an electric power secondary system model library.
In an optional embodiment, the expanding the device resource model according to the association relationship information to obtain a device relationship model further includes:
step S502, detecting whether the association relation information has target relation information, wherein the target relation information is the relation information without an association source;
step S504, if the detection result is yes, adding the relationship information without the correlation source to the equipment resource model to obtain the equipment relationship model.
Optionally, a manual maintenance tool for a power secondary system model is constructed, and relationship information without an association source is manually constructed, the manual maintenance tool supports addition, deletion, modification and check of each model in a power secondary system model library, a data table corresponding to each model and a field thereof, wherein the relationship information without an association source supports a data import manner in an excel format, and the relationship information without an association source includes data without an association source and relationship data.
The embodiment of the invention can at least realize the following technical effects: the problems of non-uniform power secondary system models and incomplete information are solved; a set of unified model serving the power secondary system is established, so that discrete and abstract large-scale heterogeneous software and hardware resources and related systems thereof are visualized into a centralized and visual data model, and the fine management level of an automatic system and equipment is improved; based on the equipment monitoring model, the running states of automatic equipment and a system in the secondary system are monitored in real time, so that the integrated monitoring and operation and maintenance of the secondary system are realized, and the frequent checking of a plurality of service systems by operators on duty is avoided; according to the business incidence relation model, the influence range analysis and the fault tracing after the system fault are realized, and reference is provided for solving the fault; the problem that the dispatching master station, the dispatching data network, the transformer substation and the safety protection system are mutually split is solved, and the correlation analysis among the dispatching master station, the dispatching data network, the transformer substation and the safety protection system is realized.
It should be noted that, for simplicity of description, the above-mentioned method embodiments are described as a series of acts or combination of acts, but those skilled in the art will recognize that the present invention is not limited by the order of acts, as some steps may occur in other orders or concurrently in accordance with the invention. Further, those skilled in the art should also appreciate that the embodiments described in the specification are preferred embodiments and that the acts and modules referred to are not necessarily required by the invention.
Through the above description of the embodiments, those skilled in the art can clearly understand that the method according to the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but the former is a better implementation mode in many cases. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (e.g., ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (e.g., a mobile phone, a computer, a server, or a network device) to execute the method according to the embodiments of the present invention.
Example 2
According to an embodiment of the present invention, there is also provided a system embodiment for implementing the model building method for the electric power secondary system, and fig. 8 is a schematic structural diagram of a model building system for an electric power secondary system according to an embodiment of the present invention, and as shown in fig. 8, the model building system for an electric power secondary system includes: a data acquisition unit 60, a device classification unit 62, a device resource model construction unit 64, a device relationship model construction unit 66, and a device monitoring model construction unit 68, wherein:
the data collecting unit 60 is configured to collect device information of all devices in an electric power secondary system, where the electric power secondary system includes a plurality of electric power secondary subsystems, and the device information includes: basic information, ledger information, and association relation information of all the above devices;
the device classifying unit 62 is configured to classify all the devices based on the basic information to obtain secondary classification results of all the devices;
the device resource model building unit 64 is configured to build a device resource model according to the secondary classification result and the standing book information, where the standing book information at least includes: the component elements, the installation positions and the commissioning time of all the devices;
the device relationship model building unit 66 is configured to perform expansion processing on the device resource model according to the association relationship information to obtain a device relationship model, where the association relationship information includes: the device attribution relation information, the network topology relation information and the service association relation information;
the device monitoring model building unit 68 is configured to collect real-time monitoring information of all the devices based on the device relationship model, and build a device monitoring model based on the real-time monitoring information.
It should be noted that the specific structures of the data acquisition unit 60, the device classification unit 62, the device resource model construction unit 64, the device relationship model construction unit 66, and the device monitoring model construction unit 68 shown in fig. 8 in this application are merely schematic, and in a specific application, the model construction system of the power secondary system in this application may have more or less structures than the data acquisition unit 60, the device classification unit 62, the device resource model construction unit 64, the device relationship model construction unit 66, and the device monitoring model construction unit 68 shown in fig. 8.
It should be noted that any optional or preferred model construction method for the power secondary system in embodiment 1 may be implemented or realized in the data acquisition unit 60, the device classification unit 62, the device resource model construction unit 64, the device relationship model construction unit 66, and the device monitoring model construction unit 68 provided in this embodiment.
In addition, it should be noted that, for alternative or preferred embodiments of the present embodiment, reference may be made to the relevant description in embodiment 1, and details are not described herein again.
Example 3
According to an embodiment of the present invention, there is further provided an apparatus embodiment for implementing the model building method for the electric power secondary system, fig. 9 is a schematic structural diagram of a model building apparatus for an electric power secondary system according to an embodiment of the present invention, and as shown in fig. 9, the model building apparatus for an electric power secondary system includes: an acquisition module 70, a classification module 72, a first construction module 74, a second construction module 76, a third construction module 78, wherein:
the collecting module 70 is configured to collect device information of all devices in an electric power secondary system, where the electric power secondary system includes a plurality of electric power secondary subsystems, and the device information includes: basic information, ledger information, and association relation information of all the above devices;
the classification module 72 is configured to perform classification processing on all the devices based on the basic information to obtain secondary classification results of all the devices;
the first building module 74 is configured to build an equipment resource model according to the secondary classification result and the standing book information, where the standing book information at least includes: the component elements, the installation positions and the commissioning time of all the devices;
the second building module 76 is configured to perform expansion processing on the device resource model according to the association relationship information to obtain a device relationship model, where the association relationship information includes: the device attribution relation information, the network topology relation information and the service association relation information;
the third building module 78 is configured to collect real-time monitoring information of all the devices based on the device relationship model, and build a device monitoring model based on the real-time monitoring information.
It should be noted that the above modules may be implemented by software or hardware, for example, for the latter, the following may be implemented: the modules can be located in the same processor; alternatively, the modules may be located in different processors in any combination.
It should be noted here that the above-mentioned acquisition module 70, classification module 72, first construction module 74, second construction module 76, and third construction module 78 correspond to steps S102 to S110 in embodiment 1, and the above-mentioned modules are the same as the corresponding steps in the implementation example and application scenario, but are not limited to the disclosure in embodiment 1. It should be noted that the modules described above may be implemented in a computer terminal as part of an apparatus.
It should be noted that, reference may be made to the relevant description in embodiment 1 for alternative or preferred embodiments of this embodiment, and details are not described here again.
The above-mentioned model building device for the power secondary system may further include a processor and a memory, where the above-mentioned acquisition module 70, the classification module 72, the first building module 74, the second building module 76, the third building module 78, and the like are all stored in the memory as program units, and the processor executes the program units stored in the memory to implement corresponding functions.
The processor comprises a kernel, and the kernel calls a corresponding program unit from the memory, wherein one or more than one kernel can be arranged. The memory may include volatile memory in a computer readable medium, Random Access Memory (RAM) and/or nonvolatile memory such as Read Only Memory (ROM) or flash memory (flash RAM), and the memory includes at least one memory chip.
According to an embodiment of the present application, there is also provided an embodiment of a non-volatile storage medium. Optionally, in this embodiment, the non-volatile storage medium includes a stored program, and the apparatus in which the non-volatile storage medium is located is controlled to execute the model building method for the power secondary system when the program runs.
Optionally, in this embodiment, the nonvolatile storage medium may be located in any one of a group of computer terminals in a computer network, or in any one of a group of mobile terminals, and the nonvolatile storage medium includes a stored program.
Optionally, the apparatus in which the non-volatile storage medium is controlled to perform the following functions when the program is executed: the method comprises the following steps of collecting equipment information of all equipment in an electric power secondary system, wherein the electric power secondary system comprises a plurality of electric power secondary subsystems, and the equipment information comprises: basic information, ledger information, and association relation information of all the above devices; classifying all the devices based on the basic information to obtain secondary classification results of all the devices; and constructing an equipment resource model according to the secondary classification result and the standing book information, wherein the standing book information at least comprises: the component elements, the installation positions and the commissioning time of all the devices; and performing expansion processing on the equipment resource model according to the association relationship information to obtain an equipment relationship model, wherein the association relationship information comprises: the device attribution relation information, the network topology relation information and the service association relation information; and on the basis of the equipment relation model, acquiring the real-time monitoring information of all the equipment, and constructing an equipment monitoring model based on the real-time monitoring information.
Optionally, the apparatus in which the non-volatile storage medium is controlled to perform the following functions when the program is executed: performing primary classification processing on all the devices based on the basic information and the service types of all the devices to obtain a primary classification result, wherein the service types at least comprise: the system comprises a scheduling master station, a transformer substation, safety protection and a scheduling data network; and performing secondary classification processing on the primary classification result according to the equipment types of all the equipment to obtain a secondary classification result, wherein the equipment types at least comprise: a container device, a hardware device, and a software device.
Optionally, the apparatus in which the non-volatile storage medium is controlled to perform the following functions when the program is executed: establishing a connection relation between the model base and the regulation cloud database; and based on the connection relation, regularly synchronizing the standing book information from the regulation and control cloud database to a target server, wherein the target server is used for constructing the power secondary system model by adopting the standing book information.
Optionally, the apparatus in which the non-volatile storage medium is controlled to perform the following functions when the program is executed: acquiring relation information of target formats from the plurality of power secondary subsystems; and analyzing the relationship information to obtain the association relationship information, wherein the association relationship information is stored in a pre-constructed model library.
Optionally, the apparatus in which the non-volatile storage medium is controlled to perform the following functions when the program is executed: detecting whether the association relation information has target relation information or not, wherein the target relation information is relation information without an association source; and if the detection result is yes, adding the relationship information without the correlation source to the equipment resource model to obtain the equipment relationship model.
According to an embodiment of the present application, there is also provided an embodiment of a processor. Optionally, in this embodiment, the processor is configured to run a program, where the program is executed to perform any one of the above methods for constructing a model of a power secondary system when running.
According to an embodiment of the present application, there is also provided an embodiment of a computer program product adapted to execute a program of initializing the steps of the model building method of the power secondary system of any of the above when executed on a data processing device.
Optionally, the computer program product described above, when being executed on a data processing device, is adapted to perform a procedure for initializing the following method steps: the method comprises the following steps of collecting equipment information of all equipment in an electric power secondary system, wherein the electric power secondary system comprises a plurality of electric power secondary subsystems, and the equipment information comprises: basic information, ledger information, and association relation information of all the above devices; classifying all the devices based on the basic information to obtain secondary classification results of all the devices; and constructing an equipment resource model according to the secondary classification result and the standing book information, wherein the standing book information at least comprises: the component elements, the installation positions and the commissioning time of all the devices; and performing expansion processing on the equipment resource model according to the association relationship information to obtain an equipment relationship model, wherein the association relationship information comprises: the device attribution relation information, the network topology relation information and the service association relation information; and on the basis of the equipment relation model, acquiring the real-time monitoring information of all the equipment, and constructing an equipment monitoring model based on the real-time monitoring information.
According to an embodiment of the present application, there is also provided an embodiment of an electronic device, including a memory and a processor, where the memory stores a computer program, and the processor is configured to execute the computer program to perform any one of the above methods for constructing a model of an electric power secondary system.
The above-mentioned serial numbers of the embodiments of the present invention are merely for description and do not represent the merits of the embodiments.
In the above embodiments of the present invention, the descriptions of the respective embodiments have respective emphasis, and for parts that are not described in detail in a certain embodiment, reference may be made to related descriptions of other embodiments.
In the embodiments provided in the present application, it should be understood that the disclosed technology can be implemented in other ways. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units may be a logical division, and in actual implementation, there may be another division, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, units or modules, and may be in an electrical or other form.
The units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable non-volatile storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a non-volatile storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned nonvolatile storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The foregoing is only a preferred embodiment of the present invention, and it should be noted that, for those skilled in the art, various modifications and decorations can be made without departing from the principle of the present invention, and these modifications and decorations should also be regarded as the protection scope of the present invention.
Claims (11)
1. A model construction method for a power secondary system, comprising:
collecting device information of all devices in a power secondary system, wherein the power secondary system comprises a plurality of power secondary subsystems, and the device information comprises: basic information, standing book information and incidence relation information of all the devices;
classifying all the devices based on the basic information to obtain secondary classification results of all the devices;
and constructing an equipment resource model according to the secondary classification result and the standing book information, wherein the standing book information at least comprises: the component elements, installation positions and commissioning time of all the devices;
and expanding and processing the equipment resource model according to the incidence relation information to obtain an equipment relation model, wherein the incidence relation information comprises: the device attribution relation information, the network topology relation information and the service association relation information;
and on the basis of the equipment relation model, acquiring real-time monitoring information of all the equipment, and constructing an equipment monitoring model based on the real-time monitoring information.
2. The method of claim 1, wherein classifying the all devices based on the basic information to obtain a secondary classification result of the all devices comprises:
based on the basic information and the service types of all the devices, performing primary classification processing on all the devices to obtain a primary classification result, wherein the service types at least comprise: the system comprises a scheduling master station, a transformer substation, safety protection and a scheduling data network;
and performing secondary classification processing on the primary classification result according to the equipment types of all the equipment to obtain a secondary classification result, wherein the equipment types at least comprise: a container device, a hardware device, and a software device.
3. Method according to claim 2, characterized in that said container device comprises at least: the system comprises an automatic main station system, an automatic plant station system, a data network, a safety protection system, an automatic machine room and an automatic cabinet; the hardware equipment at least comprises computer equipment, network equipment, safety protection equipment, plant station automation equipment and automation auxiliary equipment; the software equipment at least comprises an operating system, a database, middleware, an application software package, application software, an application program and a service module.
4. The method of claim 1, wherein obtaining the ledger information comprises:
establishing a connection relation between the model base and the regulation cloud database;
and periodically synchronizing the standing book information from the regulation and control cloud database to a target server based on the connection relation, wherein the target server is used for constructing the power secondary system model by adopting the standing book information.
5. The method of claim 1, wherein obtaining the association relationship information comprises:
obtaining relationship information in a target format from the plurality of power secondary subsystems;
and analyzing the relationship information to obtain the incidence relationship information, wherein the incidence relationship information is stored in a pre-constructed model library.
6. The method according to claim 1, wherein the device attribution relationship is obtained by associating all the devices by adding an attribution field in a device object table; the network topology relation information is obtained by establishing a network connection table and a network port table to associate all the devices; the service association relation information is obtained by associating all the devices by constructing a service association table, wherein the service association table at least comprises a first service field, a second service field and an association relation field.
7. The method of claim 1, wherein the expanding the device resource model according to the association relationship information to obtain a device relationship model, further comprises:
detecting whether the incidence relation information has target relation information or not, wherein the target relation information is relation information without incidence source;
and if the detection result is yes, adding the relationship information without the correlation source to the equipment resource model to obtain the equipment relationship model.
8. A model building system for a power secondary system, comprising:
the data acquisition unit is used for acquiring equipment information of all equipment in the power secondary system, wherein the power secondary system comprises a plurality of power secondary subsystems, and the equipment information comprises: basic information, standing book information and incidence relation information of all the devices;
the equipment classification unit is used for classifying all the equipment based on the basic information to obtain secondary classification results of all the equipment;
and the equipment resource model building unit is used for building an equipment resource model according to the secondary classification result and the standing book information, wherein the standing book information at least comprises: the component elements, installation positions and commissioning time of all the devices;
the device relationship model building unit is used for expanding and processing the device resource model according to the association relationship information to obtain a device relationship model, wherein the association relationship information comprises: the device attribution relation information, the network topology relation information and the service association relation information;
and the equipment monitoring model building unit is used for collecting the real-time monitoring information of all the equipment on the basis of the equipment relation model and building an equipment monitoring model based on the real-time monitoring information.
9. A model building device for a power secondary system, comprising:
the acquisition module is used for acquiring equipment information of all equipment in the power secondary system, wherein the power secondary system comprises a plurality of power secondary subsystems, and the equipment information comprises: basic information, standing book information and incidence relation information of all the devices;
the classification module is used for classifying all the devices based on the basic information to obtain secondary classification results of all the devices;
a first construction module, configured to construct an equipment resource model according to the secondary classification result and the standing book information, where the standing book information at least includes: the component elements, installation positions and commissioning time of all the devices;
a second building module, configured to perform expansion processing on the device resource model according to the association relationship information to obtain a device relationship model, where the association relationship information includes: the device attribution relation information, the network topology relation information and the service association relation information;
and the third construction module is used for acquiring the real-time monitoring information of all the equipment on the basis of the equipment relation model and constructing an equipment monitoring model based on the real-time monitoring information.
10. A non-volatile storage medium storing a plurality of instructions adapted to be loaded by a processor and to execute the method of model construction of a power secondary system according to any one of claims 1 to 7.
11. An electronic device comprising a memory and a processor, wherein the memory stores a computer program, and the processor is configured to execute the computer program to perform the model construction method of the power secondary system according to any one of claims 1 to 7.
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