CN111027199B - Panoramic model and modeling method for main and auxiliary equipment of transformer substation - Google Patents
Panoramic model and modeling method for main and auxiliary equipment of transformer substation Download PDFInfo
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Abstract
The invention discloses a panoramic model and a modeling method of main and auxiliary equipment of a transformer substation, wherein the method comprises the following steps: the method comprises the steps of carrying out space association constraint modeling on various main and auxiliary devices of the transformer substation, establishing full-life-cycle time historical attributes of main and auxiliary device objects of the transformer substation and time dynamic attributes of all sensing monitoring points of the devices, describing the space state attributes of the devices and parts thereof of the full-life-cycle time historical attributes of the devices based on a space association model and a time association model, and establishing a space-time association model of the main and auxiliary devices of the transformer substation. According to the space-time association constraint model description of the main and auxiliary equipment of the transformer substation, not only are the space characteristics and association constraint relations of the equipment objects and the monitoring points thereof considered, but also the description of the time characteristic dynamic change elements of the equipment is considered, and the dynamic change of the space characteristic attribute along with time is considered, so that the time is taken into a space system, and the penetration perception of the state of the equipment of the transformer substation is realized.
Description
Technical Field
The invention relates to a panoramic model and a modeling method for main and auxiliary equipment of a transformer substation, and belongs to the technical field of power system automation.
Background
The current substation equipment monitoring system mainly monitors the state of each equipment of the substation in an SCADA mode, and at present, an SCADA model only comprises a measuring point state attribute and a measuring point time attribute. At present, each equipment state monitoring point of an SCADA monitoring system is a discrete state measuring point, the description of the correlation of a space structure and a space position is lacked among the measuring points, only one transient state of the real world is reserved for real-time cross section space data monitored and processed by the SCADA system, when the data changes, the old data is replaced by new data to form another transient state, and therefore the dynamic change process of a space object cannot be analyzed and processed, and the description of space-time correlation constraint of substation equipment is lacked. In addition, the traditional power monitoring system mainly takes power grid operation monitoring as a main part, the whole power grid mainly takes power topology model description as a main part, space-time association constraint among devices has no good description method, association constraint relation of space structures and space positions of all measuring points in the existing SCADA can not be well embodied, dynamic change of space data of all the monitoring points can not be accurately tracked, penetration perception of the state of equipment of a transformer substation can not be realized, and intelligent advanced applications such as equipment fault diagnosis and active early warning based on equipment panoramic state penetration display, whole-process equipment situation perception, space-time association analysis and the like lack model bases. Therefore, an appropriate space-time data model facing the intelligent transportation and inspection monitoring application of power transmission and transformation is urgently needed to be designed, organic organization, efficient management and flexible use of space data and time information are realized by taking main and auxiliary equipment of a transformer substation as a center, and the full-time and space-time penetration sensing application of the equipment state is realized on the basis of the space-time data model, so that the construction of an intelligent transportation and inspection system of power transmission and transformation is supported.
Disclosure of Invention
The invention aims to overcome the defects of the prior art and provides a panoramic model of main and auxiliary equipment of a transformer substation and a modeling method.
In order to solve the technical problems, the invention adopts the following technical scheme:
the invention provides a panoramic modeling method for main and auxiliary equipment of a transformer substation, which carries out space-time association constraint on various main and auxiliary equipment of the transformer substation, and comprises the following steps:
obtaining a spatial correlation model of the main and auxiliary equipment of the transformer substation;
establishing the full-life-cycle time historical attribute of the main and auxiliary equipment objects of the transformer substation and the time dynamic attribute of each sensing monitoring point of the equipment to obtain a time association model of the main and auxiliary equipment of the transformer substation;
and describing the space state attributes of the equipment and the parts thereof of the full-life-cycle time historical attributes of the equipment based on the space association model and the time association model, and establishing a space-time association model of the main and auxiliary equipment of the transformer substation.
Further, the spatial association constraint modeling of various main and auxiliary devices of the transformer substation specifically comprises:
carrying out structural decomposition and equipment object modeling according to the spatial structure, spatial position and functional constraint of various main and auxiliary equipment and parts thereof of the transformer substation, and describing the spatial structure association constraint relationship of each physical equipment;
describing the spatial deployment positions of the physical equipment according to the spatial regions of the transformer substations and the deployment positions of the main and auxiliary equipment bodies to form the physical spatial position association constraint relation of the physical equipment of the transformer substations;
constructing a transformer substation main and auxiliary equipment space association constraint model based on the space structure association constraint description and the equipment physical space position association constraint description of the physical equipment;
based on the constructed space association constraint model of the main and auxiliary equipment of the transformer substation, according to the physical equipment structure correspondingly monitored by the sensing equipment and the installation and deployment positions of the sensors, the information physical association relation between each sensing monitoring point and the physical space structure object model of the corresponding equipment is constructed, and finally, the space association constraint model of the main and auxiliary equipment of the transformer substation is established.
Further, the spatial association model of the substation main and auxiliary devices comprises:
the uniqueness OId represents an equipment object for the main and auxiliary equipment of the transformer substation, the main and auxiliary equipment of the transformer substation describes a spatial structure attribute S according to a spatial structure of the main and auxiliary equipment of the transformer substation, describes a spatial position attribute P according to a spatial deployment position of the main and auxiliary equipment of the transformer substation, and establishes an association constraint relation between an equipment spatial structure component and the equipment deployment position;
the method comprises the steps that a main and auxiliary transformer substation equipment describes an equipment internet of things perception state attribute A according to a sensor installed in the main and auxiliary transformer substation equipment, an information physical association relation of each perception monitoring point and a physical space structure object model of the corresponding equipment is constructed according to a physical equipment structure of the corresponding monitoring equipment of the internet of things perception monitoring sensing equipment and an installation and deployment position of the sensor, and a transformer substation main and auxiliary equipment panoramic space model description { O, S, P, A } is formed based on the association constraint relation.
Still further, the spatial association model of the substation master and slave devices includes: and describing the state transition change relationship of the equipment space state attribute along with time by adopting a Markov process, wherein the space state attribute comprises the space structure attribute and the space position attribute of each physical equipment.
Further, the spatial correlation model of the primary and secondary equipment of the substation comprises: the time correlation model of the transformer substation main and auxiliary equipment comprises the following steps:
the main and auxiliary equipment of the transformer substation represent equipment objects by using uniqueness OId, the historical change attribute of the whole life cycle of the equipment and the time dynamic attribute of the monitoring point are selected as time constraint model description characteristic quantities, the whole life cycle L of the equipment is described according to the whole life cycle of the equipment, the sensing state attribute A of each monitoring point of the equipment describes the time dynamic attribute T according to the time, and the panoramic time model description { O, L, A, T } of the main and auxiliary equipment of the transformer substation is formed on the basis of the association constraint relationship.
Still further, the space-time association model of the primary and secondary equipment of the transformer substation described above includes a state machine S for each { O, S, P, A } description equipment, a panoramic time state model of the primary and secondary equipment of the transformer substation { O, L, A, T } description equipment dynamic change attribute t, a device O and a monitoring state attribute a are used as association constraint connection attributes, a markov process is used for describing a process of the change of the space state of the equipment along with the time dynamic attribute, and the equipment follows one state machine S 1 The elapsed time t changes to another state machine S 2 Represented by the following formula:
S 1 ->(t)->S 2 ，
wherein S 1 State machine and S 2 The state machines may represent the same state machine or may represent different state machines.
And further, the transformer substation main and auxiliary equipment space-time association model establishes a transformer substation main and auxiliary equipment space-time association constraint relation through a six-element group consisting of equipment uniqueness, equipment full life cycle, spatial structure attribute, spatial position attribute, time dynamic attribute and monitoring point perception state attribute of the equipment.
On the other hand, the invention provides a panoramic model of main and auxiliary equipment of a transformer substation, which comprises the following steps: the system comprises a spatial association constraint establishing module, a time association constraint establishing module and a space-time association establishing module;
the space association constraint building module is used for carrying out space association constraint modeling on various main and auxiliary devices of the transformer substation to obtain a space association model of the main and auxiliary devices of the transformer substation;
the time association constraint establishing module is used for establishing the full life cycle time historical attribute of the main and auxiliary equipment objects of the transformer substation and the time dynamic attribute of each sensing monitoring point of the equipment to obtain a time association model of the main and auxiliary equipment of the transformer substation;
and the space-time association establishing module is used for describing the space state attributes of the equipment and parts thereof of the full life cycle time historical attributes of the equipment based on the space association model and the time association model, and establishing the space-time association model of the main and auxiliary equipment of the transformer substation.
The invention achieves the following beneficial technical effects:
according to the invention, the space association constraint model description of the main and auxiliary equipment of the transformer substation is established, so that the space structure and the space position of each equipment and the association constraint relation of the space structure and the space position can be truly described, and the association relation of the space interval and the space position monitored by each equipment can be effectively described;
the method selects the full-life-cycle time history attribute of the equipment and the time dynamic attribute of each monitoring point of the equipment, describes the time dynamic change characteristic of the equipment by taking the two attributes as cores, establishes the association description of the full-life-cycle time history attribute of the main and auxiliary equipment of the transformer substation and the time dynamic attribute of each monitoring point of the equipment, and establishes a time association constraint model of the main and auxiliary equipment of the transformer substation.
According to the space-time association constraint model description of the main and auxiliary equipment of the transformer substation, not only are the space characteristics and association constraint relations of the equipment objects and the monitoring points thereof considered, but also the description of the time characteristic dynamic change elements of the equipment is considered, the dynamic change of the space characteristic attribute along with the time is considered, and the time is taken into a space system; the space-time association constraint between the devices is well described, the association constraint relation of the space structure and the space position of each measuring point is reflected, the dynamic change of the space data of each monitoring point can be accurately tracked, and the penetration perception of the state of the transformer substation device is realized.
Drawings
FIG. 1 is a schematic structural diagram of a space-time association constraint panoramic model of main and auxiliary equipment of a transformer substation according to an embodiment of the present invention;
fig. 2 is a schematic diagram of a space-time penetration sensing application structure of states of main and auxiliary devices of a transformer substation according to an embodiment of the present invention.
Detailed Description
The invention is further described below with reference to the accompanying drawings. The following examples are only for illustrating the technical solutions of the present invention more clearly, and the protection scope of the present invention is not limited thereby.
The invention provides a panoramic modeling method for main and auxiliary equipment of a transformer substation (namely a panoramic modeling method for ubiquitous Internet of things penetration perception of the main and auxiliary equipment of the transformer substation), and aims to establish a description of a spatial association constraint model of the main and auxiliary equipment of the transformer substation, so that not only can the spatial structure and the spatial position of each equipment be truly described and the association constraint relation of the spatial structure and the spatial position of each equipment be truly described, but also the association relation of the spatial interval and the spatial position monitored by each equipment can be effectively described, and the panoramic model description method is oriented to the full-dimensional space-time characteristics and the association constraint relation of the main and auxiliary equipment of the transformer substation.
FIG. 1 is a schematic structural diagram of a space-time association constraint panoramic model of main and auxiliary equipment of a transformer substation according to an embodiment of the present invention;
as shown in fig. 1, in a first embodiment, a panoramic modeling method for primary and secondary devices of a transformer substation is provided, which includes:
carrying out spatial association constraint modeling on various main and auxiliary devices of the transformer substation,
performing spatial structure decomposition on various main and auxiliary equipment and parts thereof of the transformer substation, performing structure decomposition and equipment object modeling according to spatial structures, spatial positions and functional constraints of the equipment and the parts thereof, and describing spatial structure association constraint relations of the various main and auxiliary equipment and the parts thereof of the transformer substation;
describing the spatial deployment position of the equipment according to the spatial region of each transformer substation and the deployment position of the equipment body, and forming an association constraint relation of each physical equipment of the transformer substation on the spatial position; constructing a transformer substation main and auxiliary equipment space association constraint model based on the space structure association constraint description and the equipment physical space position association constraint description of the physical equipment;
and according to the physical equipment structure correspondingly monitored by the main and auxiliary equipment of the transformer substation, and the installation and deployment positions of the sensors, establishing the information physical association relationship between each sensing monitoring point and the physical space structure object model of the corresponding equipment.
Based on the modeling method, the space association constraint model description of the main and auxiliary equipment of the transformer substation is established, the space structure, the space position and the association constraint relation of the equipment can be truly described, and the association relation of the space interval and the space position monitored by the equipment can be effectively described,
the uniqueness OId represents the equipment object for the main and auxiliary equipment of the transformer substation, the main and auxiliary equipment of the transformer substation describes the spatial structure attribute S according to the spatial structure, describes the spatial position attribute P according to the spatial deployment position, and establishes the association constraint relationship between the equipment spatial structure component and the equipment deployment position.
The method comprises the steps that sensing state attributes A of monitoring points of main and auxiliary equipment of the transformer substation are described according to installed sensors of the main and auxiliary equipment, namely the sensing state attributes A of the equipment in an internet of things, information physical association relations of physical space structure object models of the sensing monitoring points and the corresponding equipment are constructed according to physical equipment structures of the monitoring equipment corresponding to the sensing equipment in the internet of things and installation and deployment positions of the sensors, and panoramic space model descriptions { O, S, P, A } of the main and auxiliary equipment of the transformer substation are formed on the basis of the association constraint relations;
selecting the full-life-cycle time historical attribute of the equipment and the time dynamic attribute of each monitoring point of the equipment, describing the time dynamic change characteristic of the equipment by taking the two attributes as cores, establishing the association description of the full-life-cycle time historical attribute of the main and auxiliary equipment of the transformer substation and the time dynamic attribute of each monitoring point of the equipment, and constructing a time association constraint model of the main and auxiliary equipment of the transformer substation.
The space-time association constraint model description of the main and auxiliary equipment of the transformer substation not only considers the space characteristics and association constraint relation of the equipment object and the monitoring point thereof, but also considers the description of the time characteristic dynamic change elements of the equipment, considering dynamic change of spatial characteristic attributes along with time, bringing time into a spatial system, representing an equipment object by using uniqueness OId, selecting historical change attributes of the full life cycle of the equipment and time dynamic attributes of monitoring points as time constraint models to describe characteristic quantities, describing the full life time L of the equipment according to the full life cycle of the equipment, namely the full life cycle attribute L of the equipment, describing the time dynamic attribute T of each monitoring point perception state attribute A of the equipment according to the time, namely the time scale attribute T, and forming a transformer substation main and auxiliary equipment panoramic time model description { O, L, A, T } based on the association constraint relation;
describing the space-time association constraint model of the main and auxiliary equipment of the transformer substation, describing the state transition change relationship of each space state attribute of the equipment along with time by adopting a Markov process, describing each state machine S of the equipment by adopting the panoramic space state model { O, S, P, A } of the main and auxiliary equipment of the transformer substation, describing each time dynamic change attribute t of the equipment by adopting the panoramic time state model { O, L, A, T } of the main and auxiliary equipment of the transformer substation, the equipment O and the monitoring state attribute A are taken as the associated constraint link phase, the Markov process is adopted to describe the process of the equipment space state changing along with the time dynamic attribute, S1- > (t) - > S2, that is, the device changes from one state machine S1 to another state machine S2 over a time course t, wherein the S1 state machine and the S2 state machine may represent the same state machine or may represent different state machines.
The space-time association constraint relationship of the main and auxiliary equipment of the transformer substation is established by combining a space association model and a time association model of the main and auxiliary equipment of the transformer substation, taking the equipment as a center, taking the time change history attribute of the whole life cycle of the equipment and the time scale attribute of each state perception monitoring point of the equipment as links and considering the description of the transition change relationship of each state of the equipment, and the space-time association constraint relationship of the main and auxiliary equipment of the transformer substation is described through a six-tuple (equipment uniqueness OId, equipment life cycle L, space structure attribute S, space deployment position P, time scale attribute T and perception state attribute A). And constructing a transformer substation main and auxiliary equipment ubiquitous Internet of things penetration perception panoramic space-time model based on the six-tuple described by the equipment object panoramic model, and realizing penetration perception of the equipment space-time panoramic description.
In a specific embodiment, Enterprise architecture tool software is adopted, and object class diagram modeling is utilized to realize the panoramic modeling method for the main and auxiliary equipment of the transformer substation, which comprises the following steps:
firstly, carrying out space association constraint modeling on various main and auxiliary devices of the transformer substation:
a) decomposing the overall space structure of the main and auxiliary equipment of the modeling target object transformer substation;
b) establishing object models of various types of main and auxiliary equipment and parts of the main and auxiliary equipment of the transformer substation by adopting Enterprise archive tool software and an object class diagram modeling method;
c) describing the aggregation relation of the main and auxiliary equipment objects and the equipment components of the transformer substation by adopting a class diagram of an EA tool, and realizing the description of the spatial structure association constraint relation of various main and auxiliary equipment and components thereof of the transformer substation;
d) establishing a transformer substation space position object model by adopting an object class diagram modeling method, describing the incidence relation of each equipment space deployment position according to the space region of each transformer substation and the deployment position of the equipment body by adopting a class diagram of an EA (engineering and engineering) tool, and forming the incidence constraint relation of each physical equipment and the parts thereof of the transformer substation on the space positions; constructing a transformer substation main and auxiliary equipment space association constraint model based on the space structure association constraint description and the equipment physical space position association constraint description of the physical equipment;
d) the method comprises the steps of constructing various object models of the sensing and monitoring points of the transformer substation through the EA tool, describing the association relation between each sensing and monitoring point and the object model of the physical space structure of the corresponding equipment according to the physical space structure of the corresponding monitoring and the installation and deployment positions of the sensors of the sensing and monitoring points of the transformer substation main and auxiliary equipment through the class diagram of the EA tool.
Secondly, establishing the full-life-cycle time historical attributes of the main and auxiliary equipment objects of the transformer substation and the time dynamic attributes of each sensing monitoring point of the equipment by adopting a class diagram of an EA tool, and constructing a time association constraint model of the main and auxiliary equipment of the transformer substation according to the association relationship between each sensing monitoring point and a physical space structure object model of the corresponding equipment.
And thirdly, describing each state attribute change process of the equipment with the full life cycle time historical attribute and the parts thereof on the space position by combining the space association model and the time association model of the main and auxiliary equipment of the transformer substation and adopting a time sequence diagram of an EA tool, and establishing a space-time association constraint relation of the main and auxiliary equipment of the transformer substation.
Describing a space-time association constraint model (equipment uniqueness OId, equipment life cycle L, spatial structure association attribute S, spatial deployment position association attribute P, association monitoring sensing point object state attribute A and monitoring sensing point object state time scale attribute T) of the main and auxiliary equipment of the transformer substation through the hexahydric group attribute of an equipment class diagram.
Taking transformer equipment as an example, and an EA modeling tool as a basis, the full-time-space penetration sensing application method for the equipment state is realized, firstly, oil-immersed power transformer body equipment is decomposed into a transformer body, an oil tank, a cooling device, a protection device and a wire outlet device according to a spatial physical structure, and the transformer body can be decomposed into: the transformer comprises a box body, an iron core, a clamping piece, a winding, an insulating structure, a lead and a tap switch; the oil tank can be decomposed into the following components according to the structure: the oil tank comprises an oil conservator (an oil conservator), an oil tank body (a tank cover), an oil tank body (tank wall), an oil tank body (a tank bottom), transformer oil, an oil drain valve, an oil sample valve and a grounding bolt; the cooling device can be decomposed into the following components according to the structure: a heat spreader and a cooler; the protection device can be decomposed into the following parts according to the structure: oil purifier, oil level gauge, thermometer, explosion-proof tube (safety air channel), moisture absorber (respirator), gas relay; the outlet device can be decomposed into the following parts according to the structure: high-voltage bushing, low-voltage bushing. And performing object modeling on the oil-immersed power transformer body and each component thereof, and describing the spatial incidence relation between each device and each component thereof according to the spatial structure incidence constraint relation. Further, the geographical location of the transformer device and its components is described in terms of their deployed positions. In addition, in order to realize state perception of the transformer equipment and part of important parts, sensor equipment is additionally arranged, and meanwhile, patrol equipment for the transformer equipment is also included, wherein the patrol equipment comprises various data such as electric quantity monitoring, protection sampling and signal perception, on-line monitoring, transformer intelligent patrol and the like, and according to the installation types, the quantity and the positions of sensors of the transformer equipment and part of important parts and other perception data acquisition devices, the information physical association relation of physical space object models of each sensor perception monitoring point and the corresponding equipment part is constructed. After the transformer equipment space association constraint modeling is completed, the full-life-cycle time historical attributes of the transformer equipment and all parts of the transformer equipment and the time dynamic attribute description of all monitoring points of the transformer equipment and all parts of the transformer equipment are established, and a transformer equipment time association constraint model is established. Finally, by combining a space correlation model and a time correlation model of the transformer equipment, the history attribute of the time change of the full life cycle of the transformer equipment and the time scale attribute of each state perception monitoring point of the transformer equipment are taken as links, and the description of the transition change relationship of each state of the transformer equipment is formed based on the comprehensive consideration of the time-space attribute state of the transformer equipment, including the safe operation state of the transformer, the risk operation state of the transformer, the abnormal fault state of the transformer, the overhaul shutdown state of the transformer and the like, so that the state transition relationship from the safe operation state of the transformer- > the risk operation state of the transformer- > the abnormal fault state of the transformer- > the overhaul shutdown device of the transformer- > the safe operation state of the transformer is formed, and therefore, the panoramic modeling, the collection of various data and the fusion analysis based on the model are carried out based on the time-space correlation constraint of various data, the space three-dimensional penetration sensing of multi-dimensional information fusion monitoring of equipment such as a transformer and the like, the equipment state transition situation sensing of multi-state comprehensive analysis and the equipment state trend analysis based on history and real-time change time dimension can be realized, and the full-time space penetration sensing application of the equipment state is realized.
The invention provides a transformer substation main and auxiliary equipment penetration perception panoramic modeling method based on space-time association constraint, which can well describe the characteristics of equipment in space structure, deployment position, full life cycle and time attribute change and the space-time association constraint relation. The spatial characteristic attribute and the time change attribute of the equipment can be comprehensively, three-dimensionally and visually reflected through the association constraint relation between the equipment internet of things perception monitoring point and the equipment space-time model, the dynamic change of the equipment state can be comprehensively reflected, and the penetration perception of the substation equipment state and the penetration display of the panoramic state of the equipment are realized.
The second embodiment provides a panoramic model of main and auxiliary equipment of a transformer substation, which includes: the system comprises a spatial association constraint establishing module, a time association constraint establishing module and a space-time association establishing module;
the space association constraint establishing module is used for carrying out space association constraint modeling on various main and auxiliary equipment of the transformer substation to obtain a space association model of the main and auxiliary equipment of the transformer substation;
the time association constraint establishing module is used for establishing the full life cycle time historical attribute of the main and auxiliary equipment objects of the transformer substation and the time dynamic attribute of each sensing monitoring point of the equipment to obtain a time association model of the main and auxiliary equipment of the transformer substation;
and the space-time association establishing module is used for describing the space state attributes of equipment and parts thereof of the full life cycle time historical attributes of the equipment based on the space association model and the time association model, and establishing a space-time association model of the main and auxiliary equipment of the transformer substation.
The modeling method of the panoramic model of the main and auxiliary equipment of the transformer substation, which is established by the invention, is described in the technical scheme, and is not repeated herein.
The transformer substation main and auxiliary equipment panoramic model (namely, the transformer substation main and auxiliary equipment ubiquitous Internet of things penetration perception panoramic space-time model) constructed based on the method is based on equipment diverse data acquisition and the equipment panoramic space-time model, a main and auxiliary equipment integrated information platform (as shown in figure 2) containing diverse data and the panoramic space-time model is constructed, on the basis of the main and auxiliary equipment integrated information platform, space three-dimensional penetration perception of multi-dimensional information fusion monitoring of equipment, equipment state transfer situation perception of multi-state comprehensive analysis and equipment state trend analysis based on historical and real-time change time dimensions are realized, and equipment state full-time space penetration perception application can be realized.
Therefore, by acquiring and analyzing various data of the equipment and constructing the panoramic model of the main and auxiliary equipment of the transformer substation, the equipment integrated information platform can realize space three-dimensional penetration sensing of multi-dimensional information fusion monitoring of the equipment, equipment state transition situation sensing of multi-state comprehensive analysis and equipment state trend analysis based on history and real-time change time dimension, and realize the application of equipment state full-time and air penetration sensing. The method also provides a foundation for realizing the situation awareness of the equipment in the whole process and intelligent high-level applications such as equipment fault diagnosis and active early warning based on space-time correlation analysis, and has a fundamental decision function on the popularization and implementation of the intelligent operation and inspection high-level applications of power transmission and transformation.
The foregoing shows and describes the general principles and features of the present invention, together with the advantages thereof. It will be understood by those skilled in the art that the present invention is not limited to the embodiments described above, which are described in the specification and illustrated only to illustrate the principle of the present invention, but that various changes and modifications may be made therein without departing from the spirit and scope of the present invention, which fall within the scope of the invention as claimed. The scope of the invention is defined by the appended claims and equivalents thereof.
Claims (4)
1. A panoramic modeling method for main and auxiliary equipment of a transformer substation is characterized by comprising the following steps:
carrying out space association constraint modeling on various main and auxiliary equipment of the transformer substation to obtain a space association model of the main and auxiliary equipment of the transformer substation;
establishing the full-life-cycle time historical attribute of the main and auxiliary equipment objects of the transformer substation and the time dynamic attribute of each sensing monitoring point of the equipment to obtain a time association model of the main and auxiliary equipment of the transformer substation;
describing the space state attributes of equipment and parts thereof of the full life cycle time historical attributes of the equipment based on a space association model and a time association model, and establishing a space-time association model of the main and auxiliary equipment of the transformer substation;
the method for carrying out space association constraint modeling on various main and auxiliary devices of the transformer substation specifically comprises the following steps:
carrying out structural decomposition and equipment object modeling according to the spatial structure, spatial position and functional constraint of various main and auxiliary equipment and parts thereof of the transformer substation, and describing the spatial structure association constraint relation of each physical equipment;
describing the spatial deployment positions of the physical equipment according to the spatial regions of the transformer substations and the deployment positions of the main and auxiliary equipment bodies to form the physical spatial position association constraint relation of the physical equipment of the transformer substations;
constructing a transformer substation main and auxiliary equipment space association constraint model based on the space structure association constraint description and the equipment physical space position association constraint description of the physical equipment;
based on the constructed space association constraint model of the main and auxiliary equipment of the transformer substation, constructing an information physical association relation between each sensing monitoring point and a physical space structure object model of the corresponding equipment of the sensing monitoring point according to the physical equipment structure correspondingly monitored by the main and auxiliary equipment of the transformer substation in an internet of things sensing monitoring sensing equipment and the installation and deployment positions of the sensors, and finally establishing the space association constraint model of the main and auxiliary equipment of the transformer substation;
the space association model of the transformer substation main and auxiliary equipment comprises the following steps:
the uniqueness OId represents an equipment object for the main and auxiliary equipment of the transformer substation, the main and auxiliary equipment of the transformer substation describes a spatial structure attribute S according to a spatial structure of the main and auxiliary equipment of the transformer substation, describes a spatial position attribute P according to a spatial deployment position of the main and auxiliary equipment of the transformer substation, and establishes an association constraint relation between an equipment spatial structure component and the equipment deployment position;
the method comprises the steps that the main and auxiliary equipment of the transformer substation describes an equipment internet of things perception state attribute A according to a sensor installed in the main and auxiliary equipment of the transformer substation, an information physical association relation between each perception monitoring point and a physical space structure object model of the corresponding equipment of the perception monitoring sensing equipment is constructed according to a physical equipment structure of the corresponding monitoring equipment of the internet of things perception monitoring sensing equipment and the installation and deployment positions of the sensor, and a transformer substation main and auxiliary equipment panoramic space model description { O, S, P, A } is formed on the basis of the association constraint relation;
the time correlation model of the transformer substation main and auxiliary equipment comprises the following steps:
the method comprises the steps that a primary and secondary device of the transformer substation represents a device object by using uniqueness OId, the historical change attribute of the full life cycle of the device and the time dynamic attribute of a monitoring point are selected as time constraint model description characteristic quantities, the full life cycle L of the device is described according to the full life cycle of the device, the sensing state attribute A of each monitoring point of the device describes the time dynamic attribute T according to the time of the sensing state attribute A, and the panoramic time model description { O, L, A, T } of the primary and secondary devices of the transformer substation is formed on the basis of the association constraint relationship;
the space-time association model of the main and auxiliary equipment of the transformer substation comprises the following steps: describing each state machine S of the equipment by adopting the substation main and auxiliary equipment panoramic space state model { O, S, P, A }, describing each time dynamic change attribute t of the equipment by adopting the described substation main and auxiliary equipment panoramic time state model { O, L, A, T }, connecting the attribute phase by taking the equipment O and the monitoring state attribute A as the association constraint, describing the process of the space state of the equipment changing along with the time dynamic attribute by adopting a Markov process, and enabling the equipment to follow one state machine S 1 The elapsed time t changes to another state machine S 2 Represented by the formula:
S 1 ->(t)->S 2 ，
wherein S 1 State machine and S 2 The state machines represent the same state machine or different state machines.
2. The panoramic modeling method for the main and auxiliary equipment of the transformer substation as claimed in claim 1, wherein the spatial correlation model for the main and auxiliary equipment of the transformer substation comprises: and describing the state transition change relationship of the equipment space state attribute along with time by adopting a Markov process, wherein the space state attribute comprises the space structure attribute and the space position attribute of each physical equipment.
3. The panoramic modeling method for the main and auxiliary equipment of the transformer substation according to claim 1, wherein the space-time association model of the main and auxiliary equipment of the transformer substation establishes the space-time association constraint relationship of the main and auxiliary equipment of the transformer substation through a hexahydric group consisting of equipment uniqueness, equipment full life cycle, spatial structure attribute, spatial position attribute, time dynamic attribute and perception state attribute of each monitoring point of the equipment.
4. The utility model provides a main and auxiliary equipment panorama model of transformer substation, characterized by includes: the system comprises a spatial association constraint establishing module, a time association constraint establishing module and a space-time association establishing module;
the space association constraint establishing module is used for carrying out space association constraint modeling on various main and auxiliary equipment of the transformer substation to obtain a space association model of the main and auxiliary equipment of the transformer substation;
the time association constraint establishing module is used for establishing the full life cycle time historical attribute of the main and auxiliary equipment objects of the transformer substation and the time dynamic attribute of each sensing monitoring point of the equipment to obtain a time association model of the main and auxiliary equipment of the transformer substation;
the space-time association establishing module is used for describing the space state attributes of equipment and parts thereof of the full life cycle time historical attributes of the equipment based on a space association model and a time association model, and establishing a space-time association model of the main and auxiliary equipment of the transformer substation;
the method for carrying out space association constraint modeling on various main and auxiliary devices of the transformer substation specifically comprises the following steps:
carrying out structural decomposition and equipment object modeling according to the spatial structure, spatial position and functional constraint of various main and auxiliary equipment and parts thereof of the transformer substation, and describing the spatial structure association constraint relation of each physical equipment;
describing the spatial deployment positions of the physical equipment according to the spatial regions of the transformer substations and the deployment positions of the main and auxiliary equipment bodies to form the physical spatial position association constraint relation of the physical equipment of the transformer substations;
constructing a transformer substation main and auxiliary equipment space association constraint model based on the space structure association constraint description and the equipment physical space position association constraint description of the physical equipment;
based on the constructed space association constraint model of the main and auxiliary equipment of the transformer substation, constructing an information physical association relationship between each sensing monitoring point and a physical space structure object model of the corresponding equipment of the sensing monitoring point according to the physical equipment structure correspondingly monitored by the main and auxiliary equipment of the transformer substation and the installation and deployment positions of the sensors, and finally establishing a space association constraint model of the main and auxiliary equipment of the transformer substation;
the space association model of the transformer substation main and auxiliary equipment comprises the following steps:
the uniqueness OId represents an equipment object for the main and auxiliary equipment of the transformer substation, the main and auxiliary equipment of the transformer substation describes a spatial structure attribute S according to a spatial structure of the main and auxiliary equipment of the transformer substation, describes a spatial position attribute P according to a spatial deployment position of the main and auxiliary equipment of the transformer substation, and establishes an association constraint relation between an equipment spatial structure component and the equipment deployment position;
the method comprises the steps that a main and auxiliary transformer substation equipment describes an equipment internet of things perception state attribute A according to a sensor arranged on the main and auxiliary transformer substation equipment, an information physical association relation of each perception monitoring point and a physical space structure object model of the corresponding equipment is constructed according to a physical equipment structure of the corresponding monitoring equipment of the internet of things perception monitoring sensing equipment and the installation and deployment positions of the sensor, and a transformer substation main and auxiliary equipment panoramic space model description { O, S, P, A } is formed based on the association constraint relation;
the time correlation model of the transformer substation main and auxiliary equipment comprises the following steps:
the method comprises the steps that a primary and secondary device of the transformer substation represents a device object by using uniqueness OId, the historical change attribute of the full life cycle of the device and the time dynamic attribute of a monitoring point are selected as time constraint model description characteristic quantities, the full life cycle L of the device is described according to the full life cycle of the device, the sensing state attribute A of each monitoring point of the device describes the time dynamic attribute T according to the time of the sensing state attribute A, and the panoramic time model description { O, L, A, T } of the primary and secondary devices of the transformer substation is formed on the basis of the association constraint relationship;
the space-time correlation model of the main and auxiliary equipment of the transformer substation comprises the following steps: describing each state machine S of the equipment by adopting the substation main and auxiliary equipment panoramic space state model { O, S, P, A }, describing each time dynamic change attribute t of the equipment by adopting the described substation main and auxiliary equipment panoramic time state model { O, L, A, T }, connecting the attribute phase by taking the equipment O and the monitoring state attribute A as the association constraint, describing the process of the space state of the equipment changing along with the time dynamic attribute by adopting a Markov process, and enabling the equipment to follow one state machine S 1 The elapsed time t changes to another state machine S 2 Represented by the formula:
S 1 ->(t)->S 2 ，
wherein S 1 State machine and S 2 The state machines represent the same state machine or different state machines.
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| CN103440367A (en) * | 2013-08-12 | 2013-12-11 | 中国南方电网有限责任公司 | Panoramic data modeling method for transformer substation |
| CN106130185A (en) * | 2016-07-18 | 2016-11-16 | 中国南方电网有限责任公司 | A kind of monitoring system of electric substation modeling method based on status monitoring information |
| CN108885634A (en) * | 2016-10-24 | 2018-11-23 | 北京亚控科技发展有限公司 | A kind of search method to data object based on space-time database |
| CN110147931A (en) * | 2019-04-16 | 2019-08-20 | 国家电网有限公司 | Intelligent panoramic system and intelligent panoramic power grid |
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| CN103440367A (en) * | 2013-08-12 | 2013-12-11 | 中国南方电网有限责任公司 | Panoramic data modeling method for transformer substation |
| CN106130185A (en) * | 2016-07-18 | 2016-11-16 | 中国南方电网有限责任公司 | A kind of monitoring system of electric substation modeling method based on status monitoring information |
| CN108885634A (en) * | 2016-10-24 | 2018-11-23 | 北京亚控科技发展有限公司 | A kind of search method to data object based on space-time database |
| CN110147931A (en) * | 2019-04-16 | 2019-08-20 | 国家电网有限公司 | Intelligent panoramic system and intelligent panoramic power grid |
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