CN108471114B - Power transmission line state evaluation method and device, computer equipment and storage medium - Google Patents
Power transmission line state evaluation method and device, computer equipment and storage medium Download PDFInfo
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- CN108471114B CN108471114B CN201810368997.4A CN201810368997A CN108471114B CN 108471114 B CN108471114 B CN 108471114B CN 201810368997 A CN201810368997 A CN 201810368997A CN 108471114 B CN108471114 B CN 108471114B
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J3/00—Circuit arrangements for ac mains or ac distribution networks
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J2203/00—Indexing scheme relating to details of circuit arrangements for AC mains or AC distribution networks
- H02J2203/20—Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
Abstract
The invention relates to a method and a device for evaluating the state of a power transmission line, computer equipment and a storage medium. The method comprises the following steps: acquiring power transmission equipment of the power transmission line, and performing structure division on the power transmission equipment according to the equipment type of the power transmission equipment to obtain a state quantity corresponding to each structure; inputting the state quantity corresponding to each structure into a preset power transmission equipment state evaluation model to obtain the running state of the power transmission equipment; and evaluating the state of the power transmission line according to the running state of the power transmission equipment. According to the technical scheme, the state of the power transmission line can be accurately evaluated according to the running state of each power transmission device in the power transmission line.
Description
Technical Field
The invention relates to the technical field of power system monitoring, in particular to a method and a device for evaluating the state of a power transmission line, computer equipment and a storage medium.
Background
The transmission line is in a complex and changeable environment, and the reliability of equipment directly influences the safe operation of a power system. For example, the components of the overhead transmission line, including the conducting wire, the lightning conductor, the insulator, the tower, the grounding device and the like, are exposed outside, and along with the seasonal exchange and the occurrence of extreme severe weather, the overhead transmission line causes great harm to the line. Because the power transmission line has defects due to factors such as environment, materials, manufacturing process, aging and the like, if the equipment state is not good, the risk that the power transmission line breaks down and the like is easily caused, and therefore, the correct evaluation of the state of the power transmission line is the key for guaranteeing the safe operation of the power transmission line.
At present, no quantitative evaluation standard exists in the state evaluation of the power transmission line, the state evaluation of the power transmission line is mainly determined by human subjectivity, but the state of the power transmission line is influenced by various internal factors and external environment, and if the state evaluation of the power transmission line is carried out by human subjective consciousness, a large error is easily generated in the evaluation of the state of the power transmission line.
Disclosure of Invention
Therefore, it is necessary to provide a method for evaluating a power transmission line state, which addresses the problem that a large error exists in the evaluation of a line state.
A method for evaluating the state of a power transmission line comprises the following steps:
acquiring power transmission equipment of the power transmission line, and performing structure division on the power transmission equipment according to the equipment type of the power transmission equipment to obtain a state quantity corresponding to each structure;
inputting the state parameters corresponding to each structure into a preset power transmission equipment state evaluation model to obtain the running state of the power transmission equipment;
and evaluating the state of the power transmission line according to the running state of the power transmission equipment.
In one embodiment, before the step of inputting the state quantity corresponding to each structure into a preset power transmission and transformation equipment state evaluation model, the method further includes: acquiring fault associated data of the power transmission equipment; and constructing a power transmission equipment state evaluation model according to the fault associated data.
In one embodiment, the step of constructing the power transmission equipment state evaluation model according to the fault-related data includes: acquiring historical fault data and environmental impact data of the power transmission equipment; fusing the historical fault data and the environmental impact data to generate a power transmission equipment state evaluation association constraint knowledge base; and constructing the power transmission equipment state evaluation model according to the state evaluation association constraint knowledge base.
In one embodiment, the step of fusing the historical fault data and the environmental impact data includes: acquiring the incidence relation between the environmental impact data and the historical fault data, and fusing the environmental impact data and the historical fault data according to the incidence relation.
In one embodiment, the step of constructing the power transmission equipment state evaluation model according to the fault-related data includes: acquiring historical fault data and environmental influence data of the power transmission equipment within a set time period; fusing the historical fault data and the environmental influence data to obtain a fault feature tree of the power transmission equipment, and generating a power transmission equipment state evaluation association constraint knowledge base according to the fault feature tree; and constructing the power transmission equipment state evaluation model according to the state evaluation association constraint knowledge base.
In one embodiment, the historical fault data includes: a set of fault types, a set of symptoms of faults, and a set of relationships of fault types to symptoms.
In one embodiment, the power transmission apparatus is a power transmission cable; the step of performing structure division on the power transmission equipment according to the equipment type to obtain a state quantity corresponding to each structure includes: the method comprises the steps of obtaining structural characteristics of the power transmission cable, dividing the power transmission cable into six structures including a cable body, a cable terminal, a cable middle joint, a grounding system, a cable channel and an auxiliary facility according to the structural characteristics of the power transmission cable, and obtaining state quantities corresponding to all the structures.
A power transmitting apparatus state evaluation device comprising:
the state quantity acquisition module is used for acquiring the power transmission equipment of the power transmission line, and performing structure division on the power transmission equipment according to the equipment type of the power transmission equipment to obtain the state quantity corresponding to each structure;
the equipment state acquisition module is used for inputting the state quantity corresponding to each structure into a preset power transmission equipment state evaluation model to obtain the running state of the power transmission equipment;
and the line state evaluation module is used for evaluating the state of the power transmission line according to the running state of the power transmission equipment.
A computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
acquiring power transmission equipment of the power transmission line, and performing structure division on the power transmission equipment according to the equipment type of the power transmission equipment to obtain a state quantity corresponding to each structure;
inputting the state quantity corresponding to each structure into a preset power transmission equipment state evaluation model to obtain the running state of the power transmission equipment;
and evaluating the state of the power transmission line according to the running state of the power transmission equipment.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring power transmission equipment of the power transmission line, and performing structure division on the power transmission equipment according to the equipment type of the power transmission equipment to obtain a state quantity corresponding to each structure;
inputting the state quantity corresponding to each structure into a preset power transmission equipment state evaluation model to obtain the running state of the power transmission equipment;
and evaluating the state of the power transmission line according to the running state of the power transmission equipment.
According to the power transmission line state evaluation method, the power transmission line state evaluation device, the computer equipment and the storage medium, after the power transmission equipment in the power transmission line is obtained, the power transmission equipment is divided into a plurality of structures and then is input into the preset power transmission equipment state evaluation model, and the running state of the power transmission equipment is obtained, so that the state of the power transmission line is evaluated according to the running state of each power transmission equipment, and the accuracy of power transmission line fault detection is improved.
Drawings
Fig. 1 is a schematic flow chart of a power transmission line state evaluation method according to an embodiment;
fig. 2 is a schematic flow chart of a power transmission line state evaluation method according to another embodiment;
fig. 3 is a schematic structural diagram of the power transmission line state evaluation method according to an embodiment;
fig. 4 is an application environment diagram of the power transmission line state evaluation method according to the embodiment.
Detailed Description
In order to further explain the technical means and effects of the present invention, the following description will be made for clear and complete descriptions of the technical solutions of the embodiments of the present invention with reference to the accompanying drawings and preferred embodiments.
As shown in fig. 1, fig. 1 is a schematic flow chart of a method for evaluating a state of a power transmission line according to an embodiment, and includes the following steps:
step S11, acquiring power transmission equipment of the power transmission line, and performing structure division on the power transmission equipment according to the equipment type of the power transmission equipment to obtain a state quantity corresponding to each structure.
In the above steps, the power transmission equipment is each component of the power transmission line, such as a wire, a lightning conductor, an insulator, a tower, an earthing device, and the like. Each power transmission device is composed of a plurality of parts, and the corresponding working state of each structure is a fault characteristic used for evaluating the state of the power transmission device and is expressed by state quantity.
Step S12, inputting the state quantity corresponding to each structure into a preset power transmission equipment state evaluation model, to obtain the operating state of the power transmission equipment.
In the above step, the power transmission equipment state evaluation model is a preset model for evaluating the operating state of the power transmission equipment. The power transmission equipment state evaluation model integrates the input state quantities to evaluate the operation state of the whole power transmission equipment. The operation state represents the working condition of the power transmission equipment, and the power transmission equipment is in a normal working state if the working condition of the power transmission equipment is good; and if the operating condition of the power transmission equipment is poor, the power transmission equipment is in an abnormal operating state, so that the defect of the power transmission equipment is detected.
And step S13, evaluating the power transmission line state according to the operation state of the power transmission equipment.
In the above steps, the operation states of the power transmission devices in the power transmission line are synthesized to obtain the operation state of the power transmission line, so that the state of the power transmission line is evaluated to detect whether the power transmission line has a fault risk. According to the power transmission line state evaluation method, after the power transmission equipment in the power transmission line is obtained, the power transmission equipment is divided into a plurality of structures and then input into the preset power transmission equipment state evaluation model, and the running state of the power transmission equipment is obtained, so that the state of the power transmission line is evaluated according to the running state of each power transmission equipment, the condition of the power transmission line is truly and comprehensively reflected, the power transmission line state evaluation efficiency is improved, and the power transmission line fault detection accuracy is also improved.
In one embodiment, before the step of inputting the state quantity corresponding to each structure into a preset power transmission and transformation equipment state evaluation model, the method further includes: acquiring fault associated data of the power transmission equipment; and constructing a power transmission equipment state evaluation model according to the fault associated data. The fault-related data are all data related to faults of the power transmission equipment, and the fault-related data of the power transmission equipment are roughly divided into two aspects because the fault of the power transmission equipment is influenced by various internal and external factors: on one hand, the data represents the damage rule of the power transmission equipment, such as the data directly influencing the running condition of the power transmission equipment, such as the real-time state and the running condition of the equipment; on the other hand, the data represents the influence of the external environment on the power transmission equipment, and the like, such as data indirectly influencing the operating conditions of the power transmission equipment, such as meteorological environment, geographical conditions, historical records and the like.
In one embodiment, the step of constructing the power transmission equipment state evaluation model according to the fault-related data includes: acquiring historical fault data and environmental impact data of the power transmission equipment; fusing the historical fault data and the environmental impact data to generate a power transmission equipment state evaluation association constraint knowledge base; and constructing the power transmission equipment state evaluation model according to the state evaluation association constraint knowledge base. The historical fault data is historical data representing the damage rule of the power transmission equipment, and the environmental influence data is influence factor data of the external environment on the power transmission equipment. Through a correlation analysis technology, historical fault data and environmental influence data are fused according to the correlation among data such as the state quantity, the defect type, the defect correlation, the state quantity change rule and the like of the power transmission equipment, the corresponding rule between the fault of the power transmission equipment and the external environmental factors can be obtained, and therefore a correlation constraint knowledge base reflecting the related state of the power transmission equipment is generated according to the corresponding rule between the fault of the power transmission equipment and the external environmental factors.
In one embodiment, the step of fusing the historical fault data and the environmental impact data includes: acquiring the incidence relation between the environmental impact data and the historical fault data, and fusing the environmental impact data and the historical fault data according to the incidence relation. It should be noted that the association relationship represents the degree of association between the environmental impact data and the historical fault data, and is represented by impact weight, and if the impact weight is great, it represents that the environmental impact data has a high possibility of causing a fault of the power transmission equipment, and is strongly associated data; if the influence weight is small, it means that the environmental factor is less likely to cause a failure of the power transmission equipment, and the data is weakly correlated data. And then, according to the historical statistical data, weighting and determining the strong and weak associated data, so as to fuse the environmental impact data and the historical fault data.
In one embodiment, the step of constructing the power transmission equipment state evaluation model according to the fault-related data includes: acquiring historical fault data and environmental influence data of the power transmission equipment within a set time period; fusing the historical fault data and the environmental influence data to obtain a fault feature tree of the power transmission equipment, and generating a power transmission equipment state evaluation association constraint knowledge base according to the fault feature tree; and constructing the power transmission equipment state evaluation model according to the state evaluation association constraint knowledge base.
In the above embodiments, the fault signature tree is used to represent the relationship between the type of equipment fault and the fault causing factor. In order to obtain the corresponding relationship between the type of the equipment fault and the fault initiation factor, the embodiment applies a multi-knowledge information granularity division method, combines multiple kinds of relevant data information such as degradation accumulation of the power transmission equipment, defect fault development, chain fault effect and environmental information, and integrates a multi-dimensional knowledge characterization model representing the state of the power transmission equipment in time, space characteristics and the like to form a power transmission equipment fault feature tree. The multi-knowledge information granularity division method is used for carrying out division statistics on data in different modes.
As shown in fig. 2, fig. 2 is a schematic flow chart of a power transmission line state evaluation method according to another embodiment, and includes the following steps:
step S21, obtaining the structural characteristics of the transmission cable, dividing the transmission cable into six structures including a cable body, a cable terminal, a cable intermediate joint, a grounding system, a cable channel and an auxiliary facility according to the structural characteristics of the transmission cable, and obtaining the state quantity corresponding to each structure.
In the above-described steps, the structural characteristics are information indicating the composition structure of the power transmission equipment, and the power transmission cable can be roughly divided into six parts, i.e., a cable body, a cable termination, a cable intermediate joint, a grounding system, a cable duct, and an auxiliary facility, according to the structural characteristics of the power transmission cable. Each part of structure can be subdivided into different state quantities according to the structural characteristics of the equipment, such as outer sheath insulation resistance, main insulation resistance, intermediate joint temperature, grounding circulation and the like.
Step S22, inputting the state quantity corresponding to each structure into a preset power transmission equipment state evaluation model, to obtain the operating state of the power transmission cable.
In the above step, the power transmission equipment state evaluation model evaluates the operation state of the entire power transmission cable based on the input state quantity. The power transmission equipment state evaluation model is based on a corresponding relation set between the operating state of the historical power transmission cable and the historical state quantity, the state quantity of the current power transmission cable is matched and compared with the historical state quantity through a fuzzy state membership function and an evidence reasoning algorithm, an ideal point method, an association analysis method and the like, and then the operating state of the current power transmission cable is determined according to the operating state of the historical power transmission cable corresponding to the closest historical state quantity after the closest historical state quantity is obtained.
And step S23, evaluating the state of the power transmission line according to the running state of the power transmission cable.
According to the power transmission line state evaluation method, the power transmission cable is divided into the plurality of structures, the state quantity corresponding to each structure is obtained, the state quantity is input into the preset power transmission equipment state evaluation model, the running state of the power transmission cable is obtained, and finally the state of the power transmission line is evaluated according to the running state of the power transmission cable, so that the condition of the power transmission line can be truly and comprehensively reflected, and the efficiency of evaluating the state of the power transmission line is improved.
As shown in fig. 3, fig. 3 is a schematic structural diagram of a power transmission equipment state evaluation device according to an embodiment, and the schematic structural diagram includes:
a state quantity obtaining module 310, configured to obtain power transmission equipment of the power transmission line, and perform structure division on the power transmission equipment according to the equipment type of the power transmission equipment to obtain a state quantity corresponding to each structure.
In the above steps, the power transmission equipment is each component of the power transmission line, such as a wire, a lightning conductor, an insulator, a tower, an earthing device, and the like. Each power transmission device is composed of a plurality of parts, and the corresponding working state of each structure is a fault characteristic used for evaluating the state of the power transmission device and is expressed by state quantity.
The device state obtaining module 320 is configured to input the state quantity corresponding to each structure into a preset power transmission device state evaluation model, so as to obtain an operation state of the power transmission device.
In the above modules, the power transmission equipment state evaluation model is a preset model for evaluating the operating state of the power transmission equipment. The power transmission equipment state evaluation model integrates the input state quantities to evaluate the operation state of the whole power transmission equipment. The operation state represents the working condition of the power transmission equipment, and the power transmission equipment is in a normal working state if the working condition of the power transmission equipment is good; and if the operating condition of the power transmission equipment is poor, the power transmission equipment is in an abnormal operating state, so that the defect of the power transmission equipment is detected.
And the line state evaluation module 330 is configured to evaluate the state of the power transmission line according to the operating state of the power transmission equipment.
In the above modules, the operation states of the power transmission devices in the power transmission line are synthesized to obtain the operation states of the power transmission line, so that the state of the power transmission line is evaluated to detect whether the power transmission line has a fault risk.
According to the power transmission line state evaluation device, after the power transmission equipment in the power transmission line is obtained through the state quantity obtaining module 310 and the equipment state obtaining module 320, the power transmission equipment is divided into a plurality of structures and then is input into the preset power transmission equipment state evaluation model, and the running state of the power transmission equipment is obtained, so that the state of the power transmission line is evaluated through the line state evaluation module 330 according to the running state of each power transmission equipment, the state of the power transmission line is truly and comprehensively reflected, the power transmission line state evaluation efficiency is improved, and the accuracy of power transmission line fault detection is also improved.
In one embodiment, the apparatus for evaluating a state of a power transmission line further includes: the model building module is used for acquiring fault associated data of the power transmission equipment; and constructing a power transmission equipment state evaluation model according to the fault associated data. The fault-related data are all data related to faults of the power transmission equipment, and because the fault of the power transmission equipment is influenced by various internal and external factors, the data related to the faults of the power transmission equipment roughly comprise two aspects: on one hand, the data represents the internal damage rule of the power transmission equipment, such as the data directly influencing the running condition of the power transmission equipment, such as the real-time state and the running condition of the equipment; on the other hand, the data represents the influence of the external environment on the power transmission equipment, and the like, such as data indirectly influencing the operating conditions of the power transmission equipment, such as meteorological environment, geographical conditions, historical records and the like.
In one embodiment, the model building module is configured to obtain historical fault data and environmental impact data of the power transmission equipment; fusing the historical fault data and the environmental impact data to generate a power transmission equipment state evaluation association constraint knowledge base; and constructing the power transmission equipment state evaluation model according to the state evaluation association constraint knowledge base. The historical fault data is historical data representing the damage rule of the power transmission equipment, and the environmental influence data is influence factor data of the external environment on the power transmission equipment. Through a correlation analysis technology, historical fault data and environmental influence data are fused according to the correlation among data such as the state quantity, the defect type, the defect correlation, the state quantity change rule and the like of the power transmission equipment, the corresponding rule between the fault of the power transmission equipment and the external environmental factors can be obtained, and therefore a correlation constraint knowledge base reflecting the related state of the power transmission equipment is generated according to the corresponding rule between the fault of the power transmission equipment and the external environmental factors.
In one embodiment, the model building module is configured to obtain an association relationship between the environmental impact data and the historical fault data, and fuse the environmental impact data and the historical fault data according to the association relationship. It should be noted that the association relationship represents the degree of association between the environmental impact data and the historical fault data, and is represented by impact weight, and if the impact weight is great, it represents that the environmental impact data has a high possibility of causing a fault of the power transmission equipment, and is strongly associated data; if the influence weight is small, it means that the environmental factor is less likely to cause a failure of the power transmission equipment, and the data is weakly correlated data. And then, according to the historical statistical data, weighting and determining the strong and weak associated data, so as to fuse the environmental impact data and the historical fault data.
In one embodiment, the model building module is configured to obtain historical fault data and environmental impact data of the power transmission equipment within a set time period; fusing the historical fault data and the environmental influence data to obtain a fault feature tree of the power transmission equipment, and generating a power transmission equipment state evaluation association constraint knowledge base according to the fault feature tree; and constructing the power transmission equipment state evaluation model according to the state evaluation association constraint knowledge base.
In the above embodiments, the fault signature tree is used to represent the relationship between the type of equipment fault and the fault causing factor. In order to obtain the corresponding relationship between the type of the equipment fault and the fault initiation factor, the embodiment applies a multi-knowledge information granularity division method, combines multiple kinds of relevant data information such as degradation accumulation of the power transmission equipment, defect fault development, chain fault effect and environmental information, and integrates a multi-dimensional knowledge characterization model representing the state of the power transmission equipment in time, space characteristics and the like to form a power transmission equipment fault feature tree. The multi-knowledge information granularity division method is used for carrying out division statistics on data in different modes.
For specific limitations of the power transmission line state evaluation device, reference may be made to the above limitations on the power transmission line state evaluation method, which is not described herein again. All or part of each module in the power transmission line state evaluation device can be realized by software, hardware and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, comprising a memory and a processor, the memory having a computer program stored therein, the processor implementing the following steps when executing the computer program:
acquiring power transmission equipment of the power transmission line, and performing structure division on the power transmission equipment according to the equipment type of the power transmission equipment to obtain a state quantity corresponding to each structure;
inputting the state quantity corresponding to each structure into a preset power transmission equipment state evaluation model to obtain the running state of the power transmission equipment;
and evaluating the state of the power transmission line according to the running state of the power transmission equipment.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring fault associated data of the power transmission equipment; and constructing a power transmission equipment state evaluation model according to the fault associated data.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring historical fault data and environmental impact data of the power transmission equipment; fusing the historical fault data and the environmental impact data to generate a power transmission equipment state evaluation association constraint knowledge base; and constructing the power transmission equipment state evaluation model according to the state evaluation association constraint knowledge base.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring the incidence relation between the environmental impact data and the historical fault data, and fusing the environmental impact data and the historical fault data according to the incidence relation.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
acquiring historical fault data and environmental influence data of the power transmission equipment within a set time period; fusing the historical fault data and the environmental influence data to obtain a fault feature tree of the power transmission equipment, and generating a power transmission equipment state evaluation association constraint knowledge base according to the fault feature tree; and constructing the power transmission equipment state evaluation model according to the state evaluation association constraint knowledge base.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
the method comprises the steps of obtaining structural characteristics of the power transmission cable, dividing the power transmission cable into six structures including a cable body, a cable terminal, a cable middle joint, a grounding system, a cable channel and an auxiliary facility according to the structural characteristics of the power transmission cable, and obtaining state quantities corresponding to all the structures.
In one embodiment, a computer-readable storage medium is provided, having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring power transmission equipment of the power transmission line, and performing structure division on the power transmission equipment according to the equipment type of the power transmission equipment to obtain a state quantity corresponding to each structure;
inputting the state quantity corresponding to each structure into a preset power transmission equipment state evaluation model to obtain the running state of the power transmission equipment;
and evaluating the state of the power transmission line according to the running state of the power transmission equipment.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring fault associated data of the power transmission equipment; and constructing a power transmission equipment state evaluation model according to the fault associated data.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring historical fault data and environmental impact data of the power transmission equipment; fusing the historical fault data and the environmental impact data to generate a power transmission equipment state evaluation association constraint knowledge base; and constructing the power transmission equipment state evaluation model according to the state evaluation association constraint knowledge base.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring the incidence relation between the environmental impact data and the historical fault data, and fusing the environmental impact data and the historical fault data according to the incidence relation.
In one embodiment, the computer program when executed by the processor further performs the steps of:
acquiring historical fault data and environmental influence data of the power transmission equipment within a set time period; fusing the historical fault data and the environmental influence data to obtain a fault feature tree of the power transmission equipment, and generating a power transmission equipment state evaluation association constraint knowledge base according to the fault feature tree; and constructing the power transmission equipment state evaluation model according to the state evaluation association constraint knowledge base.
In one embodiment, the computer program when executed by the processor further performs the steps of:
the method comprises the steps of obtaining structural characteristics of the power transmission cable, dividing the power transmission cable into six structures including a cable body, a cable terminal, a cable middle joint, a grounding system, a cable channel and an auxiliary facility according to the structural characteristics of the power transmission cable, and obtaining state quantities corresponding to all the structures.
As shown in fig. 4, fig. 4 is an application environment diagram of the power transmission line state evaluation method according to the embodiment, and the application environment diagram includes: a processor, a memory, and a network interface connected by a system bus. Wherein the processor is configured to provide computational and control capabilities. The memory includes a nonvolatile storage medium, an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface is used for communicating with an external terminal through network connection. The computer program is executed by a processor to implement a power transmission line state evaluation method.
Those skilled in the art will appreciate that the architecture shown in fig. 4 is merely a block diagram of some of the structures associated with the disclosed aspects and is not intended to limit the computing devices to which the disclosed aspects apply, as particular computing devices may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
All possible combinations of the individual features in the above-described embodiments are described, but the combination of these features should be considered as being within the scope of the present description, provided that it is not contradictory.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (10)
1. A method for evaluating the state of a power transmission line is characterized by comprising the following steps:
acquiring power transmission equipment of the power transmission line, and performing structure division on the power transmission equipment according to the equipment type of the power transmission equipment to obtain a state quantity corresponding to each structure;
inputting the state quantity corresponding to each structure into a preset power transmission equipment state evaluation model to obtain the running state of the power transmission equipment;
evaluating the state of the power transmission line according to the running state of the power transmission equipment;
before the step of inputting the state quantity corresponding to each structure into a preset power transmission equipment state evaluation model, the method further includes:
acquiring fault associated data of the power transmission equipment;
according to the fault associated data, a power transmission equipment state evaluation model is built;
the step of constructing the power transmission equipment state evaluation model according to the fault-related data includes:
acquiring historical fault data and environmental impact data of the power transmission equipment;
fusing the historical fault data and the environmental impact data to generate a power transmission equipment state evaluation association constraint knowledge base;
and constructing the power transmission equipment state evaluation model according to the state evaluation association constraint knowledge base.
2. The method according to claim 1, wherein the step of fusing the historical fault data and the environmental impact data comprises:
acquiring the incidence relation between the environmental impact data and the historical fault data, and fusing the environmental impact data and the historical fault data according to the incidence relation.
3. The method according to claim 1, wherein the step of constructing the power transmission equipment state evaluation model based on the fault-related data includes:
acquiring historical fault data and environmental influence data of the power transmission equipment within a set time period;
fusing the historical fault data and the environmental influence data to obtain a fault feature tree of the power transmission equipment, and generating a power transmission equipment state evaluation association constraint knowledge base according to the fault feature tree;
and constructing the power transmission equipment state evaluation model according to the state evaluation association constraint knowledge base.
4. The method according to claim 1, wherein the historical fault data comprises: a set of fault types, a set of symptoms of faults, and a set of relationships of fault types to symptoms.
5. The transmission line state evaluation method according to claim 1, wherein the transmission equipment is a transmission cable;
the step of dividing the power transmission equipment into structures according to the equipment types of the power transmission equipment to obtain the state quantity corresponding to each structure includes:
the method comprises the steps of obtaining structural characteristics of the power transmission cable, dividing the power transmission cable into six structures including a cable body, a cable terminal, a cable middle joint, a grounding system, a cable channel and an auxiliary facility according to the structural characteristics of the power transmission cable, and obtaining state quantities corresponding to all the structures.
6. A power transmission equipment state evaluation device, characterized by comprising:
the state quantity acquisition module is used for acquiring power transmission equipment of the power transmission line, and performing structure division on the power transmission equipment according to the equipment type of the power transmission equipment to obtain state quantity corresponding to each structure;
the equipment state acquisition module is used for inputting the state quantity corresponding to each structure into a preset power transmission equipment state evaluation model to obtain the running state of the power transmission equipment;
the equipment state acquisition module is further configured to acquire fault-related data of the power transmission equipment; according to the fault associated data, a power transmission equipment state evaluation model is built;
the equipment state acquisition module is further used for acquiring historical fault data and environmental impact data of the power transmission equipment; fusing the historical fault data and the environmental impact data to generate a power transmission equipment state evaluation association constraint knowledge base; constructing a power transmission equipment state evaluation model according to the state evaluation association constraint knowledge base;
and the line state evaluation module is used for evaluating the state of the power transmission line according to the running state of the power transmission equipment.
7. The power transmission equipment state evaluation device according to claim 6, wherein the equipment state acquisition module is further configured to acquire an association relationship between the environmental impact data and the historical fault data, and fuse the environmental impact data and the historical fault data according to the association relationship.
8. The power transmission equipment state evaluation device according to claim 6, wherein the equipment state acquisition module is further configured to acquire historical fault data and environmental impact data of the power transmission equipment within a set time period; fusing the historical fault data and the environmental influence data to obtain a fault feature tree of the power transmission equipment, and generating a power transmission equipment state evaluation association constraint knowledge base according to the fault feature tree; and constructing the power transmission equipment state evaluation model according to the state evaluation association constraint knowledge base.
9. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the method of evaluating a state of a power transmission line according to any one of claims 1 to 5 when executing the computer program.
10. A computer storage medium on which a computer program is stored, characterized in that the program, when executed by a processor, implements the transmission line condition evaluation method according to any one of claims 1 to 5.
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| CN109521327B (en) * | 2018-11-15 | 2021-03-30 | 贵州电网有限责任公司 | Distribution line fault reason comprehensive probability analysis method |
| CN111008961B (en) * | 2019-11-25 | 2021-10-19 | 深圳供电局有限公司 | Transmission line equipment defect detection method and system, equipment and medium thereof |
| CN112504348B (en) * | 2020-12-11 | 2023-07-25 | 厦门汇利伟业科技有限公司 | Object state display method and system integrating environmental factors |
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| CN103632024A (en) * | 2012-08-27 | 2014-03-12 | 国家电网公司 | Determination method and device for form of electric transmission line |
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| CN105975735A (en) * | 2016-07-19 | 2016-09-28 | 广西电网有限责任公司电力科学研究院 | Modeling method for assessing health state of power equipment |
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| US9252633B2 (en) * | 2012-12-21 | 2016-02-02 | General Electric Company | System and method for accelerated assessment of operational uncertainties in electrical power distribution systems |
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| CN104657914A (en) * | 2015-03-09 | 2015-05-27 | 云南电网公司昆明供电局 | Method for establishing mathematical model for evaluating operation state of overhead transmission line |
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Effective date of registration: 20200928 Address after: 510620 Tianhe District, Guangzhou, Tianhe South Road, No. two, No. 2, No. Patentee after: Guangzhou Power Supply Bureau of Guangdong Power Grid Co.,Ltd. Address before: 510620 Tianhe District, Guangzhou, Tianhe South Road, No. two, No. 2, No. Patentee before: GUANGZHOU POWER SUPPLY Co.,Ltd. |