CN108573061B - Power equipment state detection method and device, computer equipment and storage medium - Google Patents
Power equipment state detection method and device, computer equipment and storage medium Download PDFInfo
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- CN108573061B CN108573061B CN201810386349.1A CN201810386349A CN108573061B CN 108573061 B CN108573061 B CN 108573061B CN 201810386349 A CN201810386349 A CN 201810386349A CN 108573061 B CN108573061 B CN 108573061B
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Abstract
The application relates to a power equipment state detection method, a system, a computer device and a storage medium. The power equipment state detection method comprises the following steps: acquiring historical operating data of each to-be-detected power device; counting the historical access frequency of each power device according to the historical operation data; and selecting key attention equipment from the power equipment according to the historical access frequency, counting the access time distribution of the key attention equipment in a preset time period, and determining the state of the power equipment according to the access time distribution. The power equipment state detection method can be used for determining the detection object in a targeted manner, and the detection efficiency is improved.
Description
Technical Field
The present disclosure relates to the field of power system status detection technologies, and in particular, to a method and an apparatus for detecting a power system status, a computer device, and a storage medium.
Background
With the development of power system state detection technology, power equipment state detection technology has emerged. And the power equipment state detection is based on the equipment operation data accumulated by the power grid informatization construction, and the operation state of the power equipment is detected. The power equipment state detection can be used for guiding the development of power overhaul work.
The traditional method for detecting the state of the electric power equipment mainly detects the operation state of the electric power equipment according to defect data and experimental data generated in the operation process of the equipment. However, in the conventional power equipment state detection method, the detection data amount is large, the detection target pertinence is poor, and the working efficiency is low.
Disclosure of Invention
In view of the above, it is necessary to provide a power equipment state detection method, a device, a computer equipment and a storage medium capable of improving the work efficiency.
A power device status detection method, comprising:
acquiring historical operation data of each to-be-detected power device, wherein the historical operation data are all operation data recorded after the to-be-detected power device is put into operation;
counting the historical access frequency of each power device according to the historical operation data; the historical access frequency is the number of times that a user side accesses the to-be-detected electric equipment in unit time after the to-be-detected electric equipment is put into operation;
and selecting key attention equipment from the power equipment according to the historical access frequency, counting the access time distribution of the key attention equipment in a preset time period, and determining the state of the power equipment according to the access time distribution.
In one embodiment, after the step of counting the historical access frequency of each of the electrical devices according to the historical operating data, the method for detecting the state of the electrical device further includes:
drawing a weekly access statistical chart according to the historical access frequency, and determining the state of the power equipment according to the weekly access statistical chart; the weekly visit frequency statistical graph takes Monday to Sunday of a week as a vertical coordinate, takes 0 hour to 23 hours of a day as a horizontal coordinate, and draws an average visit frequency daily variation graph of each day in the week according to visit frequency in a coordinate area.
In one embodiment, the method for detecting the status of the electrical device, the step of determining the status of the electrical device according to the weekly access statistics, includes:
and analyzing periodic access characteristics of the power equipment according to the periodic access statistical chart, and predicting the state of the power equipment according to the periodic access characteristics.
In one embodiment, after the step of determining the status of the electrical device according to the weekly access profile, the method for detecting the status of the electrical device includes:
calling the equipment access times of each manufacturer corresponding to the numerical point by receiving a selected instruction of the numerical point on the weekly access statistical chart, and predicting the equipment state of each manufacturer at different time according to the equipment access times of each manufacturer;
and (4) according to the equipment states of various manufacturers at different times, the electric power equipment is guided to overhaul.
In one embodiment, the method for detecting the state of the electrical device, in the step of selecting a device of interest from the electrical devices according to the historical access frequency, includes:
and sequencing the historical access frequency to obtain the ranking of each power device, and selecting key attention devices from the power devices according to the ranking.
In an embodiment, the method for detecting the state of the electrical device, the step of selecting a device of major interest from the electrical devices according to the ranking, includes:
and sorting the historical access frequency in a descending order, selecting the power equipment with the top rank, and setting the power equipment with the top rank as the key attention equipment.
A power device state detection apparatus comprising:
the acquisition module is used for acquiring historical operation data of each to-be-detected electric equipment, wherein the historical operation data are all operation data recorded after the to-be-detected electric equipment is put into operation;
the statistical module is used for counting the historical access frequency of each power device according to the historical operation data; the historical access frequency is the number of times that a user side accesses the to-be-detected electric equipment in unit time after the to-be-detected electric equipment is put into operation;
and the selecting module is used for selecting key attention equipment from the electric power equipment according to the historical access frequency, counting the access time distribution of the key attention equipment in a preset time period, and determining the state of the electric power equipment according to the access time distribution.
In one embodiment, the power device state detection apparatus further includes:
the drawing module is used for drawing a weekly access statistical chart according to the historical access frequency and determining the state of the power equipment according to the weekly access statistical chart; the weekly visit frequency statistical chart takes Monday to Sunday of a week as a vertical coordinate, takes 0 hour to 23 hour of a day as a horizontal coordinate, and draws circles with different radiuses in a coordinate area according to visit times.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
acquiring historical operation data of each to-be-detected power device, wherein the historical operation data are all operation data recorded after the to-be-detected power device is put into operation;
counting the historical access frequency of each power device according to the historical operation data; the historical access frequency is the number of times that a user side accesses the to-be-detected electric equipment in unit time after the to-be-detected electric equipment is put into operation;
and selecting key attention equipment from the power equipment according to the historical access frequency, counting the access time distribution of the key attention equipment in a preset time period, and determining the state of the power equipment according to the access time distribution.
A computer-readable storage medium, on which a computer program is stored which, when executed by a processor, carries out the steps of:
acquiring historical operation data of each to-be-detected power device, wherein the historical operation data are all operation data recorded after the to-be-detected power device is put into operation;
counting the historical access frequency of each power device according to the historical operation data; the historical access frequency is the number of times that a user side accesses the to-be-detected electric equipment in unit time after the to-be-detected electric equipment is put into operation;
and selecting key attention equipment from the power equipment according to the historical access frequency, counting the access time distribution of the key attention equipment in a preset time period, and determining the state of the power equipment according to the access time distribution.
According to the embodiment, the historical access frequency of each power device is counted through the historical operation data, the key attention device is selected from the power devices according to the historical access frequency, the access time distribution of the key attention device in the preset time period is counted, the state of the power device is determined according to the access time distribution, the detection object can be determined in a targeted mode, and the detection efficiency is improved.
Drawings
FIG. 1 is a diagram of an exemplary embodiment of a power device state detection method;
FIG. 2 is a flow diagram illustrating a method for detecting a status of a power device according to one embodiment;
FIG. 3 is a diagram illustrating statistics of access frequency of a power device according to an embodiment;
FIG. 4 is a statistical graph of access frequency and access time of power equipment according to an embodiment;
FIG. 5 is a statistical representation of access frequency of the power equipment in one embodiment;
FIG. 6 is a schematic diagram of statistics of weekly access frequencies of power devices and statistics of vendor device access frequencies in one embodiment;
FIG. 7 is a block diagram showing a configuration of an apparatus for evaluating a state of an electric power device according to an embodiment;
FIG. 8 is a diagram illustrating an internal structure of a computer device according to an embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the present application and are not intended to limit the present application.
The power equipment state detection method provided by the application can be applied to the application environment shown in fig. 1. The terminal 101 and the server 102 communicate with each other via a network. The terminal 101 may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, and portable wearable devices, and the server 102 may be implemented by an independent server or a server cluster formed by a plurality of servers.
In one embodiment, as shown in fig. 2, a method for detecting a status of a power device is provided, which is described by taking the method as an example applied to the server 102 in fig. 1, and includes the following steps:
s201, obtaining historical operation data of each to-be-detected power device, wherein the historical operation data are all operation data recorded after the to-be-detected power device is put into operation;
in the above steps, the power equipment may be a main transformer, which is called a main transformer for short, a main step-down transformer mainly used for power transmission and transformation in a unit or a transformer substation, and is also a core part of the transformer substation. The transformer is a core device of the traction power supply system of the electric locomotive and is also a key device for ensuring the safe and stable operation of the traction power supply system.
S202, counting the historical access frequency of each power device according to historical operation data; the historical access frequency is the number of times that a user accesses the to-be-detected power equipment in unit time after the to-be-detected power equipment is put into operation;
in this step, the unit time may be one month or one week, the historical access frequency may be the number of times that the electrical equipment to be detected is accessed in one month or one week, and the unit time may be changed according to actual detection requirements.
S203, selecting key attention equipment from the power equipment according to the historical access frequency, counting the access time distribution of the key attention equipment in a preset time period, and determining the state of the power equipment according to the access time distribution.
In the above step, the power device with the highest historical access frequency may be selected and set as the focused device. The access time distribution of the electric power equipment in the preset time period can be called, and the electric power equipment can be detected in a targeted manner.
According to the embodiment, the historical access frequency of each power device is counted through the historical operation data, the key attention device is selected from the power devices according to the historical access frequency, the access time distribution of the key attention device in the preset time period is counted, the state of the power device is determined according to the access time distribution, the detection object can be determined in a targeted mode, and the detection efficiency is improved.
In one embodiment, the step of selecting the important attention device from the power devices according to the historical access frequency comprises the following steps: and sequencing the historical access frequency to obtain the ranking of each power device, and selecting key attention devices from the power devices according to the ranking.
In the above embodiment, as shown in fig. 3, the top-ranked device may be displayed on the interface, and it may be considered that the top-ranked device with the highest risk is accessed.
According to the embodiment, the historical access frequency of each power device is counted through the historical operation data, the key attention device is selected from the power devices according to the historical access frequency, the access time distribution of the key attention device in the preset time period is counted, the state of the power device is determined according to the access time distribution, the detection object can be determined in a targeted mode, and the detection efficiency is improved.
In one embodiment, the focus devices may be selected by: and (4) performing descending order arrangement on the historical access frequency, selecting the power equipment with the top rank, and setting the power equipment with the top rank as the key attention equipment.
In the above embodiment, the power device with the top rank may be set as the important attention device, and the access time distribution data of the corresponding important attention device in the preset time period may be called and plotted by receiving the selection operation of the column corresponding to the important attention device, and as shown in fig. 4, when the selection operation of a certain column in fig. 4(a) is received, the access time distribution in fig. 4(b) may be plotted. Fig. 4(b) is a graph plotting the device access time distribution from No. 29/10/2017 to No. 8/11/2017, and the number of device accesses at different times can be visually seen from the time distribution graph. The time period shown is not particularly limited herein.
According to the embodiment, the historical access frequency of each power device is counted through the historical operation data, the key attention device is selected from the power devices according to the historical access frequency, the access time distribution of the key attention device in the preset time period is counted, the state of the power device is determined according to the access time distribution, the detection object can be determined in a targeted mode, and the detection efficiency is improved.
In one embodiment, after step S202, the power device status may be determined by: drawing a weekly access statistical graph according to the historical access frequency, and determining the state of the power equipment according to the weekly access statistical graph; the weekly visit frequency statistical graph takes Monday to Sunday of a week as a vertical coordinate, takes 0 hour to 23 hours of a day as a horizontal coordinate, and draws an average visit frequency daily variation graph of each day in the week according to the visit frequency in a coordinate area.
In the above embodiment, as shown in fig. 5, the device access frequency statistics from monday to sunday are shown, and it may be counted which day of each week the device is most accessed. In fig. 3, circles are plotted in the coordinate region according to the average device access times per hour in 24 hours per day of the week, wherein the radius of each circle is proportional to the device access times.
According to the embodiment, the historical access frequency of each power device is counted through the historical operation data, the key attention device is selected from the power devices according to the historical access frequency, the access time distribution of the key attention device in the preset time period is counted, the state of the power device is determined according to the access time distribution, the detection object can be determined in a targeted mode, and the detection efficiency is improved.
In one embodiment, the step of determining the status of the electrical device from the weekly access profile comprises: and analyzing the periodic access characteristics of the power equipment according to the periodic access statistical chart, and predicting the state of the power equipment according to the periodic access characteristics.
In the embodiment, the statistical result of the equipment access frequency from monday to sunday can be displayed on the interface, the periodic rule of the equipment state can be summarized through observation and analysis of the statistical graph, and the maintenance work of the power equipment can be guided according to the periodic rule of the equipment state.
According to the embodiment, the historical access frequency of each power device is counted through the historical operation data, the key attention device is selected from the power devices according to the historical access frequency, the access time distribution of the key attention device in the preset time period is counted, the state of the power device is determined according to the access time distribution, the detection object can be determined in a targeted mode, and the detection efficiency is improved.
In one embodiment, after the step of determining the status of the electrical device from the weekly access profile, the following steps may be performed:
the method comprises the steps of calling the equipment access times of each manufacturer corresponding to a value point by receiving a selected instruction of the value point on a weekly access statistical chart, and predicting the equipment state of each manufacturer at different time according to the equipment access times of each manufacturer; and (4) according to the equipment states of various manufacturers at different times, the electric power equipment is guided to overhaul.
In the above embodiment, as shown in fig. 5, when a circle in the coordinate area in fig. 6(a) is received, the device access frequency of each manufacturer corresponding to the circle may be called, and as shown in fig. 6(b), the access frequency of each device of each manufacturer may be respectively drawn, so that the operating states of devices of different manufacturers may be intuitively displayed.
According to the embodiment, the historical access frequency of each power device is counted through the historical operation data, the key attention device is selected from the power devices according to the historical access frequency, the access time distribution of the key attention device in the preset time period is counted, the state of the power device is determined according to the access time distribution, the detection object can be determined in a targeted mode, and the detection efficiency is improved.
It should be understood that, although the steps in the flowchart of fig. 2 are shown in order as indicated by the arrows, the steps are not necessarily performed in order as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in fig. 2 may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
In one embodiment, as shown in fig. 7, there is provided a power equipment state detection apparatus including:
the obtaining module 71 is configured to obtain historical operation data of each to-be-detected power device, where the historical operation data is all operation data recorded after the to-be-detected power device is put into operation;
the statistical module 72 is used for counting the historical access frequency of each power device according to the historical operating data; the historical access frequency is the number of times that a user accesses the to-be-detected power equipment in unit time after the to-be-detected power equipment is put into operation;
the selecting module 73 is configured to select a key device of interest from the power devices according to the historical access frequency, count access time distribution of the key device of interest within a preset time period, and determine a state of the power device according to the access time distribution.
In one embodiment, the power device state detection apparatus further includes: the drawing module is used for drawing a weekly access statistical chart according to the historical access frequency and determining the state of the power equipment according to the weekly access statistical chart; the weekly visit frequency statistical chart takes Monday to Sunday of a week as a vertical coordinate, takes 0 hour to 23 hour of a day as a horizontal coordinate, and draws circles with different radiuses in a coordinate area according to the visit times.
For specific limitations of the power device status detection apparatus, reference may be made to the above limitations of the power device status detection method, which is not described herein again. All or part of each module in the power equipment state detection 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.
The terms "comprises" and "comprising," and any variations thereof, of embodiments of the present invention are intended to cover non-exclusive inclusions. For example, a process, method, system, article, or apparatus that comprises a list of steps or (module) elements is not limited to only those steps or elements but may alternatively include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the application. The appearances of the phrase in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. It is explicitly and implicitly understood by one skilled in the art that the embodiments described herein can be combined with other embodiments.
Reference herein to "a plurality" means two or more. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 8. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The database of the computer device is used for storing the state detection data of the electric power device. The network interface of the computer device is used for communicating with an external terminal through a network connection. The computer program is executed by a processor to implement a power device state detection method.
Those skilled in the art will appreciate that the architecture shown in fig. 8 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.
In one embodiment, a computer device is provided, comprising a memory, a processor, and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
acquiring historical operation data of each to-be-detected power device, wherein the historical operation data are all operation data recorded after the to-be-detected power device is put into operation;
according to the historical operation data, counting the historical access frequency of each power device; the historical access frequency is the number of times that a user accesses the to-be-detected power equipment in unit time after the to-be-detected power equipment is put into operation;
selecting key attention equipment from the power equipment according to historical access frequency, counting access time distribution of the key attention equipment in a preset time period, and determining the state of the power equipment according to the access time distribution.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
drawing a weekly access statistical graph according to the historical access frequency, and determining the state of the power equipment according to the weekly access statistical graph; the weekly visit frequency statistical graph takes Monday to Sunday of a week as a vertical coordinate, takes 0 hour to 23 hours of a day as a horizontal coordinate, and draws an average visit frequency daily variation graph of each day in the week according to the visit frequency in a coordinate area.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and analyzing the periodic access characteristics of the power equipment according to the periodic access statistical chart, and predicting the state of the power equipment according to the periodic access characteristics.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
the method comprises the steps of calling the equipment access times of each manufacturer corresponding to a numerical point by receiving a selected instruction of the numerical point on a weekly access statistical chart, and predicting the equipment state of each manufacturer at different time according to the equipment access times of each manufacturer;
and (4) according to the equipment states of various manufacturers at different times, the electric power equipment is guided to overhaul.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and sequencing the historical access frequency to obtain the ranking of each power device, and selecting key attention devices from the power devices according to the ranking.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and (4) performing descending order arrangement on the historical access frequency, selecting the power equipment with the top rank, and setting the power equipment with the top rank as the key attention equipment.
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 historical operation data of each to-be-detected power device, wherein the historical operation data are all operation data recorded after the to-be-detected power device is put into operation;
according to the historical operation data, counting the historical access frequency of each power device; the historical access frequency is the number of times that a user accesses the to-be-detected power equipment in unit time after the to-be-detected power equipment is put into operation;
selecting key attention equipment from the power equipment according to historical access frequency, counting access time distribution of the key attention equipment in a preset time period, and determining the state of the power equipment according to the access time distribution.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
drawing a weekly access statistical graph according to the historical access frequency, and determining the state of the power equipment according to the weekly access statistical graph; the weekly visit frequency statistical graph takes Monday to Sunday of a week as a vertical coordinate, takes 0 hour to 23 hours of a day as a horizontal coordinate, and draws an average visit frequency daily variation graph of each day in the week according to the visit frequency in a coordinate area.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and analyzing the periodic access characteristics of the power equipment according to the periodic access statistical chart, and predicting the state of the power equipment according to the periodic access characteristics.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
the method comprises the steps of calling the equipment access times of each manufacturer corresponding to a numerical point by receiving a selected instruction of the numerical point on a weekly access statistical chart, and predicting the equipment state of each manufacturer at different time according to the equipment access times of each manufacturer;
and (4) according to the equipment states of various manufacturers at different times, the electric power equipment is guided to overhaul.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and sequencing the historical access frequency to obtain the ranking of each power device, and selecting key attention devices from the power devices according to the ranking.
In one embodiment, the processor, when executing the computer program, further performs the steps of:
and (4) performing descending order arrangement on the historical access frequency, selecting the power equipment with the top rank, and setting the power equipment with the top rank as the key attention equipment.
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 related to 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).
The technical features of the above embodiments can be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the above embodiments are not described, but should be considered as the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above examples only express several embodiments of the present application, 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 concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (11)
1. A method for detecting the state of an electric power device is characterized by comprising the following steps:
acquiring historical operation data of each to-be-detected power device, wherein the historical operation data are all operation data recorded after the to-be-detected power device is put into operation;
counting the historical access frequency of each power device according to the historical operation data; the historical access frequency is the number of times that a user side accesses the to-be-detected electric equipment in unit time after the to-be-detected electric equipment is put into operation;
selecting key attention equipment from the power equipment according to the historical access frequency, counting access time distribution of the key attention equipment in a preset time period, and determining the state of the power equipment according to the access time distribution;
the step of selecting key attention devices from the power devices according to the historical access frequency, counting access time distribution of the key attention devices in a preset time period, and determining the states of the power devices according to the access time distribution comprises the following steps:
displaying the power equipment with the historical access frequency ranked at the top on an interface, and taking the power equipment with the historical access frequency ranked at the top as key attention equipment;
after receiving a cylindrical selection operation corresponding to the key attention equipment, calling access time distribution data of the corresponding key attention equipment in a preset time period, and drawing an equipment access time distribution map;
and determining the state of the electric power equipment according to the access time distribution in the equipment access time distribution map.
2. The method according to claim 1, wherein the step of selecting a device of interest from the power devices according to the historical access frequency comprises:
and sequencing the historical access frequency to obtain the ranking of each power device, and selecting key attention devices from the power devices according to the ranking.
3. The method according to claim 2, wherein the step of selecting the important attention device from the power devices according to the ranking comprises:
and sorting the historical access frequency in a descending order, selecting the power equipment with the top rank, and setting the power equipment with the top rank as the key attention equipment.
4. A method for detecting the state of an electric power device is characterized by comprising the following steps:
acquiring historical operation data of each to-be-detected power device, wherein the historical operation data are all operation data recorded after the to-be-detected power device is put into operation;
counting the historical access frequency of each power device according to the historical operation data; the historical access frequency is the number of times that a user side accesses the to-be-detected electric equipment in unit time after the to-be-detected electric equipment is put into operation;
drawing a weekly access frequency statistical graph according to the historical access frequency, and determining the state of the power equipment according to the weekly access frequency statistical graph; the weekly visit frequency statistical graph takes Monday to Sunday of a week as a vertical coordinate, takes 0 hour to 23 hours of a day as a horizontal coordinate, and draws an average visit frequency daily variation graph of each day in the week according to visit frequencies in a coordinate area; the weekly access frequency statistical chart comprises circles drawn in a coordinate region according to the average device access times of each hour within 24 hours each day in a week, and the radius size of each circle is in direct proportion to the device access times.
5. The power device status detection method according to claim 4, wherein the step of determining the power device status from the weekly access frequency histogram comprises:
and analyzing the periodic access characteristics of the power equipment according to the periodic access frequency statistical chart, and predicting the state of the power equipment according to the periodic access characteristics.
6. The power device status detection method according to claim 4, wherein the step of determining the power device status from the weekly access frequency histogram is followed by the step of:
the method comprises the steps of receiving a selected instruction of a numerical point on a weekly access frequency statistical graph, calling the equipment access times of each manufacturer corresponding to the numerical point, and predicting the equipment state of each manufacturer at different time according to the equipment access times of each manufacturer;
and (4) according to the equipment states of various manufacturers at different times, the electric power equipment is guided to overhaul.
7. An electric power equipment state detection device, characterized by comprising:
the acquisition module is used for acquiring historical operation data of each to-be-detected electric equipment, wherein the historical operation data are all operation data recorded after the to-be-detected electric equipment is put into operation;
the statistical module is used for counting the historical access frequency of each power device according to the historical operation data; the historical access frequency is the number of times that a user side accesses the to-be-detected electric equipment in unit time after the to-be-detected electric equipment is put into operation;
the selection module is used for selecting key attention equipment from the electric power equipment according to the historical access frequency, counting the access time distribution of the key attention equipment in a preset time period, and determining the state of the electric power equipment according to the access time distribution;
the selection module is further used for displaying the power equipment with the historical access frequency ranked at the top on the interface, and taking the power equipment with the historical access frequency ranked at the top as key attention equipment; after receiving a cylindrical selection operation corresponding to the key attention equipment, calling access time distribution data of the corresponding key attention equipment in a preset time period, and drawing an equipment access time distribution map; and determining the state of the electric power equipment according to the access time distribution in the equipment access time distribution map.
8. The power equipment state detection device according to claim 7, characterized by further comprising:
the drawing module is used for drawing a weekly access frequency statistical graph according to the historical access frequency and determining the state of the power equipment according to the weekly access frequency statistical graph; the weekly visit frequency statistical chart takes Monday to Sunday of a week as a vertical coordinate, takes 0 hour to 23 hour of a day as a horizontal coordinate, and draws circles with different radiuses in a coordinate area according to visit times.
9. An electric power equipment state detection device, characterized by comprising:
the acquisition module is used for acquiring historical operation data of each to-be-detected electric equipment, wherein the historical operation data are all operation data recorded after the to-be-detected electric equipment is put into operation;
the statistical module is used for counting the historical access frequency of each power device according to the historical operation data; the historical access frequency is the number of times that a user side accesses the to-be-detected electric equipment in unit time after the to-be-detected electric equipment is put into operation;
the selection module is used for drawing a weekly access frequency statistical graph according to the historical access frequency and determining the state of the power equipment according to the weekly access frequency statistical graph; the weekly visit frequency statistical graph takes Monday to Sunday of a week as a vertical coordinate, takes 0 hour to 23 hours of a day as a horizontal coordinate, and draws an average visit frequency daily variation graph of each day in the week according to visit frequencies in a coordinate area; the weekly access frequency statistical chart comprises circles drawn in a coordinate region according to the average device access times of each hour within 24 hours each day in a week, and the radius size of each circle is in direct proportion to the device access times.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, characterized in that the processor implements the steps of the power device status detection method according to any one of claims 1 to 6 when executing the computer program.
11. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the power device status detection method according to any one of claims 1 to 6.
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| CN102456417B (en) * | 2010-10-21 | 2014-12-10 | 中国广东核电集团有限公司 | Method and system for nuclear power equipment state monitoring |
| US10121210B2 (en) * | 2012-09-05 | 2018-11-06 | Apple Inc. | Tracking power states of a peripheral device |
| CN103529777B (en) * | 2013-09-30 | 2016-06-29 | 中国南方电网有限责任公司调峰调频发电公司 | Reliability data of power equipment automatic setting method and system |
| CN103927585A (en) * | 2013-12-11 | 2014-07-16 | 江苏安方电力科技有限公司 | Method for protecting data analysis tool of reactive voltage control system |
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| CN105021917B (en) * | 2015-06-05 | 2018-01-26 | 中国电力科学研究院 | A kind of status of electric power detection method based on IPV6 mobile terminals and RFID label tag |
| CN107798396A (en) * | 2017-10-23 | 2018-03-13 | 国家电网公司 | A kind of power equipment automation apparatus for examination and repair and method |
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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. |