CN116381417A - Intelligent analysis method and device for power transmission equipment, computer equipment and storage medium - Google Patents
Intelligent analysis method and device for power transmission equipment, computer equipment and storage medium Download PDFInfo
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- G01R31/08—Locating faults in cables, transmission lines, or networks
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- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J13/00—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network
- H02J13/00002—Circuit arrangements for providing remote indication of network conditions, e.g. an instantaneous record of the open or closed condition of each circuitbreaker in the network; Circuit arrangements for providing remote control of switching means in a power distribution network, e.g. switching in and out of current consumers by using a pulse code signal carried by the network characterised by monitoring
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Abstract
The application relates to an intelligent analysis method, an intelligent analysis device, computer equipment and a storage medium of power transmission equipment, wherein the power transmission equipment and running state data of a power transmission line where the power transmission equipment is located are acquired through an on-line monitoring module. On one hand, according to the fault components of positive sequence current and the phase relation between zero sequence current and negative sequence current in the running state data, determining whether a fault point and a fault type exist in the power transmission equipment and the power transmission line where the power transmission equipment is located, and on the other hand, according to the situation that the fault exists, calculating the running state data of two ends of the power transmission line based on a double-end ranging method, and determining the position information of the fault point. The fault type is identified and classified, the position of the fault is accurately determined, the intelligent level of analysis of the power transmission equipment is remarkably improved, and an operator can conveniently and accurately monitor the fault existing in the power transmission equipment in time in actual monitoring.
Description
Technical Field
The application relates to the technical field of power transmission equipment state monitoring and operation maintenance management, in particular to an intelligent analysis method and device for power transmission equipment, computer equipment and a storage medium.
Background
The analysis system of the power transmission equipment is taken as important content of the intelligent power grid construction in the power transmission link, and is an important technical means for realizing the state operation maintenance management of the power transmission equipment and improving the professional production operation management lean level of the power transmission and lifting power transmission lines. At present, an intelligent analysis system of power transmission equipment collects data through various sensors on a power transmission line and transmits the monitored data to a main station system in a communication mode so as to realize real-time sensing and monitoring of the running states of various power grid equipment.
However, the existing analysis system of the power transmission equipment is insufficient in intelligent degree, and is difficult to meet actual monitoring requirements.
Disclosure of Invention
In view of the foregoing, it is desirable to provide an intelligent analysis method, apparatus, computer device, and storage medium for a power transmission device.
In a first aspect, the present application provides an intelligent analysis method for a power transmission device, including:
acquiring running state data of power transmission equipment and a power transmission line where the power transmission equipment is located, wherein the running state data is acquired by an online monitoring module;
determining whether a fault point and a fault type exist in the power transmission equipment and a power transmission line where the power transmission equipment is positioned according to the fault component of the positive sequence current in the running state data and the phase relation between the zero sequence current and the negative sequence current;
if the fault point is judged to exist, the operation state data of the two ends of the power transmission line are calculated based on the double-end ranging method, and the position information of the fault point is determined.
In one embodiment, the intelligent analysis method of the power transmission device further includes:
determining depth monitoring information of the power transmission equipment according to the operation state data of the power transmission equipment;
and determining a repair management signal or a record management signal corresponding to the power transmission equipment based on the depth monitoring information.
In one embodiment, the depth monitoring information includes a temperature level, a power transmission variable, and a partial discharge variable, the temperature level representing a ratio between an operating temperature and an ambient temperature, the power transmission variable representing a difference between an actual output voltage and a rated output voltage, the partial discharge variable representing an actual total partial discharge amount, the method further comprising:
determining a depth safety index according to the temperature change magnitude, the power transmission variable and the partial discharge variable;
if the depth safety index of the power transmission equipment is larger than a preset value, generating a repair management signal of the power transmission equipment;
and when the depth safety index of the power transmission equipment is smaller than or equal to a preset value, generating a record management signal of the power transmission equipment.
In one embodiment, after the step of determining whether the power transmission equipment and the power transmission line where the power transmission equipment is located have the fault point and the fault type according to the fault component of the positive sequence current and the phase relation between the zero sequence current and the negative sequence current in the operation state data, the method further includes:
extracting and marking voltage data and current data which are in a normal current range and are out of a normal voltage range in the running state data;
and processing the extracted and marked voltage data and current data based on the zonal phase selection and fuzzy rule of the sequence current, and determining whether a fault point and a fault type exist in the power transmission equipment and the power transmission line where the power transmission equipment is positioned.
In one embodiment, the intelligent analysis method of the power transmission device further includes:
acquiring a patrol image acquired by an online monitoring module, wherein the patrol image comprises at least one power transmission device and a power transmission line where the power transmission device is located;
grouping the inspection images according to a preset rule to obtain a plurality of image groups;
determining the integral characteristic corresponding to each image in each image group; the overall characteristics include voltage class, line name and line number;
screening out repeated images in each image group, and respectively determining detail characteristics of the images in the screened image groups by using a space grid method, wherein the detail characteristics comprise phase sequences corresponding to the divided space grids based on each image in each image group;
and naming each image according to the overall characteristic and the detail characteristic to obtain a named image.
In one embodiment, the intelligent analysis method of the power transmission device further includes:
and filtering the running state data.
In one embodiment, the intelligent analysis method of the power transmission device further includes:
if the fault point is judged to exist, generating and sending early warning information to the terminal.
In a second aspect, there is provided an intelligent analysis device for a power transmission apparatus, the device comprising:
the data acquisition module is used for acquiring the running state data of the power transmission equipment and the power transmission line where the power transmission equipment is located, which are acquired by the online monitoring module;
the power transmission line fault type identification module is used for determining whether a fault point and a fault type exist in power transmission equipment and a power transmission line where the power transmission equipment is positioned according to a fault component of positive sequence current and a phase relation between zero sequence current and negative sequence current in the running state data;
and the fault position determining module is used for calculating the running state data of the two ends of the power transmission line based on the double-end ranging method and determining the position information of the fault point when the fault point is judged to exist.
In a third aspect, the present application provides a computer device comprising a memory storing a computer program and a processor executing the above method.
In a fourth aspect, a computer readable storage medium is provided, having stored thereon a computer program for execution by a processor of the above method.
According to the intelligent analysis method, the intelligent analysis device, the intelligent analysis computer equipment and the intelligent analysis storage medium for the power transmission equipment, the power transmission equipment and the running state data of the power transmission line where the power transmission equipment is located are acquired through the on-line monitoring module. On one hand, according to the fault components of positive sequence current and the phase relation between zero sequence current and negative sequence current in the running state data, determining whether a fault point and a fault type exist in the power transmission equipment and the power transmission line where the power transmission equipment is located, and on the other hand, according to the situation that the fault exists, calculating the running state data of two ends of the power transmission line based on a double-end ranging method, and determining the position information of the fault point. The fault type is identified and classified, the position of the fault is accurately determined, the intelligent level of analysis of the power transmission equipment is remarkably improved, and an operator can conveniently and accurately monitor the fault existing in the power transmission equipment in time in actual monitoring.
Drawings
Fig. 1 is a flow chart of a method of intelligent analysis of a power transmission device in one embodiment;
FIG. 2 is a block diagram of an intelligent analysis device of a power transmission apparatus in one embodiment;
FIG. 3 is an internal block diagram of a computer device in one embodiment.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
Reference in the specification to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the application. The appearances of such phrases 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. Those of skill in the art will explicitly and implicitly understand that the embodiments described herein may be combined with other embodiments.
In a first aspect, the present application provides an intelligent analysis method for a power transmission device, as shown in fig. 1, including:
s102, acquiring the running state data of the power transmission equipment and the power transmission line where the power transmission equipment is located, wherein the running state data are acquired by the on-line monitoring module. The operational status data includes, but is not limited to, voltage, current, etc.
S104, determining whether a fault point and a fault type exist in the power transmission equipment and the power transmission line where the power transmission equipment is positioned according to the fault component of the positive sequence current in the running state data and the phase relation between the zero sequence current and the negative sequence current. Wherein determining whether a failure point exists may be accomplished by an RBF (radical basis function, radial basis function) neural network. Specifically, the RBFNN model can be built for monitoring the faults of the transmission line, RBF neural network training is performed based on the data of the historical fault events, whether the faults and the RBPNN model of the fault type exist or not can be determined, and in the follow-up monitoring process, the fault components of the positive sequence current and the ratio correlation of the zero sequence current and the negative sequence current can be directly input into the RBPNN model to obtain the judging result of whether the fault points exist or not and the fault type. Because the operation speed is high, the fault monitoring of the power transmission equipment and the real-time running state data on the power transmission line can be supported.
Specifically, the phase selection of the sequence current can be used as a phase selection element in the oscillation locking period, so that the fault component of the positive sequence current and the ratio correlation between the zero sequence current and the negative sequence current are used for carrying out fault type identification, the phase selection principle of combining voltage quantity and current quantity is used, the zero sequence voltage, the negative sequence voltage and the positive sequence voltage are adopted for carrying out phase selection, the fault type identification is carried out by a method of linking fuzzy sets, the acquired current and voltage during the fault are subjected to fuzzy processing, corresponding membership value is given, and then the fault type is determined according to the change rule of A, B, C three-phase voltage and current and the zero sequence current during the line fault.
In order to reduce the influence of load current, fault phase selection is carried out by adopting fault components of positive sequence current and the phase relation between zero sequence and negative sequence current, and for single-phase current, the action equation is as follows:
wherein, the liquid crystal display device comprises a liquid crystal display device,
ix, which represents a complex argument operator, is the current.
Different data are acquired by the hierarchical fault type identification method based on fuzzy rules, voltages and currents after faults occur are filtered to obtain corresponding fundamental frequency components, then the fundamental frequency components are decomposed according to a symmetrical component method to obtain sequence components, the fundamental frequency components and the sequence components of the currents are fuzzified, corresponding fuzzy membership degrees are given, and the fuzzy membership degrees are divided into three types:
when the zero sequence current is small and the negative sequence current is large, the fault type belongs to a two-phase short circuit;
when the zero sequence current and the negative sequence current are both large, the fault type belongs to a grounding short circuit;
when the zero sequence and the negative sequence currents are smaller, the three-phase short circuit or no fault exists.
For example, the two-phase short circuit can be classified into an AB phase short circuit, a BC phase short circuit, and a CA phase short circuit, and the specific judgment formulas are as follows:
BC ground fault:
CA ground fault:
AB ground fault:
in the method, in the process of the invention,
refers to->
，/>
Is->
Phase angle difference of any two amounts of the phase angle, no zero sequence current is present for two-phase faults, such as a short circuit of the BC phase, but at this point in time the A phase-/is>
And->
In phase, whereas BC two phases- & lt- & gt>
And->
The differences are 120 degrees respectively, still satisfying the formula:
the CA phase and AB phase may be shorted by analogy, and will not be described in detail herein. For three-phase faults, when zero sequence and negative sequence currents are not available, the effective value of voltage and current after the faults is compared with the effective value in normal state to obtain a conclusion, and the ground short circuit, the three-phase short circuit and the barrier-free judgment can be analogized.
And S106, if the fault point is judged to exist, calculating the running state data of the two ends of the power transmission line based on the double-end ranging method, and determining the position information of the fault point. The location information may include, but is not limited to, the location of the fault point, the distance of the fault point.
The running state data of the two ends of the power transmission line are calculated based on the double-end ranging method, parameters of the high-voltage power transmission line can be collected, and two PI type equivalent circuits are used for simulating and listing fault point voltage equations. And solving the equation to obtain solutions of two fault distances of the real part and the imaginary part, and taking the solutions which are the same or similar to the real fault distance to determine the position information of the fault point.
Under dynamic conditions, the positive sequence current amplitude of the first end of the transmission line
Positive and negative directionsSequence voltage amplitude->
The method comprises the steps of carrying out a first treatment on the surface of the Positive sequence current amplitude at a second end (opposite end) of the transmission line
Positive sequence voltage amplitude->
T is time, < >>
For the angular frequency of the system:
defining the dynamic positive sequence impedance of the first end as
：
Defining the dynamic positive sequence impedance of the first end as
：
Defining the dynamic positive sequence resistance of the second end as
：
Defining the dynamic positive sequence admittance of the second end as
：
Wherein R is positive sequence resistance of unit route length,
Inductance per unit of line length, < >>
Conductance in unit route length, < >>
Capacitance per unit of line length. And respectively obtaining solutions of two fault distances by using the real part and the imaginary part of the equation, wherein the same or similar solutions are the real fault distances.
Alternatively, a neural network may be used to learn and memorize a one-to-one mapping relationship between single-ended information (operation state data of the first end and the second end, position information, etc.) of the transmission line and position information of the fault point when the fault occurs. In the follow-up monitoring process, the position information of the fault point can be rapidly determined according to the mapping relation as long as the single-end information is known.
Specifically, according to the intelligent analysis method for the power transmission equipment, the power transmission equipment and the running state data of the power transmission line where the power transmission equipment is located, which are collected by the online monitoring module, are obtained. On one hand, according to the fault components of positive sequence current and the phase relation between zero sequence current and negative sequence current in the running state data, determining whether a fault point and a fault type exist in the power transmission equipment and the power transmission line where the power transmission equipment is located, and on the other hand, according to the situation that the fault exists, calculating the running state data of two ends of the power transmission line based on a double-end ranging method, and determining the position information of the fault point. The fault type is identified and classified, the position of the fault is accurately determined, the intelligent level of analysis of the power transmission equipment is remarkably improved, and an operator can conveniently and accurately monitor the fault existing in the power transmission equipment in time in actual monitoring.
In one embodiment, the intelligent analysis method of the power transmission device further includes:
determining depth monitoring information of the power transmission equipment according to the operation state data of the power transmission equipment;
and determining a repair management signal or a record management signal corresponding to the power transmission equipment based on the depth monitoring information.
In one embodiment, the depth monitoring information includes a temperature level, a power transmission variable, and a partial discharge variable, the temperature level representing a ratio between an operating temperature and an ambient temperature, the power transmission variable representing a difference between an actual output voltage and a rated output voltage, the partial discharge variable representing an actual total partial discharge amount, the method further comprising:
determining a depth safety index according to the temperature change magnitude, the power transmission variable and the partial discharge variable;
if the depth safety index of the power transmission equipment is larger than a preset value, generating a repair management signal of the power transmission equipment;
and when the depth safety index of the power transmission equipment is smaller than or equal to a preset value, generating a record management signal of the power transmission equipment.
In one embodiment, after the step of determining whether the power transmission equipment and the power transmission line where the power transmission equipment is located have the fault point and the fault type according to the fault component of the positive sequence current and the phase relation between the zero sequence current and the negative sequence current in the operation state data, the method further includes:
extracting and marking voltage data and current data which are in a normal current range and are out of a normal voltage range in the running state data;
and processing the extracted and marked voltage data and current data based on the zonal phase selection and fuzzy rule of the sequence current, and determining whether a fault point and a fault type exist in the power transmission equipment and the power transmission line where the power transmission equipment is positioned.
In one embodiment, the intelligent analysis method of the power transmission device further includes:
acquiring a patrol image acquired by an online monitoring module, wherein the patrol image comprises at least one power transmission device and a power transmission line where the power transmission device is located;
grouping the inspection images according to a preset rule to obtain a plurality of image groups;
determining the integral characteristic corresponding to each image in each image group; the overall characteristics include voltage class, line name and line number;
screening out repeated images in each image group, and respectively determining detail characteristics of the images in the screened image groups by using a space grid method, wherein the detail characteristics comprise phase sequences corresponding to the divided space grids based on each image in each image group;
and naming each image according to the overall characteristic and the detail characteristic to obtain a named image.
Based on the transmission line inspection task, a task information table of an inspection object (each transmission line and each transmission device) can be established in advance, and an acquired inspection image can be obtained in the monitoring process. All images are grouped according to preset rules such as shooting time intervals of the images or types of the power transmission equipment, a plurality of image groups are obtained and correspond to the patrol objects (the power transmission equipment and the power transmission lines thereof), and the correspondence can be realized by binding and storing during data storage.
Based on the grouped images, the overall characteristics corresponding to each image in the image group can be determined, including but not limited to voltage class, line name, line number, and the like.
And further screening out repeated images in each group of image groups, respectively judging the detail characteristics of each group of image groups by using a space grid method, projecting each image in the image groups into a vertical plane according to the space coordinates of each image, dividing a space grid in the vertical plane based on the detail characteristics of the inspection object, determining the phase sequence of each divided space grid based on each image in each group of image groups, naming each image by the corresponding overall characteristics and the detail characteristics, and obtaining the named image.
By determining the integral characteristic and the detail characteristic, the equipment name, the type, the line name, the line type, parameters based on phase sequence division, indexes and the like can be identified from the inspection image, and the equipment record data can be used as the next step, and can be synchronously sent to the terminal as part of early warning information when faults occur, so that management staff can comprehensively know the conditions of the power transmission equipment and the line where the power transmission equipment is located.
In one embodiment, the intelligent analysis method of the power transmission device further includes:
and filtering the running state data.
The signal sampling value at the current moment is S (kΔt) and the nth sampling value before the current moment is S (kΔt-nΔt) can be acquired by a filter (for example, a differential filter) in the device for executing the method, and the time domain formula of the differential filter is:
Y（KΔT) = S(KΔT)-S(KΔT-nΔT)
wherein, deltaT is the sampling interval, Y (K deltaT) is the difference between the current sampling value and the nth sampling value, and the sampling value is subtracted once to eliminate the DC component. The influence of the high-frequency component can be effectively restrained based on a Fourier algorithm, the influence of the attenuated direct-current component can be effectively reduced by a differential filter, the two components are combined to form a differential fusion Fourier algorithm, fault current and fault voltage are processed, the value of the fundamental component is calculated according to the following formula, and an accurate filtering effect value is obtained:
wherein U is r For the data value of the fundamental component, N is the total sampling frequency of the differential filter, K is fault current data generated by power transmission equipment (such as high-voltage power transmission equipment), and u o U is the line voltage value before the transmission line (such as a high-voltage transmission line) starts to transmit power -1 U is the voltage value measured when the transmission line fails k-1 U is the voltage value of the transmission line measured by the k-1 th time through the differential filter k The voltage value of the transmission line measured by the differential filter for the kth time.
The filtering link can be applied to each data transmission process of the intelligent analysis method of the power transmission equipment, and can improve data reliability, so that the accuracy of a next link result is ensured.
In one embodiment, the intelligent analysis method of the power transmission device further includes:
dividing the range of the power network into a plurality of jurisdictions by utilizing the topology information of the power grid;
acquiring electromagnetic wave signals representing lightning conditions through meteorological data detection devices installed on monitoring nodes in all jurisdictions;
and judging whether lightning occurs in each jurisdiction according to the acquired electromagnetic wave signals and a preset signal threshold value. Specifically, when the electromagnetic wave signal monitored in the jurisdiction is higher than the signal threshold value, determining that lightning occurs in the jurisdiction. At this time, data collected by all weather data detection devices in the district where lightning occurs can be further obtained, when three or more weather data detection devices are provided in the district where lightning occurs, an acoustic wave detection unit can be provided on each weather data detection device, the acoustic wave detection unit can send and receive acoustic waves, and lightning occurrence points can be determined according to acoustic wave information collected by the acoustic wave detection unit (which can be determined by adopting algorithms such as flight time and the like, and will not be described here).
When the number of meteorological data detection devices in the district where lightning occurs is less than three, the lightning occurrence point can be determined according to the acoustic wave information collected by the acoustic wave detection unit and the lightning image collected by the image collection device.
In one embodiment, the intelligent analysis method of the power transmission device further includes:
if the fault point is judged to exist, generating and sending early warning information to the terminal. The early warning information may include, but is not limited to, an early warning prompt, where the early warning prompt is used to prompt the user that the power transmission device and the power transmission line where the power transmission device is located are faulty and maintenance is required. The early warning information can also comprise fault types, position information of fault points, depth monitoring information, named images, overall characteristics, detail characteristics and the like. And early warning information is sent out at the first time of finding abnormal data, and an emergency department is informed of emergency treatment, so that the operation safety of the power transmission line of the power grid is ensured.
The terminal can be a terminal device such as a mobile phone, a tablet, a notebook, a wearable device and the like of a manager. The mode of sending the early warning information to the terminal can include, but is not limited to, short messages, instant messaging APP messages, mails, links, dedicated APP prompts, and the like.
In one embodiment, the method further comprises:
and under the condition that the fault point is judged to exist, calculating the running state data again according to the safety running standard of the power transmission line of the power grid, and judging whether the real-time running state of the power transmission line is safe or not.
If the judgment is unsafe, the judgment result of the fault point is considered to be correct, and the phenomenon of false alarm can be prevented by a secondary verification mode, so that the accuracy of the monitoring system is enhanced, and accurate calculation is made for subsequent rapid fault detection.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
In one embodiment, as shown in fig. 2, there is provided an intelligent analysis apparatus of a power transmission device, including: a data acquisition module 202, a transmission line fault type identification module 204, and a fault location determination module 206.
The data acquisition module 202 acquires the operation state data of the power transmission equipment and the power transmission line where the power transmission equipment is located, the operation state data is sent to the power transmission line fault type identification module 204, the power transmission line fault type identification module 204 determines whether the power transmission equipment and the power transmission line where the power transmission equipment is located have fault points and fault types according to the fault components of positive sequence currents and the specific phase relation between zero sequence currents and negative sequence currents in the operation state data, the result is output to the fault position determination module 206, and the fault position determination module 206 calculates the operation state data of two ends of the power transmission line based on a double-end ranging method when judging that the fault points exist, and determines the position information of the fault points.
In one embodiment, the intelligent analysis device of the power transmission apparatus further includes:
the depth monitoring information determining module is used for determining depth monitoring information of the power transmission equipment according to the operation state data of the power transmission equipment;
and the management signal generation module is used for determining a repair management signal or a record management signal corresponding to the power transmission equipment based on the depth monitoring information.
In one embodiment, the depth monitoring information includes a temperature change level, a power transmission variable and a partial discharge variable, the temperature change level represents a ratio between an operating temperature and an ambient temperature, the power transmission variable represents a difference between an actual output voltage and a rated output voltage, the partial discharge variable represents an actual total partial discharge amount, and the apparatus further includes:
the depth safety index determining module is used for determining a depth safety index according to the temperature change magnitude, the power transmission variable and the partial discharge variable;
the repair management signal generation module is used for generating a repair management signal of the power transmission equipment when the depth safety index of the power transmission equipment is larger than a preset value;
and the record management signal generation module is used for generating a record management signal of the power transmission equipment when the depth safety index of the power transmission equipment is smaller than or equal to a preset value.
In one embodiment, the apparatus further includes:
the abnormal data extraction and labeling module is used for extracting and labeling voltage data and current data which are in a normal current range and are out of a normal voltage range in the running state data;
and the abnormal data secondary verification module is used for processing the extracted and marked voltage data and current data based on the zonal phase selection and fuzzy rule of the sequence current and determining whether a fault point and a fault type exist in the power transmission equipment and the power transmission line where the power transmission equipment is positioned.
In one embodiment, the intelligent analysis device of the power transmission apparatus further includes:
the inspection image acquisition module is used for acquiring an inspection image acquired by the online monitoring module, wherein the inspection image comprises at least one power transmission device and a power transmission line where the power transmission device is positioned;
the image grouping module is used for grouping the inspection images according to a preset rule to obtain a plurality of image groups;
the overall characteristic determining module is used for determining overall characteristics corresponding to each image in each image group; the overall characteristics include voltage class, line name and line number;
the detail characteristic determining module is used for screening out repeated images in each image group, and determining detail characteristics of the images in the screened image groups by utilizing a space grid method, wherein the detail characteristics comprise phase sequences corresponding to each image in each image group by the divided space grid;
and the image naming module is used for naming each image according to the overall characteristic and the detail characteristic to obtain a named image.
In one embodiment, the intelligent analysis device of the power transmission apparatus further includes:
and the filtering module is used for carrying out filtering processing on the running state data.
In one embodiment, the intelligent analysis device of the power transmission apparatus further includes:
and the early warning module is used for generating and sending early warning information to the terminal when judging that the fault point exists.
The specific definition of the intelligent analysis device of the power transmission apparatus may be referred to the definition of the intelligent analysis method of the power transmission apparatus hereinabove, and will not be described herein. The above-mentioned individual modules in the intelligent analysis device of the power transmission apparatus may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure of which may be as shown in fig. 3. The computer device includes a processor, a memory, a communication interface, a display screen, and an input device 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 includes a non-volatile storage medium and 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 the operating system and computer programs in the non-volatile storage media. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer equipment also comprises an input/output interface, wherein the input/output interface is a connecting circuit for exchanging information between the processor and the external equipment, and the input/output interface is connected with the processor through a bus and is called as an I/O interface for short. The computer program, when executed by a processor, implements a method for intelligent analysis of a power transmission device. The display screen of the computer equipment can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be keys, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 3 is merely a block diagram of some of the structures associated with the present application and is not limiting of the computer device to which the present application may be applied, and that a particular computer device may include more or fewer components than shown, or may combine certain components, or have a different arrangement of components.
In one embodiment, a computer device is provided, comprising a memory storing a computer program and a processor implementing the steps of the method embodiments described above when the processor executes the computer program.
In one embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when executed by a processor, carries out the steps of the respective method embodiments described above.
In one embodiment, a computer program product is provided, on which a computer program is stored, which computer program is executed by a processor for performing the steps of the various method embodiments described above.
Those skilled in the art will appreciate that implementing all or part of the above-described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. Any reference to memory, storage, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, or the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples represent only a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (10)
1. An intelligent analysis method for power transmission equipment is characterized by comprising the following steps:
acquiring running state data of power transmission equipment and a power transmission line where the power transmission equipment is located, wherein the running state data is acquired by an online monitoring module;
determining whether a fault point and a fault type exist in the power transmission equipment and a power transmission line where the power transmission equipment is positioned according to the fault component of the positive sequence current in the running state data and the ratio correlation of the zero sequence current and the negative sequence current;
if the fault point is judged to exist, calculating the running state data of the two ends of the power transmission line based on a double-end ranging method, and determining the position information of the fault point.
2. The method according to claim 1, wherein the method further comprises:
determining depth monitoring information of the power transmission equipment according to the operation state data of the power transmission equipment;
and determining a repair management signal or a record management signal corresponding to the power transmission equipment based on the depth monitoring information.
3. The method of claim 2, wherein the depth monitoring information includes a temperature level, a power transmission variable, and a partial discharge variable, the temperature level representing a ratio between an operating temperature and an ambient temperature, the power transmission variable representing a difference between an actual output voltage and a rated output voltage, the partial discharge variable representing an actual total partial discharge amount, the method further comprising:
determining a depth safety index according to the temperature change magnitude, the power transmission variable and the partial discharge variable;
if the depth safety index of the power transmission equipment is larger than a preset value, generating a repair management signal of the power transmission equipment;
and when the depth safety index of the power transmission equipment is smaller than or equal to the preset value, generating a record management signal of the power transmission equipment.
4. The method according to claim 1, wherein after the step of determining whether the power transmission equipment and the power transmission line where the power transmission equipment is located have a fault point and a fault type according to the fault component of the positive sequence current and the correlation of the ratio of the zero sequence current and the negative sequence current in the operation state data, the method further comprises:
extracting and labeling voltage data and current data which are in a normal current range and are out of a normal voltage range in the running state data;
and processing the extracted and marked voltage data and current data based on the zonal phase selection and fuzzy rule of the sequence current, and determining whether fault points and fault types exist in the power transmission equipment and the power transmission line where the power transmission equipment is positioned.
5. The method according to claim 1, wherein the method further comprises:
acquiring a patrol image acquired by the online monitoring module, wherein the patrol image comprises at least one power transmission device and a power transmission line where the power transmission device is located;
grouping the inspection images according to the power transmission equipment to obtain a plurality of image groups of each power transmission equipment;
determining the integral characteristic corresponding to each image in each image group; the overall characteristics include voltage class, line name and line number;
screening out repeated images in each image group, and respectively determining detail characteristics of the images in the screened image groups by using a space grid method, wherein the detail characteristics comprise phase sequences corresponding to the divided space grids based on each image in each image group;
and naming each image according to the overall characteristic and the detail characteristic to obtain a named image.
6. The method according to any one of claims 1 to 5, further comprising:
and filtering the running state data.
7. The method according to any one of claims 1 to 5, further comprising:
if the fault point is judged to exist, generating and sending early warning information to the terminal.
8. An intelligent analysis device for a power transmission apparatus, the device comprising:
the data acquisition module is used for acquiring the running state data of the power transmission equipment and the power transmission line where the power transmission equipment is located, which are acquired by the online monitoring module;
the power transmission line fault type identification module is used for determining whether a fault point and a fault type exist in the power transmission equipment and the power transmission line where the power transmission equipment is positioned according to the fault component of the positive sequence current and the ratio correlation of the zero sequence current and the negative sequence current in the running state data;
and the fault position determining module is used for calculating the running state data of the two ends of the power transmission line based on the double-end ranging method and determining the position information of the fault point when the fault point is judged to exist.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the method of any one of claims 1 to 7 when executing the computer program.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the method of any of claims 1 to 7.
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