CN115509255A - Substation patrol unmanned aerial vehicle airline risk management and control method, device, equipment and storage medium - Google Patents
Substation patrol unmanned aerial vehicle airline risk management and control method, device, equipment and storage medium Download PDFInfo
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Abstract
The invention discloses a transformer substation patrol unmanned aerial vehicle airline risk management and control method, device, equipment and storage medium. A transformer substation patrol unmanned aerial vehicle airline risk management and control method comprises the following steps: acquiring equipment parameters of an unmanned aerial vehicle for performing patrol service on power equipment of a transformer substation and environment parameters of each point in the transformer substation; quantifying the equipment parameters and the environment parameters based on a preset quantification rule to obtain risk values corresponding to all points in the transformer substation; and evaluating the air route of the unmanned aerial vehicle based on the risk value to obtain the risk level corresponding to the air route. The risk evaluation method comprises the steps of quantifying the equipment parameters and the environmental parameters of each point through preset quantification rules to obtain risk values, carrying out patrol in planned navigation of the unmanned aerial vehicle and carrying out risk grade evaluation on risks in the patrol process based on the risk values, providing visual data reference for operating personnel, and obtaining the risk state of the unmanned aerial vehicle in real time in a route making stage and an execution stage.
Description
Technical Field
The invention relates to the technical field of transformer substations, in particular to a method, a device, equipment and a storage medium for managing and controlling the flight line risk of an unmanned aerial vehicle for patrol of a transformer substation.
Background
The inspection system of the transformer substation is an effective measure for ensuring the normal and safe operation of equipment. The equipment running state is known through regular inspection tour of operators on duty, the running abnormity is mastered, corresponding measures are taken in time, and the method has important significance for reducing the occurrence of accidents and the influence range of the accidents.
In the past, the patrol of power equipment is not painstaking, but the modern times is advanced, the patrol of the power equipment can be replaced by an unmanned aerial vehicle, particularly the patrol of some high-altitude power equipment or outdoor power equipment, the patrol of the unmanned aerial vehicle is achieved with half the effort, the danger of the high-altitude power equipment is avoided, and meanwhile, the efficiency can be improved. The unmanned aerial vehicle automatic inspection service adopts a strategy of executing flight routes, and controls the unmanned aerial vehicle to inspect and inspect power equipment and lines in the transformer substation according to a planned channel. In the process of the inspection of the unmanned aerial vehicle, the working personnel is required to monitor the use condition and the external environment of the unmanned aerial vehicle, and whether the inspection can be continuously executed according to a preset air route is judged by virtue of experience. But it is determined by experience that occasionally a poor consideration occurs, resulting in damage to the drone or equipment.
Disclosure of Invention
The invention provides a method, a device, equipment and a storage medium for managing and controlling the flight path risk of a transformer substation patrol unmanned aerial vehicle, so as to realize risk analysis of the flight path of the transformer substation patrol unmanned aerial vehicle and provide reliable scientific basis for the work of the transformer substation patrol unmanned aerial vehicle.
According to one aspect of the invention, a substation patrol unmanned aerial vehicle airline risk management and control method is provided, which comprises the following steps:
acquiring equipment parameters of an unmanned aerial vehicle for executing patrol service on power equipment of a transformer substation and environment parameters of each point in the transformer substation;
quantifying the equipment parameters and the environment parameters based on a preset quantification rule to obtain risk values corresponding to all points in the transformer substation;
and evaluating the air route of the unmanned aerial vehicle based on the risk value to obtain a risk level corresponding to the air route.
Optionally, after the risk level assessment is performed on the airline of the drone based on the risk value, the method further includes:
dividing the flight path of the unmanned aerial vehicle into a plurality of flight segments with different risk levels based on the risk values.
Optionally, the dividing the route of the unmanned aerial vehicle into a plurality of route segments with different risk levels based on the risk value includes:
determining the risk value corresponding to each point on the route of the unmanned aerial vehicle;
determining the risk level corresponding to each point based on the risk value;
and dividing the airline based on the risk level to obtain a plurality of segments with different risk levels.
Optionally, after the dividing the airline based on the risk level to obtain a plurality of segments with different risk levels, the method further includes:
determining a flight segment with the risk level higher than a preset level in the flight path as an initial flight segment;
acquiring a risk value of a position within a preset distance of the initial flight segment as an initial risk value;
and generating a standby route based on the initial risk value and a preset threshold value.
Optionally, the device parameters of the unmanned aerial vehicle include battery power and battery cycle number; the environmental parameters comprise wind speed, satellite signal coverage quantity, satellite signal intensity, geomagnetic index, electromagnetic interference intensity, transformer quantity and working voltage level of the power equipment.
Optionally, the quantifying the device parameter and the environment parameter based on a preset quantification rule to obtain a risk value corresponding to each point in the substation includes:
matching quantization rules corresponding to the equipment parameters and the environment parameters from a preset database;
and quantizing the equipment parameters and the environment parameters based on the quantization rules to obtain risk values corresponding to the equipment parameters and the environment parameters.
Optionally, the evaluating the airline of the unmanned aerial vehicle based on the risk value to obtain a risk level corresponding to the airline includes:
calculating a weight average value of the risk values of all points corresponding to the route based on a preset weight;
and determining the risk level corresponding to the air route based on the weight average value and a preset risk level division standard.
According to another aspect of the invention, a substation patrol unmanned aerial vehicle airline risk management and control device is provided, which comprises:
the acquisition module is used for acquiring the equipment parameters of the unmanned aerial vehicle for performing the patrol service on the power equipment of the transformer substation and the environmental parameters of each point in the transformer substation;
the quantification module is used for quantifying the equipment parameters and the environment parameters based on a preset quantification rule to obtain risk values corresponding to all points in the transformer substation;
and the evaluation module is used for evaluating the air route of the unmanned aerial vehicle based on the risk value to obtain the risk level corresponding to the air route.
According to another aspect of the invention, a substation patrol unmanned aerial vehicle route risk management and control device is provided, which comprises:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform a method for substation patrol drone airline risk management and control according to any embodiment of the present invention.
According to another aspect of the present invention, a computer-readable storage medium is provided, where computer instructions are stored, and the computer instructions are configured to cause a processor to implement the substation patrol unmanned aerial vehicle route risk management and control method according to any embodiment of the present invention when executed.
According to the technical scheme of the embodiment of the invention, the equipment parameters of the unmanned aerial vehicle executing the patrol service and the environmental parameters of all points in the transformer substation are obtained, then the equipment parameters and the environmental parameters of all points are quantized through the preset quantization rule to obtain the risk value, and the risk level of the unmanned aerial vehicle in the patrol and patrol processes during planned navigation is evaluated based on the risk value, so that visual data reference can be provided for operating personnel, and the risk state of the unmanned aerial vehicle can be obtained in real time in both the route making stage and the route executing stage.
It should be understood that the statements in this section are not intended to identify key or critical features of the embodiments of the present invention, nor are they intended to limit the scope of the invention. Other features of the present invention will become apparent from the following description.
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In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings required to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the description below are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of a substation patrol unmanned aerial vehicle route risk management and control method according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a substation patrol unmanned aerial vehicle airline risk management and control device according to a second embodiment of the present invention;
fig. 3 is a schematic structural diagram of a substation patrol unmanned aerial vehicle airline risk management and control device according to a third embodiment of the present invention.
Detailed Description
In order to make the technical solutions of the present invention better understood, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and claims of the present invention and in the drawings described above are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in other sequences than those illustrated or described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
Example one
Fig. 1 is a flowchart of a method for managing and controlling a route risk of a substation patrol unmanned aerial vehicle according to an embodiment of the present invention, where the embodiment is applicable to risk analysis of a patrol route of a substation patrol unmanned aerial vehicle, and provides a theoretical basis for navigation of the substation patrol unmanned aerial vehicle, the method may be executed by a substation patrol unmanned aerial vehicle device, the substation patrol unmanned aerial vehicle device may be implemented in hardware and/or software, and the substation patrol unmanned aerial vehicle device may be configured in a computer device, such as a server, a workstation, a personal computer, and the like. As shown in fig. 1, the method includes:
s110, acquiring equipment parameters of an unmanned aerial vehicle for performing patrol service on power equipment of the transformer substation and environment parameters of each point in the transformer substation.
In the process of inspecting the transformer substation, whether the appearance of the equipment is different or not needs to be observed, if the color is changed or not, whether impurities exist or not, whether the indication of a pointer is normal or not, whether the sound of the equipment is normal or not, whether abnormal odor exists or not, whether the temperature of the equipment which is touched and allowed to be contacted is normal or not is judged, and the change of the running parameters of the electrical equipment in the running process is measured to judge whether the running condition of the equipment is normal or not. Need the transformer substation to patrol various collection system that unmanned aerial vehicle carried on and gather power equipment one by one, and electric power facility is numerous in the transformer substation for unmanned aerial vehicle's flight environment is complicated, and also influences unmanned aerial vehicle's steady operation when meteorological condition, signal factor, organism battery situation etc. change.
In the embodiment of the invention, before the air route of the unmanned aerial vehicle is evaluated, the equipment parameters of the unmanned aerial vehicle and the environmental parameters of all places in the transformer substation need to be acquired. The equipment parameters at least comprise the battery power and the battery cycle number of the unmanned aerial vehicle; the environmental parameters at least comprise information such as wind speed, satellite signal coverage quantity, satellite signal strength, geomagnetic indexes, electromagnetic interference strength, transformer quantity, working voltage grade of power equipment and the like of each point in the transformer substation.
And S120, quantifying the equipment parameters and the environment parameters based on a preset quantification rule to obtain risk values corresponding to all points in the transformer substation.
In the embodiment of the invention, the acquired unit of the equipment parameters of the unmanned aerial vehicle is different from that of the environmental parameters at all places in the transformer substation, and the measurement standards are also different, so that the equipment parameters and the environmental parameters need to be quantized to a uniform dimension in the step. In the embodiment of the invention, the risk value is selected, and the equipment parameter and the environment parameter are quantized into the corresponding risk value according to the preset quantization rule.
For example, the electric quantity in the equipment parameter of unmanned aerial vehicle can divide the electric quantity size of unmanned aerial vehicle into a plurality of intervals according to the scope, and every interval corresponds different risk value respectively. For example, the wind speed of the environmental parameter is divided into a plurality of sections for different wind speed ranges, and each section corresponds to a different risk value.
In specific implementation, a quantization rule needs to be established first, the quantization rule can be stored in a form of a database and the like, and corresponding quantization rule definitions are made for all equipment parameters and environment parameters.
S130, evaluating the air route of the unmanned aerial vehicle based on the risk value, and obtaining the risk level corresponding to the air route.
The method comprises the steps of obtaining equipment parameters of the unmanned aerial vehicle and environmental parameters of all places in a transformer substation in the previous step, quantizing the equipment parameters into corresponding risk values based on preset quantization rules, confirming the risk values corresponding to air routes and the risk values corresponding to the equipment parameters of the unmanned aerial vehicle based on all points of air route passing planned by the unmanned aerial vehicle in the step, then comprehensively evaluating the risk level of the unmanned aerial vehicle executing patrol business on the air routes, providing data basis for the air route planning and the risks in the process of executing patrol tasks by the unmanned aerial vehicle, and visually judging the risks in the process of patrolling and patrolling the unmanned aerial vehicle in the planned navigation.
In the embodiment of the invention, the equipment parameters of the unmanned aerial vehicle executing the patrol service and the environmental parameters of each point in the transformer substation are obtained, then the equipment parameters and the environmental parameters of each point are quantized through the preset quantization rule to obtain the risk value, and the risk level of the unmanned aerial vehicle in the patrol process and the risk in the patrol process is evaluated based on the risk value, so that visual data reference can be provided for operating personnel, and the risk state of the unmanned aerial vehicle can be obtained in real time in the route making stage and the execution stage.
In the embodiment of the present invention, after S130, the method may further include:
and S140, dividing the air route of the unmanned aerial vehicle into a plurality of sections with different risk levels based on the risk values.
In specific implementation, each route passes through different positions of a transformer substation, wherein the risk values of each position are not the same, the risk values of partial positions are relatively high, the risk of the unmanned aerial vehicle in the region for executing tasks is relatively high, and the region with the relatively high risk of the partial position needs to be considered in a key mode when the route planning of the unmanned aerial vehicle is carried out.
In the step, the planned route is divided into a plurality of route segments with different risk levels according to the size of the risk value. Wherein the risk level of two adjacent legs should be different, and the risk level of two legs separated by one or more legs may be the same or different. That is to say, in the embodiment of the present invention, the purpose of performing the route segment division on the route is to divide the positions with the same risk level into one route segment, and then perform the targeted modification on the route segment with the relatively higher risk level, so as to modify the route in a targeted manner, and reduce the workload brought by the modification.
Illustratively, a flight path is divided into 5 flight segments of low-medium-low-high-low, wherein the high risk level channel unmanned aerial vehicle has a high risk of navigating and needs to be modified in a targeted manner, and at this time, since the flight path unmanned aerial vehicle is divided into a single flight segment, only the flight segment is modified, and no modification is needed for other flight segments.
Further, S140 may include:
and S141, determining risk values corresponding to all points on the air route of the unmanned aerial vehicle.
In the previous step, the risk value of each point in the substation is calculated, and in the step, the corresponding risk value can be correspondingly found out by determining the position of the point on the air route in the substation.
And S142, determining the risk level corresponding to each point based on the risk value.
The risk grade division of each point can be consistent with the risk grade division standard of the air route, the distribution range of the risk value is divided into a plurality of intervals, and each interval corresponds to different risk grades.
Illustratively, the defined risk level is: acceptable, low risk, medium risk, high risk.
And S143, dividing the air route based on the risk levels to obtain a plurality of air route sections with different risk levels.
In S142, the risk level is determined for each point on the route, and in this step, the consecutive points with the same risk level may be used as points in the same route segment, so that the route is divided into several route segments with different risk levels.
After the step S143 of dividing the route based on the risk levels to obtain a plurality of route segments with different risk levels, the method may further include:
and determining a flight segment with the risk level higher than a preset level in the flight path as an initial flight segment. The purpose of this step is to determine segments of the airline with a risk level higher than a preset risk level.
And acquiring a risk value of a position within a preset distance of the initial flight segment as an initial risk value.
And generating a standby route based on the initial risk value and a preset threshold value.
The purpose of this is to determine the risk level of the space around the initial flight segment, and then to determine the position of the executable patrol service where the risk level is applicable, and then to obtain the available standby route.
S120, quantifying the equipment parameters and the environmental parameters based on preset quantification rules to obtain risk values corresponding to each point in the transformer substation, wherein the risk values can include:
matching quantization rules corresponding to the equipment parameters and the environment parameters from a preset database;
and quantizing the equipment parameters and the environment parameters based on the quantization rule to obtain risk values corresponding to the equipment parameters and the environment parameters.
Illustratively, the definitions quantitatively specified may be made as set forth in Table 1.1 below.
TABLE 1.1
S130, evaluating the air route of the unmanned aerial vehicle based on the risk value, and obtaining the risk level corresponding to the air route, wherein the risk level comprises the following steps:
s131, calculating a weight average value of the risk values of all points corresponding to the flight path based on the preset weight.
In the specific implementation, the evaluation of the overall risk level of the whole airline can be calculated in a mode of a weight average value of the risk values of all points on the airline, and for points with larger risk values, larger weights are set, so that the points with high risk values are more prominent in the final calculation result, and the evaluation of the risk level of the airline is closer to the actual working scene.
S132, determining the risk level corresponding to the air route based on the weight average value and the preset risk level dividing standard.
For the risk level determination of the airline, the risk value can be divided into a plurality of intervals by adopting a risk value range division mode. For example, the division is made in the following manner of table 1.2:
TABLE 1.2
Example two
Fig. 2 is a schematic structural diagram of a substation patrol unmanned aerial vehicle route risk management and control device provided in the third embodiment of the present invention. As shown in fig. 2, the apparatus comprises an obtaining module 21, a quantifying module 22 and an evaluating module 23, wherein:
the acquisition module 21 is configured to perform acquisition of device parameters of an unmanned aerial vehicle performing inspection service on power devices of a substation and environmental parameters of various points in the substation;
the quantification module 22 is used for quantifying the equipment parameters and the environment parameters based on a preset quantification rule to obtain risk values corresponding to all points in the transformer substation;
and the evaluation module 23 is configured to perform evaluation on the air route of the unmanned aerial vehicle based on the risk value, and obtain a risk level corresponding to the air route.
Optionally, the method further includes:
and the flight segment dividing module is used for executing the division of the air route of the unmanned aerial vehicle into a plurality of flight segments with different risk levels based on the risk values.
The leg division module may include:
the route risk value determining unit is used for determining risk values corresponding to all points on a route of the unmanned aerial vehicle;
the risk grade unit is used for determining the risk grade corresponding to each point based on the risk value;
and the dividing unit is used for dividing the air route based on the risk level to obtain a plurality of air route sections with different risk levels.
Optionally, the segment dividing module may further include:
the flight segment judging unit is used for determining a flight segment with the risk level higher than a preset level in the flight path as an initial flight segment;
the initial risk value unit is used for acquiring a risk value of a position within a preset distance of an initial flight segment as an initial risk value;
and the generation standby unit is used for generating a standby route based on the initial risk value and a preset threshold value.
Optionally, the device parameters of the unmanned aerial vehicle include battery power and battery cycle number; the environmental parameters include wind speed, satellite signal coverage number, satellite signal strength, geomagnetic index, electromagnetic interference strength, number of transformers, and operating voltage level of the power equipment.
Optionally, the quantization module 22 may include:
a rule obtaining unit for performing matching of quantization rules corresponding to the device parameters and the environment parameters from a preset database;
and the quantization unit is used for quantizing the equipment parameters and the environment parameters based on the quantization rules to obtain risk values corresponding to the equipment parameters and the environment parameters.
Optionally, the evaluation module 23 may include:
the mean value calculating unit is used for calculating the weight mean value of the risk values of all points corresponding to the flight path based on the preset weight;
and the determining unit is used for determining the risk level corresponding to the air route based on the weight average value and the preset risk level dividing standard.
The substation patrol unmanned aerial vehicle route risk management and control device provided by the embodiment of the invention can execute the substation patrol unmanned aerial vehicle route risk management and control method provided by any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the execution method.
EXAMPLE III
Fig. 3 shows a schematic structural diagram of a substation patrol drone airline risk management device 10 that may be used to implement an embodiment of the present invention. The substation patrol drone airline risk management and control device is intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other suitable computers. The substation patrol drone airline risk management device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the inventions described and/or claimed herein.
As shown in fig. 3, the substation patrol unmanned aerial vehicle airline risk management and control device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a Read Only Memory (ROM) 12, a Random Access Memory (RAM) 13, and the like, wherein the memory stores a computer program executable by the at least one processor, and the processor 11 can perform various appropriate actions and processes according to the computer program stored in the Read Only Memory (ROM) 12 or the computer program loaded from the storage unit 18 into the Random Access Memory (RAM) 13. In the RAM 13, various programs and data required for the substation to patrol the unmanned aerial vehicle airline risk management and control device 10 for operation may also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other via a bus 14. An input/output (I/O) interface 15 is also connected to bus 14.
A plurality of components in substation patrol unmanned aerial vehicle airline risk management and control device 10 are connected to I/O interface 15, including: an input unit 16 such as a keyboard, a mouse, or the like; an output unit 17 such as various types of displays, speakers, and the like; a storage unit 18 such as a magnetic disk, optical disk, or the like; and a communication unit 19 such as a network card, modem, wireless communication transceiver, etc. The communication unit 19 allows the substation patrol drone airline risk management device 10 to exchange information/data with other devices over a computer network such as the internet and/or various telecommunication networks.
The processor 11 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various processors running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, or the like. The processor 11 performs the various methods and processes described above, such as the substation patrol drone airline risk management and control method.
In some embodiments, the substation patrol drone airline risk management method may be implemented as a computer program tangibly embodied in a computer readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and/or installed onto the substation patrol drone airline risk management device 10 via the ROM 12 and/or the communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the substation patrol drone airline risk management method described above may be performed. Alternatively, in other embodiments, the processor 11 may be configured to perform the substation patrol drone airline risk management method in any other suitable manner (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuitry, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), system on a chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs that are executable and/or interpretable on a programmable system including at least one programmable processor, which may be special or general purpose, receiving data and instructions from, and transmitting data and instructions to, a storage system, at least one input device, and at least one output device.
A computer program for implementing the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general purpose computer, special purpose computer, or other programmable data processing apparatus, such that the computer programs, when executed by the processor, cause the functions/acts specified in the flowchart and/or block diagram block or blocks to be performed. A computer program can execute entirely on a machine, partly on a machine, as a stand-alone software package partly on a machine and partly on a remote machine or entirely on a remote machine or server.
In the context of the present invention, a computer-readable storage medium may be a tangible medium that can contain, or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. A computer readable storage medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. Alternatively, the computer readable storage medium may be a machine readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described herein may be implemented on a substation patrol drone airline risk management device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or a trackball) by which a user may provide input to the substation patrol drone airline risk management device. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), blockchain networks, and the internet.
The computing system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server can be a cloud server, also called a cloud computing server or a cloud host, and is a host product in a cloud computing service system, so that the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service are overcome.
It should be understood that various forms of the flows shown above, reordering, adding or deleting steps, may be used. For example, the steps described in the present invention may be executed in parallel, sequentially, or in different orders, and are not limited herein as long as the desired result of the technical solution of the present invention can be achieved.
The above-described embodiments should not be construed as limiting the scope of the invention. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made, depending on design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
Claims (10)
1. The utility model provides a transformer substation patrols unmanned aerial vehicle airline risk management and control method which is characterized in that includes:
acquiring equipment parameters of an unmanned aerial vehicle for executing patrol service on power equipment of a transformer substation and environment parameters of each point in the transformer substation;
quantifying the equipment parameters and the environment parameters based on a preset quantification rule to obtain risk values corresponding to all points in the transformer substation;
and evaluating the air route of the unmanned aerial vehicle based on the risk value to obtain a risk grade corresponding to the air route.
2. The substation patrol unmanned aerial vehicle airline risk management and control method according to claim 1, wherein after the risk level assessment of the airline of the unmanned aerial vehicle based on the risk value, further comprising:
dividing the route of the unmanned aerial vehicle into a plurality of route segments with different risk levels based on the risk values.
3. The substation patrol unmanned aerial vehicle airline risk management and control method according to claim 2, wherein the dividing of the airline of the unmanned aerial vehicle into a plurality of segments of different risk levels based on the risk value comprises:
determining the risk value corresponding to each point on the route of the unmanned aerial vehicle;
determining the risk level corresponding to each point based on the risk value;
and dividing the airline based on the risk level to obtain a plurality of segments with different risk levels.
4. The substation patrol unmanned aerial vehicle airline risk management and control method according to claim 3, wherein after the dividing the airline based on the risk level to obtain a plurality of segments of different risk levels, the method further comprises:
determining a flight segment with the risk level higher than a preset level in the flight line as an initial flight segment;
acquiring a risk value of a position within a preset distance of the initial flight segment as an initial risk value;
and generating a standby route based on the initial risk value and a preset threshold value.
5. The substation patrol unmanned aerial vehicle airline risk management and control method according to claim 1, wherein the equipment parameters of the unmanned aerial vehicle include battery power and battery cycle number; the environmental parameters comprise wind speed, satellite signal coverage quantity, satellite signal intensity, geomagnetic index, electromagnetic interference intensity, transformer quantity and working voltage level of the power equipment.
6. The substation patrol unmanned aerial vehicle airline risk management and control method according to claim 1, wherein the quantifying the device parameters and the environmental parameters based on preset quantification rules to obtain risk values corresponding to each point in the substation comprises:
matching quantization rules corresponding to the equipment parameters and the environment parameters from a preset database;
and quantizing the equipment parameters and the environment parameters based on the quantization rules to obtain risk values corresponding to the equipment parameters and the environment parameters.
7. The method for managing and controlling the risk of the airline of the substation patrol unmanned aerial vehicle according to claim 1, wherein the step of evaluating the airline of the unmanned aerial vehicle based on the risk value to obtain a risk level corresponding to the airline comprises the steps of:
calculating a weight average value of the risk values of all points corresponding to the route based on a preset weight;
and determining the risk level corresponding to the airline based on the weight average value and a preset risk level division standard.
8. The utility model provides a transformer substation tours unmanned aerial vehicle airline risk management and control device which characterized in that includes:
the acquisition module is used for acquiring the equipment parameters of the unmanned aerial vehicle for performing the patrol service on the power equipment of the transformer substation and the environmental parameters of each point in the transformer substation;
the quantification module is used for quantifying the equipment parameters and the environment parameters based on a preset quantification rule to obtain risk values corresponding to all points in the transformer substation;
and the evaluation module is used for evaluating the air route of the unmanned aerial vehicle based on the risk value to obtain the risk level corresponding to the air route.
9. The utility model provides a transformer substation tours unmanned aerial vehicle airline risk management and control equipment which characterized in that, equipment includes:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores a computer program executable by the at least one processor, the computer program being executable by the at least one processor to enable the at least one processor to perform the substation patrol drone airline risk management method of any one of claims 1-7.
10. A computer-readable storage medium storing computer instructions for causing a processor to implement the substation patrol drone airline risk management and control method of any one of claims 1-7 when executed.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202211185225.XA CN115509255A (en) | 2022-09-27 | 2022-09-27 | Substation patrol unmanned aerial vehicle airline risk management and control method, device, equipment and storage medium |
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| CN202211185225.XA CN115509255A (en) | 2022-09-27 | 2022-09-27 | Substation patrol unmanned aerial vehicle airline risk management and control method, device, equipment and storage medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117239938A (en) * | 2023-11-13 | 2023-12-15 | 国网浙江省电力有限公司杭州供电公司 | Inspection control method, inspection control device, inspection control system, inspection control equipment and inspection control medium for power distribution station |
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2022
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117239938A (en) * | 2023-11-13 | 2023-12-15 | 国网浙江省电力有限公司杭州供电公司 | Inspection control method, inspection control device, inspection control system, inspection control equipment and inspection control medium for power distribution station |
| CN117239938B (en) * | 2023-11-13 | 2024-02-23 | 国网浙江省电力有限公司杭州供电公司 | Inspection control method, inspection control device, inspection control system, inspection control equipment and inspection control medium for power distribution station |
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