CN116246422A - Voltage-class self-adaptive near-electricity early warning method, device, equipment and storage medium - Google Patents
Voltage-class self-adaptive near-electricity early warning method, device, equipment and storage medium Download PDFInfo
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- G01R19/16533—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application
- G01R19/16538—Indicating that current or voltage is either above or below a predetermined value or within or outside a predetermined range of values characterised by the application in AC or DC supplies
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Abstract
The embodiment of the disclosure relates to a voltage class self-adaptive near-electricity early warning method, a device, equipment and a storage medium. The method comprises the following steps: presetting a voltage grade and a safety distance corresponding to the voltage grade; collecting images of a high-voltage circuit and extracting features to obtain the number of target features; judging the voltage value of the high-voltage line according to the number of the target features, and determining the voltage class and the safety distance; collecting the current distance between a worker and a high-voltage line; the current distance is compared to the safe distance to determine whether to alarm. According to the invention, the image of the high-voltage line is acquired, the characteristics in the image are extracted, the voltage level corresponding to the high-voltage line can be obtained, and then, whether to alarm is determined according to the current distance and the safety distance of the staff. The determination of the voltage class does not need complex operation and multiple operations; the voltage level is determined through image recognition, signal interference can be prevented, and the obtained data is high in accuracy.
Description
Technical Field
The embodiment of the disclosure relates to the technical field of near-electricity early warning, in particular to a voltage class self-adaptive near-electricity early warning method, device, equipment and storage medium.
Background
With the continuous development of the power grid, the power transmission line is more complex, and when an operator enters an electric field to work, the operator easily spans a safe distance to suffer electric shock, so that personal safety is seriously endangered. Therefore, the early warning equipment is required to be worn when the electric vehicle enters the electrified place, and the electric vehicle is far away from a dangerous area under the early warning indication of the early warning equipment, so that the personal safety is ensured. In use, the staff first knows the voltage level of the area, then adjusts the mode on the early warning device to the voltage level, and then can alarm according to the safety distance of the level.
In the related art, the early warning method for carrying out self-adaption on different voltage levels needs to measure and calculate the electric field intensity for a plurality of times, is complex in calculation, is easy to interfere, and has low early warning result accuracy.
Accordingly, there is a need to improve one or more problems in the related art as described above.
It should be noted that the information disclosed in the above background section is only for enhancing understanding of the background of the present disclosure and thus may include information that does not constitute prior art known to those of ordinary skill in the art.
Disclosure of Invention
Embodiments of the present disclosure are directed to a voltage level adaptive near-electricity early warning method, apparatus, device, and storage medium, which, at least in part, overcome one or more of the problems due to the limitations and disadvantages of the related art.
According to a first aspect of embodiments of the present disclosure, there is provided a voltage class adaptive near-electricity early warning method, the method including the steps of:
presetting a voltage level and a safety distance corresponding to the voltage level;
collecting images of a high-voltage circuit, and extracting features of the images to obtain the number of target features;
judging the voltage value of the high-voltage circuit according to the number of the target features, and determining the corresponding voltage class and the safety distance according to the voltage value;
collecting the current distance between a worker and the high-voltage line;
comparing the current distance with the safety distance to determine whether to alarm.
In an exemplary embodiment of the present disclosure, the capturing an image of a high voltage line and extracting features from the image to obtain a number of target features includes:
and acquiring an image of a high-voltage line, and extracting insulator characteristics in the image to obtain the number of insulators.
In an exemplary embodiment of the present disclosure, the capturing an image of a high voltage line and extracting features from the image to obtain a number of target features includes:
and acquiring an image of a high-voltage circuit, and extracting the splitting number characteristics of the split wires in the image to obtain the number of the splitting numbers.
In an exemplary embodiment of the disclosure, the comparing the current distance with the safe distance, determining whether to alarm includes:
if the current distance is smaller than the safety distance, alarming is carried out;
and if the current distance is greater than or equal to the safety distance, not giving an alarm.
In an exemplary embodiment of the present disclosure, the method further comprises:
acquiring azimuth data between the staff and the high-voltage line to obtain an early warning vector;
acquiring the moving speed and the moving direction of the staff to obtain a moving vector;
comparing the movement vector of the staff with the early warning vector to obtain the deviation of the movement vector and the early warning vector;
and judging the travelling safety of the staff according to the deviation.
According to a second aspect of embodiments of the present disclosure, there is provided a voltage class adaptive near-electricity early warning device, the device comprising:
the safety distance presetting module is used for presetting a voltage grade and a safety distance corresponding to the voltage grade;
the feature extraction module is used for collecting images of the high-voltage circuit, and extracting features of the images to obtain the number of target features;
the voltage grade determining module is used for judging the voltage value of the high-voltage circuit according to the number of the target features and determining the corresponding voltage grade and the safety distance according to the voltage value;
the current distance acquisition module is used for acquiring the current distance between the staff and the high-voltage line;
and the alarm module is used for comparing the current distance with the safety distance and determining whether to alarm or not.
In an exemplary embodiment of the present disclosure, the feature extraction module includes:
the insulator characteristic extraction unit is used for collecting images of the high-voltage circuit and extracting insulator characteristics in the images to obtain the number of insulators; and/or
The split number extraction unit is used for acquiring an image of the high-voltage circuit and extracting split number characteristics of split wires in the image to obtain the number of split numbers.
In an exemplary embodiment of the disclosure, the alarm module alarms when the current distance is less than the safe distance; and when the current distance is greater than or equal to the safety distance, not giving an alarm.
According to a third aspect of embodiments of the present disclosure, there is provided an electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the steps of the voltage class adaptive near-electrical warning method of any of the above embodiments via execution of the executable instructions.
According to a fourth aspect of the embodiments of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the voltage class adaptive near-electric warning method described in any one of the embodiments above.
The technical scheme provided by the embodiment of the disclosure can comprise the following beneficial effects:
in the embodiment of the disclosure, by collecting the image of the high-voltage line and extracting the characteristics in the image, the voltage level corresponding to the high-voltage line can be obtained, and then the voltage level is compared with the safety distance according to the current distance of the staff to determine whether to alarm or not. The determination of the voltage class does not need complex operation and multiple operations; the voltage level is determined through image recognition, signal interference can be prevented, and the obtained data is high in accuracy.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the disclosure and together with the description, serve to explain the principles of the disclosure. It will be apparent to those of ordinary skill in the art that the drawings in the following description are merely examples of the disclosure and that other drawings may be derived from them without undue effort.
FIG. 1 illustrates a flow chart of a voltage class adaptive near-electricity early warning method in an exemplary embodiment of the present disclosure;
FIG. 2 illustrates a flow chart of a near-electricity early warning method of voltage class adaptation in yet another exemplary embodiment of the present disclosure;
FIG. 3 illustrates a schematic diagram of a voltage class adaptive near-electric warning device in an exemplary embodiment of the present disclosure;
FIG. 4 illustrates a schematic structure of a feature extraction module in an exemplary embodiment of the present disclosure;
fig. 5 illustrates a schematic structural diagram of an electronic device in an exemplary embodiment of the present disclosure;
fig. 6 shows a schematic structural diagram of a program product for implementing a voltage class adaptive near-electric warning method in an exemplary embodiment of the present disclosure.
Detailed Description
Example embodiments will now be described more fully with reference to the accompanying drawings. However, the exemplary embodiments may be embodied in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of the example embodiments to those skilled in the art. The described features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
Furthermore, the drawings are merely schematic illustrations of the present disclosure and are not necessarily drawn to scale. The same reference numerals in the drawings denote the same or similar parts, and thus a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures are functional entities and do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in software or in one or more hardware modules or integrated circuits or in different networks and/or processor devices and/or microcontroller devices.
In this exemplary embodiment, a voltage level adaptive approach to electricity early warning method is provided first, and referring to fig. 1, the method may include the following steps:
in step S101, a voltage level and a safety distance corresponding to the voltage level are preset, please refer to table 1.
TABLE 1 safety distance between staff and live equipment
Step S102, collecting images of the high-voltage circuit, and extracting features of the images to obtain the number of target features. For example, the characteristic may be the number of insulators and/or the split wire split number. For example, for voltage levels of 220kV, 330kV, etc., the number of split conductors is different. For power transmission lines of different voltage classes, there are differences in the number of insulators.
Step S103, judging the voltage value of the high-voltage line according to the number of the target features, and determining the corresponding voltage class and the safety distance according to the voltage value. The voltage class can be judged according to the number of split conductors and/or the number of insulators, and the safety distance under the voltage class can be obtained according to the safety distance corresponding to the preset voltage class.
And step S104, collecting the current distance between the staff and the high-voltage line.
Step S105, comparing the current distance with the safe distance, and determining whether to alarm. Specifically, for example, if the current distance is smaller than the safety distance, an alarm is given; and if the current distance is greater than or equal to the safety distance, not giving an alarm.
Through the method, the characteristics in the image can be extracted by collecting the image of the high-voltage line, so that the voltage level corresponding to the high-voltage line can be obtained, and then the voltage level is compared with the safety distance according to the current distance of the staff to determine whether to alarm or not. The determination of the voltage class does not need complex operation and multiple operations; the voltage level is determined through image recognition, signal interference can be prevented, and the obtained data is high in accuracy.
In addition, referring to fig. 2, the voltage level adaptive near-electricity early warning method may further include the following steps:
step S201, collecting azimuth data between the staff and the high-voltage line to obtain an early warning vector, and determining a position vector between the staff and the high-voltage line.
Step S202, acquiring the moving speed and the moving direction of the staff to obtain a moving vector.
And step 203, comparing the movement vector of the staff with the early warning vector to obtain the deviation of the movement vector and the early warning vector.
And step S204, judging the travelling safety of the staff according to the deviation. For example, the deviation angle between the movement vector and the warning vector is 10 °.
In one embodiment, the early warning area of the high voltage line may be set according to an electric field radiation model, and when the worker travels toward the early warning area at a certain speed and direction, if the distance is too close, for example, a distance of 0.5m reaches the early warning area, the early warning may be performed in advance by using the early warning device, where the early warning display mode may be different from the early warning display mode of the safety distance, for example, one is a yellow light and one is a red light, but is not limited thereto. By the method, the workers can work in a completely safe area, and personal safety is guaranteed.
In this exemplary embodiment, next, a voltage-class adaptive near-electricity early warning device is provided, please refer to fig. 3, which includes: the device comprises a safety distance presetting module 101, a characteristic extraction module 102, a voltage level determining module 103, a current distance acquisition module 104 and an alarm module 105.
Specifically, the safety distance preset module 101 is configured to preset a voltage level and a safety distance corresponding to the voltage level; the feature extraction module 102 is used for collecting images of the high-voltage circuit, and extracting features of the images to obtain the number of target features; the voltage level determining module 103 is configured to determine a voltage value of the high-voltage line according to the number of the target features, and determine a corresponding voltage level and a safety distance according to the voltage value; the current distance acquisition module 104 is used for acquiring the current distance between the staff and the high-voltage line; the alarm module 105 is configured to compare the current distance with the safe distance to determine whether to alarm.
In this embodiment, the image of the high-voltage line may be collected, and the features in the image may be extracted, so as to obtain the voltage level corresponding to the high-voltage line, and then, according to the current distance and the safety distance of the staff, the voltage level is compared to determine whether to alarm. The determination of the voltage class does not need complex operation and multiple operations; the voltage level is determined through image recognition, signal interference can be prevented, and the obtained data is high in accuracy.
In one embodiment, referring to fig. 4, the feature extraction module 102 may include: an insulator characteristic extraction unit 1021 and a division number extraction unit 1022. The insulator feature extraction unit 1021 is configured to collect an image of a high-voltage line, and extract insulator features in the image to obtain the number of insulators; and/or the split number extracting unit 1022 is configured to collect an image of the high-voltage circuit, and extract the split number feature of the split conductor in the image to obtain the number of split numbers.
In a specific embodiment, the alarm module alarms when the current distance is smaller than the safety distance; and when the current distance is greater than or equal to the safety distance, not giving an alarm.
In the above embodiment, when the current distance between the worker and the high-voltage line is measured, the safe distance may be measured by the electric field sensor and then calculated. The calculation can be performed by the following method:
(1) Calculating the electric field sensor voltage U c
Wherein R is b For the electric field sensor to hinder the resistance value, S c The method is characterized in that the method is an effective detection area of an electric field sensor, lambda is an electric field sensor fluctuation factor, and delta is an irregular fuzzy diameter of a charged body.
(2) Calculating the fluctuation resistance value R of the influence resistance x
Wherein θ is a resistance value influence factor.
(3) Calculating predicted voltage U of charged body (high-voltage circuit, etc.) based on electric field sensor voltage and fluctuation resistance value f
Wherein, psi is α Is the value of the mutual capacitance of the electric field sensor and the charged body, eta β The method is characterized in that the electric field sensor is disturbed in capacitance value, sigma is a capacitance value influence factor, and gamma is a capacitance value protection parameter.
(4) Calculating the near electric distance L according to the predicted voltage of the charged body
Wherein, the liquid crystal display device comprises a liquid crystal display device,
is the electric field strength of the charged body.
The specific manner in which the various modules perform the operations in the apparatus of the above embodiments have been described in detail in connection with the embodiments of the method, and will not be described in detail herein.
It should be noted that although several modules of the system for action execution are mentioned in the detailed description above, this partitioning is not mandatory. Indeed, the features and functions of two or more modules described above may be embodied in one module in accordance with embodiments of the present invention. Conversely, the features and functions of one module described above may be further divided into a plurality of modules to be embodied. The components shown as modules may or may not be physical units, and may be located in one place or distributed across multiple network elements. Some or all of the modules may be selected according to actual needs to achieve the purposes of the present invention. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
Referring to fig. 5, an embodiment of the present invention also provides an electronic device 300, the electronic device 300 comprising at least one memory 310, at least one processor 320, and a bus 330 connecting the different platform systems.
The memory 310 further stores a computer program, where the computer program may be executed by the processor 320, so that the processor 320 executes the steps of the voltage level adaptive near-electricity early warning method according to any embodiment of the present invention, and a specific implementation manner of the computer program is consistent with the implementation manner and the achieved technical effect described in the embodiment of the voltage level adaptive near-electricity early warning method, and some contents are not repeated.
Accordingly, processor 320 may execute the computer programs described above, as well as may execute utility 314.
The electronic device 300 may also communicate with one or more external devices 340, such as a keyboard, pointing device, bluetooth device, etc., as well as with one or more devices capable of interacting with the electronic device 300, and/or with any device (e.g., router, modem, etc.) that enables the electronic device 300 to communicate with one or more other computing devices. Such communication may occur through input-output interface 350. Also, electronic device 300 may communicate with one or more networks such as a Local Area Network (LAN), a Wide Area Network (WAN), and/or a public network, such as the Internet, through network adapter 360. The network adapter 360 may communicate with other modules of the electronic device 300 via the bus 330. It should be appreciated that although not shown, other hardware and/or software modules may be used in connection with electronic device 300, including, but not limited to: microcode, device drivers, redundant processors, external disk drive arrays, RAID systems, tape drives, data backup storage platforms, and the like.
The embodiment of the invention also provides a computer readable storage medium, which is used for storing a computer program, the computer program is executed to realize the steps of the voltage level self-adaptive near-electricity early-warning method in the embodiment of the invention, the specific implementation mode of the computer program is consistent with the implementation mode and the achieved technical effect recorded in the embodiment of the voltage level self-adaptive near-electricity early-warning method, and part of contents are not repeated.
Fig. 6 shows a program product 400 provided in this embodiment for implementing the above-described voltage level adaptive near-electric warning method, which may employ a portable compact disc read-only memory (CD-ROM) and comprise program code, and may be run on a terminal device, such as a personal computer. However, the program product 400 of the present invention is not limited thereto, and in the present invention, the readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. Program product 400 may employ any combination of one or more readable media. The readable medium may be a readable signal medium or a readable storage medium. The readable storage medium can be, for example, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or a combination of any of the foregoing. More specific examples (a non-exhaustive list) of the readable storage medium would include the following: an electrical connection having one or more wires, a portable disk, 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 portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
The computer readable storage medium may include a data signal propagated in baseband or as part of a carrier wave, with readable program code embodied therein. Such a propagated data signal may take any of a variety of forms, including, but not limited to, electro-magnetic, optical, or any suitable combination of the foregoing. A readable storage medium may also be any readable medium that can transmit, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a readable storage medium may be transmitted using any appropriate medium, including but not limited to wireless, wireline, optical fiber cable, RF, etc., or any suitable combination of the foregoing. Program code for carrying out operations of the present invention may be written in any combination of one or more programming languages, including an object oriented programming language such as Java, C++ or the like and conventional procedural programming languages, such as the C programming language or similar programming languages. The program code may execute entirely on the user's computing device, partly on the user's device, as a stand-alone software package, partly on the user's computing device, partly on a remote computing device, or entirely on the remote computing device or server. In the case of remote computing devices, the remote computing device may be connected to the user computing device through any kind of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or may be connected to an external computing device (e.g., connected via the Internet using an Internet service provider).
The embodiments of the present invention have been described above with reference to the accompanying drawings, but the present invention is not limited to the above-described embodiments, which are merely illustrative and not restrictive, and many forms may be made by those having ordinary skill in the art without departing from the spirit of the present invention and the scope of the claims, which are to be protected by the present invention.
Claims (10)
1. The voltage class self-adaptive near-electricity early warning method is characterized by comprising the following steps of:
presetting a voltage level and a safety distance corresponding to the voltage level;
collecting images of a high-voltage circuit, and extracting features of the images to obtain the number of target features;
judging the voltage value of the high-voltage circuit according to the number of the target features, and determining the corresponding voltage class and the safety distance according to the voltage value;
collecting the current distance between a worker and the high-voltage line;
comparing the current distance with the safety distance to determine whether to alarm.
2. The voltage class adaptive near-electricity early warning method of claim 1, wherein the collecting the image of the high-voltage line and extracting the feature of the image to obtain the number of target features comprises:
and acquiring an image of a high-voltage line, and extracting insulator characteristics in the image to obtain the number of insulators.
3. The voltage class adaptive near-electricity early warning method of claim 1, wherein the collecting the image of the high-voltage line and extracting the feature of the image to obtain the number of target features comprises:
and acquiring an image of a high-voltage circuit, and extracting the splitting number characteristics of the split wires in the image to obtain the number of the splitting numbers.
4. The voltage class adaptive near-electrical warning method of claim 1, wherein said comparing the current distance to the safe distance to determine whether to alert comprises:
if the current distance is smaller than the safety distance, alarming is carried out;
and if the current distance is greater than or equal to the safety distance, not giving an alarm.
5. The voltage class adaptive near-electrical warning method of claim 1, further comprising:
acquiring azimuth data between the staff and the high-voltage line to obtain an early warning vector;
acquiring the moving speed and the moving direction of the staff to obtain a moving vector;
comparing the movement vector of the staff with the early warning vector to obtain the deviation of the movement vector and the early warning vector;
and judging the travelling safety of the staff according to the deviation.
6. A voltage class adaptive near-electric warning device, the device comprising:
the safety distance presetting module is used for presetting a voltage grade and a safety distance corresponding to the voltage grade;
the feature extraction module is used for collecting images of the high-voltage circuit, and extracting features of the images to obtain the number of target features;
the voltage grade determining module is used for judging the voltage value of the high-voltage circuit according to the number of the target features and determining the corresponding voltage grade and the safety distance according to the voltage value;
the current distance acquisition module is used for acquiring the current distance between the staff and the high-voltage line;
and the alarm module is used for comparing the current distance with the safety distance and determining whether to alarm or not.
7. The voltage class adaptive near-electric warning device of claim 6, wherein the feature extraction module comprises:
the insulator characteristic extraction unit is used for collecting images of the high-voltage circuit and extracting insulator characteristics in the images to obtain the number of insulators; and/or
The split number extraction unit is used for acquiring an image of the high-voltage circuit and extracting split number characteristics of split wires in the image to obtain the number of split numbers.
8. The voltage class adaptive near-electric warning device of claim 6, wherein the warning module warns when the current distance is less than the safe distance; and when the current distance is greater than or equal to the safety distance, not giving an alarm.
9. An electronic device, comprising:
a processor; and
a memory for storing executable instructions of the processor;
wherein the processor is configured to perform the steps of the voltage class adaptive near-electrical warning method of any one of claims 1-5 via execution of the executable instructions.
10. A computer readable storage medium having stored thereon a computer program, wherein the computer program when executed by a processor realizes the steps of the voltage class adaptive near-electrical warning method of any one of claims 1 to 5.
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