CN118130957B - Automatic inspection system for electrical equipment - Google Patents
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- CN118130957B CN118130957B CN202410558903.5A CN202410558903A CN118130957B CN 118130957 B CN118130957 B CN 118130957B CN 202410558903 A CN202410558903 A CN 202410558903A CN 118130957 B CN118130957 B CN 118130957B
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Abstract
The invention belongs to the field of inspection of electrical equipment, and discloses an automatic inspection system of electrical equipment, which comprises an inspection interval determining device, a control device and an inspection device; the inspection interval determining device is used for calculating the inspection interval of the electrical equipment based on the accumulated operation time length of the electrical equipment and the operation environment data of the electrical equipment; the control device is used for generating a control command based on the inspection interval and sending the control command to the inspection device; the inspection device is used for inspecting the electrical equipment based on the control command. According to the invention, the electrical equipment is not automatically inspected by adopting a fixed inspection interval, but the next inspection interval is comprehensively calculated by the operation environment influence coefficient obtained in the previous inspection interval and the accumulated operation time length of the equipment, and when the accumulated operation time length of the equipment is longer, the operation environment influence coefficient is larger, the inspection interval is smaller, so that the probability of timely finding the abnormal condition of the electrical equipment is effectively improved.
Description
Technical Field
The invention relates to the field of inspection of electrical equipment, in particular to an automatic inspection system of electrical equipment.
Background
In the prior art, automatic inspection of electrical equipment by using technical means such as unmanned aerial vehicles, unmanned vehicles and the like is a common technology. However, in the prior art, when the inspection is performed, only a fixed inspection interval is generally set, and the nonlinearity of the change of the aging speed of the electrical equipment is not considered, so that when the accumulated running time length of the electrical equipment is closer to the designed service time length, the fixed inspection interval can cause the longer degree of the time length between two adjacent inspection steps, thereby being more unfavorable for timely finding the abnormal condition of the electrical equipment.
Disclosure of Invention
The invention aims to disclose an automatic inspection system for electrical equipment, which solves the problem of reasonably determining the inspection interval between two inspection processes when the electrical equipment is automatically inspected, so as to improve the probability of timely finding the abnormal condition of the electrical equipment.
In order to achieve the above purpose, the present invention provides the following technical solutions:
The invention provides an automatic inspection system of electrical equipment, which comprises an inspection interval determining device, a control device and an inspection device;
the inspection interval determining device is used for calculating the inspection interval of the electrical equipment based on the accumulated operation time length of the electrical equipment and the operation environment data of the electrical equipment;
the control device is used for generating a control command based on the inspection interval and sending the control command to the inspection device;
the inspection device is used for inspecting the electrical equipment based on the control command;
The method for calculating the inspection interval of the electrical equipment based on the accumulated operation time length of the electrical equipment and the operation environment data of the electrical equipment comprises the following steps:
For the electric apparatus b, use Indicating the accumulated operation time of the electrical equipment b, and the h inspection interval corresponding to the electrical equipment bThe calculation formula of (2) is as follows:
An initial value representing the patrol interval is indicated, Indicating the designed service duration of the electrical device b,Representing the operational environment influence coefficient calculated based on the operational environment data of the electrical device b obtained in the h-1 th inspection interval,Indicating a predetermined operating environment influence coefficient,Indicating that the unit time is set in advance,Indicating a preset time weight to be applied to the vehicle,Indicating a preset environmental weight.
Preferably, the inspection interval determining device comprises an operation environment data acquisition module, an environment influence coefficient calculation module and an inspection interval calculation module;
the operation environment data acquisition module is used for acquiring operation environment data of the electrical equipment and sending the operation environment data to the environment influence coefficient calculation module;
The environment influence coefficient calculation module is used for calculating an environment influence coefficient based on the operation environment data;
The inspection interval calculation module is used for calculating the inspection interval of the electrical equipment based on the accumulated operation time length of the electrical equipment and the environmental impact coefficient.
Preferably, the operation environment data acquisition module comprises a wireless gateway and a sensor node;
The sensor node is used for acquiring the operation environment data and sending the operation environment data to the wireless gateway;
the wireless gateway is used for sending the operation environment data to the environment influence coefficient calculation module.
Preferably, the transmitting the operation environment data to the environment influence coefficient calculation module includes:
And respectively judging the accuracy of each operation environment data, and transmitting the operation environment data with the accuracy meeting the requirement to an environment influence coefficient calculation module.
Preferably, the operating environment data includes an ambient humidity, a surface temperature of the electrical device, a vibration frequency of the electrical device, and an electric field strength.
Preferably, the calculation process of the running environment influence coefficient includes:
By using A set representing all the environmental humidities of the environment in which the electrical device b is located, obtained in the h-1 th inspection interval; by usingRepresenting a set of surface temperatures of the electrical device b obtained in the h-1 th inspection interval; by usingRepresenting a set of vibration frequencies of the electrical device b obtained in the h-1 th inspection interval; by usingA set representing the electric field intensity of the environment at the electric device b obtained in the h-1 th inspection interval;
Respectively to 、、AndThe elements in the set are normalized to obtain a set、、And；
Representation ofAverage values of the elements in (a); Representation of Average values of the elements in (a); Representation of Average values of the elements in (a); Representation of Average values of the elements in (a);、、 And Respectively representing preset humidity, temperature, vibration frequency and electric field intensity;、、 And The humidity calculation coefficient, the temperature calculation coefficient, the vibration frequency calculation coefficient, and the electric field intensity calculation coefficient are respectively represented.
Preferably, the calculation process of the humidity calculation coefficient, the temperature calculation coefficient, the vibration frequency calculation coefficient, and the electric field intensity calculation coefficient includes:
Separately calculate 、、AndVariance of elements in (1)Representing a set corresponding to the largest variance;
Separately calculate 、、AndElements of (a)Correlation coefficient between them to obtain、、And；
The calculation formula of the humidity calculation coefficient is as follows:
；
The calculation formula of the temperature calculation coefficient is as follows:
；
the calculation formula of the vibration frequency calculation coefficient is:
；
the calculation formula of the electric field intensity calculation coefficient is as follows:
；
Which represents the preset control parameters of the control system, Greater than 1.
Preferably, generating the control command based on the patrol interval includes:
Judging whether the time interval between the current time and the starting time of the current inspection interval is equal to the time length of the current inspection interval, if so, generating a control command based on a preset generation strategy.
Preferably, generating the control command based on the preset generation strategy includes:
respectively calculating the distance between each inspection device and the electrical equipment;
Acquiring a patrol scheme of the electrical equipment;
a control command is generated based on the inspection plan and the device number of the inspection device having the smallest distance to the electrical device.
Preferably, sending the control command to the inspection device comprises:
And sending the control command to the inspection device with the smallest distance with the electrical equipment.
Compared with the prior art, the invention does not adopt a fixed inspection interval to automatically inspect the electrical equipment, but comprehensively calculates the next inspection interval through the operation environment influence coefficient obtained in the previous inspection interval and the accumulated operation time length of the equipment, and when the accumulated operation time length of the equipment is longer and the operation environment influence coefficient is larger, the inspection interval is smaller, thereby effectively improving the probability of timely finding the abnormal condition of the electrical equipment.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings that are needed for the description of the embodiments will be briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic diagram of an automated inspection system for electrical equipment according to the present invention.
Fig. 2 is another schematic diagram of an automated inspection system for electrical equipment according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, based on the embodiments of the invention, which a person of ordinary skill in the art would obtain without inventive faculty, are within the parameters of the scope of the invention.
The invention provides an automatic inspection system of electrical equipment, which is shown in an embodiment in fig. 1, and comprises an inspection interval determining device, a control device and an inspection device;
the inspection interval determining device is used for calculating the inspection interval of the electrical equipment based on the accumulated operation time length of the electrical equipment and the operation environment data of the electrical equipment;
the control device is used for generating a control command based on the inspection interval and sending the control command to the inspection device;
the inspection device is used for inspecting the electrical equipment based on the control command;
The method for calculating the inspection interval of the electrical equipment based on the accumulated operation time length of the electrical equipment and the operation environment data of the electrical equipment comprises the following steps:
For the electric apparatus b, use Indicating the accumulated operation time of the electrical equipment b, and the h inspection interval corresponding to the electrical equipment bThe calculation formula of (2) is as follows:
An initial value representing the patrol interval is indicated, Indicating the designed service duration of the electrical device b,Representing the operational environment influence coefficient calculated based on the operational environment data of the electrical device b obtained in the h-1 th inspection interval,Indicating a predetermined operating environment influence coefficient,Indicating that the unit time is set in advance,Indicating a preset time weight to be applied to the vehicle,Indicating a preset environmental weight.
According to the scheme, the next inspection interval is comprehensively calculated through the operation environment influence coefficient obtained in the previous inspection interval and the accumulated operation time length of the equipment, when the accumulated operation time length of the equipment is longer, the operation environment influence coefficient is larger, the inspection interval is smaller, and therefore the probability of timely finding abnormal conditions of the electrical equipment is effectively improved.
In addition, the inspection interval is not simply reduced along with the increase of the accumulated operation time length, but the environmental influence coefficient is also considered, so that a real objective variable can be introduced in the change process of the inspection interval, the calculated inspection interval can be more matched with the objective variable, and the probability of timely finding the abnormal condition of the electrical equipment is improved.
In the above scheme, h is a positive integer greater than or equal to 2, and the value of the first inspection interval is equal toThe values of (2) are the same.
Preferably, ifLess than the set minimum value of the inspection interval, taking the set minimum value of the inspection interval as the minimum value of the inspection intervalIs a value of (2).
Through the arrangement, the situation that the inspection interval is too small, so that the electrical equipment is inspected too frequently can be avoided.
Preferably, the predetermined running environment influence coefficient is 4.
Preferably, the initial value of the patrol interval is 30 days.
In practical application, the initial value of the inspection interval can be set based on the designed service duration of the electrical equipment, and the longer the designed service duration is, the larger the initial value of the inspection interval is.
Preferably, the preset unit time is 1 day.
Accordingly, when the patrol interval is larger, the unit time should be larger.
Preferably, the predetermined time weight is 0.46 and the predetermined environmental weight is 0.54.
The weight is merely a preferable value, and the adjustment may be performed according to the actual direction of the emphasis, for example, if the influence of the environment on the electric device is relatively small, the environment weight may be set to a small value.
Preferably, as shown in fig. 2, the inspection interval determining device includes an operation environment data acquisition module, an environment influence coefficient calculation module and an inspection interval calculation module;
the operation environment data acquisition module is used for acquiring operation environment data of the electrical equipment and sending the operation environment data to the environment influence coefficient calculation module;
The environment influence coefficient calculation module is used for calculating an environment influence coefficient based on the operation environment data;
The inspection interval calculation module is used for calculating the inspection interval of the electrical equipment based on the accumulated operation time length of the electrical equipment and the environmental impact coefficient.
Preferably, the operation environment data acquisition module comprises a wireless gateway and a sensor node;
The sensor node is used for acquiring the operation environment data and sending the operation environment data to the wireless gateway;
the wireless gateway is used for sending the operation environment data to the environment influence coefficient calculation module.
In the scheme, the sensor nodes are provided with a plurality of types of sensors, so that the collection of different types of operation environment data can be realized.
Preferably, the number of the sensor nodes is a plurality, and each sensor node is responsible for acquiring operation environment data of one electric device.
Preferably, the sensor node is configured to acquire the operating environment data using a preset acquisition period.
For example, setting the acquisition period to 1 minute indicates that the running environment data is acquired every one minute.
Preferably, the transmitting the operation environment data to the environment influence coefficient calculation module includes:
And respectively judging the accuracy of each operation environment data, and transmitting the operation environment data with the accuracy meeting the requirement to an environment influence coefficient calculation module.
Because the sensor may obtain erroneous data due to temporary interference in the process of obtaining the operation environment data, performing the correctness judgment can avoid transmitting the data with obvious errors, thereby reducing the calculation amount of the environment influence coefficient calculation module.
Preferably, determining the accuracy of each operation environment data separately includes:
Judging whether each piece of operation environment data exceeds a set numerical range or not respectively, if so, indicating that the operation environment data does not meet the accuracy requirement; if not, the running environment data meets the accuracy requirement.
Preferably, the operating environment data includes an ambient humidity, a surface temperature of the electrical device, a vibration frequency of the electrical device, and an electric field strength.
Each type of operating environment data has a set range of values, for example, the range of values for ambient humidity is 10%,90% ] when the ambient humidity exceeds this range of values, indicating that it does not meet accuracy requirements.
Preferably, the calculation process of the running environment influence coefficient includes:
By using A set representing all the environmental humidities of the environment in which the electrical device b is located, obtained in the h-1 th inspection interval; by usingRepresenting a set of surface temperatures of the electrical device b obtained in the h-1 th inspection interval; by usingRepresenting a set of vibration frequencies of the electrical device b obtained in the h-1 th inspection interval; by usingA set representing the electric field intensity of the environment at the electric device b obtained in the h-1 th inspection interval;
Respectively to 、、AndThe elements in the set are normalized to obtain a set、、And；
Representation ofAverage values of the elements in (a); Representation of Average values of the elements in (a); Representation of Average values of the elements in (a); Representation of Average values of the elements in (a);、、 And Respectively representing preset humidity, temperature, vibration frequency and electric field intensity;、、 And The humidity calculation coefficient, the temperature calculation coefficient, the vibration frequency calculation coefficient, and the electric field intensity calculation coefficient are respectively represented.
When the running environment influence coefficient is carried out, the factors of multiple aspects are comprehensively considered, so that the environment coefficient can comprehensively and fully comprehensively represent the running environment condition of the electrical equipment, the adaptability between the calculated inspection interval and the real running environment condition is improved, and the abnormality can be found timely when the electrical equipment is abnormal.
Preferably, the preset humidity, temperature, vibration frequency and electric field intensity are the maximum values of the numerical ranges corresponding to the ambient humidity, the surface temperature of the electric device, the vibration frequency of the electric device and the electric field intensity, respectively.
For example, if the range of the environmental humidity is [10%,90% ], the preset humidity is 90%.
Preferably, respectively to、、AndThe elements in the set are normalized to obtain a set、、AndComprising:
Respectively to 、、AndThe elements in the set are corrected and calculated to obtain a set、、And；
Respectively to the collection、、AndThe elements in the set are normalized to obtain a set、、And。
Because the sensor can acquire inaccurate operation environment data due to the system in the process of acquiring the data, the invention corrects and calculates the data, thereby improving the accuracy of the data for calculating the operation environment influence coefficient and being beneficial to obtaining more accurate operation environment data.
By carrying out normalization processing on the operation environment data, the influence of the difference of the numerical ranges of the operation environment data of different types on the obtained operation environment influence coefficient calculated by the final part can be effectively achieved, and the humidity calculation coefficient, the temperature calculation coefficient, the vibration frequency calculation coefficient and the electric field intensity calculation coefficient can be calculated to have obvious influence on the obtained operation environment influence coefficient calculated by the final part, so that the accuracy of the operation environment influence coefficient on the representation of the real operation environment is improved.
Preferably, for a collection，For a pair ofThe process of correcting and calculating the elements in the table comprises the following steps:
in order of acquisition time from early to late The elements in the set are ordered to obtain a set；
Respectively toThe following is performed for each element in the list:
For the following The kth element in (a)，
If the value of k is more than or equal to 6 and less than M-5, thenThe process of performing the correction calculation includes:
Calculation of Is a correction judgment value of (a):
Representation of H is an even number set in advance,Representation ofThe j-th element of (a);
if the correction judgment value is larger than the set correction judgment value threshold value, then The calculation formula for performing correction calculation is:
If the correction judgment value is less than or equal to the set correction judgment value threshold value, the process proceeds The calculation formula of the row correction calculation is as follows:
Representation pair A result obtained after correction calculation is carried out; Representing the correction weight; greater than 0 and less than 1; Representation of Maximum value of the element in (a);
if the value of k is 5 or less and 1 or more, the following formula is used for the pair And (3) performing correction calculation:
；
If the value of k is greater than or equal to M-5, the following formula pair is used And (3) performing correction calculation:
；
M represents The total number of elements in (a).
In the process of correction calculation, the invention respectively calculatesThe elements at different positions in the table are corrected by adopting different correction algorithms, so that the elements with too small or too large k values can be prevented from being corrected by adopting the correction algorithm which is the same as that of the elements with larger k values, and the situation that effective correction cannot be performed due to insufficient reference quantity is avoided.
In addition, the invention utilizes the following in the correction calculationNearby pairs of elementsAnd correction is carried out, so that the accuracy of the result obtained by calculation is improved. When the value of k is greater than or equal to M-5 or the value of k is less than or equal to 5 and greater than or equal to 1, the invention adopts a mode of calculating the average value of nearby elementsAnd (5) performing correction.
When the value of k is more than or equal to 6 and less than M-5, the elements in the range from k-H to k+H are used as reference data for correction calculation, then the correction judgment value is calculated, and when the correction judgment value is more than the set correction judgment value threshold value, the correction result is calculated by adopting a larger reference range, and more accurate correction results can be obtained due to more reference data; when the correction judgment value is smaller than or equal to the set correction judgment value threshold, the change of the representing element is gentle, and at the moment, the invention adopts a smaller reference range to calculate the reference result, thereby improving the calculation efficiency of the correction processing process.
Therefore, the correction processing process can adaptively select the corresponding correction mode based on the change condition of the element, balance between the accuracy of the correction result and the calculation efficiency of the correction process, and realize a better comprehensive correction effect.
When correction is performed, for most elements, if the difference between the acquisition time of the reference data and the acquisition time of the element is smaller, the smaller the numerical difference between the reference data and the element is, the greater the influence degree of the parameter data on the final calculated correction result is, so that the same influence degree of all the reference data on the final calculated correction result is avoided, the corrected result has higher sensitivity, and the running environment condition of the power equipment can be accurately and timely represented.
Preferably, the predetermined even number is 6.
Preferably, the set correction judgment value threshold value isThe square of the middle value of the range of values corresponding to the elements in (a).
For example, ifThe element in (a) is the ambient humidity, the corresponding numerical range is [10%,90% ], and the intermediate value is 50%.
Preferably, respectively to the collection、、AndThe elements in the set are normalized to obtain a set、、AndComprising:
the Min-Max Normalization algorithm is adopted to respectively collect 、、AndThe elements in the set are normalized to obtain a set、、And。
After processing by Min-Max Normalization algorithm, the value range of the elements in the collection is [0,1].
Preferably, the calculation process of the humidity calculation coefficient, the temperature calculation coefficient, the vibration frequency calculation coefficient, and the electric field intensity calculation coefficient includes:
Separately calculate 、、AndVariance of elements in (1)Representing a set corresponding to the largest variance;
Separately calculate 、、AndElements of (a)Correlation coefficient between them to obtain、、And；
The calculation formula of the humidity calculation coefficient is as follows:
；
The calculation formula of the temperature calculation coefficient is as follows:
；
the calculation formula of the vibration frequency calculation coefficient is:
；
the calculation formula of the electric field intensity calculation coefficient is as follows:
；
Which represents the preset control parameters of the control system, Greater than 1.
The calculation coefficients of the invention are not designated in advance, but can be changed along with the change of the change amplitude of different types of operation environment data, so that more real environment conditions can be introduced each time the operation environment influence coefficients are calculated, and the operation environment influence coefficients which are more closely related to the real environment are obtained.
The scheme firstly obtains the variance of 4 sets, then takes the set with the largest variance as the reference of comparison, and calculates respectively、、AndElements of (a)Correlation coefficient between such that: when the degree of correlation between one type of operation environment data and elements of the set as a reference for comparison is lower, the value of the corresponding calculation coefficient is larger, so that the influence degree of operation environment data with high degree of correlation on the operation environment influence coefficient can be avoided from being too large, the influence degree of operation environment data with low degree of correlation on the operation environment influence coefficient is caused to be too small, and the operation environment of the electric equipment cannot be accurately represented by the operation environment influence coefficient.
Preferably, the preset control parameter is 1.1.
Preferably, generating the control command based on the patrol interval includes:
Judging whether the time interval between the current time and the starting time of the current inspection interval is equal to the time length of the current inspection interval, if so, generating a control command based on a preset generation strategy.
Preferably, generating the control command based on the preset generation strategy includes:
respectively calculating the distance between each inspection device and the electrical equipment;
Acquiring a patrol scheme of the electrical equipment;
a control command is generated based on the inspection plan and the device number of the inspection device having the smallest distance to the electrical device.
Preferably, the inspection scheme includes inspection items and the operation steps of each inspection item.
For example, the inspection items include whether or not the appearance of the electrical equipment is broken, whether or not the internal wiring is loose, and the like.
Preferably, generating the control command based on the inspection scheme and the equipment number of the inspection device having the smallest distance to the electrical equipment includes:
and filling the equipment number of the inspection device with the minimum distance between the inspection scheme and the electrical equipment into a corresponding position in a preset control command template to obtain a control command.
By setting the command template in advance, the efficiency of generating the control command can be improved.
Preferably, sending the control command to the inspection device comprises:
And sending the control command to the inspection device with the smallest distance with the electrical equipment.
The inspection device is provided with a plurality of inspection devices, and the corresponding inspection devices can be selected closely when the electrical equipment at different positions is inspected, so that the moving distance of the inspection devices is reduced, and the inspection efficiency is improved.
The inspection device comprises an unmanned inspection robot.
Preferably, the inspection of the electrical device based on the control command comprises:
And carrying out inspection on the electrical equipment according to the inspection scheme in the control command.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flowchart and block of the flowchart and block diagrams, and combinations of flowcharts and block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and block diagram block or blocks.
Finally, it should be noted that: the above embodiments are only for illustrating the technical aspects of the present invention and not for limiting the same, and although the present invention has been described in detail with reference to the above embodiments, it should be understood by those of ordinary skill in the art that: modifications and equivalents may be made to the specific embodiments of the invention without departing from the spirit and scope of the invention, which is intended to be covered by the claims.
Claims (10)
1. An automatic inspection system for electrical equipment is characterized by comprising an inspection interval determining device, a control device and an inspection device;
the inspection interval determining device is used for calculating the inspection interval of the electrical equipment based on the accumulated operation time length of the electrical equipment and the operation environment data of the electrical equipment;
the control device is used for generating a control command based on the inspection interval and sending the control command to the inspection device;
the inspection device is used for inspecting the electrical equipment based on the control command;
The method for calculating the inspection interval of the electrical equipment based on the accumulated operation time length of the electrical equipment and the operation environment data of the electrical equipment comprises the following steps:
For the electric apparatus b, use Indicating the accumulated operation time of the electrical equipment b, and the h inspection interval corresponding to the electrical equipment bThe calculation formula of (2) is as follows:
； An initial value representing the patrol interval is indicated, Indicating the designed service duration of the electrical device b,Representing the operational environment influence coefficient calculated based on the operational environment data of the electrical device b obtained in the h-1 th inspection interval,Indicating a predetermined operating environment influence coefficient,Indicating that the unit time is set in advance,Indicating a preset time weight to be applied to the vehicle,Indicating a preset environmental weight.
2. The automated inspection system of claim 1, wherein the inspection interval determining device comprises an operating environment data acquisition module, an environment influence coefficient calculation module, and an inspection interval calculation module;
the operation environment data acquisition module is used for acquiring operation environment data of the electrical equipment and sending the operation environment data to the environment influence coefficient calculation module;
The environment influence coefficient calculation module is used for calculating an environment influence coefficient based on the operation environment data;
The inspection interval calculation module is used for calculating the inspection interval of the electrical equipment based on the accumulated operation time length of the electrical equipment and the environmental impact coefficient.
3. The automated inspection system of claim 2, wherein the operating environment data acquisition module comprises a wireless gateway and a sensor node;
The sensor node is used for acquiring the operation environment data and sending the operation environment data to the wireless gateway;
the wireless gateway is used for sending the operation environment data to the environment influence coefficient calculation module.
4. An automated inspection system for electrical equipment according to claim 3, wherein the transmitting of the operating environment data to the environmental impact coefficient calculation module comprises:
And respectively judging the accuracy of each operation environment data, and transmitting the operation environment data with the accuracy meeting the requirement to an environment influence coefficient calculation module.
5. The automated inspection system of claim 1, wherein the operational environmental data comprises ambient humidity, surface temperature of the electrical equipment, vibration frequency of the electrical equipment, and electric field strength.
6. An automated inspection system for electrical equipment according to claim 5, wherein the process of calculating the operating environment influence coefficients comprises:
By using A set representing all the environmental humidities of the environment in which the electrical device b is located, obtained in the h-1 th inspection interval; by usingRepresenting a set of surface temperatures of the electrical device b obtained in the h-1 th inspection interval; by usingRepresenting a set of vibration frequencies of the electrical device b obtained in the h-1 th inspection interval; by usingA set representing the electric field intensity of the environment at the electric device b obtained in the h-1 th inspection interval;
Respectively to 、、AndThe elements in the set are normalized to obtain a set、、And；
；Representation ofAverage values of the elements in (a); Representation of Average values of the elements in (a); Representation of Average values of the elements in (a); Representation of Average values of the elements in (a);、、 And Respectively representing preset humidity, temperature, vibration frequency and electric field intensity;、、 And The humidity calculation coefficient, the temperature calculation coefficient, the vibration frequency calculation coefficient, and the electric field intensity calculation coefficient are respectively represented.
7. The automated inspection system of claim 6, wherein the calculating of the humidity calculation factor, the temperature calculation factor, the vibration frequency calculation factor, and the electric field intensity calculation factor comprises:
Separately calculate 、、AndVariance of elements in (1)Representing a set corresponding to the largest variance;
Separately calculate 、、AndElements of (a)Correlation coefficient between them to obtain、、And；
The calculation formula of the humidity calculation coefficient is as follows:
；
The calculation formula of the temperature calculation coefficient is as follows:
；
the calculation formula of the vibration frequency calculation coefficient is:
；
the calculation formula of the electric field intensity calculation coefficient is as follows:
；
Which represents the preset control parameters of the control system, Greater than 1.
8. The automated inspection system of claim 1, wherein generating the control command based on the inspection interval comprises:
Judging whether the time interval between the current time and the starting time of the current inspection interval is equal to the time length of the current inspection interval, if so, generating a control command based on a preset generation strategy.
9. The automated inspection system of claim 8, wherein generating control commands based on a preset generation strategy comprises:
respectively calculating the distance between each inspection device and the electrical equipment;
Acquiring a patrol scheme of the electrical equipment;
a control command is generated based on the inspection plan and the device number of the inspection device having the smallest distance to the electrical device.
10. An automated inspection system for electrical equipment according to claim 9, wherein transmitting control commands to the inspection device comprises:
And sending the control command to the inspection device with the smallest distance with the electrical equipment.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202410558903.5A CN118130957B (en) | 2024-05-08 | 2024-05-08 | Automatic inspection system for electrical equipment |
Applications Claiming Priority (1)
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| CA2816661A1 (en) * | 2012-05-15 | 2013-11-15 | Technical Standards And Safety Authority | +system and method for inspecting and assessing risk of mechanical equipment and facilities |
| CN114781657A (en) * | 2022-03-15 | 2022-07-22 | 江苏贺鸿电子有限公司 | Power equipment maintenance system and method based on artificial intelligence |
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| CN115798160A (en) * | 2022-11-04 | 2023-03-14 | 广西邦联智能科技有限公司 | Public facility damage alarm system based on property management |
| CN115718453A (en) * | 2022-12-02 | 2023-02-28 | 合肥瑞纳智能能源管理有限公司 | Self-driven intelligent inspection device and method for heat exchange station equipment |
| CN116388691B (en) * | 2023-04-07 | 2023-10-20 | 宁夏百川电力股份有限公司 | Intelligent inspection method and system for photovoltaic power generation field |
| CN117911196B (en) * | 2024-03-19 | 2024-05-28 | 百脉英华科技有限公司 | Ring main unit full-period operation data supervision system and method based on artificial intelligence |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CA2816661A1 (en) * | 2012-05-15 | 2013-11-15 | Technical Standards And Safety Authority | +system and method for inspecting and assessing risk of mechanical equipment and facilities |
| CN114781657A (en) * | 2022-03-15 | 2022-07-22 | 江苏贺鸿电子有限公司 | Power equipment maintenance system and method based on artificial intelligence |
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