Line maintenance strategy generation method and device, computer device and storage medium

Abstract

The application relates to a line maintenance strategy generation method and device, computer equipment and a storage medium. The method comprises the following steps: obtaining and analyzing patrol image data from a patrol device to determine a fault device on a target line section to be patrolled, determining the health degree of the target line section according to the type of the fault device, and generating a new line maintenance strategy for the target line section according to the health degree of the target line section and the importance degree of the target line section. Thus, the degree of manual participation in the line maintenance strategy creation process is reduced, and the creation efficiency of the line maintenance strategy is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of power transmission lines, in particular to a line maintenance strategy generation method and device, computer equipment and a storage medium. BACKGROUND

[0002] Line inspection is the most basic work in line operation. Line inspection is to master the operation status of the line, to find fault equipment in the line in time, to provide specific content and basis for line maintenance work, so as to better maintain and maintain, and to realize the safe operation of the line.

[0003] In the traditional technology, the line can be inspected by a unmanned aerial vehicle, and the unmanned aerial vehicle is used to obtain image data of the line. Then, the image data stored on the unmanned aerial vehicle needs to be uploaded to an image recognition system by manual operation, and the image data is analyzed by the image recognition system to determine whether there is a device defect on the line section inspected. Related personnel manually create line maintenance strategies according to device defect data.

[0004] However, in the current traditional method, the creation process of the line maintenance strategy involves too much manual participation, resulting in low efficiency of creating the line maintenance strategy. SUMMARY

[0005] Therefore, it is necessary to provide a line maintenance strategy generation method, device, computer equipment and storage medium capable of reducing the manual participation degree of the creation process of the line maintenance strategy and improving the creation efficiency of the line maintenance strategy.

[0006] A line maintenance strategy generation method, the method comprising:

[0007] Obtaining and analyzing inspection image data from an inspection device to determine a fault device on a target line section inspected; wherein the inspection image data is data obtained by the inspection device according to current inspection task information of the target line section, and the current inspection task information is task information generated based on a current line maintenance strategy of the target line section;

[0008] Determining the health degree of the target line section according to the type of the fault device;

[0009] Generating a new line maintenance strategy for the target line section according to the health degree of the target line section and the importance of the target line section.

[0010] In one embodiment, determining the health degree of the target line section according to the type of the fault device comprises:

[0011] According to the type of the fault device, a quantitative value of the fault device is determined from a preset first correspondence relationship; wherein the first correspondence relationship comprises a correspondence relationship between different types of line devices and different quantitative values;

[0012] According to the ideal quantitative value of the target line section and the quantitative value of the fault device, a health degree of the target line section is determined.

[0013] In one embodiment, the determination of the health degree of the target line section according to the ideal quantitative value of the target line section and the quantitative value of the fault device comprises:

[0014] According to a difference between the ideal quantitative value of the target line section and the quantitative value of the fault device, a current quantitative value of the target line section is obtained;

[0015] According to the current quantitative value of the target line section and a preset second correspondence relationship, the health degree of the target line section is determined; wherein the second correspondence relationship comprises a correspondence relationship between different quantitative value intervals of line sections and different health degrees.

[0016] In one embodiment, the generation of the new line maintenance strategy of the target line section according to the health degree of the target line section and the importance degree of the target line section comprises:

[0017] According to the health degree of the target line section and the importance degree of the target line section, a management and control level of the target line section is determined.

[0018] According to the management and control level of the target line section, a new line maintenance strategy of the target line section is generated.

[0019] In one embodiment, the determination of the management and control level of the target line section according to the health degree and the importance degree of the target line section comprises:

[0020] According to the health degree and the importance degree of the target line section, the management and control level of the target line section is determined from a preset third correspondence relationship; wherein the third correspondence relationship comprises a correspondence relationship between different health degrees of line sections, different importance degrees of line sections and different management and control levels.

[0021] In one embodiment, the method further comprises:

[0022] According to the current line maintenance strategy of the target line section, current inspection plan information of the target line section is generated;

[0023] According to the current inspection plan information, a nest identifier corresponding to the current inspection plan information and route information corresponding to the current inspection plan information, current inspection task information is generated.

[0024] In one of the embodiments, the method further comprises:

[0025] sending the inspection request to the inspection device through the nest identifier corresponding to the nest; wherein the inspection request comprises the current inspection task information, and the inspection request is used to instruct the inspection device to inspect the target line segment according to the current inspection task information;

[0026] receiving an inspection response from the inspection device.

[0027] A line maintenance strategy generation device, comprising:

[0028] an acquisition module, configured to acquire inspection image data from an inspection device and perform analysis to determine a fault device on a target line segment that is inspected; wherein the inspection image data is data obtained by the inspection device according to current inspection task information to inspect the target line segment, and the current inspection task information is task information generated based on a current line maintenance strategy of the target line segment;

[0029] a determination module, configured to determine a health degree of the target line segment according to a type of the fault device;

[0030] a generation module, configured to generate a new line maintenance strategy of the target line segment according to the health degree of the target line segment and an importance degree of the target line segment.

[0031] In one of the embodiments, the determination module comprises:

[0032] a first determination unit, configured to determine a quantization value of the fault device from a preset first correspondence relationship according to the type of the fault device; wherein the first correspondence relationship comprises a correspondence relationship between different types of line devices and different quantization values;

[0033] a second determination unit, configured to determine the health degree of the target line segment according to an ideal quantization value of the target line segment and the quantization value of the fault device.

[0034] In one of the embodiments, the second determination unit is specifically configured to:

[0035] obtain a current quantization value of the target line segment according to a difference between the ideal quantization value of the target line segment and the quantization value of the fault device;

[0036] determine the health degree of the target line segment according to the current quantization value of the target line segment and a preset second correspondence relationship; wherein the second correspondence relationship comprises a correspondence relationship between different quantization value intervals of line segments and different health degrees.

[0037] In one of the embodiments, the generation module comprises:

[0038] a third determining unit, configured to determine a management level of the target line section according to the health degree of the target line section and the importance degree of the target line section;

[0039] a generating unit, configured to generate a new line maintenance strategy of the target line section according to the management level of the target line section.

[0040] In one of the embodiments, the third determining unit is specifically configured to determine the management level of the target line section from a preset third correspondence relationship according to the health degree and the importance degree of the target line section; and the third correspondence relationship includes a correspondence relationship between different health degrees of line sections, different importance degrees of line sections and different management levels.

[0041] In one of the embodiments, the apparatus further includes:

[0042] a plan information generating module, configured to generate current inspection plan information of the target line section according to a current line maintenance strategy of the target line section;

[0043] an inspection task information generating module, configured to generate the current inspection task information according to the current inspection plan information, a nest identifier corresponding to the current inspection plan information and flight route information corresponding to the current inspection plan information.

[0044] A computer device includes a memory and a processor, the memory stores a computer program, and the processor implements the following steps when executing the computer program:

[0045] acquiring inspection image data from an inspection device and performing analysis to determine a fault device on a target line section being inspected; wherein the inspection image data is data obtained by the inspection device performing inspection on the target line section according to current inspection task information, and the current inspection task information is task information generated based on a current line maintenance strategy of the target line section;

[0046] determining a health degree of the target line section according to a type of the fault device;

[0047] generating a new line maintenance strategy of the target line section according to the health degree of the target line section and an importance degree of the target line section.

[0048] A computer readable storage medium, which stores a computer program, and the computer program is executed by a processor to implement the following steps:

[0049] Obtain patrol image data from the patrol device and analyze the same to determine a fault device on a target line segment being patrolled, wherein the patrol image data is data obtained by the patrol device from patrolling the target line segment according to current patrol task information, and the current patrol task information is task information generated based on a current line maintenance strategy of the target line segment;

[0050] Determine a health degree of the target line segment according to the type of the fault device;

[0051] Generate a new line maintenance strategy of the target line segment according to the health degree of the target line segment and an importance degree of the target line segment.

[0052] The line maintenance strategy generation method, device, computer device and storage medium described above obtain patrol image data from the patrol device and analyze the same to determine a fault device on a target line segment being patrolled, and determine a health degree of the target line segment according to the type of the fault device, and further generate a new line maintenance strategy of the target line segment according to the health degree of the target line segment and an importance degree of the target line segment. Since the computer device does not need to manually upload image data collected by the patrol device to an image recognition system in the process of generating the maintenance strategy, but directly obtains the patrol image data from the patrol device, the degree of human participation is reduced in the process of obtaining the patrol image data. Moreover, in the embodiment, the patrol image data is analyzed after being obtained to determine the fault device, and then the health degree of the target line segment is determined according to the type of the determined fault device, and the maintenance strategy of the target line segment is automatically generated according to the health degree and the importance degree of the target line segment, thereby further reducing the degree of human participation and improving the creation efficiency of the line maintenance strategy. BRIEF DESCRIPTION OF DRAWINGS

[0053] Figure 1 is a system architecture diagram of a line maintenance strategy generation method provided by an embodiment of the present application;

[0054] Figure 2 is a flowchart of a line maintenance strategy generation method provided by an embodiment of the present application;

[0055] Figure 3 is a flowchart of a health degree determination method provided by an embodiment of the present application;

[0056] Figure 4 is a flowchart of another line maintenance strategy generation method provided by an embodiment of the present application;

[0057] Figure 5 is a schematic diagram of a third correspondence provided by an embodiment of the present application;

[0058] Figure 6 is a flowchart of another line maintenance strategy generation method provided by an embodiment of the present application;

[0059] Figure 7 is a business process cycle diagram of a line maintenance strategy generation method provided by an embodiment of the present application;

[0060] Figure 8 is a structural diagram of a line maintenance strategy generation device provided by an embodiment of the present application;

[0061] Figure 9 is an internal structure diagram of a computer device provided by an embodiment of the present application. DETAILED DESCRIPTION

[0062] In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the present application and do not limit the present application.

[0063] Referring to Figure 1 , Figure 1 is a system architecture diagram of a line maintenance strategy generation method provided by an embodiment of the present application. The system includes a computer device 101, a nest 102 and a patrol device 103, wherein the computer device 101 and the nest 102 communicate through the Internet of Things. The nest 102 is a remote precise take-off and landing platform of the patrol device 103, which realizes automatic storage of the patrol device such as a drone, and intelligent automatic charging of the patrol device. The computer device 101 is deployed with a device corresponding to the line maintenance strategy generation method provided by the present application, and the computer device 101 can control the patrol device 103 to patrol. After the patrol device 103 patrols the line section, the patrol image data of the line section is obtained. The computer device 101 obtains the patrol image data from the patrol device 103, and then determines the fault device of the line section according to the patrol image data, and generates the maintenance strategy of the line section according to the determined fault device and the importance of the line section.

[0064] Based on Figure 1 the system architecture diagram provided, the line maintenance strategy generation method provided by the present application is introduced. As shown in Figure 2 , Figure 2 is a flowchart of a line maintenance strategy generation method provided by an embodiment of the present application. The line maintenance strategy generation method provided by the present application can be applied to a computer device 101 as shown in Figure 1 , and the method includes the following steps:

[0065] S201, obtaining patrol image data from a patrol device and analyzing to determine a fault device on a target line section being patrolled.

[0066] The patrol image data is data obtained by the patrol device according to current patrol task information of the target line segment, and the current patrol task information is task information generated based on a current line maintenance strategy of the target line segment.

[0067] Generally, the overhead transmission line is composed of multiple line segments, and the patrol device needs to patrol each line segment. When the computer device determines to patrol a certain line segment, the line name of the line segment, the tower identification included in the line segment, and the like can be carried in the current patrol task information, and the line segment is the target line segment that needs to be patrolled by the patrol device.

[0068] In the embodiment of the application, the patrol device can be a device with a shooting and video recording function, such as a drone, or a flyable device with a camera.

[0069] The current patrol task information can be parameter information related to the patrol task, such as the patrol cycle of the patrol device, the patrol route, and the type of the patrol device, and the specific content of the current patrol task information is not limited in the embodiment.

[0070] Optionally, the current patrol task information can specifically include patrol plan information, nest identification corresponding to the current patrol plan information, and route information corresponding to the current patrol plan information. The current patrol plan information can be daily plan information, weekly plan information, monthly plan information, and the like, and the current patrol plan information includes the start and end time of the current patrol task, the patrol frequency of the current patrol task, the patrol mode, the type of the patrol device, the flight frequency of the patrol device, the lens type of the patrol device, and the line segment that needs to be patrolled. The patrol frequency is, for example, 2 times / day, 2 times / week, 1 time / month, 1 time / 3 months, 1 time / 6 months, and the like, and the patrol mode is, for example, fine patrol, infrared camera patrol, and channel patrol, where the channel patrol refers to camera patrol with an RGB color mode including red (R), green (G), and blue (B) colors.

[0071] In the embodiment, the current patrol task information is task information generated based on a current line maintenance strategy of the target line segment, and the current line maintenance strategy includes the management and control level and the patrol frequency of the target line segment. The management and control level includes, for example, level IV, level III, level II, and level I. Among them, level IV represents that the line segment can normally operate and attention can be reduced, level III represents that the line segment is basically in a normal operating state and appropriate attention is needed, level II represents that the line segment has relatively large operating pressure and the patrol intensity needs to be increased and vigilance needs to be kept at all times, and level I represents that the line segment has problems and needs to be maintained or kept ready for maintenance at all times.

[0072] It should be noted that different management and control levels can correspond to different patrol modes, types of patrol devices, flight times of patrol devices, and lens types of patrol devices. Therefore, based on the management and control level of the target line segment, the current patrol task information can be determined to include the patrol mode, the type of the patrol device, the flight times of the patrol device, and the lens type of the patrol device. The patrol mode can include fine patrol, infrared camera patrol, channel patrol, etc.

[0073] In this example, the patrol device can obtain different types of image data during the patrol. High-definition photos can be obtained through fine patrol, for example, photos of fine patrol around the tower mainly capture the tower body and various devices on the tower at close range to form high-definition photos, providing data for the next step of automatic analysis; infrared photos can be obtained through infrared camera patrol, which mainly captures the devices on the tower at close range to form high-definition photos, and obtains temperature information of the devices, especially the tension clamp and insulator, to provide data for monitoring the temperature state of the device; channel photos can be obtained through channel patrol, which mainly captures the range around the line to mainly check the line obstacle hidden danger.

[0074] In the embodiments of the present application, image recognition technology in the field of artificial intelligence can be used to analyze the patrol image data, for example, using a convolutional neural network, to obtain the fault device of the target line segment. The existing image recognition technology can be used to quickly identify a large number of pictures generated by the patrol device, and the device state can be quickly identified to provide a reference basis for formulating the line patrol strategy. The device state includes the fault state and the normal state.

[0075] S202, determining the health degree of the target line segment according to the type of the fault device.

[0076] Optionally, the computer device can determine the importance level corresponding to the fault device according to the type of the fault device, and then determine the health degree of the target line segment according to the importance level corresponding to the fault device.

[0077] In this embodiment, the computer device can pre-set a corresponding relationship between different types of line devices and different importance levels inside the computer device, so that the computer device can determine the importance level corresponding to the type of the fault device according to the corresponding relationship after learning the type of the fault device. Optionally, the computer device can also pre-set a corresponding relationship between different importance levels and different health degrees inside the computer device, and determine the health degree corresponding to the importance level of the fault device from the corresponding relationship. The higher the importance level of the line device, the more important the line device, and the more important the line device, the less healthy the line segment where the line device is located.

[0078] S203, generating a new line maintenance strategy of the target line section according to the health degree of the target line section and the importance degree of the target line section.

[0079] Optionally, the generating of the new line maintenance strategy of the target line section according to the health degree of the target line section and the importance degree of the target line section can be implemented in the following way:

[0080] According to the health degree of the target line section, a first line maintenance strategy of the target line section is determined; according to the importance degree of the target line section, a second line maintenance strategy of the target line section is determined; and according to the first line maintenance strategy and the second line maintenance strategy, a new maintenance strategy of the target line section is generated.

[0081] In the embodiment, the computer device can be preset with different corresponding relationships between health degrees and line maintenance strategies, so that after the health degree of the target line section is determined, the corresponding line maintenance strategy of the target line section, i.e., the first line maintenance strategy, can be determined. The computer device can also be preset with different corresponding relationships between importance degrees and line maintenance strategies, so that after the importance degree of the target line section is determined, the second line maintenance strategy of the target line section can be determined, and then the new maintenance strategy of the target line section can be generated according to the first line maintenance strategy and the second line maintenance strategy.

[0082] The line maintenance strategy generation method provided in the embodiment can obtain and analyze the patrol image data from the patrol device by the computer device, determine the fault device on the target line section, and then determine the health degree of the target line section according to the type of the fault device, and generate the new line maintenance strategy of the target line section according to the health degree of the target line section and the importance degree of the target line section. In the process of generating the maintenance strategy, the image data collected by the patrol device does not need to be uploaded to the image recognition system by manual operation, but the patrol image data is directly obtained from the patrol device, so that the manual participation in the process of obtaining the patrol image data is reduced. In the embodiment, after the patrol image data is obtained, the patrol image data can be analyzed to determine the fault device, and then the health degree of the target line section can be determined according to the type of the fault device, and the maintenance strategy of the target line section can be automatically generated according to the health degree and the importance degree of the target line section, so that the manual participation is further reduced and the creation efficiency of the line maintenance strategy is improved.

[0083] Figure 3 A flowchart of a health degree determination method provided in the embodiment of the application. The embodiment relates to a possible implementation manner in which the computer device determines the health degree of the target line section according to the type of the fault device. On the basis of the above embodiment, the above S202 can be implemented in the following steps:

[0084] S301: Determine the quantitative value of the fault device according to the type of the fault device from a preset first correspondence relationship; wherein the first correspondence relationship comprises a correspondence relationship between different types of line devices and different quantitative values.

[0085] The first correspondence relationship is preset in the computer device, and a correspondence relationship between different types of line devices and different quantitative values is shown in Table 1. Table 1 only exemplarily introduces some types of line devices, and it can be understood that the types of line devices can also include other types of devices that need to be patrolled and maintained.

[0086]

[0087]

[0088] Table 1

[0089] The quantitative value of the fault device is determined according to the type of the fault device from the preset first correspondence relationship. For example, if the determined fault device is a connecting hardware, it can be determined from Table 1 that the quantitative value of the fault device is 12; if the determined fault device includes a connecting hardware and a cotter pin, the quantitative value of the determined fault device includes the quantitative value of the connecting hardware and the quantitative value of the cotter pin, i.e. is equal to 20.

[0090] S302: Determine the health degree of the target line section according to the ideal quantitative value of the target line section and the quantitative value of the fault device.

[0091] Optionally, if the ideal quantitative value of the target line section is the product of the quantitative values of all line devices on the line section, after obtaining the quantitative value of the fault device, the computer device can divide the ideal quantitative value of the target line section by the quotient value of the quantitative value of the fault device to obtain the current quantitative value of the target line section, and then determine the health degree of the target line section according to the current quantitative value of the target line section and a preset second correspondence relationship; wherein the second correspondence relationship comprises a correspondence relationship between different quantitative value intervals of the line section and different health degrees.

[0092] For example, if the ideal quantitative value is 100, if the fault device includes a connecting hardware and a cotter pin, and the quantitative value of the fault device is equal to 20, then the quotient value of the ideal quantitative value of the target line section and the quantitative value of the fault device is equal to 5. The quotient value can be used as the current quantitative value of the target line section, or the product of the quotient value and a preset coefficient can be used as the current quantitative value of the target line section. In this case, the lower the current quantitative value of the target line section, the less healthy the target line section is.

[0093] Optionally, the computer device can further obtain a current quantification value of the target line section according to a difference between the ideal quantification value of the target line section and the quantification value of the fault device; and determine the health degree of the target line section according to the current quantification value of the target line section and a preset second correspondence relationship; wherein the second correspondence relationship comprises a correspondence relationship between different quantification value intervals of the line section and different health degrees.

[0094] In this embodiment, the ideal quantification value of the target line section is for example 100, if the fault device comprises the connecting hardware and the split pin, the quantification value of the fault device is equal to 20, and the difference between the ideal quantification value of the target line section and the quantification value of the fault device is equal to 80. The difference can be taken as the current quantification value of the target line section, or the product of the difference and a preset coefficient can be taken as the current quantification value of the target line section. In this case, the higher the current quantification value of the target line section, the healthier the target line section.

[0095] The health degree of the target line section is determined according to the current quantification value of the target line section and the preset second correspondence relationship. The higher the quantification value of the line section, the healthier the line section, and the correspondence relationship between different quantification value intervals of the line section and different health degrees is for example shown in Table 2 below:

[0096] Quantized value of line section Health degree Interval 1 Normal Interval 2 Attention Interval 3 Abnormal Interval 4 Serious

[0097] Table 2

[0098] In Table 2 above, the different quantification value intervals comprise for example four intervals, i.e. interval 1, interval 2, interval 3 and interval 4, interval 1 is an interval with a quantification value greater than or equal to 90, interval 2 is an interval with a quantification value greater than or equal to 75 and less than 90, interval 3 is an interval with a quantification value greater than or equal to 60 and less than 75, and interval 4 is an interval with a quantification value less than 60. It should be noted that the above-mentioned boundary values of the intervals are only illustrative.

[0099] It should be noted that the ideal quantification value of the target line section can also be for example 0, if the fault device comprises the connecting hardware and the split pin, the quantification value of the fault device is equal to 20, and the difference between the ideal quantification value of the target line section and the quantification value of the fault device is equal to -20. The absolute value of the difference can be taken as the current quantification value of the target line section, or the product of the absolute value of the difference and a preset coefficient can be taken as the current quantification value of the target line section. In this case, the lower the current quantification value of the target line section, the healthier the target line section.

[0100] In this embodiment, the quantitative value of the faulty device is determined from the preset first correspondence relationship according to the type of the faulty device. The quantitative value of the line device in the first correspondence relationship is generally set according to the importance of the line device in the line section. The greater the role or importance of the line device in the line section, the greater the quantitative value of the line device. If a more important line device fails, it means that the line section is less healthy. Therefore, the quantitative value of the faulty device determined from the preset first correspondence relationship according to the type of the faulty device can more accurately reflect the health degree of the line section. In addition, in this embodiment, the current quantitative value of the target line section is obtained by subtracting the difference between the ideal quantitative value of the target line section and the quantitative value of the faulty device. Then, the health degree of the target line section is determined according to the current quantitative value of the target line section and the preset second correspondence relationship. Since the quantitative value of the faulty device obtained can more accurately reflect the health degree of the line section, the current quantitative value of the target line section obtained can also more accurately reflect the health degree of the line section. Therefore, the accuracy of the health degree of the target line section determined according to the current quantitative value of the target line section and the preset second correspondence relationship is more consistent with the actual health degree of the line section.

[0101] Figure 4 Another flowchart of a line maintenance strategy generation method is provided in the embodiments of the present application. The embodiments relate to an optional implementation of how the computer device generates a new line maintenance strategy according to the health degree of the target line section and the importance of the target line section. Based on the above embodiments, S203 can include the following steps:

[0102] S401: determining the management and control level of the target line section according to the health degree of the target line section and the importance of the target line section.

[0103] Optionally, the computer device can set the importance of different line sections according to the role of these line sections in the entire power transmission line. Therefore, when the computer device determines the target line section, it can actually obtain the importance of the target line section. For example, the importance includes general, attention, important, and critical. If the importance of a line section is the highest, the importance of the line section is critical, and the importance of the line section can be set according to actual needs. The computer device stores a correspondence relationship between line sections and pre-set importance, and the importance of the target line section can be determined according to the correspondence relationship between line sections and pre-set importance.

[0104] When the computer device determines the importance and health degree of the target line section, it can determine the management and control level of the target line section.

[0105] Optionally, the computer device may determine the control level of the target line segment based on the correspondence between the health and importance of different line segments and different control levels.

[0106] For example, when the health level of a line segment is normal and the importance level is general, the control level corresponding to the health level and importance level is level IV; when the health level of a line segment is abnormal and the importance level is general, the control level corresponding to the health level and importance level is level III. The corresponding relationship between the health level and importance level of different line segments and different control levels is shown in Table 3 below:

[0107]

[0108] Table 3

[0109] Optionally, the computer device can determine the control level of the target line segment from a preset third correspondence based on the health level and the importance of the target line segment; wherein the third correspondence includes the correspondence between different health levels of the line segments, different importance levels of the line segments and different control levels.

[0110] Specifically, the third corresponding relationship can be as follows Figure 5 As shown, refer to Figure 5 , Figure 5 This is a schematic diagram of a third corresponding relationship provided in an embodiment of the present application. Figure 5 In the third correspondence shown, different importance levels of line segments are arranged in sequence along the vertical axis, and each importance level corresponds to multiple control levels in a row. Different health levels are arranged in sequence along the horizontal axis, and each health level corresponds to multiple control levels in a column. Figure 3 The third corresponding relationship shown in FIG, and when the importance and health of the target line segment are known, the control level of the target line segment can be determined. Figure 5 As shown in the figure, the importance of the target route segment is attention, and the corresponding control level of attention is the control level shown in the second column. If the health level of the target route segment is concern, the corresponding control level of concern is the control level shown in the third row. The control level in the area where the second column and the third row intersect is determined as the control level of the target route segment, and the control level of the target route segment is level III.

[0111] Alternatively, in the third correspondence, route segments of varying importance are arranged sequentially along the horizontal axis, with each importance corresponding to multiple control levels in a column. Different health levels are arranged sequentially along the vertical axis, with each health level corresponding to multiple control levels in a row. Similarly, the third correspondence can be used to determine the control level of a target route segment, given its importance and health.

[0112] S402: generating a new line maintenance strategy of the target line section according to the management and control level of the target line section.

[0113] It should be noted that, Figure 5 IV in the table 1 indicates that the line section is generally important and normal in health, which means that the line section can operate normally and attention can be reduced; III indicates that the line section is important and attention and the health is attention and abnormal, which means that the line section basically operates normally and needs appropriate attention; II indicates that the line section is important and critical and the health is abnormal and serious, which means that the line section has relatively large operation pressure and needs to increase the inspection intensity and keep alert at all times; I indicates that the line section is important and critical and the health is abnormal and serious, which means that the line section has problems and needs to be maintained or keep maintenance preparation at all times.

[0114] In this embodiment, the computer device can generate a new line maintenance strategy of the target line section according to the management and control level of the target line section, which can refer to the following table 4. Table 4 shows the correspondence between different management and control levels of the line section and different inspection frequencies. In the case of determining the management and control level of the target line section, a new line maintenance strategy of the target line section is generated according to the correspondence shown in the following table 4.

[0115] Control level Inspection frequency Ⅳ 1 time / 9 months Ⅲ 1 time / 6 months Ⅱ 1 time / 1 month Ⅰ 1 time / 1 day

[0116] Table 4

[0117] It should be noted that in the traditional technology, the line maintenance strategy is formulated by manually according to the equipment defect data, and the manual participation may cause errors caused by human factors, so that the line maintenance strategy formulated has large deviation from the actual inspection demand. In this embodiment, the health degree of the target line section is determined according to the type of the fault equipment, and the new line maintenance strategy of the target line section is generated according to the health degree of the target line section and the importance of the target line section. Since manual participation is not required, the new line maintenance strategy is automatically generated, which avoids the problem of large deviation caused by manual participation, and the new line maintenance strategy of the target line section generated is more in line with the actual inspection demand.

[0118] In one embodiment, as shown in Figure 6 , Fig. 5 is a flow diagram of another line maintenance strategy generation method provided by the embodiments of the present application. The method comprises the following steps: Figure 6

[0119] S601, generating current inspection plan information of the target line section according to the current maintenance strategy of the target line section.

[0120] ​Referring to Table 4, for example, the current maintenance strategy of the target line section includes a control level II, and a patrol frequency of 1 time per month. The generated current patrol plan information includes a start time and an end time of the current patrol task, the patrol frequency of the current patrol task, a patrol mode, a type of a patrol device, a flight number of the patrol device, a lens type of the patrol device, and a line section to be patrolled. Since different control levels correspond to different patrol modes, types of patrol devices, flight numbers of patrol devices, and lens types of patrol devices, the patrol mode, the type of the patrol device, the flight number of the patrol device, and the lens type of the patrol device included in the current patrol plan information can be determined based on the control level of the target line section. After obtaining the patrol frequency of the target line section, the start time and the end time of the patrol task can be determined according to the patrol frequency. For example, the patrol frequency is 1 time per month, and if the time when the patrol frequency of the target line section is obtained is April 10, 2021, the start time of the patrol task is April 10, 2021, and the end time of the patrol task is May 9, 2021, that is, the patrol task is performed once a month.

[0121] It should be noted that the patrol plan information can further include a responsible person of the patrol task, and a superior organization or department to which the responsible person belongs.

[0122] S602, generating current patrol task information according to the current patrol plan information, the nest identifier corresponding to the current patrol plan information, and the flight route information corresponding to the current patrol plan information.

[0123] The current patrol task information includes the current patrol plan information, the nest identifier corresponding to the current patrol plan information, and the flight route information corresponding to the current patrol plan information.

[0124] Each line section corresponds to at least one nest identifier and flight route information. According to the line section to be patrolled in the patrol plan information, the nest identifier and the flight route information corresponding to the line section can be determined. Therefore, according to the target line section to be patrolled in the current patrol plan information, the nest identifier and the flight route information corresponding to the target line section can be determined. The current patrol task information includes the determined nest identifier and flight route information corresponding to the target line section, and the patrol device can execute the process of patrolling the target line section according to the current patrol task information.

[0125] S603, sending a patrol request to the patrol device through the nest corresponding to the nest identifier.

[0126] The patrol request includes the current patrol task information, and the patrol request is used to instruct the patrol device to patrol the target line section according to the current patrol task information.

[0127] After sending the inspection request to the inspection device through the nest identifier corresponding to the nest, the corresponding inspection response from the inspection device is received. The inspection response is used to notify the computer device whether the inspection request is successfully received. Figure 1 whether the inspection request is successfully received.

[0128] After receiving the inspection request, the inspection device inspects the target line segment. The inspection device performs the corresponding inspection task according to the inspection mode and the flight route information in the current inspection task information, and collects image data of the target line segment.

[0129] S604, obtain the inspection image data from the inspection device and analyze it to determine the fault device on the target line segment.

[0130] In this step, the inspection image data can be obtained from the inspection device at regular intervals or in real time. During the inspection process of the inspection device, the inspection device can also collect video data, which mainly monitors the flight of the inspection device in real time. During the inspection process of the inspection device, the computer device can also obtain the flight trajectory and flight state of the inspection device through the nest, which facilitates subsequent data management and viewing of the flight information of the inspection device. The data obtained by the computer device can refer to Table 5 as follows, which shows different strategies for pulling data from the inspection device for different types of image data, flight state and flight trajectory.

[0131]

[0132]

[0133] Table 5

[0134] S605, determine the health degree of the target line segment according to the type of the fault device.

[0135] S606, generate a new line maintenance strategy for the target line segment according to the health degree of the target line segment and the importance of the target line segment.

[0136] The above S601 to S606 realizes the closed loop of the inspection business, reduces the manual participation, and does not need to manually upload the image data stored on the unmanned aerial vehicle to the image recognition system, thereby avoiding data delay, realizing quick transformation and utilization of image data, simplifying the creation process of the maintenance strategy, and improving the creation efficiency of the maintenance strategy. In this regard Figure 7 The closed loop of the inspection business is described. Referring to Figure 6 , Figure 6 is a business process cycle diagram of a line maintenance strategy generation method provided by an embodiment of the present application. The business process of the inspection business closed loop includes automatic planning, automatic dispatching, automatic inspection, automatic analysis, automatic evaluation, and automatic strategy.

[0137] The computer device generates current inspection plan information of the target line section according to the current maintenance strategy of the target line section, realizes the process of automatic strategy to automatic plan shown in Figure 7 For example, the current maintenance strategy of the target line section is 1 time / 1 day, that is, the inspection frequency in the inspection plan information can be determined as 1 time / 1 day, according to which the start and end times of the inspection task can be determined, that is, the start time is any time between 6 am and 8 am, and the end time is any time between 6 pm and 8 pm. The current maintenance strategy includes the current management and control level of the target line section, each management and control level corresponds to an inspection mode, for example, the management and control level is level I, and the corresponding inspection mode is fine inspection; the management and control level is level II, and the corresponding inspection mode is infrared camera inspection; the management and control level is level III and level IV, and the corresponding inspection mode is channel inspection. If the current management and control level of the target line section is level I, the inspection mode of the current inspection task of the target line section can be determined as fine inspection. The management and control level can also correspond to the type of the inspection device, the number of flights of the inspection device, the lens type of the inspection device, and the like, so that in the case where the current management and control level of the target line section is known, the type of the inspection device, the number of flights of the inspection device, and the lens type of the inspection device performing the current inspection task can be determined. Therefore, according to the current maintenance strategy of the target line section, the current inspection plan information of the target line section can be automatically generated.

[0138] Then, the computer device can implement the inspection request to the nest corresponding to the target line section through the Internet of Things, the nest issues the inspection request to the inspection device, and the inspection device receives the inspection request and automatically performs the inspection task according to the current inspection task information in the inspection request, inspects the target line section, obtains the inspection image data of the target line section, realizes the process of automatic dispatching and automatic inspection shown in Figure 7 And in the traditional technology, the work personnel needs to take the inspection device to the specified place and manually control the working state of the inspection device.

[0139] Further, the computer device acquires the inspection image data from the inspection device periodically or in real time, realizes the timely return of the inspection image data, and further realizes the automatic analysis of the inspection image data based on image recognition technology, realizes the process of automatic analysis in Figure 7 The system can also acquire the trajectory and flight state of the inspection device, and store the acquired inspection image data, trajectory and flight state of the inspection device, so as to facilitate the viewing of the flight trajectory and flight state of the inspection device, and if the inspection device fails during the inspection process and lands, the inspection device can be found according to the stored flight trajectory.

[0140] By analyzing the patrol image data, the fault equipment is identified, the health degree of the target line section is determined according to the type of the fault equipment, the management and control level of the target line section is determined according to the health degree of the target line section and the importance degree of the target line section, and the process of automatic evaluation in Figure 7 is realized. According to the management and control level of the target line section, the new line maintenance strategy of the target line section is generated, and the process of automatic strategy in Figure 7 is realized.

[0141] The closed-loop process of the above patrol service reduces the manual participation degree in the process of creating the line maintenance strategy, and improves the line maintenance strategy creation efficiency.

[0142] It should be understood that, although each step in the flowcharts of Figure 2 , Figure 3 , Figure 4 , Figure 6 is displayed in sequence according to the arrow, these steps are not necessarily executed in sequence according to the arrow. Unless otherwise specified in this article, the execution of these steps does not have strict sequence restrictions, and these steps can be executed in other sequences. Moreover, Figure 2 , Figure 3 , Figure 4 , Figure 6 At least part of the steps in may include multiple steps or multiple stages, which are not necessarily executed at the same time, but can be executed at different times, and the execution sequence of these steps or stages is not necessarily sequential, but can be executed in rotation or alternation with at least part of other steps or steps or stages in other steps.

[0143] In one embodiment, as shown in Figure 8 , Figure 8 is a structural schematic diagram of a line maintenance strategy generation device provided by an embodiment of the present application. The device 800 includes:

[0144] The acquisition module 810 is configured to acquire patrol image data from a patrol device and perform analysis to determine a fault equipment on a target line section being patrolled. The patrol image data is data obtained by the patrol device from the target line section according to current patrol task information. The current patrol task information is task information generated based on a current line maintenance strategy of the target line section.

[0145] The determination module 820 is configured to determine a health degree of the target line section according to a type of the fault equipment.

[0146] The generating module 830 is configured to generate a new line maintenance strategy of the target line section according to the health degree of the target line section and the importance degree of the target line section.

[0147] The line maintenance strategy generation apparatus provided by the embodiments of the present application determines the fault device on the target line section by obtaining and analyzing the inspection image data from the inspection device, determines the health degree of the target line section according to the type of the fault device, and generates a new line maintenance strategy of the target line section according to the health degree of the target line section and the importance degree of the target line section. In the process of generating the maintenance strategy, the image data collected by the inspection device does not need to be uploaded to the image recognition system manually, but is directly obtained from the inspection device, thereby reducing the manual participation in the process of obtaining the inspection image data. In the embodiments, after obtaining the inspection image data, the inspection image data can be analyzed to determine the fault device, and then the health degree of the target line section is determined according to the type of the determined fault device, and the maintenance strategy of the target line section is automatically generated according to the health degree and the importance degree of the target line section, thereby further reducing the manual participation and improving the creation efficiency of the line maintenance strategy.

[0148] In one of the embodiments, the determining module 820 includes:

[0149] The first determining unit is configured to determine a quantitative value of the fault device from a preset first correspondence relationship according to the type of the fault device, wherein the first correspondence relationship includes a correspondence relationship between different types of line devices and different quantitative values;

[0150] The second determining unit is configured to determine the health degree of the target line section according to the ideal quantitative value of the target line section and the quantitative value of the fault device.

[0151] In one of the embodiments, the second determining unit is specifically configured to:

[0152] obtain a current quantitative value of the target line section according to a difference between the ideal quantitative value of the target line section and the quantitative value of the fault device;

[0153] determine the health degree of the target line section according to the current quantitative value of the target line section and a preset second correspondence relationship, wherein the second correspondence relationship includes a correspondence relationship between different quantitative value intervals of line sections and different health degrees.

[0154] In one of the embodiments, the generating module 830 includes:

[0155] The third determining unit is configured to determine a management and control level of the target line section according to the health degree of the target line section and the importance degree of the target line section.

[0156] The generating unit is configured to generate a new line maintenance strategy for the target line section according to the management level of the target line section.

[0157] In one of the embodiments, the third determining unit is specifically configured to determine the management level of the target line section from a preset third correspondence relationship according to the health degree and the importance degree of the target line section, wherein the third correspondence relationship includes a correspondence relationship between different health degrees of line sections, different importance degrees of line sections, and different management levels.

[0158] In one of the embodiments, the device further includes:

[0159] The planning information generating module is configured to generate current inspection plan information of the target line section according to the current line maintenance strategy of the target line section.

[0160] The inspection task information generating module is configured to generate the current inspection task information according to the current inspection plan information, a nest identifier corresponding to the current inspection plan information, and flight route information corresponding to the current inspection plan information.

[0161] In one of the embodiments, the device further includes:

[0162] The sending module is configured to send the inspection request to the inspection device through a nest corresponding to the nest identifier, wherein the inspection request includes the current inspection task information, and the inspection request is used to instruct the inspection device to perform inspection on the target line section according to the current inspection task information.

[0163] The receiving module is configured to receive an inspection response from the inspection device.

[0164] The specific limitation of the line maintenance strategy generation device can refer to the limitation of the line maintenance strategy generation method in the foregoing description, and will not be repeated here. Each module in the line maintenance strategy generation device can be realized by software, hardware, and a combination thereof in whole or in part. The above-mentioned modules can be embedded in or independent of the processor in the computer device in hardware form, or can be stored in the memory in the computer device in software form, so as to call and execute the operations corresponding to each module by the processor.

[0165] In one embodiment, a computer device is provided, which can be a server, and an internal structure diagram of the computer device can be as shown in Figure 8 Figure 8 ​An internal structure diagram of a computer device provided in an embodiment of the present application. The computer device includes a processor, a memory and a network interface connected through a system bus. The processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program and a database. The internal memory provides an environment for running the operating system and the computer program in the non-volatile storage medium. The database of the computer device is configured to store patrol image data. The network interface of the computer device is configured to communicate with an external terminal through a network connection. The computer program, when executed by the processor, implements a line maintenance strategy generation method.

[0166] Those skilled in the art can understand that, Figure 8 The structure shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the computer device to which the scheme of the present application is applied. A specific computer device can include more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0167] In one embodiment, a computer device is provided, including a memory and a processor. The memory stores a computer program. The processor executes the computer program to implement the steps of the above-mentioned method embodiments.

[0168] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by a computer program instructing related hardware. The computer program can be stored in a non-volatile computer readable storage medium. When the computer program is executed, it can include the processes of the above-mentioned embodiments. In the embodiments provided by the present application, any reference to the memory, storage, database or other medium can include at least one of the non-volatile and volatile memories. The non-volatile memory can include a read-only memory (ROM), a magnetic tape, a floppy disk, a flash memory or an optical storage, etc. The volatile memory can include a random access memory (RAM) or an external cache memory. As an illustration but not as a limitation, the RAM can be in various forms, such as static random access memory (SRAM) or dynamic random access memory (DRAM), etc.

[0169] Any combination of the technical features in the above embodiments can be made, and for the sake of brevity, not all possible combinations are described above, however, as long as the combination of the technical features does not exist in contradiction, it shall be considered within the scope of the present disclosure.

[0170] The above embodiments only express several implementation manners of the present application, and the description is relatively specific and detailed, but it shall not be understood as a limitation on the patent scope of the present application. It shall be pointed out that, for ordinary skilled persons in the art, several modifications and improvements can be made without departing from the concept of the present application, and these shall be within the protection scope of the present application. Therefore, the protection scope of the patent of the present application shall be subject to the appended claims.

Claims

1. A method of line maintenance strategy generation, characterized by, The method is applied to a system comprising a computer device, a nest and a patrol device, the computer device communicates with the nest through the Internet of Things, the nest is a take-off and landing platform of the patrol device, and is used for storing the patrol device and charging the patrol device, and the method comprises: According to the current line maintenance strategy of the target line section, current patrol plan information of the target line section is generated; the current patrol plan information comprises start and end time of the current patrol task, patrol frequency of the current patrol task, patrol mode, type of the patrol device, flight frequency of the patrol device, lens type of the patrol device, and line section to be patrolled; the current line maintenance strategy is a historical line maintenance strategy generated after the patrol device performs the last patrol on the target line section; the historical line maintenance strategy is generated according to the health degree of the target line section and the importance degree of the target line section determined after the patrol device performs the last patrol on the target line section; According to the current patrol plan information, the nest identifier corresponding to the current patrol plan information, and the route information corresponding to the current patrol plan information, the current patrol task information is generated; A patrol request is sent to the nest corresponding to the nest identifier based on the Internet of Things, so that the patrol request is sent to the patrol device through the nest corresponding to the nest identifier; wherein the patrol request comprises the current patrol task information, and the patrol request is used to instruct the patrol device to patrol the target line section according to the current patrol task information; Patrol image data obtained by the patrol device based on the current patrol task information in the patrol request and analyzed to determine the fault device on the target line section are obtained from the patrol device; The health degree of the target line section is determined according to the type of the fault device; According to the health degree of the target line section and the importance degree of the target line section, a new line maintenance strategy of the target line section after the current patrol is generated, the new line maintenance strategy is taken as the current line maintenance strategy, and the step of generating the current patrol plan information of the target line section according to the current line maintenance strategy of the target line section is returned.

2. The method of claim 1, wherein, The health degree of the target line section is determined according to the type of the fault device, comprising: According to the type of the fault device, a quantitative value of the fault device is determined from a preset first correspondence relationship; wherein the first correspondence relationship comprises a correspondence relationship between different types of line devices and different quantitative values; According to the ideal quantitative value of the target line section and the quantitative value of the fault device, the health degree of the target line section is determined.

3. The method of claim 2, wherein, According to the ideal quantitative value of the target line section and the quantitative value of the fault device, the health degree of the target line section is determined, comprising: According to the difference between the ideal quantitative value of the target line section and the quantitative value of the fault device, a current quantitative value of the target line section is obtained. According to the current quantization value of the target line segment and a preset second correspondence relationship, a health degree of the target line segment is determined, wherein the second correspondence relationship includes a correspondence relationship between different quantization value intervals of a line segment and different health degrees.

4. The method of claim 1, wherein, The generating of the new line maintenance strategy of the target line segment according to the health degree of the target line segment and the importance degree of the target line segment includes: According to the health degree of the target line segment and the importance degree of the target line segment, a management and control level of the target line segment is determined. According to the management and control level of the target line segment, the new line maintenance strategy of the target line segment is generated.

5. The method of claim 4, wherein, The determining of the management and control level of the target line segment according to the health degree and the importance degree of the target line segment includes: According to the health degree and the importance degree of the target line segment, the management and control level of the target line segment is determined from a preset third correspondence relationship, wherein the third correspondence relationship includes a correspondence relationship between different health degrees of a line segment, different importance degrees of a line segment and different management and control levels.

6. A line maintenance strategy generation apparatus characterized by comprising: The device is arranged in a computer device in a system, the system including the computer device, a nest and a patrol device, the computer device and the nest being in communication through the Internet of Things, the nest being a take-off and landing platform of the patrol device, used for storing the patrol device and charging the patrol device, and the device including: A plan information generation module is configured to generate current patrol plan information for a current time of patrol on a target line segment according to a current line maintenance strategy of the target line segment. The current patrol plan information includes start and end times of a current patrol task, a patrol frequency of the current patrol task, a patrol mode, a type of a patrol device, a number of flights of the patrol device, a lens type of the patrol device, and a line segment to be patrolled. The current line maintenance strategy is a historical line maintenance strategy generated after a previous patrol on the target line segment by a patrol device. The historical line maintenance strategy is generated according to a health degree of the target line segment and an importance degree of the target line segment determined after the previous patrol on the target line segment by the patrol device. A patrol task information generation module is configured to generate the current patrol task information according to the current patrol plan information, a nest identifier corresponding to the current patrol plan information, and route information corresponding to the current patrol plan information. A sending module is configured to send a patrol request to a nest corresponding to the nest identifier based on the Internet of Things, so as to send the patrol request to the patrol device through the nest corresponding to the nest identifier. The patrol request includes the current patrol task information, and the patrol request is used to instruct the patrol device to patrol the target line segment according to the current patrol task information. An obtaining module is configured to obtain patrol image data obtained by the patrol device based on the current patrol task information in the patrol request and perform analysis on the patrol image data, so as to determine a fault device on the target line segment patrolled. determining a health degree of the target line section according to the type of the faulty device; generating a new line maintenance strategy of the target line section after the current round of inspection according to the health degree of the target line section and the importance degree of the target line section, taking the new line maintenance strategy as a current line maintenance strategy, and returning to perform the step of generating the current inspection plan information of the target line section according to the current line maintenance strategy of the target line section. 7.A computer device, comprising a memory and a processor, wherein the memory stores a computer program, and the computer device is configured to perform the method according to any one of claims 1-6 when the computer program is executed by the processor. The processor, when executing the computer program, implements the steps of the method in any one of claims 1 to 5.

8. A computer-readable storage medium having stored thereon a computer program, characterized in that, The computer program, when executed by the processor, implements the steps of the method in any one of claims 1 to 5.

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