Distribution line insulation street code with falling-off detection function

Abstract

The embodiment of the invention provides a distribution line insulation street code with a falling-off detection function. The distribution line insulation street code comprises a data processing module, an image acquisition module and a communication module which are arranged on a street code body. After the image acquisition module shoots the first image in the direction of the street code body, the data processing module determines the falling risk level according to the first image, generates the maintenance information according to the falling risk level, and sends the maintenance information to the user terminal, so that the maintenance personnel can check the maintenance information of the user terminal, and the maintenance efficiency is improved. Therefore, the falling risk level of the street code can be obtained, and the maintenance strategy of the street code is formulated according to the falling risk level of the street code. According to the embodiment of the invention, the street code can automatically and periodically detect the falling risk level of the street code and inform the maintenance personnel by sending the maintenance information, so that workers do not need to check the street codes one by one on site, and a large amount of labor cost and time cost are saved while the maintenance efficiency of the street code is improved.

Description

Technical Field

[0001] The embodiments of the present application relate to the field of power systems, and in particular to an insulation code for a distribution line with a shedding detection function. Background Art

[0002] With the rapid development of my country's economy, the demand for electricity in production and life is increasing. People have put forward higher requirements for the stability and reliability of power supply, which in turn promotes the improvement and optimization of distribution network line construction. The insulation code of distribution line (hereinafter referred to as the code) is an important carrier in the construction of urban power grid lines. It is used to realize the construction of low-voltage lines. The firmness of the code affects the stability of power supply to a certain extent.

[0003] At present, when checking whether the street code has fallen off, staff are required to go to the site to check the street codes one by one, which leads to low maintenance efficiency of the street codes and consumes a lot of manpower and time costs. Summary of the invention

[0004] An embodiment of the present invention provides a distribution line insulation street code with a fall-off detection function. The street code in the embodiment of the present invention can detect its own fall-off risk and send maintenance information to a user terminal, so that the staff can determine whether the street code needs to be repaired by checking the maintenance information, thereby improving the maintenance efficiency of the street code and solving the technical problem of low maintenance efficiency of the street code in the prior art.

[0005] In a first aspect, an embodiment of the present invention provides a distribution line insulation street code with a fall-off detection function, comprising a data processing module, an image acquisition module and a communication module arranged on a street code body, wherein the data processing module is connected to the image acquisition module and the communication module;

[0006] The image acquisition module is used to periodically capture a first image in the direction of the street code body, and transmit the first image to the data processing module;

[0007] The data processing module is used to determine the looseness of the cable fixed on the street code body, the corrosion coefficient and the cracking coefficient of the street code body according to the first image; determine the first shedding coefficient according to the corrosion coefficient and the cracking coefficient, and determine the second shedding coefficient according to the looseness; determine the shedding risk level according to the first shedding coefficient and the second shedding coefficient; generate maintenance information according to the shedding risk level, and send the maintenance information to the communication module;

[0008] The communication module is used to send the maintenance information to a user terminal.

[0009] Among them, the data processing module is specifically used to determine the first distance of the cable fixed on the street code body relative to the street code body based on the first image; compare the first distance with the reference distance, and determine the looseness of the cable according to the comparison result. The reference distance is determined by taking an image of the cable when it is first fixed to the street code body.

[0010] The data processing module is specifically used to determine the corrosion area and the cracking area according to the first image; determine the corrosion coefficient according to the corrosion area, and determine the cracking coefficient according to the cracking area.

[0011] Among them, the data processing module is specifically used to determine the corrosion area of ​​the corrosion area, determine the first proportion of the corrosion area to the surface area of ​​the street code body; extract the corrosion color of the corrosion area, and determine the corrosion severity coefficient according to the corrosion color; determine the corrosion coefficient according to the corrosion severity coefficient and the first proportion.

[0012] Among them, the data processing module is specifically used to determine a first corrosion influence factor corresponding to the corrosion area; determine a second corrosion influence factor corresponding to the corrosion color, and determine the corrosion coefficient according to the corrosion severity coefficient, the first proportion, the first corrosion influence factor and the second corrosion influence factor.

[0013] Among them, the data processing module is specifically used to determine a first weight corresponding to the corrosion coefficient and a second weight corresponding to the cracking coefficient, respectively, and perform weighted summation of the corrosion coefficient and the cracking coefficient according to the first weight and the second weight to determine the first shedding coefficient.

[0014] Among them, the data processing module is specifically used to sum the first shedding coefficient and the second shedding coefficient to obtain a target shedding coefficient; determine the difference between the target shedding coefficient and the standard shedding coefficient, and determine the shedding risk level according to the difference, and the standard shedding coefficient is set in advance.

[0015] In a second aspect, an embodiment of the present invention provides a fall-off detection method, which is applicable to the distribution line insulation code with fall-off detection function described in the first aspect, and the fall-off detection method includes:

[0016] Periodically acquiring a first image in the direction of the street code body taken by the image acquisition module;

[0017] Determine, based on the first image, the looseness of the cable fixed on the street code body, the corrosion coefficient and the cracking coefficient of the street code body;

[0018] Determining a first shedding coefficient according to the corrosion coefficient and the cracking coefficient;

[0019] According to the looseness degree, determining a second shedding coefficient;

[0020] Determining a falling risk level according to the first falling coefficient and the second falling coefficient;

[0021] Maintenance information is generated according to the fall-off risk level, and the maintenance information is sent to the user terminal through a communication module.

[0022] In a third aspect, an embodiment of the present invention provides a fall-off detection device, which is applicable to the distribution line insulation code with a fall-off detection function as described in the first aspect, and the fall-off detection device includes:

[0023] An image acquisition unit, used for periodically acquiring a first image of each street code body photographed by the image acquisition module;

[0024] A street code state determination unit, used to determine the looseness of the cable fixed on the street code body, the corrosion coefficient and the cracking coefficient of the street code body according to the first image;

[0025] A first coefficient determination unit, used for determining a first shedding coefficient according to the corrosion coefficient and the cracking coefficient;

[0026] A second coefficient determination unit, used for determining a second shedding coefficient according to the looseness degree;

[0027] An emergency level determination unit, which determines a fall risk level according to the first fall coefficient and the second fall coefficient;

[0028] The information sending unit is used to generate maintenance information according to the falling risk level, and send the maintenance information to the user terminal through the communication module.

[0029] In a fourth aspect, an embodiment of the present invention provides a storage medium storing computer executable instructions, wherein the computer executable instructions, when executed by a computer processor, are used to execute a fall-off detection method as described in the second aspect.

[0030] The embodiment of the present invention provides a distribution line insulation street code with a fall-off detection function, including a data processing module, an image acquisition module and a communication module arranged on the street code body. After the image acquisition module captures a first image in the direction of the street code body, the data processing module determines the fall-off risk level according to the first image, and after generating maintenance information according to the fall-off risk level, the maintenance information is sent to the user terminal, so that the maintenance personnel can know the fall-off risk level of the street code by checking the maintenance information of the user terminal, and formulate a maintenance strategy for the street code according to the fall-off risk level of the street code. In the embodiment of the present invention, the street code can automatically and periodically detect its own fall-off risk level and inform the maintenance personnel by sending maintenance information. There is no need for the staff to go to the site to check the street codes one by one. While improving the maintenance efficiency of the street code, it also saves a lot of manpower and time costs. BRIEF DESCRIPTION OF THE DRAWINGS

[0031] Figure 1 A schematic diagram of the structure of a distribution line insulation code with a fall-off detection function provided in an embodiment of the present invention.

[0032] Figure 2 A schematic diagram of a flow chart of a fall-off detection method provided in an embodiment of the present invention.

[0033] Figure 3 A specific principle for determining the risk level of falling off is provided in an embodiment of the present invention.

[0034] Figure 4 A schematic structural diagram of a fall-off detection device provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0035] The following description and accompanying drawings fully illustrate the specific embodiments of the present application so that those skilled in the art can practice them. The examples represent possible variations only. Unless explicitly required, separate components and functions are optional, and the order of operation can vary. The parts and features of some embodiments may be included in or replace the parts and features of other embodiments. The scope of the embodiments of the present application includes the entire scope of the claims, and all available equivalents of the claims. In this article, each embodiment may be represented individually or generally by the term "invention", which is only for convenience, and if more than one invention is disclosed in fact, it is not intended to automatically limit the scope of the application to any single invention or inventive concept. In this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, without requiring or implying any actual relationship or order between these entities or operations. Moreover, the term "include", "comprise" or any other variant thereof is intended to cover non-exclusive inclusion, so that the process, method or device including a series of elements includes not only those elements, but also other elements that are not explicitly listed. The various embodiments are described in a progressive manner herein, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referred to each other. As for the structures, products, etc. disclosed in the embodiments, since they correspond to the parts disclosed in the embodiments, the description is relatively simple, and the relevant parts can be referred to the method part.

[0036] like Figure 1 As shown, Figure 1 A schematic diagram of the structure of a distribution line insulation code with a fall-off detection function provided in an embodiment of the present invention. The distribution line insulation code with a fall-off detection function provided in an embodiment of the present invention comprises a data processing module 101, an image acquisition module 102 and a communication module 103 arranged on the code body, the data processing module 102 is connected to the image acquisition module 102 and the communication module 103, and data can be transmitted between the data processing module 101, the image acquisition module 102 and the communication module 103.

[0037] The image acquisition module is used to periodically capture a first image in the direction of the street code body and transmit the first image to the data processing module.

[0038] The image acquisition module is a module for performing image acquisition. For example, the image acquisition includes a camera, and the image acquisition module acquires images through the camera. In this embodiment, the shooting angle of the image acquisition module is toward the street code body. The image acquisition module is used to periodically capture the first image in the direction of the street code body, wherein the interval of each cycle can be set according to actual needs, for example, the interval of the cycle can be set to 24 hours or 48 hours, etc., which is not specifically limited in this embodiment. After the image acquisition module captures the first image in each cycle, it transmits the first image to the data processing module.

[0039] The data processing module is used to determine the looseness of the cable fixed on the street code body, the corrosion coefficient and the cracking coefficient of the street code body according to the first image; determine the first shedding coefficient according to the corrosion coefficient and the cracking coefficient, and determine the second shedding coefficient according to the looseness; determine the shedding risk level according to the first shedding coefficient and the second shedding coefficient; generate maintenance information according to the shedding risk level, and send the maintenance information to the communication module.

[0040] Each time the data processing module receives the first image sent by the image acquisition module, it identifies the area where the street code body is located from the first image, and identifies and analyzes the image content of the area where the street code body is located, so as to determine the looseness of the cable fixed on the street code body, the corrosion coefficient of the street code body, and the cracking coefficient. The looseness of the cable refers to the looseness of the cable fixed on the street code body; the corrosion coefficient refers to the degree of corrosion of the street code body; and the cracking coefficient refers to the degree of cracking on the street code body. Exemplarily, in this embodiment, when the data processing module identifies and analyzes the image content of the area where the street code body is located, it is necessary to identify the street code body and the cable fixed on the street code body in the image content, and determine the position or curvature of the cable relative to the street code body. The looseness of the cable is determined according to the position or curvature of the cable relative to the street code body. The looser the cable, the higher the looseness of the cable. As for the corrosion coefficient and the cracking coefficient, the characteristics of the street code body surface can be extracted from the image content corresponding to the street code body, and the corrosion area and the cracking area can be identified according to the characteristics of the street code body surface. Finally, the corrosion coefficient and the cracking coefficient are determined according to the corrosion area and the cracking area respectively.

[0041] After determining the looseness of the cable, the corrosion coefficient and the cracking coefficient of the street code body, the data processing module needs to further determine the first shedding coefficient based on the corrosion coefficient and the cracking coefficient, wherein the first shedding coefficient is used to characterize the probability of the street code body falling off. It can be understood that when the street code body is corroded and cracked, it will affect the stability and reliability of the street code body, thereby increasing the probability of the street code body falling off. The more severe the corrosion coefficient and the cracking coefficient of this embodiment, the higher the first shedding coefficient, and the higher the possibility of the street code body falling off. At the same time, the data processing module also needs to determine the second shedding coefficient based on the looseness of the cable, wherein the second shedding coefficient is used to characterize the probability of the cable falling off from the street code body, and the higher the looseness of the cable, the greater the second shedding coefficient.

[0042] After determining the first shedding coefficient and the second shedding coefficient, the data processing module needs to further determine the shedding risk level according to the first shedding coefficient and the second shedding coefficient. Exemplarily, the user can pre-set the weights corresponding to the first shedding coefficient and the second shedding coefficient according to the degree of influence of the cable shedding on power transmission and the degree of influence of the street code shedding on power transmission. The data processing module can calculate the target shedding coefficient according to the first shedding coefficient, the second shedding coefficient and the weight, and determine the shedding risk level according to the target shedding coefficient.

[0043] After determining the shedding risk level, the data processing module can generate maintenance information according to the shedding risk level, and send the maintenance information to the communication module, which then sends the maintenance information to the user terminal. The maintenance personnel can learn the shedding risk level of the street code by checking the maintenance information of the user terminal, and determine whether the street code needs to be repaired and formulate a corresponding maintenance strategy according to the shedding risk level. In one embodiment, the maintenance information also includes the location of the street code body, so that the maintenance personnel can accurately determine the street code body that needs to be repaired.

[0044] In addition, the embodiment of the present invention also provides a fall-off detection method, such as Figure 2 As shown, it is a flow chart of the fall-off detection method provided by an embodiment of the present invention. The fall-off detection method can be executed by the data processing module of the distribution line insulation street code with the fall-off detection function. The fall-off detection method includes:

[0045] Step 201: Periodically obtain a first image in the direction of the street code body taken by an image acquisition module.

[0046] Step 202: Determine the looseness of the cable fixed on the street code body, the corrosion coefficient and the cracking coefficient of the street code body according to the first image.

[0047] Step 203: Determine a first shedding coefficient according to the corrosion coefficient and the cracking coefficient.

[0048] Step 204: Determine a second shedding coefficient according to the degree of looseness.

[0049] Step 205: Determine the shedding risk level according to the first shedding coefficient and the second shedding coefficient.

[0050] Step 206: Generate maintenance information according to the fall-off risk level, and send the maintenance information to the user terminal through the communication module.

[0051] As described above, an embodiment of the present invention provides a distribution line insulation street code with a fall-off detection function, including a data processing module, an image acquisition module, and a communication module arranged on the street code body. After the image acquisition module captures the first image in the direction of the street code body, the data processing module determines the fall-off risk level according to the first image, and after generating maintenance information according to the fall-off risk level, the maintenance information is sent to the user terminal, so that the maintenance personnel can know the fall-off risk level of the street code by checking the maintenance information of the user terminal, and formulate a maintenance strategy for the street code according to the fall-off risk level of the street code. In the embodiment of the present invention, the street code can automatically and periodically detect its own fall-off risk level and inform the maintenance personnel by sending maintenance information. There is no need for the staff to go to the site to check the street codes one by one. While improving the maintenance efficiency of the street code, it also saves a lot of manpower and time costs.

[0052] Based on the above embodiment, the data processing module is specifically used to determine a first distance of the cable fixed on the street code body relative to the street code body according to the first image; compare the first distance with the reference distance, and determine the looseness of the cable according to the comparison result. The reference distance is determined by taking an image of the cable when it is first fixed to the street code body.

[0053] In one embodiment, when determining the degree of looseness of the cable, the data processing module needs to identify the position of the street code body and the position of the cable fixed on the street code body from the first image. Specifically, the data processing module may first preprocess the first image, and the preprocessing process includes denoising and contrast enhancement, so as to make the features of the street code body and the cable more obvious. Afterwards, the edge detection algorithm (such as the Canny edge detector) is used to extract features from the first image to obtain edge information in the first image, and the edge information includes contour information of different objects. After obtaining the edge information, the shape features of each object in the first image are determined according to the edge information, and the street code body in the first image is identified and detected based on template matching or machine learning. Afterwards, on the basis of identifying the street code body, the cable connected to it is further identified, and the positions of the street code body and the cable are marked in the first image.

[0054] After determining the positions of the street code body and the cable, the first distance of the cable fixed on the street code body relative to the street code body can be further determined. The first distance is then compared with the reference distance, wherein the reference distance is determined by taking an image of the cable when it is first fixed to the street code body. It can be understood that when the cable is first installed on the street code body and the installation of the cable meets the operating standards, the cable can be fixed on the street code more firmly, and the distance between the cable and the street code body is fixed. After the cable is loosened, the tension on the cable will change, resulting in a certain displacement of the cable, and the relative position between the cable and the street code body will change. Therefore, in this embodiment, the distance between a first reference point on the cable and a second reference point on the street code body can be determined based on the image when the cable is first fixed to the street code body, and the distance is used as the reference distance. For ease of identification, the user can mark the first reference point and the second reference point on the cable and the street code body respectively in advance. After obtaining the reference distance, the data processing module can compare the first distance determined based on the first reference point and the second reference point with the reference distance, and determine the degree of looseness of the cable based on the comparison result. It is understandable that when the distance difference between the first distance and the reference distance is larger, the cable is more seriously loose and the degree of looseness is higher. In this embodiment, a mapping rule between different distance differences and the degree of looseness can be pre-set, and the data processing module can determine the corresponding degree of looseness according to the mapping rule.

[0055] Accordingly, the fall-off detection method provided by the embodiment of the present invention further includes:

[0056] According to the first image, a first distance of the cable fixed on the street code body relative to the street code body is determined; the first distance is compared with a reference distance, and the looseness of the cable is determined according to the comparison result. The reference distance is determined by taking an image of the cable when it is first fixed to the street code body.

[0057] On the basis of the above embodiment, the data processing module is specifically used to determine the corrosion area and the cracking area according to the first image; determine the corrosion coefficient according to the corrosion area, and determine the cracking coefficient according to the cracking area.

[0058] In one embodiment, when determining the corrosion coefficient and the cracking coefficient, the data processing module needs to identify the corrosion area and the cracking area of ​​the street code body in the first image, wherein the corrosion area is the area where the street code body is corroded, and the cracking area is the area where the street code body is cracked. The specific method of identifying the corrosion area and the cracking area in the first image can be based on the existing technology, which will not be described in detail in this embodiment. After determining the corrosion area and the cracking area, the data processing module can further determine the corrosion coefficient according to the corrosion area, and determine the cracking coefficient according to the cracking area. Exemplarily, the data processing module can determine the corrosion coefficient according to the area of ​​the corrosion area, and determine the cracking coefficient according to the area of ​​the cracking area.

[0059] Accordingly, the fall-off detection method provided by the embodiment of the present invention further includes:

[0060] The corrosion area and the cracking area are determined according to the first image; the corrosion coefficient is determined according to the corrosion area, and the cracking coefficient is determined according to the cracking area.

[0061] Based on the above embodiment, the data processing module is specifically used to determine the corrosion area of ​​the corrosion area, determine the first proportion of the corrosion area to the surface area of ​​the street code body; extract the corrosion color of the corrosion area, and determine the corrosion severity coefficient according to the corrosion color; determine the corrosion coefficient according to the corrosion severity coefficient and the first proportion.

[0062] In one embodiment, when determining the corrosion coefficient, the data processing module first needs to determine the corrosion area of ​​the corrosion region, and further determine the first proportion of the corrosion area to the surface area of ​​the street code body, wherein the surface area of ​​the street code body can be measured in advance by the user and entered into the data processing module, and the first proportion can be obtained by dividing the corrosion area of ​​the street code body by the surface area of ​​the street code body. In addition, it can be understood that the length of the corrosion time will also affect the degree of corrosion of the street code body. Generally speaking, as the corrosion time increases, the severity of the corrosion of the street code body will increase, and the number and type of corrosion products may increase, thereby causing a change in the corrosion color. For example, during a long period of corrosion, light-colored corrosion spots may first appear on the metal surface, and then gradually expand into a dark-colored corrosion area, that is, the corrosion color reflects the corrosion time of the street code body to a certain extent. Therefore, in this embodiment, the data processing module also needs to extract the corrosion color of the corrosion area and determine the corrosion severity coefficient based on the corrosion color. Specifically, the user can pre-test the change of the color of the corrosion area over time after the surface of the street code body is corroded, record the change of color and the severity of corrosion, and determine the corresponding corrosion severity coefficient based on the severity of corrosion. After extracting the corrosion color from the first image, the subsequent data processing module can match the corresponding corrosion severity coefficient according to the corrosion color. In one embodiment, the value of the corrosion severity coefficient is between [0, 1]. Finally, the data processing module determines the corrosion coefficient according to the corrosion severity coefficient and the first proportion.

[0063] Accordingly, the fall-off detection method provided by the embodiment of the present invention further includes:

[0064] Determine the corrosion area of ​​the corrosion region, determine the first proportion of the corrosion area to the surface area of ​​the street code body; extract the corrosion color of the corrosion region, and determine the corrosion severity coefficient according to the corrosion color; determine the corrosion coefficient according to the corrosion severity coefficient and the first proportion.

[0065] Based on the above embodiment, the data processing module is specifically used to determine the first corrosion influence factor corresponding to the corrosion area; determine the second corrosion influence factor corresponding to the corrosion color, and determine the corrosion coefficient according to the corrosion severity coefficient, the first proportion, the first corrosion influence factor and the second corrosion influence factor.

[0066] Specifically, when the data processing module determines the corrosion coefficient according to the corrosion severity coefficient and the first proportion, it is first necessary to determine the first corrosion influence factor corresponding to the corrosion area, and determine the second corrosion influence factor corresponding to the corrosion color. The first corrosion influence factor and the second corrosion influence factor are used to measure the impact on the severity of corrosion. The larger the value, the higher the impact on the severity of corrosion. Since the corrosion area directly reflects the scope and degree of damage to the surface of the material, and although the corrosion color can provide clues about the corrosion time, it cannot directly determine the severity of corrosion, the corrosion area has a greater impact on the severity of corrosion. Based on this, in this embodiment, a larger value can be assigned to the first corrosion influence factor, and the value of the second corrosion factor is smaller than the first corrosion influence factor. For example, the first corrosion factor can be 0.7, and the second corrosion factor is 0.3. After determining the first corrosion influence factor and the second corrosion influence factor, the data processing module can perform weighted summation on the first proportion and the corrosion severity coefficient according to the first corrosion influence factor and the second corrosion factor to obtain the corrosion coefficient.

[0067] Accordingly, the fall-off detection method provided by the embodiment of the present invention further includes:

[0068] Determine a first corrosion influence factor corresponding to the corrosion area; determine a second corrosion influence factor corresponding to the corrosion color, and determine the corrosion coefficient based on the corrosion severity coefficient, the first proportion, the first corrosion influence factor and the second corrosion influence factor.

[0069] Based on the above embodiment, the data processing module is specifically used to determine the first weight corresponding to the corrosion coefficient and the second weight corresponding to the cracking coefficient, respectively, and perform weighted summation of the corrosion coefficient and the cracking coefficient according to the first weight and the second weight to determine the first detachment coefficient.

[0070] In this embodiment, since the corrosion and cracking of the street code body will affect the structural stability of the street code body, making the street code body at risk of falling off, the data processing module in this embodiment first needs to determine the first weight and the second weight corresponding to the corrosion coefficient and the cracking coefficient respectively. The first weight and the second weight need to be manually determined in advance. Considering that when the street code body cracks, the stability of the street code body is more affected, and the probability of the street code body falling off is higher, a higher value needs to be assigned to the second weight in this embodiment. After determining the first weight and the second weight, the data processing module further performs weighted summation on the corrosion coefficient and the cracking coefficient according to the first weight and the second weight to obtain the first falling coefficient.

[0071] Accordingly, the fall-off detection method provided by the embodiment of the present invention further includes:

[0072] A first weight corresponding to the corrosion coefficient and a second weight corresponding to the cracking coefficient are determined respectively, and the corrosion coefficient and the cracking coefficient are weightedly summed according to the first weight and the second weight to determine a first shedding coefficient.

[0073] Based on the above embodiment, the data processing module is specifically used to sum the first shedding coefficient and the second shedding coefficient to obtain the target shedding coefficient; determine the difference between the target shedding coefficient and the standard shedding coefficient, determine the shedding risk level according to the difference, and the standard shedding coefficient is set in advance.

[0074] After determining the first shedding coefficient and the second shedding coefficient, the data processing module needs to sum the first shedding coefficient and the second shedding coefficient to obtain the target shedding coefficient. After determining the target shedding coefficient, the difference between the target shedding coefficient and the standard shedding coefficient is further determined, wherein the standard shedding coefficient is used to characterize the coefficient when the street code body does not have the risk of shedding. The standard shedding coefficient requires the user to determine it in advance based on the corrosion and cracking conditions when the street code body does not have the risk of shedding. Finally, the data processing module can determine the shedding risk level based on the difference. It can be understood that the larger the difference, the higher the shedding risk level. In one embodiment, the user can pre-set the difference range corresponding to different shedding risk levels. After obtaining the difference, the data processing module can determine the corresponding shedding risk level based on the difference range to which the difference belongs. In one embodiment, the specific principle for determining the shedding risk level is as follows. Figure 3 After determining the fall-off risk level, the data processing module further generates maintenance information according to the fall-off risk level, and sends the maintenance information to the user terminal through the communication module.

[0075] Accordingly, the fall-off detection method provided by the embodiment of the present invention further includes:

[0076] The first shedding coefficient and the second shedding coefficient are summed to obtain a target shedding coefficient; the difference between the target shedding coefficient and the standard shedding coefficient is determined, and the shedding risk level is determined according to the difference. The standard shedding coefficient is set in advance.

[0077] As described above, the embodiment of the present invention provides a distribution line insulation street code with a fall-off detection function, including a data processing module, an image acquisition module and a communication module arranged on the street code body. After the image acquisition module captures the first image in the direction of the street code body, the data processing module determines the looseness of the cable, the corrosion coefficient and the cracking coefficient of the street code body according to the first image; then further determines the first fall-off coefficient according to the corrosion coefficient and the cracking coefficient, and determines the second fall-off coefficient according to the looseness. Finally, the fall-off risk level is determined according to the first fall-off coefficient and the second fall-off coefficient, and after generating maintenance information according to the fall-off risk level, the maintenance information is sent to the user terminal, so that the maintenance personnel can know the fall-off risk level of the street code by checking the maintenance information of the user terminal. In the embodiment of the present invention, the street code can automatically detect its own fall-off risk level periodically and inform the maintenance personnel by sending maintenance information, without the need for the staff to go to the site to check the street code one by one, which improves the maintenance efficiency of the street code while saving a lot of manpower and time costs. In addition, in the process of determining the falling risk level, the embodiment of the present invention takes into account the influence of the corrosion and cracking conditions of the street code body on the stability of the street code body, thereby improving the accuracy of determining the falling risk level.

[0078] like Figure 4 As shown, Figure 4 The present invention provides a schematic diagram of the structure of a fall-off detection device according to an embodiment of the present invention. The fall-off detection device according to an embodiment of the present invention is applicable to the above-mentioned distribution line insulation code with a fall-off detection function. Figure 4 The fall-off detection device shown comprises:

[0079] An image acquisition unit 301 is used to periodically acquire a first image of each street code body captured by an image acquisition module;

[0080] The street code state determination unit 302 is used to determine the looseness of the cable fixed on the street code body, the corrosion coefficient and the cracking coefficient of the street code body according to the first image;

[0081] A first coefficient determination unit 303, used to determine a first shedding coefficient according to the corrosion coefficient and the cracking coefficient;

[0082] A second coefficient determination unit 304 is used to determine a second shedding coefficient according to the degree of looseness;

[0083] The emergency level determination unit 305 determines the shedding risk level according to the first shedding coefficient and the second shedding coefficient;

[0084] The information sending unit 306 is used to generate maintenance information according to the fall-off risk level, and send the maintenance information to the user terminal through the communication module.

[0085] Among them, the street code state determination unit 302 is specifically used to determine a first distance of the cable fixed on the street code body relative to the street code body according to the first image; compare the first distance with the reference distance, and determine the looseness of the cable according to the comparison result. The reference distance is determined by taking an image of the cable when it is first fixed to the street code body.

[0086] The street code state determination unit 302 is specifically used to determine the corrosion area and the cracking area according to the first image; determine the corrosion coefficient according to the corrosion area, and determine the cracking coefficient according to the cracking area.

[0087] Among them, the street code state determination unit 302 is specifically used to determine the corrosion area of ​​the corrosion area, determine the first proportion of the corrosion area to the surface area of ​​the street code body; extract the corrosion color of the corrosion area, and determine the corrosion severity coefficient according to the corrosion color; determine the corrosion coefficient according to the corrosion severity coefficient and the first proportion.

[0088] Among them, the street code status determination unit 302 is specifically used to determine the first corrosion impact factor corresponding to the corrosion area; determine the second corrosion impact factor corresponding to the corrosion color, and determine the corrosion coefficient according to the corrosion severity coefficient, the first proportion, the first corrosion impact factor and the second corrosion impact factor.

[0089] The first coefficient determination unit 303 is specifically used to determine the first weight corresponding to the corrosion coefficient and the second weight corresponding to the cracking coefficient, respectively, and perform weighted summation of the corrosion coefficient and the cracking coefficient according to the first weight and the second weight to determine the first shedding coefficient.

[0090] The emergency level determination unit 305 is specifically used to sum the first shedding coefficient and the second shedding coefficient to obtain a target shedding coefficient; determine the difference between the target shedding coefficient and the standard shedding coefficient, and determine the shedding risk level according to the difference. The standard shedding coefficient is set in advance.

[0091] The shedding detection device provided in the embodiment of the invention is included in the distribution line insulation street code with shedding detection function, and can be used to execute the cross-cloud platform resource scheduling method provided in the above embodiment, and has corresponding functions and beneficial effects.

[0092] It is worth noting that in the embodiment of the above-mentioned detachment detection device, the various units and modules included are only divided according to functional logic, but are not limited to the above-mentioned division, as long as the corresponding functions can be achieved; in addition, the specific names of the functional units are only for the convenience of distinguishing each other, and are not used to limit the scope of protection of the present invention.

[0093] The embodiment of the present invention further provides a storage medium including computer executable instructions. When the computer executable instructions are executed by a computer processor, they are used to execute a fall-off detection method. The method is applicable to the above-mentioned distribution line insulation code with fall-off detection function. The method includes:

[0094] Periodically acquiring a first image in the direction of the street code body taken by the image acquisition module;

[0095] According to the first image, determining the looseness of the cable fixed on the street code body, the corrosion coefficient and the cracking coefficient of the street code body;

[0096] Determine the first shedding coefficient according to the corrosion coefficient and the cracking coefficient;

[0097] According to the degree of looseness, determine the second shedding coefficient;

[0098] Determine the shedding risk level according to the first shedding coefficient and the second shedding coefficient;

[0099] The maintenance information is generated according to the risk level of the falling off, and is sent to the user terminal through the communication module.

[0100] Note that the above are only preferred embodiments of the present invention and the technical principles used. Those skilled in the art will understand that the embodiments of the present invention are not limited to the specific embodiments herein, and that various obvious changes, readjustments and substitutions can be made by those skilled in the art without departing from the protection scope of the embodiments of the present invention. Therefore, although the embodiments of the present invention are described in more detail through the above embodiments, the embodiments of the present invention are not limited to the above embodiments, and may include more other equivalent embodiments without departing from the concept of the embodiments of the present invention, and the scope of the embodiments of the present invention is determined by the scope of the appended claims.

Claims

1. A distribution line insulation code with a fall-off detection function, characterized in that: It includes a data processing module, an image acquisition module and a communication module which are arranged on the street code body, and the data processing module is connected with the image acquisition module and the communication module; The image acquisition module is used to periodically capture a first image in the direction of the street code body, and transmit the first image to the data processing module; The data processing module is used to determine the looseness of the cable fixed on the street code body, the corrosion coefficient and the cracking coefficient of the street code body according to the first image; determine the first shedding coefficient according to the corrosion coefficient and the cracking coefficient, and determine the second shedding coefficient according to the looseness; determine the shedding risk level according to the first shedding coefficient and the second shedding coefficient; Generate maintenance information according to the fall-off risk level, and send the maintenance information to the communication module; The communication module is used to send the maintenance information to a user terminal.

2. The distribution line insulation code with a fall-off detection function according to claim 1 is characterized in that: The data processing module is specifically used to determine a first distance of a cable fixed on a street code body relative to the street code body based on the first image; compare the first distance with a reference distance, and determine the degree of looseness of the cable based on the comparison result, wherein the reference distance is determined by taking an image of the cable when it is first fixed to the street code body.

3. The distribution line insulation code with a fall-off detection function according to claim 1, characterized in that: The data processing module is specifically used to determine a corrosion area and a cracking area according to the first image; determine a corrosion coefficient according to the corrosion area, and determine a cracking coefficient according to the cracking area.

4. The distribution line insulation code with a fall-off detection function according to claim 3, characterized in that: The data processing module is specifically used to determine the corrosion area of ​​the corrosion region, determine the first proportion of the corrosion area to the surface area of ​​the street code body; extract the corrosion color of the corrosion region, determine the corrosion severity coefficient according to the corrosion color; determine the corrosion coefficient according to the corrosion severity coefficient and the first proportion.

5. The distribution line insulation code with a fall-off detection function according to claim 4, characterized in that: The data processing module is specifically used to determine a first corrosion influence factor corresponding to the corrosion area; determine a second corrosion influence factor corresponding to the corrosion color, and determine a corrosion coefficient based on the corrosion severity coefficient, the first proportion, the first corrosion influence factor and the second corrosion influence factor.

6. The distribution line insulation code with a fall-off detection function according to claim 1, characterized in that: The data processing module is specifically used to determine a first weight corresponding to the corrosion coefficient and a second weight corresponding to the cracking coefficient, respectively, and perform weighted summation of the corrosion coefficient and the cracking coefficient according to the first weight and the second weight to determine a first shedding coefficient.

7. The distribution line insulation code with a fall-off detection function according to claim 1, characterized in that: The data processing module is specifically used to sum the first shedding coefficient and the second shedding coefficient to obtain a target shedding coefficient; determine the difference between the target shedding coefficient and the standard shedding coefficient, and determine the shedding risk level according to the difference, and the standard shedding coefficient is set in advance.

8. A fall-off detection method, characterized in that: The method is applicable to the distribution line insulation code with a fall-off detection function as claimed in any one of claims 1 to 7, and the method comprises: Periodically acquiring a first image in the direction of the street code body taken by the image acquisition module; Determine, based on the first image, the looseness of the cable fixed on the street code body, the corrosion coefficient and the cracking coefficient of the street code body; Determining a first shedding coefficient according to the corrosion coefficient and the cracking coefficient; According to the looseness degree, determining a second shedding coefficient; Determining a falling risk level according to the first falling coefficient and the second falling coefficient; Maintenance information is generated according to the fall-off risk level, and the maintenance information is sent to the user terminal through a communication module.

9. A fall-off detection device, characterized in that: The fall-off detection device is applicable to the distribution line insulation code with fall-off detection function as claimed in any one of claims 1 to 7, and the fall-off detection device comprises: An image acquisition unit, used for periodically acquiring a first image of each street code body photographed by the image acquisition module; A street code state determination unit, used to determine the looseness of the cable fixed on the street code body, the corrosion coefficient and the cracking coefficient of the street code body according to the first image; A first coefficient determination unit, used for determining a first shedding coefficient according to the corrosion coefficient and the cracking coefficient; A second coefficient determination unit, used for determining a second shedding coefficient according to the looseness degree; An emergency level determination unit, which determines a fall risk level according to the first fall coefficient and the second fall coefficient; The information sending unit is used to generate maintenance information according to the falling risk level, and send the maintenance information to the user terminal through the communication module.

10. A storage medium storing computer executable instructions, characterized in that: The computer executable instructions are used to perform a fall-off detection method as claimed in claim 8 when executed by a computer processor.

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