Method and system for analyzing and sniffing potential safety hazards of heat insulation type fire-resistant cable

Abstract

The invention relates to the technical field of cable management, in particular to a thermal insulation type fire-resistant cable potential safety hazard analysis sniffing method and system.The method comprises the steps that in the cable manufacturing stage, a memory metal wire is embedded in a protection sleeve on the outermost layer of a cable; constructing a cable distribution model according to the cable distribution information; real coordinates are configured for the cable distribution model, after the real coordinates are configured, the cable distribution model is amplified, and a hidden danger sniffing path is planned by applying the amplified cable distribution model; a cable surface wide image is acquired based on unmanned aerial vehicle aerial photographing equipment, and an acquisition period is synchronously set and applied; according to the invention, the memory metal wire is embedded into the outermost protection sleeve of the cable, the operation heating condition of the cable is represented, and the unmanned aerial vehicle aerial photography equipment is further matched to collect the cable surface image, so that the position of the cable surface where potential safety hazards easily exist is analyzed based on continuous cable surface image collection; and reference is provided for cable management users.

Description

Technical Field

[0001] The present invention relates to the technical field of cable management, and particularly to a method and system for analyzing and sniffing potential safety hazards of heat-insulating fire-resistant cables. Background Art

[0002] Heat-insulating fire-resistant cables play a crucial role in many fields. It has a multi-layer structure from the inside out. The conductor is covered with high-temperature resistant insulating material, then equipped with a special heat-insulating layer, and the outermost layer is a protective sleeve. This kind of cable can maintain normal power transmission in high-temperature environments. For example, in a fire scenario, it can effectively ensure power supply and the stable operation of important equipment and systems.

[0003] The invention patent application with the application number 202310964167.9 discloses a cable line aging analysis system, including a processor, a wind sensor, a vibration sensor, a temperature-measuring optical fiber, and an unmanned inspection device; the wind sensors are arranged at intervals along the current cable line for collecting wind data of each line segment of the current cable line; the vibration sensors are arranged corresponding to the wind sensors for collecting vibration data of each line segment of the current cable line; the temperature-measuring optical fiber is arranged inside the current cable line for collecting temperature data of each line segment of the current cable line through optical fiber signals; the unmanned inspection device is used to inspect along the current cable line, collect line images of each line segment of the current cable line, and determine the number of images in each line segment with a set image state based on the line images. This application aims to solve the problems that slicing analysis of cable line aging is not suitable for cable lines that have been laid and are normally in power transmission operation, and the method of manual visual inspection has relatively low accuracy and cannot accurately measure the aging of the line and perform line maintenance in a timely manner.

[0004] For heat-insulating fire-resistant cables passing through jungles, during their daily power transmission process, due to their own operating heat generation and the influence of environmental light, each section of the cable often shows varying degrees of aging, thus threatening the safe operation of the cable and generating potential hazards. However, currently, the cable inspection work is often carried out by formulating inspection plans to regularly inspect the cables. This method has poor pertinence and efficiency, and it is impossible to determine the cable sections prone to aging in the cable network.

[0005] Therefore, we propose a method and system for analyzing and sniffing potential safety hazards of heat-insulating fire-resistant cables. Summary of the Invention

[0006] Aiming at the above-mentioned shortcomings of the prior art, the present invention provides a method and system for analyzing and sniffing potential safety hazards of heat-insulating fire-resistant cables, solving the technical problems raised in the above background art.

[0007] To achieve the above object, the present invention is realized by the following technical solutions:

[0008] In a first aspect, a heat-insulating fire-resistant cable safety hazard analysis and sniffing system includes:

[0009] During the cable manufacturing stage, shape memory alloy wires are embedded in the outermost protective sleeve of the cable. The shape memory alloy wires undergo telescopic deformation based on temperature changes. The shape memory alloy wires are arranged in an equidistant circular pattern relative to the surface of the outermost protective sleeve of the cable, and holes for the telescopic deformation of the shape memory alloy wires are adaptively provided on the surface of the outermost protective sleeve of the cable;

[0010] During the selection stage of the shape memory alloy wires, the selected shape memory alloy wires are determined based on the normal operating temperature range of the cable, so that the shape memory alloy wires undergo stretching deformation when the temperature is above the highest temperature defined by the normal operating temperature range of the cable, and undergo contraction deformation when the temperature is within the normal operating temperature range of the cable;

[0011] Among them, the color of the shape memory alloy wire is different from the color of the outermost protective sleeve of the cable, and the diameter of the shape memory alloy wire is 0.2 - 0.5 mm;

[0012] A modeling module for obtaining cable distribution information and establishing a cable distribution model based on the cable distribution information; a planning module for obtaining the cable distribution model established in the modeling module and planning a hazard sniffing path based on the cable distribution model; a collection module for receiving the hazard sniffing path planned by the planning module, flying based on the hazard sniffing path by means of an unmanned aerial vehicle aerial photography device, and collecting wide-width images of the cable surface during flight; a management module for configuring an operation cycle for the collection module; an analysis module for traversing the wide-width images of the cable surface collected in the collection module and analyzing whether there are hazards in the cable based on the wide-width images of the cable surface; a sniffing module for obtaining the analysis result of whether there are hazards in the cable in the analysis module and sniffing the cables with hazards based on the analysis result.

[0013] Furthermore, a sub-module is connected to the lower level of the modeling module, including an upload unit and a construction unit;

[0014] The upload unit is used to upload cable distribution information and structural parameters, and the construction unit is used to obtain the cable distribution information uploaded by the upload unit and construct a cable distribution topology based on the cable distribution information;

[0015] Among them, the cable distribution information and the position coordinates of each cable node uploaded during the operation stage of the uploading unit, and the structural parameter, i.e., the cable diameter, are used. When the constructing unit constructs the cable distribution topology, it connects based on the position coordinates of the cable nodes to construct the cable distribution topology. After the cable distribution topology is constructed, it is synchronously forwarded to the modeling module. The modeling module synchronously obtains the cable structural parameters, uses the cable distribution topology as the center line, and constructs a cable distribution model in combination with the cable structural parameters. After the cable distribution model is constructed in the modeling module, it synchronously selects any point on the cable distribution model and configures the real coordinates. Based on the configured real coordinates, the real coordinates of all positions on the cable distribution model are identified.

[0016] Furthermore, during the operation stage of the planning module, after obtaining the cable distribution model, it magnifies the cable distribution model according to a preset ratio. On the surface of each cable model segment in the magnified cable distribution model, a spiral line is drawn based on a preset pitch to serve as the cable hidden danger sniffing path.

[0017] Among them, the position coordinates of each point on the cable hidden danger sniffing path are all real coordinates. When drawing the spiral line on the surface of each cable model segment in the magnified cable distribution model, the pitch of the spiral line is set to the height of the wide-width image of the cable surface collected during the operation of the collection module.

[0018] Furthermore, a storage unit is internally connected to the collection module for storing the wide-width image of the cable surface collected during the operation of the collection module. When storing the wide-width image of the cable surface, the corresponding collection start timestamp and the position coordinates of both ends of the hidden danger sniffing path applied during the collection of the wide-width image of the cable surface are marked synchronously.

[0019] During the flight of the collection module along the hidden danger sniffing path, it performs the collection task based on the camera carried by the UAV aerial photography equipment, and the edge pixels of the wide-width image of the cable surface all come from the cable surface.

[0020] The operation cycle configured for the collection module in the management module is user-defined by the system-side user. The collection module continuously performs the collection operation of the wide-width image of the cable surface based on the operation cycle configured for it in the management module.

[0021] Among them, the system-side user has the permission to control the collection module in the management module to actively perform the collection task of the wide-width image of the cable surface. Each wide-width image of the cable surface collected by the collection module based on the operation cycle is stored in the storage unit using an independent differentiation interval.

[0022] Furthermore, the analysis logic for whether there are hidden dangers in the cable in the analysis module is expressed as:

[0023]

[0024] Where; Q(i) is the risk characterization of hidden dangers of the cable corresponding to the i-th cable model in the cable distribution model; u is the total amount of wide-width images of the cable surface collected historically for the cable corresponding to the i-th cable model; f[·] is a judgment function; DIFF(P v , P0) is the degree of difference between the v-th wide-width image of the cable surface of the cable corresponding to the i-th cable model and the reference image; DIFF0 is the determination value of the degree of difference;

[0025] Among them, the reference image is the wide-width image of the cable surface collected by the acquisition module when the memory metal wire is in the outermost protective sleeve of the cable, which is preset by the system-end user to be equal in size and identical in shape to the cable corresponding to the i-th cable model and in a suspended state. DIFF0 is user-defined by the system section. When DIFF(P v , P0) ≥ DIFF0 holds, f[·] = 1; otherwise, f[·] = 0. The larger Q(i) is, the higher the degree of potential safety hazards of the cable corresponding to the i-th cable model in the cable distribution model; conversely, the lower.

[0026] Furthermore, based on the calculation formula of Q(i), the risk characterization of hidden dangers of the cable corresponding to each cable model in the cable distribution model is calculated, and the calculation results are sorted in descending order. Further, a hidden danger determination threshold is set. When, it is determined that the cable corresponding to Q(i) has hidden dangers. N is the hidden danger determination threshold. When the risk characterizations of the cables corresponding to each cable model in the cable distribution model are all less than N, select the cables corresponding to the largest number of risk characterizations defined by the system-end user in the descending-ordered queue, which are recorded as the cables with hidden dangers;

[0027] Among them, the cables with hidden dangers detected by the sniffing module are the cables with hidden dangers in the analysis results of the analysis module. When the sniffing module outputs the cables with hidden dangers, the position coordinates of the topological endpoints applied in the construction stage of the cable model corresponding to the cable in the cable distribution model are used as the output content.

[0028] Furthermore, the calculation formula of DIFF(P v , P0) is:

[0029]

[0030] Where: n is the number of bins of the histogram; is for the hue value h, taking the histogram statistical value of the image P v at this hue value and the histogram statistical value of the image P0 at the hue value h the smaller value; is for the hue value h, taking the image P vHistogram statistical value at this tone value And the histogram statistical value of image P0 at tone value h The larger value in; Is the Hu moment vector of image P v The j-th element in; The j-th element in the Hu moment vector of image P0 The j-th element in;

[0031] Wherein, Represents the difference in image color distribution, Represents the difference in image structure distribution.

[0032] Furthermore, the lower level of the configuration module is connected with an upload unit and a construction unit through wireless network interaction. The construction module is connected with a planning module through wireless network interaction. The planning module is connected with a collection module through wireless network interaction. The collection module is internally connected with a storage unit through wireless network interaction. The collection module is connected with a management module and an analysis module through wireless network interaction. The analysis module is connected with a sniffing module through wireless network interaction.

[0033] In a second aspect, a method for analyzing and sniffing potential safety hazards of a heat-insulating and fire-resistant cable includes:

[0034] During the cable manufacturing stage, a shape memory alloy wire is embedded in the outermost protective sleeve of the cable; a cable distribution model is constructed according to the cable distribution information; real coordinates are configured for the cable distribution model. After the real coordinates are configured, the cable distribution model is enlarged, and the enlarged cable distribution model is used to plan the potential hazard sniffing path; based on the wide-width image of the cable surface collected by the UAV aerial photography device, the acquisition period is synchronously set and applied; whether there are potential hazards on the cable surface is analyzed according to the wide-width image of the cable surface, and the cable with potential hazards is sniffed.

[0035] Adopting the technical solution provided by the present invention, compared with the known public technology, it has the following

[0036] Beneficial effects:

[0037] The present invention provides a method and system for analyzing and sniffing potential safety hazards of a heat-insulating and fire-resistant cable. During the application process of the system, the method characterizes the heat generation situation of the cable operation by embedding a shape memory alloy wire in the outermost protective sleeve of the cable, and further cooperates with the UAV aerial photography device to collect the cable surface image. Thus, based on the continuous collection of the cable surface image, the positions on the cable surface where potential safety hazards (aging problems) are likely to exist are analyzed, providing a reference for cable management users. When formulating a cable inspection plan, through this solution, the cable inspection and maintenance can be implemented more specifically, ensuring that the cable segments in the cable network that are prone to aging problems can receive more specific inspection and maintenance. BRIEF DESCRIPTION OF THE DRAWINGS

[0038] In order to more clearly illustrate the technical solutions in the embodiments of the present invention or the prior art, the following will briefly introduce the drawings required in the description of the embodiments or the prior art. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0039] Figure 1 It is a schematic structural diagram of a sniffer system for analyzing potential safety hazards of a heat-insulating and fire-resistant cable;

[0040] Figure 2 It is a schematic flow diagram of a method for analyzing potential safety hazards of a heat-insulating and fire-resistant cable;

[0041] Figure 3 It is a schematic diagram of the state where shape memory alloy wires are embedded in the outermost protective sleeve of the cable in the present invention;

[0042] Figure 4 It is a schematic diagram of a wide-width image on the surface of the cable in the present invention. DETAILED DESCRIPTION OF THE EMBODIMENTS

[0043] To make the objectives, technical solutions, and advantages of the embodiments of the present invention clearer, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some, but not all, of the embodiments of the present invention. All other embodiments obtained by those of ordinary skill in the art without creative efforts based on the embodiments of the present invention belong to the scope of protection of the present invention.

[0044] The present invention will be further described below with reference to the embodiments.

[0045] Embodiment 1:

[0046] A sniffer system for analyzing potential safety hazards of a heat-insulating and fire-resistant cable according to this embodiment, as Figure 1 shown, includes:

[0047] During the cable manufacturing stage, shape memory alloy wires are embedded in the outermost protective sleeve of the cable. The shape memory alloy wires undergo telescopic deformation based on temperature changes. The shape memory alloy wires are arranged in an equidistant circular pattern relative to the surface of the outermost protective sleeve of the cable, and holes for the telescopic deformation of the shape memory alloy wires are adaptively formed on the surface of the outermost protective sleeve of the cable;

[0048] During the stage of selecting the shape memory alloy wires, the selected shape memory alloy wires are determined based on the normal operating temperature range of the cable, so that the shape memory alloy wires undergo stretching deformation when the temperature is above the highest temperature defined by the normal operating temperature range of the cable, and undergo contraction deformation when the temperature is within the normal operating temperature range of the cable;

[0049] Among them, the color of the shape memory wire is different from that of the outermost protective sleeve of the cable, and the diameter of the shape memory wire is 0.2 - 0.5 mm;

[0050] A modeling module, configured to obtain cable distribution information and establish a cable distribution model based on the cable distribution information;

[0051] The modeling module is connected to sub - modules at a lower level, including an upload unit and a construction unit;

[0052] The upload unit is used to upload cable distribution information and structural parameters, and the construction unit is used to obtain the cable distribution information uploaded by the upload unit and construct a cable distribution topology based on the cable distribution information;

[0053] Among them, during the operation stage of the upload unit, the cable distribution information and the position coordinates of each cable node of each section are uploaded, and the structural parameter is the cable diameter. When the construction unit constructs the cable distribution topology, it is connected based on the cable node position coordinates to construct the cable distribution topology. After the cable distribution topology is constructed, it is synchronously forwarded to the modeling module. The modeling module synchronously obtains the cable structural parameters, uses the cable distribution topology as the center line, combines the cable structural parameters to construct the cable distribution model. After the cable distribution model is constructed in the modeling module, it synchronously selects any point on the cable distribution model and configures the real - world coordinates. Based on the configured real - world coordinates, the real - world coordinates of all positions on the cable distribution model are identified;

[0054] A planning module, configured to obtain the cable distribution model established in the modeling module and plan a hidden danger sniffing path based on the cable distribution model;

[0055] A collection module, configured to receive the hidden danger sniffing path planned by the planning module during operation, fly based on the drone aerial photography device along the hidden danger sniffing path, and collect wide - width images of the cable surface during the flight;

[0056] During the operation stage of the planning module, after obtaining the cable distribution model, the cable distribution model is enlarged according to a preset ratio. On the surface of each section of the cable model in the enlarged cable distribution model, a spiral line is drawn based on a preset pitch, and the drawn spiral line is used as the cable hidden danger sniffing path;

[0057] Among them, the position coordinates of each point on the cable hidden danger sniffing path are all real - world coordinates. When drawing the spiral line on the surface of each section of the cable model in the enlarged cable distribution model, the pitch of the spiral line is set to the height of the wide - width image of the cable surface collected during the operation of the collection module;

[0058] The acquisition module is internally connected with a storage unit for storing the wide-width images of the cable surface collected by the acquisition module. When storing the wide-width images of the cable surface, the corresponding acquisition start timestamp and the position coordinates of both ends of the hidden danger sniffing path applied during the acquisition of the wide-width images of the cable surface are marked synchronously.

[0059] During the flight of the acquisition module based on the hidden danger sniffing path, the acquisition task is executed by the camera carried by the UAV aerial photography equipment, and the edge pixels of the wide-width images of the cable surface all originate from the cable surface.

[0060] The operation period configured for the acquisition module in the management module is user-defined by the system-side user. Based on the operation period configured for it in the management module, the acquisition module continuously executes the acquisition operation of the wide-width images of the cable surface.

[0061] Among them, the system-side user has the permission to control the acquisition module in the management module to actively execute the acquisition task of the wide-width images of the cable surface. The wide-width images of the cable surface collected by the acquisition module each time based on the operation period are stored in the storage unit using independent differentiation intervals.

[0062] The management module is used to configure the operation period for the acquisition module.

[0063] The analysis module is used to traverse the wide-width images of the cable surface collected in the acquisition module and analyze whether there are hidden dangers in the cable based on the wide-width images of the cable surface.

[0064] The analysis logic for whether there are hidden dangers in the cable in the analysis module is expressed as:

[0065]

[0066] In the formula; Q(i) is the hidden danger risk characterization of the cable corresponding to the i-th cable model in the cable distribution model; u is the total number of wide-width images of the cable surface collected historically for the cable corresponding to the i-th cable model; f[·] is the decision function; DIFF(P v , P0) is the degree of difference between the v-th wide-width image of the cable surface of the cable corresponding to the i-th cable model and the reference image; DIFF0 is the difference degree judgment value.

[0067] Among them, the reference image is the wide-width image of the cable surface collected by the acquisition module when the shape memory alloy wire is in the outermost protective sleeve of the cable under the condition that the system-side user presets the same size and shape as the cable corresponding to the i-th cable model and is in a suspended state. DIFF0 is user-defined by the system-side user. When DIFF(P v , P0) ≥ DIFF0 holds, f[·] = 1, otherwise, f[·] = 0. The larger Q(i) is, the higher the degree of safety hidden danger of the cable corresponding to the i-th cable model in the cable distribution model is, and vice versa, the lower it is.

[0068] Based on the calculation formula of Q(i), the hidden danger risk characterization of the cable corresponding to each cable model in the cable distribution model is calculated, and the calculation results are sorted in descending order. Further, a hidden danger determination threshold is set. When, it is determined that the cable corresponding to Q(i) has a hidden danger, N is the hidden danger determination threshold. When the hidden danger risk characterizations of the cables corresponding to each cable model in the cable distribution model are all less than N, the cables corresponding to the largest user-defined number of hidden danger risk characterizations in the descending-ordered queue are selected and recorded as the cables with hidden dangers.

[0069] Among them, the cables with hidden dangers detected by the sniffer module are the cables with hidden dangers in the analysis results of the analysis module. When the sniffer module outputs the cables with hidden dangers, the position coordinates of the endpoints of the topology applied in the construction stage of the cable model corresponding to the cable in the cable distribution model are used as the output content.

[0070] By the above formula for defining the hidden danger risk characterization of the cable, it provides support for the digital analysis and representation of the cable hidden danger risk, ensuring that the system in this embodiment makes accurate analysis and determination on whether the cable has hidden dangers.

[0071] The calculation formula of DIFF(P v , P0) is:

[0072]

[0073] In the formula: n is the number of bins of the histogram; For the hue value h, it takes the histogram statistical value of the image P v at this hue value and the histogram statistical value of the image P0 at the hue value h as the smaller value; For the hue value h, it takes the histogram statistical value of the image P v at this hue value and the histogram statistical value of the image P0 at the hue value h as the larger value; is the j-th element of the Hu moment vector of the image P v and the j-th element of the Hu moment vector of the image P0 ; Among them,

[0074] where represents the difference in image color distribution, represents the difference in image structure distribution;

[0075] Through the above logical formula, the calculation logic of DIFF(P v , P0) is defined, providing support for the calculation of Q(i).

[0076] A sniffer module, configured to obtain the analysis result of whether there are potential hazards in the cables in the analysis module, and based on the analysis result, sniff the cables with potential hazards;

[0077] The lower level of the configuration module is connected with an upload unit and a construction unit through wireless network interaction. The construction module is connected with a planning module through wireless network interaction. The planning module is connected with a collection module through wireless network interaction. Inside the collection module, there is a storage unit connected through wireless network interaction. The collection module is connected with a management module and an analysis module through wireless network interaction. The analysis module is connected with the sniffer module through wireless network interaction.

[0078] In this embodiment, the modeling module runs to obtain cable distribution information, and based on the cable distribution information, a cable distribution model is established. The upload unit synchronously uploads the cable distribution information and structural parameters. The construction unit obtains in real time the cable distribution information uploaded by the upload unit, and based on the cable distribution information, constructs a cable distribution topology. The planning module runs later to obtain the cable distribution model established by the modeling module, and based on the cable distribution model, plans a potential hazard sniffing path. The collection module further receives the potential hazard sniffing path planned by the planning module, and based on a drone aerial photography device, flies along the potential hazard sniffing path, and during the flight, captures wide-width images of the cable surface. The storage unit synchronously stores the wide-width images of the cable surface captured by the collection module during operation. Then, the management module configures the operation cycle for the collection module. The analysis module traverses the wide-width images of the cable surface captured by the collection module, analyzes whether there are potential hazards in the cables based on the wide-width images of the cable surface, and finally, the sniffer module obtains the analysis result of whether there are potential hazards in the cables in the analysis module, and based on the analysis result, sniffs the cables with potential hazards.

[0079] Through the operation of the system in the above embodiment, it provides a brand-new safety hazard monitoring (for cable aging problems) for the cables deployed in the outdoor jungle, provides data support for cable management end users, effectively determines the cable segments prone to aging in the cable network, and takes this as a reference, enabling cable management end users to perform real-time inspection and management of the cable network more pertinently.

[0080] See Figure 3 As shown, this figure shows the shape of the shape memory alloy wire embedded in the outermost protective sleeve of the cable: The figure shows a section of the protective sleeve. From the perspective of bottom right to top left, the cross-section of the protective sleeve is shown, and the shape memory alloy wire embedded in the protective sleeve is shown;

[0081] It should be noted that the layout parameters of the shape memory alloy wire embedded in the outermost protective sleeve of the cable in this figure are not the layout parameters for actual application, but are only examples;

[0082] See Figure 4As shown, based on the arrows in the figure, the image above the arrow represents the virtual form of the wide-width image of the cable surface during the acquisition process. By performing an unfolding operation, the wide-width image of the cable surface (tiled) indicated below the arrow is obtained. For the convenience of display, the ratio of the un-unfolded wide-width image of the cable surface above to the unfolded wide-width image of the cable surface below is 10:1.

[0083] Embodiment 2:

[0084] At the specific implementation level, on the basis of Embodiment 1, this embodiment refers to Figure 2 to further specifically describe a heat-insulating and fire-resistant cable safety hazard analysis and sniffing system in Embodiment 1:

[0085] A heat-insulating and fire-resistant cable safety hazard analysis and sniffing method includes:

[0086] During the cable manufacturing stage, shape memory alloy wires are embedded in the outermost protective sleeve of the cable;

[0087] Construct a cable distribution model according to the cable distribution information;

[0088] Configure real-world coordinates for the cable distribution model. After the real-world coordinates are configured, magnify the cable distribution model, and apply the magnified cable distribution model to plan the hazard sniffing path;

[0089] Collect the wide-width image of the cable surface based on the UAV aerial photography equipment, and synchronously set and apply the acquisition period;

[0090] Analyze whether there are hazards on the cable surface according to the wide-width image of the cable surface, and sniff the cables with hazards.

[0091] In summary, the above embodiments characterize the heat generation situation of the cable during operation by embedding shape memory alloy wires in the outermost protective sleeve of the cable, and further cooperate with the UAV aerial photography equipment to collect the cable surface images. Thus, based on the continuous collection of cable surface images, analyze the positions on the cable surface that are prone to safety hazards (aging problems), provide a reference for cable management users, and serve cable management users in formulating cable inspection plans. Through this solution, cable inspection and maintenance can be implemented more specifically, ensuring that the cable segments prone to aging problems in the cable network can receive more specific inspection and maintenance.

[0092] The above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions recorded in the foregoing embodiments, or perform equivalent replacements for some of the technical features; and these modifications or replacements will not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. An analysis and sniffing system for potential safety hazards of a heat-insulating fire-resistant cable, characterized in that, Including: During the cable manufacturing stage, shape memory alloy wires are embedded in the outermost protective sleeve of the cable. A modeling module, which is used to obtain cable distribution information and establish a cable distribution model based on the cable distribution information. A planning module, which is used to obtain the cable distribution model established in the modeling module and plan a hidden danger sniffing path based on the cable distribution model. A collection module, which is used to receive the hidden danger sniffing path planned by the planning module, fly according to the hidden danger sniffing path based on a drone aerial photography device, and collect wide-width images of the cable surface during the flight. A management module, which is used to configure an operation cycle for the collection module. An analysis module, which is used to traverse the wide-width images of the cable surface collected in the collection module and analyze whether there are hidden dangers in the cable based on the wide-width images of the cable surface. A sniffing module, which is used to obtain the analysis result of whether there are hidden dangers in the cable in the analysis module and sniff the cable with hidden dangers based on the analysis result.

2. The sniffer system for analyzing potential safety hazards of a heat-insulating fire-resistant cable according to claim 1, characterized in that, The shape memory alloy wires expand and contract based on temperature changes. The shape memory alloy wires are arranged in a ring equidistantly relative to the surface of the outermost protective sleeve of the cable, and holes for the expansion and contraction of the shape memory alloy wires are adaptively provided on the surface of the outermost protective sleeve of the cable. During the selection stage of the shape memory alloy wires, the selected shape memory alloy wires are determined based on the normal operating temperature range of the cable, so that the shape memory alloy wires undergo stretching deformation when the temperature is above the highest temperature defined by the normal operating temperature range of the cable, and undergo contraction deformation when the temperature is within the normal operating temperature range of the cable. Among them, the color of the shape memory alloy wires is different from the color of the outermost protective sleeve of the cable, and the diameter of the shape memory alloy wires is 0.2 - 0.5 mm.

3. The sniffer system for analyzing potential safety hazards of a heat-insulating fire-resistant cable according to claim 1, wherein, The modeling module is subordinate to sub-modules, including an upload unit and a construction unit. The upload unit is used to upload cable distribution information and structural parameters, and the construction unit is used to obtain the cable distribution information uploaded in the upload unit and construct a cable distribution topology based on the cable distribution information. Among them, during the operation stage of the upload unit, the cable distribution information and the position coordinates of each cable node are uploaded, and the structural parameter is the cable diameter. When the construction unit constructs the cable distribution topology, it is connected based on the cable node position coordinates to construct the cable distribution topology. After the cable distribution topology is completed, it is synchronously forwarded to the modeling module. The modeling module synchronously obtains the cable structural parameters, uses the cable distribution topology as the center line, combines the cable structural parameters to construct a cable distribution model. After the cable distribution model is completed in the modeling module, an arbitrary point on the cable distribution model is synchronously selected and real coordinates are configured. Based on the configured real coordinates, the real coordinates of all positions on the cable distribution model are identified.

4. The analysis and sniffing system for potential safety hazards of a heat-insulating fire-resistant cable according to claim 1, wherein During the operation stage of the planning module, after obtaining the cable distribution model, the cable distribution model is enlarged according to a preset ratio, and spiral lines are drawn on the surface of each section of the cable model in the enlarged cable distribution model based on a preset pitch, and the drawn spiral lines are used as the cable hidden danger sniffing path. Among them, the position coordinates of each point on the cable hidden danger sniffing path are all real coordinates. When drawing spiral lines on the surface of each section of the cable model in the enlarged cable distribution model, the pitch of the spiral lines is set to the height of the wide-width images of the cable surface collected by the collection module during operation.

5. The sniffer system for analyzing potential safety hazards of a heat-insulating fire-resistant cable according to claim 1, characterized in that, The acquisition module is internally connected with a storage unit for storing the wide-width images of the cable surface collected during the operation of the acquisition module. When storing the wide-width images of the cable surface, the corresponding acquisition start timestamp and the position coordinates of both ends of the hidden danger sniffing path applied during the acquisition of the wide-width images of the cable surface are marked synchronously; During the flight of the acquisition module based on the hidden danger sniffing path, the acquisition task is executed based on the camera carried by the UAV aerial photography device, and the edge pixels of the wide-width images of the cable surface all come from the cable surface; The operation cycle configured for the acquisition module in the management module is user-defined by the system-side user. Based on the operation cycle configured for it in the management module, the acquisition module continuously executes the acquisition operation of the wide-width images of the cable surface; Among them, the system-side user has the permission to control the acquisition module in the management module to actively execute the acquisition task of the wide-width images of the cable surface. The wide-width images of the cable surface collected by the acquisition module each time based on the operation cycle are stored in the storage unit using independent differentiation intervals.

6. The sniffing system for analyzing potential safety hazards of a heat-insulating fire-resistant cable according to claim 1, characterized in that, The analysis logic for whether there are hidden dangers in the cable in the analysis module is expressed as: In the formula; Q(i) is the hidden danger risk characterization of the cable corresponding to the i-th cable model in the cable distribution model; u is the total number of wide-width images of the cable surface collected historically for the cable corresponding to the i-th cable model; f[·] is the decision function; DIFF(P v , P0) is the degree of difference between the v-th wide-width image of the cable surface corresponding to the i-th cable model and the reference image; DIFF0 is the decision value of the degree of difference; Among them, the reference image is the one preset by the system-side user. When the cable size corresponding to the i-th cable model is equal, in the same form, and in a suspended state, and the shape memory wire is inside the outermost protective sleeve of the cable, based on the wide-width image of the cable surface collected by the acquisition module, DIFF0 is defined by the system-side user. When DIFF(P v , P0) ≥ DIFF0 holds, f[·] = 1; otherwise, f[·] = 0. The larger Q(i) is, the higher the degree of potential safety hazard of the cable corresponding to the i-th cable model in the cable distribution model; conversely, the lower it is.

7. An analysis and sniffing system for potential safety hazards of a heat-insulating fire-resistant cable according to claim 6, characterized in that, Calculate the hidden danger risk characterization of the cable corresponding to each cable model in the cable distribution model based on the calculation formula of Q(i), and sort the calculation results in descending order. Further set the hidden danger judgment threshold. When it is determined that the cable corresponding to Q(i) has a hidden danger, and N is the hidden danger judgment threshold. When the hidden danger risk characterizations of the cables corresponding to each cable model in the cable distribution model are all less than N, select the cables corresponding to the largest number of hidden danger risk characterizations defined by the system end user in the descending order queue, and record them as the cables with hidden dangers. Among them, the cables with hidden dangers detected by the sniffing module are the cables with the analysis result of having hidden dangers in the analysis module. When the sniffing module outputs the cables with hidden dangers, the position coordinates of the topological endpoints applied during the construction stage of the cable model corresponding to the cable in the cable distribution model are used as the output content.

8. The sniffer system for analyzing potential safety hazards of a heat-insulating fire-resistant cable according to claim 6, characterized in that, The DIFF(P v , P0) is calculated as follows: where: n is the number of bins of the histogram; For the hue value h, take the image P v The histogram statistical value at this hue value And the histogram statistical value of the image P0 at the hue value h The smaller value among them; For the hue value h, take the image P v The histogram statistical value at this hue value And the histogram statistical value of the image P0 at the hue value h The larger value among them; Is the j-th element of the Hu moment vector of the image P v Among them, and the j-th element of the Hu moment vector of the image P0 Among them; The j-th element; Among them, represents the difference in image color distribution, represents the difference in image structure distribution.

9. The sniffing system for analyzing potential safety hazards of a heat-insulating fire-resistant cable according to claim 1, characterized in that, The lower level of the configuration module is connected with an upload unit and a construction unit through wireless network interaction. The construction module is connected with a planning module through wireless network interaction. The planning module is connected with an acquisition module through wireless network interaction. The acquisition module is internally connected with a storage unit through wireless network interaction. The acquisition module is connected with a management module and an analysis module through wireless network interaction. The analysis module is connected with a sniffing module through wireless network interaction.

10. A method for analyzing and sniffing potential safety hazards of a heat-insulating fire-resistant cable, which is an implementation method of a system for analyzing and sniffing potential safety hazards of a heat-insulating fire-resistant cable as described in any one of claims 1-9, characterized in that, Including: During the cable manufacturing stage, memory metal wires are embedded in the outermost protective sleeve of the cable; Construct a cable distribution model according to the cable distribution information; Configure real coordinates for the cable distribution model. After the real coordinates are configured, the cable distribution model is enlarged, and the enlarged cable distribution model is used to plan the hidden danger sniffing path; Collect wide-width images of the cable surface based on the UAV aerial photography device, and synchronously set and apply the acquisition cycle; Analyze whether there are hidden dangers on the cable surface according to the wide-width images of the cable surface, and sniff the cables with hidden dangers.

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