Cable intermediate joint construction quality detection device and method

Abstract

The invention relates to the technical field of cable construction, in particular to a cable intermediate joint construction quality detection device and method.The detection device comprises a multi-section light supplementing device, a camera shooting hole is formed in the shell, and an LED light source, a fixing clamp and an inner shell reflecting plate are arranged in the shell; a to-be-detected cable penetrates into the multi-section light supplementing device and is fixed through the fixing clamp; the image acquisition device is used for acquiring images of the to-be-detected cable in the multi-section light supplementing device through the camera shooting hole; and the on-line detection and early warning device comprises an interactive interface and an on-line detection and early warning intelligent processing unit, and obtains the image of the cable to be detected according to the current construction stage to carry out quality detection. Compared with the prior art, the method has the advantages that the images of the construction site are intelligently analyzed through the image processing technology, errors caused by dependence on manual judgment are effectively avoided, and efficient and accurate construction quality monitoring is achieved.

Description

Technical Field

[0001] The present invention relates to the technical field of cable construction, and in particular to an interactive quality detection device and method for a cable intermediate joint construction process based on image processing. Background Art

[0002] Cables are an important part of power and communication systems, playing a key role in power transmission and information transfer. In the power system, cables not only connect power stations and users, but also play a vital role in the urban power grid; in the communication system, cables are responsible for the efficient transmission of data and communication signals. As a key node connecting different cable segments, the construction quality of cable joints directly affects the stability, safety and long-term operational efficiency of the entire cable system.

[0003] At present, the monitoring of cable construction quality mainly relies on manual vision and experience judgment. This traditional method has many defects. First, manual monitoring is highly subjective and easily affected by the operator's skill level and site conditions, resulting in inconsistency and unreliability of monitoring results. Secondly, this method performs poorly in terms of continuity and real-time performance, making it difficult to conduct comprehensive and continuous monitoring of the entire construction process, and it is easy to miss detections in key construction stages, thus affecting the overall construction quality. In addition, manual monitoring is inefficient and has limited data recording and analysis capabilities, which is not conducive to systematic management of construction quality and subsequent quality tracking. Summary of the invention

[0004] The purpose of the present invention is to overcome the defects of the above-mentioned prior art and provide an interactive quality detection device and method for the construction process of a cable intermediate joint based on image processing.

[0005] The purpose of the present invention can be achieved by the following technical solutions:

[0006] As a first aspect of the present invention, a device for detecting the construction quality of a cable intermediate joint is provided, the detection device comprising:

[0007] A multi-stage fill light device, with a cavity inside for providing a suitable lighting environment for imaging, comprises a shell, the shell is provided with a camera shooting hole, and the shell is provided with an LED light source, a fixing fixture and an inner shell reflector; the cable to be detected is inserted into the multi-stage fill light device and fixed by the fixing fixture;

[0008] An image acquisition device, which acquires images of the cables to be detected in the multi-segment fill light device through a camera shooting hole;

[0009] The online detection and early warning device comprises an interactive interface and an online detection and early warning intelligent processing unit, and performs quality detection based on the image of the cable to be detected obtained by the image acquisition device according to the current construction stage.

[0010] As a preferred technical solution, the multi-segment fill light device is evenly divided into multiple separate compartments, and each compartment is separated by the same material as the inner shell reflector.

[0011] As an optimal technical solution, the LED light source is placed inside the outer shell, and the LED light source is a multi-segment LED light strip. Multiple sections of light strips are arranged in each section of the compartment of the multi-segment fill light device. The multiple sections of the light strips are parallel to the axis of the inner shell reflector and are symmetrically arranged at equal intervals with the axis as the center.

[0012] As a preferred technical solution, there are multiple camera shooting holes, and each section of the multi-segment fill light device is provided with multiple camera shooting holes, which are symmetrically arranged at equal intervals with the axis of the multi-segment fill light device as the center.

[0013] As a preferred technical solution, the online detection and early warning intelligent processing unit includes:

[0014] The image acquisition module obtains the image data of the current stage, and extracts the features corresponding to the current stage to obtain the feature information required for monitoring the current stage;

[0015] The monitoring module analyzes the feature information extracted by the image acquisition module and detects whether these features meet the preset quality standards; when the feature information meets the preset conditions, it is input into the quality monitoring model to generate the quality monitoring results of the current operation stage;

[0016] The test result confirmation module is used by on-site construction personnel to confirm the quality monitoring results corresponding to the construction stage;

[0017] The early warning information generation module generates corresponding early warning information according to the monitoring results, and issues instructions to the user to re-construct the current stage.

[0018] As a preferred technical solution, the monitoring module includes:

[0019] The stage confirmation unit is used to identify and confirm the specific stage of the current cable joint construction, and determine whether it is the outer sheath roughening degree monitoring stage or the waterproof tape uniformity detection stage;

[0020] The roughening degree feature extraction unit extracts roughening degree related features from the input image during the roughening degree monitoring stage of the outer jacket opening, including roughening thickness and uniformity;

[0021] A roughening degree monitoring model acquisition unit is used to evaluate the acquired roughening degree related characteristic data based on a pre-defined roughening quality standard to determine whether the construction quality reaches the preset standard;

[0022] The roughening degree result acquisition unit is responsible for collecting the output results of the roughening degree monitoring model and presenting these results to the on-site staff;

[0023] A uniformity feature extraction unit, which extracts key uniformity features, including thickness and coverage, from the input waterproof tape image during the uniformity detection stage of the waterproof tape wrapping;

[0024] Uniformity monitoring model, used to evaluate the uniformity of waterproof tape, judging whether the waterproof effect meets the construction requirements based on the integrity and consistency of the wrapping; and pointing out uneven construction areas based on the thickness and construction quality of the waterproof tape;

[0025] The uniformity result acquisition unit is responsible for obtaining the results from the uniformity monitoring model and submitting them to the on-site staff.

[0026] As a preferred technical solution, when the current construction phase is not the target production phase, the monitoring module:

[0027] Obtain qualification information of construction personnel, including but not limited to their certification level, work experience, and historical construction quality records;

[0028] Based on the collected construction personnel qualification information, the confidence score is calculated according to the personnel's qualification level and their past construction quality performance; the construction structure feature set and the assessed confidence are input into the construction quality monitoring model together.

[0029] As a second aspect of the present invention, a method for detecting the construction quality of a cable intermediate joint is provided. The method is based on the above-mentioned device for detecting the construction quality of a cable intermediate joint, and the steps include:

[0030] Based on the current construction stage of the target cable, image data of the required quality inspection parts of the cable at this production stage are obtained;

[0031] For each production stage, the corresponding image data set is obtained, and feature extraction is performed on the image data set of the current production stage to obtain a set of structural features corresponding to the current production stage;

[0032] Inputting the production structure feature set corresponding to the current production stage into the quality monitoring model of each stage of the preset production to obtain the production quality monitoring result of the current production stage;

[0033] Based on the production quality monitoring results of the current production stage, determine whether it meets the quality requirements of the production step, and determine whether to re-produce the step or allow the next production process to proceed.

[0034] As a preferred technical solution, the construction stages of the method detection include: roughening the outer sheath opening, stripping the cable, and wrapping the waterproof tape;

[0035] The preset cable construction quality monitoring model includes a construction quality monitoring model corresponding to each construction stage.

[0036] As a preferred technical solution, when the current construction stage is not the target construction stage, the method obtains the construction qualification information of the production personnel corresponding to the cable joint;

[0037] Determine the confidence level of the cable structure characteristics corresponding to the current construction stage based on the construction qualification information;

[0038] The image feature set and the obtained confidence level of the construction results corresponding to the current construction stage are input into the quality monitoring model to obtain the construction quality monitoring results corresponding to the current construction stage.

[0039] Compared with the prior art, the present invention has the following beneficial effects:

[0040] 1) The present invention uses image processing technology to intelligently analyze images of the construction site, extract different structural features for different production stages, and obtain the construction quality monitoring results corresponding to the current stage through the preset construction quality monitoring model. It effectively avoids the errors caused by relying on manual judgment and realizes efficient and accurate construction quality monitoring. This system ensures that the construction quality of cable joints strictly meets the standard requirements.

[0041] 2) When the current construction stage is not the target construction stage and there is no corresponding production result standard, the present invention uses the construction personnel's professional qualification information as the confidence of the construction result image taken at the current stage. By taking personnel qualification as a variable in the monitoring process, the monitoring module can adapt to various construction scenarios more flexibly, ensuring that even in non-target construction stages, the construction quality can be effectively evaluated and guaranteed. It also helps to identify construction personnel who need additional training or guidance, thereby continuously improving the professional level and construction quality of the overall construction team. BRIEF DESCRIPTION OF THE DRAWINGS

[0042] Figure 1 is a schematic diagram of the overall structure of a detection device provided by an embodiment of the present invention;

[0043] Figure 2 is a schematic diagram of a cross-sectional structure of a multi-segment fill light device provided by an embodiment of the present invention;

[0044] Figure 3 This is the light reflection principle of the multi-stage fill light device provided by the embodiment of the present invention when filling light;

[0045] Figure 4 It is a structural diagram of an online detection and early warning device provided by an embodiment of the present invention;

[0046] Figure 5It is a structural schematic diagram of a feature extraction module of an online detection and early warning device provided by an embodiment of the present invention;

[0047] Figure 6 The present invention provides an embodiment of the present invention to provide an interactive quality detection method for the cable intermediate joint construction process. DETAILED DESCRIPTION

[0048] The present invention is described in detail below in conjunction with the accompanying drawings and specific embodiments. This embodiment is implemented based on the technical solution of the present invention, and provides a detailed implementation method and specific operation process, but the protection scope of the present invention is not limited to the following embodiments.

[0049] Example 1

[0050] As a first aspect of the present invention, the present invention proposes an interactive quality detection device for the construction process of a cable intermediate joint based on image processing. This device includes a fill light device that can cope with problems such as the harsh environment and metal reflection in the cable duct. By using image processing technology, the construction process of the cable joint is captured in real time by an on-site camera, and image features are automatically extracted and analyzed and compared with preset standard features. This method can achieve continuous and real-time monitoring of the entire cable construction process, timely discover and correct deviations in construction, and significantly improve the consistency and reliability of construction quality.

[0051] like Figure 1 In the invention, an interactive quality detection device for the construction process of a cable intermediate joint based on image processing includes a multi-segment fill light device, an image acquisition device, and an online detection and early warning device;

[0052] The multi-segment fill light device comprises a multi-segment fill light device 1, an image acquisition device 2, and an online detection and early warning device 3.

[0053] The multi-stage fill light device 1 comprises a housing 101, an LED light source 102, a camera shooting hole 103, a fixing fixture 104, and an inner housing reflector 105;

[0054] The image acquisition device 2 is a CCD camera;

[0055] The online detection and early warning device 3 comprises an interactive interface 301 and an online detection and early warning intelligent processing unit.

[0056] The multi-segment fill light device 1 provides a suitable lighting environment for imaging. The image acquisition device acquires the image of the cable segment to be detected, and the online detection and early warning device calculates the acquired image and displays the detection result to the on-site operator. When detection is required, the cable is placed inside the multi-segment fill light device 1 and locked with the fixing fixture 104.

[0057] The internal cross-sectional structure diagram of the multi-stage fill light device 1 is as follows Figure 2 As shown, the LED light source 102 is placed inside the outer shell 101. The LED light source is a 12-segment LED light strip. Each cavity contains two light strips. The light source is parallel to the axis of the inner shell reflector 105 and is 180° apart from each other with the axis as the center. In this embodiment, the multi-segment fill light device 1 is evenly divided into 3 separate compartments. Each compartment is separated by the same material as the inner shell reflector 105, so as to take separate photos of the cables separated in each compartment, which is more conducive to providing a suitable shooting environment. There are 6 camera shooting holes 103 in total. Each inner cavity contains 2 shooting holes, which are 180° apart from each other with the subject axis as the center. The principle diagram of light reflection when the multi-segment fill light device 1 is used for fill light is as shown in the figure. Figure 3 shown.

[0058] Figure 4 A structural schematic diagram of the online detection and early warning intelligent processing unit provided in an embodiment of the present invention is shown. For the convenience of explanation, only the parts related to the embodiment of the present invention are shown. The online detection and early warning intelligent processing unit 3 includes: an image acquisition module 31, a monitoring module 32, a detection result confirmation module 33, and an early warning information generation module 34.

[0059] The image acquisition module 31 is used to connect to the image acquisition device, obtain the picture of the current cable taken by the CCD camera, and perform feature extraction on the image data of the current stage to obtain feature information for quality inspection at the current operation stage;

[0060] The monitoring module 32 is used to detect whether the feature information obtained by the image acquisition module meets the preset conditions. If the obtained features meet the preset conditions, the feature set corresponding to the current stage is input into the preset production quality monitoring model to obtain the quality monitoring results corresponding to the current operation stage;

[0061] A monitoring result determination module 33 is used to determine the operation target production quality monitoring result according to the quality monitoring result corresponding to the current operation stage;

[0062] The warning information generation module 34 is used to generate corresponding warning information according to the monitoring results, and issue instructions to the user to re-construct the current stage.

[0063] The embodiment of the present invention obtains the production image data of the target cable joint at each production stage based on the construction characteristics corresponding to the construction process of each stage of the target cable joint; then performs feature extraction on the obtained image data, obtains the structural feature set of the current production stage, and obtains the production quality monitoring result corresponding to the current production stage; determines whether it meets the quality requirements of the production step according to the current quality monitoring result, and determines whether to re-produce the step or allow the next production process. Based on the production image data of the target cable joint at each production stage, the production quality of the target cable joint can be further tested according to the corresponding production structure feature set, which is conducive to quickly and accurately monitoring and controlling the production quality of the target cable joint.

[0064] In one possible implementation, see Figure 5 The monitoring module 32 includes: a stage confirmation unit 321, a roughening degree feature extraction unit 322, a roughening degree monitoring model 323, a roughening degree result acquisition unit 324, a uniformity feature extraction unit 325, a uniformity monitoring model 326, and a uniformity result acquisition unit 327.

[0065] The stage confirmation unit 321 is used to identify and confirm the specific stage of the current cable joint construction. It automatically determines whether it is the outer sheath roughening degree monitoring stage or the wrapping waterproof tape uniformity detection stage by analyzing the input construction image data. This process uses advanced image recognition algorithms to ensure the accuracy and timeliness of monitoring;

[0066] The roughening degree feature extraction unit 322 is used to extract a set of features related to the roughening degree from the input image. These features may include the thickness and uniformity of the roughening, etc., which are accurately extracted through a specially designed image analysis model to perform a detailed quality assessment;

[0067] The roughening degree monitoring model acquisition unit 323 is used to evaluate the data obtained from the feature extraction unit based on the pre-defined roughening quality standard. It uses machine learning technology to compare the roughening standard with the actual situation and accurately determine whether the construction quality meets the preset standard.

[0068] The roughening degree result acquisition unit 324 is responsible for collecting the output results of the roughening degree monitoring model and presenting these results to the on-site staff. The monitoring results are displayed through a user-friendly interface to ensure that the construction team can immediately understand the construction status and make adjustments as needed.

[0069] Uniformity feature extraction unit 325, used in the waterproof tape wrapping stage, this unit extracts key uniformity features such as thickness and coverage from the input waterproof tape image. This process also uses image processing technology to ensure that the extracted data has a high degree of accuracy and relevance;

[0070] Uniformity monitoring model 326 is used to evaluate the uniformity of the waterproof tape and determine whether the waterproof effect meets the construction requirements based on the integrity and consistency of the wrapping. By comprehensively analyzing the thickness and construction quality of the waterproof tape, the model can accurately point out any possible uneven construction areas;

[0071] The uniformity result acquisition unit 327 is responsible for acquiring the results from the uniformity monitoring model and delivering them to the on-site staff to ensure that all key quality information can be communicated promptly and accurately, thereby allowing on-site construction members to respond quickly based on real-time data to ensure that the construction quality is always maintained at the highest standards.

[0072] In a possible implementation of the present invention, the monitoring module 32 is not only responsible for directly monitoring the construction quality of the cable joint, but also has the ability to make adaptive adjustments according to the actual situation of the construction site. In particular, when the current construction stage does not meet the expected target construction stage, the module can obtain the qualification information of the personnel who are currently under construction. This includes but is not limited to the certification level, working experience and historical construction quality records of the construction personnel. Based on the collected construction personnel qualification information, the monitoring module 32 will calculate a confidence score, which reflects the trustworthiness of the current construction stage. The level of confidence depends on the qualification level of the personnel and their past construction quality performance. Then, the module will combine the construction structure feature set and the assessed confidence, and input them into the construction quality monitoring model together. This method allows the model to adjust its monitoring algorithm according to the professional ability of the construction personnel, and more accurately predict and evaluate the quality of the current construction stage. This monitoring strategy that integrates personnel qualification considerations significantly improves the accuracy and reliability of construction quality monitoring. By taking personnel qualification as a variable in the monitoring process, the monitoring module can adapt to various construction scenarios more flexibly, ensuring that even in non-target construction stages, the construction quality can be effectively evaluated and guaranteed. In addition, this approach helps identify construction personnel who need additional training or guidance, thereby continuously improving the professional level and construction quality of the overall construction team.

[0073] In one possible implementation, the monitoring module 32 can also be used to determine whether the acquired image meets the quality monitoring conditions. If the feature extraction unit cannot obtain the required image features based on the input image, it is determined that the input image at the current stage does not meet the quality monitoring conditions, and the monitoring result is unqualified.

[0074] In a possible implementation, the test result confirmation module 33 can be used by on-site construction personnel to confirm the quality test results of the current stage and determine whether the test results have obvious errors or program errors. If the current personnel determine that the results are wrong, the on-site images are taken and input again, and feature extraction and monitoring are performed again.

[0075] In a possible implementation, the warning information generation module 34 selects different processing processes according to the results after the on-site personnel confirm the results. If it is qualified, the on-site construction personnel are allowed to carry out the subsequent stage of construction and quality monitoring; if it is unqualified, a warning is issued, the reasons for the unqualified are displayed, and the on-site construction personnel are required to correct the cables at the current stage. After the correction is completed, the image acquisition module 31 process is re-performed, and the quality of the stage is re-tested, and the monitoring is repeated until the quality test results of the current stage are qualified, and the on-site construction personnel are allowed to carry out the next stage of construction.

[0076] The specific operation method is: when the installation of the cable intermediate joint reaches the step that requires quality inspection, the cable intermediate joint part to be inspected is placed in the multi-segment fill light device 1, the LED light source 102 is turned on, and the fixing clamp 104 is tightened; the current construction stage is selected on the interactive interface 301 on the online detection and early warning device 3, and waiting for the shooting command to be issued; each part of the cable is photographed through the camera shooting hole 103 by the image acquisition device; the online detection and early warning device performs quality inspection on the photographed stage according to the preset standard of this stage to determine whether the construction result meets the quality requirements; if the requirements are met, the interactive interface feedbacks that the quality is qualified, if not, an early warning is issued to remind the on-site staff to make rectifications until the image is taken again to meet the preset standard.

[0077] Example 2

[0078] As another embodiment of the present invention, the present invention also discloses an interactive quality detection method for the construction process of a cable intermediate joint based on image processing, referring to Figure 6 , which shows an interactive quality detection method diagram of the cable intermediate joint construction process based on image processing provided by an embodiment of the present invention, which is described in detail as follows:

[0079] In step S1, based on the current construction stage of the target cable, image data of the required quality inspection position of the cable at the production stage is obtained.

[0080] Among them, according to the different stages of cable production to be monitored, the cable construction process can be divided into different production stages, such as roughening the outer sheath mouth, wrapping the waterproof tape and other production stages. According to the current confirmation stage, the monitoring time corresponding to each production stage can be determined.

[0081] After determining the corresponding time of the target cable production stage, feature extraction can be performed according to the target cable production data to obtain the production structure feature set and the number of production structure features corresponding to the current production stage.

[0082] In step S2, for each acquired picture data set corresponding to the production stage, feature extraction is performed on the picture data set of the current production stage to obtain a production structure feature set and a production feature quantity corresponding to the current production stage.

[0083] Among them, for different production stages, the actions to be performed for cable joints are different, and the structural features obtained after production are also different. For example, in the cable stripping stage, the end of the main insulation is "sharpened" until a 45° chamfer is formed. Using semi-conductive tape to restore the semi-conductive layer after the pipe is crimped, restoring the incision can effectively prevent radial water ingress at the intermediate joint. In the waterproof tape wrapping stage, it is necessary to use electrical insulation and waterproof tape with high waterproof sealing properties to wrap the inner and outer sheath positions of the intermediate joint to effectively prevent axial water ingress at the intermediate joint position. At this stage, it is necessary to ensure that the waterproof tape is wrapped evenly. When feature extraction is performed on production images at different stages, features such as the chamfer at the end of the main insulation and the thickness of each area of ​​the waterproof tape can be extracted to produce a set of structural features, and the number of production structural features can be obtained based on whether the corresponding structural features are extracted.

[0084] In particular, for different production stages, the set of extracted structural features may be different, and the number of extracted structural features may also be different.

[0085] In step S3, it is detected whether the number of production structure features meets the preset conditions. If the number of production structure features meets the preset conditions, the production structure feature set corresponding to the current production stage is input into the quality monitoring model of each stage of the preset production, so as to increase the capacity of the feature standard library and obtain the production quality monitoring result corresponding to the current production stage.

[0086] Among them, for a certain production stage of cable construction, if the production is to be completed according to the production quality standard, it is necessary to extract the structural features corresponding to each production result. If the characteristic structure that should be in this stage is not extracted, that is, the production structure features obtained by feature extraction do not meet the preset conditions, it means that the quality monitoring results of the target at the current production stage are likely to be unqualified. If the structural features corresponding to each production action are extracted, the extracted structural features can be further tested to determine whether each characteristic structure meets the preset standard, and then determine whether the quality of the current production stage is qualified.

[0087] Specifically, the feature set obtained by acquiring image data in the current construction phase can be input into a preset construction quality monitoring model to obtain the construction quality monitoring result corresponding to the current phase.

[0088] In step S4, the construction quality monitoring result of the target cable joint is determined according to the production quality monitoring result corresponding to each production stage.

[0089] Among them, according to the above steps S1 to S3, the construction quality monitoring results corresponding to each production stage can be obtained in turn. If the construction quality monitoring results corresponding to each production stage are qualified, if there is a construction stage corresponding to the construction quality monitoring result is unqualified, it means that the production quality monitoring result of the target cable connector is unqualified and the stage needs to be re-operated.

[0090] Among them, for the monitoring results, if the monitoring results do not meet the quality standards, an early warning will be issued, and the construction of this stage will be carried out again on site. After the construction is completed, jump to step S1 to re-perform the quality inspection of the current stage. The construction of the next stage will not be allowed until the quality of each stage is qualified.

[0091] The embodiment of the present invention obtains the production image data of the target cable joint at each production stage based on the construction characteristics corresponding to the construction process of each stage of the target cable joint; then performs feature extraction on the obtained image data, obtains the structural feature set of the current production stage, and obtains the production quality monitoring result corresponding to the current production stage; determines whether it meets the quality requirements of the production step according to the current quality monitoring result, and determines whether to re-produce the step or allow the next production process. Based on the production image data of the target cable joint at each production stage, the production quality of the target cable joint can be further tested according to the corresponding production structure feature set, which is conducive to the rapid and accurate monitoring and control of the production quality of the target cable joint.

[0092] In a possible implementation, the preset cable construction quality monitoring model includes a construction quality monitoring model corresponding to each construction stage. If the features extracted from the image taken at the current construction stage meet the preset conditions, the set of manufacturing structure features corresponding to the current construction stage is input into the preset construction quality monitoring model to obtain the construction quality monitoring results corresponding to the current construction stage, including:

[0093] If the features extracted from the construction image meet the preset conditions, it is determined whether the current construction stage is a target construction stage, and the target construction stage is a stage for producing measurement data corresponding to the cable joint production process.

[0094] If the current construction stage is the target construction stage, the corresponding measurement data is extracted based on the image acquired by the camera.

[0095] The measurement data and construction result characteristics corresponding to the current construction stage are input into the construction quality monitoring model to obtain the construction quality monitoring results corresponding to the current construction stage.

[0096] In a possible implementation, after determining whether the current construction stage is the target construction stage, the method further includes:

[0097] If the current construction stage is not the target construction stage, the construction qualification information of the production personnel corresponding to the cable joint is obtained.

[0098] The confidence level of the cable structure characteristics corresponding to the current construction stage is determined based on the construction qualification information.

[0099] The image feature set and the obtained confidence level of the construction results corresponding to the current construction stage are input into the quality monitoring model to obtain the construction quality monitoring results corresponding to the current construction stage.

[0100] If the current production stage is not the target production stage, that is, the construction results of the current stage do not have corresponding production result standards, and the production quality of the construction results cannot be directly judged based on the data, then the construction personnel's construction qualification information, such as professional certificates, years of experience, etc., can be obtained. If the corresponding construction personnel's years of experience are longer, it indicates that the construction personnel's final construction quality of the current construction stage is more likely to be qualified. Therefore, the construction personnel's professional qualification information can be used as the confidence of the construction result image taken at the current stage, and the feature set extracted from the image corresponding to the current construction stage and the confidence can be combined and input into the quality monitoring model to obtain the construction quality monitoring result corresponding to the current construction stage.

[0101] Among them, the preset construction quality monitoring models can all be neural network models, and the appropriate quality monitoring model can be selected according to the characteristics and features of the current construction stage.

[0102] In a possible implementation, after detecting whether the structural characteristics of the current construction stage meet the preset conditions, the method further includes:

[0103] If the image structure features do not meet the preset conditions, the construction quality monitoring results of the current stage are determined to be unqualified.

[0104] If the construction quality monitoring result of the current stage is unqualified, the result of this stage will be judged as re-construction. After the re-construction is completed, the quality of the current stage will be monitored again.

[0105] In this embodiment, the construction quality of the target cable joint is initially detected by extracting image features of the current construction stage, so that unqualified construction quality in each stage can be quickly identified.

[0106] It should be understood that the order of execution of the steps in the above embodiment does not necessarily mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0107] The preferred specific embodiments of the present invention are described in detail above. It should be understood that a person skilled in the art can make many modifications and changes based on the concept of the present invention without creative work. Therefore, any technical solution that can be obtained by a person skilled in the art through logical analysis, reasoning or limited experiments based on the concept of the present invention on the basis of the prior art should be within the scope of protection determined by the claims.

Claims

1. A cable intermediate joint construction quality detection device, characterized in that: The detection device comprises: A multi-segment fill light device (1) is provided with a cavity inside for providing a suitable imaging lighting environment, comprising a shell (101), the shell (101) being provided with a camera shooting hole (103), and the shell (101) being provided with an LED light source (102), a fixing fixture (104) and an inner shell reflector (105); a cable to be detected is inserted into the multi-segment fill light device (1) and fixed by the fixing fixture (104); An image acquisition device (2) acquires an image of the cable to be detected in the multi-segment fill light device (1) through a camera shooting hole (103); The online detection and early warning device (3) comprises an interactive interface (301) and an online detection and early warning intelligent processing unit, and performs quality detection based on the image of the cable to be detected acquired by the image acquisition device (2) according to the current construction stage.

2. A cable intermediate joint construction quality detection device according to claim 1, characterized in that: The multi-segment fill light device (1) is evenly divided into multiple sections of independent chambers, and each chamber is separated by the same material as the inner shell reflector (105).

3. A cable intermediate joint construction quality detection device according to claim 2, characterized in that: The LED light source (102) is placed inside the outer shell (101); the LED light source (102) is a multi-segment LED light strip; each section of the multi-segment fill light device (1) is provided with a multi-segment light strip; the multi-segment light strip is parallel to the axis of the inner shell reflector (105) and is symmetrically arranged at equal intervals with the axis as the center.

4. A cable intermediate joint construction quality detection device according to claim 2, characterized in that: There are a plurality of camera shooting holes (103), and each section of the multi-section fill light device (1) is provided with a plurality of camera shooting holes (103), which are symmetrically arranged at equal intervals with the axis of the multi-section fill light device (1) as the center.

5. A cable intermediate joint construction quality detection device according to claim 1, characterized in that: The online detection and early warning intelligent processing unit includes: An image acquisition module (31) acquires image data of the current stage, and extracts features corresponding to the current stage to obtain feature information required for monitoring the current stage; The monitoring module (32) analyzes the feature information extracted by the image acquisition module (31) and detects whether the features meet the preset quality standards; when the feature information meets the preset conditions, it is input into the quality monitoring model to generate the quality monitoring results of the current operation stage; A test result confirmation module (33) is used by on-site construction personnel to confirm the quality monitoring results corresponding to the construction stage; The early warning information generation module (34) generates corresponding early warning information according to the monitoring results, and issues instructions to the user to re-perform construction at this stage.

6. A cable intermediate joint construction quality detection device according to claim 5, characterized in that: The monitoring module (32) comprises: The stage confirmation unit (321) is used to identify and confirm the specific stage of the current cable joint construction, and determine whether it is the outer sheath roughening degree monitoring stage or the waterproof tape wrapping uniformity detection stage; A roughening degree feature extraction unit (322) extracts roughening degree related features from an input image during the roughening degree monitoring stage of the outer sheath opening, including roughening thickness and uniformity; A roughening degree monitoring model acquisition unit (323) is used to evaluate the acquired roughening degree related characteristic data based on a pre-defined roughening quality standard to determine whether the construction quality reaches the preset standard; The roughening degree result acquisition unit (324) is responsible for collecting the output results of the roughening degree monitoring model and presenting these results to the on-site staff; A uniformity feature extraction unit (325) extracts key uniformity features, including thickness and coverage, from an input waterproof tape image during a uniformity detection stage of the wrapped waterproof tape; A uniformity monitoring model (326) is used to evaluate the uniformity of the waterproof tape, and to judge whether the waterproof effect meets the construction requirements based on the integrity and consistency of the wrapping; and to point out the uneven construction area based on the thickness and construction quality of the waterproof tape; The uniformity result acquisition unit (327) is responsible for acquiring the results from the uniformity monitoring model and delivering them to the on-site staff.

7. A cable intermediate joint construction quality detection device according to claim 6, characterized in that: When the current construction phase is not the target production phase, the monitoring module (32) Obtain qualification information of construction personnel, including but not limited to their certification level, work experience, and historical construction quality records; Based on the collected information on the qualifications of construction personnel, a confidence score is calculated according to the personnel's qualification level and their past construction quality performance; the construction structure feature set and the assessed confidence are input into the construction quality monitoring model together.

8. A method for detecting the construction quality of a cable intermediate joint, characterized in that: The method is based on the cable intermediate joint construction quality detection device according to any one of claims 1 to 7, and the steps include: Based on the current construction stage of the target cable, image data of the required quality inspection parts of the cable at this production stage are obtained; For each production stage, the corresponding image data set is obtained, and feature extraction is performed on the image data set of the current production stage to obtain a set of structural features corresponding to the current production stage; Inputting the production structure feature set corresponding to the current production stage into the quality monitoring model of each stage of the preset production to obtain the production quality monitoring result of the current production stage; Based on the production quality monitoring results of the current production stage, determine whether it meets the quality requirements of the production step, and determine whether to re-produce the step or allow the next production process to proceed.

9. A method for detecting the construction quality of a cable intermediate joint according to claim 8, characterized in that: The construction stages of the method detection include: roughening the outer sheath opening, stripping the cable, and wrapping the waterproof tape; The preset cable construction quality monitoring model includes a construction quality monitoring model corresponding to each construction stage.

10. A method for detecting the construction quality of a cable intermediate joint according to claim 8, characterized in that: The method obtains construction qualification information of a production personnel corresponding to the cable joint when the current construction stage is not the target construction stage; Determine the confidence level of the cable structure characteristics corresponding to the current construction stage based on the construction qualification information; The image feature set and the obtained confidence level of the construction results corresponding to the current construction stage are input into the quality monitoring model to obtain the construction quality monitoring results corresponding to the current construction stage.

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