CN117029703A - Communication cable field production data real-time management monitoring system - Google Patents
Communication cable field production data real-time management monitoring system Download PDFInfo
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- G—PHYSICS
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- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
- G01B11/00—Measuring arrangements characterised by the use of optical techniques
- G01B11/08—Measuring arrangements characterised by the use of optical techniques for measuring diameters
- G01B11/10—Measuring arrangements characterised by the use of optical techniques for measuring diameters of objects while moving
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01B—MEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
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Abstract
The invention relates to the technical field of cable production management, and discloses a communication cable on-site production data real-time management monitoring system, which comprises: the synchronous wire feeding module comprises at least two synchronous wire feeding units and an observation part; the invention carries out line diameter side subsampling and pressure condition sampling on the cable in the conveying motion process, can evaluate the line uniformity very comprehensively and accurately through shooting the cable side at multiple angles and sensing the pressure detection unit, and can bring the verification consideration of the key parameters of the equipment into the production state evaluation basis when carrying out the production state evaluation, thereby being capable of evaluating and judging whether the abnormality exists in the cable production truly more accurately and reducing the condition that the normal production progress is influenced due to misjudgment as much as possible.
Description
Technical Field
The invention relates to the technical field of cable production management, in particular to a communication cable on-site production data real-time management monitoring system.
Background
The cable is usually encapsulated by a plurality of wires or groups of wires, and the outer surface of the cable is usually wrapped by an insulating layer, wherein the insulating layer is a rubber product. Such as communication cables, the requirements for data transmission medium performance in integrated wiring systems are increasing as networks continue to evolve. The class 6 wiring system is selected, so that high-speed data transmission is simplified, a new network application platform is provided, and the service quality of digital voice and video applied to a desktop is greatly improved. The low-noise transmission of signals of the communication cable is a product performance requirement which needs to be considered and strictly regulated.
When the cable is subjected to finished product inspection, the cable size and appearance of the cable need to be checked: including outer diameter, roundness, insulation and appearance quality inspection of the jacket to ensure that the product meets regulatory standards. The inspection after the production of a batch of cables may not be timely enough, and product scrapping is easy to occur, so that a technology capable of evaluating the production condition of the cables in the production process is needed.
Disclosure of Invention
The invention aims to provide a communication cable on-site production data real-time management monitoring system, which solves the following technical problems:
how to provide real-time and accurate supervision and management in the production process of the cable.
The aim of the invention can be achieved by the following technical scheme:
a communication cable field production data real-time management monitoring system comprises:
the synchronous wire feeding module comprises at least two synchronous wire feeding units and an observation part, wherein the synchronous wire feeding units are used for conveying wires, and the wires pass through the observation part;
the synchronous wire feeding units are respectively provided with a pressure detection unit used for acquiring pressure change data of the cable to the synchronous wire feeding units in the cable transmission process;
the equipment key parameter data acquisition module is arranged in the cable production space and is used for acquiring real-time equipment key parameter data of the cable production space;
the wire diameter sampling module comprises a plurality of side sampling units arranged on the observation part and used for acquiring side sampling diagrams of the cables in a motion state;
an off-line analysis module for obtaining off-line outliers from the side sampling map and the pressure change data;
the production state evaluation module is used for carrying out production state evaluation according to the off-line abnormal value and the real-time equipment key parameter data and a preset evaluation method to obtain a production risk score;
and the early warning execution module is connected with the production state evaluation module and used for carrying out early warning and warning pushing according to the production risk score.
According to the technical scheme, on one hand, the synchronous wire feeding module and the wire diameter sampling module are matched to realize wire diameter side sub-sampling and pressure condition sampling of the wire in the conveying motion process, and the wire uniformity can be estimated very comprehensively and accurately through multi-angle shooting of the wire side and sensing of the pressure detection unit, and in addition, the fact that the wire diameter has a quality problem is possibly related to production equipment is considered, so that verification consideration of key parameters of the equipment is included in production state evaluation basis when production state evaluation is carried out, whether abnormal conditions exist in the wire production truly can be evaluated and judged more accurately, and the situation that the normal production progress is influenced due to misjudgment is reduced as much as possible.
As a further scheme of the invention: the off-line analysis module includes:
the side view processing module is used for picking the cable part outline in the side view sampling image obtained in the specified period, and loading the cable part outline into a coordinate system in a blank image according to a preset arrangement rule to obtain an identification sampling image;
the line diameter stability recognition unit is used for outputting a line diameter abnormal value according to the recognition sampling graph;
the line diameter stability recognition unit is a trained neural network model.
As a further scheme of the invention: the preset arrangement rule includes:
the specified time period comprises a first time point and a second time point;
the cable part profile corresponding to the side sampling graph acquired at the first time point is as followsThe profile of the cable portion corresponding to the side sampling map acquired at the second time point is +.>；
Wherein,m is the number of the side sampling units, < >>Numbering corresponding to the side sampling units;
according toAnd arranging and splicing the cable part outline.
As a further scheme of the invention: the off-line analysis module further includes:
a pressure analysis unit for calculating a pressure anomaly value according to formula one;
the formula one:
；
wherein,for said pressure anomaly value within said specified period T>And->For the corresponding coefficient->For the maximum value of the pressure within said specified period, < > for>For the mean value of the pressure during said specified period, < > for>For a time exceeding a preset pressure within the specified period T;
an off-line anomaly evaluation unit for calculating the off-line anomaly value according to formula two;
the formula II:
；
wherein,for the off-line outlier, +.>The abnormal value of the wire diameter is the abnormal value;
when (when)When (I)>；
When (when)When (I)>；
Is a preset pressure anomaly threshold.
As a further scheme of the invention: the preset evaluation method comprises the following steps:
acquiring equipment key parameter anomaly scores according to the real-time equipment key parameter data；
；
Wherein,scoring said production risk->And the standard value of the key parameter abnormality of the preset equipment.
As a further scheme of the invention: the key parameter anomaly score of the deviceThe acquisition method of (1) comprises the following steps:
；
wherein,is->The key parameters of the item device detect the value of the item, +.>Is->Standard value of key parameter detection item of item equipment, +.>The total number of items is detected for the device key parameters.
As a further scheme of the invention: further comprises:
the cable butt joint ring acquisition module is used for acquiring a sampling graph group aiming at the butt joint position of the two cables;
and the docking analysis module is used for processing the sampling image group according to a preset image processing rule to obtain a combined image, and evaluating the docking alignment degree of the cable according to the combined image.
As a further scheme of the invention: the sampling graph group is a plurality of equidistant sampling graphs obtained around the butt joint of the cables;
the preset image processing rules comprise:
randomly extracting H equidistant sampling graphs in the sampling graph group;
carrying out pixel combination on the H equidistant sampling images to obtain a combined image;
the pixel merging includes:
if the pixel points are the same, the pixel value is unchanged;
if the pixels are different, the average value of the two pixels is replaced.
As a further scheme of the invention: the production state evaluation module is connected with the early warning execution module through a wireless communication module.
The invention has the beneficial effects that: according to the invention, on one hand, the synchronous wire feeding module and the wire diameter sampling module are matched to realize wire diameter side subsampling and pressure condition sampling of the wire in the conveying motion process, the wire diameter uniformity can be estimated completely and accurately through multi-angle shooting of the wire side and sensing of the pressure detection unit, and in addition, the problem of wire diameter quality is considered to be possibly related to production equipment, so that verification consideration of key parameters of equipment is included in production state evaluation basis when production state evaluation is carried out, whether abnormal production of the wire is actually estimated and judged can be more accurately, and the condition that normal production progress is influenced due to misjudgment is reduced as much as possible.
Drawings
The invention is further described below with reference to the accompanying drawings.
Fig. 1 is a schematic diagram of module connection of a communication cable on-site production data real-time management monitoring system according to the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1, the present invention is a real-time management and monitoring system for field production data of a communication cable, comprising:
the synchronous wire feeding module comprises at least two synchronous wire feeding units and an observation part, wherein the synchronous wire feeding units are used for conveying wires, and the wires pass through the observation part;
the synchronous wire feeding units are respectively provided with a pressure detection unit used for acquiring pressure change data of the cable to the synchronous wire feeding units in the cable transmission process;
the equipment key parameter data acquisition module is arranged in the cable production space and is used for acquiring real-time equipment key parameter data of the cable production space;
the wire diameter sampling module comprises a plurality of side sampling units arranged on the observation part and used for acquiring side sampling diagrams of the cables in a motion state;
an off-line analysis module for obtaining off-line outliers from the side sampling map and the pressure change data;
the production state evaluation module is used for carrying out production state evaluation according to the off-line abnormal value and the real-time equipment key parameter data and a preset evaluation method to obtain a production risk score;
and the early warning execution module is connected with the production state evaluation module and used for carrying out early warning and warning pushing according to the production risk score.
According to the technical scheme, on one hand, the synchronous wire feeding module and the wire diameter sampling module are matched to realize wire diameter side sub-sampling and pressure condition sampling of the wire in the conveying motion process, and the wire uniformity can be estimated very comprehensively and accurately through multi-angle shooting of the wire side and sensing of the pressure detection unit, and in addition, the fact that the wire diameter has a quality problem is possibly related to production equipment is considered, so that verification consideration of key parameters of the equipment is included in production state evaluation basis when production state evaluation is carried out, whether abnormal conditions exist in the wire production truly can be evaluated and judged more accurately, and the situation that the normal production progress is influenced due to misjudgment is reduced as much as possible.
Specifically, in this embodiment, the synchronous wire feeding unit may use a set of driving wheels to clamp the cable up and down for transmission driving, and the driving wheels of adjacent synchronous wire feeding units may use a transmission chain for transmission connection, so as to ensure that the rotation speeds of the driving wheels are kept consistent, so as to ensure the stability of the cable in the conveying process; the observation part can adopt a transparent pipeline, the cable coaxially passes through the observation part, the side sampling units can adopt micro-distance image pick-up equipment, the side sampling units are annularly arranged on the outer side of the transparent pipeline, and the direction of the image pick-up center is aligned to the axis of the cable.
As a further scheme of the invention: the off-line analysis module includes:
the side view processing module is used for picking the cable part outline in the side view sampling image obtained in the specified period, and loading the cable part outline into a coordinate system in a blank image according to a preset arrangement rule to obtain an identification sampling image;
the line diameter stability recognition unit is used for outputting a line diameter abnormal value according to the recognition sampling graph;
the line diameter stability recognition unit is a trained neural network model.
In this embodiment, a Convolutional Neural Network (CNN) may be used to analyze and identify the sample graph, and a training sample used to train the CNN differs from an image input to the trained CNN in that it is manually labeled; because Convolutional Neural Networks (CNNs) are an advantage of being trainable, the convolutional neural networks can be retrained and can be popularized and applied to the wire diameter detection process of different cables.
Convolutional Neural Networks (CNNs) include a number of functional components, each component typically having parameters associated with it. Without the application of any robust image processing system, the specific values of those parameters necessary for a successful and accurate image classification are not known a priori. Thus, through an iterative process, candidate architectures and candidate parameters for the CNN may be selected to construct, train, and optimize the CNN. For example, the iterative process may include: a candidate architecture is selected from the plurality of candidate architectures and a set of candidate parameters for the selected candidate architecture is validated. Candidate architectures may include a classifier type, several convolutional layers and sub-sampling (subsampling) layers. Candidate parameters may include a learning rate, a batch size, a maximum number of training epochs (training epochs), an input image size, a feature map (feature map) number at each layer of the CNN, a convolution filter size, a sub-sampling pool size, a number of hidden layers, a number of units in each hidden layer, a selected classifier algorithm, and a number of output categories. Additionally, a preprocessing protocol may also be selected to enhance the specifics in the image for the selected candidate architecture and the selected candidate parameters.
The iterative process may include: intermediate CNNs were constructed using training sets and the performance of the intermediate CNNs on the validation set was evaluated (estimated). For example, the evaluation determines whether the intermediate CNN meets a verification threshold (such as less than 20% error rate). This iterative process is repeated until a predetermined number (e.g., 25) of intermediate CNNs meet the validation threshold. According to an example, each intermediate CNN has a different value for the selected candidate parameter. Then, the most accurate set of intermediate CNNs is generated from the predetermined number of intermediate CNNs. For example, the set may be the first 5 most accurate intermediate CNNs. The next step may include: a set algorithm is selected to aggregate and/or combine the predictions for each intermediate CNN in the set to form a set prediction. The predictions for each intermediate CNN in the set can then be used to classify the image or objects in the image.
As a further scheme of the invention: the preset arrangement rule includes:
the specified time period comprises a first time point and a second time point;
the cable part profile corresponding to the side sampling graph acquired at the first time point is as followsThe profile of the cable portion corresponding to the side sampling map acquired at the second time point is +.>；
Wherein,m is the number of the side sampling units, < >>Numbering corresponding to the side sampling units;
according toAnd arranging and splicing the cable part outline. Therefore, in the conveying process of the cables, although the synchronous wire feeding units are kept synchronous, certain jitter is necessarily generated in the conveying process because the wire diameters of the cables cannot be perfectly consistent, certain interference is also brought to the matting of the contours of the cable parts, two time points are specially selected and are arranged in a crossing manner, the probability of difference between the contours of the adjacent cable parts is increased, and therefore the subjective recognition degree of a recognition sampling graph is improved, and the training of a neural network model and the subsequent recognition process are facilitated.
As a further scheme of the invention: the off-line analysis module further includes:
a pressure analysis unit for calculating a pressure anomaly value according to formula one;
the formula one:
；
wherein,for said pressure anomaly value within said specified period T>And->For the corresponding coefficient->For the maximum value of the pressure within said specified period, < > for>For the mean value of the pressure during said specified period, < > for>For a time exceeding a preset pressure within the specified period T;
an off-line anomaly evaluation unit for calculating the off-line anomaly value according to formula two;
the formula II:
；
wherein,for the off-line outlier, +.>The abnormal value of the wire diameter is the abnormal value;
when (when)When (I)>；
When (when)When (I)>；
Is a preset pressure anomaly threshold.
As a further scheme of the invention: the preset evaluation method comprises the following steps:
acquiring equipment key parameter anomaly scores according to the real-time equipment key parameter data；
；
Wherein,scoring said production risk->And the standard value of the key parameter abnormality of the preset equipment.
When (when)When the cable production process is performed, the risk in the cable production process can be judged, and the shutdown inspection is needed; />Is a preset standard value.
As a further scheme of the invention: the key parameter anomaly score of the deviceThe acquisition method of (1) comprises the following steps:
；
wherein,is->The key parameters of the item device detect the value of the item, +.>Is->Standard value of key parameter detection item of item equipment, +.>The total number of items is detected for the device key parameters.
As a further scheme of the invention: further comprises:
the cable butt joint ring acquisition module is used for acquiring a sampling graph group aiming at the butt joint position of the two cables;
and the docking analysis module is used for processing the sampling image group according to a preset image processing rule to obtain a combined image, and evaluating the docking alignment degree of the cable according to the combined image.
As a further scheme of the invention: the sampling graph group is a plurality of equidistant sampling graphs obtained around the butt joint of the cables;
the preset image processing rules comprise:
randomly extracting H equidistant sampling graphs in the sampling graph group;
carrying out pixel combination on the H equidistant sampling images to obtain a combined image;
the pixel merging includes:
if the pixel points are the same, the pixel value is unchanged;
if the pixels are different, the average value of the two pixels is replaced.
The axial line of the cable is taken as a central line, the radius is r, a circular ring-shaped track is taken, the picture is acquired along the direction of the circular ring-shaped track towards the central line, and H equidistant sampling pictures with the same size and resolution are obtained, so that the subsequent pixel combination is facilitated. When the V+1st equidistant sampling image and the V st equidistant sampling image are subjected to pixel combination, the pixel points at the same position can be combined because the sizes of all equidistant sampling images are the same, and if the pixel points are the same, the pixel value is unchanged; if the pixels are different, the average value of the two pixels is replaced, the merging object of the V+2 equidistant sampling images is the image obtained by merging the pixels of the V+1 equidistant sampling images and the V equidistant sampling images, and the like, and the finally obtained merging image is taken as the basis for evaluating the flush degree of the butt joint position of the cables.
So design, because the cable cross-section is circular, if there is the position of misalignment, shoot alone from an angle and probably can not discover the condition of misalignment, a plurality of equidistance sampling patterns can provide more shooting angles, if there is the position of misalignment, the difference can all appear in the merging image that obtains and H Zhang Dengju sampling pattern in every, and the difference is bigger then the instruction flush degree is lower, so can carry out accurate handle control to the butt joint of cable, and it is very convenient.
As a further scheme of the invention: the production state evaluation module is connected with the early warning execution module through a wireless communication module, and the wireless communication module can comprise a Zigbee module, an Ethernet, a router, an information prompt module and a monitoring host, and the Zigbee module, the Ethernet, the router, the information prompt module and the monitoring host are in bidirectional electrical connection.
The foregoing describes one embodiment of the present invention in detail, but the description is only a preferred embodiment of the present invention and should not be construed as limiting the scope of the invention. All equivalent changes and modifications within the scope of the present invention are intended to be covered by the present invention.
Claims (9)
1. The utility model provides a communication cable on-the-spot production data real-time management monitoring system which characterized in that includes:
the synchronous wire feeding module comprises at least two synchronous wire feeding units and an observation part, wherein the synchronous wire feeding units are used for conveying wires, and the wires pass through the observation part;
the synchronous wire feeding units are respectively provided with a pressure detection unit used for acquiring pressure change data of the cable to the synchronous wire feeding units in the cable transmission process;
the equipment key parameter data acquisition module is arranged in the cable production space and is used for acquiring real-time equipment key parameter data of the cable production space;
the wire diameter sampling module comprises a plurality of side sampling units arranged on the observation part and used for acquiring side sampling diagrams of the cables in a motion state;
an off-line analysis module for obtaining off-line outliers from the side sampling map and the pressure change data;
the production state evaluation module is used for carrying out production state evaluation according to the off-line abnormal value and the real-time equipment key parameter data and a preset evaluation method to obtain a production risk score;
and the early warning execution module is connected with the production state evaluation module and used for carrying out early warning and warning pushing according to the production risk score.
2. The communication cable field production data real-time management monitoring system of claim 1, wherein the off-line analysis module comprises:
the side view processing module is used for picking the cable part outline in the side view sampling image obtained in the specified period, and loading the cable part outline into a coordinate system in a blank image according to a preset arrangement rule to obtain an identification sampling image;
the line diameter stability recognition unit is used for outputting a line diameter abnormal value according to the recognition sampling graph;
the line diameter stability recognition unit is a trained neural network model.
3. The system for real-time management and monitoring of production data of a communication cable according to claim 2, wherein the preset arrangement rule comprises:
the specified time period comprises a first time point and a second time point;
the cable part profile corresponding to the side sampling graph acquired at the first time point is as followsThe profile of the cable portion corresponding to the side sampling map acquired at the second time point is +.>；
Wherein,m is the number of the side sampling units, < >>Numbering corresponding to the side sampling units;
according toAnd arranging and splicing the cable part outline.
4. The communication cable field production data real-time management monitoring system of claim 2, wherein the off-line analysis module further comprises:
a pressure analysis unit for calculating a pressure anomaly value according to formula one;
the formula one:
；
wherein,for said pressure anomaly value within said specified period T>And->For the corresponding coefficient->For the maximum value of the pressure within said specified period, < > for>For the mean value of the pressure during said specified period, < > for>For a time exceeding a preset pressure within the specified period T;
an off-line anomaly evaluation unit for calculating the off-line anomaly value according to formula two;
the formula II:
；
wherein,for the off-line outlier, +.>The abnormal value of the wire diameter is the abnormal value;
when (when)When (I)>；
When (when)When (I)>；
Is a preset pressure anomaly threshold.
5. The system for real-time management and monitoring of production data of a communication cable according to claim 4, wherein the preset evaluation method comprises:
acquiring equipment key parameter anomaly scores according to the real-time equipment key parameter data；
；
Wherein,scoring said production risk->And the standard value of the key parameter abnormality of the preset equipment.
6. The system of claim 5, wherein the equipment key parameter anomaly scoreThe acquisition method of (1) comprises the following steps:
；
wherein,is->The key parameters of the item device detect the value of the item, +.>Is->Standard value of key parameter detection item of item equipment, +.>The total number of items is detected for the device key parameters.
7. The communication cable field production data real-time management monitoring system of claim 1, further comprising:
the cable butt joint ring acquisition module is used for acquiring a sampling graph group aiming at the butt joint position of the two cables;
and the docking analysis module is used for processing the sampling image group according to a preset image processing rule to obtain a combined image, and evaluating the docking alignment degree of the cable according to the combined image.
8. The system of claim 7, wherein the set of sampling patterns is a plurality of equidistant sampling patterns obtained around a junction of the cables;
the preset image processing rules comprise:
randomly extracting H equidistant sampling graphs in the sampling graph group;
carrying out pixel combination on the H equidistant sampling images to obtain a combined image;
the pixel merging includes:
if the pixel points are the same, the pixel value is unchanged;
if the pixels are different, the average value of the two pixels is replaced.
9. The system of claim 1, wherein the production status assessment module is connected to the early warning execution module via a wireless communication module.
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| CN117710901B (en) * | 2024-02-02 | 2024-04-26 | 鲁能泰山曲阜电缆有限公司 | Cable manufacture abnormality detection system based on machine vision |
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| CN117029703B (en) | 2023-12-29 |
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