CN116380169B - Identification monitoring method and system for intelligent cable installation - Google Patents
Identification monitoring method and system for intelligent cable installation Download PDFInfo
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- CN116380169B CN116380169B CN202310402065.8A CN202310402065A CN116380169B CN 116380169 B CN116380169 B CN 116380169B CN 202310402065 A CN202310402065 A CN 202310402065A CN 116380169 B CN116380169 B CN 116380169B
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 95
- 238000009434 installation Methods 0.000 title claims abstract description 40
- 238000000034 method Methods 0.000 title claims abstract description 38
- 239000000463 material Substances 0.000 claims abstract description 33
- 238000005452 bending Methods 0.000 claims description 67
- 230000002159 abnormal effect Effects 0.000 claims description 18
- 238000004364 calculation method Methods 0.000 claims description 6
- 230000007797 corrosion Effects 0.000 claims description 6
- 238000005260 corrosion Methods 0.000 claims description 6
- 238000004891 communication Methods 0.000 claims description 3
- 238000005457 optimization Methods 0.000 claims description 3
- 239000011800 void material Substances 0.000 claims 2
- 230000000694 effects Effects 0.000 abstract description 7
- 238000012986 modification Methods 0.000 description 4
- 230000004048 modification Effects 0.000 description 4
- 230000005540 biological transmission Effects 0.000 description 2
- 230000007547 defect Effects 0.000 description 2
- 238000010586 diagram Methods 0.000 description 2
- 239000007789 gas Substances 0.000 description 2
- 238000011900 installation process Methods 0.000 description 2
- -1 polyethylene Polymers 0.000 description 2
- 238000012545 processing Methods 0.000 description 2
- 239000004698 Polyethylene Substances 0.000 description 1
- 239000004743 Polypropylene Substances 0.000 description 1
- 229910000831 Steel Inorganic materials 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000000556 factor analysis Methods 0.000 description 1
- 239000002737 fuel gas Substances 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 239000004033 plastic Substances 0.000 description 1
- 229920003023 plastic Polymers 0.000 description 1
- 229920000573 polyethylene Polymers 0.000 description 1
- 229920001155 polypropylene Polymers 0.000 description 1
- 229920000915 polyvinyl chloride Polymers 0.000 description 1
- 239000004800 polyvinyl chloride Substances 0.000 description 1
- 238000007781 pre-processing Methods 0.000 description 1
- 239000013049 sediment Substances 0.000 description 1
- 230000008054 signal transmission Effects 0.000 description 1
- 239000010959 steel Substances 0.000 description 1
- 239000000126 substance Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
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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
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/10—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring diameters
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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
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/20—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring contours or curvatures, e.g. determining profile
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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
- G01B21/00—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant
- G01B21/28—Measuring arrangements or details thereof, where the measuring technique is not covered by the other groups of this subclass, unspecified or not relevant for measuring areas
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N25/00—Investigating or analyzing materials by the use of thermal means
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N3/00—Investigating strength properties of solid materials by application of mechanical stress
- G01N3/56—Investigating resistance to wear or abrasion
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
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- G—PHYSICS
- G08—SIGNALLING
- G08B—SIGNALLING OR CALLING SYSTEMS; ORDER TELEGRAPHS; ALARM SYSTEMS
- G08B21/00—Alarms responsive to a single specified undesired or abnormal condition and not otherwise provided for
- G08B21/18—Status alarms
- G08B21/24—Reminder alarms, e.g. anti-loss alarms
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02G—INSTALLATION OF ELECTRIC CABLES OR LINES, OR OF COMBINED OPTICAL AND ELECTRIC CABLES OR LINES
- H02G1/00—Methods or apparatus specially adapted for installing, maintaining, repairing or dismantling electric cables or lines
- H02G1/06—Methods or apparatus specially adapted for installing, maintaining, repairing or dismantling electric cables or lines for laying cables, e.g. laying apparatus on vehicle
- H02G1/08—Methods or apparatus specially adapted for installing, maintaining, repairing or dismantling electric cables or lines for laying cables, e.g. laying apparatus on vehicle through tubing or conduit, e.g. rod or draw wire for pushing or pulling
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Abstract
The disclosure provides an identification monitoring method and system for intelligent cable installation, and relates to the technical field of cable installation monitoring, wherein the method comprises the following steps: acquiring a preset laying path of a first cable to be installed; acquiring a cable duct laying path; acquiring data of the cable duct laying path to obtain a cable duct curvature data set, a cable duct section data set and a cable duct connection data set; obtaining cable material attribute information and cable section geometric information; obtaining a first monitoring result, a second monitoring result and a third monitoring result based on the first cable to be installed; the first early warning information and/or the second early warning information and/or the third early warning information are generated, so that the technical problem that the safety monitoring effect on cable installation is poor due to the fact that analysis on cable information and cable laying path information is not detailed enough in the prior art is solved.
Description
Technical Field
The disclosure relates to the technical field of cable installation monitoring, in particular to an identification monitoring method and system for intelligent cable installation.
Background
The cable is generally used in the fields of power transmission or signal transmission, the cable is closely related to human life, and along with the wide application of the cable, the cable safety problem also appears successively, and in the installation process of the cable, the cable installation is accurately monitored, so that the cable safety accident can be effectively avoided.
At present, the technical problem that the safety monitoring effect on cable installation is poor due to the fact that analysis on cable information and cable laying path information is not detailed enough exists in the prior art.
Disclosure of Invention
The disclosure provides an identification monitoring method and system for intelligent cable installation, which are used for solving the technical problem that the safety monitoring effect on cable installation is poor due to insufficient detail of analysis on cable information and cable laying path information in the prior art.
According to a first aspect of the present disclosure, there is provided an identification monitoring method for smart cable installation, comprising: acquiring a preset laying path of a first cable to be installed; acquiring a cable duct laying path according to the preset laying path; carrying out data acquisition on the cable conduit laying path according to the data acquisition device to obtain a cable conduit curvature data set, a cable conduit section data set and a cable conduit connection data set; acquiring cable material attribute information and cable section geometric information by acquiring data of the first cable to be installed; taking the cable material attribute information and the cable section geometric information as first input data, and taking the cable duct curvature data set, the cable duct section data set and the cable duct connection data set as second input data to obtain a first monitoring result, a second monitoring result and a third monitoring result based on the first cable to be installed; and generating first early warning information and/or second early warning information and/or third early warning information according to the first monitoring result, the second monitoring result and the third monitoring result.
According to a second aspect of the present disclosure, there is provided an identification monitoring system for smart cable installation, comprising: the system comprises a preset laying path acquisition module, a first cable to be installed and a second cable to be installed, wherein the preset laying path acquisition module is used for acquiring a preset laying path of the first cable to be installed; the cable duct laying path acquisition module is used for acquiring a cable duct laying path according to the preset laying path; the laying path data acquisition module is used for acquiring data of the laying path of the cable conduit according to the data acquisition device to obtain a cable conduit curvature data set, a cable conduit section data set and a cable conduit connection data set; the to-be-installed cable data acquisition module is used for acquiring cable material attribute information and cable section geometric information by carrying out data acquisition on the first to-be-installed cable; the monitoring result acquisition module is used for taking the cable material attribute information and the cable section geometric information as first input data, and taking the cable conduit curvature data set, the cable conduit section data set and the cable conduit connection data set as second data to obtain a first monitoring result, a second monitoring result and a third monitoring result based on the first cable to be installed; the early warning information generation module is used for generating first early warning information and/or second early warning information and/or third early warning information according to the first monitoring result, the second monitoring result and the third monitoring result.
According to the identification monitoring method for intelligent cable installation, firstly, the cable information to be installed and the cable duct information are collected, whether the cable duct accords with the cable information to be installed or not is judged by analyzing and processing the cable information to be installed and the cable duct information, so that the cable installation is monitored, the monitoring effect of cable installation is improved, abnormal cable installation is early warned in time, potential safety hazards of installed cables are prevented, and larger safety accidents are caused.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
For a clearer description of the present disclosure or of the prior art, the drawings that are required to be used in the description of the embodiments or of the prior art will be briefly described, it being apparent that the drawings in the description below are merely illustrative and that other drawings may be obtained, without inventive effort, by a person skilled in the art from the drawings provided.
Fig. 1 is a schematic flow chart of an identification monitoring method for smart cable installation according to an embodiment of the present invention;
FIG. 2 is a flow chart of obtaining first warning information according to an embodiment of the present invention;
FIG. 3 is a flowchart of obtaining second warning information according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of an identification monitoring system for smart cable installation according to an embodiment of the present invention.
Reference numerals illustrate: the system comprises a preset laying path acquisition module 11, a cable conduit laying path acquisition module 12, a laying path data acquisition module 13, a cable data acquisition module 14 to be installed, a monitoring result acquisition module 15 and an early warning information generation module 16.
Detailed Description
Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
In order to solve the technical problem that the safety monitoring effect on cable installation is poor due to insufficient detailed analysis on cable information and cable laying path information in the prior art, the inventor of the present disclosure obtains the identification monitoring method and system for intelligent cable installation through creative labor.
Example 1
Fig. 1 is a diagram of an identification and monitoring method for smart cable installation, where the method is applied to a security early warning system for cable installation, and the system is communicatively connected to a data acquisition device, as shown in fig. 1, and the method includes:
step S100: acquiring a preset laying path of a first cable to be installed;
Specifically, the first cable to be installed refers to any type of cable, and the preset laying path refers to cable path trend information in a preset cable laying plan.
Step S200: acquiring a cable duct laying path according to the preset laying path;
Specifically, according to the preset laying path, a cable conduit laying path is obtained, the cable conduit refers to a steel pipe or a plastic pipe for protecting a cable, the cable conduit laying path refers to an installation path of the cable conduit, and the cable conduit laying path corresponds to the preset laying path, that is, when the cable is installed, the cable conduit needs to be laid first, and the cable is installed inside the cable conduit for protecting the cable.
Step S300: carrying out data acquisition on the cable conduit laying path according to the data acquisition device to obtain a cable conduit curvature data set, a cable conduit section data set and a cable conduit connection data set;
Specifically, the data acquisition device is a device which converts various physical quantities into analog electric signals through corresponding sensors or measuring equipment, converts the analog electric signals into digital signals, stores the digital signals, performs preprocessing, is in communication connection with a cable-mounted safety early warning system, and has the functions of real-time acquisition, automatic storage, instant display and automatic transmission. The curvature of the curve is the rotation rate of the tangential direction angle of a certain point on the curve to the arc length, and indicates the degree of deviation of the curve from a straight line, and in this embodiment, the curvature data set of the cable conduit refers to the curvature data of the cable conduit and can be represented by a bending radius; the cable duct section data set refers to the area, radius and other data of the cable duct section; the cable duct is generally formed by connecting a plurality of ducts, any two ducts need to be firmly connected, the tightness is high, substances such as water and sediment are prevented from entering the cable to influence the safety of the cable, and a cable duct connection data set refers to data of the connection part of the cable duct, such as whether the connection is tight, whether a gap exists at the connection part, whether corrosion occurs or not, and the like.
Step S400: acquiring cable material attribute information and cable section geometric information by acquiring data of the first cable to be installed;
Specifically, data acquisition is performed on the first cable to be installed, the cable material attribute information refers to the elasticity, the temperature resistance, the wear resistance and other attributes of the material of the cable, the commonly used cable material comprises polyethylene, polyvinyl chloride, polypropylene and the like, the material attributes corresponding to different cable materials are different, and the cable section geometric information refers to the cross-sectional area, the radius and other dimension information of the first cable to be installed.
Step S500: taking the cable material attribute information and the cable section geometric information as first input data, and taking the cable duct curvature data set, the cable duct section data set and the cable duct connection data set as second input data to obtain a first monitoring result, a second monitoring result and a third monitoring result based on the first cable to be installed;
Specifically, cable material attribute information and cable section geometric information are used as first input data, a cable duct curvature data set, a cable duct section data set and a cable duct connection data set are used as second input data, any one of the first input data and the second input data can be called respectively for analysis, so that a first monitoring result, a second monitoring result and a third monitoring result based on a first cable to be installed are obtained, that is, the cable duct and the first cable to be installed can be analyzed by calling the cable material attribute information in the first input data and the cable duct curvature data set in the second input data, and a bending rate range which can be achieved by the first cable to be installed is analyzed, so that whether the cable duct curvature accords with the bending rate range of the cable is determined, and the first monitoring result is used as the first monitoring result; the cable duct section geometric information in the first input data and the cable duct section data set in the second input data can be called to analyze whether the cable duct size meets the standard or not and whether the cable duct size corresponds to the size of the first cable to be installed or not, and the cable duct size and the size of the first cable to be installed are taken as second monitoring results; and (3) calling a cable conduit connection data set in the second input data to analyze the cable conduit connection position, determining whether the connection position has phenomena of gaps, corrosion, infirm connection and the like, and taking the phenomena as a third monitoring result.
Step S600: and generating first early warning information and/or second early warning information and/or third early warning information according to the first monitoring result, the second monitoring result and the third monitoring result.
Specifically, according to the first monitoring result, the second monitoring result and the third monitoring result, first early warning information and/or second early warning information and/or third early warning information are generated, that is, if abnormal data appear in any one of the first monitoring result, the second monitoring result and the third monitoring result, the early warning information is generated according to the abnormal data, according to different actual installation conditions, one or two or three early warning information may not be generated, for example, the curvature of the cable duct displayed in the first monitoring result exceeds the range of the bending rate of the first cable to be installed, the first early warning information is generated, the staff is reminded, and the staff is assisted to take relevant measures to improve.
As shown in fig. 2, step S610 of the embodiment of the present application further includes:
step S611: carrying out material analysis on the first cable to be installed according to the cable material attribute information to obtain a cable bending rate interval;
Step S612: outputting the bending rate of the cable duct according to the curvature data set of the cable duct;
Step S613: analyzing the cable bending rate interval and the cable duct bending rate, and judging whether the cable duct bending rate is in the cable bending rate interval or not;
step S614: and if the cable duct bending rate is not in the cable bending rate interval, outputting the first early warning information.
Specifically, material analysis is performed on the first cable to be installed according to the attribute information of the cable material to obtain a cable bending rate interval, that is, the cable material is different, the corresponding elasticity and bending deformation capacity are also different, the elasticity and bending deformation capacity of the first cable to be installed are determined according to the cable material of the first cable to be installed, that is, no crack and obvious shrinkage phenomenon exist after the cable is bent, so that the bending rate range which can be achieved by the first cable to be installed is determined, the bending radius can be used for representing the bending rate interval, and the cable bending rate interval refers to the bending radius range which can be achieved by the first cable to be installed. Further, according to the curvature data set of the cable duct, the bending rate of the cable duct is extracted, the bending radius of the cable duct is defined as the bending radius of the cable duct, and then the bending rate interval of the cable duct is compared with the bending rate of the cable duct to judge whether the bending rate of the cable duct is in the bending rate interval of the cable duct, that is, the bending radius of the cable duct is not smaller than the minimum bending radius of the incoming cable under normal conditions, otherwise, the cable cannot be installed in the cable duct, or the cable is damaged, that is, if the bending rate of the cable duct is not in the bending rate interval of the cable duct, the bending radius of the cable duct is smaller than the minimum bending radius of the first cable to be installed, at the moment, the first early warning information is output to assist workers in checking the cable duct and taking corresponding measures.
Step S612 of the embodiment of the present application further includes:
Step S6121: acquiring a cable duct curvature data set, wherein the cable duct curvature data set comprises a forward continuous curvature data set and a reverse continuous curvature data set, and the forward continuous curvature data set and the reverse continuous curvature data set are in one-to-one correspondence;
step S6122: and carrying out mean value calculation on the forward continuous curvature data set and the reverse continuous curvature data set, and outputting the cable duct bending rate.
Specifically, from the cable guide curvature dataset, the output cable guide curvature process is as follows: the method comprises the steps of obtaining a cable duct curvature data set, wherein the cable duct curvature data set comprises a forward continuous curvature data set and a reverse continuous curvature data set, in short, the curvature represents the bending radius of a cable, the bending direction of the cable comprises upward bending and downward bending, the upward bending corresponds to the forward curvature, the downward bending corresponds to the reverse curvature, a plurality of continuous-position curvatures need to be obtained in the whole cable, so that the forward continuous curvature data set and the reverse continuous curvature data set are formed, one-to-one correspondence is formed between one center point of the cable duct and one forward curvature and one reverse curvature, one center point of the cable duct corresponds to a plurality of forward curvatures and a plurality of reverse curvatures, and mean value calculation is carried out on the forward continuous curvature data set and the reverse continuous curvature data set, so that a mean value calculation result is taken as the cable duct curvature.
As shown in fig. 3, step S620 of the embodiment of the present application further includes:
step S621: performing size analysis on the first cable to be installed according to the geometric information of the cable section to obtain the cable diameter;
step S622: analyzing the cable duct section data set to obtain the inner diameter and the outer diameter of the cable duct;
Step S623: obtaining a first conduit safety coefficient according to the ratio of the inner diameter of the cable conduit to the outer diameter of the cable conduit;
step S624: obtaining a second conduit safety coefficient by comparing the cable diameter with the cable conduit inner diameter;
Step S625: outputting the second early warning information according to the first conduit safety coefficient and the second conduit safety coefficient.
Specifically, the geometric information of the cable section refers to the size data such as the cross-sectional area and the diameter of the cable, the cable diameter information which can represent the size of the first cable to be installed is extracted from the geometric information, the cable conduit section data set is further analyzed to obtain the inner diameter of the cable conduit and the outer diameter of the cable conduit, that is, the cable conduit is a conduit with thickness, the inner diameter is the diameter of the inner ring of the conduit, the outer diameter is the diameter of the outer ring of the conduit, the ratio of the inner diameter of the cable conduit to the diameter of the cable conduit is calculated, and the first conduit safety coefficient is obtained according to the ratio of the inner diameter of the cable conduit to the outer diameter of the cable conduit. Further, by comparing the cable diameter with the inner diameter of the cable duct, that is, the inner diameter of the cable duct is larger than the cable diameter, the cable can be guaranteed to be installed in the cable duct, if the inner diameter of the cable duct is not larger than the cable diameter, the corresponding second duct safety coefficient is smaller, the smaller the first duct safety coefficient and the second duct safety coefficient is, the smaller the size of the cable duct is not in accordance with the standard, the second early warning information is output based on the smaller the first duct safety coefficient and the second duct safety coefficient, and the second early warning information is sent to staff to assist in duct modification.
The step S625 of the embodiment of the present application further includes:
step S6251: judging whether the first conduit safety coefficient is larger than a first preset conduit safety coefficient or not;
step S6252: if the first conduit safety coefficient is smaller than the first preset conduit safety coefficient, judging whether the second conduit safety coefficient is smaller than a second preset conduit safety coefficient;
step S6253: and if the second conduit safety coefficient is smaller than the second preset conduit safety coefficient, outputting the second early warning information.
Specifically, according to the first conduit safety coefficient and the second conduit safety coefficient, the process of outputting the second early warning information is as follows: firstly, setting a first preset conduit safety coefficient and a second preset conduit safety coefficient according to actual conditions, judging whether the first conduit safety coefficient is larger than the first preset conduit safety coefficient based on the first preset conduit safety coefficient, if the first conduit safety coefficient is smaller than the first preset conduit safety coefficient, indicating that the ratio of the inner diameter to the outer diameter of the conduit of the cable conduit is not in accordance with the requirements, and if the first conduit safety coefficient is smaller than the first preset conduit safety coefficient, further judging whether the second conduit safety coefficient is smaller than the second preset conduit safety coefficient, if the second conduit safety coefficient is smaller than the second preset conduit safety coefficient, indicating that the cable conduit is not in accordance with the standards, if the cable conduit is not in accordance with the standards, otherwise, causing hidden danger to the cable safety, and outputting second early warning information based on the second early warning information.
The step S630 of the embodiment of the present application further includes:
step S631: acquiring a plurality of connection nodes according to the cable guide tube connection data set;
step S632: outputting a plurality of connection safety coefficients according to the plurality of connection nodes;
step S633: performing abnormal node judgment on the plurality of connection safety coefficients to obtain abnormal connection nodes;
step S634: and outputting the third early warning information according to the abnormal connection node.
Specifically, a cable conduit connection data set is called and analyzed, the cable conduit is formed by connecting a plurality of conduits, a connection node exists between every two conduits, a plurality of connection nodes are obtained based on the connection node, analysis is performed on the plurality of connection nodes, whether the plurality of connection nodes are firm or not is determined, tightness is good or not, defects such as gaps and cracks can not exist, cable safety analysis is performed on the plurality of connection nodes based on the connection nodes, a plurality of connection safety coefficients are output, the connection safety coefficients represent the influence degree of the connection nodes on cable safety, that is, the larger the influence of defects existing on the connection nodes on the cable safety is, the smaller the corresponding connection safety coefficients are, further, abnormal node judgment is performed on the plurality of connection safety coefficients, an expected connection safety coefficient can be set, a node smaller than the expected connection safety coefficient is selected from the plurality of connection safety coefficients to serve as an abnormal connection node, third early warning information is output according to the abnormal connection node, the third early warning information is information which is early warning information for the connection safety of the cable conduit, the position of the abnormal node is included, and workers can conveniently overhaul the corresponding node position according to the third early warning information, so that the safety monitoring effect of cable installation is improved.
The step S700 of the embodiment of the present application further includes:
Step S710: performing embedded part positioning on the preset laying path to obtain embedded part attribute information and embedded part position information;
step S720: performing influence analysis according to the embedded part attribute information and the embedded part position information to obtain the influence degree of the embedded part;
step S730: acquiring path adjustment information according to the influence degree of the embedded part;
step S740: and adjusting the preset laying path according to the path adjustment information, and outputting a laying optimization path.
Specifically, the embedded part is positioned on the preset laying path, the embedded part refers to a pipeline which is pre-installed around the preset laying path and comprises a heating pipeline, a fuel gas pipeline and the like, the type of the nearby pipeline and the installation position of the nearby pipeline can be obtained through being connected with a pipeline management platform in the corresponding area of the preset laying path and respectively used as the attribute information of the embedded part and the position information of the embedded part, the influence analysis is further carried out according to the attribute information of the embedded part and the position information of the embedded part, the influence degree of the embedded part is obtained, that is, when the cable laying is carried out, the standard distance between the embedded part and other types of pipelines is considered, for example, the horizontal minimum distance between an oil gas pipeline and a laying cable is 2 meters, if the horizontal distance between any laying position of the preset laying path and the oil gas pipeline is less than 2 meters, if the position of the embedded part is smaller than the standard distance, the preset laying path needs to be re-routed and adjusted, the adjusted preset laying path meets the standard distance with the embedded part, so that a re-routing adjustment scheme of the preset laying path is obtained as path adjustment information, the preset laying path is modified and adjusted, an optimized laying path is obtained, the accuracy of the cable installation process is improved, and the safety hidden trouble of the installed cable is prevented.
Based on the above analysis, the disclosure provides an identification monitoring method for intelligent cable installation, in this embodiment, first, information of a cable to be installed and information of a cable duct are collected, and by analyzing and processing the information of the cable to be installed and the information of the cable duct, whether the cable duct accords with the information of the cable to be installed is judged, so that the installation of the cable is monitored, the monitoring effect of cable installation is improved, abnormal cable installation is early warned in time, potential safety hazards of the installed cable are prevented, and a larger safety accident is caused.
Example two
Based on the same inventive concept as the identification monitoring method for smart cable installation in the foregoing embodiments, as shown in fig. 4, the present application further provides an identification monitoring system for smart cable installation, the system being communicatively connected to a data acquisition device, the system comprising:
A preset laying path obtaining module 11, where the preset laying path obtaining module 11 is configured to obtain a preset laying path of a first cable to be installed;
A cable conduit laying path obtaining module 12, where the cable conduit laying path obtaining module 12 is configured to obtain a cable conduit laying path according to the preset laying path;
the laying path data acquisition module 13 is used for carrying out data acquisition on the laying path of the cable conduit according to the data acquisition device to obtain a cable conduit curvature data set, a cable conduit section data set and a cable conduit connection data set;
The to-be-installed cable data acquisition module 14, wherein the to-be-installed cable data acquisition module 14 is used for acquiring cable material attribute information and cable section geometric information by carrying out data acquisition on the first to-be-installed cable;
The monitoring result obtaining module 15, where the monitoring result obtaining module 15 is configured to use the cable material attribute information and the cable section geometric information as first input data, and use the cable duct curvature data set, the cable duct section data set, and the cable duct connection data set as second data, to obtain a first monitoring result, a second monitoring result, and a third monitoring result based on the first cable to be installed;
The early warning information generation module 16 is configured to generate first early warning information and/or second early warning information and/or third early warning information according to the first monitoring result, the second monitoring result and the third monitoring result by using the early warning information generation module 16.
Further, the system further comprises:
The material analysis module is used for carrying out material analysis on the first cable to be installed according to the cable material attribute information to obtain a cable bending rate interval;
The cable duct bending rate output module is used for outputting the cable duct bending rate according to the cable duct bending data set;
the bending rate judging module is used for analyzing the cable bending rate interval and the cable duct bending rate and judging whether the cable duct bending rate is in the cable bending rate interval or not;
and the first early warning information output module is used for outputting the first early warning information if the bending rate of the cable conduit is not in the cable bending rate interval.
Further, the system further comprises:
The curvature data set acquisition module is used for acquiring the cable conduit curvature data set, wherein the cable conduit curvature data set comprises a forward continuous curvature data set and a reverse continuous curvature data set, and the forward continuous curvature data set and the reverse continuous curvature data set are in one-to-one correspondence;
and the average value calculation module is used for carrying out average value calculation on the forward continuous curvature data set and the reverse continuous curvature data set and outputting the cable duct bending rate.
Further, the system further comprises:
the size analysis module is used for carrying out size analysis on the first cable to be installed according to the geometric information of the cable section to obtain the cable diameter;
the catheter inner and outer diameter determining module is used for obtaining the cable catheter inner diameter and the cable catheter outer diameter by analyzing the cable catheter section data set;
The first catheter safety coefficient acquisition module is used for acquiring a first catheter safety coefficient according to the ratio of the inner diameter of the cable catheter to the outer diameter of the cable catheter;
the second conduit safety coefficient acquisition module is used for obtaining a second conduit safety coefficient by comparing the diameter of the cable with the inner diameter of the cable conduit;
And the catheter safety factor analysis module is used for outputting the second early warning information according to the first catheter safety factor and the second catheter safety factor.
Further, the system further comprises:
The first catheter safety factor judging module is used for judging whether the first catheter safety factor is larger than a first preset catheter safety factor or not;
The second catheter safety factor judging module is used for judging whether the second catheter safety factor is smaller than a second preset catheter safety factor or not if the first catheter safety factor is smaller than the first preset catheter safety factor;
The second early warning information output module is used for outputting the second early warning information if the second conduit safety coefficient is smaller than the second preset conduit safety coefficient.
Further, the system further comprises:
The plurality of connection node acquisition modules are used for acquiring a plurality of connection nodes according to the cable duct connection data set;
The connection safety coefficient acquisition module is used for outputting a plurality of connection safety coefficients according to the plurality of connection nodes;
the abnormal node judging module is used for judging the abnormal nodes of the plurality of connection safety coefficients to obtain abnormal connection nodes;
And the third early warning information output module is used for outputting the third early warning information according to the abnormal connection node.
Further, the system further comprises:
The embedded part positioning module is used for positioning the embedded part of the preset laying path and acquiring the attribute information and the position information of the embedded part;
the influence analysis module is used for carrying out influence analysis according to the embedded part attribute information and the embedded part position information to obtain the influence degree of the embedded part;
The path adjustment information acquisition module is used for acquiring path adjustment information according to the influence degree of the embedded part;
and the laying path adjusting module is used for adjusting the preset laying path according to the path adjusting information and outputting a laying optimization path.
A specific example of an identification monitoring method for smart cable installation in the foregoing embodiment is also applicable to an identification monitoring system for smart cable installation in the present embodiment, and from the foregoing detailed description of an identification monitoring method for smart cable installation, those skilled in the art will clearly know about an identification monitoring system for smart cable installation in the present embodiment, so that details thereof will not be described herein for brevity of description. For the device disclosed in the embodiment, since it corresponds to the method disclosed in the embodiment, the description is relatively simple, and the relevant points refer to the description of the method section.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel, sequentially, or in a different order, provided that the desired results of the disclosed aspects are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (8)
1. An identification monitoring method for smart cable installation, wherein the method is applied to a cable installation safety pre-warning system, the system is in communication connection with a data acquisition device, and the method comprises:
acquiring a preset laying path of a first cable to be installed;
acquiring a cable duct laying path according to the preset laying path;
According to the data acquisition device carries out data acquisition to the cable conduit laying path, obtains cable conduit curvature dataset, cable conduit cross section dataset and cable conduit connection dataset, and cable conduit connection dataset refers to the data of cable conduit junction, includes: whether the connection is tight, whether the connection part has a gap or not, and whether corrosion occurs or not;
acquiring cable material attribute information and cable section geometric information by acquiring data of the first cable to be installed;
Taking the cable material attribute information and the cable section geometric information as first input data, and the cable duct curvature data set, the cable duct section data set and the cable duct connection data set as second input data, so as to obtain a first monitoring result, a second monitoring result and a third monitoring result based on the first cable to be installed, wherein the method comprises the following steps:
invoking cable material attribute information in the first input data and a cable duct curvature data set in the second input data to analyze the cable duct and the first cable to be installed, analyzing a bending rate range which can be achieved by the first cable to be installed, thereby determining whether the curvature of the cable duct accords with the bending rate range of the cable, and taking the bending rate range as a first monitoring result;
Calling the cable section geometric information in the first input data and the cable duct section data set in the second input data to analyze whether the cable duct size meets the standard or not and whether the cable duct size corresponds to the size of the first cable to be installed or not, and taking the cable duct size and the size of the first cable to be installed as a second monitoring result;
Invoking a cable duct connection data set in the second input data to analyze the cable duct connection position, determining whether the connection position has the phenomena of void, corrosion and connection weakness, and taking the result as a third monitoring result;
And generating first early warning information and/or second early warning information and/or third early warning information according to the first monitoring result, the second monitoring result and the third monitoring result.
2. The method of claim 1, wherein the method further comprises:
Carrying out material analysis on the first cable to be installed according to the cable material attribute information to obtain a cable bending rate interval;
Outputting the bending rate of the cable duct according to the curvature data set of the cable duct;
Analyzing the cable bending rate interval and the cable duct bending rate, and judging whether the cable duct bending rate is in the cable bending rate interval or not;
And if the cable duct bending rate is not in the cable bending rate interval, outputting the first early warning information.
3. The method of claim 2, wherein the cable duct bend ratio is output from the cable duct curvature dataset, the method further comprising:
acquiring a cable duct curvature data set, wherein the cable duct curvature data set comprises a forward continuous curvature data set and a reverse continuous curvature data set, and the forward continuous curvature data set and the reverse continuous curvature data set are in one-to-one correspondence;
And carrying out mean value calculation on the forward continuous curvature data set and the reverse continuous curvature data set, and outputting the cable duct bending rate.
4. The method of claim 1, wherein the method further comprises:
performing size analysis on the first cable to be installed according to the geometric information of the cable section to obtain the cable diameter;
analyzing the cable duct section data set to obtain the inner diameter and the outer diameter of the cable duct;
obtaining a first conduit safety coefficient according to the ratio of the inner diameter of the cable conduit to the outer diameter of the cable conduit;
Obtaining a second conduit safety coefficient by comparing the cable diameter with the cable conduit inner diameter;
outputting the second early warning information according to the first conduit safety coefficient and the second conduit safety coefficient.
5. The method of claim 4, wherein the method further comprises:
judging whether the first conduit safety coefficient is larger than a first preset conduit safety coefficient or not;
If the first conduit safety coefficient is smaller than the first preset conduit safety coefficient, judging whether the second conduit safety coefficient is smaller than a second preset conduit safety coefficient;
and if the second conduit safety coefficient is smaller than the second preset conduit safety coefficient, outputting the second early warning information.
6. The method of claim 1, wherein the method further comprises:
acquiring a plurality of connection nodes according to the cable guide tube connection data set;
outputting a plurality of connection safety coefficients according to the plurality of connection nodes;
Performing abnormal node judgment on the plurality of connection safety coefficients to obtain abnormal connection nodes;
and outputting the third early warning information according to the abnormal connection node.
7. The method of claim 1, wherein after obtaining the predetermined cabling path for the first cable to be installed, the method further comprises:
performing embedded part positioning on the preset laying path to obtain embedded part attribute information and embedded part position information;
performing influence analysis according to the embedded part attribute information and the embedded part position information to obtain the influence degree of the embedded part;
acquiring path adjustment information according to the influence degree of the embedded part;
and adjusting the preset laying path according to the path adjustment information, and outputting a laying optimization path.
8. An identification monitoring system for smart cable installations, said system being in communication with a data acquisition device, said system comprising:
The system comprises a preset laying path acquisition module, a first cable to be installed and a second cable to be installed, wherein the preset laying path acquisition module is used for acquiring a preset laying path of the first cable to be installed;
The cable duct laying path acquisition module is used for acquiring a cable duct laying path according to the preset laying path;
The cabling path data acquisition module is used for carrying out data acquisition on the cabling path of the cable conduit according to the data acquisition device to obtain a cable conduit curvature data set, a cable conduit section data set and a cable conduit connection data set, wherein the cable conduit connection data set refers to data of a cable conduit connection part and comprises the following components: whether the connection is tight, whether the connection part has a gap or not, and whether corrosion occurs or not;
the to-be-installed cable data acquisition module is used for acquiring cable material attribute information and cable section geometric information by carrying out data acquisition on the first to-be-installed cable;
The monitoring result obtaining module is configured to use the cable material attribute information and the cable cross-section geometric information as first input data, and use the cable duct curvature dataset, the cable duct cross-section dataset and the cable duct connection dataset as second data, to obtain a first monitoring result, a second monitoring result and a third monitoring result based on the first cable to be installed, and the monitoring result obtaining module includes: invoking cable material attribute information in the first input data and a cable duct curvature data set in the second input data to analyze the cable duct and the first cable to be installed, analyzing a bending rate range which can be achieved by the first cable to be installed, thereby determining whether the curvature of the cable duct accords with the bending rate range of the cable, and taking the bending rate range as a first monitoring result; calling the cable section geometric information in the first input data and the cable duct section data set in the second input data to analyze whether the cable duct size meets the standard or not and whether the cable duct size corresponds to the size of the first cable to be installed or not, and taking the cable duct size and the size of the first cable to be installed as a second monitoring result; invoking a cable duct connection data set in the second input data to analyze the cable duct connection position, determining whether the connection position has the phenomena of void, corrosion and connection weakness, and taking the result as a third monitoring result;
The early warning information generation module is used for generating first early warning information and/or second early warning information and/or third early warning information according to the first monitoring result, the second monitoring result and the third monitoring result.
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