CN116909196B - Intelligent cable channel monitoring system and method based on Internet of things technology - Google Patents

Intelligent cable channel monitoring system and method based on Internet of things technology Download PDF

Info

Publication number
CN116909196B
CN116909196B CN202311115006.9A CN202311115006A CN116909196B CN 116909196 B CN116909196 B CN 116909196B CN 202311115006 A CN202311115006 A CN 202311115006A CN 116909196 B CN116909196 B CN 116909196B
Authority
CN
China
Prior art keywords
monitoring
cable channel
cable
unit
determining
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
CN202311115006.9A
Other languages
Chinese (zh)
Other versions
CN116909196A (en
Inventor
马聪
邝涛
王洋
毕清雪
张智
李�昊
蔺国勇
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Jinan Yinghua Automation Technology Co ltd
Jinan Power Supply Co of State Grid Shandong Electric Power Co Ltd
Original Assignee
Jinan Yinghua Automation Technology Co ltd
Jinan Power Supply Co of State Grid Shandong Electric Power Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Jinan Yinghua Automation Technology Co ltd, Jinan Power Supply Co of State Grid Shandong Electric Power Co Ltd filed Critical Jinan Yinghua Automation Technology Co ltd
Priority to CN202311115006.9A priority Critical patent/CN116909196B/en
Publication of CN116909196A publication Critical patent/CN116909196A/en
Application granted granted Critical
Publication of CN116909196B publication Critical patent/CN116909196B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Classifications

    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00Programme-control systems
    • G05B19/02Programme-control systems electric
    • G05B19/04Programme control other than numerical control, i.e. in sequence controllers or logic controllers
    • G05B19/042Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
    • G05B19/0428Safety, monitoring
    • GPHYSICS
    • G05CONTROLLING; REGULATING
    • G05BCONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00Program-control systems
    • G05B2219/20Pc systems
    • G05B2219/24Pc safety
    • G05B2219/24024Safety, surveillance

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Alarm Systems (AREA)

Abstract

The invention discloses an intelligent cable channel monitoring system and method based on the internet of things technology, which relate to the technical field of internet of things monitoring and comprise the following steps: s1, determining the installation interval of monitoring equipment according to the effective monitoring range of the monitoring equipment and the bending condition of a cable channel; s2, determining an overlapping area of an effective monitoring range of the monitoring equipment according to the installation interval, and installing a sensor in the overlapping area; s3, determining the specific installation position of the sensor in the overlapping area according to the node position of the cable laying; s4, starting analysis of image data acquired by the monitoring equipment according to the monitoring data of the sensor; s5, positioning the position of a fire point of the cable channel according to the analysis result of the image data; the installation position of the monitoring equipment is planned by combining the distribution diagram of the cable channel and the effective monitoring range, so that the occurrence of a monitoring blind area is avoided, the installation position of the sensor is limited, and the image data to be analyzed can be determined according to the monitoring data of the sensor when the cable channel is monitored.

Description

Intelligent cable channel monitoring system and method based on Internet of things technology
Technical Field
The invention relates to the technical field of monitoring of the Internet of things, in particular to an intelligent cable channel monitoring system and method based on the Internet of things technology.
Background
The cable channel is a totally-enclosed underground building for cable laying, a plurality of cables are laid in the cable channel, and the cable channel is provided with a channel for cable installation and inspection so as to be convenient for overhauling the cables in the channel;
the intelligent and unmanned monitoring of the cable channel is one of the important means for ensuring the normal operation of the cable channel;
in the prior art, in order to realize intelligent monitoring of the interior of a cable channel, the interior of the cable channel is monitored usually by sequentially installing sensors at equal intervals, so that whether fire disaster occurs in the interior of the cable channel is judged according to a monitoring result, however, the monitoring accuracy of the fire disaster is reduced due to the equidistant and sequential installing modes of the sensors, the occurrence of the fire disaster cannot be determined at the first time, the accurate positioning of the fire disaster ignition point cannot be realized, accurate rescue cannot be rapidly performed, the condition of fire disaster spreading occurs, and larger loss is caused;
therefore, an intelligent cable channel monitoring system and method based on the internet of things technology are urgently needed to solve the technical problems.
Disclosure of Invention
The invention aims to provide an intelligent cable channel monitoring system and method based on the internet of things technology, so as to solve the problems in the prior art.
In order to achieve the above purpose, the present invention provides the following technical solutions: the intelligent monitoring method for the cable channel based on the Internet of things technology comprises the following steps:
s1, determining the installation interval of the monitoring equipment according to the effective monitoring range of the monitoring equipment and the bending condition of the cable channel, wherein the bending condition possibly exists in the cable channel, so that in the monitoring process of the monitoring equipment, if the monitoring equipment has a plurality of monitoring blind areas according to the uniform installation interval, the installation of the monitoring equipment is determined according to the data analysis of the bending condition in the cable channel, and the monitoring blind areas can be effectively reduced, so that the monitoring of the cable channel is more comprehensive;
s2, determining an overlapping area of effective monitoring ranges of monitoring equipment according to the installation interval, installing a sensor in the overlapping area, and installing the sensor in the overlapping area so as to enable the sensor to be in the monitoring ranges of the two monitoring equipment, wherein when the sensor monitors data change, the accuracy of positioning the fire disaster position can be improved;
s3, determining the specific installation position of the sensor in the overlapping area according to the node position of the cable laying;
s4, starting analysis of image data acquired by the monitoring equipment according to the monitoring data of the sensor;
s5, positioning the position of the fire point of the cable channel according to the analysis result of the image data, wherein the position of the fire point can be positioned according to the monitoring of the sensor, and then the position of the area where the fire point is positioned can be further determined according to the analysis of the image data.
According to the technical scheme, the method comprises the following steps in S1:
s101, acquiring a cable channel distribution diagram, and performing digital processing on the cable channel distribution diagram;
s102, determining cable node information in a cable channel, and performing digital processing on the cable node information;
s103, determining the installation position information of the initial monitoring equipment;
s104, determining the installation position information of other monitoring equipment according to the effective monitoring range of the monitoring equipment, and performing digital processing on the effective monitoring range of the monitoring equipment;
s105, determining a monitoring blind area of the monitoring equipment on the cable channel according to the installation position information of the monitoring equipment in the cable channel and the effective monitoring range;
s106, determining whether the area of the monitoring blind area meets the set requirement;
s107, when the area of the monitoring blind area does not meet the set requirement, readjusting the installation position of the monitoring equipment;
s108, further analyzing and determining the installation position of the monitoring equipment by combining the cable nodes to form the final installation position of the monitoring equipment.
According to the technical scheme, in S101, a cable channel distribution diagram is obtained, a plane rectangular coordinate system is established on the cable channel distribution diagram, each point on the distribution diagram is endowed with coordinate values, and a projection view of the cable channel forms a function expression Z in the plane rectangular coordinate system;
in S102, the node coordinates of the cable inside the cable passage are determined, and a coordinate value set p= { (X) of the cable nodes is composed 1 ,Y 1 ),(X 2 ,Y 2 ),(X 3 ,Y 3 ),...,(X n ,Y n ) Where n represents that the cable inside the cable channel has n nodes;
in S103, the installation position coordinates of the first monitoring device are determined at the start point of the cable duct based on the effective monitoring range of the monitoring devices (E 1 ,F 1 );
In S104, a set of coordinates q= { (E) of the installation position of the monitoring device inside the cable channel is determined according to the effective monitoring range of the monitoring device and the installation position coordinates of the first monitoring device 1 ,F 1 ),(E 2 ,F 2 ),(E 3 ,F 3 )...,(E m ,F m ) M represents the installation position of m monitoring devices in the cable channel, each installation position is provided with two monitoring devices, and the effective monitoring range of the two monitoring devices forms a function expressionAnd->Wherein (1)>Functional expression representing the effective monitoring range of one of the monitoring devices at the jth mounting position in set Q,/for>A function expression representing the effective monitoring range of another monitoring device at the jth mounting position in the set Q;
in S105, solving the function expression Z and the function expressionAnd->Removing the overlapping area in the function expression Z to form a function expression Z ', and continuously repeating the operation to obtain a function expression Z ', wherein Z ' represents a function expression of a monitoring blind area formed by monitoring the cable channel by monitoring equipment;
because the overlapping area between the monitoring area of the monitoring device and the cable channel area is the area which can be monitored by the monitoring device, the area needs to be deleted, and the last remaining area is the monitoring blind area, in the step, the function is solved by a conventional mathematical mode, so that excessive redundant description is not made in the application;
in S106, when S ". Gtoreq.a" S, readjusting the installation position of the monitoring device to reform a new set Q, where S represents the total projected area of the cable channel and a represents a percentage threshold;
in S107, until the area S "of the function expression Z" satisfies S "< a×s, at this time, a set Q' = { (E) formed by the mounting position coordinates of the monitoring device is determined 1 ,F 1 ),(E 2 ’,F 2 ’),(E 3 ’,F 3 ’)...,(E m ’,F m ’)};
In S108, the distance between the coordinate value of the installation position of the monitoring equipment in the set Q' and the coordinate value of the cable node in the set P is solvedWherein i represents an ith cable node, and j represents a jth monitoring device;
when (when)When the installation position of the monitoring equipment is judged to be unqualified, the position of the jth monitoring equipment is required to be readjusted until all the monitoring equipment meets the inequality;
form the final set of monitoring device installation locations Q "= { (E) 1 ,F 1 ),(E 2 ”,F 2 ”),(E 3 ”,F 3 ”)...,(E m ”,F m ”)}。
Because the installation position of the monitoring device is higher and is a monitoring blind area within a certain distance below the monitoring device in the process of monitoring by using the monitoring device, the point with high fire rate like a cable node needs to be prevented from being monitored by the monitoring device, and therefore, the monitoring position of the monitoring device needs to be adjusted within an allowable range.
According to the technical scheme, in S2, the length of the monitoring overlapping area of two adjacent monitoring devices is determined according to the final installation position set Q' of the monitoring devices and the effective monitoring range of the monitoring devices;
calculating the distance between two adjacent monitoring devices according to the following formula
The length of the overlapping area between two adjacent monitoring devices isWherein L represents the effective monitoring length of the monitoring device;
in S3, the sensor is installed in the overlapping area of two adjacent monitoring devices, but the installation of the sensor does not coincide with the cable node.
According to the technical scheme, in S4, the gas concentration of the air is monitored by using the installed sensor, when the detected concentration exceeds the set threshold value, the fire inside the cable channel is judged, and the analysis of the image data acquired by the monitoring equipment is started.
According to the technical scheme, in S5, image data of four monitoring devices adjacent to a sensor for monitoring gas concentration change are acquired, and the image data are analyzed;
the analysis of the monitoring device image data comprises the steps of:
s501, preprocessing image data to obtain a smooth image;
s502, carrying out threshold processing on the smooth image to obtain a binarized image;
s503, extracting boundary points of the binarized image to obtain a contour map;
s504, giving coordinate values to each contour point on the contour map;
s505, respectively calculating the distance D between any contour point and the contour points in the adjacent four directions to obtain D 1 ,D 2 ,D 3 And D 4
S506, acquiring a plurality of contour point information on the same horizontal line on the contour map, and extracting D obtained by calculating the contour points on the same horizontal line through S505 1 ,D 2 ,D 3 And D 4 Respectively extracting the maximum value of the distances in a plurality of contour pointsWherein k represents the kth contour point in the extracted plurality of contour point information, and the maximum value of the extracted plurality of contour points is ordered;
s507, calculating the increment after sorting according to the following formula
If it isIf the change of the (c) is within the set threshold range, indicating that a fire exists in the image data, locating the position of the monitoring device and further locating the position of the fire.
When a fire point exists in the image data, after the contour map is acquired, the contour map formed by the fire point is composed of a plurality of annular areas with different sizes and irregular shapes, so that whether the plurality of environment areas with different sizes and irregular shapes exist in the image data can be effectively judged through the analysis mode, and whether the fire point exists in the image data can be judged through the analysis mode.
The intelligent monitoring system for the cable channel comprises a monitoring equipment position determining module, a sensor position determining module, a monitoring data analyzing module and an image data analyzing module;
the monitoring equipment position determining module is used for analyzing and determining the installation position of the monitoring equipment in the cable channel; the sensor position determining module is used for analyzing and determining the installation position of the sensor in the cable channel; the monitoring data analysis module is used for analyzing the gas concentration data monitored by the sensor; the image data analysis module is used for analyzing the image data acquired by the monitoring equipment and determining the position of the fire point in the cable channel.
According to the technical scheme, the monitoring equipment position determining module comprises a distribution map acquiring unit, a coordinate system establishing unit, a cable node determining unit, an initial position determining unit, a position adjusting unit and a final position determining unit;
the distribution map acquisition unit is used for acquiring a distribution map of the cable channel; the coordinate system establishing unit is used for establishing a plane rectangular coordinate system on the cable passage distribution diagram; the cable node determining unit is used for determining coordinate values of installation nodes of the cable in a plane rectangular coordinate system; the initial position determining unit is used for positioning and analyzing the initial installation position of the monitoring equipment in the cable channel; the position adjusting unit is used for adjusting the installation position of the monitoring equipment according to the monitoring blind area of the monitoring equipment; the final position determining unit is used for determining the final position of the monitoring equipment according to the position information of the cable node.
According to the technical scheme, the sensor position determining unit comprises an installation interval determining unit and an installation position avoiding unit;
the installation interval determining unit is used for determining the installation interval of the sensor according to the monitoring view angle overlapping area of the monitoring equipment determined by the monitoring equipment position determining module; the installation position avoidance unit is used for avoiding the installation position of the sensor according to the coordinate point of the cable node, and the sensor is only required to be positioned at the same point with the cable node in projection in the installation interval;
the monitoring data analysis module comprises a monitoring data judging unit, a monitoring equipment positioning unit and an image data calling unit;
the monitoring data judging unit is used for judging whether fire disaster occurs in the cable channel or not through a threshold value according to the monitoring data of the sensor; the monitoring equipment positioning unit is used for positioning monitoring equipment near a fire disaster according to a sensor with abnormal monitoring data; the image data retrieving unit is used for retrieving the image data of the monitoring equipment near the positioned fire disaster.
According to the technical scheme, the image data analysis module comprises a contour extraction unit, a coordinate value giving unit, a distance calculation unit, a maximum value extraction unit, an increment calculation unit and a result judgment unit;
the contour extraction unit is used for extracting a contour map of the image data through an image processing technology; the coordinate value giving unit is used for giving coordinate values to each contour point in the extracted contour map; the distance calculation unit is used for calculating the distance between any contour point and the contour points in the four adjacent directions respectively; the maximum value extraction unit is used for extracting the maximum value of the distance from the four distances calculated by the distance calculation unit; the increment calculating unit is used for calculating increment data of the distance maximum value of the contour points on the same horizontal line; the result judging unit is used for judging whether the fire point exists in the current image data according to the incremental data, so that the fire point is positioned.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the distribution diagram of the cable channel and the effective monitoring range of the monitoring equipment are combined, the installation position of the monitoring equipment is reasonably planned, the monitoring blind area is avoided, meanwhile, the installation position of the sensor is limited to a certain extent, so that when the cable channel is monitored in the later period, the image data to be analyzed can be quickly determined according to the monitoring data of the sensor, the analysis data quantity of the image data is reduced, the operation difficulty is improved, meanwhile, the positioning of the fire starting point of the fire can not be accurately realized through the sensor, the position area of the fire starting point of the fire can be accurately analyzed by matching with the monitoring equipment, the rescue processing of the fire starting point is conveniently and quickly carried out, and the spreading influence of the fire is reduced.
Drawings
FIG. 1 is a schematic flow chart of steps of an intelligent monitoring method for a cable channel based on the Internet of things technology;
fig. 2 is a schematic diagram of a cable duct of the intelligent monitoring system and method for cable duct based on the internet of things technology.
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.
Embodiment one: as shown in fig. 1-2, the invention provides the following technical scheme, namely an intelligent monitoring method for a cable channel based on the internet of things technology, which comprises the following steps:
s1, determining the installation interval of the monitoring equipment according to the effective monitoring range of the monitoring equipment and the bending condition of the cable channel, wherein the bending condition possibly exists in the cable channel, so that in the monitoring process of the monitoring equipment, if the monitoring equipment has a plurality of monitoring blind areas according to the uniform installation interval, the installation of the monitoring equipment is determined according to the data analysis of the bending condition in the cable channel, and the monitoring blind areas can be effectively reduced, so that the monitoring of the cable channel is more comprehensive;
in S101, a cable channel distribution diagram is obtained, a plane rectangular coordinate system is established on the cable channel distribution diagram, each point on the distribution diagram is endowed with coordinate values, and a projection view of the cable channel forms a function expression Z in the plane rectangular coordinate system;
in S102, the node coordinates of the cable inside the cable passage are determined, and a coordinate value set p= { (X) of the cable nodes is composed 1 ,Y 1 ),(X 2 ,Y 2 ),(X 3 ,Y 3 ),...,(X n ,Y n ) Where n represents that the cable inside the cable channel has n nodes;
in S103, the installation position coordinates of the first monitoring device are determined at the start point of the cable duct based on the effective monitoring range of the monitoring devices (E 1 ,F 1 ) The method comprises the steps of carrying out a first treatment on the surface of the For example: the effective monitoring range of the monitoring equipment is Lm, and the length of the installation position of the first monitoring equipment in the cable channel from the starting point of the cable channel is Lm, wherein two monitoring equipment are installed at the installation position of the monitoring equipment, and the two directions of the cable channel are monitored respectively;
in S104, a set of coordinates q= { (E) of the installation position of the monitoring device inside the cable channel is determined according to the effective monitoring range of the monitoring device and the installation position coordinates of the first monitoring device 1 ,F 1 ),(E 2 ,F 2 ),(E 3 ,F 3 )...,(E m ,F m ) Wherein m represents the installation position of m monitoring devices inside the cable channel, each installationTwo monitoring devices are arranged at the position, and the effective monitoring range of the two monitoring devices forms a function expressionAnd->Wherein (1)>Functional expression representing the effective monitoring range of one of the monitoring devices at the jth mounting position in set Q,/for>A function expression representing the effective monitoring range of another monitoring device at the jth mounting position in the set Q;
in S105, solving the function expression Z and the function expressionAnd->Removing the overlapping area in the function expression Z to form a function expression Z ', and continuously repeating the operation to obtain a function expression Z ', wherein Z ' represents a function expression of a monitoring blind area formed by monitoring the cable channel by monitoring equipment;
because the overlapping area between the monitoring area of the monitoring device and the cable channel area is the area which can be monitored by the monitoring device, the area needs to be deleted, and the last remaining area is the monitoring blind area, in the step, the function is solved by a conventional mathematical mode, so that excessive redundant description is not made in the application;
in S106, when S ". Gtoreq.a" S, readjusting the installation position of the monitoring device to reform a new set Q, where S represents the total projected area of the cable channel and a represents a percentage threshold;
in S107, until the area S "of the function expression Z" satisfies S "< a×s, at this time, a set Q' = { (E) formed by the mounting position coordinates of the monitoring device is determined 1 ,F 1 ),(E 2 ’,F 2 ’),(E 3 ’,F 3 ’)...,(E m ’,F m ’)};
In S108, the distance between the coordinate value of the installation position of the monitoring equipment in the set Q' and the coordinate value of the cable node in the set P is solvedWherein i represents an ith cable node, and j represents a jth monitoring device;
when (when)When the installation position of the monitoring equipment is judged to be unqualified, the position of the jth monitoring equipment is required to be readjusted until all the monitoring equipment meets the inequality;
form the final set of monitoring device installation locations Q "= { (E) 1 ,F 1 ),(E 2 ”,F 2 ”),(E 3 ”,F 3 ”)...,(E m ”,F m ”)}。
Because the installation position of the monitoring device is higher and is a monitoring blind area within a certain distance below the monitoring device in the process of monitoring by using the monitoring device, the point with high fire rate like a cable node needs to be prevented from being monitored by the monitoring device, and therefore, the monitoring position of the monitoring device needs to be adjusted within an allowable range.
S2, determining an overlapping area of effective monitoring ranges of monitoring equipment according to the installation interval, installing a sensor in the overlapping area, and installing the sensor in the overlapping area so as to enable the sensor to be in the monitoring ranges of the two monitoring equipment, wherein when the sensor monitors data change, the accuracy of positioning the fire disaster position can be improved;
in S2, determining the length of a monitoring overlapping area of two adjacent monitoring devices according to a final installation position set Q' of the monitoring devices and the effective monitoring range of the monitoring devices;
calculating the distance between two adjacent monitoring devices according to the following formula
The length of the overlapping area between two adjacent monitoring devices isWherein L represents the effective monitoring length of the monitoring device;
s3, determining the specific installation position of the sensor in the overlapping area according to the node position of the cable laying;
in S3, the sensor is installed in the overlapping area of two adjacent monitoring devices, but the installation of the sensor does not coincide with the cable node, because the cable node is the easiest to fire due to heat inside the cable channel, and because the sensor is installed at the top of the cable channel, a certain distance exists between the sensor and the cable node, and air flows inside the cable channel, therefore, if the sensor and the cable node are at the same point of the projection view, the sensor cannot complete the first time monitoring of the fire at the cable node.
The specific overlapping region coordinate range may be calculated according to coordinates of two adjacent monitoring devices, for example: if the ordinate of two adjacent monitoring devices is consistent, the abscissa of the two monitoring devices is used for respectively adding and subtracting L and then subtracting and adding the length of the overlapping areaThe abscissa of the two end points of the overlap region is obtained.
S4, starting analysis of image data acquired by the monitoring equipment according to the monitoring data of the sensor;
in S4, the gas concentration of the air is monitored by using the installed sensor, for example: CO concentration, CO 2 Concentration, HCl concentration and O 2 And when the detected concentration exceeds a set threshold, determining that the interior of the cable channel is on fire, and starting analysis of image data acquired by the monitoring equipment.
S5, positioning the position of the fire point of the cable channel according to the analysis result of the image data, wherein the position of the fire point can be positioned according to the monitoring of the sensor, and then the position of the area where the fire point is positioned can be further determined according to the analysis of the image data.
In S5, acquiring image data of four monitoring devices adjacent to the sensor for monitoring the gas concentration change, analyzing the image data, and positioning the approximate position of the ignition point through the monitoring of the sensor because the data amount of the image data is large, and positioning the accurate position through the image data analysis, so that the operation amount of the data analysis can be reduced, and meanwhile, the accuracy of the ignition point positioning is improved;
the analysis of the monitoring device image data comprises the steps of:
s501, preprocessing image data to obtain a smooth image;
s502, carrying out threshold processing on the smooth image to obtain a binarized image;
s503, extracting boundary points of the binarized image to obtain a contour map;
S501-S503 are all prior art for processing images to obtain profile images, so that redundant description is not made in the application;
s504, giving coordinate values to each contour point on the contour map;
s505, respectively calculating any contour point and wheels in four adjacent directionsDistance D between profile points to obtain D 1 ,D 2 ,D 3 And D 4
S506, acquiring a plurality of contour point information on the same horizontal line on the contour map, and extracting D obtained by calculating the contour points on the same horizontal line through S505 1 ,D 2 ,D 3 And D 4 Respectively extracting the maximum value of the distances in a plurality of contour pointsWherein k represents the kth contour point in the extracted plurality of contour point information, and the maximum value of the extracted plurality of contour points is ordered;
s507, calculating the increment after sorting according to the following formula
If it isIf the change of the (c) is within the set threshold range, indicating that a fire exists in the image data, locating the position of the monitoring device and further locating the position of the fire.
When a fire point exists in the image data, after the contour map is acquired, the contour map formed by the fire point is composed of a plurality of annular areas with different sizes and irregular shapes, so that whether the plurality of environment areas with different sizes and irregular shapes exist in the image data can be effectively judged through the analysis mode, and whether the fire point exists in the image data can be judged through the analysis mode.
Embodiment two: the intelligent monitoring system for the cable channel comprises a monitoring equipment position determining module, a sensor position determining module, a monitoring data analyzing module and an image data analyzing module;
the monitoring equipment position determining module is used for analyzing and determining the installation position of the monitoring equipment in the cable channel; the sensor position determining module is used for analyzing and determining the installation position of the sensor in the cable channel; the monitoring data analysis module is used for analyzing the gas concentration data monitored by the sensor; the image data analysis module is used for analyzing the image data acquired by the monitoring equipment and determining the position of the fire point in the cable channel.
The monitoring equipment position determining module comprises a distribution map acquiring unit, a coordinate system establishing unit, a cable node determining unit, an initial position determining unit, a position adjusting unit and a final position determining unit;
the distribution map acquisition unit is used for acquiring a distribution map of the cable channel; the coordinate system establishing unit is used for establishing a plane rectangular coordinate system on the cable passage distribution diagram; the cable node determining unit is used for determining coordinate values of installation nodes of the cable in a plane rectangular coordinate system; the initial position determining unit is used for positioning and analyzing the initial installation position of the monitoring equipment in the cable channel; the position adjusting unit is used for adjusting the installation position of the monitoring equipment according to the monitoring blind area of the monitoring equipment; the final position determining unit is used for determining the final position of the monitoring equipment according to the position information of the cable node.
The sensor position determining unit comprises an installation interval determining unit and an installation position avoiding unit;
the installation interval determining unit is used for determining the installation interval of the sensor according to the monitoring view angle overlapping area of the monitoring equipment determined by the monitoring equipment position determining module; the installation position avoidance unit is used for avoiding the installation position of the sensor according to the coordinate point of the cable node, and the sensor is only required to be positioned at the same point with the cable node in projection in the installation interval;
the monitoring data analysis module comprises a monitoring data judging unit, a monitoring equipment positioning unit and an image data calling unit;
the monitoring data judging unit is used for judging whether fire disaster occurs in the cable channel or not through a threshold value according to the monitoring data of the sensor; the monitoring equipment positioning unit is used for positioning monitoring equipment near a fire disaster according to a sensor with abnormal monitoring data; the image data retrieving unit is used for retrieving the image data of the monitoring equipment near the positioned fire disaster.
The image data analysis module comprises a contour extraction unit, a coordinate value giving unit, a distance calculation unit, a maximum value extraction unit, an increment calculation unit and a result judgment unit;
the contour extraction unit is used for extracting a contour map of the image data through an image processing technology; the coordinate value giving unit is used for giving coordinate values to each contour point in the extracted contour map; the distance calculation unit is used for calculating the distance between any contour point and the contour points in the four adjacent directions respectively; the maximum value extraction unit is used for extracting the maximum value of the distance from the four distances calculated by the distance calculation unit; the increment calculating unit is used for calculating increment data of the distance maximum value of the contour points on the same horizontal line; the result judging unit is used for judging whether the fire point exists in the current image data according to the incremental data, so that the fire point is positioned.
Embodiment III:
in S101, a cable channel distribution diagram is obtained, a plane rectangular coordinate system is established on the cable channel distribution diagram, each point on the distribution diagram is endowed with coordinate values, and a projection view of the cable channel forms a function expression Z in the plane rectangular coordinate system;
in S102, the node coordinates of the cable inside the cable passage are determined, and a coordinate value set p= { (X) of the cable nodes is composed 1 ,Y 1 ),(X 2 ,Y 2 ),(X 3 ,Y 3 ),...,(X 20 ,Y 20 )};
In S103, determining the installation position coordinates (30, 0) of the first monitoring device at the start point of the cable passage according to the effective monitoring range of the monitoring device;
at S104, determining a set of coordinates Q= { (E) of the installation position of the monitoring device in the cable channel according to the effective monitoring range of the monitoring device and the installation position coordinates of the first monitoring device 1 ,F 1 ),(E 2 ,F 2 ),(E 3 ,F 3 )...,(E 30 ,F 30 ) Two monitoring devices are installed at each installation position, and the effective monitoring range of the two monitoring devices forms a function expressionAnd->Wherein (1)>Functional expression representing the effective monitoring range of one of the monitoring devices at the jth mounting position in set Q,/for>A function expression representing the effective monitoring range of another monitoring device at the jth mounting position in the set Q;
in S105, solving the function expression Z and the function expressionAnd->Removing the overlapping area in the function expression Z to form a function expression Z ', and continuously repeating the operation to obtain a function expression Z ', wherein Z ' represents a function expression of a monitoring blind area formed by monitoring the cable channel by monitoring equipment;
in S106, the area S "=13, S" =13++a×s=10×120 of the solution function expression Z ", readjusting the installation position of the monitoring device, and reforming a new set Q;
in S107, until the function expresses Z'Is "S" =9.3 < a×s=10% ×120, at which time a set Q' = { (E) of the mounting position coordinates of the monitoring device is determined 1 ,F 1 ),(E 2 ’,F 2 ’),(E 3 ’,F 3 ’)...,(E 32 ’,F 32 ’)};
In S108, the distance between the coordinate value of the installation position of the monitoring equipment in the set Q' and the coordinate value of the cable node in the set P is solvedWherein i represents an ith cable node, and j represents a jth monitoring device;
when (when)When the installation position of the monitoring equipment is judged to be unqualified, the position of the jth monitoring equipment is required to be readjusted until all the monitoring equipment meets the inequality;
form the final set of monitoring device installation locations Q "= { (E) 1 ,F 1 ),(E 2 ”,F 2 ”),(E 3 ”,F 3 ”)...,(E 31 ”,F 31 ”)}。
S2, determining an overlapping area of an effective monitoring range of the monitoring equipment according to the installation interval, and installing a sensor in the overlapping area;
in S2, determining the length of a monitoring overlapping area of two adjacent monitoring devices according to a final installation position set Q' of the monitoring devices and the effective monitoring range of the monitoring devices;
calculating the distance between two adjacent monitoring devices according to the following formula
The length of the overlapping area between two adjacent monitoring devices is Where l=30 represents the effective monitoring length of the monitoring device;
s3, determining the specific installation position of the sensor in the overlapping area according to the node position of the cable laying;
in S3, the sensor is installed in the overlapping area of two adjacent monitoring devices, but the installation of the sensor does not coincide with the cable node.
S4, starting analysis of image data acquired by the monitoring equipment according to the monitoring data of the sensor;
in S4, the gas concentration of the air is monitored by using the installed sensor, when the detected concentration exceeds a set threshold value, the internal fire of the cable channel is judged, and the analysis of the image data acquired by the monitoring equipment is started.
S5, positioning the position of the fire point of the cable channel according to the analysis result of the image data.
In S5, acquiring image data of four monitoring devices adjacent to the sensor for monitoring the gas concentration change, and analyzing the image data;
the analysis of the monitoring device image data comprises the steps of:
s501, preprocessing image data to obtain a smooth image;
s502, carrying out threshold processing on the smooth image to obtain a binarized image;
s503, extracting boundary points of the binarized image to obtain a contour map;
s504, giving coordinate values to each contour point on the contour map;
s505, respectively calculating the distance D between any contour point and the contour points in the adjacent four directions to obtain D 1 ,D 2 ,D 3 And D 4
S506, acquiring a plurality of wheels on the same horizontal line on the profileExtracting the contour point information, and extracting the D obtained by calculating the contour point on the same horizontal line in S505 1 ,D 2 ,D 3 And D 4 Respectively extracting the maximum value of the distances in a plurality of contour pointsWherein k represents the kth contour point in the extracted plurality of contour point information, and the maximum value of the extracted plurality of contour points is ordered +.>
S507, calculating the increment after sorting according to the following formula
If the change of the (c) is within the set threshold range of 0.2, indicating that a fire exists in the image data, locating the position of the monitoring device and further locating the position of the fire.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential characteristics thereof. The present embodiments are, therefore, to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.

Claims (8)

1. The intelligent monitoring method for the cable channel based on the internet of things technology is characterized by comprising the following steps of:
s1, determining the installation interval of monitoring equipment according to the effective monitoring range of the monitoring equipment and the bending condition of a cable channel;
s2, determining an overlapping area of an effective monitoring range of the monitoring equipment according to the installation interval, and installing a sensor in the overlapping area;
s3, determining the specific installation position of the sensor in the overlapping area according to the node position of the cable laying;
in S3, the sensor is installed in the overlapping area of two adjacent monitoring devices, but the installation of the sensor does not coincide with the cable node;
s4, starting analysis of image data acquired by the monitoring equipment according to the monitoring data of the sensor;
s5, positioning the position of a fire point of the cable channel according to the analysis result of the image data;
the step S1 comprises the following steps:
s101, acquiring a cable channel distribution diagram, and performing digital processing on the cable channel distribution diagram;
s102, determining cable node information in a cable channel, and performing digital processing on the cable node information;
s103, determining the installation position information of the initial monitoring equipment;
s104, determining the installation position information of other monitoring equipment according to the effective monitoring range of the monitoring equipment, and performing digital processing on the effective monitoring range of the monitoring equipment;
s105, determining a monitoring blind area of the monitoring equipment on the cable channel according to the installation position information of the monitoring equipment in the cable channel and the effective monitoring range;
s106, determining whether the area of the monitoring blind area meets the set requirement;
s107, when the area of the monitoring blind area does not meet the set requirement, readjusting the installation position of the monitoring equipment;
s108, further analyzing and determining the installation position of the monitoring equipment by combining the cable nodes to form a final installation position of the monitoring equipment;
in S101, a cable channel distribution diagram is obtained, a plane rectangular coordinate system is established on the cable channel distribution diagram, each point on the distribution diagram is endowed with coordinate values, and a projection view of the cable channel forms a function expression Z in the plane rectangular coordinate system;
in S102, the node coordinates of the cable inside the cable passage are determined, and a coordinate value set p= { (X) of the cable nodes is composed 1 ,Y 1 ),(X 2 ,Y 2 ),(X 3 ,Y 3 ),...,(X n ,Y n ) Where n represents that the cable inside the cable channel has n nodes;
in S103, the installation position coordinates of the first monitoring device are determined at the start point of the cable duct based on the effective monitoring range of the monitoring devices (E 1 ,F 1 );
In S104, a set of coordinates q= { (E) of the installation position of the monitoring device inside the cable channel is determined according to the effective monitoring range of the monitoring device and the installation position coordinates of the first monitoring device 1 ,F 1 ),(E 2 ,F 2 ),(E 3 ,F 3 )...,(E m ,F m ) M represents the installation position of m monitoring devices in the cable channel, each installation position is provided with two monitoring devices, and the effective monitoring range of the two monitoring devices forms a function expressionAnd, itIn (I)>Functional expression representing the effective monitoring range of one of the monitoring devices at the jth mounting position in set Q,/for>A function expression representing the effective monitoring range of another monitoring device at the jth mounting position in the set Q;
in S105, solving the function expression Z and the function expressionAnd->Removing the overlapping area in the function expression Z to form a function expression Z ', and continuously repeating the operation to obtain a function expression Z ', wherein Z ' represents a function expression of a monitoring blind area formed by monitoring the cable channel by monitoring equipment;
in S106, the solving function expresses the area S 'of Z ", and when S' is equal to or greater than a×s, the installation position of the monitoring device is readjusted, and a new set Q is reformed, where S represents the total projected area of the cable channel, and a represents a percentage threshold;
in S107, until the area S "of the functional expression Z" satisfies S "< a×s, at this time, a set Q' = { (E) formed by the mounting position coordinates of the monitoring device is determined 1 ,F 1 ),(E 2 ’,F 2 ’),(E 3 ’,F 3 ’)...,(E m ’,F m ’)};
In S108, the distance between the coordinate value of the installation position of the monitoring equipment in the set Q' and the coordinate value of the cable node in the set P is solvedWherein i represents an ith cable node, and j represents a jth monitoring device;
when (when)When the installation position of the monitoring equipment is judged to be unqualified, the position of the jth monitoring equipment is required to be readjusted until all the monitoring equipment meets the inequality +.>
Form the final set of monitoring device installation locations q″ = { (E) 1 ,F 1 ),(E 2 ’’,F 2 ’’),(E 3 ’’,F 3 ’’)...,(E m ’’,F m ’’)}。
2. The intelligent monitoring method for the cable channel based on the internet of things technology as set forth in claim 1, wherein: in S2, determining the length of a monitoring overlapping area of two adjacent monitoring devices according to a final installation position set Q' of the monitoring devices and the effective monitoring range of the monitoring devices;
calculating the distance between two adjacent monitoring devices according to the following formula
The length of the overlapping area between two adjacent monitoring devices isWhere L represents the effective monitoring length of the monitoring device.
3. The intelligent monitoring method for the cable channel based on the internet of things technology as set forth in claim 2, wherein: in S4, the gas concentration of the air is monitored by using the installed sensor, when the detected concentration exceeds a set threshold value, the internal fire of the cable channel is judged, and the analysis of the image data acquired by the monitoring equipment is started.
4. The intelligent monitoring method for the cable channel based on the internet of things technology according to claim 3, wherein the intelligent monitoring method is characterized by comprising the following steps of: in S5, acquiring image data of four monitoring devices adjacent to the sensor for monitoring the gas concentration change, and analyzing the image data;
the analysis of the monitoring device image data comprises the steps of:
s501, preprocessing image data to obtain a smooth image;
s502, carrying out threshold processing on the smooth image to obtain a binarized image;
s503, extracting boundary points of the binarized image to obtain a contour map;
s504, giving coordinate values to each contour point on the contour map;
s505, respectively calculating the distance D between any contour point and the contour points in the adjacent four directions to obtain D 1 ,D 2 ,D 3 And D 4
S506, acquiring a plurality of contour point information on the same horizontal line on the contour map, and extracting D obtained by calculating the contour points on the same horizontal line through S505 1 ,D 2 ,D 3 And D 4 Respectively extracting the maximum value of the distances in a plurality of contour pointsWherein k represents a kth contour point in the extracted plurality of contour point information, and the maximum value of the extracted plurality of contour points is ordered;
s507, calculating the increment after sorting according to the following formula
If it isIf the change of the (c) is within the set threshold range, indicating that a fire exists in the image data, locating the position of the monitoring device and further locating the position of the fire.
5. A cable channel intelligent monitoring system for implementing the cable channel intelligent monitoring method of any one of claims 1-4, characterized in that: the intelligent monitoring system for the cable channel comprises a monitoring equipment position determining module, a sensor position determining module, a monitoring data analyzing module and an image data analyzing module;
the monitoring equipment position determining module is used for analyzing and determining the installation position of the monitoring equipment in the cable channel; the sensor position determining module is used for analyzing and determining the installation position of the sensor in the cable channel; the monitoring data analysis module is used for analyzing the gas concentration data monitored by the sensor; the image data analysis module is used for analyzing the image data acquired by the monitoring equipment and determining the position of the fire point in the cable channel.
6. The intelligent cable channel monitoring system and method according to claim 5, wherein: the monitoring equipment position determining module comprises a distribution map acquiring unit, a coordinate system establishing unit, a cable node determining unit, an initial position determining unit, a position adjusting unit and a final position determining unit;
the distribution map acquisition unit is used for acquiring a distribution map of the cable channel; the coordinate system establishing unit is used for establishing a plane rectangular coordinate system on the cable passage distribution diagram; the cable node determining unit is used for determining coordinate values of installation nodes of the cable in a plane rectangular coordinate system; the initial position determining unit is used for positioning and analyzing the initial installation position of the monitoring equipment in the cable channel; the position adjusting unit is used for adjusting the installation position of the monitoring equipment according to the monitoring blind area of the monitoring equipment; the final position determining unit is used for determining the final position of the monitoring equipment according to the position information of the cable node.
7. The intelligent cable channel monitoring system and method according to claim 6, wherein: the sensor position determining unit comprises an installation interval determining unit and an installation position avoiding unit;
the installation interval determining unit is used for determining the installation interval of the sensor according to the monitoring view angle overlapping area of the monitoring equipment determined by the monitoring equipment position determining module; the installation position avoidance unit is used for avoiding the installation position of the sensor according to the coordinate point of the cable node, and the sensor is only required to be positioned at the same point with the cable node in projection in the installation interval;
the monitoring data analysis module comprises a monitoring data judging unit, a monitoring equipment positioning unit and an image data calling unit;
the monitoring data judging unit is used for judging whether fire disaster occurs in the cable channel or not through a threshold value according to the monitoring data of the sensor; the monitoring equipment positioning unit is used for positioning monitoring equipment near a fire disaster according to a sensor with abnormal monitoring data; the image data retrieving unit is used for retrieving the image data of the monitoring equipment near the positioned fire disaster.
8. The intelligent cable channel monitoring system and method according to claim 7, wherein: the image data analysis module comprises a contour extraction unit, a coordinate value giving unit, a distance calculation unit, a maximum value extraction unit, an increment calculation unit and a result judgment unit;
the contour extraction unit is used for extracting a contour map of the image data through an image processing technology; the coordinate value giving unit is used for giving coordinate values to each contour point in the extracted contour map; the distance calculation unit is used for calculating the distance between any contour point and the contour points in the four adjacent directions respectively; the maximum value extraction unit is used for extracting the maximum value of the distance from the four distances calculated by the distance calculation unit; the increment calculating unit is used for calculating increment data of the distance maximum value of the contour points on the same horizontal line; the result judging unit is used for judging whether the fire point exists in the current image data according to the incremental data, so that the fire point is positioned.
CN202311115006.9A 2023-08-31 2023-08-31 Intelligent cable channel monitoring system and method based on Internet of things technology Active CN116909196B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202311115006.9A CN116909196B (en) 2023-08-31 2023-08-31 Intelligent cable channel monitoring system and method based on Internet of things technology

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202311115006.9A CN116909196B (en) 2023-08-31 2023-08-31 Intelligent cable channel monitoring system and method based on Internet of things technology

Publications (2)

Publication Number Publication Date
CN116909196A CN116909196A (en) 2023-10-20
CN116909196B true CN116909196B (en) 2024-03-15

Family

ID=88360457

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202311115006.9A Active CN116909196B (en) 2023-08-31 2023-08-31 Intelligent cable channel monitoring system and method based on Internet of things technology

Country Status (1)

Country Link
CN (1) CN116909196B (en)

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20080038721A (en) * 2006-10-31 2008-05-07 한국전력공사 The detecting method and detecting apparatus of cable temperature and gas in underground power cable tunnel using sensing ubiquitous sensor network technology
CN109561281A (en) * 2018-11-15 2019-04-02 陕西瑞海工程智慧数据科技有限公司 Industrial equipment method for safety monitoring, device, control device and readable storage medium storing program for executing
CN110613911A (en) * 2019-09-29 2019-12-27 国网山东省电力公司寿光市供电公司 Intelligent monitoring system for cable tunnel
CN113329090A (en) * 2021-06-04 2021-08-31 国网山东省电力公司济南供电公司 Cable channel monitoring intelligent type edge agent device based on internet of things technology
CN214121269U (en) * 2020-09-09 2021-09-03 北京潞电电气设备有限公司 Cable tunnel monitoring system
CN115248873A (en) * 2022-09-22 2022-10-28 国网山西省电力公司太原供电公司 Cable tunnel safety monitoring method and system based on data fusion
CN115941529A (en) * 2022-11-28 2023-04-07 国网江苏省电力工程咨询有限公司 Cable tunnel detection method and system based on robot
CN219038190U (en) * 2023-04-03 2023-05-16 中铁第四勘察设计院集团有限公司 Cable temperature detection device used in tunnel

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
KR20080038721A (en) * 2006-10-31 2008-05-07 한국전력공사 The detecting method and detecting apparatus of cable temperature and gas in underground power cable tunnel using sensing ubiquitous sensor network technology
CN109561281A (en) * 2018-11-15 2019-04-02 陕西瑞海工程智慧数据科技有限公司 Industrial equipment method for safety monitoring, device, control device and readable storage medium storing program for executing
CN110613911A (en) * 2019-09-29 2019-12-27 国网山东省电力公司寿光市供电公司 Intelligent monitoring system for cable tunnel
CN214121269U (en) * 2020-09-09 2021-09-03 北京潞电电气设备有限公司 Cable tunnel monitoring system
CN113329090A (en) * 2021-06-04 2021-08-31 国网山东省电力公司济南供电公司 Cable channel monitoring intelligent type edge agent device based on internet of things technology
CN115248873A (en) * 2022-09-22 2022-10-28 国网山西省电力公司太原供电公司 Cable tunnel safety monitoring method and system based on data fusion
CN115941529A (en) * 2022-11-28 2023-04-07 国网江苏省电力工程咨询有限公司 Cable tunnel detection method and system based on robot
CN219038190U (en) * 2023-04-03 2023-05-16 中铁第四勘察设计院集团有限公司 Cable temperature detection device used in tunnel

Also Published As

Publication number Publication date
CN116909196A (en) 2023-10-20

Similar Documents

Publication Publication Date Title
CN108269322B (en) Inspection method
CN110708114A (en) Optical cable line fault positioning and visualization method and system based on AI image identification
CN111141225B (en) Steel bar size measuring method and system based on laser array
CN112596545A (en) Multispectral-based water pollution source head unmanned aerial vehicle troubleshooting method and system and storage medium
CN111337789A (en) Method and system for detecting fault electrical element in high-voltage transmission line
CN102928655A (en) Method for detecting power abnormal data
CN116909196B (en) Intelligent cable channel monitoring system and method based on Internet of things technology
CN117114348A (en) Digital delivery analysis management system for coal construction engineering
US20210150692A1 (en) System and method for early identification and monitoring of defects in transportation infrastructure
CN111443091B (en) Cable line tunnel engineering defect judging method
CN116090838B (en) Automatic building site system of patrolling and examining based on camera
CN113065462A (en) Monitoring method, device, equipment and storage medium for power grid overhead line
CN112866605A (en) 5G-based pipe gallery monitoring method and device, terminal and storage medium
CN116007626B (en) Integrated comprehensive positioning system
CN111862023A (en) Pantograph structure abnormity detection method based on computer vision
CN116698134A (en) Safety monitoring system for operation of underground limited space of power grid
CN113516091B (en) Method for identifying electric spark image of transformer substation
CN116243114A (en) Cable fault detection method and system based on infrared imaging technology
CN115544614A (en) Wiring system construction method based on BIM5D remote monitoring
CN110688776B (en) Pipe burst identification method based on pipe network adjustment
CN112330670A (en) Tunnel drilling robot drilling method and device, drilling robot and medium
CN113420919A (en) Engineering abnormity control method based on unmanned aerial vehicle visual perception
CN116449898B (en) Remote temperature and humidity control system for switch cabinet
CN111210122B (en) Parameter isolation-based sintering non-optimal operation performance reason tracing method and system
CN115662033B (en) Dynamic identification monitoring system for construction fence of foundation engineering

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant